"""
Quick test to verify HuggingFace Inference API works
Run this on HF Spaces to debug LLM connection issues
"""
import os
from llm_backend import LLMBackend, LLMProvider

def test_hf_connection():
    """Test HuggingFace Inference API connection"""
    print("="*60)
    print("Testing HuggingFace Inference Providers API Connection")
    print("(Updated Nov 2025 - New Endpoint)")
    print("="*60)

    # Check for token
    hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
    if hf_token:
        print(f"✓ HF Token found: {hf_token[:10]}...")
    else:
        print("✗ No HF Token found")
        print("  Set HF_TOKEN or HUGGINGFACE_API_KEY environment variable")
        return False

    # Initialize backend
    try:
        backend = LLMBackend(provider=LLMProvider.HUGGINGFACE, api_key=hf_token)
        print(f"✓ Backend initialized")
        print(f"  Provider: {backend.provider.value}")
        print(f"  Model: {backend.model}")
        print(f"  API URL: {backend.api_url}")

        # Verify we're using the new endpoint
        if "router.huggingface.co/hf-inference" in backend.api_url:
            print(f"  ✓ Using new Inference Providers API endpoint")
        else:
            print(f"  ⚠️  WARNING: Not using new endpoint! Update llm_backend.py")

    except Exception as e:
        print(f"✗ Backend initialization failed: {e}")
        return False

    # Test simple generation
    print("\nTesting simple message generation...")
    messages = [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Say 'Hello, World!' and nothing else."}
    ]

    try:
        response = backend.generate(messages, max_tokens=50, temperature=0.3)
        print(f"✓ Generation successful!")
        print(f"  Response: {response[:100]}")
        return True
    except Exception as e:
        print(f"✗ Generation failed: {e}")
        import traceback
        traceback.print_exc()
        return False


def test_survey_generation():
    """Test actual survey generation"""
    print("\n" + "="*60)
    print("Testing Survey Generation")
    print("="*60)

    from survey_generator import SurveyGenerator

    hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
    if not hf_token:
        print("✗ No HF Token, skipping")
        return False

    try:
        backend = LLMBackend(provider=LLMProvider.HUGGINGFACE, api_key=hf_token)
        generator = SurveyGenerator(backend)

        print("Generating a small test survey...")
        survey = generator.generate_survey(
            outline="Understand user satisfaction with a mobile app",
            survey_type="qualitative",
            num_questions=3,
            target_audience="Mobile app users"
        )

        print(f"✓ Survey generated!")
        print(f"  Title: {survey.get('title', 'N/A')}")
        print(f"  Questions: {len(survey.get('questions', []))}")
        return True

    except Exception as e:
        print(f"✗ Survey generation failed: {e}")
        import traceback
        traceback.print_exc()
        return False


if __name__ == "__main__":
    # Run tests
    connection_ok = test_hf_connection()

    if connection_ok:
        survey_ok = test_survey_generation()
        if survey_ok:
            print("\n" + "="*60)
            print("✅ ALL TESTS PASSED!")
            print("="*60)
        else:
            print("\n" + "="*60)
            print("⚠️  Basic connection works but survey generation failed")
            print("    This may be due to model limitations or rate limits")
            print("="*60)
    else:
        print("\n" + "="*60)
        print("❌ CONNECTION FAILED")
        print("   Check your HF_TOKEN and network connectivity")
        print("="*60)