102 lines
3.0 KiB
Python
102 lines
3.0 KiB
Python
# Copyright 2018 NTT DATA, Inc.
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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_config import cfg
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from taskflow.patterns import linear_flow as lf
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from taskflow import task
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from glance.i18n import _
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CONF = cfg.CONF
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inject_metadata_opts = [
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cfg.ListOpt('ignore_user_roles',
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default='admin',
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help=_("""
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Specify name of user roles to be ignored for injecting metadata
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properties in the image.
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Possible values:
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* List containing user roles. For example: [admin,member]
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""")),
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cfg.DictOpt('inject',
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default={},
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help=_("""
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Dictionary contains metadata properties to be injected in image.
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Possible values:
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* Dictionary containing key/value pairs. Key characters
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length should be <= 255. For example: k1:v1,k2:v2
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""")),
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]
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CONF.register_opts(inject_metadata_opts, group='inject_metadata_properties')
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class _InjectMetadataProperties(task.Task):
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def __init__(self, context, task_id, task_type, image_repo, image_id):
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self.context = context
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self.task_id = task_id
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self.task_type = task_type
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self.image_repo = image_repo
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self.image_id = image_id
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super(_InjectMetadataProperties, self).__init__(
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name='%s-InjectMetadataProperties-%s' % (task_type, task_id))
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def execute(self):
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"""Inject custom metadata properties to image
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:param image_id: Glance Image ID
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"""
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user_roles = self.context.roles
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ignore_user_roles = CONF.inject_metadata_properties.ignore_user_roles
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if not [role for role in user_roles if role in ignore_user_roles]:
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properties = CONF.inject_metadata_properties.inject
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if properties:
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image = self.image_repo.get(self.image_id)
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image.extra_properties.update(properties)
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self.image_repo.save(image)
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def get_flow(**kwargs):
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"""Return task flow for inject_image_metadata.
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:param task_id: Task ID.
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:param task_type: Type of the task.
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:param image_repo: Image repository used.
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:param image_id: Image_ID used.
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:param context: Context used.
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"""
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task_id = kwargs.get('task_id')
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task_type = kwargs.get('task_type')
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image_repo = kwargs.get('image_repo')
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image_id = kwargs.get('image_id')
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context = kwargs.get('context')
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return lf.Flow(task_type).add(
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_InjectMetadataProperties(context, task_id, task_type, image_repo,
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image_id),
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)
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