Update API CreateDataset: add request parameters WorkflowParameters.

Author: sdk-team

imm-20200930/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@alicloud/imm20200930",
-  "version": "4.4.3",
+  "version": "4.4.4",
   "description": "",
   "main": "dist/client.js",
   "scripts": {

imm-20200930/src/client.ts

@@ -1251,12 +1251,18 @@ export default class Client extends OpenApi {
    * *   A project has an upper limit on the number of datasets that can be created in the project. You can call the [GetProjcet](https://help.aliyun.com/document_detail/478155.html) operation to query the dataset limit of the project.
    * *   After creating a dataset, you can call the [IndexFileMeta](https://help.aliyun.com/document_detail/478166.html) operation to index metadata. Metadata indexing enhances [data retrieval efficiency and statistics collection](https://help.aliyun.com/document_detail/478175.html), and enables intelligent data management.
    * 
-   * @param request - CreateDatasetRequest
+   * @param tmpReq - CreateDatasetRequest
    * @param runtime - runtime options for this request RuntimeOptions
    * @returns CreateDatasetResponse
    */
-  async createDatasetWithOptions(request: $_model.CreateDatasetRequest, runtime: $dara.RuntimeOptions): Promise<$_model.CreateDatasetResponse> {
-    request.validate();
+  async createDatasetWithOptions(tmpReq: $_model.CreateDatasetRequest, runtime: $dara.RuntimeOptions): Promise<$_model.CreateDatasetResponse> {
+    tmpReq.validate();
+    let request = new $_model.CreateDatasetShrinkRequest({ });
+    OpenApiUtil.convert(tmpReq, request);
+    if (!$dara.isNull(tmpReq.workflowParameters)) {
+      request.workflowParametersShrink = OpenApiUtil.arrayToStringWithSpecifiedStyle(tmpReq.workflowParameters, "WorkflowParameters", "json");
+    }
+
     let query = { };
     if (!$dara.isNull(request.datasetMaxBindCount)) {
       query["DatasetMaxBindCount"] = request.datasetMaxBindCount;
@@ -1294,6 +1300,10 @@ export default class Client extends OpenApi {
       query["TemplateId"] = request.templateId;
     }
 
+    if (!$dara.isNull(request.workflowParametersShrink)) {
+      query["WorkflowParameters"] = request.workflowParametersShrink;
+    }
+
     let req = new $OpenApiUtil.OpenApiRequest({
       query: OpenApiUtil.query(query),
     });
@@ -7725,12 +7735,18 @@ export default class Client extends OpenApi {
   /**
    * Updates a dataset.
    * 
-   * @param request - UpdateDatasetRequest
+   * @param tmpReq - UpdateDatasetRequest
    * @param runtime - runtime options for this request RuntimeOptions
    * @returns UpdateDatasetResponse
    */
-  async updateDatasetWithOptions(request: $_model.UpdateDatasetRequest, runtime: $dara.RuntimeOptions): Promise<$_model.UpdateDatasetResponse> {
-    request.validate();
+  async updateDatasetWithOptions(tmpReq: $_model.UpdateDatasetRequest, runtime: $dara.RuntimeOptions): Promise<$_model.UpdateDatasetResponse> {
+    tmpReq.validate();
+    let request = new $_model.UpdateDatasetShrinkRequest({ });
+    OpenApiUtil.convert(tmpReq, request);
+    if (!$dara.isNull(tmpReq.workflowParameters)) {
+      request.workflowParametersShrink = OpenApiUtil.arrayToStringWithSpecifiedStyle(tmpReq.workflowParameters, "WorkflowParameters", "json");
+    }
+
     let query = { };
     if (!$dara.isNull(request.datasetMaxBindCount)) {
       query["DatasetMaxBindCount"] = request.datasetMaxBindCount;
@@ -7768,6 +7784,10 @@ export default class Client extends OpenApi {
       query["TemplateId"] = request.templateId;
     }
 
