Function demo_database_storage

demo.py:170–205

Demo: Store data in database

(forecast, prediction)

def demo_database_storage(forecast, prediction):
    """Demo: Store data in database"""
    
    print("\n" + "="*80)
    print("DEMO 3: DATABASE STORAGE")
    print("="*80)
    
    print("\nNote: This demo requires PostgreSQL to be running.")
    print("Database configuration: config.DATABASE_URL")
    print("\nTo actually run database operations:")
    print("  1. Install PostgreSQL")
    print("  2. Create database: createdb agriquant")
    print("  3. Set DATABASE_URL in .env file")
    print("  4. Run: python -c 'from database import *; db=AgriQuant AIDatabase(); db.connect(); db.create_tables()'")
    
    print("\n--- Database Schema ---")
    print("Tables that would be created:")
    print("  • weather_forecasts    - NOAA forecast data")
    print("  • ai_predictions       - Claude predictions")
    print("  • historical_events    - 40 years of verified events")
    print("  • usda_reports         - USDA crop damage reports")
    print("  • satellite_imagery    - Planet Labs / Sentinel-2 data")
    print("  • market_prices        - CME agricultural commodity futures")
    print("  • performance_metrics  - Accuracy tracking")
    
    print("\n--- Example Database Operations ---")
    print("Forecast would be stored with ID:")
    print(f"  County: {forecast.get('county', 'N/A')}")
    print(f"  Freeze Risk: {forecast.get('freeze_risk', {}).get('risk', 'N/A')}")
    
    if prediction:
        print("\nPrediction would be stored with:")
        print(f"  ID: {prediction.get('prediction_id', 'N/A')}")
        print(f"  Expected Damage: {prediction.get('expected_crop_damage_pct', 0)*100:.1f}%")
        print(f"  Confidence: {prediction.get('confidence_score', 0)*100:.0f}%")
        print(f"  Verified: False (pending USDA report)")


def demo_performance_tracking():