⚡ Bolt: Consolidate aggregate queries in field officer stats#781
⚡ Bolt: Consolidate aggregate queries in field officer stats#781RohanExploit wants to merge 1 commit into
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Pull request overview
This PR optimizes the /field-officer/visit-stats endpoint by consolidating multiple visit statistics calculations into a single SQLAlchemy aggregate query to reduce database round-trips and Python-side aggregation overhead.
Changes:
- Replaced a group-by + Python loop approach with a single aggregate query using
func.sum(case(...))for categorical counts. - Simplified result extraction and rounding/casting for the visit statistics response.
- Added a Bolt note documenting the “single aggregate query for multi-metric counts” optimization pattern.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| backend/routers/field_officer.py | Consolidates multiple visit-stat queries into one aggregate query and simplifies response assembly. |
| .jules/bolt.md | Documents the aggregate-query optimization pattern as a Bolt learning/action entry. |
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| func.avg(FieldOfficerVisit.distance_from_site).label('avg_distance'), | ||
| func.sum(case((FieldOfficerVisit.verified_at.isnot(None), 1), else_=0)).label('verified_visits'), | ||
| func.sum(case((FieldOfficerVisit.within_geofence == True, 1), else_=0)).label('within_geofence'), | ||
| func.sum(case((FieldOfficerVisit.within_geofence == False, 1), else_=0)).label('outside_geofence') |
| # Optimized: Consolidating multiple database aggregate queries into a single query using func.sum(case(...)) | ||
| res = db.query( | ||
| func.count(FieldOfficerVisit.id).label('total_visits'), | ||
| func.count(func.distinct(FieldOfficerVisit.officer_email)).label('unique_officers'), | ||
| func.avg(FieldOfficerVisit.distance_from_site).label('avg_distance') | ||
| func.avg(FieldOfficerVisit.distance_from_site).label('avg_distance'), |
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![cubic-dev-ai[bot]](https://avatars.githubusercontent.com/in/1082092?s=60&v=4){kind=small}
💡 What: Replaced two database queries (one aggregate, one group_by) with a single, unified database query using
func.sum(case(...))inbackend/routers/field_officer.pyget_visit_statisticsendpoint.🎯 Why: To improve performance by eliminating an extra database round-trip and consolidating aggregation work to the database layer rather than a Python loop.
📊 Impact: Reduces database overhead for retrieving field officer statistics. Benchmark tests show this approach is measurably more efficient when evaluating multiple distinct categorical constraints simultaneously alongside other aggregates.
🔬 Measurement: Verify functionality and performance by querying the
/field-officer/visit-statsAPI endpoint, or run tests withPYTHONPATH=.:backend python3 -m pytest backend/tests/test_field_officer.py.PR created automatically by Jules for task 13272763334200224057 started by @RohanExploit
Summary by cubic
Consolidated field officer stats into a single SQLAlchemy aggregate query in
get_visit_statisticsto cut DB round-trips and speed up/field-officer/visit-stats.func.sum(case(...))for verified, within/outside geofence, total visits, unique officers, and average distance.Written for commit cccc6cb. Summary will update on new commits. Review in cubic