105 lines
3.4 KiB
Python
105 lines
3.4 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2020 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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"""Vertex AI endpoints update 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.ai.tensorboards import client
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.ai import constants
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from googlecloudsdk.command_lib.ai import endpoint_util
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from googlecloudsdk.command_lib.ai import errors
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from googlecloudsdk.command_lib.ai 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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def _AddArgs(parser):
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flags.AddTensorboardResourceArg(parser, 'to update')
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flags.GetDisplayNameArg('tensorboard', required=False).AddToParser(parser)
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flags.GetDescriptionArg('tensorboard').AddToParser(parser)
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labels_util.AddUpdateLabelsFlags(parser)
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def _Run(args, version):
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"""Update an existing Vertex AI Tensorboard."""
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tensorboard_ref = args.CONCEPTS.tensorboard.Parse()
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args.region = tensorboard_ref.AsDict()['locationsId']
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with endpoint_util.AiplatformEndpointOverrides(version, region=args.region):
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tensorboards_client = client.TensorboardsClient(version=version)
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try:
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op = tensorboards_client.Patch(tensorboard_ref, args)
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except errors.NoFieldsSpecifiedError:
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available_update_args = [
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'display_name',
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'description',
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'update_labels',
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'clear_labels',
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'remove_labels',
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]
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if not any(args.IsSpecified(arg) for arg in available_update_args):
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raise
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log.status.Print('No update to perform.')
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return None
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else:
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log.UpdatedResource(op.name, kind='Vertex AI Tensorboard')
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return op
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@base.ReleaseTracks(base.ReleaseTrack.GA)
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class UpdateGa(base.UpdateCommand):
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"""Update an existing Vertex AI Tensorboard."""
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detailed_help = {
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'EXAMPLES':
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"""\
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To update a Tensorboard `12345`, in region `us-central1` and project `my-project`, with the display name `updated display name`:
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$ {command} projects/my-project/locations/us-central1/tensorboards/12345 --display-name="updated display name"
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""",
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}
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@staticmethod
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def Args(parser):
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_AddArgs(parser)
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def Run(self, args):
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return _Run(args, constants.GA_VERSION)
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@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
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class UpdateBeta(base.UpdateCommand):
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"""Update an existing Vertex AI Tensorboard."""
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detailed_help = {
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'EXAMPLES':
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"""\
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To update a Tensorboard `12345`, in region `us-central1` and project `my-project`, with the display name `updated display name`:
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$ {command} projects/my-project/locations/us-central1/tensorboards/12345 --display-name="updated display name"
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""",
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}
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@staticmethod
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def Args(parser):
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_AddArgs(parser)
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def Run(self, args):
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return _Run(args, constants.BETA_VERSION)
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