
We will move away from the usage of if/else block and will instead make use of inheritance (promenade base operator) and task specific operators in our dags to execute the workflow Change-Id: Id32592d4f5f2d32e479344c7b859493b6bb450cb
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
# Copyright 2018 AT&T Intellectual Property. All other rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import time
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from airflow.plugins_manager import AirflowPlugin
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from airflow.exceptions import AirflowException
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from promenade_base_operator import PromenadeBaseOperator
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class PromenadeDecommissionNodeOperator(PromenadeBaseOperator):
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"""Promenade Decommission Node Operator
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This operator will trigger promenade to perform steps to
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clean up the target node from the Kubernetes cluster
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"""
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def do_execute(self):
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# Placeholder function. Updates will be made when the Promenade
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# API is ready for consumption.
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logging.info("Decommissioning node from Kubernetes cluster...")
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time.sleep(5)
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decommission_node = True
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if decommission_node:
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logging.info("Succesfully decommissioned node %s",
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self.redeploy_server)
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else:
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raise AirflowException('Failed to decommission node %s!',
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self.redeploy_server)
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class PromenadeDecommissionNodeOperatorPlugin(AirflowPlugin):
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"""Creates PromenadeDecommissionNodeOperator in Airflow."""
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name = 'promenade_decommission_node_operator'
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operators = [PromenadeDecommissionNodeOperator]
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