create_edge_deployment_plan async ¶

async def create_edge_deployment_plan(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    edge_deployment_plan_name: Optional[
        "capo_sagemaker.types.entity_name.EntityName"
    ] = None,
    model_configs: Optional[
        "capo_sagemaker.types.edge_deployment_model_configs.EdgeDeploymentModelConfigs"
    ] = None,
    device_fleet_name: Optional[
        "capo_sagemaker.types.entity_name.EntityName"
    ] = None,
    stages: Optional[
        "capo_sagemaker.types.deployment_stages.DeploymentStages"
    ] = None,
    tags: Optional["capo_sagemaker.types.tag_list.TagList"] = None,
) -> "capo_sagemaker.types.create_edge_deployment_plan_response.CreateEdgeDeploymentPlanResponse":
    """<p>Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.</p>

    Args:
        edge_deployment_plan_name: <p>The name of the edge deployment plan.</p>
        model_configs: <p>List of models associated with the edge deployment plan.</p>
        device_fleet_name: <p>The device fleet used for this edge deployment plan.</p>
        stages: <p>List of stages of the edge deployment plan. The number of stages is limited to 10 per deployment.</p>
        tags: <p>List of tags with which to tag the edge deployment plan.</p>

    Raises:
        capo_sagemaker.errors.resource_limit_exceeded.ResourceLimitExceeded: <p> You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. </p>
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemaker.types.create_edge_deployment_plan_request.CreateEdgeDeploymentPlanRequest]",
    ) -> AsyncOperationResponse[
        "capo_sagemaker.types.create_edge_deployment_plan_response.CreateEdgeDeploymentPlanResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.create_edge_deployment_plan

        (
            output,
            http_response,
        ) = await capo_sagemaker._operations.sage_maker.create_edge_deployment_plan.async_create_edge_deployment_plan(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateEdgeDeploymentPlan")
    )
    input_: capo_sagemaker.types.create_edge_deployment_plan_request.CreateEdgeDeploymentPlanRequest = {}
    if edge_deployment_plan_name is not None:
        input_["edge_deployment_plan_name"] = edge_deployment_plan_name
    if model_configs is not None:
        input_["model_configs"] = model_configs
    if device_fleet_name is not None:
        input_["device_fleet_name"] = device_fleet_name
    if stages is not None:
        input_["stages"] = stages
    if tags is not None:
        input_["tags"] = tags

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output