
1) Refactor Drydock Base Operator to make use of the UCP Base Operator instead 2) Dump logs from Drydock Pods when there are Exceptions Change-Id: I3fbe03d13b5fc89a503cfb2c3c25751076718554
71 lines
2.3 KiB
Python
71 lines
2.3 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 check_k8s_node_status import check_node_status
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from drydock_base_operator import DrydockBaseOperator
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LOG = logging.getLogger(__name__)
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class DrydockDeployNodesOperator(DrydockBaseOperator):
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"""Drydock Deploy Nodes Operator
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This operator will trigger drydock to deploy the bare metal
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nodes
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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('deploy_nodes')
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# Retrieve query interval and timeout
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q_interval = self.dc['physical_provisioner.deploy_interval']
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task_timeout = self.dc['physical_provisioner.deploy_timeout']
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# Query Task
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self.query_task(q_interval, task_timeout)
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# It takes time for the cluster join process to be triggered across
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# all the nodes in the cluster. Hence there is a need to back off
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# and wait before checking the state of the cluster join process.
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join_wait = self.dc['physical_provisioner.join_wait']
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LOG.info("All nodes deployed in MAAS")
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LOG.info("Wait for %d seconds before checking node state...",
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join_wait)
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time.sleep(join_wait)
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# Check that cluster join process is completed before declaring
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# deploy_node as 'completed'.
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node_st_timeout = self.dc['kubernetes.node_status_timeout']
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node_st_interval = self.dc['kubernetes.node_status_interval']
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check_node_status(node_st_timeout, node_st_interval)
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class DrydockDeployNodesOperatorPlugin(AirflowPlugin):
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"""Creates DrydockDeployNodesOperator in Airflow."""
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name = 'drydock_deploy_nodes_operator'
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operators = [DrydockDeployNodesOperator]
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