def tag_resource(
self,
resource_arn: "capo_cleanrooms.types.cleanrooms_arn.CleanroomsArn",
tags: "capo_cleanrooms.types.tag_map.TagMap",
*,
config_overrides: Optional[CleanRoomsClientConfig] = None,
) -> "capo_cleanrooms.types.tag_resource_output.TagResourceOutput":
"""<p>Tags a resource.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) associated with the resource you want to tag.</p>
tags: <p>A map of objects specifying each key name and value.</p>
Raises:
capo_cleanrooms.errors.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</p>
capo_cleanrooms.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
capo_cleanrooms.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_cleanrooms.types.tag_resource_input.TagResourceInput]",
) -> OperationResponse[
"capo_cleanrooms.types.tag_resource_output.TagResourceOutput"
]:
import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.tag_resource
output, http_response = (
capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.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_cleanrooms.types.tag_resource_input.TagResourceInput = {
"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