untag_resource ¶

def untag_resource(
    self,
    resource_arn: "capo_iot.types.resource_arn.ResourceArn",
    tag_keys: "capo_iot.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[IoTClientConfig] = None,
) -> "capo_iot.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes the given tags (metadata) from the resource.</p> <p>Requires permission to access the <a href="https://docs.aws.amazon.com/service-authorization/latest/reference/list_awsiot.html#awsiot-actions-as-permissions">UntagResource</a> action.</p>

    Args:
        resource_arn: <p>The ARN of the resource.</p>
        tag_keys: <p>A list of the keys of the tags to be removed from the resource.</p>

    Raises:
        capo_iot.errors.internal_failure_exception.InternalFailureException: <p>An unexpected error has occurred.</p>
        capo_iot.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_iot.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource does not exist.</p>
        capo_iot.errors.throttling_exception.ThrottlingException: <p>The rate exceeds the limit.</p>
        capo_iot.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_iot.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[
        "capo_iot.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_iot._operations.aws_iot_service.untag_resource

        output, http_response = (
            capo_iot._operations.aws_iot_service.untag_resource.untag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UntagResource")
    )
    input_: capo_iot.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