# 🎉 Baselinr Dashboard - Setup Complete!

The Baselinr Phase 2 Internal Dashboard MVP has been successfully created!

## ✅ What's Been Built

### Backend (FastAPI)
- ✅ RESTful API with 10+ endpoints
- ✅ Database client connecting to Baselinr storage
- ✅ Pydantic models for type safety
- ✅ CORS configuration for frontend
- ✅ Sample data generator
- ✅ Comprehensive documentation

### Frontend (Next.js)
- ✅ Dashboard overview with KPIs
- ✅ Run history page with filtering
- ✅ Drift detection alerts page
- ✅ Table-level metrics visualization
- ✅ Metrics & analytics page
- ✅ Responsive Tailwind CSS design
- ✅ Recharts visualizations
- ✅ Export functionality (JSON)

### Features Implemented
- ✅ Multi-warehouse support (Postgres, Snowflake, MySQL, BigQuery, Redshift, SQLite)
- ✅ Advanced filtering (warehouse, schema, table, date range, status, severity)
- ✅ Search and sort functionality
- ✅ Drill-down capabilities
- ✅ Real-time data fetching with React Query
- ✅ Beautiful, modern UI with Tailwind CSS
- ✅ Extensible architecture for future enhancements

## 📂 Project Structure

```
dashboard/
├── README.md                   # Main documentation
├── QUICKSTART.md               # 5-minute setup guide (this file)
├── ARCHITECTURE.md             # Technical architecture
├── SETUP_COMPLETE.md           # This file
├── .gitignore                  # Git ignore rules
│
├── backend/                    # FastAPI Backend
│   ├── main.py                # API server & endpoints
│   ├── models.py              # Pydantic response models
│   ├── database.py            # Database client
│   ├── requirements.txt       # Python dependencies
│   ├── sample_data_generator.py # Test data generator
│   ├── start.sh               # Startup script
│   └── README.md              # Backend docs
│
└── frontend/                   # Next.js Frontend
    ├── app/                   # Pages (App Router)
    │   ├── page.tsx           # Dashboard overview
    │   ├── layout.tsx         # Root layout
    │   ├── providers.tsx      # React Query setup
    │   ├── runs/              # Run history page
    │   ├── drift/             # Drift alerts page
    │   ├── tables/            # Table details (dynamic)
    │   └── metrics/           # Metrics page
    ├── components/            # Reusable components
    │   ├── Sidebar.tsx
    │   ├── KPICard.tsx
    │   ├── RunsTable.tsx
    │   ├── DriftAlertsTable.tsx
    │   └── FilterPanel.tsx
    ├── lib/                   # Utilities
    │   └── api.ts             # API client
    ├── package.json           # Node dependencies
    ├── tailwind.config.ts     # Tailwind config
    ├── tsconfig.json          # TypeScript config
    ├── next.config.js         # Next.js config
    ├── start.sh               # Startup script
    └── README.md              # Frontend docs
```

## 🚀 Quick Start

### Option 1: Using Start Scripts (Recommended)

**Terminal 1 (Backend):**
```bash
cd dashboard/backend
./start.sh
# or on Windows: bash start.sh
```

**Terminal 2 (Frontend):**
```bash
cd dashboard/frontend
./start.sh
# or on Windows: bash start.sh
```

### Option 2: Manual Start

**Terminal 1 (Backend):**
```bash
cd dashboard/backend
pip install -r requirements.txt
python sample_data_generator.py  # Generate sample data
python main.py
```

**Terminal 2 (Frontend):**
```bash
cd dashboard/frontend
npm install
npm run dev
```

### Access the Dashboard

- **Frontend**: http://localhost:3000
- **Backend API**: http://localhost:8000
- **API Docs**: http://localhost:8000/docs

## 📋 Environment Configuration

### Backend (.env)
Create `dashboard/backend/.env`:
```env
BASELINR_DB_URL=postgresql://baselinr:baselinr@localhost:5433/baselinr
API_HOST=0.0.0.0
API_PORT=8000
CORS_ORIGINS=http://localhost:3000
```

### Frontend (.env.local)
Create `dashboard/frontend/.env.local`:
```env
NEXT_PUBLIC_API_URL=http://localhost:8000
NODE_ENV=development
```

## 🎯 Key API Endpoints

| Endpoint | Description |
|----------|-------------|
| `GET /` | Health check |
| `GET /api/dashboard/metrics` | Aggregate dashboard metrics |
| `GET /api/runs` | List profiling runs (with filters) |
| `GET /api/runs/{run_id}` | Get detailed run results |
| `GET /api/drift` | List drift alerts |
| `GET /api/tables/{name}/metrics` | Get table-specific metrics |
| `GET /api/warehouses` | List available warehouses |
| `GET /api/export/runs` | Export runs as JSON |
| `GET /api/export/drift` | Export drift as JSON |

## 📊 Sample Data

To generate sample data for testing:

```bash
cd dashboard/backend
python sample_data_generator.py
```

This creates:
- **100 profiling runs** across all warehouse types
- **Column-level metrics** for each run
- **Drift events** for ~30% of runs

