glance/glance/db/sqlalchemy/migrate_repo/versions/029_location_meta_data_pick...

76 lines
2.6 KiB
Python

# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 Rackspace Hosting
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import json
import pickle
import sqlalchemy
from sqlalchemy import MetaData, Table, Column # noqa
from glance.db.sqlalchemy import models
def upgrade(migrate_engine):
meta = sqlalchemy.schema.MetaData(migrate_engine)
image_locations = Table('image_locations', meta, autoload=True)
new_meta_data = Column('storage_meta_data', models.JSONEncodedDict,
default={})
new_meta_data.create(image_locations)
noe = pickle.dumps({})
s = sqlalchemy.sql.select([image_locations]).\
where(image_locations.c.meta_data != noe)
conn = migrate_engine.connect()
res = conn.execute(s)
for row in res:
meta_data = row['meta_data']
x = pickle.loads(meta_data)
if x != {}:
stmt = image_locations.update().\
where(image_locations.c.id == row['id']).\
values(storage_meta_data=x)
conn.execute(stmt)
conn.close()
image_locations.columns['meta_data'].drop()
image_locations.columns['storage_meta_data'].alter(name='meta_data')
def downgrade(migrate_engine):
meta = sqlalchemy.schema.MetaData(migrate_engine)
image_locations = Table('image_locations', meta, autoload=True)
old_meta_data = Column('old_meta_data', sqlalchemy.PickleType(),
default={})
old_meta_data.create(image_locations)
noj = json.dumps({})
s = sqlalchemy.sql.select([image_locations]).\
where(image_locations.c.meta_data != noj)
conn = migrate_engine.connect()
res = conn.execute(s)
for row in res:
x = row['meta_data']
meta_data = json.loads(x)
if meta_data != {}:
stmt = image_locations.update().\
where(image_locations.c.id == row['id']).\
values(old_meta_data=meta_data)
conn.execute(stmt)
conn.close()
image_locations.columns['meta_data'].drop()
image_locations.columns['old_meta_data'].alter(name='meta_data')