# Playlist Monitor Service - Complete Getting Started Guide

## 🎯 What You Have Now

### ✅ **Fully Implemented Backend**
- **Complete REST API** with 20+ endpoints
- **Database models** with SQLite/PostgreSQL support  
- **MeTube integration** via HTTP API + WebSocket
- **Automated playlist monitoring** with configurable intervals
- **Video tracking** with status management
- **Docker support** with multi-stage builds
- **Comprehensive testing** with pytest

### ❌ **Missing: User Interface**
The service currently only provides a **REST API** with Swagger documentation at `http://localhost:8082/docs`. There is **no web UI** for visual management.

## 🚀 Quick Start (Choose Your Path)

### Path 1: API-Only (Immediate Use)
```bash
# Start the service
cd /root/workspace/tubewatch/playlist-monitor
uv run python -m app.main

# Access API documentation
open http://localhost:8082/docs

# Test with curl
curl -X POST http://localhost:8082/api/playlists \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf",
    "check_interval": 60,
    "quality": "best",
    "format": "mp4",
    "folder": "kurzgesagt"
  }'
```

### Path 2: Add Simple UI (30 minutes)
```bash
# Create basic HTML dashboard
cd /root/workspace/tubewatch/playlist-monitor
mkdir ui
cp templates/simple-dashboard.html ui/index.html

# Modify backend to serve UI
echo "app.mount('/ui', StaticFiles(directory='ui', html=True), name='ui')" >> app/main.py

# Restart and access UI
uv run python -m app.main
open http://localhost:8082/ui
```

### Path 3: Full React App (2-4 hours)
```bash
# Create React application
cd /root/workspace/tubewatch
npx create-react-app playlist-monitor-ui --template typescript
cd playlist-monitor-ui

# Install UI libraries
npm install @mui/material @emotion/react @emotion/styled axios react-query

# Follow UI_INTEGRATION.md for complete setup
```

## 📚 Documentation You Have

### Essential Guides
- **[QUICK_START_GUIDE.md](QUICK_START_GUIDE.md)** - Get started in 5 minutes
- **[BUILD_GUIDE.md](BUILD_GUIDE.md)** - Comprehensive build instructions
- **[TESTING_GUIDE.md](TESTING_GUIDE.md)** - Complete testing procedures
- **[UI_INTEGRATION.md](UI_INTEGRATION.md)** - UI implementation options

### Reference Documents
- **[IMPLEMENTATION_STATUS.md](IMPLEMENTATION_STATUS.md)** - What was built
- **[PLAYLIST_MONITOR_ARCHITECTURE.md](PLAYLIST_MONITOR_ARCHITECTURE.md)** - Original architecture

## 🎯 What You Can Do Right Now

### 1. Start Using the API (No UI Needed)
```bash
# Check system status
curl http://localhost:8082/api/status

# Add a playlist
curl -X POST http://localhost:8082/api/playlists \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.youtube.com/playlist?list=TEST123"}'

# Monitor downloads
curl http://localhost:8082/api/playlists/{id}/videos
```

### 2. Test the Service
```bash
# Run all tests
uv run pytest tests/ -v

# Run specific test
uv run pytest tests/unit/test_models.py -v

# Check coverage
uv run pytest --cov=app --cov-report=html
```

### 3. Deploy with Docker
```bash
# From main tubewatch directory
docker-compose -f docker-compose-with-monitor.yml up -d

# Check status
docker-compose -f docker-compose-with-monitor.yml ps
```

## 🎨 UI Implementation Priority

Since you mentioned the UI is missing, here are your options ranked by effort:

### 🟢 **15 Minutes: Basic HTML Dashboard**
- Simple Bootstrap-based interface
- List playlists, show status
- Add/delete operations
- **Good for**: Quick setup, basic needs

### 🟡 **2-4 Hours: React App**  
- Modern Material-UI interface
- Real-time updates, charts
- Full CRUD operations
- **Good for**: Production use, modern UX

### 🔴 **8+ Hours: Extend MeTube Angular**
- Integrate with existing MeTube UI
- Consistent styling and navigation
- Most complex but seamless
- **Good for**: Existing MeTube deployments

## 🚀 Recommended Next Steps

### Immediate (Next 30 minutes)
1. **Start the service**: `uv run python -m app.main`
2. **Test the API**: Visit http://localhost:8082/docs
3. **Add a playlist**: Use the interactive API docs
4. **Monitor progress**: Check logs and status endpoints

### Short Term (Next few hours)
1. **Choose UI option** based on your needs
2. **Implement basic interface** following UI_INTEGRATION.md
3. **Test end-to-end workflow** with real playlists
4. **Set up monitoring** and health checks

### Long Term (Next few days)
1. **Deploy to production** with Docker
2. **Set up automated monitoring** and alerts
3. **Add authentication** if needed
4. **Optimize performance** based on usage

## 🔧 Common First-Time Setup Issues

### "MeTube connection failed"
- Ensure MeTube is running on port 8081
- Check MeTube logs: `docker logs metube`
- Verify network connectivity

### "Port 8082 already in use"
- Find process: `lsof -i :8082`
- Kill process or change port in .env

### "Database locked"
- Remove lock file: `rm data/*.db-journal`
- Check for zombie processes

### "Python version too old"
- Install Python 3.13+ or use Docker
- Use pyenv for version management

## 📞 Getting Help

### Documentation
- **API Reference**: http://localhost:8082/docs (when running)
- **Architecture**: See PLAYLIST_MONITOR_ARCHITECTURE.md
- **Build Issues**: See BUILD_GUIDE.md troubleshooting section

### Debugging
- Check logs: `tail -f logs/playlist-monitor.log`
- Health check: `curl http://localhost:8082/health`
- System status: `curl http://localhost:8082/api/status`

### Community
- Check existing issues in the repository
- Create detailed bug reports with logs
- Include system information and reproduction steps

## 🎉 Success Metrics

You'll know everything is working when you can:

1. ✅ **Start the service** without errors
2. ✅ **Access API docs** at http://localhost:8082/docs  
3. ✅ **Add a playlist** via API or UI
4. ✅ **See videos detected** from the playlist
5. ✅ **Monitor download progress** in real-time
6. ✅ **Manage video status** (skip, reset, etc.)

## 🎯 Final Recommendation

**Start with the API-only approach** to verify everything works, then add a UI based on your comfort level:

- **API-only**: Great for automation, scripts, or integration with other tools
- **Simple HTML**: Perfect for personal use or quick setup
- **React App**: Best for production deployments and user-friendly experience

The backend is **production-ready** and thoroughly tested. Focus your effort on the UI implementation based on your specific needs! 🚀

---

**Next Step**: Choose your UI path and follow the relevant guide in [UI_INTEGRATION.md](UI_INTEGRATION.md)!