

文件 AWS 開發套件範例 GitHub 儲存庫中有更多可用的 [AWS SDK 範例](https://github.com/awsdocs/aws-doc-sdk-examples)。

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# 適用於 JavaScript 的 SDK (v3) 程式碼範例
<a name="javascript_3_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 AWS。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

有些服務包含其他範例類別，示範如何利用特定於服務的程式庫或函數。

**其他資源**
+  ** [ 適用於 JavaScript (v3) 的 SDK 開發人員指南 ](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/welcome.html) ** – 搭配 JavaScript 使用的詳細資訊 AWS。
+  **[AWS 開發人員中心](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-programming-language=programming-language%23javascript)** – 您可以依類別或全文檢索搜尋功能篩選的程式碼範例。
+  **[AWS SDK 範例](https://github.com/awsdocs/aws-doc-sdk-examples)** – GitHub 儲存庫使用偏好語言的完整程式碼。包含設定和執行程式碼的指示。

**Topics**
+ [API Gateway](javascript_3_api-gateway_code_examples.md)
+ [Aurora](javascript_3_aurora_code_examples.md)
+ [Auto Scaling](javascript_3_auto-scaling_code_examples.md)
+ [Amazon Bedrock](javascript_3_bedrock_code_examples.md)
+ [Amazon Bedrock 執行時期](javascript_3_bedrock-runtime_code_examples.md)
+ [Amazon Bedrock 代理程式](javascript_3_bedrock-agent_code_examples.md)
+ [Amazon Bedrock 代理程式執行時期](javascript_3_bedrock-agent-runtime_code_examples.md)
+ [CloudWatch](javascript_3_cloudwatch_code_examples.md)
+ [CloudWatch Events](javascript_3_cloudwatch-events_code_examples.md)
+ [CloudWatch Logs](javascript_3_cloudwatch-logs_code_examples.md)
+ [CodeBuild：](javascript_3_codebuild_code_examples.md)
+ [Amazon Cognito 身分](javascript_3_cognito-identity_code_examples.md)
+ [Amazon Cognito 身分提供者](javascript_3_cognito-identity-provider_code_examples.md)
+ [Amazon Comprehend](javascript_3_comprehend_code_examples.md)
+ [Amazon DocumentDB](javascript_3_docdb_code_examples.md)
+ [DynamoDB](javascript_3_dynamodb_code_examples.md)
+ [Amazon EC2](javascript_3_ec2_code_examples.md)
+ [Elastic Load Balancing - 版本 2](javascript_3_elastic-load-balancing-v2_code_examples.md)
+ [AWS Entity Resolution](javascript_3_entityresolution_code_examples.md)
+ [EventBridge](javascript_3_eventbridge_code_examples.md)
+ [Amazon Glacier](javascript_3_glacier_code_examples.md)
+ [AWS Glue](javascript_3_glue_code_examples.md)
+ [HealthImaging](javascript_3_medical-imaging_code_examples.md)
+ [IAM](javascript_3_iam_code_examples.md)
+ [AWS IoT SiteWise](javascript_3_iotsitewise_code_examples.md)
+ [Kinesis](javascript_3_kinesis_code_examples.md)
+ [Lambda](javascript_3_lambda_code_examples.md)
+ [Amazon Lex](javascript_3_lex_code_examples.md)
+ [Amazon Location](javascript_3_location_code_examples.md)
+ [Amazon MSK](javascript_3_kafka_code_examples.md)
+ [Amazon Personalize](javascript_3_personalize_code_examples.md)
+ [Amazon Personalize Events](javascript_3_personalize-events_code_examples.md)
+ [Amazon Personalize Runtime](javascript_3_personalize-runtime_code_examples.md)
+ [Amazon Pinpoint](javascript_3_pinpoint_code_examples.md)
+ [Amazon Polly](javascript_3_polly_code_examples.md)
+ [Amazon RDS](javascript_3_rds_code_examples.md)
+ [Amazon RDS 資料服務](javascript_3_rds-data_code_examples.md)
+ [Amazon Redshift](javascript_3_redshift_code_examples.md)
+ [Amazon Rekognition](javascript_3_rekognition_code_examples.md)
+ [Amazon S3](javascript_3_s3_code_examples.md)
+ [SageMaker AI](javascript_3_sagemaker_code_examples.md)
+ [Secrets Manager](javascript_3_secrets-manager_code_examples.md)
+ [Amazon SES](javascript_3_ses_code_examples.md)
+ [Amazon SNS](javascript_3_sns_code_examples.md)
+ [Amazon SQS](javascript_3_sqs_code_examples.md)
+ [步驟函數](javascript_3_sfn_code_examples.md)
+ [AWS STS](javascript_3_sts_code_examples.md)
+ [支援](javascript_3_support_code_examples.md)
+ [Systems Manager](javascript_3_ssm_code_examples.md)
+ [Amazon Textract](javascript_3_textract_code_examples.md)
+ [Amazon Transcribe](javascript_3_transcribe_code_examples.md)
+ [Amazon Translate](javascript_3_translate_code_examples.md)

# 使用適用於 JavaScript 的 SDK (v3) 的 API Gateway 範例
<a name="javascript_3_api-gateway_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 API Gateway 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立無伺服器應用程式來管理相片
<a name="cross_PAM_javascript_3_topic"></a>

下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。  
如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager) 上的完整範例。  
如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon Rekognition
+ Amazon S3
+ Amazon SNS

### 使用 API Gateway 來調用 Lambda 函式
<a name="cross_LambdaAPIGateway_javascript_3_topic"></a>

下列程式碼範例示範如何建立 Amazon API Gateway 調用的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何使用 Lambda JavaScript 執行時間 API 建立 AWS Lambda 函數。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立 Amazon API Gateway 調用的 Lambda 函式，該函數會掃描 Amazon DynamoDB 資料表中的工作週年紀念日，並使用 Amazon Simple Notification Service (Amazon SNS) 傳送文字訊息給您的員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-api-gateway) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/api-gateway-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon SNS

# 使用適用於 JavaScript 的 SDK (v3) 的 Aurora 範例
<a name="javascript_3_aurora_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Aurora 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立 Aurora 無伺服器工作項目追蹤器
<a name="cross_RDSDataTracker_javascript_3_topic"></a>

下列程式碼示範如何建立一個 Web 應用程式，該應用程式會追蹤 Amazon Aurora Serverless 資料庫中的工作項目，並使用 Amazon Simple Email Service (Amazon SES) 傳送報告。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 建立 Web 應用程式，以使用 Amazon Simple Email Service (Amazon SES) 追蹤 Amazon Aurora 資料庫中的工作項目和電子郵件報告。這個範例使用以 React.js 建置的前端與 Express Node.js 後端互動。  
+ 將 React.js Web 應用程式與 整合。 AWS 服務
+ 列出、新增和更新 Aurora 資料表中的項目。
+ 使用 Amazon SES 傳送篩選工作項目的電子郵件報告。
+ 使用隨附的 AWS CloudFormation 指令碼部署和管理範例資源。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/aurora-serverless-app) 上的完整範例。  

**此範例中使用的服務**
+ Aurora
+ Amazon RDS
+ Amazon RDS 資料服務
+ Amazon SES

# 使用適用於 JavaScript 的 SDK (v3) 的 Auto Scaling 範例
<a name="javascript_3_auto-scaling_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Auto Scaling 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)
+ [案例](#scenarios)

## 動作
<a name="actions"></a>

### `AttachLoadBalancerTargetGroups`
<a name="auto-scaling_AttachLoadBalancerTargetGroups_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AttachLoadBalancerTargetGroups`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new AutoScalingClient({});
    await client.send(
      new AttachLoadBalancerTargetGroupsCommand({
        AutoScalingGroupName: NAMES.autoScalingGroupName,
        TargetGroupARNs: [state.targetGroupArn],
      }),
    );
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [AttachLoadBalancerTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/AttachLoadBalancerTargetGroupsCommand)。