## 🎨 Customization

### Theme Colors
Edit `frontend/tailwind.config.ts`:
```typescript
colors: {
  primary: {
    500: '#0ea5e9',  // Change this!
  },
}
```

### Add New Page
1. Create `frontend/app/your-page/page.tsx`
2. Add route to `frontend/components/Sidebar.tsx`
3. Add API endpoint if needed in `backend/main.py`

### Add New Metric
1. Query in `backend/database.py`
2. Add to model in `backend/models.py`
3. Display in frontend component

## 🔍 Integration with Baselinr Phase 1

The dashboard automatically reads from Baselinr storage:
- **baselinr_runs**: Run metadata
- **baselinr_results**: Column metrics
- **baselinr_events**: Drift events

To populate with real data:
```bash
# From your Baselinr Phase 1 installation
baselinr profile --config examples/config.yml
```

## 📈 Dashboard Pages

### 1. Dashboard (/)
- KPI cards (Total Runs, Tables Profiled, Drift Events, Avg Rows)
- Run trend chart
- Warehouse breakdown
- Recent runs table
- Recent drift alerts

### 2. Runs (/runs)
- Full run history
- Filter by warehouse, schema, table, status, date
- Export to JSON
- Pagination
- Click table name to drill down

### 3. Drift Detection (/drift)
- All drift alerts
- Filter by warehouse, table, severity, date
- Severity breakdown (low/medium/high)
- Detailed metrics comparison
- Export to JSON

### 4. Table Metrics (/tables/[name])
- Table overview (rows, columns, runs, drift count)
- Row count trend chart
- Column-level metrics table
- Null percentages, distinct counts, min/max values

### 5. Metrics (/metrics)
- Warehouse distribution pie chart
- Profiling activity bar chart
- Drift trend chart
- Statistics summary

## 🛠️ Troubleshooting

### "Cannot connect to API"
- Ensure backend is running: `curl http://localhost:8000`
- Check `.env.local` has correct `NEXT_PUBLIC_API_URL`

### "No data showing"
- Run sample data generator: `python sample_data_generator.py`
- Or run Baselinr profiling: `baselinr profile --config config.yml`

### "Database connection error"
- Check PostgreSQL is running
- Verify `BASELINR_DB_URL` in `.env`
- Test connection: `psql "postgresql://baselinr:baselinr@localhost:5433/baselinr"`

### Frontend build errors
```bash
cd frontend
rm -rf .next node_modules
npm install
npm run dev
```

## 🚀 Production Deployment

### Build Frontend
```bash
cd frontend
npm run build
npm start  # Runs on port 3000
```

### Run Backend with Workers
```bash
cd backend
uvicorn main:app --host 0.0.0.0 --port 8000 --workers 4
```

### Using Docker (Future Enhancement)
```bash
# TODO: Add docker-compose.yml
docker-compose up
```

## 📚 Documentation

- **README.md**: Comprehensive feature overview
- **QUICKSTART.md**: 5-minute setup guide (in this directory)
- **ARCHITECTURE.md**: Technical architecture deep-dive
- **backend/README.md**: Backend-specific docs
- **frontend/README.md**: Frontend-specific docs

## 🎉 Next Steps

1. **Start both servers** (backend + frontend)
2. **Visit** http://localhost:3000
3. **Generate sample data** if database is empty
4. **Explore** all dashboard features
5. **Customize** colors and branding
6. **Integrate** with real Baselinr profiling runs

## 🔮 Future Enhancements (TODOs)

### Phase 2.1
- [ ] CSV export implementation
- [ ] Real-time updates via WebSockets
- [ ] Advanced filtering & saved views
- [ ] User authentication
- [ ] Dark mode support

### Phase 2.2
- [ ] Docker Compose setup
- [ ] Alert notifications (email, Slack)
- [ ] Custom dashboard builder
- [ ] API rate limiting
- [ ] Unit & integration tests

### Phase 2.3
- [ ] Machine learning insights
- [ ] Predictive analytics
- [ ] Multi-tenant support
- [ ] Advanced anomaly detection
- [ ] Figma design refinements

## ✨ Features Highlight

### MVP Scope ✅
- ✅ Run history with filters
- ✅ Drift alerts visualization
- ✅ Table-level profiling metrics
- ✅ Multi-warehouse support
- ✅ Clean, responsive UI
- ✅ Export functionality
- ✅ Extensible architecture

### Ready for Figma Design Integration
The dashboard is structured with:
- Modular components
- Tailwind CSS for easy styling
- Clear component boundaries
- Design system ready (colors, spacing, typography)

## 🤝 Support

For issues or questions:
1. Check [QUICKSTART.md](QUICKSTART.md) for setup help
2. Review **ARCHITECTURE.md** for technical details
3. Check API docs at http://localhost:8000/docs
4. Review backend/frontend README files

---

## 🎊 Congratulations!

You now have a fully functional Baselinr Dashboard MVP!

**Start exploring your data profiling results with a beautiful, modern interface.**

```bash
# Start the dashboard
cd dashboard/backend && python main.py &
cd dashboard/frontend && npm run dev &

# Visit: http://localhost:3000
```

Happy profiling! 🚀📊

