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[ReleasePR @azure/arm-machinelearningservices] Update MFE property descriptions to indicate if the property is required #16148

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Original file line number Diff line number Diff line change
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The MIT License (MIT)

Copyright (c) 2020 Microsoft
Copyright (c) 2021 Microsoft

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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98 changes: 53 additions & 45 deletions sdk/machinelearningservices/arm-machinelearningservices/README.md
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## Azure AzureMachineLearningWorkspaces SDK for JavaScript

This package contains an isomorphic SDK for AzureMachineLearningWorkspaces.
This package contains an isomorphic SDK (runs both in node.js and in browsers) for AzureMachineLearningWorkspaces.

### Currently supported environments

- Node.js version 6.x.x or higher
- Browser JavaScript
- [LTS versions of Node.js](https://nodejs.org/about/releases/)
- Latest versions of Safari, Chrome, Edge and Firefox.

### How to Install
### Prerequisites

You must have an [Azure subscription](https://azure.microsoft.com/free/).

### How to install

To use this SDK in your project, you will need to install two packages.
- `@azure/arm-machinelearningservices` that contains the client.
- `@azure/identity` that provides different mechanisms for the client to authenticate your requests using Azure Active Directory.

Install both packages using the below command:
```bash
npm install @azure/arm-machinelearningservices
npm install --save @azure/arm-machinelearningservices @azure/identity
```
> **Note**: You may have used either `@azure/ms-rest-nodeauth` or `@azure/ms-rest-browserauth` in the past. These packages are in maintenance mode receiving critical bug fixes, but no new features.
If you are on a [Node.js that has LTS status](https://nodejs.org/about/releases/), or are writing a client side browser application, we strongly encourage you to upgrade to `@azure/identity` which uses the latest versions of Azure Active Directory and MSAL APIs and provides more authentication options.

### How to use

#### nodejs - client creation and list operations as an example written in TypeScript.
- If you are writing a client side browser application,
- Follow the instructions in the section on Authenticating client side browser applications in [Azure Identity examples](https://aka.ms/azsdk/js/identity/examples) to register your application in the Microsoft identity platform and set the right permissions.
- Copy the client ID and tenant ID from the Overview section of your app registration in Azure portal and use it in the browser sample below.
- If you are writing a server side application,
- [Select a credential from `@azure/identity` based on the authentication method of your choice](https://aka.ms/azsdk/js/identity/examples)
- Complete the set up steps required by the credential if any.
- Use the credential you picked in the place of `DefaultAzureCredential` in the Node.js sample below.

##### Install @azure/ms-rest-nodeauth

- Please install minimum version of `"@azure/ms-rest-nodeauth": "^3.0.0"`.
```bash
npm install @azure/ms-rest-nodeauth@"^3.0.0"
```
In the below samples, we pass the credential and the Azure subscription id to instantiate the client.
Once the client is created, explore the operations on it either in your favorite editor or in our [API reference documentation](https://docs.microsoft.com/javascript/api) to get started.
#### nodejs - Authentication, client creation, and list operations as an example written in JavaScript.

##### Sample code

While the below sample uses the interactive login, other authentication options can be found in the [README.md file of @azure/ms-rest-nodeauth](https://www.npmjs.com/package/@azure/ms-rest-nodeauth) package
```typescript
const msRestNodeAuth = require("@azure/ms-rest-nodeauth");
```javascript
const { DefaultAzureCredential } = require("@azure/identity");
const { AzureMachineLearningWorkspaces } = require("@azure/arm-machinelearningservices");
const subscriptionId = process.env["AZURE_SUBSCRIPTION_ID"];

msRestNodeAuth.interactiveLogin().then((creds) => {
const client = new AzureMachineLearningWorkspaces(creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
});
// Use `DefaultAzureCredential` or any other credential of your choice based on https://aka.ms/azsdk/js/identity/examples
// Please note that you can also use credentials from the `@azure/ms-rest-nodeauth` package instead.
const creds = new DefaultAzureCredential();
const client = new AzureMachineLearningWorkspaces(creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
}).catch((err) => {
console.log("An error occurred:");
console.error(err);
});
```

#### browser - Authentication, client creation and list operations as an example written in JavaScript.
#### browser - Authentication, client creation, and list operations as an example written in JavaScript.

##### Install @azure/ms-rest-browserauth

```bash
npm install @azure/ms-rest-browserauth
```
In browser applications, we recommend using the `InteractiveBrowserCredential` that interactively authenticates using the default system browser.
- See [Single-page application: App registration guide](https://docs.microsoft.com/azure/active-directory/develop/scenario-spa-app-registration) to configure your app registration for the browser.
- Note down the client Id from the previous step and use it in the browser sample below.

##### Sample code

See https://github.com/Azure/ms-rest-browserauth to learn how to authenticate to Azure in the browser.

- index.html

