7.9 KiB
YouTube Summarizer - Epic Index
Epic Overview
This index provides navigation and status tracking for all epics in the YouTube Summarizer project. Each epic represents a major milestone in the product development journey from basic functionality to advanced features.
Project Vision
Create a self-hosted, hobby-scale YouTube Summarizer that transforms long-form video content into concise, actionable summaries using AI technology. Prioritize background processing, cost efficiency, and professional code quality while maintaining simplicity for hobby deployment.
Epic Status Dashboard
| Epic | Status | Progress | Stories Complete | Next Action |
|---|---|---|---|---|
| Epic 1 | 🟢 Ready for Development | 100% Stories Created (4/4) | Story 1.1 ✅ Complete, Stories 1.2-1.4 📋 Ready | Begin Story 1.2 Implementation |
| Epic 2 | ⏸️ Blocked | 0% (0/5) | None | Wait for Epic 1 |
| Epic 3 | ⏸️ Blocked | 0% (0/5) | None | Wait for Epic 2 |
Overall Project Progress: 8% (1/14 stories completed)
Epic 1: Foundation & Core YouTube Integration
🎯 Goal: Establish foundational infrastructure and core YouTube integration
📁 Epic File: epic-1-foundation-core-youtube-integration.md
🔗 Dependencies: None (foundational epic)
📊 Status: 🟢 Ready for Development - All stories created and ready for implementation
Stories in Epic 1
| Story | Title | Status | File | Dependencies |
|---|---|---|---|---|
| 1.1 | Project Setup and Infrastructure | ✅ COMPLETED | 1.1.project-setup-infrastructure.md |
None |
| 1.2 | YouTube URL Validation and Parsing | 📋 CREATED | 1.2.youtube-url-validation-parsing.md |
Story 1.1 |
| 1.3 | Transcript Extraction Service | 📋 CREATED | 1.3.transcript-extraction-service.md |
Story 1.2 |
| 1.4 | Basic Web Interface | 📋 CREATED | 1.4.basic-web-interface.md |
Story 1.3 |
Key Deliverables
- ✅ Complete development environment with Docker
- ⏳ YouTube URL processing and validation
- ⏳ Transcript extraction with fallbacks
- ⏳ Basic responsive web interface
Architecture Components
- Backend: FastAPI + Python 3.11+ with async support
- Frontend: React 18 + TypeScript + shadcn/ui
- Database: SQLite for development
- Deployment: Docker Compose self-hosted
Epic 2: AI Summarization Engine
🎯 Goal: Implement AI-powered summarization with multi-model support and caching
📁 Epic File: epic-2-ai-summarization-engine.md
🔗 Dependencies: Epic 1 (Foundation & Core YouTube Integration)
📊 Status: Blocked - Waiting for Epic 1 completion
Stories in Epic 2
| Story | Title | Status | File | Dependencies |
|---|---|---|---|---|
| 2.1 | Single AI Model Integration | ⏸️ Blocked | - | Story 1.4 |
| 2.2 | Summary Generation Pipeline | ⏸️ Blocked | - | Story 2.1 |
| 2.3 | Caching System Implementation | ⏸️ Blocked | - | Story 2.2 |
| 2.4 | Multi-Model Support | ⏸️ Blocked | - | Story 2.3 |
| 2.5 | Export Functionality | ⏸️ Blocked | - | Story 2.4 |
Key Deliverables
- AI integration with OpenAI GPT-4o-mini
- Multi-model support (OpenAI, Anthropic, DeepSeek)
- Intelligent caching system (24-hour TTL)
- Export functionality (Markdown, PDF, plain text)
- Cost optimization (~$0.001-0.005 per summary)
Architecture Components
- AI Service: Provider abstraction with fallback
- Cache Service: Memory + database caching
- Export Service: Multiple format generation
- Cost Tracking: Usage monitoring and optimization
Epic 3: Enhanced User Experience
🎯 Goal: Transform into comprehensive platform with authentication, batch processing, and API
📁 Epic File: epic-3-enhanced-user-experience.md
🔗 Dependencies: Epic 2 (AI Summarization Engine)
📊 Status: Blocked - Waiting for Epic 2 completion
Stories in Epic 3
| Story | Title | Status | File | Dependencies |
|---|---|---|---|---|
| 3.1 | User Authentication System | ⏸️ Blocked | - | Story 2.5 |
| 3.2 | Summary History Management | ⏸️ Blocked | - | Story 3.1 |
| 3.3 | Batch Processing | ⏸️ Blocked | - | Story 3.2 |
| 3.4 | Real-time Updates | ⏸️ Blocked | - | Story 3.3 |
| 3.5 | API Endpoints | ⏸️ Blocked | - | Story 3.4 |
Key Deliverables
- User registration and authentication (JWT-based)
- Persistent summary history with search
- Batch processing for multiple videos
- Real-time WebSocket progress updates
- Public API with SDK support
Architecture Components
- Auth Service: JWT authentication with refresh tokens
- User Management: Profiles and preferences
- Batch Processing: Background job queue system
- WebSocket Service: Real-time progress updates
- API Gateway: Rate limiting and key management
Development Workflow
Current Priority: Epic 1 Completion
Next Steps:
- Implement Story 1.2 (YouTube URL Validation and Parsing) ⬅️ START HERE
- Implement Story 1.3 (Transcript Extraction Service)
- Implement Story 1.4 (Basic Web Interface)
- Epic 1 Validation (Complete integration testing)
Story Creation Process
- Select Next Story: Use epic dependency chain
- Create Story File: Follow BMad Method template
- Add Technical Context: Reference architecture document
- Validate Story: Run story-draft-checklist
- Update Epic Status: Track completion progress
Commands for Story Management
# Create next story
/BMad:agents:sm
*draft
# Validate story quality
/BMad:agents:sm
*story-checklist
# Execute story implementation
/BMad:agents:dev
# (implement story based on detailed specifications)
Architecture Integration
Key Architecture Documents
- Main Architecture:
../architecture.md- Complete technical specification - Frontend Spec:
../front-end-spec.md- UI/UX requirements - Original PRD:
../prd.md- Complete product requirements
Technology Stack Overview
| Layer | Epic 1 | Epic 2 | Epic 3 |
|---|---|---|---|
| Frontend | React + TypeScript | AI Integration UI | Auth + Advanced UI |
| Backend | FastAPI + SQLite | AI Services | User Management |
| External | YouTube APIs | AI APIs | Email + Webhooks |
| Infrastructure | Docker Compose | Caching Layer | Background Jobs |
Quality Assurance
Definition of Done (Epic Level)
- All stories completed and validated
- Integration testing passing
- Documentation updated
- Performance targets met
- Security requirements satisfied
Testing Strategy by Epic
- Epic 1: Infrastructure and integration testing
- Epic 2: AI service testing and cost validation
- Epic 3: User flows and API testing
Project Metrics
Cost Optimization Targets
- Development: Self-hosted Docker deployment
- AI Processing: ~$0.10/month for hobby usage
- Storage: Local SQLite (upgradeable to PostgreSQL)
Performance Targets
- Epic 1: Development setup < 5 minutes
- Epic 2: Summary generation < 30 seconds
- Epic 3: Real-time updates < 1 second latency
Quality Standards
- Code Coverage: > 80% backend, > 70% frontend
- Type Safety: 100% TypeScript coverage
- Documentation: Complete setup and API documentation
Epic Index Last Updated: 2025-01-25
Project Owner: Bob (Scrum Master)
Architecture Reference: Winston (Architect)
Development Status: Story 1.1 completed, ready for Story 1.2 creation