Method delegates to queue_handler.process_video
Maintains proper separation of concerns between components
Preserves the existing video processing logic
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
base.py: Main cog class and initialization logic
cleanup.py: Resource cleanup functionality
commands.py: Command handlers
events.py: Event listeners
guild.py: Guild component management
init.py: Module exports
Improved code organization by:
Separating concerns into focused modules
Maintaining clear dependencies between modules
Keeping related functionality together
Making the codebase more maintainable
Preserved all existing functionality while making the code more modular and easier to maintain.
Properly storing and handling the db instance
Ensuring the db is passed to the queue_handler when available
The QueueHandler class was already properly set up to handle the db parameter, so no changes were needed there. The database integration should now work correctly for:
Checking if videos are already archived
Adding newly archived videos to the database
Providing archived video information to users
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
Core processing logic in VideoProcessor class
Dedicated message handling in MessageHandler
Queue operations in QueueHandler
Progress tracking in ProgressTracker
Reaction management in reactions.py
Improved Maintainability:
Each component has a single responsibility
Easier to test individual components
Better code organization and readability
Reduced file sizes for better version control
Better Resource Management:
Centralized progress tracking
Isolated queue operations
Cleaner cleanup processes
Optimized Imports:
Components can be imported individually as needed
Main processor.py provides backward compatibility
Clear module interface through init.py
