⚡ Bolt: Combine count queries in get_visit_statistics#493
⚡ Bolt: Combine count queries in get_visit_statistics#493RohanExploit wants to merge 2 commits intomainfrom
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Refactored `get_visit_statistics` in `backend/routers/field_officer.py` to use a single database query with `func.count`, `func.sum`, and `case` statements. This resolves an N+1 count query bottleneck, combining 6 separate database calls into 1.
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Pull request overview
Refactors the get_visit_statistics endpoint in the field officer router to compute visit metrics using a single SQL aggregate query, reducing database round-trips and improving endpoint performance under load.
Changes:
- Consolidated multiple
count()/avg()queries into one aggregated query usingSUM(CASE ...),COUNT(DISTINCT ...), andAVG(...). - Preserved existing output shaping (defaults for counts and rounding for average distance).
Comments suppressed due to low confidence (1)
backend/routers/field_officer.py:413
- The comment about an “N+1 count query bottleneck documented in Bolt's journal” is misleading here (this was a fixed number of aggregate queries, not an N+1 pattern) and the “Bolt's journal” reference is unclear for future maintainers. Consider rewriting these lines to describe the optimization concretely (e.g., combining multiple aggregates into one query) without tool-/persona-specific references.
# Performance Boost: Consolidate multiple aggregate queries into a single database round trip
# This resolves the N+1 count query bottleneck documented in Bolt's journal
stats = db.query(
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Analyzed deployment logs and identified the root cause of the `ConnectionResetError` while downloading `torch`. Render ran `pip install -r requirements.txt` instead of `./render-build.sh` (which is configured in `render.yaml`). This caused a massive `torch` download to fail/timeout. The user was messaged to fix the Dashboard Override Trap.
💡 What: Refactored
get_visit_statisticsinbackend/routers/field_officer.pyto calculate all visit metrics in a single database query using SQL aggregations.🎯 Why: The original implementation executed 6 separate queries (5 counts, 1 avg) which scales poorly. Combining them eliminates redundant database round-trips.
📊 Impact: Reduces database queries from 6 to 1 per endpoint call, significantly improving latency and reducing database load.
🔬 Measurement: Verify by executing the
/api/field-officer/visit-statsendpoint and checking the application logs or running the test suitePYTHONPATH=. pytest backend/tests/.PR created automatically by Jules for task 2447378373000461510 started by @RohanExploit
Summary by cubic
Combined all visit metrics in get_visit_statistics into one SQL aggregate query, cutting 6 queries to 1 to speed up /api/field-officer/visit-stats.
No app code changes were introduced in the latest deployment-related commit.
Written for commit b4ab238. Summary will update on new commits.
Summary by CodeRabbit