#!/usr/bin/env python3
"""
🌾 Hugging Face Spaces Entry Point
SIH Crop Yield Prediction API - Optimized for HF Spaces
"""
import sys
import os
import time
from pathlib import Path

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

print("🌾 Initializing SIH Crop Yield Prediction API...")
print("📍 Hugging Face Spaces Deployment")

# Set up proper module structure for joblib loading
try:
    from models import DataPreprocessor
    import types
    
    # Make it available in multiple namespaces for joblib compatibility
    globals()['DataPreprocessor'] = DataPreprocessor
    
    # Ensure __main__ module has the class
    if '__main__' in sys.modules:
        sys.modules['__main__'].DataPreprocessor = DataPreprocessor
    
    # Create models module if not exists
    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}")
    print("📋 The API will still work with basic functionality")

# Verify model files exist
model_dir = Path("models")
if model_dir.exists():
    model_files = list(model_dir.glob("*.pkl")) + list(model_dir.glob("*.json")) + list(model_dir.glob("*.pth"))
    print(f"🤖 Found {len(model_files)} model files")
    for model_file in model_files:
        print(f"   📄 {model_file.name} ({model_file.stat().st_size // 1024 // 1024}MB)")
else:
    print("⚠️  Models directory not found")

# Import the FastAPI app
try:
    from app import app
    print("✅ FastAPI application loaded successfully")
except ImportError as e:
    print(f"❌ Failed to import FastAPI app: {e}")
    sys.exit(1)

# This is the entry point for Hugging Face Spaces
if __name__ == "__main__":
    import uvicorn
    
    # Get port from environment (Hugging Face Spaces uses 7860)
    port = int(os.environ.get("PORT", 7860))
    
    print("\n" + "="*60)
    print("🚀 STARTING SIH CROP YIELD PREDICTION API")
    print("="*60)
    print(f"📍 Platform: Hugging Face Spaces")
    print(f"🌐 Port: {port}")
    print(f"🔗 Local URL: http://localhost:{port}")
    print(f"📚 API Docs: http://localhost:{port}/docs")
    print(f"❤️  Health Check: http://localhost:{port}/health")
    print("="*60)
    print("\n🎯 Ready for ML predictions!")
    
    # Small delay to ensure everything is initialized
    time.sleep(1)
    
    try:
        uvicorn.run(
            app,
            host="0.0.0.0",
            port=port,
            log_level="info",
            access_log=True
        )
    except Exception as e:
        print(f"❌ Failed to start server: {e}")
        sys.exit(1)