+    if (!$dara.isNull(request.workflowParametersShrink)) {
+      query["WorkflowParameters"] = request.workflowParametersShrink;
+    }
+
     let req = new $OpenApiUtil.OpenApiRequest({
       query: OpenApiUtil.query(query),
     });

imm-20200930/src/models/CreateDatasetRequest.ts

@@ -1,5 +1,6 @@
 // This file is auto-generated, don't edit it
 import * as $dara from '@darabonba/typescript';
+import { WorkflowParameter } from "./WorkflowParameter";
 
 
 export class CreateDatasetRequest extends $dara.Model {
@@ -83,6 +84,7 @@ export class CreateDatasetRequest extends $dara.Model {
    * Official:AllFunction
    */
   templateId?: string;
+  workflowParameters?: WorkflowParameter[];
   static names(): { [key: string]: string } {
     return {
       datasetMaxBindCount: 'DatasetMaxBindCount',
@@ -94,6 +96,7 @@ export class CreateDatasetRequest extends $dara.Model {
       description: 'Description',
       projectName: 'ProjectName',
       templateId: 'TemplateId',
+      workflowParameters: 'WorkflowParameters',
     };
   }
 
@@ -108,10 +111,14 @@ export class CreateDatasetRequest extends $dara.Model {
       description: 'string',
       projectName: 'string',
       templateId: 'string',
+      workflowParameters: { 'type': 'array', 'itemType': WorkflowParameter },
     };
   }
 
   validate() {
+    if(Array.isArray(this.workflowParameters)) {
+      $dara.Model.validateArray(this.workflowParameters);
+    }
     super.validate();
   }
 

imm-20200930/src/models/CreateDatasetShrinkRequest.ts

@@ -0,0 +1,125 @@
+// This file is auto-generated, don't edit it
+import * as $dara from '@darabonba/typescript';
+
+
+export class CreateDatasetShrinkRequest extends $dara.Model {
+  /**
+   * @remarks
+   * The maximum number of bindings for the dataset. Valid values: 1 to 10. Default value: 10.
+   * 
+   * @example
+   * 10
+   */
+  datasetMaxBindCount?: number;
+  /**
+   * @remarks
+   * The maximum number of metadata entities in the dataset. Default value: 10000000000.
+   * 
+   * @example
+   * 10000000000
+   */
+  datasetMaxEntityCount?: number;
+  /**
+   * @remarks
+   * The maximum number of files in the dataset. Valid values: 1 to 100000000. Default value: 100000000.
+   * 
+   * @example
+   * 100000000
+   */
+  datasetMaxFileCount?: number;
+  /**
+   * @remarks
+   * The maximum number of metadata relationships in the dataset. Default value: 100000000000.
+   * 
+   * @example
+   * 100000000000
+   */
+  datasetMaxRelationCount?: number;
+  /**
+   * @remarks
+   * The maximum total file size for the dataset. If the total file size of the dataset exceeds this limit, indexes can no longer be added. Default value: 90000000000000000. Unit: bytes.
+   * 
+   * @example
+   * 90000000000000000
+   */
+  datasetMaxTotalFileSize?: number;
+  /**
+   * @remarks
+   * The name of the dataset. The dataset name must be unique in the same project. The name must meet the following requirements:
+   * 
+   * *   The name must be 1 to 128 characters in length.
+   * *   The name can contain only letters, digits, hyphens (-), and underscores (_).
+   * *   The name must start with a letter or underscore (_).
+   * 
+   * This parameter is required.
+   * 
+   * @example
+   * dataset001
+   */
+  datasetName?: string;
+  /**
+   * @remarks
+   * The description of the dataset. The description must be 1 to 256 characters in length. You can leave this parameter empty.
+   * 
+   * @example
+   * immtest
+   */
+  description?: string;
+  /**
+   * @remarks
+   * The name of the project.[](~~478153~~)
+   * 
+   * This parameter is required.
+   * 
+   * @example
+   * test-project
+   */
+  projectName?: string;
+  /**
+   * @remarks
+   * The ID of the workflow template. For more information, see [Workflow templates and operators](https://help.aliyun.com/document_detail/466304.html).
+   * 
+   * @example
+   * Official:AllFunction
+   */
+  templateId?: string;
+  workflowParametersShrink?: string;
+  static names(): { [key: string]: string } {
+    return {
+      datasetMaxBindCount: 'DatasetMaxBindCount',
+      datasetMaxEntityCount: 'DatasetMaxEntityCount',
+      datasetMaxFileCount: 'DatasetMaxFileCount',
+      datasetMaxRelationCount: 'DatasetMaxRelationCount',
+      datasetMaxTotalFileSize: 'DatasetMaxTotalFileSize',
+      datasetName: 'DatasetName',
+      description: 'Description',
+      projectName: 'ProjectName',
+      templateId: 'TemplateId',
+      workflowParametersShrink: 'WorkflowParameters',
+    };
+  }
+
+  static types(): { [key: string]: any } {
+    return {
+      datasetMaxBindCount: 'number',
+      datasetMaxEntityCount: 'number',
+      datasetMaxFileCount: 'number',
+      datasetMaxRelationCount: 'number',
+      datasetMaxTotalFileSize: 'number',
+      datasetName: 'string',
+      description: 'string',
+      projectName: 'string',
+      templateId: 'string',
+      workflowParametersShrink: 'string',
+    };
+  }
+
+  validate() {
+    super.validate();
+  }
+
+  constructor(map?: { [key: string]: any }) {
+    super(map);
+  }
+}
+

