"""
GATE Motion Analysis - Deployment Script
Simplified deployment for Gradio Spaces
"""

import subprocess
import sys
import os
from pathlib import Path


def check_requirements():
    """Check if required packages are installed."""
    try:
        import gradio
        print(f"✓ Gradio {gradio.__version__} found")
        return True
    except ImportError:
        print("✗ Gradio not found. Install with: pip install gradio")
        return False


def deploy_to_spaces():
    """Deploy to Hugging Face Spaces using gradio deploy."""
    
    print("🚀 Deploying GATE Motion Analysis to Hugging Face Spaces...")
    print("📋 This will:")
    print("  1. Create a new Space on Hugging Face")
    print("  2. Upload your code and requirements")
    print("  3. Enable GPU acceleration if available")
    print()
    
    # Change to deployment directory
    os.chdir(Path(__file__).parent)
    
    try:
        # Run gradio deploy command
        result = subprocess.run([
            sys.executable, "-m", "gradio", "deploy",
            "--title", "GATE Motion Analysis",
            "--app-file", "app.py"
        ], capture_output=False, text=True)
        
        if result.returncode == 0:
            print("✅ Deployment successful!")
        else:
            print("❌ Deployment failed. Check your Hugging Face credentials.")
            
    except Exception as e:
        print(f"❌ Error during deployment: {e}")


def test_locally():
    """Test the app locally before deployment."""
    
    print("🧪 Testing GATE Motion Analysis locally...")
    
    try:
        # Import and run the app
        from app import main
        main()
        
    except ImportError as e:
        print(f"❌ Import error: {e}")
        print("Make sure all dependencies are installed:")
        print("pip install -r requirements.txt")
        
    except Exception as e:
        print(f"❌ Error running app: {e}")


def main():
    """Main deployment script."""
    
    if not check_requirements():
        sys.exit(1)
    
    print("\nGATE Motion Analysis Deployment")
    print("=" * 40)
    print("1. Test locally")
    print("2. Deploy to Hugging Face Spaces")
    print("3. Exit")
    
    choice = input("\nSelect option (1-3): ").strip()
    
    if choice == "1":
        test_locally()
    elif choice == "2":
        deploy_to_spaces()
    else:
        print("Goodbye!")


if __name__ == "__main__":
    main()