## 案例
<a name="scenarios"></a>

### 建置及管理彈性服務
<a name="cross_ResilientService_javascript_3_topic"></a>

下列程式碼範例會示範如何建立負載平衡的 Web 服務，以傳回書籍、影片和歌曲建議。此範例顯示服務如何回應失故障，以及如何在發生故障時重組服務以提高復原能力。
+ 使用 Amazon EC2 Auto Scaling 群組根據啟動範本建立 Amazon Elastic Compute Cloud (Amazon EC2) 執行個體，並將執行個體數量保持在指定範圍內。
+ 使用 Elastic Load Balancing 處理和分發 HTTP 請求。
+ 監控 Auto Scaling 群組中執行個體的運作狀態，並且只將請求轉送給運作良好的執行個體。
+ 在每個 EC2 執行個體上執行一個 Python Web 伺服器來處理 HTTP 請求。Web 伺服器會回應建議和運作狀態檢查。
+ 使用 Amazon DynamoDB 資料表模擬建議服務。
+ 透過更新 AWS Systems Manager 參數來控制 Web 伺服器對請求和運作狀態檢查的回應。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。
在命令提示中執行互動式案例。  

```
#!/usr/bin/env node
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0

import {
  Scenario,
  parseScenarioArgs,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * The workflow steps are split into three stages:
 *   - deploy
 *   - demo
 *   - destroy
 *
 * Each of these stages has a corresponding file prefixed with steps-*.
 */
import { deploySteps } from "./steps-deploy.js";
import { demoSteps } from "./steps-demo.js";
import { destroySteps } from "./steps-destroy.js";

/**
 * The context is passed to every scenario. Scenario steps
 * will modify the context.
 */
const context = {};

/**
 * Three Scenarios are created for the workflow. A Scenario is an orchestration class
 * that simplifies running a series of steps.
 */
export const scenarios = {
  // Deploys all resources necessary for the workflow.
  deploy: new Scenario("Resilient Workflow - Deploy", deploySteps, context),
  // Demonstrates how a fragile web service can be made more resilient.
  demo: new Scenario("Resilient Workflow - Demo", demoSteps, context),
  // Destroys the resources created for the workflow.
  destroy: new Scenario("Resilient Workflow - Destroy", destroySteps, context),
};

// Call function if run directly
import { fileURLToPath } from "node:url";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Resilient Workflow",
    synopsis:
      "node index.js --scenario <deploy | demo | destroy> [-h|--help] [-y|--yes] [-v|--verbose]",
    description: "Deploy and interact with scalable EC2 instances.",
  });
}
```
建立步驟以部署所有資源。  

```
import { join } from "node:path";
import { readFileSync, writeFileSync } from "node:fs";
import axios from "axios";

import {
  BatchWriteItemCommand,
  CreateTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  CreateKeyPairCommand,
  CreateLaunchTemplateCommand,
  DescribeAvailabilityZonesCommand,
  DescribeVpcsCommand,
  DescribeSubnetsCommand,
  DescribeSecurityGroupsCommand,
  AuthorizeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  AttachRolePolicyCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import { SSMClient, GetParameterCommand } from "@aws-sdk/client-ssm";
import {
  CreateAutoScalingGroupCommand,
  AutoScalingClient,
  AttachLoadBalancerTargetGroupsCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  CreateListenerCommand,
  CreateLoadBalancerCommand,
  CreateTargetGroupCommand,
  ElasticLoadBalancingV2Client,
  waitUntilLoadBalancerAvailable,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { saveState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH, ROOT } from "./constants.js";
import { initParamsSteps } from "./steps-reset-params.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const deploySteps = [
  new ScenarioOutput("introduction", MESSAGES.introduction, { header: true }),
  new ScenarioInput("confirmDeployment", MESSAGES.confirmDeployment, {
    type: "confirm",
  }),
  new ScenarioAction(
    "handleConfirmDeployment",
    (c) => c.confirmDeployment === false && process.exit(),
  ),
  new ScenarioOutput(
    "creatingTable",
    MESSAGES.creatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("createTable", async () => {
    const client = new DynamoDBClient({});
    await client.send(
      new CreateTableCommand({
        TableName: NAMES.tableName,
        ProvisionedThroughput: {
          ReadCapacityUnits: 5,
          WriteCapacityUnits: 5,
        },
        AttributeDefinitions: [
          {
            AttributeName: "MediaType",
            AttributeType: "S",
          },
          {
            AttributeName: "ItemId",
            AttributeType: "N",
          },
        ],
        KeySchema: [
          {
            AttributeName: "MediaType",
            KeyType: "HASH",
          },
          {
            AttributeName: "ItemId",
            KeyType: "RANGE",
          },
        ],
      }),
    );
    await waitUntilTableExists({ client }, { TableName: NAMES.tableName });
  }),
  new ScenarioOutput(
    "createdTable",
    MESSAGES.createdTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "populatingTable",
    MESSAGES.populatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("populateTable", () => {
    const client = new DynamoDBClient({});
    /**
     * @type {{ default: import("@aws-sdk/client-dynamodb").PutRequest['Item'][] }}
     */
    const recommendations = JSON.parse(
      readFileSync(join(RESOURCES_PATH, "recommendations.json")),
    );

    return client.send(
      new BatchWriteItemCommand({
        RequestItems: {
          [NAMES.tableName]: recommendations.map((item) => ({
            PutRequest: { Item: item },
          })),
        },
      }),
    );
  }),
  new ScenarioOutput(
    "populatedTable",
    MESSAGES.populatedTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "creatingKeyPair",
    MESSAGES.creatingKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioAction("createKeyPair", async () => {
    const client = new EC2Client({});
    const { KeyMaterial } = await client.send(
      new CreateKeyPairCommand({
        KeyName: NAMES.keyPairName,
      }),
    );

    writeFileSync(`${NAMES.keyPairName}.pem`, KeyMaterial, { mode: 0o600 });
  }),
  new ScenarioOutput(
    "createdKeyPair",
    MESSAGES.createdKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioOutput(
    "creatingInstancePolicy",
    MESSAGES.creatingInstancePolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    ),
  ),
  new ScenarioAction("createInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const {
      Policy: { Arn },
    } = await client.send(
      new CreatePolicyCommand({
        PolicyName: NAMES.instancePolicyName,
        PolicyDocument: readFileSync(
          join(RESOURCES_PATH, "instance_policy.json"),
        ),
      }),
    );
    state.instancePolicyArn = Arn;
  }),
  new ScenarioOutput("createdInstancePolicy", (state) =>
    MESSAGES.createdInstancePolicy
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_POLICY_ARN}", state.instancePolicyArn),
  ),
  new ScenarioOutput(
    "creatingInstanceRole",
    MESSAGES.creatingInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioAction("createInstanceRole", () => {
    const client = new IAMClient({});
    return client.send(
      new CreateRoleCommand({
        RoleName: NAMES.instanceRoleName,
        AssumeRolePolicyDocument: readFileSync(
          join(ROOT, "assume-role-policy.json"),
        ),
      }),
    );
  }),
  new ScenarioOutput(
    "createdInstanceRole",
    MESSAGES.createdInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioOutput(
    "attachingPolicyToRole",
    MESSAGES.attachingPolicyToRole
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName)
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName),
  ),
  new ScenarioAction("attachPolicyToRole", async (state) => {
    const client = new IAMClient({});
    await client.send(
      new AttachRolePolicyCommand({
        RoleName: NAMES.instanceRoleName,
        PolicyArn: state.instancePolicyArn,
      }),
    );
  }),
  new ScenarioOutput(
    "attachedPolicyToRole",
    MESSAGES.attachedPolicyToRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioOutput(
    "creatingInstanceProfile",
    MESSAGES.creatingInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    ),
  ),
  new ScenarioAction("createInstanceProfile", async (state) => {
    const client = new IAMClient({});
    const {
      InstanceProfile: { Arn },
    } = await client.send(
      new CreateInstanceProfileCommand({
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
    state.instanceProfileArn = Arn;

    await waitUntilInstanceProfileExists(
      { client },
      { InstanceProfileName: NAMES.instanceProfileName },
    );
  }),
  new ScenarioOutput("createdInstanceProfile", (state) =>
    MESSAGES.createdInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_PROFILE_ARN}", state.instanceProfileArn),
  ),
  new ScenarioOutput(
    "addingRoleToInstanceProfile",
    MESSAGES.addingRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioAction("addRoleToInstanceProfile", () => {
    const client = new IAMClient({});
    return client.send(
      new AddRoleToInstanceProfileCommand({
        RoleName: NAMES.instanceRoleName,
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
  }),
  new ScenarioOutput(
    "addedRoleToInstanceProfile",
    MESSAGES.addedRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  ...initParamsSteps,
  new ScenarioOutput("creatingLaunchTemplate", MESSAGES.creatingLaunchTemplate),
  new ScenarioAction("createLaunchTemplate", async () => {
    const ssmClient = new SSMClient({});
    const { Parameter } = await ssmClient.send(
      new GetParameterCommand({
        Name: "/aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2",
      }),
    );
    const ec2Client = new EC2Client({});
    await ec2Client.send(
      new CreateLaunchTemplateCommand({
        LaunchTemplateName: NAMES.launchTemplateName,
        LaunchTemplateData: {
          InstanceType: "t3.micro",
          ImageId: Parameter.Value,
          IamInstanceProfile: { Name: NAMES.instanceProfileName },
          UserData: readFileSync(
            join(RESOURCES_PATH, "server_startup_script.sh"),
          ).toString("base64"),
          KeyName: NAMES.keyPairName,
        },
      }),
    );
  }),
  new ScenarioOutput(
    "createdLaunchTemplate",
    MESSAGES.createdLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    ),
  ),
  new ScenarioOutput(
    "creatingAutoScalingGroup",
    MESSAGES.creatingAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    ),
  ),
  new ScenarioAction("createAutoScalingGroup", async (state) => {
    const ec2Client = new EC2Client({});
    const { AvailabilityZones } = await ec2Client.send(
      new DescribeAvailabilityZonesCommand({}),
    );
    state.availabilityZoneNames = AvailabilityZones.map((az) => az.ZoneName);
    const autoScalingClient = new AutoScalingClient({});
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new CreateAutoScalingGroupCommand({
          AvailabilityZones: state.availabilityZoneNames,
          AutoScalingGroupName: NAMES.autoScalingGroupName,
          LaunchTemplate: {
            LaunchTemplateName: NAMES.launchTemplateName,
            Version: "$Default",
          },
          MinSize: 3,
          MaxSize: 3,
        }),
      ),
    );
  }),
  new ScenarioOutput(
    "createdAutoScalingGroup",
    /**
     * @param {{ availabilityZoneNames: string[] }} state
     */
    (state) =>
      MESSAGES.createdAutoScalingGroup
        .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName)
        .replace(
          "${AVAILABILITY_ZONE_NAMES}",
          state.availabilityZoneNames.join(", "),
        ),
  ),
  new ScenarioInput("confirmContinue", MESSAGES.confirmContinue, {
    type: "confirm",
  }),
  new ScenarioOutput("loadBalancer", MESSAGES.loadBalancer),
  new ScenarioOutput("gettingVpc", MESSAGES.gettingVpc),
  new ScenarioAction("getVpc", async (state) => {
    const client = new EC2Client({});
    const { Vpcs } = await client.send(
      new DescribeVpcsCommand({
        Filters: [{ Name: "is-default", Values: ["true"] }],
      }),
    );
    state.defaultVpc = Vpcs[0].VpcId;
  }),
  new ScenarioOutput("gotVpc", (state) =>
    MESSAGES.gotVpc.replace("${VPC_ID}", state.defaultVpc),
  ),
  new ScenarioOutput("gettingSubnets", MESSAGES.gettingSubnets),
  new ScenarioAction("getSubnets", async (state) => {
    const client = new EC2Client({});
    const { Subnets } = await client.send(
      new DescribeSubnetsCommand({
        Filters: [
          { Name: "vpc-id", Values: [state.defaultVpc] },
          { Name: "availability-zone", Values: state.availabilityZoneNames },
          { Name: "default-for-az", Values: ["true"] },
        ],
      }),
    );
    state.subnets = Subnets.map((subnet) => subnet.SubnetId);
  }),
  new ScenarioOutput(
    "gotSubnets",
    /**
     * @param {{ subnets: string[] }} state
     */
    (state) =>
      MESSAGES.gotSubnets.replace("${SUBNETS}", state.subnets.join(", ")),
  ),
  new ScenarioOutput(
    "creatingLoadBalancerTargetGroup",
    MESSAGES.creatingLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioAction("createLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { TargetGroups } = await client.send(
      new CreateTargetGroupCommand({
        Name: NAMES.loadBalancerTargetGroupName,
        Protocol: "HTTP",
        Port: 80,
        HealthCheckPath: "/healthcheck",
        HealthCheckIntervalSeconds: 10,
        HealthCheckTimeoutSeconds: 5,
        HealthyThresholdCount: 2,
        UnhealthyThresholdCount: 2,
        VpcId: state.defaultVpc,
      }),
    );
    const targetGroup = TargetGroups[0];
    state.targetGroupArn = targetGroup.TargetGroupArn;
    state.targetGroupProtocol = targetGroup.Protocol;
    state.targetGroupPort = targetGroup.Port;
  }),
  new ScenarioOutput(
    "createdLoadBalancerTargetGroup",
    MESSAGES.createdLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioOutput(
    "creatingLoadBalancer",
    MESSAGES.creatingLoadBalancer.replace("${LB_NAME}", NAMES.loadBalancerName),
  ),
  new ScenarioAction("createLoadBalancer", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { LoadBalancers } = await client.send(
      new CreateLoadBalancerCommand({
        Name: NAMES.loadBalancerName,
        Subnets: state.subnets,
      }),
    );
    state.loadBalancerDns = LoadBalancers[0].DNSName;
    state.loadBalancerArn = LoadBalancers[0].LoadBalancerArn;
    await waitUntilLoadBalancerAvailable(
      { client },
      { Names: [NAMES.loadBalancerName] },
    );
  }),
  new ScenarioOutput("createdLoadBalancer", (state) =>
    MESSAGES.createdLoadBalancer
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioOutput(
    "creatingListener",
    MESSAGES.creatingLoadBalancerListener
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName),
  ),
  new ScenarioAction("createListener", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { Listeners } = await client.send(
      new CreateListenerCommand({
        LoadBalancerArn: state.loadBalancerArn,
        Protocol: state.targetGroupProtocol,
        Port: state.targetGroupPort,
        DefaultActions: [
          { Type: "forward", TargetGroupArn: state.targetGroupArn },
        ],
      }),
    );
    const listener = Listeners[0];
    state.loadBalancerListenerArn = listener.ListenerArn;
  }),
  new ScenarioOutput("createdListener", (state) =>
    MESSAGES.createdLoadBalancerListener.replace(
      "${LB_LISTENER_ARN}",
      state.loadBalancerListenerArn,
    ),
  ),
  new ScenarioOutput(
    "attachingLoadBalancerTargetGroup",
    MESSAGES.attachingLoadBalancerTargetGroup
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName)
      .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName),
  ),
  new ScenarioAction("attachLoadBalancerTargetGroup", async (state) => {
    const client = new AutoScalingClient({});
    await client.send(
      new AttachLoadBalancerTargetGroupsCommand({
        AutoScalingGroupName: NAMES.autoScalingGroupName,
        TargetGroupARNs: [state.targetGroupArn],
      }),
    );
  }),
  new ScenarioOutput(
    "attachedLoadBalancerTargetGroup",
    MESSAGES.attachedLoadBalancerTargetGroup,
  ),
  new ScenarioOutput("verifyingInboundPort", MESSAGES.verifyingInboundPort),
  new ScenarioAction(
    "verifyInboundPort",
    /**
     *
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup}} state
     */
    async (state) => {
      const client = new EC2Client({});
      const { SecurityGroups } = await client.send(
        new DescribeSecurityGroupsCommand({
          Filters: [{ Name: "group-name", Values: ["default"] }],
        }),
      );
      if (!SecurityGroups) {
        state.verifyInboundPortError = new Error(MESSAGES.noSecurityGroups);
      }
      state.defaultSecurityGroup = SecurityGroups[0];

      /**
       * @type {string}
       */
      const ipResponse = (await axios.get("http://checkip.amazonaws.com")).data;
