Adds metadata tags to a FinSpace resource.
Parameters:
-
resource_arn
(FinSpaceTaggableArn)
–
The Amazon Resource Name (ARN) for the resource.
-
tags
(TagMap)
–
One or more tags to be assigned to the resource.
Raises:
Source code in docs_src/capo_finspace/_services/finspace.py
| def tag_resource(
self,
resource_arn: "capo_finspace.types.fin_space_taggable_arn.FinSpaceTaggableArn",
tags: "capo_finspace.types.tag_map.TagMap",
*,
config_overrides: Optional[finspaceClientConfig] = None,
) -> "capo_finspace.types.tag_resource_response.TagResourceResponse":
"""<p>Adds metadata tags to a FinSpace resource.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) for the resource.</p>
tags: <p>One or more tags to be assigned to the resource.</p>
Raises:
capo_finspace.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure.</p>
capo_finspace.errors.invalid_request_exception.InvalidRequestException: <p>The request is invalid. Something is wrong with the input to the request.</p>
capo_finspace.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
capo_finspace.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_finspace.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_finspace.types.tag_resource_response.TagResourceResponse"
]:
import capo_finspace._operations.aws_habanero_management_service.tag_resource
output, http_response = (
capo_finspace._operations.aws_habanero_management_service.tag_resource.tag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_finspace.types.tag_resource_request.TagResourceRequest = {
"resource_arn": resource_arn,
"tags": tags,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|