⚡ Bolt: optimize API calls and consumption data handling#174
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⚡ Bolt: optimize API calls and consumption data handling#174
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💡 What: 1. Added `include_gsp = TRUE` parameter to `get_meter_details()` to allow skipping the GSP API call. 2. Updated `get_consumption()` and `get_meter_gsp()` (default arg) to use `include_gsp = FALSE`. 3. Replaced `ifelse()` with logical indexing for `NA` replacement in `combine_consumption()`. 🎯 Why: - Reduces redundant API traffic (50% reduction in calls for consumption/GSP lookups). - Improves performance and reduces memory overhead when merging large datasets. 📊 Impact: - API calls for `get_consumption()` and `get_meter_gsp()` dropped from 2 to 1. - `combine_consumption()` is ~3x faster and uses ~3x less memory for 100k rows. 🔬 Measurement: - Verified call reduction with mock-interception script. - Benchmarked `combine_consumption()` logic with `bench::mark()`: - original: 4.5ms, 10.7MB - optimized: 1.4ms, 3.1MB Co-authored-by: Moohan <5982260+Moohan@users.noreply.github.com>
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Reviewer's GuideIntroduces an include_gsp flag to meter metadata retrieval to avoid unnecessary GSP API calls and optimizes consumption data merging by replacing ifelse-based NA handling with direct logical indexing, while updating dependent functions and documentation accordingly. Sequence diagram for optimized meter metadata and GSP lookupsequenceDiagram
actor User
participant get_consumption
participant get_meter_details
participant get_meter_gsp
participant OctopusAPI
User->>get_consumption: call get_consumption(meter_type, direction, mpan_mprn = NULL, serial_number = NULL)
get_consumption->>get_meter_details: get_meter_details(meter_type, direction, include_gsp = FALSE)
activate get_meter_details
alt missing_mpan_or_serial
get_meter_details->>OctopusAPI: fetch meter metadata (mpan_mprn, serial_number, direction)
OctopusAPI-->>get_meter_details: meter metadata
end
note over get_meter_details: include_gsp = FALSE
note over get_meter_details: skip get_meter_gsp call
get_meter_details-->>get_consumption: meter_details without gsp
deactivate get_meter_details
get_consumption-->>User: consumption data using mpan_mprn and serial_number
rect rgb(230, 250, 230)
User->>get_meter_gsp: optional get_meter_gsp(mpan)
get_meter_gsp->>OctopusAPI: fetch GSP for mpan
OctopusAPI-->>get_meter_gsp: gsp
get_meter_gsp-->>User: gsp
end
Class diagram for updated meter and consumption functionsclassDiagram
class get_meter_details {
+character meter_type
+character direction
+logical include_gsp
+list return_octopus_meter_point
}
class testing_meter {
+character meter_type
+logical include_gsp
+list return_octopus_meter_point
}
class get_consumption {
+character meter_type
+character direction
+character mpan_mprn
+character serial_number
+data_frame return_consumption
}
class get_meter_gsp {
+character mpan
+character return_gsp
}
class combine_consumption {
+data_frame import_data
+data_frame export_data
+data_frame result
}
get_consumption ..> get_meter_details : uses
get_meter_details ..> get_meter_gsp : optionally_calls
testing_meter ..> get_meter_gsp : optionally_calls
get_meter_gsp ..> get_meter_details : default_mpan_from
combine_consumption : +import_consumption
combine_consumption : +export_consumption
combine_consumption : logical_indexing_for_NA
Flow diagram for optimized NA handling in combine_consumptionflowchart TD
A[Start combine_consumption] --> B[Merge import_data and export_data into result]
B --> C["Set result.import_consumption <- result.consumption_import"]
C --> D["Set result.import_consumption[is.na(import_consumption)] <- 0"]
D --> E["Set result.export_consumption <- result.consumption_export"]
E --> F["Set result.export_consumption[is.na(export_consumption)] <- 0"]
F --> G[Remove result.consumption_import]
G --> H[Remove result.consumption_export]
H --> I[Return result]
File-Level Changes
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WalkthroughThe PR introduces an Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~22 minutes Possibly related PRs
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Actionable comments posted: 2
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In @.jules/bolt.md:
- Line 1: Add a top-level H1 as the very first line of .jules/bolt.md to satisfy
markdownlint MD041; for example insert a descriptive H1 (e.g., "# Changelog" or
"# 2025-01-24 - Redundant API Calls in Metadata Retrieval") above the existing
"## 2025-01-24 - Redundant API Calls in Metadata Retrieval" heading so the file
begins with an H1.
