def untag_resource(
self,
resource_arn: "capo_drs.types.arn.ARN",
tag_keys: "capo_drs.types.tag_keys.TagKeys",
*,
config_overrides: Optional[drsClientConfig] = None,
) -> None:
"""<p>Deletes the specified set of tags from the specified set of Elastic Disaster Recovery resources.</p>
Args:
resource_arn: <p>ARN of the resource for which tags are to be removed.</p>
tag_keys: <p>Array of tags to be removed.</p>
Raises:
capo_drs.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_drs.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure.</p>
capo_drs.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource for this operation was not found.</p>
capo_drs.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_drs.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the AWS service.</p>
capo_drs.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_drs.types.untag_resource_request.UntagResourceRequest]",
) -> OperationResponse[None]:
import capo_drs._operations.elastic_disaster_recovery_service.untag_resource
output, http_response = (
capo_drs._operations.elastic_disaster_recovery_service.untag_resource.untag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_input(
input_: "capo_drs.types.untag_resource_request.UntagResourceRequest",
) -> dict[str, Any]:
import capo_drs.types.untag_resource_request
return capo_drs.types.untag_resource_request.redact_sensitive(input_)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("UntagResource", redact_input=_redact_input),
)
input_: capo_drs.types.untag_resource_request.UntagResourceRequest = {
"resource_arn": resource_arn,
"tag_keys": tag_keys,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output