def tag_resource(
self,
resource_arn: "capo_frauddetector.types.fraud_detector_arn.fraudDetectorArn",
tags: "capo_frauddetector.types.tag_list.tagList",
*,
config_overrides: Optional[FraudDetectorClientConfig] = None,
) -> "capo_frauddetector.types.tag_resource_result.TagResourceResult":
"""<p>Assigns tags to a resource.</p>
Args:
resource_arn: <p>The resource ARN.</p>
tags: <p>The tags to assign to the resource.</p>
Raises:
capo_frauddetector.errors.access_denied_exception.AccessDeniedException: <p>An exception indicating Amazon Fraud Detector does not have the needed permissions. This can occur if you submit a request, such as <code>PutExternalModel</code>, that specifies a role that is not in your account.</p>
capo_frauddetector.errors.resource_not_found_exception.ResourceNotFoundException: <p>An exception indicating the specified resource was not found.</p>
capo_frauddetector.errors.throttling_exception.ThrottlingException: <p>An exception indicating a throttling error.</p>
capo_frauddetector.errors.validation_exception.ValidationException: <p>An exception indicating a specified value is not allowed.</p>
capo_frauddetector.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_frauddetector.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_frauddetector.types.tag_resource_result.TagResourceResult"
]:
import capo_frauddetector._operations.aws_hawks_nest_service_facade.tag_resource
output, http_response = (
capo_frauddetector._operations.aws_hawks_nest_service_facade.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_frauddetector.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