tag_resource ¶

def tag_resource(
    self,
    resource_arn: "capo_amplify.types.resource_arn.ResourceArn",
    tags: "capo_amplify.types.tag_map.TagMap",
    *,
    config_overrides: Optional[AmplifyClientConfig] = None,
) -> "capo_amplify.types.tag_resource_response.TagResourceResponse":
    """<p>Tags the resource with a tag key and value.</p>

    Args:
        resource_arn: <p> The Amazon Resource Name (ARN) to use to tag a resource. </p>
        tags: <p>The tags used to tag the resource. </p>

    Raises:
        capo_amplify.errors.bad_request_exception.BadRequestException: <p>A request contains unexpected data. </p>
        capo_amplify.errors.internal_failure_exception.InternalFailureException: <p>The service failed to perform an operation due to an internal issue. </p>
        capo_amplify.errors.resource_not_found_exception.ResourceNotFoundException: <p>An operation failed due to a non-existent resource. </p>
        capo_amplify.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

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

        output, http_response = (
            capo_amplify._operations.amplify.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_amplify.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