10 KiB
10 KiB
Developer Handoff Package - YouTube Summarizer
🚀 Quick Start for Developers
This document provides everything needed to begin implementing the YouTube Summarizer stories. All stories have been created following the BMad Method with comprehensive technical specifications.
📋 Implementation Priority Order
Sprint 1: Foundation (Epic 1 - Stories 1.2-1.5)
Duration: 2.5 weeks
Goal: Complete core YouTube integration, basic UI, and video download capability
| Priority | Story | Estimated Hours | Dependencies | Status |
|---|---|---|---|---|
| 1 | Story 1.2: URL Validation | 8-12 hours | Story 1.1 ✅ | ✅ DONE |
| 2 | Story 1.3: Transcript Extraction | 16-20 hours | Story 1.2 ✅ | ✅ DONE |
| 3 | Story 1.4: Basic Web Interface | 16-24 hours | Story 1.3 ✅ | ✅ DONE |
| 4 | Story 1.5: Video Download Service | 12-16 hours | Stories 1.1, 1.2 | 📋 READY |
Sprint 2: AI Intelligence (Epic 2 - Stories 2.1-2.3)
Duration: 2 weeks
Goal: Implement AI summarization with caching
| Priority | Story | Estimated Hours | Dependencies | Ready |
|---|---|---|---|---|
| 4 | Story 2.1: Single AI Model | 12-16 hours | Epic 1 Complete | ✅ YES |
| 5 | Story 2.2: Summary Pipeline | 16-20 hours | Story 2.1 | ✅ YES |
| 6 | Story 2.3: Caching System | 12-16 hours | Story 2.2 | ✅ YES |
Sprint 3: Advanced Features (Epic 2 - Stories 2.4-2.5)
Duration: 1.5 weeks
Goal: Multi-model support and export capabilities
| Priority | Story | Estimated Hours | Dependencies | Ready |
|---|---|---|---|---|
| 7 | Story 2.4: Multi-Model Support | 16-20 hours | Story 2.3 | ✅ YES |
| 8 | Story 2.5: Export Functionality | 12-16 hours | Story 2.4 | ✅ YES |
🛠️ Development Environment Setup
Prerequisites Checklist
- Docker & Docker Compose installed
- Node.js 18+ and npm/yarn
- Python 3.11+
- Git configured
- VS Code or preferred IDE
Quick Setup Commands
# Clone repository (if not already done)
git clone [repository-url]
cd apps/youtube-summarizer
# Backend setup
cd backend
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env
# Edit .env with your API keys
# Frontend setup
cd ../frontend
npm install
cp .env.example .env.local
# Start development environment
docker-compose up -d # Starts Redis, PostgreSQL
cd backend && uvicorn main:app --reload # Backend on :8000
cd frontend && npm run dev # Frontend on :3000
Required API Keys
# .env file (backend)
OPENAI_API_KEY=sk-... # Required for Story 2.1
ANTHROPIC_API_KEY=sk-ant-... # Optional for Story 2.4
DEEPSEEK_API_KEY=... # Optional for Story 2.4
REDIS_URL=redis://localhost:6379/0
DATABASE_URL=sqlite:///./youtube_summarizer.db
📚 Story Implementation Guide
Each Story Contains
- Story Section: User story and acceptance criteria
- Tasks/Subtasks: Detailed breakdown of implementation steps
- Dev Notes:
- Architecture context and references
- Complete code examples and patterns
- File locations and structure
- Testing requirements
- Error handling patterns
How to Implement a Story
- Read the Full Story: Start with the story file in
docs/stories/ - Review Architecture: Check references to
docs/architecture.md - Follow Task Order: Complete tasks sequentially as they build on each other
- Use Code Examples: Copy and adapt the provided code snippets
- Write Tests: Follow the testing patterns in each story
- Update Story Status: Mark tasks complete as you finish them
Story Status Tracking
Update the status in each story file as you progress:
## Status
Draft → In Progress → Review → Done
## Tasks / Subtasks
- [x] **Task 1: Completed task**
- [ ] **Task 2: Pending task**
🏗️ Architecture Quick Reference
Technology Stack
| Component | Technology | Location |
|---|---|---|
| Backend API | FastAPI + Python 3.11+ | /backend |
| Frontend | React 18 + TypeScript + shadcn/ui | /frontend |
| Database | SQLite → PostgreSQL | /data |
| Cache | Redis | Docker container |
| Queue | Background Tasks (FastAPI) | In-process |
Key Design Patterns
Service Layer Pattern
# backend/services/video_service.py
class VideoService:
def __init__(self, dependencies...):
# Initialize with dependency injection
async def extract_video_id(self, url: str) -> str:
# Business logic here
Repository Pattern
# backend/repositories/summary_repository.py
class SummaryRepository:
async def save(self, summary: Summary) -> str:
# Database operations
API Endpoint Pattern
# backend/api/endpoints.py
@router.post("/process")
async def process_video(
request: ProcessRequest,
service: VideoService = Depends()
):
# Endpoint logic
🧪 Testing Requirements
Test Coverage Targets
- Backend: > 80% coverage
