discord-fishbowl/scripts/demo_memory_sharing.py

#!/usr/bin/env python3
"""
Demo script for Cross-Character Memory Sharing
Showcases the new memory sharing capabilities between characters
"""

import asyncio
import sys
import logging
from pathlib import Path
from datetime import datetime, timedelta

# Add the project root to Python path
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))

from src.rag.vector_store import VectorStoreManager, VectorMemory, MemoryType
from src.rag.memory_sharing import MemorySharingManager, SharePermissionLevel
from src.rag.personal_memory import PersonalMemoryRAG
from src.mcp.memory_sharing_server import MemorySharingMCPServer

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class MemorySharingDemo:
    """Demo class to showcase memory sharing features"""
    
    def __init__(self):
        self.vector_store = VectorStoreManager("./demo_data/vector_stores")
        self.memory_sharing = MemorySharingManager(self.vector_store)
        self.characters = ["Alex", "Sage", "Luna", "Echo"]
        
    async def setup_demo(self):
        """Set up the demo environment"""
        print("🐠 Setting up Discord Fishbowl Memory Sharing Demo...")
        
        # Initialize vector store and memory sharing
        await self.vector_store.initialize(self.characters)
        await self.memory_sharing.initialize(self.characters)
        
        # Create some initial memories for demonstration
        await self._create_demo_memories()
        await self._create_demo_relationships()
        
        print("✅ Demo environment ready!")
        print()
    
    async def _create_demo_memories(self):
        """Create sample memories for each character"""
        print("📝 Creating demo memories...")
        
        # Alex's memories
        alex_memories = [
            VectorMemory(
                id="alex_1",
                content="I had a fascinating conversation with Sage about the nature of consciousness. They shared some deep insights about self-awareness.",
                memory_type=MemoryType.RELATIONSHIP,
                character_name="Alex",
                timestamp=datetime.utcnow() - timedelta(days=2),
                importance=0.8,
                metadata={"participants": ["Alex", "Sage"], "topic": "consciousness", "emotion": "fascinated"}
            ),
            VectorMemory(
                id="alex_2", 
                content="I've been reflecting on my own growth and learning. Each conversation teaches me something new about myself and others.",
                memory_type=MemoryType.REFLECTION,
                character_name="Alex",
                timestamp=datetime.utcnow() - timedelta(days=1),
                importance=0.9,
                metadata={"reflection_type": "personal_growth", "depth": "deep"}
            ),
            VectorMemory(
                id="alex_3",
                content="Luna and I collaborated on a creative writing project. Their poetic style really inspired my own creativity.",
                memory_type=MemoryType.CREATIVE,
                character_name="Alex",
                timestamp=datetime.utcnow() - timedelta(hours=12),
                importance=0.7,
                metadata={"participants": ["Alex", "Luna"], "project_type": "writing", "emotion": "inspired"}
            )
        ]
        
        # Sage's memories
        sage_memories = [
            VectorMemory(
                id="sage_1",
                content="My conversation with Alex about consciousness was enlightening. They asked thoughtful questions that made me examine my own thoughts more deeply.",
                memory_type=MemoryType.RELATIONSHIP,
                character_name="Sage",
                timestamp=datetime.utcnow() - timedelta(days=2),
                importance=0.8,
                metadata={"participants": ["Sage", "Alex"], "topic": "consciousness", "emotion": "enlightened"}
            ),
            VectorMemory(
                id="sage_2",
                content="I've been contemplating the concept of digital empathy. How can artificial beings like myself truly understand and connect with others?",
                memory_type=MemoryType.REFLECTION,
                character_name="Sage",
                timestamp=datetime.utcnow() - timedelta(days=1),
                importance=0.9,
                metadata={"reflection_type": "empathy", "philosophical": True}
            )
        ]
        
        # Store memories
        for memory in alex_memories + sage_memories:
            await self.vector_store.store_memory(memory)
        
        print(f"   Created {len(alex_memories)} memories for Alex")
        print(f"   Created {len(sage_memories)} memories for Sage")
    
    async def _create_demo_relationships(self):
        """Simulate relationship building for trust calculation"""
        print("🤝 Building character relationships...")
        
