"""
Hugging Face Space Deployment Helper
====================================
"""

import os
import subprocess
import sys

def deploy_to_huggingface():
    """Deploy SuperKart API to Hugging Face Spaces"""
    
    print("[DEPLOY] SuperKart Sales Forecasting API")
    print("=" * 50)
    
    # Check if backend files exist
    backend_dir = "backend_files"
    if not os.path.exists(backend_dir):
        print(f"Error: {backend_dir} directory not found!")
        print("Please ensure you're running from the project root directory.")
        return False
    
    # List required files
    required_files = [
        "app.py",
        "requirements.txt", 
        "Dockerfile",
        "README.md",
        "superkart_sales_forecasting_model.joblib"
    ]
    
    missing_files = []
    for file in required_files:
        file_path = os.path.join(backend_dir, file)
        if not os.path.exists(file_path):
            missing_files.append(file)
    
    if missing_files:
        print(f"Error: Missing required files: {missing_files}")
        return False
    
    print("✅ All required files found")
    
    # Instructions for manual deployment
    print(f"""
📝 MANUAL DEPLOYMENT STEPS:

1. Create Hugging Face Space:
   • Go to: https://huggingface.co/new-space
   • Name: superkart-sales-api
   • SDK: Docker
   • Hardware: CPU Basic

2. Clone your space:
   git clone https://huggingface.co/spaces/yourusername/superkart-sales-api
   cd superkart-sales-api

3. Copy files:
   Copy all files from {backend_dir}/ to your space directory

4. Deploy:
   git add .
   git commit -m "Initial deployment"
   git push origin main

🚀 Your API will be live at:
   https://yourusername-superkart-sales-api.hf.space
""")
    
    return True

if __name__ == "__main__":
    deploy_to_huggingface()