Adding some basic samples for autogenerated SDKv2 for TypeSript language

sdk/typescript/.env

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+SUBSCRIPTION_ID=<SUBSCRIPTION_ID>
+RESOURCEGROUP_NAME=<RG_NAME>
+WORKSPACE_NAME=<WORKSPACE_NAME>
+LOCATION_NAME=eastus
+
+# Used to authenticate using Azure AD as a service principal for role-based authentication.
+#
+# See the documentation for `EnvironmentCredential` at the following link:
+# https://docs.microsoft.com/javascript/api/@azure/identity/environmentcredential
+# AZURE_TENANT_ID=<AD tenant id or name>
+# AZURE_CLIENT_ID=<ID of the user/service principal to authenticate as>
+# AZURE_CLIENT_SECRET=<client secret used to authenticate to Azure AD>

sdk/typescript/README.md

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+# AzureMachineLearningWorkspaces client library for JavaScript
+
+This package contains an isomorphic SDK (runs both in Node.js and in browsers) for AzureMachineLearningWorkspaces client.
+
+These APIs allow end users to operate on Azure Machine Learning Workspace resources.
+
+[Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearning/arm-machinelearning) |
+[Package (NPM)](https://www.npmjs.com/package/@azure/arm-machinelearning) |
+[API reference documentation](https://docs.microsoft.com/javascript/api/@azure/arm-machinelearning) |
+[Samples](https://github.com/Azure-Samples/azure-samples-js-management)
+
+## Getting started
+
+### Currently supported environments
+
+- [LTS versions of Node.js](https://github.com/nodejs/release#release-schedule)
+- Latest versions of Safari, Chrome, Edge and Firefox.
+
+See our [support policy](https://github.com/Azure/azure-sdk-for-js/blob/main/SUPPORT.md) for more details.
+
+### Prerequisites
+
+- An [Azure subscription][azure_sub].
+
+### Install the `@azure/arm-machinelearning` package
+
+Install the AzureMachineLearningWorkspaces client library for JavaScript with `npm`:
+
+```bash
+npm install @azure/arm-machinelearning
+```
+
+### Create and authenticate a `AzureMachineLearningWorkspaces`
+
+To create a client object to access the AzureMachineLearningWorkspaces API, you will need the `endpoint` of your AzureMachineLearningWorkspaces resource and a `credential`. The AzureMachineLearningWorkspaces client can use Azure Active Directory credentials to authenticate.
+You can find the endpoint for your AzureMachineLearningWorkspaces resource in the [Azure Portal][azure_portal].
+
+You can authenticate with Azure Active Directory using a credential from the [@azure/identity][azure_identity] library or [an existing AAD Token](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/identity/identity/samples/AzureIdentityExamples.md#authenticating-with-a-pre-fetched-access-token).
+
+To use the [DefaultAzureCredential][defaultazurecredential] provider shown below, or other credential providers provided with the Azure SDK, please install the `@azure/identity` package:
+
+```bash
+npm install @azure/identity
+```
+
+You will also need to **register a new AAD application and grant access to AzureMachineLearningWorkspaces** by assigning the suitable role to your service principal (note: roles such as `"Owner"` will not grant the necessary permissions).
+Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: `AZURE_CLIENT_ID`, `AZURE_TENANT_ID`, `AZURE_CLIENT_SECRET`.
+
+For more information about how to create an Azure AD Application check out [this guide](https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal).
+
+```javascript
+const { AzureMachineLearningWorkspaces } = require("@azure/arm-machinelearning");
+const { DefaultAzureCredential } = require("@azure/identity");
+// For client-side applications running in the browser, use InteractiveBrowserCredential instead of DefaultAzureCredential. See https://aka.ms/azsdk/js/identity/examples for more details.
+
+const subscriptionId = "00000000-0000-0000-0000-000000000000";
+const client = new AzureMachineLearningWorkspaces(new DefaultAzureCredential(), subscriptionId);
+
+// For client-side applications running in the browser, use this code instead:
+// const credential = new InteractiveBrowserCredential({
+//   tenantId: "<YOUR_TENANT_ID>",
+//   clientId: "<YOUR_CLIENT_ID>"
+// });
+// const client = new AzureMachineLearningWorkspaces(credential, subscriptionId);
+```
+
+
+### JavaScript Bundle
+To use this client library in the browser, first you need to use a bundler. For details on how to do this, please refer to our [bundling documentation](https://aka.ms/AzureSDKBundling).
+
+## Key concepts
+
+### AzureMachineLearningWorkspaces
+
+`AzureMachineLearningWorkspaces` is the primary interface for developers using the AzureMachineLearningWorkspaces client library. Explore the methods on this client object to understand the different features of the AzureMachineLearningWorkspaces service that you can access.
+
+## Troubleshooting
+
+### Logging
+
+Enabling logging may help uncover useful information about failures. In order to see a log of HTTP requests and responses, set the `AZURE_LOG_LEVEL` environment variable to `info`. Alternatively, logging can be enabled at runtime by calling `setLogLevel` in the `@azure/logger`:
+
+```javascript
+const { setLogLevel } = require("@azure/logger");
+setLogLevel("info");
+```
+
+For more detailed instructions on how to enable logs, you can look at the [@azure/logger package docs](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/core/logger).
+
+## Next steps
+
+Please take a look at the [samples](https://github.com/Azure-Samples/azure-samples-js-management) directory for detailed examples on how to use this library.
+
+## Contributing
+
+If you'd like to contribute to this library, please read the [contributing guide](https://github.com/Azure/azure-sdk-for-js/blob/main/CONTRIBUTING.md) to learn more about how to build and test the code.
+
+## Related projects
+
+- [Microsoft Azure SDK for JavaScript](https://github.com/Azure/azure-sdk-for-js)
+
+![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-js%2Fsdk%2Fmachinelearning%2Farm-machinelearning%2FREADME.png)
+
+[azure_cli]: https://docs.microsoft.com/cli/azure
+[azure_sub]: https://azure.microsoft.com/free/
+[azure_sub]: https://azure.microsoft.com/free/
+[azure_portal]: https://portal.azure.com
+[azure_identity]: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity
+[defaultazurecredential]: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity#defaultazurecredential

