debug_ai_questions.py

# debug_ai_questions.py - Debug AI Questions issue

import os
import sys
from dotenv import load_dotenv

def debug_translator_state():
    """Debug translator state and configuration"""
    
    print("🔍 Debugging Translator State...")
    print("=" * 60)
    
    # Force reload environment
    load_dotenv(override=True)
    
    # Clear module cache
    if 'translator' in sys.modules:
        del sys.modules['translator']
    
    # Fresh import
    from translator import get_translator
    
    translator = get_translator()
    
    print(f"📋 OpenRouter Model: {translator.openrouter_model}")
    print(f"🔑 OpenRouter API Key: {translator.openrouter_api_key[:20]}...{translator.openrouter_api_key[-10:]}")
    
    # Test OpenRouter directly
    print("\n🧪 Testing OpenRouter directly...")
    try:
        result, error = translator._openrouter_complete("Say hello in Arabic")
        if result:
            print(f"✅ OpenRouter working: {result[:50]}...")
        else:
            print(f"❌ OpenRouter failed: {error}")
    except Exception as e:
        print(f"💥 OpenRouter exception: {str(e)}")
    
    return translator

def debug_ai_questions_engine():
    """Debug AI Questions engine"""
    
    print("\n🔍 Debugging AI Questions Engine...")
    print("=" * 60)
    
    # Clear module cache
    if 'ai_questions' in sys.modules:
        del sys.modules['ai_questions']
    
    # Fresh import
    from ai_questions import get_ai_question_engine
    
    engine = get_ai_question_engine()
    
    print(f"🔧 Engine translator model: {engine.translator.openrouter_model}")
    
    # Test model availability
    models_status = engine.check_model_availability()
    
    print("\n📊 Model Status:")
    for model, status in models_status.items():
        icon = status.get('icon', '❓')
        available = status.get('available', False)
        status_text = "✅ Available" if available else "❌ Unavailable"
        print(f"  {icon} {model}: {status_text}")
    
    return engine

def debug_question_processing():
    """Debug the actual question processing"""
    
    print("\n🔍 Debugging Question Processing...")
    print("=" * 60)
    
    engine = debug_ai_questions_engine()
    
    # Test with OpenRouter specifically
    print("\n🎯 Testing OpenRouter AI specifically...")
    
    test_text = "Hello and what are you doing? This is a test and I want to test my voice."
    test_question = "Explain this text in detail"
    
    try:
        # Test the _get_ai_response method directly
        context = engine._prepare_question_context(
            selected_text=test_text,
            question=test_question,
            session=None,  # We'll pass None for this test
            ui_language='en'
        )
        
        print(f"📝 Prepared context: {context[:100]}...")
        
        # Test with preferred model = OpenRouter AI
        response, error, model_used = engine._get_ai_response_with_model(
            context=context,
            ui_language='en',
            preferred_model='OpenRouter AI'
        )
        
        if response:
            print(f"✅ OpenRouter AI response: {response[:100]}...")
            print(f"🔧 Model used: {model_used}")
        else:
            print(f"❌ OpenRouter AI failed: {error}")
            
            # Try with auto model
            print("\n🔄 Trying with auto model...")
            response, error, model_used = engine._get_ai_response_with_model(
                context=context,
                ui_language='en',
                preferred_model='auto'
            )
            
            if response:
                print(f"✅ Auto model response: {response[:100]}...")
                print(f"🔧 Model used: {model_used}")
            else:
                print(f"❌ Auto model also failed: {error}")
        
    except Exception as e:
        print(f"💥 Question processing failed: {str(e)}")
        import traceback
        traceback.print_exc()

def debug_full_question_flow():
    """Debug the full question flow"""
    
    print("\n🔍 Debugging Full Question Flow...")
    print("=" * 60)
    
    engine = debug_ai_questions_engine()
    
    test_text = "Hello and what are you doing? This is a test and I want to test my voice."
    test_question = "Explain this text in detail"
    
    try:
        response, error, session_id, model_used = engine.process_question(
            selected_text=test_text,
            question=test_question,
            segment_info={"id": "test_segment"},
            ui_language='en',
            preferred_model='OpenRouter AI'
        )
        
        if response:
            print(f"✅ Full flow success: {response[:100]}...")
            print(f"🔧 Model used: {model_used}")
            print(f"📋 Session ID: {session_id}")
        else:
            print(f"❌ Full flow failed: {error}")
            
    except Exception as e:
        print(f"💥 Full flow exception: {str(e)}")
        import traceback
        traceback.print_exc()

def main():
    """Main debug function"""
    
    print("🚀 AI Questions Debug Tool")
    print("=" * 60)
    
    # Debug translator
    translator = debug_translator_state()
    
    # Debug AI questions engine
    engine = debug_ai_questions_engine()
    
    # Debug question processing
    debug_question_processing()
    
    # Debug full flow
    debug_full_question_flow()
    
    print("\n" + "=" * 60)
    print("🎯 Debug Complete!")

if __name__ == "__main__":
    main()