🎉 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):

cd dashboard/backend
./start.sh
# or on Windows: bash start.sh

Terminal 2 (Frontend):

cd dashboard/frontend
./start.sh
# or on Windows: bash start.sh

Option 2: Manual Start

Terminal 1 (Backend):

cd dashboard/backend
pip install -r requirements.txt
python sample_data_generator.py  # Generate sample data
python main.py

Terminal 2 (Frontend):

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:

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:

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:

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:

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:

# 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

cd frontend
rm -rf .next node_modules
npm install
npm run dev

🚀 Production Deployment

Build Frontend

cd frontend
npm run build
npm start  # Runs on port 3000

Run Backend with Workers

cd backend
uvicorn main:app --host 0.0.0.0 --port 8000 --workers 4

Using Docker (Future Enhancement)

# 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 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.

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

# Visit: http://localhost:3000

Happy profiling! 🚀📊