sdk/typescript/package.json

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+{
+  "name": "@azure-samples/machinelearning-ts",
+  "private": true,
+  "version": "1.0.0",
+  "description": "Azure machinelearning client library samples for TypeScript",
+  "engines": {
+    "node": ">=14.0.0"
+  },
+  "scripts": {
+    "build": "tsc",
+    "prebuild": "rimraf dist/"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/Azure/azure-sdk-for-js.git",
+    "directory": "sdk/machinelearning/arm-machinelearning"
+  },
+  "keywords": [
+    "node",
+    "azure",
+    "typescript",
+    "browser",
+    "cloud",
+    "isomorphic",
+    "machinelearning"
+  ],
+  "author": "Microsoft Corporation",
+  "license": "MIT",
+  "bugs": {
+    "url": "https://github.com/Azure/azure-sdk-for-js/issues"
+  },
+  "homepage": "https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearning/arm-machinelearning",
+  "dependencies": {
+    "@azure/arm-machinelearning": "file:../azure-arm-machinelearning-2.1.0/package",
+    "@azure/identity": "^2.1.0-beta.2",
+    "@azure/keyvault-secrets": "latest",
+    "dotenv": "latest"
+  },
+  "devDependencies": {
+    "@types/node": "^14.0.0",
+    "typescript": "~4.8.0",
+    "rimraf": "latest"
+  }
+}

