knowledge-agent/database/db.py

from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, declarative_base
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
import os
from dotenv import load_dotenv

# 加载环境变量
load_dotenv()

# 数据库连接配置
DATABASE_URL = os.getenv(
    "DATABASE_URL", 
    "mysql+pymysql://wqsd:wqsd%402025@knowledge.rwlb.rds.aliyuncs.com:3306/ai_knowledge?charset=utf8&connect_timeout=60&read_timeout=300&write_timeout=300"
)

# 创建同步引擎和会话
engine = create_engine(
    DATABASE_URL,
    pool_size=10,
    max_overflow=20,
    pool_timeout=60,  # 增加池连接超时时间
    pool_recycle=1800,  # 减少连接回收时间，单位为秒，防止连接长时间占用
    pool_pre_ping=True,  # 添加连接前ping测试，确保连接有效
    echo=False,  # 设为True可查看SQL日志
    connect_args={
        "connect_timeout": 60,  # 连接超时时间
        "read_timeout": 300,  # 读取超时时间
        "write_timeout": 300,  # 写入超时时间
    }
)

SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# 声明基类
Base = declarative_base()

# 获取数据库会话的依赖函数
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()