```html
<!DOCTYPE html>
<html lang="en">
<head>
<title>@azure/arm-machinelearningservices sample</title>
<script src="node_modules/@azure/ms-rest-js/dist/msRest.browser.js"></script>
<script src="node_modules/@azure/ms-rest-azure-js/dist/msRestAzure.js"></script>
<script src="node_modules/@azure/ms-rest-browserauth/dist/msAuth.js"></script>
<script src="node_modules/@azure/identity/dist/index.js"></script>
<script src="node_modules/@azure/arm-machinelearningservices/dist/arm-machinelearningservices.js"></script>
<script type="text/javascript">
const subscriptionId = "<Subscription_Id>";
const authManager = new msAuth.AuthManager({
// Create credentials using the `@azure/identity` package.
// Please note that you can also use credentials from the `@azure/ms-rest-browserauth` package instead.
const credential = new InteractiveBrowserCredential(
{
clientId: "<client id for your Azure AD app>",
tenant: "<optional tenant for your organization>"
});
authManager.finalizeLogin().then((res) => {
if (!res.isLoggedIn) {
// may cause redirects
authManager.login();
}
const client = new Azure.ArmMachinelearningservices.AzureMachineLearningWorkspaces(res.creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
}).catch((err) => {
console.log("An error occurred:");
console.error(err);
});
const client = new Azure.ArmMachinelearningservices.AzureMachineLearningWorkspaces(creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
}).catch((err) => {
console.log("An error occurred:");
console.error(err);
});
</script>
</head>
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"description": "AzureMachineLearningWorkspaces Library with typescript type definitions for node.js and browser.",
"version": "4.0.0",
"dependencies": {
"@azure/ms-rest-azure-js": "^2.0.1",
"@azure/ms-rest-js": "^2.0.4",
"@azure/ms-rest-azure-js": "^2.1.0",
"@azure/ms-rest-js": "^2.2.0",
"@azure/core-auth": "^1.1.4",
"tslib": "^1.10.0"
},
"keywords": [
Expand All @@ -20,13 +21,13 @@
"module": "./esm/azureMachineLearningWorkspaces.js",
"types": "./esm/azureMachineLearningWorkspaces.d.ts",
"devDependencies": {
"typescript": "^3.5.3",
"typescript": "^3.6.0",
"rollup": "^1.18.0",
"rollup-plugin-node-resolve": "^5.2.0",
"rollup-plugin-sourcemaps": "^0.4.2",
"uglify-js": "^3.6.0"
},
"homepage": "https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearningservices/arm-machinelearningservices",
"homepage": "https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/machinelearningservices/arm-machinelearningservices",
"repository": {
"type": "git",
"url": "https://github.com/Azure/azure-sdk-for-js.git"
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*/

import * as msRest from "@azure/ms-rest-js";
import { TokenCredential } from "@azure/core-auth";
import * as Models from "./models";
import * as Mappers from "./models/mappers";
import * as Parameters from "./models/parameters";
import * as operations from "./operations";
import { AzureMachineLearningWorkspacesContext } from "./azureMachineLearningWorkspacesContext";

Expand All @@ -20,137 +20,49 @@ class AzureMachineLearningWorkspaces extends AzureMachineLearningWorkspacesConte
operations: operations.Operations;
workspaces: operations.Workspaces;
workspaceFeatures: operations.WorkspaceFeatures;
notebooks: operations.Notebooks;
usages: operations.Usages;
virtualMachineSizes: operations.VirtualMachineSizes;
quotas: operations.Quotas;
workspaceConnections: operations.WorkspaceConnections;
machineLearningCompute: operations.MachineLearningCompute;
workspace: operations.WorkspaceOperations;
privateEndpointConnections: operations.PrivateEndpointConnections;
privateLinkResources: operations.PrivateLinkResources;
machineLearningService: operations.MachineLearningService;
notebooks: operations.Notebooks;
storageAccount: operations.StorageAccount;
workspaceConnections: operations.WorkspaceConnections;

