202 lines
7.4 KiB
Python
202 lines
7.4 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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import logging
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import time
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from airflow.models import BaseOperator
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from airflow.utils.decorators import apply_defaults
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from airflow.plugins_manager import AirflowPlugin
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from airflow.exceptions import AirflowException
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from service_endpoint import ucp_service_endpoint
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from service_token import shipyard_service_token
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class PromenadeOperator(BaseOperator):
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"""
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Supports interaction with Promenade
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:param action: Task to perform
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:param main_dag_name: Parent Dag
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:param shipyard_conf: Location of shipyard.conf
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:param sub_dag_name: Child Dag
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"""
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@apply_defaults
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def __init__(self,
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action=None,
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main_dag_name=None,
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shipyard_conf=None,
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sub_dag_name=None,
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workflow_info={},
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xcom_push=True,
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*args, **kwargs):
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super(PromenadeOperator, self).__init__(*args, **kwargs)
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self.action = action
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self.main_dag_name = main_dag_name
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self.shipyard_conf = shipyard_conf
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self.sub_dag_name = sub_dag_name
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self.workflow_info = workflow_info
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self.xcom_push_flag = xcom_push
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def execute(self, context):
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# Initialize Variables
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check_etcd = False
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delete_node = False
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labels_removed = False
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node_drained = False
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redeploy_server = None
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stop_kubelet = False
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# Define task_instance
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task_instance = context['task_instance']
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# Extract information related to current workflow
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# The workflow_info variable will be a dictionary
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# that contains information about the workflow such
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# as action_id, name and other related parameters
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workflow_info = task_instance.xcom_pull(
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task_ids='action_xcom', key='action',
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dag_id=self.main_dag_name)
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# Logs uuid of action performed by the Operator
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logging.info("Promenade Operator for action %s", workflow_info['id'])
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# Retrieve information of the server that we want to redeploy if user
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# executes the 'redeploy_server' dag
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if workflow_info['dag_id'] == 'redeploy_server':
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redeploy_server = workflow_info['parameters'].get('server-name')
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if redeploy_server:
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logging.info("Server to be redeployed is %s", redeploy_server)
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else:
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raise AirflowException('Unable to retrieve information of '
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'node to be redeployed!')
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# Retrieve Endpoint Information
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svc_type = 'kubernetesprovisioner'
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context['svc_endpoint'] = ucp_service_endpoint(self,
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svc_type=svc_type)
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logging.info("Promenade endpoint is %s", context['svc_endpoint'])
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# Promenade API Call
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# Drain node using Promenade
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if self.action == 'promenade_drain_node':
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node_drained = self.promenade_drain_node(context,
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redeploy_server)
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if node_drained:
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logging.info("Node %s has been successfully drained",
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redeploy_server)
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else:
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raise AirflowException('Failed to drain %s!',
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redeploy_server)
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# Remove labels using Promenade
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elif self.action == 'promenade_remove_labels':
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labels_removed = self.promenade_drain_node(context,
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redeploy_server)
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if labels_removed:
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logging.info("Successfully removed labels on %s",
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redeploy_server)
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else:
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raise AirflowException('Failed to remove labels on %s!',
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redeploy_server)
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# Stops kubelet on node using Promenade
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elif self.action == 'promenade_stop_kubelet':
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stop_kubelet = self.promenade_stop_kubelet(context,
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redeploy_server)
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if stop_kubelet:
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logging.info("Successfully stopped kubelet on %s",
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redeploy_server)
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else:
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raise AirflowException('Failed to stopped kubelet on %s!',
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redeploy_server)
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# Performs etcd sanity check using Promenade
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elif self.action == 'promenade_check_etcd':
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check_etcd = self.promenade_check_etcd(context)
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if check_etcd:
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logging.info("The etcd cluster is healthy and ready")
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else:
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raise AirflowException('Please check the state of etcd!')
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# Delete node from cluster using Promenade
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elif self.action == 'promenade_delete_node':
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delete_node = self.promenade_delete_node(context,
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redeploy_server)
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if delete_node:
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logging.info("Succesfully deleted node %s from cluster",
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redeploy_server)
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else:
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raise AirflowException('Failed to node %s from cluster!',
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redeploy_server)
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# No action to perform
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else:
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logging.info('No Action to Perform')
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@shipyard_service_token
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def promenade_drain_node(self, context, redeploy_server):
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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("Draining node...")
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return True
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@shipyard_service_token
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def promenade_remove_labels(self, context, redeploy_server):
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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("Removing labels on node...")
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return True
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@shipyard_service_token
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def promenade_stop_kubelet(self, context, redeploy_server):
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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("Stopping kubelet on node...")
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return True
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@shipyard_service_token
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def promenade_check_etcd(self, context):
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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("Performing health check on etcd...")
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return True
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@shipyard_service_token
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def promenade_delete_node(self, context, redeploy_server):
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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("Deleting node from cluster...")
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time.sleep(30)
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logging.info("Successfully deleted node %s", redeploy_server)
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return True
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class PromenadeOperatorPlugin(AirflowPlugin):
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name = 'promenade_operator_plugin'
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operators = [PromenadeOperator]
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