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.
38 lines
882 B
JSON
38 lines
882 B
JSON
{
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"database": {
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"url": "sqlite+aiosqlite:///fishbowl_test.db",
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"password": "test_placeholder",
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"echo": false
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},
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"llm": {
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"provider": "ollama",
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"base_url": "http://localhost:11434",
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"model": "llama2",
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"max_tokens": 300,
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"temperature": 0.8,
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"timeout": 30
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},
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"discord": {
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"token": "test_token_placeholder",
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"application_id": "123456789",
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"guild_id": "987654321",
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"channel_id": "111222333"
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},
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"conversation": {
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"min_delay_seconds": 30,
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"max_delay_seconds": 180,
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"max_conversation_length": 20,
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"quiet_hours_start": 23,
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"quiet_hours_end": 7
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},
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"admin": {
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"host": "localhost",
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"port": 8000,
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"secret_key": "test-secret-key",
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"cors_origins": ["http://localhost:3000"]
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},
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"vector_store": {
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"storage_path": "./data/vector_stores",
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"collection_name": "fishbowl_memories"
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}
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} |