Initial commit: Complete Hive distributed AI orchestration platform
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>
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backend/app/core/database.py
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19
backend/app/core/database.py
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from sqlalchemy import create_engine
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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import os
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# Use SQLite for development to avoid PostgreSQL dependency issues
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DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./hive.db")
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engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False} if "sqlite" in DATABASE_URL else {})
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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def get_db():
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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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