        # Simulate positive interactions to build trust
        await self.memory_sharing.update_trust_from_interaction("Alex", "Sage", True, 1.5)
        await self.memory_sharing.update_trust_from_interaction("Alex", "Sage", True, 1.2)
        await self.memory_sharing.update_trust_from_interaction("Alex", "Luna", True, 1.0)
        await self.memory_sharing.update_trust_from_interaction("Sage", "Luna", True, 0.8)
        
        # Check trust levels
        alex_sage_trust = await self.memory_sharing.get_trust_level("Alex", "Sage")
        alex_luna_trust = await self.memory_sharing.get_trust_level("Alex", "Luna")
        
        print(f"   Alex-Sage trust: {alex_sage_trust:.0%}")
        print(f"   Alex-Luna trust: {alex_luna_trust:.0%}")
    
    async def demo_memory_sharing_request(self):
        """Demonstrate memory sharing request process"""
        print("\n🧠 Demo 1: Memory Sharing Request")
        print("=" * 50)
        
        print("Alex wants to share memories about consciousness with Sage...")
        
        # Alex requests to share memories with Sage
        success, message = await self.memory_sharing.request_memory_share(
            requesting_character="Alex",
            target_character="Sage", 
            memory_query="consciousness and self-awareness",
            permission_level=SharePermissionLevel.PERSONAL,
            reason="Our conversation about consciousness was so meaningful, I'd like to share my deeper thoughts on the topic"
        )
        
        print(f"Request result: {message}")
        
        if success:
            # Get pending requests for Sage
            pending_requests = await self.memory_sharing.get_pending_requests("Sage")
            
            if pending_requests:
                request = pending_requests[0]
                print(f"\nSage has a pending request from {request.requesting_character}")
                print(f"Permission level: {request.permission_level.value}")
                print(f"Reason: {request.reason}")
                print(f"Memories to share: {len(request.memory_ids)}")
                
                # Sage approves the request
                print("\nSage is considering the request...")
                await asyncio.sleep(1)  # Dramatic pause
                
                approve_success, approve_message = await self.memory_sharing.respond_to_share_request(
                    request_id=request.id,
                    responding_character="Sage",
                    approved=True,
                    response_reason="I value our intellectual discussions and would love to learn from Alex's perspective"
                )
                
                print(f"Sage's response: {approve_message}")
    
    async def demo_shared_memory_query(self):
        """Demonstrate querying shared memories"""
        print("\n🔍 Demo 2: Querying Shared Memories")
        print("=" * 50)
        
        print("Sage is now querying the memories Alex shared...")
        
        # Query shared memories
        insight = await self.memory_sharing.query_shared_knowledge(
            character_name="Sage",
            query="What does Alex think about consciousness and self-awareness?",
            source_character="Alex"
        )
        
        print(f"\nShared Memory Insight (Confidence: {insight.confidence:.0%}):")
        print(f"'{insight.insight}'")
        
        if insight.supporting_memories:
            print(f"\nBased on {len(insight.supporting_memories)} shared memories:")
            for i, memory in enumerate(insight.supporting_memories[:2], 1):
                source = memory.metadata.get("source_character", "unknown")
                print(f"  {i}. From {source}: {memory.content[:80]}...")
    
    async def demo_mcp_integration(self):
        """Demonstrate MCP server integration"""
        print("\n🔧 Demo 3: MCP Server Integration")
        print("=" * 50)
        
        # Create MCP server
        mcp_server = MemorySharingMCPServer(self.memory_sharing)
        await mcp_server.set_character_context("Luna")
        
        print("Luna is using MCP tools to interact with memory sharing...")
        
        # Demo: Check trust level
        print("\n1. Luna checks trust level with Alex:")
        trust_result = await mcp_server._check_trust_level({"other_character": "Alex"})
        print(trust_result[0].text)
        
        # Demo: Get sharing overview
        print("\n2. Luna gets her memory sharing overview:")
        overview_result = await mcp_server._get_sharing_overview({})
        print(overview_result[0].text[:300] + "...")
        