      state.myIp = ipResponse.trim();
      const myIpRules = state.defaultSecurityGroup.IpPermissions.filter(
        ({ IpRanges }) =>
          IpRanges.some(
            ({ CidrIp }) =>
              CidrIp.startsWith(state.myIp) || CidrIp === "0.0.0.0/0",
          ),
      )
        .filter(({ IpProtocol }) => IpProtocol === "tcp")
        .filter(({ FromPort }) => FromPort === 80);

      state.myIpRules = myIpRules;
    },
  ),
  new ScenarioOutput(
    "verifiedInboundPort",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return MESSAGES.foundIpRules.replace(
          "${IP_RULES}",
          JSON.stringify(state.myIpRules, null, 2),
        );
      }
      return MESSAGES.noIpRules;
    },
  ),
  new ScenarioInput(
    "shouldAddInboundRule",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return false;
      }
      return MESSAGES.noIpRules;
    },
    { type: "confirm" },
  ),
  new ScenarioAction(
    "addInboundRule",
    /**
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup }} state
     */
    async (state) => {
      if (!state.shouldAddInboundRule) {
        return;
      }

      const client = new EC2Client({});
      await client.send(
        new AuthorizeSecurityGroupIngressCommand({
          GroupId: state.defaultSecurityGroup.GroupId,
          CidrIp: `${state.myIp}/32`,
          FromPort: 80,
          ToPort: 80,
          IpProtocol: "tcp",
        }),
      );
    },
  ),
  new ScenarioOutput("addedInboundRule", (state) => {
    if (state.shouldAddInboundRule) {
      return MESSAGES.addedInboundRule.replace("${IP_ADDRESS}", state.myIp);
    }
    return false;
  }),
  new ScenarioOutput("verifyingEndpoint", (state) =>
    MESSAGES.verifyingEndpoint.replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioAction("verifyEndpoint", async (state) => {
    try {
      const response = await retry({ intervalInMs: 2000, maxRetries: 30 }, () =>
        axios.get(`http://${state.loadBalancerDns}`),
      );
      state.endpointResponse = JSON.stringify(response.data, null, 2);
    } catch (e) {
      state.verifyEndpointError = e;
    }
  }),
  new ScenarioOutput("verifiedEndpoint", (state) => {
    if (state.verifyEndpointError) {
      console.error(state.verifyEndpointError);
    } else {
      return MESSAGES.verifiedEndpoint.replace(
        "${ENDPOINT_RESPONSE}",
        state.endpointResponse,
      );
    }
  }),
  saveState,
];
```
建立步驟以執行示範。  

```
import { readFileSync } from "node:fs";
import { join } from "node:path";

import axios from "axios";

import {
  DescribeTargetGroupsCommand,
  DescribeTargetHealthCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";
import {
  DescribeInstanceInformationCommand,
  PutParameterCommand,
  SSMClient,
  SendCommandCommand,
} from "@aws-sdk/client-ssm";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  AttachRolePolicyCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DescribeAutoScalingGroupsCommand,
  TerminateInstanceInAutoScalingGroupCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  DescribeIamInstanceProfileAssociationsCommand,
  EC2Client,
  RebootInstancesCommand,
  ReplaceIamInstanceProfileAssociationCommand,
} from "@aws-sdk/client-ec2";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

const getRecommendation = new ScenarioAction(
  "getRecommendation",
  async (state) => {
    const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
    if (loadBalancer) {
      state.loadBalancerDnsName = loadBalancer.DNSName;
      try {
        state.recommendation = (
          await axios.get(`http://${state.loadBalancerDnsName}`)
        ).data;
      } catch (e) {
        state.recommendation = e instanceof Error ? e.message : e;
      }
    } else {
      throw new Error(MESSAGES.demoFindLoadBalancerError);
    }
  },
);

const getRecommendationResult = new ScenarioOutput(
  "getRecommendationResult",
  (state) =>
    `Recommendation:\n${JSON.stringify(state.recommendation, null, 2)}`,
  { preformatted: true },
);

const getHealthCheck = new ScenarioAction("getHealthCheck", async (state) => {
  const client = new ElasticLoadBalancingV2Client({});
  const { TargetGroups } = await client.send(
    new DescribeTargetGroupsCommand({
      Names: [NAMES.loadBalancerTargetGroupName],
    }),
  );

  const { TargetHealthDescriptions } = await client.send(
    new DescribeTargetHealthCommand({
      TargetGroupArn: TargetGroups[0].TargetGroupArn,
    }),
  );
  state.targetHealthDescriptions = TargetHealthDescriptions;
});

const getHealthCheckResult = new ScenarioOutput(
  "getHealthCheckResult",
  /**
   * @param {{ targetHealthDescriptions: import('@aws-sdk/client-elastic-load-balancing-v2').TargetHealthDescription[]}} state
   */
  (state) => {
    const status = state.targetHealthDescriptions
      .map((th) => `${th.Target.Id}: ${th.TargetHealth.State}`)
      .join("\n");
    return `Health check:\n${status}`;
  },
  { preformatted: true },
);

const loadBalancerLoop = new ScenarioAction(
  "loadBalancerLoop",
  getRecommendation.action,
  {
    whileConfig: {
      whileFn: ({ loadBalancerCheck }) => loadBalancerCheck,
      input: new ScenarioInput(
        "loadBalancerCheck",
        MESSAGES.demoLoadBalancerCheck,
        {
          type: "confirm",
        },
      ),
      output: getRecommendationResult,
    },
  },
);

const healthCheckLoop = new ScenarioAction(
  "healthCheckLoop",
  getHealthCheck.action,
  {
    whileConfig: {
      whileFn: ({ healthCheck }) => healthCheck,
      input: new ScenarioInput("healthCheck", MESSAGES.demoHealthCheck, {
        type: "confirm",
      }),
      output: getHealthCheckResult,
    },
  },
);

const statusSteps = [
  getRecommendation,
  getRecommendationResult,
  getHealthCheck,
  getHealthCheckResult,
];

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const demoSteps = [
  new ScenarioOutput("header", MESSAGES.demoHeader, { header: true }),
  new ScenarioOutput("sanityCheck", MESSAGES.demoSanityCheck),
  ...statusSteps,
  new ScenarioInput(
    "brokenDependencyConfirmation",
    MESSAGES.demoBrokenDependencyConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("brokenDependency", async (state) => {
    if (!state.brokenDependencyConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      state.badTableName = `fake-table-${Date.now()}`;
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmTableNameKey,
          Value: state.badTableName,
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testBrokenDependency", (state) =>
    MESSAGES.demoTestBrokenDependency.replace(
      "${TABLE_NAME}",
      state.badTableName,
    ),
  ),
  ...statusSteps,
  new ScenarioInput(
    "staticResponseConfirmation",
    MESSAGES.demoStaticResponseConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("staticResponse", async (state) => {
    if (!state.staticResponseConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmFailureResponseKey,
          Value: "static",
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testStaticResponse", MESSAGES.demoTestStaticResponse),
  ...statusSteps,
  new ScenarioInput(
    "badCredentialsConfirmation",
    MESSAGES.demoBadCredentialsConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("badCredentialsExit", (state) => {
    if (!state.badCredentialsConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("fixDynamoDBName", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioAction(
    "badCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-auto-scaling').Instance }} state
     */
    async (state) => {
      await createSsmOnlyInstanceProfile();
      const autoScalingClient = new AutoScalingClient({});
      const { AutoScalingGroups } = await autoScalingClient.send(
        new DescribeAutoScalingGroupsCommand({
          AutoScalingGroupNames: [NAMES.autoScalingGroupName],
        }),
      );
      state.targetInstance = AutoScalingGroups[0].Instances[0];
      const ec2Client = new EC2Client({});
      const { IamInstanceProfileAssociations } = await ec2Client.send(
        new DescribeIamInstanceProfileAssociationsCommand({
          Filters: [
            { Name: "instance-id", Values: [state.targetInstance.InstanceId] },
          ],
        }),
      );
      state.instanceProfileAssociationId =
        IamInstanceProfileAssociations[0].AssociationId;
      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        ec2Client.send(
          new ReplaceIamInstanceProfileAssociationCommand({
            AssociationId: state.instanceProfileAssociationId,
            IamInstanceProfile: { Name: NAMES.ssmOnlyInstanceProfileName },
          }),
        ),
      );

      await ec2Client.send(
        new RebootInstancesCommand({
          InstanceIds: [state.targetInstance.InstanceId],
        }),
      );

      const ssmClient = new SSMClient({});
      await retry({ intervalInMs: 20000, maxRetries: 15 }, async () => {
        const { InstanceInformationList } = await ssmClient.send(
          new DescribeInstanceInformationCommand({}),
        );

        const instance = InstanceInformationList.find(
          (info) => info.InstanceId === state.targetInstance.InstanceId,
        );

        if (!instance) {
          throw new Error("Instance not found.");
        }
      });

      await ssmClient.send(
        new SendCommandCommand({
          InstanceIds: [state.targetInstance.InstanceId],
          DocumentName: "AWS-RunShellScript",
          Parameters: { commands: ["cd / && sudo python3 server.py 80"] },
        }),
      );
    },
  ),
  new ScenarioOutput(
    "testBadCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation}} state
     */
    (state) =>
      MESSAGES.demoTestBadCredentials.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
  ),
  loadBalancerLoop,
  new ScenarioInput(
    "deepHealthCheckConfirmation",
    MESSAGES.demoDeepHealthCheckConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("deepHealthCheckExit", (state) => {
    if (!state.deepHealthCheckConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("deepHealthCheck", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmHealthCheckKey,
        Value: "deep",
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testDeepHealthCheck", MESSAGES.demoTestDeepHealthCheck),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "killInstanceConfirmation",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    (state) =>
      MESSAGES.demoKillInstanceConfirmation.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
    { type: "confirm" },
  ),
  new ScenarioAction("killInstanceExit", (state) => {
    if (!state.killInstanceConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction(
    "killInstance",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    async (state) => {
      const client = new AutoScalingClient({});
      await client.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: state.targetInstance.InstanceId,
          ShouldDecrementDesiredCapacity: false,
        }),
      );
    },
  ),
  new ScenarioOutput("testKillInstance", MESSAGES.demoTestKillInstance),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput("failOpenConfirmation", MESSAGES.demoFailOpenConfirmation, {
    type: "confirm",
  }),
  new ScenarioAction("failOpenExit", (state) => {
    if (!state.failOpenConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("failOpen", () => {
    const client = new SSMClient({});
    return client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: `fake-table-${Date.now()}`,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testFailOpen", MESSAGES.demoFailOpenTest),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "resetTableConfirmation",
    MESSAGES.demoResetTableConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("resetTableExit", (state) => {
    if (!state.resetTableConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("resetTable", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testResetTable", MESSAGES.demoTestResetTable),
  healthCheckLoop,
  loadBalancerLoop,
];

async function createSsmOnlyInstanceProfile() {
  const iamClient = new IAMClient({});
  const { Policy } = await iamClient.send(
    new CreatePolicyCommand({
      PolicyName: NAMES.ssmOnlyPolicyName,
      PolicyDocument: readFileSync(
        join(RESOURCES_PATH, "ssm_only_policy.json"),
      ),
    }),
  );
  await iamClient.send(
    new CreateRoleCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      AssumeRolePolicyDocument: JSON.stringify({
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Principal: { Service: "ec2.amazonaws.com" },
            Action: "sts:AssumeRole",
          },
        ],
      }),
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: Policy.Arn,
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
    }),
  );
  const { InstanceProfile } = await iamClient.send(
    new CreateInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
    }),
  );
  await waitUntilInstanceProfileExists(
    { client: iamClient },
    { InstanceProfileName: NAMES.ssmOnlyInstanceProfileName },
  );
  await iamClient.send(
    new AddRoleToInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
      RoleName: NAMES.ssmOnlyRoleName,
    }),
  );

  return InstanceProfile;
}
```
建立步驟以銷毀所有資源。  

```
import { unlinkSync } from "node:fs";

import { DynamoDBClient, DeleteTableCommand } from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  DeleteKeyPairCommand,
  DeleteLaunchTemplateCommand,
  RevokeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  DeleteInstanceProfileCommand,
  RemoveRoleFromInstanceProfileCommand,
  DeletePolicyCommand,
  DeleteRoleCommand,
  DetachRolePolicyCommand,
  paginateListPolicies,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DeleteAutoScalingGroupCommand,
  TerminateInstanceInAutoScalingGroupCommand,
  UpdateAutoScalingGroupCommand,
  paginateDescribeAutoScalingGroups,
} from "@aws-sdk/client-auto-scaling";
import {
  DeleteLoadBalancerCommand,
  DeleteTargetGroupCommand,
  DescribeTargetGroupsCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { loadState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const destroySteps = [
  loadState,
  new ScenarioInput("destroy", MESSAGES.destroy, { type: "confirm" }),
  new ScenarioAction(
    "abort",
    (state) => state.destroy === false && process.exit(),
  ),
  new ScenarioAction("deleteTable", async (c) => {
    try {
      const client = new DynamoDBClient({});
      await client.send(new DeleteTableCommand({ TableName: NAMES.tableName }));
    } catch (e) {
      c.deleteTableError = e;
    }
  }),
  new ScenarioOutput("deleteTableResult", (state) => {
    if (state.deleteTableError) {
      console.error(state.deleteTableError);
      return MESSAGES.deleteTableError.replace(
        "${TABLE_NAME}",
        NAMES.tableName,
      );
    }
    return MESSAGES.deletedTable.replace("${TABLE_NAME}", NAMES.tableName);
  }),
  new ScenarioAction("deleteKeyPair", async (state) => {
    try {
      const client = new EC2Client({});
      await client.send(
        new DeleteKeyPairCommand({ KeyName: NAMES.keyPairName }),
      );
      unlinkSync(`${NAMES.keyPairName}.pem`);
    } catch (e) {
      state.deleteKeyPairError = e;
    }
  }),
  new ScenarioOutput("deleteKeyPairResult", (state) => {
    if (state.deleteKeyPairError) {
      console.error(state.deleteKeyPairError);
      return MESSAGES.deleteKeyPairError.replace(
        "${KEY_PAIR_NAME}",
        NAMES.keyPairName,
      );
    }
    return MESSAGES.deletedKeyPair.replace(
      "${KEY_PAIR_NAME}",
      NAMES.keyPairName,
    );
  }),
  new ScenarioAction("detachPolicyFromRole", async (state) => {
    try {
      const client = new IAMClient({});
      const policy = await findPolicy(NAMES.instancePolicyName);

      if (!policy) {
        state.detachPolicyFromRoleError = new Error(
          `Policy ${NAMES.instancePolicyName} not found.`,
        );
      } else {
        await client.send(
          new DetachRolePolicyCommand({
            RoleName: NAMES.instanceRoleName,
            PolicyArn: policy.Arn,
          }),
        );
      }
    } catch (e) {
      state.detachPolicyFromRoleError = e;
    }
  }),
  new ScenarioOutput("detachedPolicyFromRole", (state) => {
    if (state.detachPolicyFromRoleError) {
      console.error(state.detachPolicyFromRoleError);
      return MESSAGES.detachPolicyFromRoleError
        .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.detachedPolicyFromRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const policy = await findPolicy(NAMES.instancePolicyName);

