def tag_resource(
self,
resource_arn: "capo_resiliencehubv2.types.arn.Arn",
tags: "capo_resiliencehubv2.types.tag_map.TagMap",
*,
config_overrides: Optional[resiliencehubv2ClientConfig] = None,
) -> "capo_resiliencehubv2.types.tag_resource_response.TagResourceResponse":
"""<p>Adds tags to a resource.</p>
Raises:
capo_resiliencehubv2.errors.access_denied_exception.AccessDeniedException: <p>Access denied — caller lacks required permissions.</p>
capo_resiliencehubv2.errors.internal_server_exception.InternalServerException: <p>Internal service error.</p>
capo_resiliencehubv2.errors.resource_not_found_exception.ResourceNotFoundException: <p>Resource not found.</p>
capo_resiliencehubv2.errors.throttling_exception.ThrottlingException: <p>Too many requests — rate limit exceeded.</p>
capo_resiliencehubv2.errors.validation_exception.ValidationException: <p>Validation error — invalid input parameters.</p>
capo_resiliencehubv2.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_resiliencehubv2.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_resiliencehubv2.types.tag_resource_response.TagResourceResponse"
]:
import capo_resiliencehubv2._operations.ngrh_service_core.tag_resource
output, http_response = (
capo_resiliencehubv2._operations.ngrh_service_core.tag_resource.tag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_input(
input_: "capo_resiliencehubv2.types.tag_resource_request.TagResourceRequest",
) -> dict[str, Any]:
import capo_resiliencehubv2.types.tag_resource_request
return capo_resiliencehubv2.types.tag_resource_request.redact_sensitive(
input_
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("TagResource", redact_input=_redact_input),
)
input_: capo_resiliencehubv2.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