sdk/typescript/src/resources/compute/computeCreateOrUpdate.ts

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+
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT license.
+
+/**
+ * @summary Gets computes in specified workspace.
+ */
+ import {
+  ComputeResource
+} from "@azure/arm-machinelearning";
+// import { DefaultAzureCredential } from "@azure/identity";
+import { client, getEnvironmentVariable } from "../../utils";
+
+// Load the .env file if it exists
+import * as dotenv from "dotenv";
+dotenv.config();
+
+// const subscriptionId = getEnvironmentVariable("SUBSCRIPTION_ID");
+const resourceGroupName = getEnvironmentVariable("RESOURCEGROUP_NAME");
+const workspaceName = getEnvironmentVariable("WORKSPACE_NAME");
+const azureLocation = getEnvironmentVariable("LOCATION_NAME");
+
+/**
+ * This sample demonstrates how to Creates or updates compute. This call will overwrite a compute if it exists. This is a nonrecoverable operation. If your intent is to create a new compute, do a GET first to verify that it does not exist yet.
+ *
+ * @summary Creates or updates compute. This call will overwrite a compute if it exists. This is a nonrecoverable operation. If your intent is to create a new compute, do a GET first to verify that it does not exist yet.
+ * x-ms-original-file: specification/machinelearningservices/resource-manager/Microsoft.MachineLearningServices/stable/2022-10-01/examples/Compute/createOrUpdate/BasicAmlCompute.json
+ */
+ async function createAmlCompute() {
+  const computeName = "compute1234";
+  const vmSize = "Standard_DS3_v2";
+  const parameters: ComputeResource = {
+    location: azureLocation,
+    properties: {
+      computeType: "AmlCompute",
+      properties: {
+        enableNodePublicIp: true,
+        isolatedNetwork: false,
+        osType: "Linux",
+        // remoteLoginPortPublicAccess: "NotSpecified",
+        scaleSettings: {
+          maxNodeCount: 3,
+          minNodeCount: 0,
+          nodeIdleTimeBeforeScaleDown: "PT5M"
+        },
+        vmPriority: "Dedicated",
+        vmSize: vmSize
+      }
+    }
+  };
+  // const credential = new DefaultAzureCredential();
+  // const client = new AzureMachineLearningWorkspaces(credential, subscriptionId);
+  try {
+    console.log("Creating an AmlCompute ...");
+    let amlComputeOperationsResponse = await client.computeOperations.beginCreateOrUpdateAndWait(
+      resourceGroupName,
+      workspaceName,
+      computeName,
+      parameters
+    );
+    console.log(amlComputeOperationsResponse);
+    console.log(`Created AmlCompute ${amlComputeOperationsResponse.name} successfully`);
+  } catch (err: any) {
+    console.log(
+      `errorMessage - ${err.message}\n`
+    );
+  }
+}
+
+
+/**
+ * This sample demonstrates how to Creates or updates compute. This call will overwrite a compute if it exists. This is a nonrecoverable operation. If your intent is to create a new compute, do a GET first to verify that it does not exist yet.
+ *
+ * @summary Creates or updates compute. This call will overwrite a compute if it exists. This is a nonrecoverable operation. If your intent is to create a new compute, do a GET first to verify that it does not exist yet.
+ * x-ms-original-file: specification/machinelearningservices/resource-manager/Microsoft.MachineLearningServices/stable/2022-10-01/examples/Compute/createOrUpdate/BasicAKSCompute.json
+ */
+ async function createAksCompute() {
+  const computeName = "akscompute123";
+  const parameters: ComputeResource = {
+    location: azureLocation,
+    properties: { computeType: "AKS" }
+  };
+  // const credential = new DefaultAzureCredential();
+  // const client = new AzureMachineLearningWorkspaces(credential, subscriptionId);
+  try {
+    console.log("Creating an AksCompute ...");
+    const aksComputeOperationsResponse = await client.computeOperations.beginCreateOrUpdateAndWait(
+      resourceGroupName,
+      workspaceName,
+      computeName,
+      parameters
+    );
+    console.log(aksComputeOperationsResponse);
+    console.log(`Created AksCompute ${aksComputeOperationsResponse.name} successfully`);
+  } catch (err: any) {
+    console.log(
+      `errorMessage - ${err.message}\n`
+    );
+  }
+}
+
+// getComputes().catch(console.error);
+
+export async function main(): Promise<void> {
+  // This sample uses DefaultAzureCredential, which supports a number of authentication mechanisms.
+  // See https://docs.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest for more information
+  // about DefaultAzureCredential and the other credentials that are available for use.
+  //console.log("Creating an AML Compute");
+  await createAmlCompute();
+  //console.log("Creating an AKS Compute");
+   await createAksCompute();
+}
+
+main().catch((error: any) => {
+  console.error("An error occurred:", error);
+  console.log("error code: ", error.code);
+  console.log("error message: ", error.message);
+  console.log("error stack: ", error.stack);
+  process.exit(1);
+});