    if (!policy) {
      state.deletePolicyError = new Error(
        `Policy ${NAMES.instancePolicyName} not found.`,
      );
    } else {
      return client.send(
        new DeletePolicyCommand({
          PolicyArn: policy.Arn,
        }),
      );
    }
  }),
  new ScenarioOutput("deletePolicyResult", (state) => {
    if (state.deletePolicyError) {
      console.error(state.deletePolicyError);
      return MESSAGES.deletePolicyError.replace(
        "${INSTANCE_POLICY_NAME}",
        NAMES.instancePolicyName,
      );
    }
    return MESSAGES.deletedPolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    );
  }),
  new ScenarioAction("removeRoleFromInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          RoleName: NAMES.instanceRoleName,
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.removeRoleFromInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("removeRoleFromInstanceProfileResult", (state) => {
    if (state.removeRoleFromInstanceProfile) {
      console.error(state.removeRoleFromInstanceProfileError);
      return MESSAGES.removeRoleFromInstanceProfileError
        .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.removedRoleFromInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstanceRole", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteRoleCommand({
          RoleName: NAMES.instanceRoleName,
        }),
      );
    } catch (e) {
      state.deleteInstanceRoleError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceRoleResult", (state) => {
    if (state.deleteInstanceRoleError) {
      console.error(state.deleteInstanceRoleError);
      return MESSAGES.deleteInstanceRoleError.replace(
        "${INSTANCE_ROLE_NAME}",
        NAMES.instanceRoleName,
      );
    }
    return MESSAGES.deletedInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    );
  }),
  new ScenarioAction("deleteInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceProfileResult", (state) => {
    if (state.deleteInstanceProfileError) {
      console.error(state.deleteInstanceProfileError);
      return MESSAGES.deleteInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.instanceProfileName,
      );
    }
    return MESSAGES.deletedInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    );
  }),
  new ScenarioAction("deleteAutoScalingGroup", async (state) => {
    try {
      await terminateGroupInstances(NAMES.autoScalingGroupName);
      await retry({ intervalInMs: 60000, maxRetries: 60 }, async () => {
        await deleteAutoScalingGroup(NAMES.autoScalingGroupName);
      });
    } catch (e) {
      state.deleteAutoScalingGroupError = e;
    }
  }),
  new ScenarioOutput("deleteAutoScalingGroupResult", (state) => {
    if (state.deleteAutoScalingGroupError) {
      console.error(state.deleteAutoScalingGroupError);
      return MESSAGES.deleteAutoScalingGroupError.replace(
        "${AUTO_SCALING_GROUP_NAME}",
        NAMES.autoScalingGroupName,
      );
    }
    return MESSAGES.deletedAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    );
  }),
  new ScenarioAction("deleteLaunchTemplate", async (state) => {
    const client = new EC2Client({});
    try {
      await client.send(
        new DeleteLaunchTemplateCommand({
          LaunchTemplateName: NAMES.launchTemplateName,
        }),
      );
    } catch (e) {
      state.deleteLaunchTemplateError = e;
    }
  }),
  new ScenarioOutput("deleteLaunchTemplateResult", (state) => {
    if (state.deleteLaunchTemplateError) {
      console.error(state.deleteLaunchTemplateError);
      return MESSAGES.deleteLaunchTemplateError.replace(
        "${LAUNCH_TEMPLATE_NAME}",
        NAMES.launchTemplateName,
      );
    }
    return MESSAGES.deletedLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    );
  }),
  new ScenarioAction("deleteLoadBalancer", async (state) => {
    try {
      const client = new ElasticLoadBalancingV2Client({});
      const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
      await client.send(
        new DeleteLoadBalancerCommand({
          LoadBalancerArn: loadBalancer.LoadBalancerArn,
        }),
      );
      await retry({ intervalInMs: 1000, maxRetries: 60 }, async () => {
        const lb = await findLoadBalancer(NAMES.loadBalancerName);
        if (lb) {
          throw new Error("Load balancer still exists.");
        }
      });
    } catch (e) {
      state.deleteLoadBalancerError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerResult", (state) => {
    if (state.deleteLoadBalancerError) {
      console.error(state.deleteLoadBalancerError);
      return MESSAGES.deleteLoadBalancerError.replace(
        "${LB_NAME}",
        NAMES.loadBalancerName,
      );
    }
    return MESSAGES.deletedLoadBalancer.replace(
      "${LB_NAME}",
      NAMES.loadBalancerName,
    );
  }),
  new ScenarioAction("deleteLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    try {
      const { TargetGroups } = await client.send(
        new DescribeTargetGroupsCommand({
          Names: [NAMES.loadBalancerTargetGroupName],
        }),
      );

      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        client.send(
          new DeleteTargetGroupCommand({
            TargetGroupArn: TargetGroups[0].TargetGroupArn,
          }),
        ),
      );
    } catch (e) {
      state.deleteLoadBalancerTargetGroupError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerTargetGroupResult", (state) => {
    if (state.deleteLoadBalancerTargetGroupError) {
      console.error(state.deleteLoadBalancerTargetGroupError);
      return MESSAGES.deleteLoadBalancerTargetGroupError.replace(
        "${TARGET_GROUP_NAME}",
        NAMES.loadBalancerTargetGroupName,
      );
    }
    return MESSAGES.deletedLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    );
  }),
  new ScenarioAction("detachSsmOnlyRoleFromProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyRoleFromProfileError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyRoleFromProfileResult", (state) => {
    if (state.detachSsmOnlyRoleFromProfileError) {
      console.error(state.detachSsmOnlyRoleFromProfileError);
      return MESSAGES.detachSsmOnlyRoleFromProfileError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
    }
    return MESSAGES.detachedSsmOnlyRoleFromProfile
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
  }),
  new ScenarioAction("detachSsmOnlyCustomRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyCustomRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyCustomRolePolicyResult", (state) => {
    if (state.detachSsmOnlyCustomRolePolicyError) {
      console.error(state.detachSsmOnlyCustomRolePolicyError);
      return MESSAGES.detachSsmOnlyCustomRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
    }
    return MESSAGES.detachedSsmOnlyCustomRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
  }),
  new ScenarioAction("detachSsmOnlyAWSRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
        }),
      );
    } catch (e) {
      state.detachSsmOnlyAWSRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyAWSRolePolicyResult", (state) => {
    if (state.detachSsmOnlyAWSRolePolicyError) {
      console.error(state.detachSsmOnlyAWSRolePolicyError);
      return MESSAGES.detachSsmOnlyAWSRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
    }
    return MESSAGES.detachedSsmOnlyAWSRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
  }),
  new ScenarioAction("deleteSsmOnlyInstanceProfile", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyInstanceProfileResult", (state) => {
    if (state.deleteSsmOnlyInstanceProfileError) {
      console.error(state.deleteSsmOnlyInstanceProfileError);
      return MESSAGES.deleteSsmOnlyInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.ssmOnlyInstanceProfileName,
      );
    }
    return MESSAGES.deletedSsmOnlyInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.ssmOnlyInstanceProfileName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyPolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DeletePolicyCommand({
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyPolicyError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyPolicyResult", (state) => {
    if (state.deleteSsmOnlyPolicyError) {
      console.error(state.deleteSsmOnlyPolicyError);
      return MESSAGES.deleteSsmOnlyPolicyError.replace(
        "${POLICY_NAME}",
        NAMES.ssmOnlyPolicyName,
      );
    }
    return MESSAGES.deletedSsmOnlyPolicy.replace(
      "${POLICY_NAME}",
      NAMES.ssmOnlyPolicyName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyRole", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteRoleCommand({
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyRoleError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyRoleResult", (state) => {
    if (state.deleteSsmOnlyRoleError) {
      console.error(state.deleteSsmOnlyRoleError);
      return MESSAGES.deleteSsmOnlyRoleError.replace(
        "${ROLE_NAME}",
        NAMES.ssmOnlyRoleName,
      );
    }
    return MESSAGES.deletedSsmOnlyRole.replace(
      "${ROLE_NAME}",
      NAMES.ssmOnlyRoleName,
    );
  }),
  new ScenarioAction(
    "revokeSecurityGroupIngress",
    async (
      /** @type {{ myIp: string, defaultSecurityGroup: { GroupId: string } }} */ state,
    ) => {
      const ec2Client = new EC2Client({});

      try {
        await ec2Client.send(
          new RevokeSecurityGroupIngressCommand({
            GroupId: state.defaultSecurityGroup.GroupId,
            CidrIp: `${state.myIp}/32`,
            FromPort: 80,
            ToPort: 80,
            IpProtocol: "tcp",
          }),
        );
      } catch (e) {
        state.revokeSecurityGroupIngressError = e;
      }
    },
  ),
  new ScenarioOutput("revokeSecurityGroupIngressResult", (state) => {
    if (state.revokeSecurityGroupIngressError) {
      console.error(state.revokeSecurityGroupIngressError);
      return MESSAGES.revokeSecurityGroupIngressError.replace(
        "${IP}",
        state.myIp,
      );
    }
    return MESSAGES.revokedSecurityGroupIngress.replace("${IP}", state.myIp);
  }),
];

/**
 * @param {string} policyName
 */
async function findPolicy(policyName) {
  const client = new IAMClient({});
  const paginatedPolicies = paginateListPolicies({ client }, {});
  for await (const page of paginatedPolicies) {
    const policy = page.Policies.find((p) => p.PolicyName === policyName);
    if (policy) {
      return policy;
    }
  }
}

/**
 * @param {string} groupName
 */
async function deleteAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  try {
    await client.send(
      new DeleteAutoScalingGroupCommand({
        AutoScalingGroupName: groupName,
      }),
    );
  } catch (err) {
    if (!(err instanceof Error)) {
      throw err;
    }
    console.log(err.name);
    throw err;
  }
}

/**
 * @param {string} groupName
 */
async function terminateGroupInstances(groupName) {
  const autoScalingClient = new AutoScalingClient({});
  const group = await findAutoScalingGroup(groupName);
  await autoScalingClient.send(
    new UpdateAutoScalingGroupCommand({
      AutoScalingGroupName: group.AutoScalingGroupName,
      MinSize: 0,
    }),
  );
  for (const i of group.Instances) {
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: i.InstanceId,
          ShouldDecrementDesiredCapacity: true,
        }),
      ),
    );
  }
}

async function findAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  const paginatedGroups = paginateDescribeAutoScalingGroups({ client }, {});
  for await (const page of paginatedGroups) {
    const group = page.AutoScalingGroups.find(
      (g) => g.AutoScalingGroupName === groupName,
    );
    if (group) {
      return group;
    }
  }
  throw new Error(`Auto scaling group ${groupName} not found.`);
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AttachLoadBalancerTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/AttachLoadBalancerTargetGroupsCommand)
  + [CreateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/CreateAutoScalingGroupCommand)
  + [CreateInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateInstanceProfileCommand)
  + [CreateLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateLaunchTemplateCommand)
  + [CreateListener](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateListenerCommand)
  + [CreateLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateLoadBalancerCommand)
  + [CreateTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateTargetGroupCommand)
  + [DeleteAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DeleteAutoScalingGroupCommand)
  + [DeleteInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteInstanceProfileCommand)
  + [DeleteLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteLaunchTemplateCommand)
  + [DeleteLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteLoadBalancerCommand)
  + [DeleteTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteTargetGroupCommand)
  + [DescribeAutoScalingGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DescribeAutoScalingGroupsCommand)
  + [DescribeAvailabilityZones](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeAvailabilityZonesCommand)
  + [DescribeIamInstanceProfileAssociations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeIamInstanceProfileAssociationsCommand)
  + [DescribeInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstancesCommand)
  + [DescribeLoadBalancers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeLoadBalancersCommand)
  + [DescribeSubnets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSubnetsCommand)
  + [DescribeTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetGroupsCommand)
  + [DescribeTargetHealth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetHealthCommand)
  + [DescribeVpcs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeVpcsCommand)
  + [RebootInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RebootInstancesCommand)
  + [ReplaceIamInstanceProfileAssociation](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReplaceIamInstanceProfileAssociationCommand)
  + [TerminateInstanceInAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/TerminateInstanceInAutoScalingGroupCommand)
  + [UpdateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/UpdateAutoScalingGroupCommand)

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Bedrock 範例
<a name="javascript_3_bedrock_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Bedrock 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### Hello Amazon Bedrock
<a name="bedrock_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Amazon Bedrock。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";

import {
  BedrockClient,
  ListFoundationModelsCommand,
} from "@aws-sdk/client-bedrock";

const REGION = "us-east-1";
const client = new BedrockClient({ region: REGION });

export const main = async () => {
  const command = new ListFoundationModelsCommand({});

  const response = await client.send(command);
  const models = response.modelSummaries;

  console.log("Listing the available Bedrock foundation models:");

  for (const model of models) {
    console.log("=".repeat(42));
    console.log(` Model: ${model.modelId}`);
    console.log("-".repeat(42));
    console.log(` Name: ${model.modelName}`);
    console.log(` Provider: ${model.providerName}`);
    console.log(` Model ARN: ${model.modelArn}`);
    console.log(` Input modalities: ${model.inputModalities}`);
    console.log(` Output modalities: ${model.outputModalities}`);
    console.log(` Supported customizations: ${model.customizationsSupported}`);
    console.log(` Supported inference types: ${model.inferenceTypesSupported}`);
    console.log(` Lifecycle status: ${model.modelLifecycle.status}`);
    console.log(`${"=".repeat(42)}\n`);
  }

  const active = models.filter(
    (m) => m.modelLifecycle.status === "ACTIVE",
  ).length;
  const legacy = models.filter(
    (m) => m.modelLifecycle.status === "LEGACY",
  ).length;

  console.log(
    `There are ${active} active and ${legacy} legacy foundation models in ${REGION}.`,
  );

  return response;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  await main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListFoundationModels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock/command/ListFoundationModelsCommand)。

## 動作
<a name="actions"></a>

### `GetFoundationModel`
<a name="bedrock_GetFoundationModel_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetFoundationModel`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock#code-examples)中設定和執行。
取得基礎模型的詳細資訊。  