/**
* Initializes a new instance of the AzureMachineLearningWorkspaces class.
* @param credentials Credentials needed for the client to connect to Azure.
* @param credentials Credentials needed for the client to connect to Azure. Credentials
* implementing the TokenCredential interface from the @azure/identity package are recommended. For
* more information about these credentials, see
* {@link https://www.npmjs.com/package/@azure/identity}. Credentials implementing the
* ServiceClientCredentials interface from the older packages @azure/ms-rest-nodeauth and
* @azure/ms-rest-browserauth are also supported.
* @param subscriptionId Azure subscription identifier.
* @param [options] The parameter options
*/
constructor(credentials: msRest.ServiceClientCredentials, subscriptionId: string, options?: Models.AzureMachineLearningWorkspacesOptions) {
constructor(credentials: msRest.ServiceClientCredentials | TokenCredential, subscriptionId: string, options?: Models.AzureMachineLearningWorkspacesOptions) {
super(credentials, subscriptionId, options);
this.operations = new operations.Operations(this);
this.workspaces = new operations.Workspaces(this);
this.workspaceFeatures = new operations.WorkspaceFeatures(this);
this.notebooks = new operations.Notebooks(this);
this.usages = new operations.Usages(this);
this.virtualMachineSizes = new operations.VirtualMachineSizes(this);
this.quotas = new operations.Quotas(this);
this.workspaceConnections = new operations.WorkspaceConnections(this);
this.machineLearningCompute = new operations.MachineLearningCompute(this);
this.workspace = new operations.WorkspaceOperations(this);
this.privateEndpointConnections = new operations.PrivateEndpointConnections(this);
this.privateLinkResources = new operations.PrivateLinkResources(this);
}

/**
* Lists all skus with associated features
* @param [options] The optional parameters
* @returns Promise<Models.ListSkusResponse>
*/
listSkus(options?: msRest.RequestOptionsBase): Promise<Models.ListSkusResponse>;
/**
* @param callback The callback
*/
listSkus(callback: msRest.ServiceCallback<Models.SkuListResult>): void;
/**
* @param options The optional parameters
* @param callback The callback
*/
listSkus(options: msRest.RequestOptionsBase, callback: msRest.ServiceCallback<Models.SkuListResult>): void;
listSkus(options?: msRest.RequestOptionsBase | msRest.ServiceCallback<Models.SkuListResult>, callback?: msRest.ServiceCallback<Models.SkuListResult>): Promise<Models.ListSkusResponse> {
return this.sendOperationRequest(
{
options
},
listSkusOperationSpec,
callback) as Promise<Models.ListSkusResponse>;
}

/**
* Lists all skus with associated features
* @param nextPageLink The NextLink from the previous successful call to List operation.
* @param [options] The optional parameters
* @returns Promise<Models.ListSkusNextResponse>
*/
listSkusNext(nextPageLink: string, options?: msRest.RequestOptionsBase): Promise<Models.ListSkusNextResponse>;
/**
* @param nextPageLink The NextLink from the previous successful call to List operation.
* @param callback The callback
*/
listSkusNext(nextPageLink: string, callback: msRest.ServiceCallback<Models.SkuListResult>): void;
/**
* @param nextPageLink The NextLink from the previous successful call to List operation.
* @param options The optional parameters
* @param callback The callback
*/
listSkusNext(nextPageLink: string, options: msRest.RequestOptionsBase, callback: msRest.ServiceCallback<Models.SkuListResult>): void;
listSkusNext(nextPageLink: string, options?: msRest.RequestOptionsBase | msRest.ServiceCallback<Models.SkuListResult>, callback?: msRest.ServiceCallback<Models.SkuListResult>): Promise<Models.ListSkusNextResponse> {
return this.sendOperationRequest(
{
nextPageLink,
options
},
listSkusNextOperationSpec,
callback) as Promise<Models.ListSkusNextResponse>;
this.machineLearningService = new operations.MachineLearningService(this);
this.notebooks = new operations.Notebooks(this);
this.storageAccount = new operations.StorageAccount(this);
this.workspaceConnections = new operations.WorkspaceConnections(this);
}
}

// Operation Specifications
const serializer = new msRest.Serializer(Mappers);
const listSkusOperationSpec: msRest.OperationSpec = {
httpMethod: "GET",
path: "subscriptions/{subscriptionId}/providers/Microsoft.MachineLearningServices/workspaces/skus",
urlParameters: [
Parameters.subscriptionId
],
queryParameters: [
Parameters.apiVersion
],
headerParameters: [
Parameters.acceptLanguage
],
responses: {
200: {
bodyMapper: Mappers.SkuListResult
},
default: {
bodyMapper: Mappers.MachineLearningServiceError
}
},
serializer
};

const listSkusNextOperationSpec: msRest.OperationSpec = {
httpMethod: "GET",
baseUrl: "https://management.azure.com",
path: "{nextLink}",
urlParameters: [
Parameters.nextPageLink
],
queryParameters: [
Parameters.apiVersion
],
headerParameters: [
Parameters.acceptLanguage
],
responses: {
200: {
bodyMapper: Mappers.SkuListResult
},
default: {
bodyMapper: Mappers.MachineLearningServiceError
}
},
serializer
};

export {
AzureMachineLearningWorkspaces,
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