tag_resource ¶

def tag_resource(
    self,
    resource_arn: "capo_rbin.types.rule_arn.RuleArn",
    tags: "capo_rbin.types.tag_list.TagList",
    *,
    config_overrides: Optional[rbinClientConfig] = None,
) -> "capo_rbin.types.tag_resource_response.TagResourceResponse":
    """<p>Assigns tags to the specified retention rule.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the retention rule.</p>
        tags: <p>Information about the tags to assign to the retention rule.</p>

    Raises:
        capo_rbin.errors.internal_server_exception.InternalServerException: <p>The service could not respond to the request due to an internal problem.</p>
        capo_rbin.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_rbin.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The request would cause a service quota for the number of tags per resource to be exceeded.</p>
        capo_rbin.errors.validation_exception.ValidationException: <p>One or more of the parameters in the request is not valid.</p>
        capo_rbin.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_rbin.types.tag_resource_request.TagResourceRequest]",
    ) -> OperationResponse[
        "capo_rbin.types.tag_resource_response.TagResourceResponse"
    ]:
        import capo_rbin._operations.amazon_recycle_bin.tag_resource

        output, http_response = (
            capo_rbin._operations.amazon_recycle_bin.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_rbin.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