agent-claw: automated task changes

cdk/node_modules/aws-cdk-lib/aws-stepfunctions-tasks/lib/sagemaker/create-transform-job.d.ts

@@ -0,0 +1,136 @@
+import type { Construct } from 'constructs';
+import type { BatchStrategy, ModelClientOptions, TransformInput, TransformOutput, TransformResources } from './base-types';
+import * as iam from '../../../aws-iam';
+import * as sfn from '../../../aws-stepfunctions';
+import type { Size } from '../../../core';
+interface SageMakerCreateTransformJobOptions {
+    /**
+     * Transform Job Name.
+     */
+    readonly transformJobName: string;
+    /**
+     * Role for the Transform Job.
+     *
+     * @default - A role is created with `AmazonSageMakerFullAccess` managed policy
+     */
+    readonly role?: iam.IRole;
+    /**
+     * Number of records to include in a mini-batch for an HTTP inference request.
+     *
+     * @default - No batch strategy
+     */
+    readonly batchStrategy?: BatchStrategy;
+    /**
+     * Environment variables to set in the Docker container.
+     *
+     * @default - No environment variables
+     */
+    readonly environment?: {
+        [key: string]: string;
+    };
+    /**
+     * Maximum number of parallel requests that can be sent to each instance in a transform job.
+     *
+     * @default - Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm.
+     * If the execution-parameters endpoint is not enabled, the default value is 1.
+     */
+    readonly maxConcurrentTransforms?: number;
+    /**
+     * Maximum allowed size of the payload, in MB.
+     *
+     * @default 6
+     */
+    readonly maxPayload?: Size;
+    /**
+     * Name of the model that you want to use for the transform job.
+     */
+    readonly modelName: string;
+    /**
+     * Configures the timeout and maximum number of retries for processing a transform job invocation.
+     *
+     * @default - 0 retries and 60 seconds of timeout
+     */
+    readonly modelClientOptions?: ModelClientOptions;
+    /**
+     * Tags to be applied to the train job.
+     *
+     * @default - No tags
+     */
+    readonly tags?: {
+        [key: string]: string;
+    };
+    /**
+     * Dataset to be transformed and the Amazon S3 location where it is stored.
+     */
+    readonly transformInput: TransformInput;
+    /**
+     * S3 location where you want Amazon SageMaker to save the results from the transform job.
+     */
+    readonly transformOutput: TransformOutput;
+    /**
+     * ML compute instances for the transform job.
+     *
+     * @default - 1 instance of type M4.XLarge
+     */
+    readonly transformResources?: TransformResources;
+}
+/**
+ * Properties for creating an Amazon SageMaker transform job task using JSONPath
+ */
+export interface SageMakerCreateTransformJobJsonPathProps extends sfn.TaskStateJsonPathBaseProps, SageMakerCreateTransformJobOptions {
+}
+/**
+ * Properties for creating an Amazon SageMaker transform job task using JSONata
+ */
+export interface SageMakerCreateTransformJobJsonataProps extends sfn.TaskStateJsonataBaseProps, SageMakerCreateTransformJobOptions {
+}
+/**
+ * Properties for creating an Amazon SageMaker transform job task
+ */
+export interface SageMakerCreateTransformJobProps extends sfn.TaskStateBaseProps, SageMakerCreateTransformJobOptions {
+}
+/**
+ * Class representing the SageMaker Create Transform Job task.
+ */
+export declare class SageMakerCreateTransformJob extends sfn.TaskStateBase {
+    private readonly props;
+    /**
+     * Class representing the SageMaker Create Transform Job task using JSONPath.
+     */
+    static jsonPath(scope: Construct, id: string, props: SageMakerCreateTransformJobJsonPathProps): SageMakerCreateTransformJob;
+    /**
+     * Class representing the SageMaker Create Transform Job task using JSONata.
+     */
+    static jsonata(scope: Construct, id: string, props: SageMakerCreateTransformJobJsonataProps): SageMakerCreateTransformJob;
+    private static readonly SUPPORTED_INTEGRATION_PATTERNS;
+    protected readonly taskPolicies?: iam.PolicyStatement[];
+    protected readonly taskMetrics?: sfn.TaskMetricsConfig;
+    /**
+     * Dataset to be transformed and the Amazon S3 location where it is stored.
+     */
+    private readonly transformInput;
+    /**
+     * ML compute instances for the transform job.
+     */
+    private readonly transformResources;
+    private readonly integrationPattern;
+    private _role?;
+    constructor(scope: Construct, id: string, props: SageMakerCreateTransformJobProps);
+    /**
+     * @internal
+     */
+    protected _renderTask(topLevelQueryLanguage?: sfn.QueryLanguage): any;
+    /**
+     * The execution role for the Sagemaker transform job.
+     *
+     * Only available after task has been added to a state machine.
+     */
+    get role(): iam.IRole;
+    private renderParameters;
+    private renderModelClientOptions;
+    private renderTransformInput;
+    private renderTransformOutput;
+    private renderTransformResources;
+    private makePolicyStatements;
+}
+export {};