67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2018 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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"""Create a cluster from a file."""
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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.api_lib.dataproc import util
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.dataproc import clusters
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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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@base.ReleaseTracks(base.ReleaseTrack.ALPHA, base.ReleaseTrack.BETA)
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class CreateFromFile(base.CreateCommand):
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"""Create a cluster from a file."""
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detailed_help = {
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'EXAMPLES': """
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To create a cluster from a YAML file, run:
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$ {command} --file=cluster.yaml
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"""
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}
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@classmethod
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def Args(cls, parser):
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parser.add_argument(
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'--file',
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help="""
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The path to a YAML file containing a Dataproc Cluster resource.
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For more information, see:
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https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters#Cluster.
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""",
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required=True)
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# TODO(b/80197067): Move defaults to a common location.
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flags.AddTimeoutFlag(parser, default='35m')
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flags.AddRegionFlag(parser)
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base.ASYNC_FLAG.AddToParser(parser)
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def Run(self, args):
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dataproc = dp.Dataproc(self.ReleaseTrack())
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data = console_io.ReadFromFileOrStdin(args.file or '-', binary=False)
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cluster = export_util.Import(
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message_type=dataproc.messages.Cluster, stream=data)
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cluster_ref = util.ParseCluster(cluster.clusterName, dataproc)
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return clusters.CreateCluster(dataproc, cluster_ref, cluster, args.async_,
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args.timeout)
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