d7ad321176
This comprehensive implementation includes: - FastAPI backend with MCP server integration - React/TypeScript frontend with Vite - PostgreSQL database with Redis caching - Grafana/Prometheus monitoring stack - Docker Compose orchestration - Full MCP protocol support for Claude Code integration Features: - Agent discovery and management across network - Visual workflow editor and execution engine - Real-time task coordination and monitoring - Multi-model support with specialized agents - Distributed development task allocation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
19 lines
591 B
Python
19 lines
591 B
Python
from sqlalchemy import create_engine
|
|
from sqlalchemy.ext.declarative import declarative_base
|
|
from sqlalchemy.orm import sessionmaker
|
|
import os
|
|
|
|
# Use SQLite for development to avoid PostgreSQL dependency issues
|
|
DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./hive.db")
|
|
|
|
engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False} if "sqlite" in DATABASE_URL else {})
|
|
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
|
|
|
|
Base = declarative_base()
|
|
|
|
def get_db():
|
|
db = SessionLocal()
|
|
try:
|
|
yield db
|
|
finally:
|
|
db.close() |