pause_service ¶

def pause_service(
    self,
    service_arn: "capo_apprunner.types.app_runner_resource_arn.AppRunnerResourceArn",
    *,
    config_overrides: Optional[AppRunnerClientConfig] = None,
) -> "capo_apprunner.types.pause_service_response.PauseServiceResponse":
    """<p>Pause an active App Runner service. App Runner reduces compute capacity for the service to zero and loses state (for example, ephemeral storage is removed).</p> <p>This is an asynchronous operation. On a successful call, you can use the returned <code>OperationId</code> and the <a>ListOperations</a> call to track the operation's progress.</p>

    Args:
        service_arn: <p>The Amazon Resource Name (ARN) of the App Runner service that you want to pause.</p>

    Raises:
        capo_apprunner.errors.internal_service_error_exception.InternalServiceErrorException: <p>An unexpected service exception occurred.</p>
        capo_apprunner.errors.invalid_request_exception.InvalidRequestException: <p>One or more input parameters aren't valid. Refer to the API action's document page, correct the input parameters, and try the action again.</p>
        capo_apprunner.errors.invalid_state_exception.InvalidStateException: <p>You can't perform this action when the resource is in its current state.</p>
        capo_apprunner.errors.resource_not_found_exception.ResourceNotFoundException: <p>A resource doesn't exist for the specified Amazon Resource Name (ARN) in your Amazon Web Services account.</p>
        capo_apprunner.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_apprunner.types.pause_service_request.PauseServiceRequest]",
    ) -> OperationResponse[
        "capo_apprunner.types.pause_service_response.PauseServiceResponse"
    ]:
        import capo_apprunner._operations.app_runner.pause_service

        output, http_response = (
            capo_apprunner._operations.app_runner.pause_service.pause_service(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_apprunner.types.pause_service_response.PauseServiceResponse",
    ) -> dict[str, Any]:
        import capo_apprunner.types.pause_service_response

        return capo_apprunner.types.pause_service_response.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("PauseService", redact_output=_redact_output),
    )
    input_: capo_apprunner.types.pause_service_request.PauseServiceRequest = {
        "service_arn": service_arn
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output