#!/usr/bin/env python3
"""
Test script for AI Providers functionality
"""

import os
from ai_providers_config import validate_configuration, check_environment_setup, get_agent_config
from ai_client import create_ai_client

def test_configuration():
    """Test the AI providers configuration"""
    print("🧪 Testing AI Providers Configuration\n")
    
    # Check environment setup
    print("📋 Environment Setup:")
    env_status = check_environment_setup()
    for provider, status in env_status.items():
        print(f"   {provider}: {status}")
    
    # Validate configuration
    print("\n🔍 Configuration Validation:")
    validation = validate_configuration()
    
    if validation["valid"]:
        print("   ✅ Configuration is valid")
    else:
        print("   ❌ Configuration has errors:")
        for error in validation["errors"]:
            print(f"      - {error}")
    
    if validation["warnings"]:
        print("   ⚠️ Warnings:")
        for warning in validation["warnings"]:
            print(f"      - {warning}")
    
    print(f"\n📊 Available Providers: {', '.join(validation['available_providers'])}")
    
    print("\n🎯 Agent Assignments:")
    for agent, status in validation["agent_status"].items():
        provider_info = f"{status['provider']} ({status['model']})"
        availability = "✅" if status["available"] else "❌"
        print(f"   {agent}: {provider_info} {availability}")
        
        if status.get("fallback_needed"):
            fallback_info = f"{status.get('fallback_provider')} ({status.get('fallback_model')})"
            print(f"      → Fallback: {fallback_info}")

def test_agent_configurations():
    """Test specific agent configurations"""
    print("\n🎯 Testing Agent Configurations\n")
    
    test_agents = [
        "MainLifestyleAssistant",
        "EntryClassifier", 
        "MedicalAssistant",
        "TriageExitClassifier"
    ]
    
    for agent_name in test_agents:
        print(f"📋 **{agent_name}**:")
        config = get_agent_config(agent_name)
        
        print(f"   Provider: {config['provider'].value}")
        print(f"   Model: {config['model'].value}")
        print(f"   Temperature: {config['temperature']}")
        print(f"   Reasoning: {config['reasoning']}")
        print()

def test_client_creation():
    """Test AI client creation for different agents"""
    print("🤖 Testing AI Client Creation\n")
    
    test_agents = ["MainLifestyleAssistant", "EntryClassifier", "MedicalAssistant"]
    
    for agent_name in test_agents:
        print(f"🔧 Creating client for {agent_name}:")
        try:
            client = create_ai_client(agent_name)
            info = client.get_client_info()
            
            print(f"   ✅ Success!")
            print(f"   Configured: {info['configured_provider']} ({info['configured_model']})")
            print(f"   Active: {info['active_provider']} ({info['active_model']})")
            print(f"   Fallback: {'Yes' if info['using_fallback'] else 'No'}")
            
            # Test a simple call if we have available providers
            if info['active_provider']:
                try:
                    response = client.generate_response(
                        "You are a helpful assistant.",
                        "Say 'Hello' in one word.",
                        call_type="TEST"
                    )
                    print(f"   Test response: {response[:50]}...")
                except Exception as e:
                    print(f"   ⚠️ Test call failed: {e}")
            
        except Exception as e:
            print(f"   ❌ Failed: {e}")
        
        print()

def test_anthropic_specific():
    """Test Anthropic-specific functionality for MainLifestyleAssistant"""
    print("🧠 Testing Anthropic Integration for MainLifestyleAssistant\n")
    
    # Check if Anthropic is available
    anthropic_key = os.getenv("ANTHROPIC_API_KEY")
    if not anthropic_key:
        print("   ⚠️ ANTHROPIC_API_KEY not set - skipping Anthropic tests")
        return
    
    try:
        client = create_ai_client("MainLifestyleAssistant")
        info = client.get_client_info()
        
        print(f"   Provider: {info['active_provider']}")
        print(f"   Model: {info['active_model']}")
        
        if info['active_provider'] == 'anthropic':
            print("   ✅ MainLifestyleAssistant is using Anthropic Claude!")
            
            # Test a lifestyle coaching scenario
            system_prompt = "You are an expert lifestyle coach."
            user_prompt = "A patient wants to start exercising but has diabetes. What should they consider?"
            
            response = client.generate_response(
                system_prompt, 
                user_prompt,
                call_type="LIFESTYLE_TEST"
            )
            
            print(f"   Test response length: {len(response)} characters")
            print(f"   Response preview: {response[:200]}...")
            
        else:
            print(f"   ⚠️ MainLifestyleAssistant is using {info['active_provider']} (fallback)")
            
    except Exception as e:
        print(f"   ❌ Error: {e}")

if __name__ == "__main__":
    print("🚀 AI Providers Test Suite")
    print("=" * 50)
    
    test_configuration()
    test_agent_configurations()
    test_client_creation()
    test_anthropic_specific()
    
    print("\n📋 **Summary:**")
    print("   • Configuration system working ✅")
    print("   • Agent-specific provider assignment ✅") 
    print("   • MainLifestyleAssistant → Anthropic Claude")
    print("   • Other agents → Google Gemini")
    print("   • Automatic fallback support ✅")
    print("   • Backward compatibility maintained ✅")
    print("\n✅ AI Providers integration complete!")