feat: Add new gcloud commands, API clients, and third-party libraries across various services.

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2026-01-01 20:26:35 +01:00
parent 5e23cbece0
commit a19e592eb7
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# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Command group for ai-platform Tensorboard Run."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.calliope import base
@base.ReleaseTracks(base.ReleaseTrack.ALPHA, base.ReleaseTrack.BETA)
class TensorboardRun(base.Group):
"""Manage Vertex AI Tensorboard runs."""
category = base.VERTEX_AI_CATEGORY

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# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Vertex AI Tensorboard run create command."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from apitools.base.py import encoding
from googlecloudsdk.api_lib.ai.tensorboard_runs import client
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ai import constants
from googlecloudsdk.command_lib.ai import endpoint_util
from googlecloudsdk.command_lib.ai import flags
from googlecloudsdk.command_lib.ai import validation
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import log
def _AddArgs(parser):
flags.AddTensorboardExperimentResourceArg(parser,
'to create a Tensorboard run')
flags.GetDisplayNameArg('tensorboard-run', required=True).AddToParser(parser)
flags.GetDescriptionArg('tensorboard-run').AddToParser(parser)
labels_util.AddCreateLabelsFlags(parser)
flags.GetTensorboardRunIdArg(required=True).AddToParser(parser)
def _Run(args, version):
"""Create a new Vertex AI Tensorboard run."""
tensorboard_exp_ref = args.CONCEPTS.tensorboard_experiment.Parse()
region = tensorboard_exp_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(version, region=region):
tensorboard_runs_client = client.TensorboardRunsClient(version=version)
response = tensorboard_runs_client.Create(tensorboard_exp_ref, args)
response_msg = encoding.MessageToPyValue(response)
if 'name' in response_msg:
log.status.Print(('Created Vertex AI Tensorboard run: {}.').format(
response_msg['name']))
return response
@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
class CreateBeta(base.CreateCommand):
"""Create a new Vertex AI Tensorboard run."""
detailed_help = {
'EXAMPLES':
"""\
To create a Tensorboard Run `my-tensorboard-run` in Tensorboard `12345` and Tensorboard Experiment `my-tensorboard-experiment, with the display name `my tensorboard run`:
$ {command} my-tensorboard-experiment --tensorboard-run-id=my-tensorboard-run --tensorboard-id=12345 --display-name="my tensorboard run"
You may also provide a description and/or labels:
$ {command} my-tensorboard-experiment --tensorboard-run-id=my-tensorboard-run --tensorboard-id=12345 --description="my description" --labels="label1=value1" --labels="label2=value2"
To create a Tensorboard Run `my-tensorboard-run` in Tensorboard `12345`, Tensorboard Experiment `my-tensorboard-experiment, region `us-central1`, and project `my-project`:
$ {command} projects/my-project/locations/us-central1/tensorboards/12345/experiments/my-tensorboard-experiment --tensorboard-run-id=my-tensorboard-run
""",
}
@staticmethod
def Args(parser):
_AddArgs(parser)
def Run(self, args):
validation.ValidateDisplayName(args.display_name)
return _Run(args, constants.BETA_VERSION)

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# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Command to delete a Tensorboard run in Vertex AI."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.ai import operations
from googlecloudsdk.api_lib.ai.tensorboard_runs import client
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ai import constants
from googlecloudsdk.command_lib.ai import endpoint_util
from googlecloudsdk.command_lib.ai import flags
from googlecloudsdk.command_lib.ai import operations_util
from googlecloudsdk.command_lib.ai import tensorboards_util
def _Run(args, version):
tensorboard_run_ref = args.CONCEPTS.tensorboard_run.Parse()
region = tensorboard_run_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=version, region=region):
operation = client.TensorboardRunsClient(
version=version).Delete(tensorboard_run_ref)
return operations_util.WaitForOpMaybe(
operations_client=operations.OperationsClient(),
op=operation,
op_ref=tensorboards_util.ParseTensorboardOperation(operation.name))
@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
class DeleteBeta(base.DeleteCommand):
"""Delete an existing Vertex AI Tensorboard run."""
detailed_help = {
'EXAMPLES':
"""\
To delete a Tensorboard Run `my-tensorboard-run` in Tensorboard `12345`, Tensorboard Experiment `my-tensorboard-experiment`, region `us-central1`, and project `my-project`:
$ {command} projects/my-project/locations/us-central1/tensorboards/12345/experiments/my-tensorboard-experiment/runs/my-tensorboard-run
Or with flags:
$ {command} my-tensorboard-run --tensorboard-id=12345 --tensorboard-experiment-id=my-tensorboard-experiment
""",
}
@staticmethod
def Args(parser):
flags.AddTensorboardRunResourceArg(parser, 'to delete')
def Run(self, args):
return _Run(args, constants.BETA_VERSION)

