90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
# -*- coding: utf-8 -*-
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# @version : 1.0
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# @Creaet Time : 2021/10/18 22:19
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# @File : database.py
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# @IDE : PyCharm
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# @desc : SQLAlchemy 部分
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"""
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导入 SQLAlchemy 部分
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安装： pip install sqlalchemy
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中文文档：https://www.osgeo.cn/sqlalchemy/
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"""
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from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
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from sqlalchemy.ext.declarative import declared_attr, declarative_base
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from sqlalchemy.orm import sessionmaker
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from application.settings import SQLALCHEMY_DATABASE_URL, DEBUG, SQLALCHEMY_DATABASE_TYPE
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def create_async_engine_session(database_url: str, database_type: str = "mysql"):
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"""
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创建数据库会话
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相关配置文档：https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls
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database_url dialect+driver://username:password@host:port/database
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max_overflow 超过连接池大小外最多创建的连接
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pool_size=5, # 连接池大小
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pool_timeout=20, # 池中没有连接最多等待的时间，否则报错
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pool_recycle=-1 # 多久之后对线程池中的线程进行一次连接的回收（重置）
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:param database_type: 数据库类型
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:param database_url: 数据库地址
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:return:
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"""
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engine = create_async_engine(
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database_url
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, echo=False
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, pool_pre_ping=True
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, pool_recycle=3600
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, future=True
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, max_overflow=5
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, connect_args={"check_same_thread": False, "timeout": 30} if database_type == "sqlite3" else {}
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)
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return sessionmaker(autocommit=False, autoflush=False, bind=engine, expire_on_commit=True, class_=AsyncSession)
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class Base:
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"""将表名改为小写"""
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@declared_attr
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def __tablename__(self):
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# 如果有自定义表名就取自定义，没有就取小写类名
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table_name = self.__tablename__
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if not table_name:
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model_name = self.__name__
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ls = []
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for index, char in enumerate(model_name):
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if char.isupper() and index != 0:
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ls.append("_")
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ls.append(char)
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table_name = "".join(ls).lower()
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return table_name
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"""
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创建基本映射类
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稍后，我们将继承该类，创建每个 ORM 模型
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"""
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Model = declarative_base(name='Model', cls=Base)
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""" 附上两个SQLAlchemy教程
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Python3+SQLAlchemy+Sqlite3实现ORM教程
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https://www.cnblogs.com/jiangxiaobo/p/12350561.html
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SQLAlchemy基础知识 Autoflush和Autocommit
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https://www.jianshu.com/p/b219c3dd4d1e
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"""
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async def db_getter() -> AsyncSession:
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"""
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获取主数据库
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数据库依赖项，它将在单个请求中使用，然后在请求完成后将其关闭。
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"""
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async with create_async_engine_session(SQLALCHEMY_DATABASE_URL, SQLALCHEMY_DATABASE_TYPE)() as session:
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async with session.begin():
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yield session
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