Component-based architecture with lifecycle management
Enhanced error handling and recovery mechanisms
Comprehensive state management and tracking
Event-driven architecture with monitoring
Queue Management:
Multiple processing strategies for different scenarios
Advanced state management with recovery
Comprehensive metrics and health monitoring
Sophisticated cleanup system with multiple strategies
Processing Pipeline:
Enhanced message handling with validation
Improved URL extraction and processing
Better queue management and monitoring
Advanced cleanup mechanisms
Overall Benefits:
Better code organization and maintainability
Improved error handling and recovery
Enhanced monitoring and reporting
More robust and reliable system
Using a single lock instead of multiple locks
Properly handling task cancellation
Adding timeouts and retries
Improving error handling and recovery across all components:
Queue manager now properly handles initialization failures
Monitoring system has shorter timeouts and better activity tracking
Cleanup system has proper task tracking and error recovery
Persistence system has file locking and backup mechanisms
Removing deprecated pkg_resources usage and improving the update checker:
Using importlib.metadata for version checking
Adding proper shutdown handling
Improving error handling and retries
Added proper activity tracking in the monitoring system
Reduced timeouts and deadlock thresholds
Implemented more aggressive cleanup procedures
Added system-wide FFmpeg process cleanup
Adding proper processing state tracking and timing
Implementing more aggressive monitoring (1-minute intervals)
Adding activity tracking to detect and recover from hung states
Improving error handling and logging throughout the system
Reducing timeouts and deadlock thresholds for faster recovery
- Created new queue module with separate components:
- models.py: QueueItem and QueueMetrics data classes
- persistence.py: Queue state persistence
- monitoring.py: Health monitoring and metrics
- cleanup.py: Cleanup operations
- manager.py: Main queue management
- __init__.py: Package exports
- Updated imports in video_archiver.py and processor.py
- Removed old enhanced_queue.py
- Updated README with new queue system details
This refactoring improves code organization and maintainability
through better separation of concerns while maintaining all
existing functionality.
