93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
# Copyright 2013 Rackspace
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from sqlalchemy.schema import (Column, ForeignKey, MetaData, Table)
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from glance.db.sqlalchemy.migrate_repo.schema import (String,
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Text,
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create_tables,
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drop_tables) # noqa
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TASKS_MIGRATE_COLUMNS = ['input', 'message', 'result']
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def define_task_info_table(meta):
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Table('tasks', meta, autoload=True)
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# NOTE(nikhil): input and result are stored as text in the DB.
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# SQLAlchemy marshals the data to/from JSON using custom type
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# JSONEncodedDict. It uses simplejson underneath.
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task_info = Table('task_info',
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meta,
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Column('task_id', String(36),
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ForeignKey('tasks.id'),
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primary_key=True,
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nullable=False),
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Column('input', Text()),
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Column('result', Text()),
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Column('message', Text()),
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mysql_engine='InnoDB')
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return task_info
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def upgrade(migrate_engine):
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meta = MetaData()
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meta.bind = migrate_engine
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tables = [define_task_info_table(meta)]
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create_tables(tables)
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tasks_table = Table('tasks', meta, autoload=True)
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task_info_table = Table('task_info', meta, autoload=True)
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tasks = tasks_table.select().execute().fetchall()
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for task in tasks:
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values = {
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'task_id': task.id,
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'input': task.input,
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'result': task.result,
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'message': task.message,
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}
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task_info_table.insert(values=values).execute()
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for col_name in TASKS_MIGRATE_COLUMNS:
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tasks_table.columns[col_name].drop()
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def downgrade(migrate_engine):
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meta = MetaData()
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meta.bind = migrate_engine
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tasks_table = Table('tasks', meta, autoload=True)
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task_info_table = Table('task_info', meta, autoload=True)
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for col_name in TASKS_MIGRATE_COLUMNS:
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column = Column(col_name, Text())
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column.create(tasks_table)
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task_info_records = task_info_table.select().execute().fetchall()
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for task_info in task_info_records:
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values = {
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'input': task_info.input,
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'result': task_info.result,
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'message': task_info.message
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}
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tasks_table.update(values=values).where(
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tasks_table.c.id == task_info.task_id).execute()
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drop_tables([task_info_table])
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