#!/usr/bin/env python3
"""
Test script for search_optimizer refactoring functionality.

This script tests the refactored search optimization functions to ensure
they work correctly after being moved from app.py to search_optimizer.py.
"""

import sys
import traceback
from typing import List, Dict, Any

def test_search_decision_functions():
    """Test basic search decision functions without dependencies"""
    
    print("🧪 Testing Search Decision Functions")
    print("=" * 50)
    
    # Test cases for should_perform_search
    test_cases = [
        {
            "name": "No history - should search",
            "prompt": "Explain artificial intelligence concepts",
            "history": None,
            "expected_search": True
        },
        {
            "name": "Greeting - should not search",
            "prompt": "Hello there!",
            "history": None,
            "expected_search": False
        },
        {
            "name": "Follow-up question - should not search",
            "prompt": "Tell me more about that",
            "history": [{"user": "What is AI?", "assistant": "AI is artificial intelligence..."}],
            "expected_search": False
        },
        {
            "name": "New information request - should search",
            "prompt": "What is the latest news about AI?",
            "history": [{"user": "What is AI?", "assistant": "AI is artificial intelligence..."}],
            "expected_search": True
        }
    ]
    
    try:
        # Import the function for testing
        from search_optimizer import should_perform_search
        
        print("✅ Function import successful")
        
        # Test each case
        for i, case in enumerate(test_cases, 1):
            print(f"\n🔍 Test {i}: {case['name']}")
            
            try:
                result = should_perform_search(
                    case["prompt"],
                    case["history"]
                )
                
                actual_search = result["should_search"]
                expected_search = case["expected_search"]
                
                if actual_search == expected_search:
                    print(f"   ✅ PASS - Decision: {actual_search}")
                    print(f"   📝 Reason: {result['reason']}")
                    print(f"   📊 Confidence: {result['confidence']:.2f}")
                else:
                    print(f"   ❌ FAIL - Expected: {expected_search}, Got: {actual_search}")
                    print(f"   📝 Reason: {result['reason']}")
                    
            except Exception as e:
                print(f"   ❌ ERROR: {e}")
        
    except ImportError as e:
        print(f"❌ Import failed: {e}")
        return False
    except Exception as e:
        print(f"❌ Unexpected error: {e}")
        traceback.print_exc()
        return False
    
    return True

def test_utility_functions():
    """Test utility functions that don't require heavy dependencies"""
    
    print("\n🛠️  Testing Utility Functions")
    print("=" * 50)
    
    try:
        from search_optimizer import format_search_context
        
        print("✅ format_search_context import successful")
        
        # Test format_search_context
        test_results = [
            {
                "source": "Brave",
                "title": "Machine Learning Guide",
                "body": "Machine learning is a subset of artificial intelligence..."
            },
            {
                "source": "DuckDuckGo", 
                "title": "AI Overview",
                "body": "Artificial intelligence involves creating systems that can perform tasks..."
            }
        ]
        
        formatted = format_search_context(test_results)
        
        if formatted and "Machine Learning Guide" in formatted and "AI Overview" in formatted:
            print("✅ format_search_context works correctly")
            print(f"📄 Sample output: {formatted[:100]}...")
        else:
            print("❌ format_search_context failed")
            
    except ImportError as e:
        print(f"❌ Import failed: {e}")
        return False
    except Exception as e:
        print(f"❌ Unexpected error: {e}")
        traceback.print_exc()
        return False
        
    return True

def test_conversation_history_analysis():
    """Test conversation history analysis function"""
    
    print("\n📊 Testing Conversation History Analysis")
    print("=" * 50)
    
    try:
        from search_optimizer import has_meaningful_conversation_history
        
        print("✅ has_meaningful_conversation_history import successful")
        
        # Test cases
        test_cases = [
            {
                "name": "Empty history",
                "history": None,
                "expected": False
            },
            {
                "name": "Meaningful conversation",
                "history": [{"user": "What is machine learning?", "assistant": "Machine learning is a field of artificial intelligence..."}],
                "expected": True
            },
            {
                "name": "Too short entries",
                "history": [{"user": "Hi", "assistant": "Hi"}],
                "expected": False
            }
        ]
        
        for i, case in enumerate(test_cases, 1):
            print(f"\n🔍 Test {i}: {case['name']}")
            
            try:
                result = has_meaningful_conversation_history(case["history"])
                
                if result == case["expected"]:
                    print(f"   ✅ PASS - Result: {result}")
                else:
                    print(f"   ❌ FAIL - Expected: {case['expected']}, Got: {result}")
                    
            except Exception as e:
                print(f"   ❌ ERROR: {e}")
        
    except ImportError as e:
        print(f"❌ Import failed: {e}")
        return False
    except Exception as e:
        print(f"❌ Unexpected error: {e}")
        traceback.print_exc()
        return False
        
    return True

def main():
    """Run all functional tests"""
    
    print("🚀 Search Optimizer Refactoring Test Suite")
    print("=" * 60)
    print("Testing refactored search optimization functions...")
    print()
    
    # Track test results
    tests_passed = 0
    total_tests = 3
    
    # Run tests
    if test_search_decision_functions():
        tests_passed += 1
        
    if test_utility_functions():
        tests_passed += 1
        
    if test_conversation_history_analysis():
        tests_passed += 1
    
    # Summary
    print("\n" + "=" * 60)
    print("📋 TEST SUMMARY")
    print("=" * 60)
    
    if tests_passed == total_tests:
        print(f"✅ ALL TESTS PASSED ({tests_passed}/{total_tests})")
        print("🎉 Search optimizer refactoring successful!")
        return True
    else:
        print(f"❌ SOME TESTS FAILED ({tests_passed}/{total_tests})")
        print("⚠️  Please check the errors above")
        return False

if __name__ == "__main__":
    success = main()
    sys.exit(0 if success else 1)