- Added health check to the camera management API service in docker-compose.yml for better container reliability.
- Updated installation scripts in Dockerfile to check for existing dependencies before installation, improving efficiency.
- Enhanced error handling in the USDAVisionSystem class to allow partial operation if some components fail to start, preventing immediate shutdown.
- Improved logging throughout the application, including more detailed error messages and critical error handling in the main loop.
- Refactored WebSocketManager and CameraMonitor classes to use debug logging for connection events, reducing log noise.
- Introduced MQTTPublishRequest and MQTTPublishResponse models for handling MQTT message publishing.
- Implemented a new POST route for publishing MQTT messages, including error handling and logging.
- Enhanced the StandaloneAutoRecorder with improved logging during manual recording start.
- Updated the frontend to include an MQTT Debug Panel for better monitoring and debugging capabilities.
- Deleted unused API test files, RTSP diagnostic scripts, and development utility scripts to reduce clutter.
- Removed outdated database schema and modularization proposal documents to maintain focus on current architecture.
- Cleaned up configuration files and logging scripts that are no longer in use, enhancing project maintainability.