- Fix inconsistent timestamp formats in logs for easier troubleshooting
- All logging systems now respect Docker TZ environment variable (e.g., TZ=America/New_York)
- Add TimezoneAwareFormatter for Python's standard logging module
- Enhance _log function with robust timezone support and fallbacks
- Replace placeholder logging functions with centralized core.logging._log
- Support both zoneinfo (Python 3.9+) and pytz (older versions)
- Users now see consistent timezone formatting across all log outputs
⚙️ New Configuration Option:
• Added TV_WEBHOOK_PROCESSING_MODE environment variable
• targeted = Only process episodes mentioned in webhook (efficient, default)
• series = Process entire series directory (comprehensive, previous behavior)
🎯 Targeted Episode Processing:
• New process_webhook_episodes() method for precise processing
• Only updates NFOs for downloaded episodes (e.g., just S41E07)
• Reduces unnecessary file operations and Emby notifications
• Falls back to series processing if no episode data in webhook
🔧 Implementation Details:
• Modified Sonarr webhook handler to pass episode data
• Enhanced batch processor with mode detection
• Maintains backward compatibility with existing behavior
• Added comprehensive logging for processing mode selection
✨ Benefits:
• Efficient: 1 download = 1 episode processed (not entire series)
• Configurable: Users can choose preferred behavior via .env
• Compatible: Works with existing autoscan/Emby refresh systems
• Smart: Falls back gracefully when episode data unavailable
✨ Features Added:
• Single season/episode processing capability via new endpoints
• Enhanced NFO generation with full Sonarr API metadata (titles, plots, ratings)
• NFOGuard timestamp tracking in all NFO source comments
• URL-safe /tv/scan-season and /tv/scan-episode endpoints
🔧 Technical Improvements:
• Fixed URL encoding issues for paths with spaces and special characters
• Enhanced TVProcessor with process_season() and process_episode_file() methods
• Rich metadata extraction from Sonarr API (episode titles, plots, runtime, ratings)
• XML escaping for special characters in metadata
• Comprehensive episode parsing (SxxExx and numeric formats)
📚 Documentation:
• Updated README with new TV processing endpoints
• Added enhanced NFO generation examples showing before/after
• Documented URL-safe alternatives to manual scan paths
🎯 User Benefits:
• Can now process single seasons: Chicago Fire Season 13
• Can now process single episodes: S13E21 files
• Enhanced NFO files with full episode metadata for better Emby/Plex experience
• Timestamps show when NFOGuard processed each file
- TMDB now accepts ANY release type (1-6+) for maximum coverage
- Added Radarr NFO <premiered> date extraction as additional fallback
- For rename-first movies: Import → Any TMDB → Radarr NFO → File dates
- Much more aggressive about using ANY reasonable date over bad file dates
- Covers edge cases where TMDB has unusual release types
Version bumped to 0.2.20
- Enhanced _get_digital_release_date with comprehensive logging
- Added external clients configuration check in debug endpoint
- Will show if TMDB API key is configured and external clients initialized
- Added error handling for external client calls
- Corrected debug endpoint to use global movie_processor variable
- Was incorrectly trying to access batcher.movie_processor (doesn't exist)
- Now properly tests full TMDB fallback pipeline for rename-first movies
- Add authentication to git clone commands in CI workflows for private repo support
- Enhanced debug endpoint to test FULL movie processing pipeline (not just database)
- Debug now shows both database result AND final TMDB fallback decision
- Will reveal if TMDB API calls are working correctly for rename-first scenarios
- Fix duplicate Dockerfile sections that were causing build hangs
- Replace complex build args with simple runtime git branch detection
- Revert CI workflows to working state (remove build args and debug code)
- Add automatic version tagging: dev branch shows "0.2.15-dev"
- Enhanced movie fallback logic for rename-first scenarios
- Improved logging to trace movie date decision process
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