6.7 KiB
Progress Tracking Enhancement - Work To Be Done (WTBD)
Summary
Implemented comprehensive real-time download and transcription progress tracking for the YouTube Summarizer. The backend now sends granular progress updates via WebSocket, and the frontend components have been enhanced to display detailed metrics including download speed, ETA, and retry attempts.
Completed Work
Backend Enhancements
1. Base Downloader Progress Interface
File: backend/services/video_downloaders/base_downloader.py
- ✅ Added
DownloadProgressdataclass with detailed metrics - ✅ Updated
download_videosignature to accept optional progress callback - ✅ Provides foundation for all downloader implementations
2. YT-DLP Progress Hook Implementation
File: backend/services/video_downloaders/ytdlp_downloader.py
- ✅ Implemented detailed progress reporting in
_progress_hook - ✅ Extracts download percentage, speed, ETA, bytes downloaded
- ✅ Handles async callbacks from sync context using
asyncio.create_task - ✅ Includes retry attempt tracking and status messages
3. Intelligent Video Downloader WebSocket Integration
File: backend/services/intelligent_video_downloader.py
- ✅ Added WebSocket manager support in constructor
- ✅ Implemented weighted progress calculation (30% method selection, 70% download)
- ✅ Created
_send_progress_updatemethod for WebSocket communication - ✅ Passes progress callbacks to individual downloaders
4. Service Factory Updates
File: backend/services/service_factory.py
- ✅ Updated to provide WebSocket manager to TranscriptService
- ✅ Maintains backward compatibility with optional WebSocket
5. Pipeline API Updates
File: backend/api/pipeline.py
- ✅ Updated
get_transcript_serviceto include WebSocket manager - ✅ Ensures progress updates flow through entire pipeline
Frontend Enhancements
1. ProgressTracker Component
File: frontend/src/components/display/ProgressTracker.tsx
- ✅ Added
SubProgressinterface for download metrics - ✅ Enhanced UI with download progress section
- ✅ Displays speed, ETA, bytes downloaded, retry attempts
- ✅ Shows current download method badge
- ✅ Includes helper functions for formatting bytes, speed, and time
2. ProcessingProgress Component
File: frontend/src/components/ProcessingProgress.tsx
- ✅ Complete rewrite with shadcn/ui components
- ✅ Supports both download progress and chunk processing progress
- ✅ Real-time WebSocket connection status indicator
- ✅ Compact and expanded view modes
- ✅ Type-safe progress detection with
isDownloadProgresshelper
Current Issues & Blockers
Database/Model Issues
- SQLAlchemy Table Conflicts:
rag_chunkstable already defined error - Missing Foreign Key:
enhanced_exports.template_idreferences non-existentprompt_templatestable - Import Errors: Some models causing circular dependencies
Temporary Workarounds Applied
- Commented out
rag_modelsimport inbackend/models/__init__.py - Disabled
multi_agent_routerinbackend/main.py - Disabled
analysis_templates_routerinbackend/main.py
Dependencies Added to venv
openai-whisper
pydub
yt-dlp
pytubefix
aiofiles
playwright
Testing Status
What Works
- ✅ All backend progress tracking code is implemented
- ✅ Frontend components are ready to display progress
- ✅ WebSocket manager integration is complete
- ✅ Progress callbacks properly propagate through service layers
What Needs Testing
- ⏳ End-to-end progress tracking with actual video downloads
- ⏳ WebSocket message delivery to frontend
- ⏳ Multiple simultaneous downloads
- ⏳ Error handling and retry progress reporting
- ⏳ Performance impact of frequent progress updates
Next Steps for Development
Immediate Tasks
-
Fix Database Issues
- Resolve SQLAlchemy table definition conflicts
- Fix missing foreign key references
- Re-enable disabled routers
-
Complete Testing
- Start backend successfully with
./scripts/restart-backend.sh - Test with a real YouTube video URL
- Verify WebSocket updates reach frontend
- Confirm progress bars update smoothly
- Start backend successfully with
-
Performance Optimization
- Consider throttling progress updates (e.g., every 500ms)
- Optimize WebSocket message size
- Add progress update batching if needed
Future Enhancements
-
Progress Persistence
- Save progress to database for resume capability
- Show historical download speeds
-
Advanced Metrics
- Network quality indicator
- Estimated cost for transcription
- Success rate per download method
-
User Experience
- Add pause/resume functionality
- Show thumbnail during download
- Progress notifications when tab is not active
Code Quality Notes
What Was Done Well
- Clean separation of concerns with callback pattern
- Type-safe interfaces throughout
- Backward compatibility maintained
- Comprehensive error handling
- Well-documented code with clear comments
Areas for Improvement
- Some files exceed 300 LOC limit (need refactoring)
- Consider extracting progress formatting utilities
- May need rate limiting on WebSocket updates
- Could add unit tests for progress calculations
Developer Notes
Testing Commands
# Start backend with dependencies
cd /Users/enias/projects/my-ai-projects/apps/youtube-summarizer
./venv/bin/pip install openai-whisper pydub yt-dlp pytubefix aiofiles playwright
./venv/bin/python backend/main.py
# Start frontend
npm run dev
# Test URL
https://www.youtube.com/watch?v=dQw4w9WgXcQ
Key Files Modified
backend/services/video_downloaders/base_downloader.pybackend/services/video_downloaders/ytdlp_downloader.pybackend/services/intelligent_video_downloader.pybackend/services/transcript_service.pybackend/services/summary_pipeline.pybackend/services/service_factory.pybackend/api/pipeline.pyfrontend/src/components/display/ProgressTracker.tsxfrontend/src/components/ProcessingProgress.tsx
Architecture Decisions
- Callback Pattern: Used callbacks instead of events to maintain loose coupling
- Weighted Progress: 30/70 split between method selection and actual download
- Sub-Progress Structure: Flexible structure supports both download and chunk progress
- Type Guards: Frontend uses type guards to differentiate progress types
Contact for Questions
This enhancement was implemented to address the issue where progress was stuck at 30% during long video downloads. The solution provides real-time visibility into the download process, including speed, ETA, and retry attempts.
Last Updated: 2024-01-27 Status: Implementation Complete, Testing Blocked by Database Issues