sdk/typescript/src/resources/compute/computeList.ts

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+
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT license.
+
+/**
+ * @summary Gets computes in specified workspace.
+ */
+ import { client, getEnvironmentVariable } from "../../utils";
+
+// Load the .env file if it exists
+import * as dotenv from "dotenv";
+dotenv.config();
+
+/**
+ * This sample demonstrates how to Gets computes in specified workspace.
+ *
+ * @summary Gets computes in specified workspace.
+ * x-ms-original-file: specification/machinelearningservices/resource-manager/Microsoft.MachineLearningServices/stable/2022-10-01/examples/Compute/list.json
+ */
+async function getComputes() {
+// const subscriptionId = getEnvironmentVariable("SUBSCRIPTION_ID");
+const resourceGroupName = getEnvironmentVariable("RESOURCEGROUP_NAME");
+const workspaceName = getEnvironmentVariable("WORKSPACE_NAME");
+
+  for await (let computeItem of client.computeOperations.list(
+    resourceGroupName,
+    workspaceName
+  )){
+    console.log(computeItem);
+  }
+  const resArray = new Array();
+  for await (let item of client.computeOperations.list(
+    resourceGroupName,
+    workspaceName
+  )) {
+    resArray.push(item);
+  }
+  console.log(resArray);
+}
+
+// getComputes().catch(console.error);
+
+export async function main(): Promise<void> {
+  // This sample uses DefaultAzureCredential, which supports a number of authentication mechanisms.
+  // See https://docs.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest for more information
+  // about DefaultAzureCredential and the other credentials that are available for use.
+  console.log("Listing the Compute");
+  await getComputes();
+}
+
+main().catch((error) => {
+  console.error("An error occurred:", error);
+  console.log("error code: ", error.code);
+  console.log("error message: ", error.message);
+  console.log("error stack: ", error.stack);
+  process.exit(1);
+});

sdk/typescript/src/resources/workspace/workspacesListBySubscriptionSample.ts

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+
+// Copyright (c) Microsoft Corporation.
+// Licensed under the MIT license.
+
+/**
+ * @summary Lists all the available machine learning workspaces under the specified subscription.
+ */
+ import { client, getEnvironmentVariable } from "../../utils";
+
+/**
+ * This sample demonstrates how to Lists all the available machine learning workspaces under the specified subscription.
+ *
+ * @summary Lists all the available machine learning workspaces under the specified subscription.
+ * x-ms-original-file: specification/machinelearningservices/resource-manager/Microsoft.MachineLearningServices/stable/2022-10-01/examples/Workspace/listBySubscription.json
+ */
+async function getWorkspacesBySubscription() {
+  const resArray = new Array();
+  for await (let item of client.workspaces.listBySubscription()) {
+    resArray.push(item);
+  }
+  console.log(resArray);
+}
+
+// getWorkspacesBySubscription().catch(console.error);
+
+export async function main(): Promise<void> {
+  // This sample uses DefaultAzureCredential, which supports a number of authentication mechanisms.
+  // See https://docs.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest for more information
+  // about DefaultAzureCredential and the other credentials that are available for use.
+  console.log("Listing the workspaces");
+  await getWorkspacesBySubscription();
+}
+
+main().catch((error) => {
+  console.error("An error occurred:", error);
+  console.log("error code: ", error.code);
+  console.log("error message: ", error.message);
+  console.log("error stack: ", error.stack);
+  process.exit(1);
+});