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
Adding a shared progress_tracker instance in processor/init.py
Exposing public functions that wrap the ProgressTracker methods
Removing direct access to private _download_progress variable
Fixed the "'QueueItem' object has no attribute 'retry_count'" error by:
Updating the QueueItem class in queue/models.py to use retry_count instead of retries
This matches the field name used in the queue manager's implementation
