⚡ Bolt: optimize API calls and vector operations#192
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- Replace scalar `ifelse` with `if/else` in `get_meter_details` to avoid redundant API calls. - Add `include_gsp` parameter to `get_meter_details` to skip GSP lookup in `get_consumption`. - Replace `ifelse` with logical indexing in `combine_consumption` for ~3-4x speedup in NA replacement. Co-authored-by: Moohan <5982260+Moohan@users.noreply.github.com>
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Reviewer's GuideOptimizes meter-related helpers and consumption aggregation to avoid redundant GSP API calls and to speed up NA handling in consumption vectors, primarily by adding an include_gsp flag to get_meter_details and replacing ifelse() calls with short-circuiting conditionals and logical indexing. Sequence diagram for meter details and GSP lookup with include_gsp flagsequenceDiagram
actor Developer
participant get_consumption
participant get_meter_details
participant get_meter_gsp
participant octopus_api
Developer->>get_consumption: call(meter_type, direction, mpan_mprn=NULL, serial_number=NULL)
get_consumption->>get_meter_details: meter_type, direction, include_gsp=false
alt meter_type_is_electricity_and_include_gsp_true
get_meter_details->>get_meter_gsp: mpan_mprn
get_meter_gsp->>octopus_api: fetch_GSP_for_mpan
octopus_api-->>get_meter_gsp: GSP
get_meter_gsp-->>get_meter_details: GSP
get_meter_details-->>get_consumption: meter_details_with_gsp
else include_gsp_false_or_meter_type_gas
get_meter_details-->>get_consumption: meter_details_with_gsp_set_to_NA
end
Developer->>get_meter_gsp: call(mpan_missing)
get_meter_gsp->>get_meter_details: meter_type=electricity, direction=NULL, include_gsp=false
get_meter_details-->>get_meter_gsp: meter_details_with_mpan_and_gsp_NA
get_meter_gsp->>octopus_api: fetch_GSP_for_mpan
octopus_api-->>get_meter_gsp: GSP
get_meter_gsp-->>Developer: GSP
Flow diagram for NA replacement in combine_consumptionflowchart TD
A[Start combine_consumption] --> B[Set import_consumption from consumption_import]
B --> C[Set export_consumption from consumption_export]
C --> D[Identify NA elements in import_consumption]
D --> E[Set NA positions in import_consumption to 0]
E --> F[Identify NA elements in export_consumption]
F --> G[Set NA positions in export_consumption to 0]
G --> H[Remove consumption_import and consumption_export columns]
H --> I[Return updated result]
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Hey - I've left some high level feedback:
- In
get_meter_details, thegspfield for gas meters changes from a logicalNAtoNA_character_; double-check downstream consumers don’t rely on the previous type (e.g.is.logical(gsp)or strict type checks) and, if needed, coerce consistently for both electricity and gas. - The new
include_gspargument is silently ignored for gas meters; consider documenting this behavior explicitly in the function comments or asserting that it only applies whenmeter_type == "electricity"to avoid confusion for callers.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- In `get_meter_details`, the `gsp` field for gas meters changes from a logical `NA` to `NA_character_`; double-check downstream consumers don’t rely on the previous type (e.g. `is.logical(gsp)` or strict type checks) and, if needed, coerce consistently for both electricity and gas.
- The new `include_gsp` argument is silently ignored for gas meters; consider documenting this behavior explicitly in the function comments or asserting that it only applies when `meter_type == "electricity"` to avoid confusion for callers.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
There was a problem hiding this comment.
Actionable comments posted: 3
🤖 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: Change the top-level heading in .jules/bolt.md from a level-2 to a
level-1 heading by replacing the leading "##" with "#" on the first line (the
line containing "2025-05-15 - Vectorized ifelse() vs Logical Indexing for NAs")
so the file starts with a proper top-level heading.
In `@R/get_consumption.R`:
- Line 78: The call to get_meter_details is exceeding the 80-character line
limit; update the invocation in get_consumption (the meter_details assignment)
to wrap arguments across multiple lines so each argument (meter_type, direction,
include_gsp = FALSE) sits on its own indented line within the parentheses,
keeping the opening and closing parentheses aligned and staying under 80
characters per line.
In `@R/meter_details.R`:
- Around line 88-92: The is_testing() branch ignores the new include_gsp
parameter by returning testing_meter(meter_type) unconditionally; update the
is_testing() path to honor include_gsp (either call testing_meter with
include_gsp if that helper accepts it, e.g., testing_meter(meter_type,
include_gsp), or apply the same include_gsp filtering after testing_meter()
returns) so behavior matches the non-testing branch; touch the function
containing meter_type/direction/include_gsp and the is_testing()/testing_meter
call sites to ensure include_gsp is applied consistently.
