Database Optimization: Successfully loaded 4.4M+ OpenFoodFacts records and utilized advanced vertical partitioning and FULLTEXT indices.
Clinical Subquery Strategy: Refactored the core Pandas/SQL query pipeline to use subquery limiting, resolving Cartesian join explosions and reducing query latency to ~0.04s.
Monitoring & Security: Nginx securely proxies traffic on Port 80. Zabbix actively monitors the proxy and server health, dynamically reporting alerts to Microsoft Teams.
Git Versioning: Implemented Git .gitattributes to push $Id$ tracking directly into the Python Application UI.
What Needs To Be Done (Day 2 Operations)
SSL/TLS Certificates: The Nginx proxy is functional on HTTP port 80. Port 443 (HTTPS) must be configured with a Let's Encrypt certificate for true production encryption.
User Acceptance Testing (UAT): Clinical dietitians should rigorously test the AI Chat constraints and Plate Builder to ensure edge cases are handled safely.
Advanced Rate Limiting: Limit the number of AI requests per user using a sliding window algorithm in app.py.
What Is The Next Step
Execute the data_sync.sh cron job monthly.
Maintain the automated backup_db.sh 7-day retention cycle.
Begin the hand-off to the operational team for Phase 2 feature requests.
