feat: linkedin

[grantdfoster]

Pull Request Summary: LinkedIn Integration for TEE Types

🎯 Overview

This PR introduces comprehensive LinkedIn integration support to the tee-types repository, enabling LinkedIn profile scraping and search capabilities across the TEE (Trusted Execution Environment) ecosystem.

📊 Changes Summary

• 22 files changed: 1,802 additions, 232 deletions
• New LinkedIn job type with full profile search capabilities
• Comprehensive type definitions for LinkedIn profiles, industries, functions, and experiences
• Enhanced argument validation and unmarshalling logic

🚀 Key Features Added

1. LinkedIn Job Type Support

• Added LinkedInJob job type constant
• Implemented CapSearchByProfile capability for LinkedIn operations
• Added LinkedIn-specific capability mapping and validation

2. LinkedIn Profile Types (types/linkedin/profile/profile.go)

• Complete Profile Structure: 261 lines of comprehensive LinkedIn profile data model
• Scraper Modes: Support for Short, Full, and Full+Email scraping modes
• Rich Data Fields:
  • Basic info (name, headline, location, photo)
  • Professional details (current/past positions, experience, education)
  • Skills, certifications, projects, volunteering
  • Publications, patents, honors, languages
  • Email extraction capabilities for Full+Email mode

3. LinkedIn Industry Classifications (types/linkedin/industries/industries.go)

• 717 lines of comprehensive industry taxonomy
• 100+ industry categories including:
  • Technology & Software (Software Development, AI, Blockchain)
  • Financial Services (Banking, Insurance, VC/PE)
  • Healthcare & Medical
  • Manufacturing & Engineering
  • Retail & Consumer Goods
  • And many more specialized sectors

4. LinkedIn Function Classifications (types/linkedin/functions/functions.go)

• 121 lines of job function definitions
• 25 core functions including:
  • Engineering, Product Management, Sales
  • Marketing, Finance, Human Resources
  • Legal, Operations, Research
  • And other professional functions

5. LinkedIn Experience & Seniority Types

• Experience levels (types/linkedin/experiences/experiences.go)
• Seniority classifications (types/linkedin/seniorities/seniorities.go)
• Support for years of experience and tenure tracking

6. Enhanced Argument System (args/linkedin/profile/profile.go)

• 132 lines of LinkedIn-specific argument handling
• Comprehensive validation for all LinkedIn search parameters
• Flexible search criteria:
  • Location, company, job title filters
  • Industry, function, seniority level filters
  • Experience and tenure requirements
  • Name-based searches
  • Pagination support

7. Improved Type System

• Enhanced unmarshalling with better error handling
• Type safety improvements across all LinkedIn types
• Comprehensive test coverage with 222 lines of tests
• JSON serialization optimizations with proper omitempty tags

🔧 Technical Improvements

Code Quality

• Consistent error handling with custom error types
• Comprehensive validation for all input parameters
• Type-safe enums using Go's type system
• Proper JSON marshalling/unmarshalling with validation

Testing

• Unit tests for all LinkedIn types and functions
• Validation tests for argument processing
• Unmarshalling tests for JSON handling
• Edge case coverage for error conditions

Integration

• Seamless integration with existing TEE job system
• Backward compatibility maintained
• Consistent API with other job types (Twitter, Reddit, etc.)

🎯 Use Cases Enabled

1. Professional Profile Search: Find LinkedIn profiles by name, company, location
2. Industry-Specific Searches: Target specific industries and functions
3. Experience-Based Filtering: Search by years of experience and seniority
4. Company Research: Find employees at specific companies
5. Skill-Based Discovery: Search profiles by skills and expertise
6. Email Discovery: Extract contact information (with Full+Email mode)

🔄 Integration Impact

This PR enables the tee-indexer and tee-worker repositories to:

• Process LinkedIn profile search requests
• Store and index LinkedIn profile data
• Perform semantic search across LinkedIn profiles
• Support complex filtering and search criteria

✅ Quality Assurance

• Comprehensive validation for all input parameters
• Type safety throughout the codebase
• Extensive test coverage with unit and integration tests
• Error handling with meaningful error messages
• Documentation with clear type definitions and examples

This PR establishes a solid foundation for LinkedIn integration within the TEE ecosystem, providing the type definitions and validation logic needed for robust LinkedIn profile scraping and search capabilities.

[Copilot]

Pull Request Overview

This PR adds comprehensive LinkedIn functionality to the tee-types repository, introducing new data structures and types for LinkedIn profile operations. The changes establish a complete type system for LinkedIn searches, profiles, industries, functions, experiences, and seniorities while updating the existing argument structure to support the new LinkedIn capabilities.

• Introduces a complete LinkedIn type system with profile types, industry classifications, job functions, experience levels, and seniority hierarchies
• Refactors LinkedIn arguments to use strongly-typed capabilities instead of string-based query types
• Adds comprehensive validation and testing for LinkedIn profile search operations

Reviewed Changes

Copilot reviewed 21 out of 21 changed files in this pull request and generated 10 comments.

Show a summary per file

File	Description
types/types.go	Exports LinkedIn module for external access
types/linkedin/	Complete LinkedIn type system including profiles, industries, functions, experiences, and seniorities
args/linkedin/	New LinkedIn-specific argument structures with validation
args/unmarshaller.go	Updated to handle new LinkedIn argument types and capabilities
args/twitter.go	Refactored to use typed capabilities instead of strings
types/jobs.go	Updated job capability mappings for LinkedIn
types/linkedin.go	Removed old LinkedIn types (replaced by new structure)

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[Copilot]

Pull Request Overview

Copilot reviewed 21 out of 21 changed files in this pull request and generated no new comments.

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[Copilot]

Pull Request Overview

Copilot reviewed 21 out of 22 changed files in this pull request and generated no new comments.

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[Copilot]

Pull Request Overview

Copilot reviewed 21 out of 22 changed files in this pull request and generated no new comments.

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[rapidfix]

Looking good!