- Frontend: > 70% coverage
- Integration tests for all API endpoints
Running Tests
# Backend tests
cd backend
pytest tests/ -v --cov=src --cov-report=html
# Frontend tests
cd frontend
npm test
npm run test:coverage
# Integration tests
docker-compose -f docker-compose.test.yml up
pytest tests/integration/ -v
Test File Locations
- Backend unit tests:
backend/tests/unit/ - Backend integration tests:
backend/tests/integration/ - Frontend component tests:
frontend/src/components/**/*.test.tsx - Frontend integration tests:
frontend/src/__tests__/
📝 Development Checklist
Before Starting a Story
- Read the complete story file
- Review architecture documentation
- Ensure all dependencies are installed
- Previous story in epic is complete
- Create feature branch:
feature/story-X.Y-brief-description
During Implementation
- Follow the task list in order
- Write tests as you code
- Use provided code examples as templates
- Handle errors as specified
- Update documentation if needed
Before Marking Complete
- All acceptance criteria met
- All tests passing
- Code review completed
- Documentation updated
- Story status updated to "Done"
🚦 Sprint Planning Recommendations
Sprint 1 Goals (Weeks 1-2)
- Complete Epic 1 (Stories 1.2-1.4)
- Achieve end-to-end YouTube URL → Transcript flow
- Basic UI operational
- Demo: Show transcript extraction from any YouTube video
Sprint 2 Goals (Weeks 3-4)
- Implement AI summarization (Stories 2.1-2.3)
- Complete caching system
- End-to-end pipeline working
- Demo: Generate AI summaries with caching
Sprint 3 Goals (Weeks 5-6)
- Add multi-model support (Story 2.4)
- Implement export functionality (Story 2.5)
- Performance optimization
- Demo: Complete YouTube Summarizer with all features
📊 Progress Tracking
Story Completion Tracking
Create a simple tracking board or use this template:
## Sprint 1 Progress
- [x] Story 1.1: Project Setup ✅ (Completed)
- [ ] Story 1.2: URL Validation (In Progress - 60%)
- [x] Task 1: Backend validation
- [x] Task 2: Frontend validation
- [ ] Task 3: API endpoint
- [ ] Task 4-6: Remaining tasks
- [ ] Story 1.3: Transcript Extraction (Not Started)
- [ ] Story 1.4: Basic Web Interface (Not Started)
Daily Standup Template
**Yesterday**: Completed Story 1.2 Tasks 1-2 (URL validation logic)
**Today**: Working on Story 1.2 Task 3 (API endpoint)
**Blockers**: Need clarification on error message format
🔗 Quick Links
Documentation
- Architecture Document - Complete technical specification
- Frontend Specification - UI/UX requirements
- Original PRD - Product requirements
- Epic Index - Epic overview and status
Story Files
- Epic 1 Stories - Foundation & YouTube Integration
- Epic 2 Stories - AI Summarization Engine
- Epic 3 Planning - Future features
BMad Method Resources
- Story template:
.bmad-core/templates/story-tmpl.yaml - Development workflow:
.bmad-core/enhanced-ide-development-workflow.md
🤝 Communication Protocols
Questions About Stories
- Check the Dev Notes section in the story
- Review the architecture document references
- Look for similar patterns in completed stories
- Ask in team channel with story reference (e.g., "Question about Story 1.2, Task 3")
Reporting Issues
When reporting issues, include:
- Story ID and Task number
- Expected behavior from acceptance criteria
- Actual behavior observed
- Error messages and logs
- Steps to reproduce
Code Review Process
- Create PR with story reference in title:
feat(story-1.2): Implement URL validation - Link to story file in PR description
- Include acceptance criteria checklist
- Request review from team lead
🎯 Definition of Done
A story is considered DONE when:
- ✅ All acceptance criteria are met
- ✅ All tasks and subtasks are completed
- ✅ Unit tests written and passing (>80% coverage)
- ✅ Integration tests passing
- ✅ Code reviewed and approved
- ✅ Documentation updated if needed
- ✅ No critical bugs or security issues
- ✅ Story status updated to "Done"
- ✅ Demo-able to stakeholders
🚀 Ready to Start!
Your first action items:
- Set up development environment using the quick setup commands above
- Start with Story 1.2 - URL Validation and Parsing
- Create feature branch:
git checkout -b feature/story-1.2-url-validation - Open story file:
docs/stories/1.2.youtube-url-validation-parsing.md - Begin with Task 1: Backend URL Validation Service
Remember: Each story has comprehensive Dev Notes with code examples. Use them as your implementation guide!
This handoff document prepared by Bob (Scrum Master) following BMad Method best practices.
Last updated: 2025-01-25