474 lines
19 KiB
Python
474 lines
19 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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import configparser
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import json
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import logging
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import os
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import requests
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import time
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from urllib.parse import urlparse
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from airflow.exceptions import AirflowException
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from airflow.models import BaseOperator
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from airflow.plugins_manager import AirflowPlugin
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from airflow.utils.decorators import apply_defaults
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import drydock_provisioner.drydock_client.client as client
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import drydock_provisioner.drydock_client.session as session
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from check_k8s_node_status import check_node_status
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from drydock_provisioner import error as errors
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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 DryDockOperator(BaseOperator):
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"""
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DryDock Client
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:param action: Task to perform
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:param design_ref: A URI reference to the design documents
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:param main_dag_name: Parent Dag
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:param node_filter: A filter for narrowing the scope of the task. Valid
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fields are 'node_names', 'rack_names', 'node_tags'
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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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:param workflow_info: Information related to the workflow
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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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design_ref=None,
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main_dag_name=None,
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node_filter=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(DryDockOperator, self).__init__(*args, **kwargs)
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self.action = action
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self.design_ref = design_ref
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self.main_dag_name = main_dag_name
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self.node_filter = node_filter
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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 Variable
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redeploy_server = None
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# Placeholder definition
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# TODO: Need to decide how to pass the required value from Shipyard to
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# the 'node_filter' variable. No filter will be used for now.
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self.node_filter = None
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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("DryDock 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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# Set node filter to be the server that we want to redeploy
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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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self.node_filter = 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 Deckhand Design Reference
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self.design_ref = self.get_deckhand_design_ref(context)
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if self.design_ref:
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logging.info("Drydock YAMLs will be retrieved from %s",
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self.design_ref)
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else:
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raise AirflowException("Unable to Retrieve Design Reference!")
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# Drydock Validate Site Design
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if self.action == 'validate_site_design':
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# Initialize variable
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site_design_validity = 'invalid'
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# Retrieve Endpoint Information
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svc_type = 'physicalprovisioner'
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context['svc_endpoint'] = ucp_service_endpoint(self,
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svc_type=svc_type)
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site_design_validity = self.drydock_validate_design(context)
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return site_design_validity
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# DrydockClient
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# Retrieve Endpoint Information
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svc_type = 'physicalprovisioner'
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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("DryDock endpoint is %s", context['svc_endpoint'])
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# Set up DryDock Client
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drydock_client = self.drydock_session_client(context)
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# Read shipyard.conf
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config = configparser.ConfigParser()
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config.read(self.shipyard_conf)
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if not config.read(self.shipyard_conf):
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raise AirflowException("Unable to read content of shipyard.conf")
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# Create Task for verify_site
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if self.action == 'verify_site':
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# Default settings for 'verify_site' execution is to query
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# the task every 10 seconds and to time out after 60 seconds
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query_interval = config.get('drydock',
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'verify_site_query_interval')
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task_timeout = config.get('drydock', 'verify_site_task_timeout')
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self.drydock_action(drydock_client, context, self.action,
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query_interval, task_timeout)
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# Create Task for prepare_site
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elif self.action == 'prepare_site':
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# Default settings for 'prepare_site' execution is to query
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# the task every 10 seconds and to time out after 300 seconds
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query_interval = config.get('drydock',
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'prepare_site_query_interval')
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task_timeout = config.get('drydock', 'prepare_site_task_timeout')
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self.drydock_action(drydock_client, context, self.action,
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query_interval, task_timeout)
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# Create Task for prepare_node
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elif self.action == 'prepare_nodes':
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# Default settings for 'prepare_node' execution is to query
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# the task every 30 seconds and to time out after 1800 seconds
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query_interval = config.get('drydock',
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'prepare_node_query_interval')
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task_timeout = config.get('drydock', 'prepare_node_task_timeout')
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self.drydock_action(drydock_client, context, self.action,
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query_interval, task_timeout)
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# Create Task for deploy_node
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elif self.action == 'deploy_nodes':
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# Default settings for 'deploy_node' execution is to query
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# the task every 30 seconds and to time out after 3600 seconds
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query_interval = config.get('drydock',
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'deploy_node_query_interval')
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task_timeout = config.get('drydock', 'deploy_node_task_timeout')
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self.drydock_action(drydock_client, context, self.action,
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query_interval, task_timeout)
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# Wait for 120 seconds (default value) before checking the cluster
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# join process as it takes time for process to be triggered across
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# all nodes
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cluster_join_check_backoff_time = config.get(
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'drydock', 'cluster_join_check_backoff_time')
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logging.info("All nodes deployed in MAAS")
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logging.info("Wait for %d seconds before checking node state...",
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int(cluster_join_check_backoff_time))
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time.sleep(int(cluster_join_check_backoff_time))
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# Check that cluster join process is completed before declaring
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# deploy_node as 'completed'. Set time out to 30 minutes and set
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# polling interval to 30 seconds.
