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import itertools
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import contextlib
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import logging
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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 sqlalchemy import create_engine
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from website import settings
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class Row(dict):
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"""A dict that allows for object-like property access syntax."""
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def __getattr__(self, name):
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try:
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return self[name]
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except KeyError:
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raise AttributeError(name)
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def to_json_list(cursor):
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column_names = list(cursor.keys())
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result = cursor.fetchall()
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if not result:
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return None
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return [Row(itertools.zip_longest(column_names, row)) for row in result]
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def to_json(cursor):
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column_names = list(cursor.keys())
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result = cursor.fetchone()
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if not result:
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return None
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return Row(itertools.zip_longest(column_names, result))
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app_engine = create_engine(
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'mysql+pymysql://{}:{}@{}/{}?charset=utf8mb4'.format(
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settings.mysql_app['user'],
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settings.mysql_app['password'],
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settings.mysql_app['host'],
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settings.mysql_app['database']
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), # SQLAlchemy 数据库连接串，格式见下面
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echo=bool(settings.SQLALCHEMY_ECHO), # 是不是要把所执行的SQL打印出来，一般用于调试
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# pool_pre_ping=True,
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# pool_size=int(settings.SQLALCHEMY_POOL_SIZE), # 连接池大小
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# max_overflow=int(settings.SQLALCHEMY_POOL_MAX_SIZE), # 连接池最大的大小
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# pool_recycle=int(settings.SQLALCHEMY_POOL_RECYCLE), # 多久时间回收连接
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)
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# Session = sessionmaker(bind=engine)
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# Base = declarative_base(engine)
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#
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#
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# @contextlib.contextmanager
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# def get_session():
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# s = Session()
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# try:
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# yield s
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# s.commit()
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# except Exception as e:
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# s.rollback()
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# raise e
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# finally:
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# s.close()
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