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follow Python conventions for boolean values...
follow Python conventions for boolean values True and False might be singletons and the "default" values for "boolean" expressions, but "all" values in Python has a boolean value and should be evaluated as such. Checking with 'is True' and 'is False' is thus confusing, error prone and unnessarily complex. If we anywhere rely and nullable boolean fields from the database layer and don't want the null value to be treated as False then we should check explicitly for null with 'is None'.

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meta.py
27 lines | 764 B | text/x-python | PythonLexer
"""SQLAlchemy Metadata and Session object"""
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import scoped_session, sessionmaker
from beaker import cache
from rhodecode.lib import caching_query
# Beaker CacheManager. A home base for cache configurations.
cache_manager = cache.CacheManager()
__all__ = ['Base', 'Session']
#
# SQLAlchemy session manager. Updated by model.init_model()
#
Session = scoped_session(
sessionmaker(
query_cls=caching_query.query_callable(cache_manager),
expire_on_commit=True,
)
)
# The declarative Base
Base = declarative_base()
#to use cache use this in query
#.options(FromCache("sqlalchemy_cache_type", "cachekey"))