120 lines
3.8 KiB
Python
120 lines
3.8 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2021 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 create 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 encoding
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from googlecloudsdk.api_lib.ai import operations
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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 flags
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from googlecloudsdk.command_lib.ai import operations_util
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from googlecloudsdk.command_lib.ai import tensorboards_util
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from googlecloudsdk.command_lib.ai import validation
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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.AddRegionResourceArg(parser, 'to create a Tensorboard')
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flags.GetDisplayNameArg('tensorboard').AddToParser(parser)
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flags.GetDescriptionArg('tensorboard').AddToParser(parser)
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flags.AddKmsKeyResourceArg(parser, 'tensorboard')
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labels_util.AddCreateLabelsFlags(parser)
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def _Run(args, version):
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"""Create a new Vertex AI Tensorboard."""
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validation.ValidateDisplayName(args.display_name)
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region_ref = args.CONCEPTS.region.Parse()
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args.region = region_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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operation_client = operations.OperationsClient()
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op = tensorboards_client.Create(region_ref, args)
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response_msg = operations_util.WaitForOpMaybe(
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operation_client, op,
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tensorboards_util.ParseTensorboardOperation(op.name))
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if response_msg is not None:
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response = encoding.MessageToPyValue(response_msg)
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if 'name' in response:
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log.status.Print(
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('Created Vertex AI Tensorboard: {}.').format(response['name']))
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return response_msg
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@base.ReleaseTracks(base.ReleaseTrack.GA)
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class CreateGa(base.CreateCommand):
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"""Create a new Vertex AI Tensorboard."""
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detailed_help = {
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'EXAMPLES':
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"""\
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To create a Tensorboard with the display name `my tensorboard`:
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$ {command} --display-name="my tensorboard"
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You may also provide a description:
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$ {command} --description="my description"
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You may also provide labels:
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$ {command} --labels="label1=value1" --labels="label2=value2"
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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 CreateBeta(base.CreateCommand):
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"""Create a new Vertex AI Tensorboard."""
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detailed_help = {
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'EXAMPLES':
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"""\
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To create a Tensorboard with the display name `my tensorboard`:
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$ {command} --display-name="my tensorboard"
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You may also provide a description:
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$ {command} --description="my description"
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You may also provide labels:
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$ {command} --labels="label1=value1" --labels="label2=value2"
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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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