#!/usr/bin/env python3
"""
Hugging Face Spaces entry point for Crop Yield Prediction API
"""
import sys
import os

# Add src to Python path
sys.path.insert(0, 'src')

# Set up proper module structure for joblib loading (same as start.py)
try:
    from models import DataPreprocessor
    import types
    
    # Make it available in multiple namespaces for joblib compatibility
    globals()['DataPreprocessor'] = DataPreprocessor
    
    if '__main__' not in sys.modules or not hasattr(sys.modules['__main__'], 'DataPreprocessor'):
        if '__main__' in sys.modules:
            sys.modules['__main__'].DataPreprocessor = DataPreprocessor
    
    if 'models' not in sys.modules:
        models_module = types.ModuleType('models')
        models_module.DataPreprocessor = DataPreprocessor
        sys.modules['models'] = models_module
    
    print("✅ DataPreprocessor class prepared for joblib loading")
    
except ImportError as e:
    print(f"Warning: Could not import DataPreprocessor: {e}")

# Import the FastAPI app
from app import app

# This is the entry point for Hugging Face Spaces
if __name__ == "__main__":
    import uvicorn
    
    # Get port from environment (Hugging Face Spaces typically uses 7860)
    port = int(os.environ.get("PORT", 7860))
    
    print("🌾 Starting Crop Yield Prediction API on Hugging Face Spaces")
    print(f"🚀 Server starting on port {port}")
    
    uvicorn.run(
        app,
        host="0.0.0.0",
        port=port,
        log_level="info"
    )