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# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Command to get a Tensorboard run in Vertex AI."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.ai.tensorboard_runs import client
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ai import constants
from googlecloudsdk.command_lib.ai import endpoint_util
from googlecloudsdk.command_lib.ai import flags
def _Run(args, version):
tensorboard_run_ref = args.CONCEPTS.tensorboard_run.Parse()
region = tensorboard_run_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=version, region=region):
response = client.TensorboardRunsClient(
version=version).Get(tensorboard_run_ref)
return response
@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
class DescribeBeta(base.DescribeCommand):
"""Get detailed Tensorboard run information about the given Tensorboard run id."""
detailed_help = {
'EXAMPLES':
"""\
To describe a Tensorboard Run `my-tensorboard-run` in Tensorboard `12345`, Tensorboard Experiment `my-tensorboard-experiment`, region `us-central1`, and project `my-project`:
$ {command} projects/my-project/locations/us-central1/tensorboards/12345/experiments/my-tensorboard-experiment/runs/my-tensorboard-run
Or with flags:
$ {command} my-tensorboard-run --tensorboard-id=12345 --tensorboard-experiment-id=my-tensorboard-experiment
""",
}
@staticmethod
def Args(parser):
flags.AddTensorboardRunResourceArg(parser, 'to describe')
def Run(self, args):
return _Run(args, constants.BETA_VERSION)

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# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Command to list Tensorboard runs in Vertex AI."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.ai.tensorboard_runs import client
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ai import constants
from googlecloudsdk.command_lib.ai import endpoint_util
from googlecloudsdk.command_lib.ai import flags
from googlecloudsdk.command_lib.util.concepts import concept_parsers
from googlecloudsdk.core import resources
def _GetUriBeta(tensorboard_exp):
ref = resources.REGISTRY.ParseRelativeName(
tensorboard_exp.name,
constants.TENSORBOARD_RUNS_COLLECTION,
api_version=constants.AI_PLATFORM_API_VERSION[constants.BETA_VERSION])
return ref.SelfLink()
def _AddArgs(parser):
concept_parsers.ConceptParser.ForResource(
'--tensorboard-experiment-id',
flags.GetTensorboardExperimentResourceSpec(),
'To list Tensorboard runs',
required=True).AddToParser(parser)
def _Run(args, version):
tensorboard_exp_ref = args.CONCEPTS.tensorboard_experiment_id.Parse()
region = tensorboard_exp_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=version, region=region):
return client.TensorboardRunsClient(version=version).List(
tensorboard_exp_ref=tensorboard_exp_ref,
limit=args.limit,
page_size=args.page_size,
sort_by=args.sort_by)
@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
class ListBeta(base.ListCommand):
"""List the Tensorboard runs of the given project, region, and Tensorboard experiment."""
detailed_help = {
'EXAMPLES':
"""\
To list Tensorboard Runs in Tensorboard `12345` and Tensorboard Experiment `my-tensorboard-experiment`:
$ {command} --tensorboard-id=12345 --tensorboard-experiment-id=my-tensorboard-experiment
""",
}
@staticmethod
def Args(parser):
concept_parsers.ConceptParser.ForResource(
'--tensorboard-experiment-id',
flags.GetTensorboardExperimentResourceSpec(),
'To list Tensorboard runs',
required=True).AddToParser(parser)
parser.display_info.AddUriFunc(_GetUriBeta)
def Run(self, args):
return _Run(args, constants.BETA_VERSION)

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# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Command to update a Tensorboard run in Vertex AI."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.ai.tensorboard_runs import client
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ai import constants
from googlecloudsdk.command_lib.ai import endpoint_util
from googlecloudsdk.command_lib.ai import errors
from googlecloudsdk.command_lib.ai import flags
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import log
def _AddArgs(parser):
flags.AddTensorboardRunResourceArg(parser, 'to update')
flags.GetDisplayNameArg('tensorboard run', required=False).AddToParser(parser)
flags.GetDescriptionArg('tensorboard run').AddToParser(parser)
labels_util.AddUpdateLabelsFlags(parser)
def _Run(args, version):
"""Update an existing Vertex AI Tensorboard run."""
tensorboard_run_ref = args.CONCEPTS.tensorboard_run.Parse()
args.region = tensorboard_run_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(version, region=args.region):
try:
op = client.TensorboardRunsClient(version=version).Patch(
tensorboard_run_ref, args)
except errors.NoFieldsSpecifiedError:
available_update_args = [
'display_name', 'update_labels', 'clear_labels', 'remove_labels',
'description'
]
if not any(args.IsSpecified(arg) for arg in available_update_args):
raise
log.status.Print('No update to perform.')
return None
else:
log.UpdatedResource(op.name, kind='Vertex AI Tensorboard run')
return op
@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
class UpdateBeta(base.UpdateCommand):
"""Update an existing Vertex AI Tensorboard run."""
detailed_help = {
'EXAMPLES':
"""\
To update Tensorboard Time Run `my-tensorboard-run` in Tensorboard `12345`, Tensorboard Experiment `my-tensorboard-experiment`, with the display name `updated display name`:
$ {command} projects/my-project/locations/us-central1/tensorboards/12345/experiments/my-tensorboard-experiment/runs/my-tensorboard-run --display-name="updated display name"
Or with flags:
$ {command} my-tensorboard-run --tensorboard-id=12345 --tensorboard-experiment-id=my-tensorboard-experiment --display-name="updated display name"
""",
}
@staticmethod
def Args(parser):
_AddArgs(parser)
def Run(self, args):
return _Run(args, constants.BETA_VERSION)