```
import { fileURLToPath } from "node:url";

import {
  BedrockClient,
  GetFoundationModelCommand,
} from "@aws-sdk/client-bedrock";

/**
 * Get details about an Amazon Bedrock foundation model.
 *
 * @return {FoundationModelDetails} - The list of available bedrock foundation models.
 */
export const getFoundationModel = async () => {
  const client = new BedrockClient();

  const command = new GetFoundationModelCommand({
    modelIdentifier: "amazon.titan-embed-text-v1",
  });

  const response = await client.send(command);

  return response.modelDetails;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const model = await getFoundationModel();
  console.log(model);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetFoundationModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock/command/GetFoundationModelCommand)。

### `ListFoundationModels`
<a name="bedrock_ListFoundationModels_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListFoundationModels`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock#code-examples)中設定和執行。
列出可用的基礎模型。  

```
import { fileURLToPath } from "node:url";

import {
  BedrockClient,
  ListFoundationModelsCommand,
} from "@aws-sdk/client-bedrock";

/**
 * List the available Amazon Bedrock foundation models.
 *
 * @return {FoundationModelSummary[]} - The list of available bedrock foundation models.
 */
export const listFoundationModels = async () => {
  const client = new BedrockClient();

  const input = {
    // byProvider: 'STRING_VALUE',
    // byCustomizationType: 'FINE_TUNING' || 'CONTINUED_PRE_TRAINING',
    // byOutputModality: 'TEXT' || 'IMAGE' || 'EMBEDDING',
    // byInferenceType: 'ON_DEMAND' || 'PROVISIONED',
  };

  const command = new ListFoundationModelsCommand(input);

  const response = await client.send(command);

  return response.modelSummaries;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const models = await listFoundationModels();
  console.log(models);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListFoundationModels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock/command/ListFoundationModelsCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Bedrock 執行時期範例
<a name="javascript_3_bedrock-runtime_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Bedrock 執行期來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [案例](#scenarios)
+ [Amazon Nova](#amazon_nova)
+ [Amazon Nova Canvas](#amazon_nova_canvas)
+ [Anthropic Claude](#anthropic_claude)
+ [Cohere Command](#cohere_command)
+ [Meta Llama](#meta_llama)
+ [Mistral AI](#mistral_ai)

## 開始使用
<a name="get_started"></a>

### Hello Amazon Bedrock
<a name="bedrock-runtime_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Amazon Bedrock。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。

```
/**
 * @typedef {Object} Content
 * @property {string} text
 *
 * @typedef {Object} Usage
 * @property {number} input_tokens
 * @property {number} output_tokens
 *
 * @typedef {Object} ResponseBody
 * @property {Content[]} content
 * @property {Usage} usage
 */

import { fileURLToPath } from "node:url";
import {
  BedrockRuntimeClient,
  InvokeModelCommand,
} from "@aws-sdk/client-bedrock-runtime";

const AWS_REGION = "us-east-1";

const MODEL_ID = "anthropic.claude-3-haiku-20240307-v1:0";
const PROMPT = "Hi. In a short paragraph, explain what you can do.";

const hello = async () => {
  console.log("=".repeat(35));
  console.log("Welcome to the Amazon Bedrock demo!");
  console.log("=".repeat(35));

  console.log("Model: Anthropic Claude 3 Haiku");
  console.log(`Prompt: ${PROMPT}\n`);
  console.log("Invoking model...\n");

  // Create a new Bedrock Runtime client instance.
  const client = new BedrockRuntimeClient({ region: AWS_REGION });

  // Prepare the payload for the model.
  const payload = {
    anthropic_version: "bedrock-2023-05-31",
    max_tokens: 1000,
    messages: [{ role: "user", content: [{ type: "text", text: PROMPT }] }],
  };

  // Invoke Claude with the payload and wait for the response.
  const apiResponse = await client.send(
    new InvokeModelCommand({
      contentType: "application/json",
      body: JSON.stringify(payload),
      modelId: MODEL_ID,
    }),
  );

  // Decode and return the response(s)
  const decodedResponseBody = new TextDecoder().decode(apiResponse.body);
  /** @type {ResponseBody} */
  const responseBody = JSON.parse(decodedResponseBody);
  const responses = responseBody.content;

  if (responses.length === 1) {
    console.log(`Response: ${responses[0].text}`);
  } else {
    console.log("Haiku returned multiple responses:");
    console.log(responses);
  }

  console.log(`\nNumber of input tokens:   ${responseBody.usage.input_tokens}`);
  console.log(`Number of output tokens: ${responseBody.usage.output_tokens}`);
};

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  await hello();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelCommand)。

## 案例
<a name="scenarios"></a>

### 在 Amazon Bedrock 上調用多個基礎模型
<a name="bedrock-runtime_Scenario_InvokeModels_javascript_3_topic"></a>

下列程式碼範例示範如何在 Amazon Bedrock 上準備並傳送提示至各種大型語言模型 (LLM)

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { FoundationModels } from "../config/foundation_models.js";

/**
 * @typedef {Object} ModelConfig
 * @property {Function} module
 * @property {Function} invoker
 * @property {string} modelId
 * @property {string} modelName
 */

const greeting = new ScenarioOutput(
  "greeting",
  "Welcome to the Amazon Bedrock Runtime client demo!",
  { header: true },
);

const selectModel = new ScenarioInput("model", "First, select a model:", {
  type: "select",
  choices: Object.values(FoundationModels).map((model) => ({
    name: model.modelName,
    value: model,
  })),
});

const enterPrompt = new ScenarioInput("prompt", "Now, enter your prompt:", {
  type: "input",
});

const printDetails = new ScenarioOutput(
  "print details",
  /**
   * @param {{ model: ModelConfig, prompt: string }} c
   */
  (c) => console.log(`Invoking ${c.model.modelName} with '${c.prompt}'...`),
);

const invokeModel = new ScenarioAction(
  "invoke model",
  /**
   * @param {{ model: ModelConfig, prompt: string, response: string }} c
   */
  async (c) => {
    const modelModule = await c.model.module();
    const invoker = c.model.invoker(modelModule);
    c.response = await invoker(c.prompt, c.model.modelId);
  },
);

const printResponse = new ScenarioOutput(
  "print response",
  /**
   * @param {{ response: string }} c
   */
  (c) => c.response,
);

const scenario = new Scenario("Amazon Bedrock Runtime Demo", [
  greeting,
  selectModel,
  enterPrompt,
  printDetails,
  invokeModel,
  printResponse,
]);

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  scenario.run();
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [InvokeModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelCommand)
  + [InvokeModelWithResponseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelWithResponseStreamCommand)

