73 lines
2.7 KiB
Python
73 lines
2.7 KiB
Python
# Copyright 2014 OpenStack Foundation
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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 oslo_log import log as logging
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from glance.i18n import _LE
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LOG = logging.getLogger(__name__)
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class TaskExecutor(object):
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"""Base class for Asynchronous task executors. It does not support the
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execution mechanism.
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Provisions the extensible classes with necessary variables to utilize
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important Glance modules like, context, task_repo, image_repo,
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image_factory.
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Note:
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It also gives abstraction for the standard pre-processing and
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post-processing operations to be executed by a task. These may include
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validation checks, security checks, introspection, error handling etc.
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The aim is to give developers an abstract sense of the execution
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pipeline logic.
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Args:
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context: glance.context.RequestContext object for AuthZ and AuthN
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checks
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task_repo: glance.db.TaskRepo object which acts as a translator for
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glance.domain.Task and glance.domain.TaskStub objects
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into ORM semantics
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image_repo: glance.db.ImageRepo object which acts as a translator for
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glance.domain.Image object into ORM semantics
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image_factory: glance.domain.ImageFactory object to be used for
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creating new images for certain types of tasks viz. import, cloning
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"""
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def __init__(self, context, task_repo, image_repo, image_factory):
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self.context = context
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self.task_repo = task_repo
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self.image_repo = image_repo
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self.image_factory = image_factory
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def begin_processing(self, task_id):
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task = self.task_repo.get(task_id)
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task.begin_processing()
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self.task_repo.save(task)
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# start running
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self._run(task_id, task.type)
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def _run(self, task_id, task_type):
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task = self.task_repo.get(task_id)
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msg = _LE("This execution of Tasks is not setup. Please consult the "
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"project documentation for more information on the "
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"executors available.")
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LOG.error(msg)
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task.fail(_LE("Internal error occurred while trying to process task."))
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self.task_repo.save(task)
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