- Added DBUtils PooledDB for intelligent connection pooling
- Created db_pool.py with lazy-initialized connection pool (max 20 connections)
- Added db_connection_context() context manager for safe connection handling
- Refactored all 19 database operations to use context manager pattern
- Ensures proper connection cleanup and exception handling
- Prevents connection exhaustion on POST requests
- Added logging configuration for debugging
Changes:
- py_app/app/db_pool.py: New connection pool manager
- py_app/app/logging_config.py: Centralized logging
- py_app/app/__init__.py: Updated to use connection pool
- py_app/app/routes.py: Refactored all DB operations to use context manager
- py_app/app/settings.py: Updated settings handlers
- py_app/requirements.txt: Added DBUtils dependency
This solves the connection timeout issues experienced with the fgscan page.
✨ New Features:
- Added view_orders route with proper table display
- Implemented CSV upload with preview workflow and date parsing
- Added production WSGI server configuration with Gunicorn
- Created comprehensive production management scripts
🔧 Bug Fixes:
- Fixed upload_data route column mapping for actual CSV structure
- Resolved print module database queries and template rendering
- Fixed view orders navigation routing (was pointing to JSON API)
- Corrected barcode display width constraints in print module
- Added proper date format parsing for MySQL compatibility
🎨 UI/UX Improvements:
- Updated view_orders template with theme-compliant styling
- Hidden barcode text in print module preview for cleaner display
- Enhanced CSV upload with two-step preview-then-save workflow
- Improved error handling and debugging throughout upload process
🚀 Production Infrastructure:
- Added Gunicorn WSGI server with proper configuration
- Created systemd service for production deployment
- Implemented production management scripts (start/stop/status)
- Added comprehensive logging setup
- Updated requirements.txt with production dependencies
📊 Database & Data:
- Enhanced order_for_labels table compatibility
- Fixed column mappings for real CSV data structure
- Added proper date parsing and validation
- Improved error handling with detailed debugging
🔧 Technical Debt:
- Reorganized database setup documentation
- Added proper error handling throughout upload workflow
- Enhanced debugging capabilities for troubleshooting
- Improved code organization and documentation