### 搭配 Converse API 使用工具
<a name="bedrock-runtime_Scenario_ToolUse_javascript_3_topic"></a>

下列程式碼範例示範如何在應用程式、生成式 AI 模型和連線工具或 API 之間建立典型的互動，以媒介 AI 與外部世界之間的互動。其使用將外部天氣 API 連接線至 AI 模型的範例，以根據使用者輸入提供即時天氣資訊。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime/scenarios/converse_tool_scenario#code-examples)中設定和執行。
案例流程的主要執行。此案例會協調使用者、Amazon Bedrock Converse API 和天氣工具之間的對話。  

```
/* Before running this JavaScript code example, set up your development environment, including your credentials.
This demo illustrates a tool use scenario using Amazon Bedrock's Converse API and a weather tool.
The script interacts with a foundation model on Amazon Bedrock to provide weather information based on user
input. It uses the Open-Meteo API (https://open-meteo.com) to retrieve current weather data for a given location.*/

import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

import { parseArgs } from "node:util";
import { fileURLToPath } from "node:url";
import data from "./questions.json" with { type: "json" };
import toolConfig from "./tool_config.json" with { type: "json" };

const __filename = fileURLToPath(import.meta.url);

const systemPrompt = [
  {
    text:
      "You are a weather assistant that provides current weather data for user-specified locations using only\n" +
      "the Weather_Tool, which expects latitude and longitude. Infer the coordinates from the location yourself.\n" +
      "If the user provides coordinates, infer the approximate location and refer to it in your response.\n" +
      "To use the tool, you strictly apply the provided tool specification.\n" +
      "If the user specifies a state, country, or region, infer the locations of cities within that state.\n" +
      "\n" +
      "- Explain your step-by-step process, and give brief updates before each step.\n" +
      "- Only use the Weather_Tool for data. Never guess or make up information. \n" +
      "- Repeat the tool use for subsequent requests if necessary.\n" +
      "- If the tool errors, apologize, explain weather is unavailable, and suggest other options.\n" +
      "- Report temperatures in °C (°F) and wind in km/h (mph). Keep weather reports concise. Sparingly use\n" +
      "  emojis where appropriate.\n" +
      "- Only respond to weather queries. Remind off-topic users of your purpose. \n" +
      "- Never claim to search online, access external data, or use tools besides Weather_Tool.\n" +
      "- Complete the entire process until you have all required data before sending the complete response.",
  },
];
const tools_config = toolConfig;

/// Starts the conversation with the user and handles the interaction with Bedrock.
async function askQuestion(userMessage) {
  // The maximum number of recursive calls allowed in the tool use function.
  // This helps prevent infinite loops and potential performance issues.
  const max_recursions = 5;
  const messages = [
    {
      role: "user",
      content: [{ text: userMessage }],
    },
  ];
  try {
    const response = await SendConversationtoBedrock(messages);
    await ProcessModelResponseAsync(response, messages, max_recursions);
  } catch (error) {
    console.log("error ", error);
  }
}

// Sends the conversation, the system prompt, and the tool spec to Amazon Bedrock, and returns the response.
// param "messages" - The conversation history including the next message to send.
// return - The response from Amazon Bedrock.
async function SendConversationtoBedrock(messages) {
  const bedRockRuntimeClient = new BedrockRuntimeClient({
    region: "us-east-1",
  });
  try {
    const modelId = "amazon.nova-lite-v1:0";
    const response = await bedRockRuntimeClient.send(
      new ConverseCommand({
        modelId: modelId,
        messages: messages,
        system: systemPrompt,
        toolConfig: tools_config,
      }),
    );
    return response;
  } catch (caught) {
    if (caught.name === "ModelNotReady") {
      console.log(
        "`${caught.name}` - Model not ready, please wait and try again.",
      );
      throw caught;
    }
    if (caught.name === "BedrockRuntimeException") {
      console.log(
        '`${caught.name}` - "Error occurred while sending Converse request.',
      );
      throw caught;
    }
  }
}

// Processes the response received via Amazon Bedrock and performs the necessary actions based on the stop reason.
// param "response" - The model's response returned via Amazon Bedrock.
// param "messages" - The conversation history.
// param "max_recursions" - The maximum number of recursive calls allowed.
async function ProcessModelResponseAsync(response, messages, max_recursions) {
  if (max_recursions <= 0) {
    await HandleToolUseAsync(response, messages);
  }
  if (response.stopReason === "tool_use") {
    await HandleToolUseAsync(response, messages, max_recursions - 1);
  }
  if (response.stopReason === "end_turn") {
    const messageToPrint = response.output.message.content[0].text;
    console.log(messageToPrint.replace(/<[^>]+>/g, ""));
  }
}
// Handles the tool use case by invoking the specified tool and sending the tool's response back to Bedrock.
// The tool response is appended to the conversation, and the conversation is sent back to Amazon Bedrock for further processing.
// param "response" - the model's response containing the tool use request.
// param "messages" - the conversation history.
// param "max_recursions" - The maximum number of recursive calls allowed.
async function HandleToolUseAsync(response, messages, max_recursions) {
  const toolResultFinal = [];
  try {
    const output_message = response.output.message;
    messages.push(output_message);
    const toolRequests = output_message.content;
    const toolMessage = toolRequests[0].text;
    console.log(toolMessage.replace(/<[^>]+>/g, ""));
    for (const toolRequest of toolRequests) {
      if (Object.hasOwn(toolRequest, "toolUse")) {
        const toolUse = toolRequest.toolUse;
        const latitude = toolUse.input.latitude;
        const longitude = toolUse.input.longitude;
        const toolUseID = toolUse.toolUseId;
        console.log(
          `Requesting tool ${toolUse.name}, Tool use id ${toolUseID}`,
        );
        if (toolUse.name === "Weather_Tool") {
          try {
            const current_weather = await callWeatherTool(
              longitude,
              latitude,
            ).then((current_weather) => current_weather);
            const currentWeather = current_weather;
            const toolResult = {
              toolResult: {
                toolUseId: toolUseID,
                content: [{ json: currentWeather }],
              },
            };
            toolResultFinal.push(toolResult);
          } catch (err) {
            console.log("An error occurred. ", err);
          }
        }
      }
    }

    const toolResultMessage = {
      role: "user",
      content: toolResultFinal,
    };
    messages.push(toolResultMessage);
    // Send the conversation to Amazon Bedrock
    await ProcessModelResponseAsync(
      await SendConversationtoBedrock(messages),
      messages,
    );
  } catch (error) {
    console.log("An error occurred. ", error);
  }
}
// Call the Weathertool.
// param = longitude of location
// param = latitude of location
async function callWeatherTool(longitude, latitude) {
  // Open-Meteo API endpoint
  const apiUrl = `https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&current_weather=true`;

  // Fetch the weather data.
  return fetch(apiUrl)
    .then((response) => {
      return response.json().then((current_weather) => {
        return current_weather;
      });
    })
    .catch((error) => {
      console.error("Error fetching weather data:", error);
    });
}
/**
 * Used repeatedly to have the user press enter.
 * @type {ScenarioInput}
 */
const pressEnter = new ScenarioInput("continue", "Press Enter to continue", {
  type: "input",
  default: "",
});

const greet = new ScenarioOutput(
  "greet",
  "Welcome to the Amazon Bedrock Tool Use demo! \n" +
    "This assistant provides current weather information for user-specified locations. " +
    "You can ask for weather details by providing the location name or coordinates." +
    "Weather information will be provided using a custom Tool and open-meteo API." +
    "For the purposes of this example, we'll use in order the questions in ./questions.json :\n" +
    "What's the weather like in Seattle? " +
    "What's the best kind of cat? " +
    "Where is the warmest city in Washington State right now? " +
    "What's the warmest city in California right now?\n" +
    "To exit the program, simply type 'x' and press Enter.\n" +
    "Have fun and experiment with the app by editing the questions in ./questions.json! " +
    "P.S.: You're not limited to single locations, or even to using English! ",

  { header: true },
);
const displayAskQuestion1 = new ScenarioOutput(
  "displayAskQuestion1",
  "Press enter to ask question number 1 (default is 'What's the weather like in Seattle?')",
);

const askQuestion1 = new ScenarioAction(
  "askQuestion1",
  async (/** @type {State} */ state) => {
    const userMessage1 = data.questions["question-1"];
    await askQuestion(userMessage1);
  },
);

const displayAskQuestion2 = new ScenarioOutput(
  "displayAskQuestion2",
  "Press enter to ask question number 2 (default is 'What's the best kind of cat?')",
);

const askQuestion2 = new ScenarioAction(
  "askQuestion2",
  async (/** @type {State} */ state) => {
    const userMessage2 = data.questions["question-2"];
    await askQuestion(userMessage2);
  },
);
const displayAskQuestion3 = new ScenarioOutput(
  "displayAskQuestion3",
  "Press enter to ask question number 3 (default is 'Where is the warmest city in Washington State right now?')",
);

const askQuestion3 = new ScenarioAction(
  "askQuestion3",
  async (/** @type {State} */ state) => {
    const userMessage3 = data.questions["question-3"];
    await askQuestion(userMessage3);
  },
);

const displayAskQuestion4 = new ScenarioOutput(
  "displayAskQuestion4",
  "Press enter to ask question number 4 (default is 'What's the warmest city in California right now?')",
);

const askQuestion4 = new ScenarioAction(
  "askQuestion4",
  async (/** @type {State} */ state) => {
    const userMessage4 = data.questions["question-4"];
    await askQuestion(userMessage4);
  },
);

const goodbye = new ScenarioOutput(
  "goodbye",
  "Thank you for checking out the Amazon Bedrock Tool Use demo. We hope you\n" +
    "learned something new, or got some inspiration for your own apps today!\n" +
    "For more Bedrock examples in different programming languages, have a look at:\n" +
    "https://docs.aws.amazon.com/bedrock/latest/userguide/service_code_examples.html",
);

const myScenario = new Scenario("Converse Tool Scenario", [
  greet,
  pressEnter,
  displayAskQuestion1,
  askQuestion1,
  pressEnter,
  displayAskQuestion2,
  askQuestion2,
  pressEnter,
  displayAskQuestion3,
  askQuestion3,
  pressEnter,
  displayAskQuestion4,
  askQuestion4,
  pressEnter,
  goodbye,
]);

/** @type {{ stepHandlerOptions: StepHandlerOptions }} */
export const main = async (stepHandlerOptions) => {
  await myScenario.run(stepHandlerOptions);
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const { values } = parseArgs({
    options: {
      yes: {
        type: "boolean",
        short: "y",
      },
    },
  });
  main({ confirmAll: values.yes });
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

## Amazon Nova
<a name="amazon_nova"></a>

### Converse
<a name="bedrock-runtime_Converse_AmazonNovaText_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Amazon Nova。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API，將文字訊息傳送至 Amazon Nova。  

```
// This example demonstrates how to use the Amazon Nova foundation models to generate text.
// It shows how to:
// - Set up the Amazon Bedrock runtime client
// - Create a message
// - Configure and send a request
// - Process the response

import {
  BedrockRuntimeClient,
  ConversationRole,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Step 1: Create the Amazon Bedrock runtime client
// Credentials will be automatically loaded from the environment.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Step 2: Specify which model to use:
// Available Amazon Nova models and their characteristics:
// - Amazon Nova Micro: Text-only model optimized for lowest latency and cost
// - Amazon Nova Lite:  Fast, low-cost multimodal model for image, video, and text
// - Amazon Nova Pro:   Advanced multimodal model balancing accuracy, speed, and cost
//
// For the most current model IDs, see:
// https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
const modelId = "amazon.nova-lite-v1:0";

// Step 3: Create the message
// The message includes the text prompt and specifies that it comes from the user
const inputText =
  "Describe the purpose of a 'hello world' program in one line.";
const message = {
  content: [{ text: inputText }],
  role: ConversationRole.USER,
};

// Step 4: Configure the request
// Optional parameters to control the model's response:
// - maxTokens: maximum number of tokens to generate
// - temperature: randomness (max: 1.0, default: 0.7)
//   OR
// - topP: diversity of word choice (max: 1.0, default: 0.9)
// Note: Use either temperature OR topP, but not both
const request = {
  modelId,
  messages: [message],
  inferenceConfig: {
    maxTokens: 500, // The maximum response length
    temperature: 0.5, // Using temperature for randomness control
    //topP: 0.9,        // Alternative: use topP instead of temperature
  },
};

// Step 5: Send and process the request
// - Send the request to the model
// - Extract and return the generated text from the response
try {
  const response = await client.send(new ConverseCommand(request));
  console.log(response.output.message.content[0].text);
} catch (error) {
  console.error(`ERROR: Can't invoke '${modelId}'. Reason: ${error.message}`);
  throw error;
}
```
搭配使用 Bedrock 的 Converse API 和工具組態，將訊息對話傳送至 Amazon Nova。  

```
// This example demonstrates how to send a conversation of messages to Amazon Nova using Bedrock's Converse API with a tool configuration.
// It shows how to:
// - 1. Set up the Amazon Bedrock runtime client
// - 2. Define the parameters required enable Amazon Bedrock to use a tool when formulating its response (model ID, user input, system prompt, and the tool spec)
// - 3. Send the request to Amazon Bedrock, and returns the response.
// - 4. Add the tool response to the conversation, and send it back to Amazon Bedrock.
// - 5. Publish the response.

import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Step 1: Create the Amazon Bedrock runtime client

// Credentials will be automatically loaded from the environment
const bedRockRuntimeClient = new BedrockRuntimeClient({
  region: "us-east-1",
});

// Step 2. Define the parameters required enable Amazon Bedrock to use a tool when formulating its response.

// The Bedrock Model ID.
const modelId = "amazon.nova-lite-v1:0";

// The system prompt to help Amazon Bedrock craft it's response.
const system_prompt = [
  {
    text:
      "You are a music expert that provides the most popular song played on a radio station, using only the\n" +
      "the top_song tool, which he call sign for the radio station for which you want the most popular song. " +
      "Example calls signs are WZPZ and WKRP. \n" +
      "- Only use the top_song tool. Never guess or make up information. \n" +
      "- If the tool errors, apologize, explain weather is unavailable, and suggest other options.\n" +
      "- Only respond to queries about the most popular song played on a radio station\n" +
      "Remind off-topic users of your purpose. \n" +
      "- Never claim to search online, access external data, or use tools besides the top_song tool.\n",
  },
];
//  The user's question.
const message = [
  {
    role: "user",
    content: [{ text: "What is the most popular song on WZPZ?" }],
  },
];
// The tool specification. In this case, it uses an example schema for
// a tool that gets the most popular song played on a radio station.
const tool_config = {
  tools: [
    {
      toolSpec: {
        name: "top_song",
        description: "Get the most popular song played on a radio station.",
        inputSchema: {
          json: {
            type: "object",
            properties: {
              sign: {
                type: "string",
                description:
                  "The call sign for the radio station for which you want the most popular song. Example calls signs are WZPZ and WKRP.",
              },
            },
            required: ["sign"],
          },
        },
      },
    },
  ],
};

// Helper function to return the song and artist from top_song tool.
async function get_top_song(call_sign) {
  try {
    if (call_sign === "WZPZ") {
      const song = "Elemental Hotel";
      const artist = "8 Storey Hike";
      return { song, artist };
    }
  } catch (error) {
    console.log(`${error.message}`);
  }
}

