73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2019 Google Inc. 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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"""Command to describe a Data Fusion instance."""
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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.data_fusion import datafusion as df
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from googlecloudsdk.api_lib.util import waiter
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.data_fusion import operation_poller
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from googlecloudsdk.command_lib.data_fusion import resource_args
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from googlecloudsdk.core import log
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class Restart(base.DescribeCommand):
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"""Restarts a Cloud Data Fusion instance."""
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detailed_help = {
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'DESCRIPTION': """\
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If run asynchronously with `--async`, exits after printing an operation
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that can be used to poll the status of the creation operation via:
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{command} operations list
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""",
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'EXAMPLES': """\
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To restart instance `my-instance` in project `my-project` and location
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`my-location`, run:
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$ {command} my-instance --project=my-project --location=my-location
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""",
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}
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@staticmethod
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def Args(parser):
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resource_args.AddInstanceResourceArg(parser, 'Instance to restart.')
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base.ASYNC_FLAG.AddToParser(parser)
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def Run(self, args):
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datafusion = df.Datafusion()
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instance_ref = args.CONCEPTS.instance.Parse()
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request = datafusion.messages.DatafusionProjectsLocationsInstancesRestartRequest(
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name=instance_ref.RelativeName())
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operation = datafusion.client.projects_locations_instances.Restart(request)
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if args.async_:
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log.CreatedResource(
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instance_ref.RelativeName(), kind='instance', is_async=True)
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return operation
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else:
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waiter.WaitFor(
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operation_poller.OperationPoller(),
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operation.name,
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'Waiting for [{}] to complete. This may take several minutes.'.format(
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operation.name),
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wait_ceiling_ms=df.OPERATION_TIMEOUT)
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log.ResetResource(
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instance_ref.RelativeName(), kind='instance', is_async=False)
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