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38
cline_docs/activeContext.md
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cline_docs/activeContext.md
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# Active Context
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## Current Focus
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Completed investigation of cyclic dependencies in the videoarchiver module, particularly in the processor directory.
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## Active Files
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- videoarchiver/processor/core.py
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- videoarchiver/processor/message_handler.py
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- videoarchiver/processor/queue_handler.py
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- videoarchiver/processor/cleanup_manager.py
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## Recent Changes
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Analysis completed:
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- Identified and documented dependency patterns
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- Verified TYPE_CHECKING usage
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- Confirmed effective circular dependency management
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## Next Steps
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1. ✓ Analyzed imports in processor directory
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2. ✓ Mapped dependencies between components
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3. ✓ Identified circular import patterns
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4. ✓ Documented findings and recommendations
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## Conclusion
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The codebase effectively manages potential circular dependencies through:
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1. Strategic use of TYPE_CHECKING
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2. Late initialization
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3. Forward references
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4. Clear component boundaries
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No immediate refactoring needed as current implementation follows best practices.
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cline_docs/productContext.md
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cline_docs/productContext.md
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# Product Context
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## Purpose
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The videoarchiver module appears to be a Discord bot component for archiving video content, with complex processing and queue management capabilities.
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## Core Problems/Solutions
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- Managing video archival process
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- Handling message processing
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- Queue management
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- Cleanup operations
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## Key Workflows
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1. Message processing and validation
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2. Queue management and processing
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3. Video downloading and archiving
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4. Cleanup operations
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## Product Direction
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- Maintain clean architecture
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- Avoid cyclic dependencies
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- Ensure robust error handling
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110
cline_docs/systemPatterns.md
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110
cline_docs/systemPatterns.md
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# System Patterns
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## High-Level Architecture
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The videoarchiver module is organized into several key components:
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- processor: Handles core processing logic
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- queue: Manages video processing queue
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- database: Handles data persistence
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- ffmpeg: Manages video processing
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- utils: Provides utility functions
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- core: Contains core bot functionality
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- config: Manages configuration
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## Cyclic Dependencies Analysis
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### Current Dependency Chain
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1. VideoProcessor (core.py)
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- Imports MessageHandler, QueueHandler, CleanupManager under TYPE_CHECKING
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- Creates instances of these handlers in __init__
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2. MessageHandler (message_handler.py)
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- Imports ConfigManager, URLExtractor
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- No circular imports detected
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3. QueueHandler (queue_handler.py)
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- Imports utils, database, config_manager
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- No circular imports detected
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4. CleanupManager (cleanup_manager.py)
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- Imports QueueHandler under TYPE_CHECKING
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- No problematic circular dependencies
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### Mitigation Strategies Used
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1. TYPE_CHECKING conditional imports
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- Used effectively in core.py and cleanup_manager.py
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- Prevents runtime circular imports
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- Maintains type safety during development
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2. Late imports
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- Used in VideoProcessor.__init__ to avoid circular dependencies
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- Handlers are imported only when needed
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3. Forward references
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- Type hints use string literals for types that aren't yet defined
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## Core Technical Patterns
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1. Component Initialization Pattern
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- Core processor initializes handlers
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- Handlers are loosely coupled through interfaces
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- Dependencies are injected through constructor
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2. Message Processing Pipeline
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- Message validation
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- URL extraction
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- Queue management
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- Progress tracking
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3. Cleanup Management
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- Staged cleanup process
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- Multiple cleanup strategies
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- Resource tracking and monitoring
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## Data Flow
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1. Message Processing Flow
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- Message received → MessageHandler
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- Validation → URL Extraction
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- Queue addition → Processing
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2. Video Processing Flow
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- Queue item → Download
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- Processing → Archival
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- Cleanup → Completion
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## Key Technical Decisions
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1. Dependency Management
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- Use of TYPE_CHECKING for circular import prevention
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- Late initialization of components
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- Clear separation of concerns between handlers
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2. Error Handling
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- Each component has dedicated error types
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- Comprehensive error tracking
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- Graceful degradation
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3. State Management
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- Clear state transitions
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- Progress tracking
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- Health monitoring
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4. Resource Management
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- Staged cleanup process
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- Multiple cleanup strategies
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- Resource tracking
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## Recommendations
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1. Current Structure
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- The current architecture effectively manages dependencies
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- No immediate issues requiring refactoring
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2. Future Improvements
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- Consider using dependency injection container
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- Implement interface segregation for cleaner dependencies
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- Add more comprehensive health checks
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