#!/usr/bin/env python3
"""
Quick Demo of the Conversational AI System
Shows key features and capabilities
Author: MiniMax Agent
"""

from conversational_ai import IntelligentConversationalAI, demonstrate_ai_capabilities

def quick_demo():
    """Quick demonstration of AI features"""
    print("🚀 QUICK DEMO: Conversational AI System")
    print("=" * 50)
    
    # Create AI instance
    ai = IntelligentConversationalAI()
    session = ai.create_conversation()
    
    print("✅ AI System initialized successfully!")
    print(f"📝 Session ID: {session}")
    print()
    
    # Demo key features
    print("🎯 KEY FEATURES DEMONSTRATION:")
    print("-" * 30)
    
    # Feature 1: Pattern Recognition
    print("\n1. 🔍 Pattern Recognition:")
    test_messages = [
        "Hello there!",
        "What's the weather like?",
        "Can you help me?",
        "What time is it?"
    ]
    
    for msg in test_messages:
        response = ai.process_message(session, msg)
        print(f"   Input: '{msg}'")
        print(f"   AI: {response}")
        print()
    
    # Feature 2: Contextual Memory
    print("\n2. 🧠 Contextual Memory:")
    contextual_messages = [
        "I love Python programming.",
        "It's such a versatile language.",
        "Machine learning is fascinating!"
    ]
    
    for msg in contextual_messages:
        response = ai.process_message(session, msg)
        print(f"   User: {msg}")
        print(f"   AI: {response}")
    
    # Feature 3: Personality System
    print("\n3. 🎭 Personality System:")
    personalities = ["friendly", "professional", "casual", "intellectual"]
    
    for personality in personalities:
        ai.set_personality(personality)
        test_msg = "This is an interesting conversation."
        response = ai.process_message(session, test_msg)
        print(f"   {personality.title()}: {response}")
    
    # Show conversation summary
    print("\n4. 📊 Conversation Analysis:")
    summary = ai.get_conversation_summary(session)
    print(f"   Total messages: {summary['message_count']}")
    print(f"   Topics discussed: {', '.join(summary['topics_discussed']) if summary['topics_discussed'] else 'None identified'}")
    print(f"   Session duration: {summary['duration']}")
    
    print("\n" + "=" * 50)
    print("🎉 Demo completed! The AI system is ready for use.")
    print("Run 'python conversational_ai.py' for full interactive mode.")
    print("=" * 50)


def feature_showcase():
    """Showcase specific AI capabilities"""
    print("\n🎪 AI CAPABILITIES SHOWCASE")
    print("=" * 40)
    
    ai = IntelligentConversationalAI()
    session = ai.create_conversation()
    
    # Emotional Intelligence
    print("\n💝 Emotional Intelligence:")
    emotional_inputs = [
        "I'm feeling really excited about learning AI!",
        "I'm a bit worried about my project.",
        "This makes me happy!"
    ]
    
    for emotion in emotional_inputs:
        response = ai.process_message(session, emotion)
        print(f"   User: {emotion}")
        print(f"   AI: {response}")
        print()
    
    # Knowledge Integration
    print("\n📚 Knowledge Integration:")
    knowledge_queries = [
        "Tell me about artificial intelligence.",
        "How does machine learning work?",
        "What's the difference between AI and machine learning?"
    ]
    
    for query in knowledge_queries:
        response = ai.process_message(session, query)
        print(f"   Question: {query}")
        print(f"   AI: {response}")
        print()
    
    # Adaptive Responses
    print("\n🔄 Adaptive Responses:")
    adaptive_inputs = [
        "That's a complex topic.",
        "I disagree with that point.",
        "That's exactly what I was thinking!"
    ]
    
    for adaptive in adaptive_inputs:
        response = ai.process_message(session, adaptive)
        print(f"   User: {adaptive}")
        print(f"   AI: {response}")
        print()


if __name__ == "__main__":
    print("Choose demo type:")
    print("1. Quick Demo (Core Features)")
    print("2. Full Showcase (All Capabilities)")
    print("3. Exit")
    
    while True:
        try:
            choice = input("\nSelect option (1-3): ").strip()
            
            if choice == "1":
                quick_demo()
                break
            elif choice == "2":
                quick_demo()
                print("\n")
                feature_showcase()
                break
            elif choice == "3":
                print("Goodbye! 👋")
                break
            else:
                print("Invalid choice. Please select 1, 2, or 3.")
                
        except KeyboardInterrupt:
            print("\n\nGoodbye! 👋")
            break