def _Run(args, version):
"""Update an existing Vertex AI Tensorboard."""
tensorboard_ref = args.CONCEPTS.tensorboard.Parse()
args.region = tensorboard_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(version, region=args.region):
tensorboards_client = client.TensorboardsClient(version=version)
try:
op = tensorboards_client.Patch(tensorboard_ref, args)
except errors.NoFieldsSpecifiedError:
available_update_args = [
'display_name',
'description',
'update_labels',
'clear_labels',
'remove_labels',
]
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')
return op
def _Run(self, args):
tensorboard_ref = args.CONCEPTS.tensorboard.Parse()
region = tensorboard_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.ALPHA_VERSION, region=region):
response = client.TensorboardsClient().Get(tensorboard_ref)
return response
def _Run(args, version):
tensorboard_ref = args.CONCEPTS.tensorboard.Parse()
region = tensorboard_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(version=version,
region=region):
response = client.TensorboardsClient(
version=version).Get(tensorboard_ref)
return response
def _Run(self, args):
region_ref = args.CONCEPTS.region.Parse()
region = region_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.ALPHA_VERSION, region=region):
return client.TensorboardsClient().List(limit=args.limit,
page_size=args.page_size,
region_ref=region_ref,
sort_by=args.sort_by)
def _Run(self, args):
tensorboard_ref = args.CONCEPTS.tensorboard.Parse()
region = tensorboard_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.ALPHA_VERSION, region=region):
operation = client.TensorboardsClient().Delete(tensorboard_ref)
return operations_util.WaitForOpMaybe(
operations_client=operations.OperationsClient(),
op=operation,
op_ref=tensorboards_util.ParseTensorboardOperation(
operation.name))
def _Run(args, version):
"""Create a new Vertex AI Tensorboard."""
validation.ValidateDisplayName(args.display_name)
region_ref = args.CONCEPTS.region.Parse()
args.region = region_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(version,
region=args.region):
tensorboards_client = client.TensorboardsClient(version=version)
operation_client = operations.OperationsClient()
op = tensorboards_client.Create(region_ref, args)
response_msg = operations_util.WaitForOpMaybe(
operation_client, op,
tensorboards_util.ParseTensorboardOperation(op.name))
if response_msg is not None:
response = encoding.MessageToPyValue(response_msg)
if 'name' in response:
log.status.Print(('Created Vertex AI Tensorboard: {}.').format(
response['name']))
return response_msg