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check_node_status(1800, 30)
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# Create Task for destroy_node
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# NOTE: This is a PlaceHolder function. The 'destroy_node'
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# functionalities in DryDock is being worked on and is not
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# ready at the moment.
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elif self.action == 'destroy_node':
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# Default settings for 'destroy_node' execution is to query
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# the task every 30 seconds and to time out after 900 seconds
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query_interval = config.get('drydock',
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'destroy_node_query_interval')
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task_timeout = config.get('drydock', 'destroy_node_task_timeout')
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logging.info("Destroying node %s from cluster...", redeploy_server)
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time.sleep(30)
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logging.info("Successfully deleted node %s", redeploy_server)
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# TODO: Uncomment when the function to destroy/delete node is
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# ready for consumption in Drydock
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# self.drydock_action(drydock_client, context, self.action,
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# query_interval, task_timeout)
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# Do not perform any action
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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 drydock_session_client(self, context):
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# Initialize Variables
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drydock_url = None
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dd_session = None
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dd_client = None
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# Parse DryDock Service Endpoint
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drydock_url = urlparse(context['svc_endpoint'])
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# Build a DrydockSession with credentials and target host
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# information.
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logging.info("Build DryDock Session")
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dd_session = session.DrydockSession(drydock_url.hostname,
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port=drydock_url.port,
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token=context['svc_token'])
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# Raise Exception if we are not able to get a drydock session
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if dd_session:
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logging.info("Successfully Set Up DryDock Session")
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else:
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raise AirflowException("Failed to set up Drydock Session!")
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# Use session to build a DrydockClient to make one or more API calls
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# The DrydockSession will care for TCP connection pooling
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# and header management
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logging.info("Create DryDock Client")
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dd_client = client.DrydockClient(dd_session)
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# Raise Exception if we are not able to build drydock client
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if dd_client:
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logging.info("Successfully Set Up DryDock client")
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else:
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raise AirflowException("Unable to set up Drydock Client!")
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# Drydock client for XCOM Usage
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return dd_client
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def drydock_action(self, drydock_client, context, action, interval,
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time_out):
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# Trigger DryDock to execute task and retrieve task ID
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task_id = self.drydock_perform_task(drydock_client, context,
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action, self.node_filter)
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logging.info('Task ID is %s', task_id)
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# Query Task
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self.drydock_query_task(drydock_client, context, interval,
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time_out, task_id)
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def drydock_perform_task(self, drydock_client, context,
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perform_task, nodes_filter):
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# Initialize Variables
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create_task_response = {}
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task_id = None
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# Node Filter
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logging.info("Nodes Filter List: %s", nodes_filter)
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# Create Task
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create_task_response = drydock_client.create_task(
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design_ref=self.design_ref,
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task_action=perform_task,
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node_filter=nodes_filter)
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# Retrieve Task ID
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task_id = create_task_response.get('task_id')
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logging.info('Drydock %s task ID is %s', perform_task, task_id)
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# Raise Exception if we are not able to get the task_id from
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# drydock
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if task_id:
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return task_id
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else:
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raise AirflowException("Unable to create task!")
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def drydock_query_task(self, drydock_client, context, interval,
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time_out, task_id):
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# Initialize Variables
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keystone_token_expired = False
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new_dd_client = None
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dd_client = drydock_client
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# Calculate number of times to execute the 'for' loop
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# Convert 'time_out' and 'interval' from string into integer
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# The result from the division will be a floating number which
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# We will round off to nearest whole number
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end_range = round(int(time_out) / int(interval))
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# Query task status
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for i in range(0, end_range + 1):
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if keystone_token_expired:
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logging.info("Established new drydock session")
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dd_client = new_dd_client
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try:
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# Retrieve current task state
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task_state = dd_client.get_task(task_id=task_id)
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task_status = task_state.get('status')
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task_result = task_state.get('result')['status']
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logging.info("Current status of task id %s is %s",
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task_id, task_status)
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keystone_token_expired = False
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except errors.ClientUnauthorizedError as unauthorized_error:
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# TODO: This is a temporary workaround. Drydock will be
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# updated with the appropriate fix in the drydock api
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# client by having the session detect a 401/403 response
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# and refresh the token appropriately.