imm-20200930/src/models/File.ts

@@ -7,6 +7,7 @@ import { CroppingSuggestion } from "./CroppingSuggestion";
 import { Element } from "./Element";
 import { Figure } from "./Figure";
 import { ImageScore } from "./ImageScore";
+import { Insights } from "./Insights";
 import { Label } from "./Label";
 import { OCRContents } from "./Ocrcontents";
 import { SceneElement } from "./SceneElement";
@@ -52,6 +53,11 @@ export class File extends $dara.Model {
   imageHeight?: number;
   imageScore?: ImageScore;
   imageWidth?: number;
+  /**
+   * **if can be null:**
+   * true
+   */
+  insights?: Insights;
   labels?: Label[];
   language?: string;
   latLong?: string;
@@ -137,6 +143,7 @@ export class File extends $dara.Model {
       imageHeight: 'ImageHeight',
       imageScore: 'ImageScore',
       imageWidth: 'ImageWidth',
+      insights: 'Insights',
       labels: 'Labels',
       language: 'Language',
       latLong: 'LatLong',
@@ -225,6 +232,7 @@ export class File extends $dara.Model {
       imageHeight: 'number',
       imageScore: ImageScore,
       imageWidth: 'number',
+      insights: Insights,
       labels: { 'type': 'array', 'itemType': Label },
       language: 'string',
       latLong: 'string',
@@ -299,6 +307,9 @@ export class File extends $dara.Model {
     if(this.imageScore && typeof (this.imageScore as any).validate === 'function') {
       (this.imageScore as any).validate();
     }
+    if(this.insights && typeof (this.insights as any).validate === 'function') {
+      (this.insights as any).validate();
+    }
     if(Array.isArray(this.labels)) {
       $dara.Model.validateArray(this.labels);
     }

imm-20200930/src/models/ImageInsight.ts

@@ -0,0 +1,38 @@
+// This file is auto-generated, don't edit it
+import * as $dara from '@darabonba/typescript';
+
+
+export class ImageInsight extends $dara.Model {
+  /**
+   * **if can be null:**
+   * true
+   */
+  caption?: string;
+  /**
+   * **if can be null:**
+   * true
+   */
+  description?: string;
+  static names(): { [key: string]: string } {
+    return {
+      caption: 'Caption',
+      description: 'Description',
+    };
+  }
+
+  static types(): { [key: string]: any } {
+    return {
+      caption: 'string',
+      description: 'string',
+    };
+  }
+
+  validate() {
+    super.validate();
+  }
+
+  constructor(map?: { [key: string]: any }) {
+    super(map);
+  }
+}
+

imm-20200930/src/models/Insights.ts

@@ -0,0 +1,46 @@
+// This file is auto-generated, don't edit it
+import * as $dara from '@darabonba/typescript';
+import { ImageInsight } from "./ImageInsight";
+import { VideoInsight } from "./VideoInsight";
+
+
+export class Insights extends $dara.Model {
+  /**
+   * **if can be null:**
+   * true
+   */
+  image?: ImageInsight;
+  /**
+   * **if can be null:**
+   * true
+   */
+  video?: VideoInsight;
+  static names(): { [key: string]: string } {
+    return {
+      image: 'Image',
+      video: 'Video',
+    };
+  }
+
+  static types(): { [key: string]: any } {
+    return {
+      image: ImageInsight,
+      video: VideoInsight,
+    };
+  }
+
+  validate() {
+    if(this.image && typeof (this.image as any).validate === 'function') {
+      (this.image as any).validate();
+    }
+    if(this.video && typeof (this.video as any).validate === 'function') {
+      (this.video as any).validate();
+    }
+    super.validate();
+  }
+
+  constructor(map?: { [key: string]: any }) {
+    super(map);
+  }
+}
+