f7d02238c3
We will move away from the usage of if/else block and will instead make use of inheritance (drydock base operator) and task specific operators in our dags to execute the workflow Change-Id: Ifea530ad8a8a2a591b511be4f037d7b4b9dd6c6f
47 lines
1.4 KiB
Python
47 lines
1.4 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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from airflow.plugins_manager import AirflowPlugin
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from drydock_base_operator import DrydockBaseOperator
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class DrydockVerifySiteOperator(DrydockBaseOperator):
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"""Drydock Verify Site Operator
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This operator will trigger drydock to verify site
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"""
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def do_execute(self):
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# Trigger DryDock to execute task
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self.create_task('verify_site')
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# Retrieve query interval and timeout
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q_interval = self.dc['physical_provisioner.verify_interval']
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task_timeout = self.dc['physical_provisioner.verify_timeout']
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# Query Task
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self.query_task(q_interval, task_timeout)
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class DrydockVerifySiteOperatorPlugin(AirflowPlugin):
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"""Creates DrydockVerifySiteOperator in Airflow."""
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name = 'drydock_verify_site_operator'
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operators = [DrydockVerifySiteOperator]
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