99 lines
2.7 KiB
Python
99 lines
2.7 KiB
Python
# 创建连接相关
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from sqlalchemy import create_engine, text
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from sqlalchemy.orm import sessionmaker
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from urllib.parse import quote_plus as urlquote
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from const import sparkatp_sql_uri
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from logger import logger
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_ENGINE_CACHE = {}
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"""
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sql操作：
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排序：order_by(ChartsName.column.desc()/asc())
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limit: .offset(n)过滤前面n条数据 .limit(n)
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count: .count()计数
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是否存在：is_exist = session.query(exists().where(Book.id > 10)).scalar()
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or: .filter(or_(Chart.column == x, Chart.column > y)).all()
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one: .one()只获取一条，如不存在或存在多条都会报错
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first: 通过主键获取记录 filter(**).first()
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"""
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class SqlSession:
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def __init__(self, sql_uri=sparkatp_sql_uri):
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self.sql_uri = sql_uri
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self._session = self.get_session()
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@staticmethod
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def build_postgres_uri(host, port, user, password, database):
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return f"postgresql+psycopg2://{user}:{urlquote(str(password))}@{host}:{port}/{database}"
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def get_session(self):
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engine = _ENGINE_CACHE.get(self.sql_uri)
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if engine is None:
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engine = create_engine(
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self.sql_uri,
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pool_size=5,
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max_overflow=10,
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pool_pre_ping=True,
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pool_recycle=1800,
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pool_timeout=30,
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connect_args={
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'connect_timeout': 20,
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'options': '-c timezone=Asia/Shanghai'
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}
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)
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_ENGINE_CACHE[self.sql_uri] = engine
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Session = sessionmaker(bind=engine)
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session = Session()
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return session
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def query(self, obj):
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return self._session.query(obj)
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def add(self, added):
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self._session.add(added)
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def add_all(self, added_list):
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if isinstance(added_list, list):
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self._session.add_all(added_list)
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else:
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logger.warning('只能传递list')
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def flush(self):
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self._session.flush()
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def commit(self):
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self._session.commit()
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def close(self):
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self._session.close()
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def execute(self, sql):
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return self._session.execute(text(sql))
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def done(self, close=True):
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"""
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执行完插入、删除、修改等操作后执行done，如报错回滚本次事务的sql操作
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:return:
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"""
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try:
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self.commit()
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if close:
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self.close()
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except Exception as e:
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logger.warning(e)
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self._session.rollback()
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return e
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@property
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def session(self):
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return self._session
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def to_dict(self):
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return {c.name: getattr(self, c.name, None) for c in self.__table__.columns}
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