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Author SHA1 Message Date
enias 9e63f5772d feat: Implement Phase 4 WebSocket Infrastructure and Real-Time Processing 
MAJOR FEATURES:
- ✅ Task 14: Real-Time Processing & WebSocket Integration
  - WebSocket endpoints for live video processing updates
  - Real-time transcript streaming during processing
  - Browser notifications for job completion/errors
  - Progress tracking with WebSocket manager enhancements

WEBSOCKET INFRASTRUCTURE:
- backend/api/websocket_processing.py: 3 WebSocket endpoints
  - /ws/process/{job_id}: Job-specific processing updates
  - /ws/system: System-wide notifications
  - /ws/notifications: Browser notification delivery
- backend/services/transcript_streaming_service.py: Real-time transcript chunks
- backend/services/browser_notification_service.py: Notification system
- Enhanced backend/core/websocket_manager.py: Transcript streaming support

TASK MASTER INTEGRATION:
- .taskmaster/docs/phase4_prd.txt: Comprehensive Phase 4 PRD
- .taskmaster/config.json: Updated with free Claude Code + Gemini CLI models
- Task Master configured for Tasks 14-20 generation

EPIC 4 ADVANCED FEATURES:
- Enhanced export system with 6 domain-specific templates
- Multi-agent analysis with perspective-based summaries
- RAG-powered video chat with ChromaDB integration
- Executive summary generation with ROI analysis
- Professional document formatting with timestamped navigation

DATABASE ENHANCEMENTS:
- Epic 4 migration: 21 tables with advanced features
- Multi-agent tables: agent_summaries, prompt_templates
- Enhanced export: export_metadata, summary_sections
- RAG chat: chat_sessions, chat_messages, video_chunks
- Analytics: playlist_analysis, rag_analytics

PERFORMANCE IMPROVEMENTS:
- Faster-whisper integration: 20-32x speed improvement
- Large-v3-turbo model with intelligent optimizations
- Voice Activity Detection and int8 quantization
- Audio retention system for re-transcription

API EXPANSIONS:
- Enhanced export endpoints with domain intelligence
- Chat API for RAG-powered video conversations
- History API for job tracking and management
- Multi-agent orchestration endpoints

DEVELOPMENT INFRASTRUCTURE:
- Backend CLI with interactive mode
- Comprehensive test coverage expansion
- Documentation updates across all files
- Server restart scripts for development workflow

🚀 Production-ready WebSocket infrastructure for real-time user experience
📊 Advanced AI features with multi-model support and domain intelligence
⚡ Massive performance gains with faster-whisper transcription engine

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-08-27 20:38:11 -04:00
enias 053e8fc63b feat: Enhanced Epic 4 with Multi-Agent System and RAG Chat 
### Updated Epic 4 Documentation
- Enhanced Story 4.3: Multi-video Analysis with Multi-Agent System
  - Three perspective agents (Technical, Business, User)
  - Synthesis agent for unified summaries
  - Integration with existing AI ecosystem
  - Increased effort from 28 to 40 hours

- Enhanced Story 4.4: Custom Models & Enhanced Markdown Export
  - Executive summary generation (2-3 paragraphs)
  - Timestamped sections with [HH:MM:SS] format
  - Enhanced markdown structure with table of contents
  - Increased effort from 24 to 32 hours

- Enhanced Story 4.6: RAG-Powered Video Chat with ChromaDB
  - ChromaDB vector database integration
  - RAG implementation using existing test patterns
  - Chat interface with timestamp source references
  - DeepSeek integration for AI responses

### Epic Effort Updates
- Total Epic 4 effort: 126 → 146 hours
- Remaining work: 72 → 92 hours
- Implementation timeline extended to 4-5 weeks

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-08-27 04:22:46 -04:00
enias 370a865d00 feat: Implement Story 1.2 - YouTube URL Validation and Parsing 
Complete implementation of YouTube URL validation with full-stack support:

Backend:
- VideoService with comprehensive URL validation for all YouTube formats
- Support for standard, short, embed, and mobile URLs
- Playlist URL detection with helpful error messages
- FastAPI endpoint with Pydantic models and error handling
- Custom exception hierarchy for validation errors
- 14 unit tests and 11 integration tests

Frontend:
- React hooks with debounced validation
- Real-time validation UI components with visual feedback
- TypeScript types for validation states
- API client for backend communication
- Comprehensive test coverage for hooks and components

Documentation:
- Complete BMad Method story files for Epic 1 & 2
- Architecture documentation
- Developer handoff guide and sprint planning
- 9 fully documented stories ready for implementation

All acceptance criteria met:
✅ Correctly parses video IDs from all URL formats
✅ Invalid URLs return clear error messages
✅ Video IDs validated for exactly 11 characters
✅ Playlist URLs detected with helpful messages
✅ Client-side and server-side validation implemented

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-08-25 00:45:24 -04:00
enias 1aa76ee0d5 docs: Add comprehensive CLAUDE.md and AGENTS.md documentation 
- Created CLAUDE.md with project-specific guidance for Claude Code
- Added detailed implementation patterns and code examples
- Included Task Master workflow integration
- Created AGENTS.md with development standards and workflows
- Added testing requirements, API design patterns, and security protocols
- Provided comprehensive guidelines for TDD, performance, and deployment
 2025-08-24 22:26:54 -04:00