#!/usr/bin/env python3
"""
Test LLM integration for surf spot finder
"""

import asyncio
import sys
import os

# Add parent directory to path
sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))

from tools.llm_agent_tool import SurfLLMAgent, LLMAgentInput


async def test_llm_fallback():
    """Test LLM agent fallback functionality"""
    print("🤖 Testing LLM Agent (Fallback Mode)...")
    
    agent = SurfLLMAgent()
    
    # Sample surf spots data
    sample_spots = [
        {
            "id": "tarifa_spain",
            "name": "Tarifa",
            "location": "Spain, Andalusia",
            "distance_km": 15.2,
            "score": 85.5,
            "characteristics": {
                "break_type": "beach_break",
                "skill_level": ["beginner", "intermediate", "advanced"]
            },
            "conditions": {
                "wave_height": 1.5,
                "wind_speed": 12,
                "wind_direction": 135
            },
            "explanation": "Good wave height and favorable wind direction for this beach break"
        },
        {
            "id": "el_palmar_spain", 
            "name": "El Palmar",
            "location": "Spain, Andalusia",
            "distance_km": 25.8,
            "score": 72.3,
            "characteristics": {
                "break_type": "beach_break",
                "skill_level": ["beginner", "intermediate"]
            },
            "conditions": {
                "wave_height": 1.2,
                "wind_speed": 8,
                "wind_direction": 90
            },
            "explanation": "Moderate conditions suitable for beginners and intermediate surfers"
        }
    ]
    
    test_input = LLMAgentInput(
        user_location="Málaga, Spain",
        user_preferences={"skill_level": "intermediate", "board_type": "shortboard"},
        surf_spots=sample_spots
    )
    
    try:
        result = await agent.run(test_input)
        
        if result.success:
            print("✅ LLM Agent Test Results:")
            print(f"   Summary: {result.summary}")
            if result.reasoning and result.reasoning != "Using fallback analysis due to LLM unavailability":
                print(f"   🎯 LLM-powered reasoning detected!")
                print(f"   Reasoning length: {len(result.reasoning)} characters")
            else:
                print(f"   🔄 Fallback analysis used (expected without API keys)")
            print(f"   Recommendations: {len(result.recommendations)} spots")
            return True
        else:
            print(f"❌ LLM Agent failed: {result.error}")
            return False
            
    except Exception as e:
        print(f"❌ LLM Agent test error: {e}")
        return False


def test_llm_provider_detection():
    """Test which LLM providers are available"""
    print("\n🔑 Testing LLM Provider Availability...")
    
    agent = SurfLLMAgent()
    provider = agent._get_available_provider()
    
    print(f"   OpenAI API Key: {'✅' if agent.openai_api_key else '❌'}")
    print(f"   Anthropic API Key: {'✅' if agent.anthropic_api_key else '❌'}")  
    print(f"   OpenRouter API Key: {'✅' if agent.openrouter_api_key else '❌'}")
    print(f"   Selected Provider: {provider or 'None (fallback mode)'}")
    
    return True


async def main():
    """Run LLM integration tests"""
    print("🚀 LLM Integration Tests")
    print("=" * 40)
    
    # Test provider detection
    provider_ok = test_llm_provider_detection()
    
    # Test LLM agent functionality  
    llm_ok = await test_llm_fallback()
    
    print("\n" + "=" * 40)
    print("📊 LLM Integration Summary:")
    print(f"   Provider Detection: {'✅' if provider_ok else '❌'}")
    print(f"   LLM Agent: {'✅' if llm_ok else '❌'}")
    
    if provider_ok and llm_ok:
        print("\n🎉 LLM integration ready!")
        print("💡 To enable full LLM reasoning, set:")
        print("   - OPENAI_API_KEY=your_key")
        print("   - ANTHROPIC_API_KEY=your_key") 
        print("   - OPENROUTER_API_KEY=your_key")
        print("   Without API keys, fallback analysis will be used.")
    else:
        print("\n⚠️  LLM integration issues detected")


if __name__ == "__main__":
    asyncio.run(main())