stop_bulk_deployment ¶

def stop_bulk_deployment(
    self,
    bulk_deployment_id: "capo_greengrass.types.__string.__string",
    *,
    config_overrides: Optional[GreengrassClientConfig] = None,
) -> (
    "capo_greengrass.types.stop_bulk_deployment_response.StopBulkDeploymentResponse"
):
    """Stops the execution of a bulk deployment. This action returns a status of ''Stopping'' until the deployment is stopped. You cannot start a new bulk deployment while a previous deployment is in the ''Stopping'' state. This action doesn't rollback completed deployments or cancel pending deployments.

    Args:
        bulk_deployment_id: The ID of the bulk deployment.

    Raises:
        capo_greengrass.errors.bad_request_exception.BadRequestException: General error information.
        capo_greengrass.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_greengrass.types.stop_bulk_deployment_request.StopBulkDeploymentRequest]",
    ) -> OperationResponse[
        "capo_greengrass.types.stop_bulk_deployment_response.StopBulkDeploymentResponse"
    ]:
        import capo_greengrass._operations.greengrass.stop_bulk_deployment

        output, http_response = (
            capo_greengrass._operations.greengrass.stop_bulk_deployment.stop_bulk_deployment(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StopBulkDeployment")
    )
    input_: capo_greengrass.types.stop_bulk_deployment_request.StopBulkDeploymentRequest = {
        "bulk_deployment_id": bulk_deployment_id
    }

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