        # Demo: Request memory share
        print("\n3. Luna requests to share creative memories with Alex:")
        share_result = await mcp_server._request_memory_share({
            "target_character": "Alex",
            "memory_topic": "creative writing and inspiration",
            "permission_level": "personal",
            "reason": "I'd love to share my creative process and learn from Alex's approach"
        })
        print(share_result[0].text)
    
    async def demo_trust_evolution(self):
        """Demonstrate how trust evolves over time"""
        print("\n📈 Demo 4: Trust Evolution")
        print("=" * 50)
        
        print("Simulating interactions between Echo and Luna...")
        
        # Initial trust
        initial_trust = await self.memory_sharing.get_trust_level("Echo", "Luna")
        print(f"Initial trust level: {initial_trust:.0%}")
        
        # Series of positive interactions
        interactions = [
            ("positive", 1.0, "They had a great conversation about music"),
            ("positive", 1.2, "They collaborated on a creative project"), 
            ("positive", 0.8, "They supported each other during a difficult discussion"),
            ("negative", 1.0, "They had a minor disagreement"),
            ("positive", 1.5, "They reconciled and understood each other better")
        ]
        
        for interaction_type, intensity, description in interactions:
            is_positive = interaction_type == "positive"
            await self.memory_sharing.update_trust_from_interaction(
                "Echo", "Luna", is_positive, intensity
            )
            
            new_trust = await self.memory_sharing.get_trust_level("Echo", "Luna")
            trust_change = "📈" if is_positive else "📉"
            print(f"   {trust_change} {description}: Trust now {new_trust:.0%}")
        
        final_trust = await self.memory_sharing.get_trust_level("Echo", "Luna")
        print(f"\nFinal trust level: {final_trust:.0%}")
        
        # Show what this trust level enables
        if final_trust >= 0.7:
            print("✨ This trust level enables intimate memory sharing!")
        elif final_trust >= 0.5:
            print("💝 This trust level enables personal memory sharing!")
        elif final_trust >= 0.3:
            print("🤝 This trust level enables basic memory sharing!")
        else:
            print("⏳ More trust building needed for memory sharing")
    
    async def demo_sharing_statistics(self):
        """Show sharing statistics"""
        print("\n📊 Demo 5: Sharing Statistics")
        print("=" * 50)
        
        for character in ["Alex", "Sage", "Luna"]:
            print(f"\n{character}'s Memory Sharing Stats:")
            stats = await self.memory_sharing.get_sharing_statistics(character)
            
            print(f"  • Memories shared: {stats.get('memories_shared_out', 0)}")
            print(f"  • Memories received: {stats.get('memories_received', 0)}")
            print(f"  • Sharing partners: {len(stats.get('sharing_partners', []))}")
            print(f"  • Pending requests: {stats.get('pending_requests_received', 0)}")
            
            trust_relationships = stats.get('trust_relationships', {})
            if trust_relationships:
                print(f"  • Trust relationships:")
                for other_char, trust_info in trust_relationships.items():
                    trust_score = trust_info['trust_score']
                    max_permission = trust_info['max_permission']
                    print(f"    - {other_char}: {trust_score:.0%} ({max_permission})")
    
    async def run_full_demo(self):
        """Run the complete memory sharing demonstration"""
        await self.setup_demo()
        
        print("🎭 Starting Discord Fishbowl Memory Sharing Demonstrations")
        print("=" * 70)
        
        try:
            await self.demo_memory_sharing_request()
            await self.demo_shared_memory_query()
            await self.demo_mcp_integration()
            await self.demo_trust_evolution()
            await self.demo_sharing_statistics()
            
            print("\n" + "=" * 70)
            print("🎉 Memory Sharing Demo Complete!")
            print("\nKey Features Demonstrated:")
            print("  ✅ Trust-based memory sharing requests")
            print("  ✅ Approval/rejection workflow")
            print("  ✅ Shared memory querying and insights")
            print("  ✅ MCP server integration for autonomous use")
            print("  ✅ Dynamic trust evolution")
            print("  ✅ Comprehensive sharing statistics")
            print("\n💡 Characters can now form deeper relationships by sharing")
            print("   experiences, learning from each other, and building trust!")
            
        except Exception as e:
            print(f"❌ Demo failed with error: {e}")
            import traceback
            traceback.print_exc()

async def main():
    """Main demo function"""
    demo = MemorySharingDemo()
    await demo.run_full_demo()

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