254 lines
10 KiB
Python
254 lines
10 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 configparser
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import logging
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import math
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import os
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from datetime import datetime
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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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try:
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from deckhand_client_factory import DeckhandClientFactory
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import service_endpoint
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from get_k8s_logs import get_pod_logs
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from get_k8s_logs import K8sLoggingException
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from xcom_puller import XcomPuller
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except ImportError:
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from shipyard_airflow.plugins.deckhand_client_factory import \
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DeckhandClientFactory
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from shipyard_airflow.plugins import service_endpoint
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from shipyard_airflow.plugins.get_k8s_logs import get_pod_logs
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from shipyard_airflow.plugins.get_k8s_logs import K8sLoggingException
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from shipyard_airflow.plugins.xcom_puller import XcomPuller
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from shipyard_airflow.common.document_validators.document_validation_utils \
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import DocumentValidationUtils
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LOG = logging.getLogger(__name__)
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class UcpBaseOperator(BaseOperator):
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"""Airship Base Operator
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All Airship related workflow operators will use the Airship base
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operator as the parent and inherit attributes and methods
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from this class
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"""
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@apply_defaults
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def __init__(self,
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main_dag_name=None,
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pod_selector_pattern=None,
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shipyard_conf=None,
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start_time=None,
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xcom_push=True,
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*args, **kwargs):
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"""Initialization of UcpBaseOperator object.
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:param continue_processing: A boolean value on whether to continue
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with the workflow. Defaults to True.
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:param main_dag_name: Parent Dag
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:param pod_selector_pattern: A list containing the information on
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the patterns of the Pod name and name
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of the associated container for log
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queries. This will allow us to query
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multiple components, e.g. MAAS and
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Drydock at the same time. It also allows
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us to query the logs of specific container
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in Pods with multiple containers. For
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instance the Airflow worker pod contains
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both the airflow-worker container and the
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log-rotate container.
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:param shipyard_conf: Location of shipyard.conf
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:param start_time: Time when Operator gets executed
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:param xcom_push: xcom usage
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"""
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super(UcpBaseOperator, self).__init__(*args, **kwargs)
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self.continue_processing = True
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self.main_dag_name = main_dag_name
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self.pod_selector_pattern = pod_selector_pattern or []
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self.shipyard_conf = shipyard_conf
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self.start_time = datetime.now()
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self.xcom_push_flag = xcom_push
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def execute(self, context):
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# Setup values that depend on the shipyard configuration
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self.doc_utils = _get_document_util(self.shipyard_conf)
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self.endpoints = service_endpoint.ServiceEndpoints(self.shipyard_conf)
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# Execute Airship base function
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self.ucp_base(context)
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# Execute base function
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self.run_base(context)
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if self.continue_processing:
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# Exeute child function
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self.do_execute()
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def ucp_base(self, context):
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LOG.info("Running Airship Base Operator...")
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# Read and parse shiyard.conf
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config = configparser.ConfigParser()
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config.read(self.shipyard_conf)
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# Initialize variable
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self.ucp_namespace = config.get('k8s_logs', 'ucp_namespace')
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# Define task_instance
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self.task_instance = context['task_instance']
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# Set up and retrieve values from xcom
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self.xcom_puller = XcomPuller(self.main_dag_name, self.task_instance)
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self.action_info = self.xcom_puller.get_action_info()
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self.action_type = self.xcom_puller.get_action_type()
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self.dc = self.xcom_puller.get_deployment_configuration()
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# Set up other common-use values
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self.action_id = self.action_info['id']
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self.revision_id = self.action_info['committed_rev_id']
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self.action_params = self.action_info.get('parameters', {})
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self.design_ref = self._deckhand_design_ref()
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self._setup_target_nodes()
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def get_k8s_logs(self):
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"""Retrieve Kubernetes pod/container logs specified by an opererator
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This method is "best effort" and should not prevent the progress of
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the workflow processing
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"""
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if self.pod_selector_pattern:
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for selector in self.pod_selector_pattern:
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# Get difference in current time and time when the
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# operator was first executed (in seconds)
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t_diff = (datetime.now() - self.start_time).total_seconds()
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# Note that we will end up with a floating number for
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# 't_diff' and will need to round it up to the nearest
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# integer
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t_diff_int = int(math.ceil(t_diff))
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try:
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get_pod_logs(selector['pod_pattern'],
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self.ucp_namespace,
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selector['container'],
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t_diff_int)
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except K8sLoggingException as e:
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LOG.error(e)
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else:
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LOG.debug("There are no pod logs specified to retrieve")
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def _setup_target_nodes(self):
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"""Sets up the target nodes field for this action
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When managing a targeted action, this step needs to resolve the
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target node. If there are no targets found (should be caught before
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invocation of the DAG), then raise an exception so that it does not
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try to take action on more nodes than targeted.
