tag_resource ¶

def tag_resource(
    self,
    resource_arn: "capo_odb.types.resource_arn.ResourceArn",
    tags: "capo_odb.types.request_tag_map.RequestTagMap",
    *,
    config_overrides: Optional[odbClientConfig] = None,
) -> "capo_odb.types.tag_resource_response.TagResourceResponse":
    """<p>Applies tags to the specified resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource to apply tags to.</p>
        tags: <p>The list of tags to apply to the resource.</p>

    Raises:
        capo_odb.errors.resource_not_found_exception.ResourceNotFoundException: <p>The operation tried to access a resource that doesn't exist. Make sure you provided the correct resource and try again.</p>
        capo_odb.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>You have exceeded the service quota.</p>
        capo_odb.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

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

        output, http_response = capo_odb._operations.odb.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_odb.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