Updated base.py to use absolute imports
Updated cleanup.py to use absolute imports
Updated events.py to use absolute imports
Updated error_handler.py to use absolute imports
Updated guild.py to use absolute imports
Updated initialization.py to use absolute imports
Updated lifecycle.py to use absolute imports
Updated response_handler.py to use absolute imports
Updated settings.py to use absolute imports
In the core/commands module:
Updated archiver_commands.py to use absolute imports
Updated database_commands.py to use absolute imports
Updated settings_commands.py to use absolute imports
Left init.py unchanged as its relative imports are appropriate
In the processor module:
Updated core.py to use absolute imports
Updated processor/init.py to use absolute imports
Updated queue_handler.py to use absolute imports
Updated queue_processor.py to use absolute imports
Updated status_display.py to use absolute imports
Updated cleanup_manager.py to use absolute imports
Database components with proper schema management
FFmpeg components with process management
Queue system with state management
Processor components with proper handlers
Utility components with shared instances
Configuration components with validation
Initialization sequence is now properly ordered:
Config Manager initialization
Path setup
Database initialization
FFmpeg setup
Queue Manager initialization
Video Processor setup
Guild Components initialization
Update Checker startup
Queue Processing start
Proper cleanup handling is in place:
Component cleanup in reverse order
Resource cleanup with timeouts
Force cleanup for hung processes
System-wide FFmpeg process cleanup
Health monitoring is implemented for all components:
Database connection monitoring
Queue health checks
Processor status tracking
Component state validation
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
Improved the interaction response handling system to better manage both deferred and non-deferred responses
Enhanced error handling around interaction responses
Added proper fallback mechanisms for response handling
Fixed redbot import issues by importing specific exception classes
Ensured database setting is properly synchronized between base.py and config_manager.py
Added proper database initialization and reference handling
New database functionality and commands
Additional video format support (MKV)
Message duration now in hours (0-168)
Enhanced error handling and logging
Queue persistence and management improvements
Hardware acceleration updates
More detailed command descriptions
Improved performance & limitations documentation
Added missing asyncio import in events.py
Ensured all long-running operations are handled in background tasks
Fixed task initialization and management in base.py
Added proper activity tracking in the monitoring system
Reduced timeouts and deadlock thresholds
Implemented more aggressive cleanup procedures
Added system-wide FFmpeg process cleanup
Sequential component initialization
Coordination through an _initialized event
Consistent lock hierarchy with _global_lock
Updated the base cog to properly initialize components:
Added timeout handling for queue manager initialization
Ensures queue manager is fully initialized before starting queue processing
Added proper error handling and cleanup
Established consistent lock ordering:
Global Lock -> Queue Lock -> Processing Lock
Prevents circular wait conditions
Each component respects the lock hierarchy
Improved task coordination:
Sequential initialization of components
Proper waiting for initialization before starting operations
Timeout handling for all async operations
Modified the initialization process to start queue processing as a non-blocking background task
Added proper cleanup of the queue task during cog unload
Optimized the queue manager's process_queue method to:
Use shorter sleep times (0.1s) when queue is empty
Persist state less frequently (every 60s)
Better handle task switching with asyncio.sleep(0)
Improve error recovery with brief pauses
These changes resolve both the initial "process_video missing" error and the subsequent "initialization timeout" error by:
Properly implementing the missing method
Making queue processing non-blocking during initialization
Ensuring proper cleanup of all tasks
Optimizing the queue processing loop for better performance
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
Improved the cog unload process by:
Reducing cleanup timeouts (UNLOAD_TIMEOUT to 5s, CLEANUP_TIMEOUT to 3s)
Adding immediate task cancellation
Implementing aggressive cleanup with force_cleanup_resources
Clearing all references in the finally block
Fixed code indentation issues
Moved all command definitions directly into the VideoArchiver class
Updated command decorators to use proper hybrid_group and hybrid_command syntax
Properly set up command error handling within the class
Removed external command setup in favor of class-based commands
Maintained backward compatibility through a stub commands.py file
Verified consistency with config_manager.py which already had 8MB as default
Confirmed proper validation in config_manager.py (allows 1-100MB range)
Verified all other files reference the max_file_size setting correctly
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.
