dc56ff482a
1. Simplify the exposed api to reduce race conditions which could occur if we allowed flow details, task details and log books to be deleted at different times; reduce this down to just being able to save and delete from logbooks (and only save/update for flow and task details to) to reduce the problem cases. 2. Introduce a alembic migration with a proper schema so that the initial database can be created in the first place, adjust its exposed fields and relations to be defined by said schema. 3. Use oslo db models instead of our own. Change-Id: I78bbedf87d506d3f39157198638937c933235b7b
99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright (C) 2013 Rackspace Hosting Inc. 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 taskflow.openstack.common import uuidutils
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from taskflow.persistence.backends import api as b_api
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class FlowDetail(object):
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"""This class contains an append-only list of task detail entries for a
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given flow along with any metadata associated with that flow.
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The data contained within this class need *not* backed by the backend
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storage in real time. The data in this class will only be guaranteed to be
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persisted when the logbook that contains this flow detail is saved or when
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the save() method is called directly.
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"""
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def __init__(self, name, uuid=None, backend='memory'):
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if uuid:
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self._uuid = uuid
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else:
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self._uuid = uuidutils.generate_uuid()
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self._name = name
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self._taskdetails = []
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self.state = None
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# Any other metadata to include about this flow while storing. For
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# example timing information could be stored here, other misc. flow
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# related items (edge connections)...
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self.meta = None
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self.backend = backend
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def _get_backend(self):
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if not self.backend:
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return None
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return b_api.fetch(self.backend)
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def add(self, td):
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self._taskdetails.append(td)
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# When added the backend that the task details is using will be
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# automatically switched to whatever backend this flow details is
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# using.
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if td.backend != self.backend:
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td.backend = self.backend
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def find(self, td_uuid):
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for self_td in self:
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if self_td.uuid == td_uuid:
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return self_td
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return None
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def save(self):
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"""Saves *most* of the components of this given object.
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This will immediately and atomically save the attributes of this flow
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details object to a backing store providing by the backing api.
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The underlying storage must contain an existing flow details that this
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save operation will merge with and then reflect those changes in this
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object.
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"""
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backend = self._get_backend()
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if not backend:
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raise NotImplementedError("No saving backend provided")
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fd_u = backend.flowdetails_save(self)
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if fd_u is self:
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return
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self.meta = fd_u.meta
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self.state = fd_u.state
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self._taskdetails = fd_u._taskdetails
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@property
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def uuid(self):
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return self._uuid
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@property
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def name(self):
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return self._name
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def __iter__(self):
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for td in self._taskdetails:
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yield td
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def __len__(self):
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return len(self._taskdetails)
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