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Later, when creating the deployment group, if this value
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(self.target_nodes) is set, it will be used in lieu of the design
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based deployment strategy.
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target_nodes will be a comma separated string provided as part of the
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parameters to an action on input to Shipyard.
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"""
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if self.action_type == 'targeted':
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t_nodes = self.action_params.get('target_nodes', '')
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self.target_nodes = [n.strip() for n in t_nodes.split(',')]
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if not self.target_nodes:
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raise AirflowException(
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'{} ({}) requires targeted nodes, but was unable to '
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'resolve any targets in {}'.format(
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self.main_dag_name, self.action_id,
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self.__class__.__name__
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)
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)
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LOG.info("Target Nodes for action: [%s]",
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', '.join(self.target_nodes))
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else:
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self.target_nodes = None
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def _deckhand_design_ref(self):
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"""Assemble a deckhand design_ref"""
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# Retrieve DeckHand Endpoint Information
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LOG.info("Assembling a design ref using revision: %s",
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self.revision_id)
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deckhand_svc_endpoint = self.endpoints.endpoint_by_name(
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service_endpoint.DECKHAND
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)
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# This URL will be used to retrieve the Site Design YAMLs
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deckhand_path = "deckhand+{}".format(deckhand_svc_endpoint)
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design_ref = os.path.join(deckhand_path,
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"revisions",
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str(self.revision_id),
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"rendered-documents")
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LOG.info("Design Reference is %s", design_ref)
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return design_ref
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def get_unique_doc(self, schema, name, revision_id=None):
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"""Retrieve a specific document from Deckhand
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:param schema: the schema of the document
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:param name: the metadata.name of the document
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:param revision_id: the deckhand revision, or defaults to
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self.revision_id
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Wraps the document_validation_utils call to get the same.
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Returns the sepcified document or raises an Airflow exception.
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"""
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if revision_id is None:
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revision_id = self.revision_id
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LOG.info(
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"Retrieve shipyard/DeploymentConfiguration/v1, "
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"deployment-configuration from Deckhand"
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)
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try:
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return self.doc_utils.get_unique_doc(revision_id=revision_id,
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name=name,
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schema=schema)
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except Exception as ex:
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LOG.error("A document was expected to be available: Name: %s, "
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"Schema: %s, Deckhand revision: %s, but there was an "
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"error attempting to retrieve it. Since this document's "
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"contents may be critical to the proper operation of "
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"the workflow, this is fatal.", schema, name,
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revision_id)
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LOG.exception(ex)
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# if the document is not found for ANY reason, the workflow is
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# broken. Raise an Airflow Exception.
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raise AirflowException(ex)
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def _get_document_util(shipyard_conf):
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"""Retrieve an instance of the DocumentValidationUtils"""
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dh_client = DeckhandClientFactory(shipyard_conf).get_client()
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return DocumentValidationUtils(dh_client)
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class UcpBaseOperatorPlugin(AirflowPlugin):
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"""Creates UcpBaseOperator in Airflow."""
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name = 'ucp_base_operator_plugin'
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operators = [UcpBaseOperator]
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