#!/usr/bin/env python3
"""
Debug script to test LLM connection
"""

import openai
from config import Config

def test_llm_connection():
    """Test basic LLM connection"""
    config = Config()
    
    client = openai.OpenAI(
        base_url=config.llm_config['base_url'],
        api_key=config.llm_config.get('api_key', 'not-needed')
    )
    
    try:
        print(f"Testing connection to {config.llm_config['base_url']}")
        print(f"Using model: {config.llm_config['model']}")
        
        response = client.chat.completions.create(
            model=config.llm_config['model'],
            messages=[
                {"role": "system", "content": "You are a helpful translator."},
                {"role": "user", "content": "Translate 'Hello' to German. Respond with just the translation."}
            ],
            temperature=0.3,
            timeout=30
        )
        
        print(f"Response type: {type(response)}")
        print(f"Response: {response}")
        
        if hasattr(response, 'choices') and response.choices:
            choice = response.choices[0]
            print(f"Choice type: {type(choice)}")
            print(f"Choice: {choice}")
            
            if hasattr(choice, 'message'):
                message = choice.message
                print(f"Message type: {type(message)}")
                print(f"Message: {message}")
                
                if hasattr(message, 'content'):
                    content = message.content
                    print(f"Content type: {type(content)}")
                    print(f"Content: {content}")
                else:
                    print("No content attribute in message")
            else:
                print("No message attribute in choice")
        else:
            print("No choices in response")
            
    except Exception as e:
        print(f"Error: {e}")
        import traceback
        traceback.print_exc()

if __name__ == "__main__":
    test_llm_connection()