l4l_predictor.py

import json
from pathlib import Path
from lotto_predictor import predict_for_game_v3, NumpyEncoder

def main():
    # Lucky for Life CSV path
    csv_path = Path("Lucky For Life.csv")
    
    try:
        # Run prediction for Lucky for Life (game key "l4l")
        print("Generating Lucky for Life prediction...")
        res = predict_for_game_v3(csv_path, "l4l", run_backtest=False)
        
        print("Prediction:")
        print(json.dumps(res, indent=2, cls=NumpyEncoder))
        
        print(f"\nPredicted Numbers: {res['numbers']}")
        if res.get('star'):
            print(f"Lucky Ball: {res['star']}")
        
        # Print model info if present
        model_info = res.get('model_info', {})
        print(f"\nModel built for {model_info.get('numbers_modeled', 0)} "
              f"out of {model_info.get('total_possible', 0)} possible numbers")
        
    except Exception as e:
        print(f"Prediction failed: {str(e)}")
        import traceback
        traceback.print_exc()

if __name__ == "__main__":
    main()