75 lines
2.3 KiB
Python
75 lines
2.3 KiB
Python
# Copyright 2016 Red Hat, 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 __future__ import print_function
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from tripleo_common.actions import scale
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from tripleoclient import exceptions
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from tripleoclient.workflows import base
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def ansible_tear_down(clients, **workflow_input):
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workflow_client = clients.workflow_engine
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tripleoclients = clients.tripleoclient
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workflow_input['playbook_name'] = 'scale_playbook.yaml'
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with tripleoclients.messaging_websocket() as ws:
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execution = base.start_workflow(
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workflow_client,
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'tripleo.deployment.v1.config_download_deploy',
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workflow_input=workflow_input
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)
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for payload in base.wait_for_messages(workflow_client, ws, execution):
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print(payload['message'])
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if payload['status'] == 'SUCCESS':
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print("Scale-down configuration completed.")
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else:
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raise exceptions.DeploymentError("Scale-down configuration failed.")
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def scale_down(clients, plan_name, nodes, timeout=None):
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"""Unprovision and deletes overcloud nodes from a heat stack.
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:param clients: Application client object.
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:type clients: Object
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:param timeout: Timeout to use when deleting nodes. If timeout is None
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it will be set to 240.
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:type timeout: Integer
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:param plan: Plan name.
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:type plan: String
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:param nodes: List of nodes to delete.
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:type nodes: List
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"""
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workflow_input = {
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"plan_name": plan_name,
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"nodes": nodes,
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}
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ansible_tear_down(clients, **workflow_input)
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if not timeout:
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timeout = 240
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context = clients.tripleoclient.create_mistral_context()
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scale_down_action = scale.ScaleDownAction(nodes=nodes, timeout=timeout)
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scale_down_action.run(context=context)
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