Phase 1: Communications Module - Complete

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

backend/core/database.py

@@ -0,0 +1,35 @@
+"""
+Database Configuration
+"""
+
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+from sqlalchemy.pool import StaticPool
+import os
+
+# Database URL from environment
+DATABASE_URL = os.getenv(
+    "DATABASE_URL",
+    "postgresql://grimlock:grimlock@localhost:5432/grimlock"
+)
+
+# Create engine
+engine = create_engine(
+    DATABASE_URL,
+    echo=os.getenv("DEBUG", "false").lower() == "true",
+    pool_pre_ping=True,
+    pool_size=10,
+    max_overflow=20
+)
+
+# Session factory
+SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+
+# Dependency to get DB session
+def get_db():
+    """FastAPI dependency for database sessions"""
+    db = SessionLocal()
+    try:
+        yield db
+    finally:
+        db.close()