d7e64737b7
從 Docker/macOS+Conda 部署遷移到 WSL2 Ubuntu 原生開發環境 主要變更： - 移除所有 Docker 相關配置檔案 (Dockerfile, docker-compose.yml, .dockerignore 等) - 移除 macOS/Conda 設置腳本 (SETUP.md, setup_conda.sh) - 新增 WSL Ubuntu 自動化環境設置腳本 (setup_dev_env.sh) - 新增後端/前端快速啟動腳本 (start_backend.sh, start_frontend.sh) - 統一開發端口配置 (backend: 8000, frontend: 5173) - 改進資料庫連接穩定性（連接池、超時設置、重試機制） - 更新專案文檔以反映當前 WSL 開發環境 Technical improvements: - Database connection pooling with health checks and auto-reconnection - Retry logic for long-running OCR tasks to prevent DB timeouts - Extended JWT token expiration to 24 hours - Support for Office documents (pptx, docx) via LibreOffice headless - Comprehensive system dependency installation in single script Environment: - OS: WSL2 Ubuntu 24.04 - Python: 3.12 (venv) - Node.js: 24.x LTS (nvm) - Backend Port: 8000 - Frontend Port: 5173 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
"""
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Tool_OCR - Database Connection Management
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SQLAlchemy setup with async support
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"""
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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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from app.core.config import settings
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# Create database engine
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engine = create_engine(
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settings.database_url,
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pool_pre_ping=True, # Enable connection health checks
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pool_size=10,
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max_overflow=20,
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pool_recycle=3600, # Recycle connections every hour
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pool_timeout=30, # Connection timeout
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connect_args={
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'connect_timeout': 10,
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'read_timeout': 30,
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'write_timeout': 30,
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},
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echo=False, # Set to True for SQL query logging
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)
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# Create session factory
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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# Base class for all models
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Base = declarative_base()
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# Dependency to get database session
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def get_db():
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"""
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Database session dependency for FastAPI endpoints
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Usage:
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@app.get("/endpoint")
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def endpoint(db: Session = Depends(get_db)):
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# Use db session here
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"""
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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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