Let me complete all the missing Python files and show you how to integrate Supabase for testing.

Perfect! I can see your Supabase database structure. Let me write out all the complete Python backend files that integrate with your exact table structure.

Complete Supabase Integration Setup

Now you have the complete Python backend! Here's how to set it up with your Supabase database:

1. Environment Setup

2. Install Dependencies

3. Supabase Database Setup

Since you already have the tables created, the API will automatically connect to them. The backend includes:

• Automatic data cleaning: Handles NaN/Infinity values
• Batch processing: Inserts data in 500-record batches
• Mock data fallback: Works even if Supabase is unavailable
• Error handling: Graceful degradation with logging

4. Test the Integration

5. API Endpoints Available

• GET /health - Check API and Supabase connection
• POST /calculate - Main calculation (mirrors your Jupyter notebook)
• GET /total-hits - Get aggregated results
• GET /channel-analysis - Detailed channel breakdown
• GET /calculation-history - Previous calculations

6. Frontend Integration

The API is now ready to connect with your Next.js frontend. Each calculation will:

1. Read from your Supabase tables (h2h, db2, instore2, etc.)
2. Run exact Jupyter notebook formulas
3. Save results back to Supabase (finalh2h, populationsummaries, etc.)
4. Return structured data for your React components

The Python backend now perfectly mirrors your Jupyter notebook with full Supabase integration! 🚀