"""
Ollama Setup Helper for Windows (SmoLagents Native)
===================================================

This script helps you set up Ollama for free AI analysis using SmoLagents' native Ollama support
"""

import subprocess
import time
import requests
import os

def check_ollama_installed():
    """Check if Ollama is installed"""
    try:
        result = subprocess.run(['ollama', '--version'], 
                              capture_output=True, text=True, timeout=10)
        if result.returncode == 0:
            print(f"✅ Ollama is installed: {result.stdout.strip()}")
            return True
        else:
            print("❌ Ollama is not installed or not working properly")
            return False
    except (subprocess.TimeoutExpired, FileNotFoundError, subprocess.SubprocessError):
        print("❌ Ollama is not installed")
        return False

def check_ollama_running():
    """Check if Ollama server is running"""
    try:
        response = requests.get("http://localhost:11434", timeout=5)
        if response.status_code == 200:
            print("✅ Ollama server is running")
            return True
        else:
            print("⚠️  Ollama server is not responding properly")
            return False
    except requests.exceptions.RequestException:
        print("❌ Ollama server is not running")
        return False

def start_ollama_server():
    """Start Ollama server"""
    try:
        print("🚀 Starting Ollama server...")
        # Start Ollama server in background
        process = subprocess.Popen(['ollama', 'serve'], 
                                 stdout=subprocess.PIPE, 
                                 stderr=subprocess.PIPE)
        
        # Wait a bit for server to start
        time.sleep(3)
        
        if check_ollama_running():
            print("✅ Ollama server started successfully")
            return True
        else:
            print("❌ Failed to start Ollama server")
            return False
    except Exception as e:
        print(f"❌ Error starting Ollama server: {e}")
        return False

def download_model(model_name="llama2"):
    """Download a model for Ollama"""
    try:
        print(f"📥 Downloading {model_name} model (this may take a while)...")
        result = subprocess.run(['ollama', 'pull', model_name], 
                              capture_output=True, text=True, timeout=600)
        
        if result.returncode == 0:
            print(f"✅ {model_name} model downloaded successfully")
            return True
        else:
            print(f"❌ Failed to download {model_name} model")
            print(f"Error: {result.stderr}")
            return False
    except subprocess.TimeoutExpired:
        print(f"⏰ Download timeout for {model_name} model")
        return False
    except Exception as e:
        print(f"❌ Error downloading {model_name} model: {e}")
        return False

def list_available_models():
    """List downloaded models"""
    try:
        result = subprocess.run(['ollama', 'list'], 
                              capture_output=True, text=True, timeout=10)
        if result.returncode == 0:
            print("📋 Available models:")
            print(result.stdout)
            return True
        else:
            print("❌ Failed to list models")
            return False
    except Exception as e:
        print(f"❌ Error listing models: {e}")
        return False

def test_ollama_chat(model_name="llama2"):
    """Test Ollama with a simple chat"""
    try:
        print(f"🧪 Testing {model_name} model...")
        test_prompt = "Hello, can you help me analyze data? Just say yes or no."
        
        result = subprocess.run(['ollama', 'run', model_name, test_prompt], 
                              capture_output=True, text=True, timeout=30)
        
        if result.returncode == 0:
            print("✅ Ollama model test successful!")
            print(f"Response: {result.stdout.strip()}")
            return True
        else:
            print("❌ Ollama model test failed")
            print(f"Error: {result.stderr}")
            return False
    except subprocess.TimeoutExpired:
        print("⏰ Ollama model test timeout")
        return False
    except Exception as e:
        print(f"❌ Error testing Ollama model: {e}")
        return False

def setup_ollama():
    """Complete Ollama setup process"""
    print("🤖 OLLAMA SETUP FOR FREE AI ANALYSIS")
    print("=" * 40)
    
    # Step 1: Check installation
    if not check_ollama_installed():
        print("\n📝 Installation Instructions:")
        print("1. Go to https://ollama.ai/")
        print("2. Download the Windows installer")
        print("3. Run the installer")
        print("4. Restart your terminal/command prompt")
        print("5. Run this script again")
        return False
    
    # Step 2: Start server
    if not check_ollama_running():
        if not start_ollama_server():
            print("\n🔧 Manual server start:")
            print("Open a new terminal and run: ollama serve")
            return False
    
    # Step 3: Download model
    print(f"\n📋 Checking available models...")
    list_available_models()
    
    # Check if llama2 is available
    result = subprocess.run(['ollama', 'list'], capture_output=True, text=True)
    if 'llama2' not in result.stdout:
        print("\n📥 Downloading llama2 model...")
        if not download_model("llama2"):
            # Try a smaller model if llama2 fails
            print("🔄 Trying smaller model (phi)...")
            if not download_model("phi"):
                print("❌ Failed to download any model")
                return False
    
    # Step 4: Test the setup
    print(f"\n🧪 Testing setup...")
    model_to_test = "llama2" if 'llama2' in result.stdout else "phi"
    if test_ollama_chat(model_to_test):
        print("\n🎉 OLLAMA SETUP COMPLETE!")
        print("You can now use AI analysis in your upload.py script")
        return True
    else:
        print("❌ Setup incomplete - model test failed")
        return False

if __name__ == "__main__":
    success = setup_ollama()
    
    if success:
        print("\n🚀 Next Steps:")
        print("1. Run: python upload.py")
        print("2. Choose option 2 (Enhanced interactive mode)")
        print("3. Use menu option 4 for AI analysis")
        print("\n💡 Your script is already configured for Ollama!")
    else:
        print("\n🔧 Setup incomplete. Please follow the instructions above.")