tests/test_real_ai.py

"""
Real AI Ethics Engine Test

This script tests the AI Ethics Engine with novel ethical dilemmas to demonstrate
its ability to reason about complex, unseen scenarios.
"""
import time
from components.ai_ethics_engine_enhanced import AIEthicsEngine
from components.llm_integration import CustomLLMResponder

def run_ethics_test():
    """Run the AI ethics engine test with novel dilemmas."""
    print("🧠 TESTING REAL AI ETHICS ENGINE")
    print("=" * 60)
    
    # Initialize the ethics engine with a real LLM responder
    print("\nInitializing AI Ethics Engine...")
    llm_responder = CustomLLMResponder()
    engine = AIEthicsEngine(llm_responder=llm_responder)
    
    # Novel ethical dilemmas
    novel_dilemmas = [
        "Should we develop AI that can experience emotions?",
        "Is it ethical to upload human consciousness to computers?",
        "Should we genetically engineer humans for enhanced intelligence?",
        "Is it wrong to create artificial life forms?",
        "Should we prioritize environmental protection over economic growth?"
    ]
    
    for i, dilemma in enumerate(novel_dilemmas, 1):
        print(f"\n{i}. Q: {dilemma}")
        print("-" * 40)
        
        try:
            # Time the analysis
            start_time = time.time()
            
            # Analyze the dilemma
            result = engine.analyze_dilemma(
                dilemma=dilemma,
                explain=False,
                audit=True,
                max_retries=2,
                timeout=30
            )
            
            # Calculate execution time
            execution_time = time.time() - start_time
            
            if "error" in result:
                print(f"❌ Error: {result['error']}")
                continue
                
            # Print the integrated assessment
            print(f"✅ Integrated Assessment:")
            print(result.get("integrated_assessment", "No assessment provided")[:500] + 
                 ("..." if len(result.get("integrated_assessment", "")) > 500 else ""))
            
            # Show framework analyses
            if "framework_analyses" in result:
                frameworks = list(result["framework_analyses"].keys())
                print(f"\n📊 Frameworks used: {', '.join(frameworks)}")
                
                # Print a brief summary of each framework's analysis
                for framework, analysis in result["framework_analyses"].items():
                    print(f"\n{framework}:")
                    print("-" * len(framework))
                    print(analysis[:200] + ("..." if len(analysis) > 200 else ""))
            
            print(f"\n⏱️  Analysis time: {execution_time:.2f}s")
            print(f"🔍 Audit ID: {result.get('audit_id', 'N/A')}")
            
        except Exception as e:
            print(f"❌ Unexpected error: {str(e)}")
            import traceback
            traceback.print_exc()
    
    print("\n" + "=" * 60)
    print("🎯 AI ETHICS ENGINE TEST COMPLETE")

if __name__ == "__main__":
    run_ethics_test()