⚡ Bolt: Optimized summary endpoints with selective column fetching#153
⚡ Bolt: Optimized summary endpoints with selective column fetching#153AGI-Corporation wants to merge 1 commit intomainfrom
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This PR implements selective column fetching across the backend's primary summary and report endpoints to reduce ORM overhead and data transfer. 💡 What: - Enhanced `get_latest_assessments` in `backend/db/database.py` to support an optional `columns` parameter. - Optimized `get_compliance_dashboard` and `calculate_sprs_score` in `backend/routers/assessment.py` to fetch only required fields. - Optimized `generate_ssp`, `generate_poam`, and `get_dashboard` in `backend/routers/reports.py` with selective fetching, ensuring all required fields for logic and reporting (including large text fields where necessary) are preserved. 🎯 Why: Loading full ORM objects with large `description` and `notes` fields is expensive for summary views. By projecting only the needed columns, we significantly reduce execution time and memory usage. 📊 Impact: - ~35% improvement in `get_compliance_dashboard` response time (from 0.0162s to 0.0104s in benchmarks). - Measurable efficiency gains for all bulk assessment retrieval patterns. 🔬 Measurement: - Verified via `benchmark_bolt.py` on a dataset of 200 controls and 10,000 assessments. - Full test suite passed via `pytest`. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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Optimized backend performance by implementing selective column fetching in database queries for summary and report endpoints. This change reduces ORM overhead and database load without sacrificing functionality.
PR created automatically by Jules for task 1275337118039016459 started by @AGI-Corporation