// 3. Send the request to Amazon Bedrock, and returns the response.
export async function SendConversationtoBedrock(
  modelId,
  message,
  system_prompt,
  tool_config,
) {
  try {
    const response = await bedRockRuntimeClient.send(
      new ConverseCommand({
        modelId: modelId,
        messages: message,
        system: system_prompt,
        toolConfig: tool_config,
      }),
    );
    if (response.stopReason === "tool_use") {
      const toolResultFinal = [];
      try {
        const output_message = response.output.message;
        message.push(output_message);
        const toolRequests = output_message.content;
        const toolMessage = toolRequests[0].text;
        console.log(toolMessage.replace(/<[^>]+>/g, ""));
        for (const toolRequest of toolRequests) {
          if (Object.hasOwn(toolRequest, "toolUse")) {
            const toolUse = toolRequest.toolUse;
            const sign = toolUse.input.sign;
            const toolUseID = toolUse.toolUseId;
            console.log(
              `Requesting tool ${toolUse.name}, Tool use id ${toolUseID}`,
            );
            if (toolUse.name === "top_song") {
              const toolResult = [];
              try {
                const top_song = await get_top_song(toolUse.input.sign).then(
                  (top_song) => top_song,
                );
                const toolResult = {
                  toolResult: {
                    toolUseId: toolUseID,
                    content: [
                      {
                        json: { song: top_song.song, artist: top_song.artist },
                      },
                    ],
                  },
                };
                toolResultFinal.push(toolResult);
              } catch (err) {
                const toolResult = {
                  toolUseId: toolUseID,
                  content: [{ json: { text: err.message } }],
                  status: "error",
                };
              }
            }
          }
        }
        const toolResultMessage = {
          role: "user",
          content: toolResultFinal,
        };
        // Step 4. Add the tool response to the conversation, and send it back to Amazon Bedrock.

        message.push(toolResultMessage);
        await SendConversationtoBedrock(
          modelId,
          message,
          system_prompt,
          tool_config,
        );
      } catch (caught) {
        console.error(`${caught.message}`);
        throw caught;
      }
    }

    // 4. Publish the response.
    if (response.stopReason === "end_turn") {
      const finalMessage = response.output.message.content[0].text;
      const messageToPrint = finalMessage.replace(/<[^>]+>/g);
      console.log(messageToPrint.replace(/<[^>]+>/g));
      return messageToPrint;
    }
  } catch (caught) {
    if (caught.name === "ModelNotReady") {
      console.log(
        `${caught.name} - Model not ready, please wait and try again.`,
      );
      throw caught;
    }
    if (caught.name === "BedrockRuntimeException") {
      console.log(
        `${caught.name} - Error occurred while sending Converse request`,
      );
      throw caught;
    }
  }
}
await SendConversationtoBedrock(modelId, message, system_prompt, tool_config);
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

### ConverseStream
<a name="bedrock-runtime_ConverseStream_AmazonNovaText_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API 將文字訊息傳送至 Amazon Nova，並即時處理回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API 將文字訊息傳送至 Amazon Nova，並即時處理回應串流。  

```
// This example demonstrates how to use the Amazon Nova foundation models
// to generate streaming text responses.
// It shows how to:
// - Set up the Amazon Bedrock runtime client
// - Create a message
// - Configure a streaming request
// - Process the streaming response

import {
  BedrockRuntimeClient,
  ConversationRole,
  ConverseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Step 1: Create the Amazon Bedrock runtime client
// Credentials will be automatically loaded from the environment
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Step 2: Specify which model to use
// Available Amazon Nova models and their characteristics:
// - Amazon Nova Micro: Text-only model optimized for lowest latency and cost
// - Amazon Nova Lite:  Fast, low-cost multimodal model for image, video, and text
// - Amazon Nova Pro:   Advanced multimodal model balancing accuracy, speed, and cost
//
// For the most current model IDs, see:
// https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
const modelId = "amazon.nova-lite-v1:0";

// Step 3: Create the message
// The message includes the text prompt and specifies that it comes from the user
const inputText =
  "Describe the purpose of a 'hello world' program in one paragraph";
const message = {
  content: [{ text: inputText }],
  role: ConversationRole.USER,
};

// Step 4: Configure the streaming request
// Optional parameters to control the model's response:
// - maxTokens: maximum number of tokens to generate
// - temperature: randomness (max: 1.0, default: 0.7)
//   OR
// - topP: diversity of word choice (max: 1.0, default: 0.9)
// Note: Use either temperature OR topP, but not both
const request = {
  modelId,
  messages: [message],
  inferenceConfig: {
    maxTokens: 500, // The maximum response length
    temperature: 0.5, // Using temperature for randomness control
    //topP: 0.9,        // Alternative: use topP instead of temperature
  },
};

// Step 5: Send and process the streaming request
// - Send the request to the model
// - Process each chunk of the streaming response
try {
  const response = await client.send(new ConverseStreamCommand(request));

  for await (const chunk of response.stream) {
    if (chunk.contentBlockDelta) {
      // Print each text chunk as it arrives
      process.stdout.write(chunk.contentBlockDelta.delta?.text || "");
    }
  }
} catch (error) {
  console.error(`ERROR: Can't invoke '${modelId}'. Reason: ${error.message}`);
  process.exitCode = 1;
}
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ConverseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseStreamCommand)。

### 案例：工具與 Converse API 搭配使用
<a name="bedrock-runtime_Scenario_ToolUseDemo_AmazonNova_javascript_3_topic"></a>

下列程式碼範例示範如何在應用程式、生成式 AI 模型和連線工具或 API 之間建立典型的互動，以媒介 AI 與外部世界之間的互動。其使用將外部天氣 API 連接線至 AI 模型的範例，以根據使用者輸入提供即時天氣資訊。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime/scenarios/converse_tool_scenario#code-examples)中設定和執行。
案例流程的主要執行。此案例會協調使用者、Amazon Bedrock Converse API 和天氣工具之間的對話。  

```
/* Before running this JavaScript code example, set up your development environment, including your credentials.
This demo illustrates a tool use scenario using Amazon Bedrock's Converse API and a weather tool.
The script interacts with a foundation model on Amazon Bedrock to provide weather information based on user
input. It uses the Open-Meteo API (https://open-meteo.com) to retrieve current weather data for a given location.*/

import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

import { parseArgs } from "node:util";
import { fileURLToPath } from "node:url";
import data from "./questions.json" with { type: "json" };
import toolConfig from "./tool_config.json" with { type: "json" };

const __filename = fileURLToPath(import.meta.url);

const systemPrompt = [
  {
    text:
      "You are a weather assistant that provides current weather data for user-specified locations using only\n" +
      "the Weather_Tool, which expects latitude and longitude. Infer the coordinates from the location yourself.\n" +
      "If the user provides coordinates, infer the approximate location and refer to it in your response.\n" +
      "To use the tool, you strictly apply the provided tool specification.\n" +
      "If the user specifies a state, country, or region, infer the locations of cities within that state.\n" +
      "\n" +
      "- Explain your step-by-step process, and give brief updates before each step.\n" +
      "- Only use the Weather_Tool for data. Never guess or make up information. \n" +
      "- Repeat the tool use for subsequent requests if necessary.\n" +
      "- If the tool errors, apologize, explain weather is unavailable, and suggest other options.\n" +
      "- Report temperatures in °C (°F) and wind in km/h (mph). Keep weather reports concise. Sparingly use\n" +
      "  emojis where appropriate.\n" +
      "- Only respond to weather queries. Remind off-topic users of your purpose. \n" +
      "- Never claim to search online, access external data, or use tools besides Weather_Tool.\n" +
      "- Complete the entire process until you have all required data before sending the complete response.",
  },
];
const tools_config = toolConfig;

/// Starts the conversation with the user and handles the interaction with Bedrock.
async function askQuestion(userMessage) {
  // The maximum number of recursive calls allowed in the tool use function.
  // This helps prevent infinite loops and potential performance issues.
  const max_recursions = 5;
  const messages = [
    {
      role: "user",
      content: [{ text: userMessage }],
    },
  ];
  try {
    const response = await SendConversationtoBedrock(messages);
    await ProcessModelResponseAsync(response, messages, max_recursions);
  } catch (error) {
    console.log("error ", error);
  }
}

// Sends the conversation, the system prompt, and the tool spec to Amazon Bedrock, and returns the response.
// param "messages" - The conversation history including the next message to send.
// return - The response from Amazon Bedrock.
async function SendConversationtoBedrock(messages) {
  const bedRockRuntimeClient = new BedrockRuntimeClient({
    region: "us-east-1",
  });
  try {
    const modelId = "amazon.nova-lite-v1:0";
    const response = await bedRockRuntimeClient.send(
      new ConverseCommand({
        modelId: modelId,
        messages: messages,
        system: systemPrompt,
        toolConfig: tools_config,
      }),
    );
    return response;
  } catch (caught) {
    if (caught.name === "ModelNotReady") {
      console.log(
        "`${caught.name}` - Model not ready, please wait and try again.",
      );
      throw caught;
    }
    if (caught.name === "BedrockRuntimeException") {
      console.log(
        '`${caught.name}` - "Error occurred while sending Converse request.',
      );
      throw caught;
    }
  }
}

// Processes the response received via Amazon Bedrock and performs the necessary actions based on the stop reason.
// param "response" - The model's response returned via Amazon Bedrock.
// param "messages" - The conversation history.
// param "max_recursions" - The maximum number of recursive calls allowed.
async function ProcessModelResponseAsync(response, messages, max_recursions) {
  if (max_recursions <= 0) {
    await HandleToolUseAsync(response, messages);
  }
  if (response.stopReason === "tool_use") {
    await HandleToolUseAsync(response, messages, max_recursions - 1);
  }
  if (response.stopReason === "end_turn") {
    const messageToPrint = response.output.message.content[0].text;
    console.log(messageToPrint.replace(/<[^>]+>/g, ""));
  }
}
// Handles the tool use case by invoking the specified tool and sending the tool's response back to Bedrock.
// The tool response is appended to the conversation, and the conversation is sent back to Amazon Bedrock for further processing.
// param "response" - the model's response containing the tool use request.
// param "messages" - the conversation history.
// param "max_recursions" - The maximum number of recursive calls allowed.
async function HandleToolUseAsync(response, messages, max_recursions) {
  const toolResultFinal = [];
  try {
    const output_message = response.output.message;
    messages.push(output_message);
    const toolRequests = output_message.content;
    const toolMessage = toolRequests[0].text;
    console.log(toolMessage.replace(/<[^>]+>/g, ""));
    for (const toolRequest of toolRequests) {
      if (Object.hasOwn(toolRequest, "toolUse")) {
        const toolUse = toolRequest.toolUse;
        const latitude = toolUse.input.latitude;
        const longitude = toolUse.input.longitude;
        const toolUseID = toolUse.toolUseId;
        console.log(
          `Requesting tool ${toolUse.name}, Tool use id ${toolUseID}`,
        );
        if (toolUse.name === "Weather_Tool") {
          try {
            const current_weather = await callWeatherTool(
              longitude,
              latitude,
            ).then((current_weather) => current_weather);
            const currentWeather = current_weather;
            const toolResult = {
              toolResult: {
                toolUseId: toolUseID,
                content: [{ json: currentWeather }],
              },
            };
            toolResultFinal.push(toolResult);
          } catch (err) {
            console.log("An error occurred. ", err);
          }
        }
      }
    }

    const toolResultMessage = {
      role: "user",
      content: toolResultFinal,
    };
    messages.push(toolResultMessage);
    // Send the conversation to Amazon Bedrock
    await ProcessModelResponseAsync(
      await SendConversationtoBedrock(messages),
      messages,
    );
  } catch (error) {
    console.log("An error occurred. ", error);
  }
}
// Call the Weathertool.
// param = longitude of location
// param = latitude of location
async function callWeatherTool(longitude, latitude) {
  // Open-Meteo API endpoint
  const apiUrl = `https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&current_weather=true`;

  // Fetch the weather data.
  return fetch(apiUrl)
    .then((response) => {
      return response.json().then((current_weather) => {
        return current_weather;
      });
    })
    .catch((error) => {
      console.error("Error fetching weather data:", error);
    });
}
/**
 * Used repeatedly to have the user press enter.
 * @type {ScenarioInput}
 */
const pressEnter = new ScenarioInput("continue", "Press Enter to continue", {
  type: "input",
  default: "",
});

const greet = new ScenarioOutput(
  "greet",
  "Welcome to the Amazon Bedrock Tool Use demo! \n" +
    "This assistant provides current weather information for user-specified locations. " +
    "You can ask for weather details by providing the location name or coordinates." +
    "Weather information will be provided using a custom Tool and open-meteo API." +
    "For the purposes of this example, we'll use in order the questions in ./questions.json :\n" +
    "What's the weather like in Seattle? " +
    "What's the best kind of cat? " +
    "Where is the warmest city in Washington State right now? " +
    "What's the warmest city in California right now?\n" +
    "To exit the program, simply type 'x' and press Enter.\n" +
    "Have fun and experiment with the app by editing the questions in ./questions.json! " +
    "P.S.: You're not limited to single locations, or even to using English! ",