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# Logs drydock client unauthorized error
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keystone_token_expired = True
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logging.error(unauthorized_error)
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# Set up new drydock client with new keystone token
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logging.info("Setting up new drydock session...")
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context['svc_endpoint'] = ucp_service_endpoint(
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self, svc_type='physicalprovisioner')
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new_dd_client = self.drydock_session_client(context)
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except errors.ClientForbiddenError as forbidden_error:
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raise AirflowException(forbidden_error)
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except errors.ClientError as client_error:
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raise AirflowException(client_error)
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except:
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# There can be instances where there are intermittent network
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# issues that prevents us from retrieving the task state. We
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# will want to retry in such situations.
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logging.info("Unable to retrieve task state. Retrying...")
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# Raise Time Out Exception
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if task_status == 'running' and i == end_range:
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raise AirflowException("Task Execution Timed Out!")
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# Exit 'for' loop if the task is in 'complete' or 'terminated'
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# state
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if task_status in ['complete', 'terminated']:
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logging.info('Task result is %s', task_result)
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break
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else:
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time.sleep(int(interval))
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# Get final task result
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# NOTE: The promenade join script does not have a call-back step
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# to indicate that the process is completed at the moment. This
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# will lead to Drydock returning 'partial success' at the end of
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# the 'deploy_nodes' task as it times out while waiting for the
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# response from promenade (bootactions will fail as a result). As
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# such, we are keeping 'partial_success' as a valid task result
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# for now and will update the Drydock Operator once the promenade
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# feature is ready for consumption.
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if task_result in ['success', 'partial_success']:
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logging.info('Task id %s has been successfully completed',
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self.task_id)
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else:
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raise AirflowException("Failed to execute/complete task!")
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def get_deckhand_design_ref(self, context):
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# Retrieve DeckHand Endpoint Information
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svc_type = 'deckhand'
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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("Deckhand endpoint is %s", context['svc_endpoint'])
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# Retrieve revision_id from xcom
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# Note that in the case of 'deploy_site', the dag_id will
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# be 'deploy_site.deckhand_get_design_version' for the
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# 'deckhand_get_design_version' task. We need to extract
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# the xcom value from it in order to get the value of the
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# last committed revision ID
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committed_revision_id = context['task_instance'].xcom_pull(
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task_ids='deckhand_get_design_version',
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dag_id=self.main_dag_name + '.deckhand_get_design_version')
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# Form DeckHand Design Reference Path that we will use to retrieve
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# the DryDock YAMLs
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deckhand_path = "deckhand+" + context['svc_endpoint']
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deckhand_design_ref = os.path.join(deckhand_path,
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"revisions",
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str(committed_revision_id),
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"rendered-documents")
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return deckhand_design_ref
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@shipyard_service_token
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def drydock_validate_design(self, context):
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# Form Validation Endpoint
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validation_endpoint = os.path.join(context['svc_endpoint'],
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'validatedesign')
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logging.info("Validation Endpoint is %s", validation_endpoint)
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# Define Headers and Payload
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headers = {
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'Content-Type': 'application/json',
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'X-Auth-Token': context['svc_token']
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}
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payload = {
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'rel': "design",
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'href': self.design_ref,
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'type': "application/x-yaml"
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}
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# Requests DryDock to validate site design
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logging.info("Waiting for DryDock to validate site design...")
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try:
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design_validate_response = requests.post(validation_endpoint,
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headers=headers,
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data=json.dumps(payload))
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except requests.exceptions.RequestException as e:
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raise AirflowException(e)
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# Convert response to string
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validate_site_design = design_validate_response.text
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# Print response
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logging.info("Retrieving DryDock validate site design response...")
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logging.info(json.loads(validate_site_design))
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# Check if site design is valid
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if json.loads(validate_site_design).get('status') == 'Success':
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logging.info("DryDock Site Design has been successfully validated")
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return 'valid'
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else:
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raise AirflowException("DryDock Site Design Validation Failed!")
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class DryDockClientPlugin(AirflowPlugin):
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name = "drydock_client_plugin"
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operators = [DryDockOperator]
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