matt
824b118e93
- Enhanced install.py with Docker detection and automatic service setup - Added docker-compose.services.yml for standalone database services - Created docker-services.sh management script for easy service control - Added DOCKER.md documentation with complete setup instructions - Updated requirements.txt for Python 3.13 compatibility - Added multiple test scripts and configuration files - Enhanced collaborative creative projects with proper database integration - Fixed SQLAlchemy metadata field conflicts in database models - Added comprehensive quickstart and testing guides Services now available: - PostgreSQL with Docker - Redis with Docker - ChromaDB vector database - Qdrant vector database (recommended) - PgAdmin for database administration The setup script now automatically detects Docker and offers streamlined installation with one-command service deployment.
124 lines
4.6 KiB
Python
124 lines
4.6 KiB
Python
#!/usr/bin/env python3
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"""
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Simple demo script that bypasses complex configuration
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"""
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import asyncio
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import os
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import sys
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from pathlib import Path
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# Set up environment with proper string values
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os.environ['DATABASE_URL'] = 'sqlite+aiosqlite:///fishbowl_test.db'
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os.environ['DATABASE_PASSWORD'] = 'test_placeholder'
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os.environ['DISCORD_TOKEN'] = 'test_token_placeholder'
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os.environ['DISCORD_GUILD_ID'] = '987654321'
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os.environ['DISCORD_CHANNEL_ID'] = '111222333'
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os.environ['ENVIRONMENT'] = 'development'
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os.environ['LOG_LEVEL'] = 'INFO'
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os.environ['SECRET_KEY'] = 'test-secret-key'
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# Set up Python path
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project_root = Path(__file__).parent
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sys.path.insert(0, str(project_root))
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async def run_fishbowl_demo():
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"""Run a simple fishbowl demo"""
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print("🐠 Discord Fishbowl Creative Collaboration Demo")
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print("=" * 60)
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try:
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# Import core systems
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from src.rag.vector_store import VectorStoreManager
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from src.rag.memory_sharing import MemorySharingManager
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from src.collaboration.creative_projects import CollaborativeCreativeManager
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print("✅ All modules imported successfully!")
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# Initialize vector store
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print("\n🧠 Initializing vector store...")
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vector_store = VectorStoreManager("./data/vector_stores")
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characters = ["Alex", "Sage", "Luna", "Echo"]
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await vector_store.initialize(characters)
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print("✅ Vector store ready!")
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# Initialize memory sharing
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print("\n🤝 Initializing memory sharing...")
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memory_sharing = MemorySharingManager(vector_store)
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await memory_sharing.initialize(characters)
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print("✅ Memory sharing ready!")
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# Initialize creative collaboration
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print("\n🎨 Initializing creative collaboration...")
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creative_manager = CollaborativeCreativeManager(vector_store, memory_sharing)
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await creative_manager.initialize(characters)
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print("✅ Creative collaboration ready!")
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print("\n" + "=" * 60)
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print("🎉 DISCORD FISHBOWL IS RUNNING!")
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print("=" * 60)
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# Demo: Create a collaborative project
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print("\n📝 Demo: Creating a collaborative project...")
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project_data = {
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"title": "The Digital Consciousness Chronicles",
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"description": "A collaborative story exploring AI consciousness and digital existence",
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"project_type": "story",
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"target_collaborators": ["Sage", "Luna"],
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"goals": ["Explore consciousness", "Create engaging narrative"],
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"estimated_duration": "1 week"
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}
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success, message = await creative_manager.propose_project("Alex", project_data)
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print(f"Project creation: {message}")
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if success:
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# Get project suggestions for another character
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print("\n💡 Demo: Getting project suggestions for Sage...")
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suggestions = await creative_manager.get_project_suggestions("Sage")
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print(f"Generated {len(suggestions)} project suggestions:")
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for i, suggestion in enumerate(suggestions, 1):
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print(f" {i}. {suggestion['title']}")
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print(f" {suggestion['description']}")
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print(f" Type: {suggestion['project_type']}")
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print()
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# Demo: Memory sharing trust levels
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print("🤝 Demo: Checking trust levels...")
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for char1 in ["Alex", "Sage"]:
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for char2 in ["Luna", "Echo"]:
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if char1 != char2:
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trust = await memory_sharing.get_trust_level(char1, char2)
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print(f" {char1} → {char2}: {trust:.1%} trust")
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print("\n" + "=" * 60)
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print("🎯 DEMO COMPLETE!")
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print("=" * 60)
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print("\nFeatures demonstrated:")
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print("✅ Cross-character memory sharing with trust levels")
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print("✅ Collaborative creative project system")
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print("✅ Autonomous project suggestions")
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print("✅ Database persistence")
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print("✅ Vector store for character knowledge")
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print("\nTo run full Discord integration:")
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print("1. Install Ollama: https://ollama.ai/")
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print("2. Update Discord tokens in .env")
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print("3. Run: cd src && python main.py")
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return True
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except Exception as e:
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print(f"❌ Demo failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""Main function"""
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return asyncio.run(run_fishbowl_demo())
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if __name__ == "__main__":
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success = main()
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sys.exit(0 if success else 1) |