a88a5cf15a
Puts into place the DeploymentConfiguration yaml that provides the options that should be configured by the site design to the deployment (and update) workflows. This change additionally refactors reused parts to common modules as related to info passing (xcom) Change-Id: Ib6470899b204dbc18d2a9a2e4f95540b3b0032b0
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
# Copyright 2017 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.models import DAG
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from airflow.operators import K8sHealthCheckOperator
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from airflow.operators import UcpHealthCheckOperator
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from config_path import config_path
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def all_preflight_checks(parent_dag_name, child_dag_name, args):
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'''
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Pre-Flight Checks Subdag
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'''
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dag = DAG(
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'{}.{}'.format(parent_dag_name, child_dag_name),
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default_args=args)
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'''
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The k8s_preflight_check checks that k8s is in a good state
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for the purposes of the Undercloud Platform to proceed with
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processing
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'''
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k8s = K8sHealthCheckOperator(
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task_id='k8s_preflight_check',
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dag=dag)
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'''
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Check that all UCP components are in good state for the purposes
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of the Undercloud Platform to proceed with processing
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'''
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shipyard = UcpHealthCheckOperator(
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task_id='ucp_preflight_check',
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shipyard_conf=config_path,
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dag=dag)
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return dag
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