80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2019 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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"""Import autoscaling policy 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 apitools.base.py import exceptions as apitools_exceptions
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from googlecloudsdk.api_lib.dataproc import dataproc as dp
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from googlecloudsdk.api_lib.dataproc import util
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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.export import util as export_util
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from googlecloudsdk.core.console import console_io
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class Import(base.Command):
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"""Import an autoscaling policy.
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If the specified autoscaling policy already exists, it will be overwritten.
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Otherwise, a new autoscaling policy will be created.
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To edit an existing autoscaling policy, you can export the autoscaling policy
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to a file, edit its configuration, and then import the new configuration.
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This command does not allow output only fields, such as policy id and resource
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name. It populates the id field based on the resource name specified as the
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first command line argument.
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## EXAMPLES
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The following command creates or updates the contents of autoscaling policy
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`example-autoscaling-policy` based on a yaml file:
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$ {command} example-autoscaling-policy --source=saved-policy.yaml
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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.AddAutoscalingPolicyResourceArg(parser, 'import',
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dataproc.api_version)
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export_util.AddImportFlags(parser)
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def Run(self, args):
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dataproc = dp.Dataproc(self.ReleaseTrack())
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policy_ref = args.CONCEPTS.autoscaling_policy.Parse()
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policy = util.ReadAutoscalingPolicy(
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dataproc=dataproc,
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policy_id=policy_ref.Name(),
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policy_file_name=args.source)
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try:
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return util.CreateAutoscalingPolicy(dataproc, policy_ref.RelativeName(),
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policy)
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except apitools_exceptions.HttpError as error:
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# Catch ALREADY_EXISTS
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if error.status_code != 409:
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raise error
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# Warn the user that they're going to overwrite an existing policy
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console_io.PromptContinue(
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message=('Autoscaling policy [{0}] will be overwritten.').format(
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policy.id),
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cancel_on_no=True)
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return util.UpdateAutoscalingPolicy(dataproc, policy_ref.RelativeName(),
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policy)
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