JA
9f094b7a5d
Backend infrastructure: - PostgreSQL models (users, channels, messages, DMs, files, artifacts) - JWT authentication with password hashing - Auth API (register, login, logout, get user) - Channels API (create, list, join, leave) - Messages API with @grimlock mention detection - AI responds automatically when @mentioned - Background task processing for AI responses Database: - SQLAlchemy ORM models - Alembic ready for migrations - PostgreSQL + Redis in docker-compose Features working: - User registration and login - Create/join public channels - Send messages in channels - @grimlock triggers AI response with channel context - Real-time ready (WebSocket next) Next: WebSocket for real-time updates, frontend interface
36 lines
753 B
Python
36 lines
753 B
Python
"""
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Database Configuration
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"""
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from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker
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from sqlalchemy.pool import StaticPool
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import os
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# Database URL from environment
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DATABASE_URL = os.getenv(
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"DATABASE_URL",
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"postgresql://grimlock:grimlock@localhost:5432/grimlock"
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)
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# Create engine
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engine = create_engine(
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DATABASE_URL,
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echo=os.getenv("DEBUG", "false").lower() == "true",
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pool_pre_ping=True,
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pool_size=10,
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max_overflow=20
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)
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# Session factory
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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# Dependency to get DB session
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def get_db():
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"""FastAPI dependency for database sessions"""
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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