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Mads Kiilerich

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'.

import logging
import datetime

from sqlalchemy import *
from sqlalchemy.exc import DatabaseError
from sqlalchemy.orm import relation, backref, class_mapper, joinedload
from sqlalchemy.orm.session import Session
from sqlalchemy.ext.declarative import declarative_base

from rhodecode.lib.dbmigrate.migrate import *
from rhodecode.lib.dbmigrate.migrate.changeset import *

from rhodecode.model.meta import Base
from rhodecode.model import meta

log = logging.getLogger(__name__)


def upgrade(migrate_engine):
    """
    Upgrade operations go here.
    Don't create your own engine; bind migrate_engine to your metadata
    """
    pass

def downgrade(migrate_engine):
    meta = MetaData()
    meta.bind = migrate_engine