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Configuration used: Repository UI
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Plan: Pro
Run ID: 7453cdfe-2686-4a12-b65d-d8b273397ef0
📒 Files selected for processing (6)
.Rbuildignore.jules/bolt.mdR/get_consumption.RR/get_meter_gsp.RR/meter_details.Rman/get_meter_gsp.Rd
| @@ -0,0 +1,5 @@ | |||
| ## 2025-05-15 - Vectorized ifelse() vs Logical Indexing for NAs | |||
There was a problem hiding this comment.
Use a top-level heading on the first line.
Markdown lint warns because the file starts with ## instead of #.
Suggested fix
-## 2025-05-15 - Vectorized ifelse() vs Logical Indexing for NAs
+# 2025-05-15 - Vectorized ifelse() vs Logical Indexing for NAs📝 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.
| ## 2025-05-15 - Vectorized ifelse() vs Logical Indexing for NAs | |
| # 2025-05-15 - Vectorized ifelse() vs Logical Indexing for NAs |
🧰 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, Change the top-level heading in .jules/bolt.md
from a level-2 to a level-1 heading by replacing the leading "##" with "#" on
the first line (the line containing "2025-05-15 - Vectorized ifelse() vs Logical
Indexing for NAs") so the file starts with a proper top-level heading.
| function( | ||
| meter_type = c("electricity", "gas"), | ||
| direction = NULL, | ||
| include_gsp = TRUE | ||
| ) { |
There was a problem hiding this comment.
include_gsp is not applied in the testing branch.
The new parameter is introduced in the signature, but when is_testing() is true the function returns testing_meter(meter_type) directly, so include_gsp = FALSE is ignored. That creates inconsistent behaviour across environments.
Suggested fix
if (is_testing()) {
- testing_meter(meter_type)
+ meter <- testing_meter(meter_type)
+ if (meter_type == "electricity" && isFALSE(include_gsp)) {
+ meter$gsp <- NA_character_
+ }
+ meter
} else {🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@R/meter_details.R` around lines 88 - 92, The is_testing() branch ignores the
new include_gsp parameter by returning testing_meter(meter_type)
unconditionally; update the is_testing() path to honor include_gsp (either call
testing_meter with include_gsp if that helper accepts it, e.g.,
testing_meter(meter_type, include_gsp), or apply the same include_gsp filtering
after testing_meter() returns) so behavior matches the non-testing branch; touch
the function containing meter_type/direction/include_gsp and the
is_testing()/testing_meter call sites to ensure include_gsp is applied
consistently.
- Replace scalar `ifelse` with `if/else` in `get_meter_details` to avoid redundant API calls. - Add `include_gsp` parameter to `get_meter_details` to skip GSP lookup in `get_consumption`. - Replace `ifelse` with logical indexing in `combine_consumption` for ~3-4x speedup in NA replacement. - Fix linting error by breaking long line in `R/get_consumption.R`. Co-authored-by: Moohan <5982260+Moohan@users.noreply.github.com>
💡 What:
ifelse()with standardif/elseinget_meter_detailsto prevent redundantget_meter_gsp()calls for gas meters.include_gspparameter toget_meter_detailsto skip GSP lookups inget_consumptionandget_meter_gsp.ifelse()with logical indexing (x[is.na(x)] <- 0) incombine_consumptionfor efficient NA handling.🎯 Why:
ifelse()evaluates both branches, causing unnecessary API calls even for scalar logic where the condition is always FALSE for certain meter types.ifelse()for large vectors, which is common in consumption data.📊 Impact:
get_meter_details('gas')now makes 0 API calls (down from 1).combine_consumptionNA replacement is ~3-4x faster and uses ~70% less memory for 100k rows.🔬 Measurement:
octopus_api.ifelsevs logical indexing usingbench::mark():ifelse: 3.6ms median, 10.68MB mem_alloclogical_indexing: 1.16ms median, 3.13MB mem_alloc (on 100k elements)PR created automatically by Jules for task 7840956573680910429 started by @Moohan
Summary by Sourcery
Optimize meter detail retrieval and consumption combination to reduce redundant API calls and improve vector performance.
Bug Fixes:
Enhancements:
Documentation:
Summary by CodeRabbit
New Features
Performance Improvements
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