Mailspring/internal_packages/quick-schedule/backend/session.py

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2015-10-03 07:06:56 +08:00
from contextlib import contextmanager
from sqlalchemy.orm.session import Session
from sqlalchemy import create_engine
import os
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cached_engine = None
def new_engine(database="quickschedule"):
db_url = os.environ['CLEARDB_DATABASE_URL']
if db_url:
uri = 'mysql+pymysql'+db_url[5:].split('?')[0]
else:
uri_template = ("mysql+pymysql://{username}:{password}@{host}:"
"{port}/{database}")
uri = uri_template.format(username="root",
password="root",
host="localhost",
port=3307,
database=database if database else '')
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return create_engine(uri,
isolation_level='READ COMMITTED',
echo=False,
connect_args={'charset': 'utf8mb4'})
def new_session(engine, versioned=True):
"""Returns a session bound to the given engine."""
session = Session(bind=engine, autoflush=True, autocommit=False)
return session
@contextmanager
def session_scope(debug=False):
"""
Provide a transactional scope around a series of operations.
Takes care of rolling back failed transactions and closing the session
when it goes out of scope.
Note that sqlalchemy automatically starts a new database transaction when
the session is created, and restarts a new transaction after every commit()
on the session. Your database backend's transaction semantics are important
here when reasoning about concurrency.
Parameters
----------
versioned : bool
Do you want to enable the transaction log?
debug : bool
Do you want to turn on SQL echoing? Use with caution. Engine is not
cached in this case!
Yields
------
Session
The created session.
"""
global cached_engine
if cached_engine is None:
cached_engine = new_engine()
# log.info("Don't yet have engine... creating default from ignition",
# engine=id(cached_engine))
session = new_session(cached_engine)
try:
yield session
session.commit()
except BaseException as exc:
session.rollback()
print exc
raise
finally:
session.close()