In `@R/meter_details.R`:
- Around line 120-123: The variable meter_gsp is initialized with plain NA which
results in a logical type when GSP is skipped; change initializations of
meter_gsp (and any other NA placeholders for GSP) to NA_character_ so the gsp
column stays character across branches—update the blocks using meter_gsp (the if
(include_gsp && meter_type == "electricity") { meter_gsp <- get_meter_gsp(mpan =
mpan_mprn) } pattern and the other occurrences noted around lines 131, 164-170,
178) to set meter_gsp <- NA_character_ where appropriate and ensure returned
values from get_meter_gsp remain character.
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📒 Files selected for processing (5)
.jules/bolt.mdR/get_consumption.RR/get_meter_gsp.RR/meter_details.Rman/get_meter_gsp.Rd
| @@ -0,0 +1,11 @@ | |||
| ## 2025-01-24 - Redundant API Calls in Metadata Retrieval | |||
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There was a problem hiding this comment.
Add a top-level H1 to satisfy markdownlint MD041.
The file starts with an H2, which triggers the configured lint rule for first-line heading.
Suggested fix
+# Bolt learnings
+
## 2025-01-24 - Redundant API Calls in Metadata Retrieval📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| ## 2025-01-24 - Redundant API Calls in Metadata Retrieval | |
| # Bolt learnings | |
| ## 2025-01-24 - Redundant API Calls in Metadata Retrieval |
🧰 Tools
🪛 markdownlint-cli2 (0.21.0)
[warning] 1-1: First line in a file should be a top-level heading
(MD041, first-line-heading, first-line-h1)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In @.jules/bolt.md at line 1, Add a top-level H1 as the very first line of
.jules/bolt.md to satisfy markdownlint MD041; for example insert a descriptive
H1 (e.g., "# Changelog" or "# 2025-01-24 - Redundant API Calls in Metadata
Retrieval") above the existing "## 2025-01-24 - Redundant API Calls in Metadata
Retrieval" heading so the file begins with an H1.
Comment on lines
+120
to
+123
| meter_gsp <- NA | ||
| if (include_gsp && meter_type == "electricity") { | ||
| meter_gsp <- get_meter_gsp(mpan = mpan_mprn) | ||
| } |
Contributor
There was a problem hiding this comment.
Use typed NA_character_ for gsp to keep output types stable.
Initialising meter_gsp with plain NA yields a logical type when GSP is skipped. Use NA_character_ to keep gsp consistently character-like.
Suggested fix
- meter_gsp <- NA
+ meter_gsp <- NA_character_
if (include_gsp && meter_type == "electricity") {
meter_gsp <- get_meter_gsp(mpan = mpan_mprn)
}
@@
- meter_gsp <- NA
+ meter_gsp <- NA_character_
if (include_gsp) {
meter_gsp <- if (identical(mpan, "sk_test_mpan")) {
"J"Also applies to: 131-131, 164-170, 178-178
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@R/meter_details.R` around lines 120 - 123, The variable meter_gsp is
initialized with plain NA which results in a logical type when GSP is skipped;
change initializations of meter_gsp (and any other NA placeholders for GSP) to
NA_character_ so the gsp column stays character across branches—update the
blocks using meter_gsp (the if (include_gsp && meter_type == "electricity") {
meter_gsp <- get_meter_gsp(mpan = mpan_mprn) } pattern and the other occurrences
noted around lines 131, 164-170, 178) to set meter_gsp <- NA_character_ where
appropriate and ensure returned values from get_meter_gsp remain character.
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Optimized the package by reducing redundant API calls during meter metadata retrieval and improving the efficiency of consumption data merging. Specifically, introduced an
include_gspflag toget_meter_detailsto avoid unnecessary Grid Supply Point lookups and refactoredcombine_consumptionto use logical indexing instead ofifelse()for handling missing values. Verified with benchmarking and test suites.PR created automatically by Jules for task 6059727436970537527 started by @Moohan
Summary by Sourcery
Introduce an option to skip Grid Supply Point lookups when fetching meter details and streamline NA handling in consumption merging for better performance.
New Features:
Enhancements:
Documentation:
Summary by CodeRabbit
New Features
Performance
Documentation