89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2017 Google LLC. All 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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"""Update job command."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import unicode_literals
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from googlecloudsdk.api_lib.dataproc import dataproc as dp
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.dataproc import flags
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from googlecloudsdk.command_lib.util.args import labels_util
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from googlecloudsdk.core import log
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class Update(base.UpdateCommand):
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"""Update the labels for a job.
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Update the labels for a job.
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## EXAMPLES
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To add the label 'customer=acme' to a job , run:
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$ {command} job_id --update-labels=customer=acme
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To update the label 'customer=ackme' to 'customer=acme', run:
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$ {command} job_id --update-labels=customer=acme
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To remove the label whose key is 'customer', run:
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$ {command} job_id --remove-labels=customer
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"""
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@classmethod
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def Args(cls, parser):
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dataproc = dp.Dataproc(cls.ReleaseTrack())
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flags.AddJobResourceArg(parser, 'update', dataproc.api_version)
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changes = parser.add_argument_group(required=True)
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# Allow the user to specify new labels as well as update/remove existing
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labels_util.AddUpdateLabelsFlags(changes)
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def Run(self, args):
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dataproc = dp.Dataproc(self.ReleaseTrack())
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job_ref = args.CONCEPTS.job.Parse()
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changed_fields = []
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orig_job = dataproc.client.projects_regions_jobs.Get(
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dataproc.messages.DataprocProjectsRegionsJobsGetRequest(
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projectId=job_ref.projectId,
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region=job_ref.region,
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jobId=job_ref.jobId))
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# Update labels if the user requested it
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labels_update_result = labels_util.Diff.FromUpdateArgs(args).Apply(
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dataproc.messages.Job.LabelsValue, orig_job.labels)
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if labels_update_result.needs_update:
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changed_fields.append('labels')
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updated_job = orig_job
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updated_job.labels = labels_update_result.GetOrNone()
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request = dataproc.messages.DataprocProjectsRegionsJobsPatchRequest(
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projectId=job_ref.projectId,
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region=job_ref.region,
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jobId=job_ref.jobId,
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job=updated_job,
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updateMask=','.join(changed_fields))
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returned_job = dataproc.client.projects_regions_jobs.Patch(request)
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log.UpdatedResource(returned_job)
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return returned_job
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