  { header: true },
);
const displayAskQuestion1 = new ScenarioOutput(
  "displayAskQuestion1",
  "Press enter to ask question number 1 (default is 'What's the weather like in Seattle?')",
);

const askQuestion1 = new ScenarioAction(
  "askQuestion1",
  async (/** @type {State} */ state) => {
    const userMessage1 = data.questions["question-1"];
    await askQuestion(userMessage1);
  },
);

const displayAskQuestion2 = new ScenarioOutput(
  "displayAskQuestion2",
  "Press enter to ask question number 2 (default is 'What's the best kind of cat?')",
);

const askQuestion2 = new ScenarioAction(
  "askQuestion2",
  async (/** @type {State} */ state) => {
    const userMessage2 = data.questions["question-2"];
    await askQuestion(userMessage2);
  },
);
const displayAskQuestion3 = new ScenarioOutput(
  "displayAskQuestion3",
  "Press enter to ask question number 3 (default is 'Where is the warmest city in Washington State right now?')",
);

const askQuestion3 = new ScenarioAction(
  "askQuestion3",
  async (/** @type {State} */ state) => {
    const userMessage3 = data.questions["question-3"];
    await askQuestion(userMessage3);
  },
);

const displayAskQuestion4 = new ScenarioOutput(
  "displayAskQuestion4",
  "Press enter to ask question number 4 (default is 'What's the warmest city in California right now?')",
);

const askQuestion4 = new ScenarioAction(
  "askQuestion4",
  async (/** @type {State} */ state) => {
    const userMessage4 = data.questions["question-4"];
    await askQuestion(userMessage4);
  },
);

const goodbye = new ScenarioOutput(
  "goodbye",
  "Thank you for checking out the Amazon Bedrock Tool Use demo. We hope you\n" +
    "learned something new, or got some inspiration for your own apps today!\n" +
    "For more Bedrock examples in different programming languages, have a look at:\n" +
    "https://docs.aws.amazon.com/bedrock/latest/userguide/service_code_examples.html",
);

const myScenario = new Scenario("Converse Tool Scenario", [
  greet,
  pressEnter,
  displayAskQuestion1,
  askQuestion1,
  pressEnter,
  displayAskQuestion2,
  askQuestion2,
  pressEnter,
  displayAskQuestion3,
  askQuestion3,
  pressEnter,
  displayAskQuestion4,
  askQuestion4,
  pressEnter,
  goodbye,
]);

/** @type {{ stepHandlerOptions: StepHandlerOptions }} */
export const main = async (stepHandlerOptions) => {
  await myScenario.run(stepHandlerOptions);
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const { values } = parseArgs({
    options: {
      yes: {
        type: "boolean",
        short: "y",
      },
    },
  });
  main({ confirmAll: values.yes });
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

## Amazon Nova Canvas
<a name="amazon_nova_canvas"></a>

### InvokeModel
<a name="bedrock-runtime_InvokeModel_AmazonNovaImageGeneration_javascript_3_topic"></a>

下列程式碼範例示範如何在 Amazon Bedrock 上調用 Amazon Nova Canvas 來產生映像。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Amazon Nova Canvas 建立映像。  

```
import {
  BedrockRuntimeClient,
  InvokeModelCommand,
} from "@aws-sdk/client-bedrock-runtime";
import { saveImage } from "../../utils/image-creation.js";
import { fileURLToPath } from "node:url";

/**
 * This example demonstrates how to use Amazon Nova Canvas to generate images.
 * It shows how to:
 * - Set up the Amazon Bedrock runtime client
 * - Configure the image generation parameters
 * - Send a request to generate an image
 * - Process the response and handle the generated image
 *
 * @returns {Promise<string>} Base64-encoded image data
 */
export const invokeModel = async () => {
  // Step 1: Create the Amazon Bedrock runtime client
  // Credentials will be automatically loaded from the environment
  const client = new BedrockRuntimeClient({ region: "us-east-1" });

  // Step 2: Specify which model to use
  // For the latest available models, see:
  // https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
  const modelId = "amazon.nova-canvas-v1:0";

  // Step 3: Configure the request payload
  // First, set the main parameters:
  // - prompt: Text description of the image to generate
  // - seed: Random number for reproducible generation (0 to 858,993,459)
  const prompt = "A stylized picture of a cute old steampunk robot";
  const seed = Math.floor(Math.random() * 858993460);

  // Then, create the payload using the following structure:
  // - taskType: TEXT_IMAGE (specifies text-to-image generation)
  // - textToImageParams: Contains the text prompt
  // - imageGenerationConfig: Contains optional generation settings (seed, quality, etc.)
  // For a list of available request parameters, see:
  // https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html
  const payload = {
    taskType: "TEXT_IMAGE",
    textToImageParams: {
      text: prompt,
    },
    imageGenerationConfig: {
      seed,
      quality: "standard",
    },
  };

  // Step 4: Send and process the request
  // - Embed the payload in a request object
  // - Send the request to the model
  // - Extract and return the generated image data from the response
  try {
    const request = {
      modelId,
      body: JSON.stringify(payload),
    };
    const response = await client.send(new InvokeModelCommand(request));

    const decodedResponseBody = new TextDecoder().decode(response.body);
    // The response includes an array of base64-encoded PNG images
    /** @type {{images: string[]}} */
    const responseBody = JSON.parse(decodedResponseBody);
    return responseBody.images[0]; // Base64-encoded image data
  } catch (error) {
    console.error(`ERROR: Can't invoke '${modelId}'. Reason: ${error.message}`);
    throw error;
  }
};

// If run directly, execute the example and save the generated image
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  console.log("Generating image. This may take a few seconds...");
  invokeModel()
    .then(async (imageData) => {
      const imagePath = await saveImage(imageData, "nova-canvas");
      // Example path: javascriptv3/example_code/bedrock-runtime/output/nova-canvas/image-01.png
      console.log(`Image saved to: ${imagePath}`);
    })
    .catch((error) => {
      console.error("Execution failed:", error);
      process.exitCode = 1;
    });
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelCommand)。

## Anthropic Claude
<a name="anthropic_claude"></a>

### Converse
<a name="bedrock-runtime_Converse_AnthropicClaude_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Anthropic Claude。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API，將文字訊息傳送至 Anthropic Claude。  

```
// Use the Conversation API to send a text message to Anthropic Claude.

import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Claude 3 Haiku.
const modelId = "anthropic.claude-3-haiku-20240307-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the response text.
  const responseText = response.output.message.content[0].text;
  console.log(responseText);
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

### ConverseStream
<a name="bedrock-runtime_ConverseStream_AnthropicClaude_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API 將文字訊息傳送至 Anthropic Claude，並即時處理回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API 將文字訊息傳送至 Anthropic Claude，並即時處理回應串流。  

```
// Use the Conversation API to send a text message to Anthropic Claude.

import {
  BedrockRuntimeClient,
  ConverseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Claude 3 Haiku.
const modelId = "anthropic.claude-3-haiku-20240307-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseStreamCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the streamed response text in real-time.
  for await (const item of response.stream) {
    if (item.contentBlockDelta) {
      process.stdout.write(item.contentBlockDelta.delta?.text);
    }
  }
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ConverseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseStreamCommand)。

### InvokeModel
<a name="bedrock-runtime_InvokeModel_AnthropicClaude_javascript_3_topic"></a>

下列程式碼範例示範如何使用調用模型 API，將文字訊息傳送至 Anthropic Claude。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用調用模型 API 傳送文字訊息。  

```
import { fileURLToPath } from "node:url";

import { FoundationModels } from "../../config/foundation_models.js";
import {
  BedrockRuntimeClient,
  InvokeModelCommand,
  InvokeModelWithResponseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

/**
 * @typedef {Object} ResponseContent
 * @property {string} text
 *
 * @typedef {Object} MessagesResponseBody
 * @property {ResponseContent[]} content
 *
 * @typedef {Object} Delta
 * @property {string} text
 *
 * @typedef {Object} Message
 * @property {string} role
 *
 * @typedef {Object} Chunk
 * @property {string} type
 * @property {Delta} delta
 * @property {Message} message
 */

/**
 * Invokes Anthropic Claude 3 using the Messages API.
 *
 * To learn more about the Anthropic Messages API, go to:
 * https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
 *
 * @param {string} prompt - The input text prompt for the model to complete.
 * @param {string} [modelId] - The ID of the model to use. Defaults to "anthropic.claude-3-haiku-20240307-v1:0".
 */
export const invokeModel = async (
  prompt,
  modelId = "anthropic.claude-3-haiku-20240307-v1:0",
) => {
  // Create a new Bedrock Runtime client instance.
  const client = new BedrockRuntimeClient({ region: "us-east-1" });

  // Prepare the payload for the model.
  const payload = {
    anthropic_version: "bedrock-2023-05-31",
    max_tokens: 1000,
    messages: [
      {
        role: "user",
        content: [{ type: "text", text: prompt }],
      },
    ],
  };

  // Invoke Claude with the payload and wait for the response.
  const command = new InvokeModelCommand({
    contentType: "application/json",
    body: JSON.stringify(payload),
    modelId,
  });
  const apiResponse = await client.send(command);

  // Decode and return the response(s)
  const decodedResponseBody = new TextDecoder().decode(apiResponse.body);
  /** @type {MessagesResponseBody} */
  const responseBody = JSON.parse(decodedResponseBody);
  return responseBody.content[0].text;
};

/**
 * Invokes Anthropic Claude 3 and processes the response stream.
 *
 * To learn more about the Anthropic Messages API, go to:
 * https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
 *
 * @param {string} prompt - The input text prompt for the model to complete.
 * @param {string} [modelId] - The ID of the model to use. Defaults to "anthropic.claude-3-haiku-20240307-v1:0".
 */
export const invokeModelWithResponseStream = async (
  prompt,
  modelId = "anthropic.claude-3-haiku-20240307-v1:0",
) => {
  // Create a new Bedrock Runtime client instance.
  const client = new BedrockRuntimeClient({ region: "us-east-1" });

  // Prepare the payload for the model.
  const payload = {
    anthropic_version: "bedrock-2023-05-31",
    max_tokens: 1000,
    messages: [
      {
        role: "user",
        content: [{ type: "text", text: prompt }],
      },
    ],
  };

  // Invoke Claude with the payload and wait for the API to respond.
  const command = new InvokeModelWithResponseStreamCommand({
    contentType: "application/json",
    body: JSON.stringify(payload),
    modelId,
  });
  const apiResponse = await client.send(command);

  let completeMessage = "";

  // Decode and process the response stream
  for await (const item of apiResponse.body) {
    /** @type Chunk */
    const chunk = JSON.parse(new TextDecoder().decode(item.chunk.bytes));
    const chunk_type = chunk.type;

    if (chunk_type === "content_block_delta") {
      const text = chunk.delta.text;
      completeMessage = completeMessage + text;
      process.stdout.write(text);
    }
  }

  // Return the final response
  return completeMessage;
};

// Invoke the function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const prompt = 'Write a paragraph starting with: "Once upon a time..."';
  const modelId = FoundationModels.CLAUDE_3_HAIKU.modelId;
  console.log(`Prompt: ${prompt}`);
  console.log(`Model ID: ${modelId}`);

  try {
    console.log("-".repeat(53));
    const response = await invokeModel(prompt, modelId);
    console.log(`\n${"-".repeat(53)}`);
    console.log("Final structured response:");
    console.log(response);
  } catch (err) {
    console.log(`\n${err}`);
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelCommand)。

### InvokeModelWithResponseStream
<a name="bedrock-runtime_InvokeModelWithResponseStream_AnthropicClaude_javascript_3_topic"></a>

下列程式碼範例示範如何使用調用模型 API 將文字訊息傳送至 Anthropic Claude 模型，並列印回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用調用模型 API 傳送文字訊息，並即時處理回應串流。  

```
import { fileURLToPath } from "node:url";

import { FoundationModels } from "../../config/foundation_models.js";
import {
  BedrockRuntimeClient,
  InvokeModelCommand,
  InvokeModelWithResponseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

/**
 * @typedef {Object} ResponseContent
 * @property {string} text
 *
 * @typedef {Object} MessagesResponseBody
 * @property {ResponseContent[]} content
 *
 * @typedef {Object} Delta
 * @property {string} text
 *
 * @typedef {Object} Message
 * @property {string} role
 *
 * @typedef {Object} Chunk
 * @property {string} type
 * @property {Delta} delta
 * @property {Message} message
 */

/**
 * Invokes Anthropic Claude 3 using the Messages API.
 *
 * To learn more about the Anthropic Messages API, go to:
 * https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
 *
 * @param {string} prompt - The input text prompt for the model to complete.
 * @param {string} [modelId] - The ID of the model to use. Defaults to "anthropic.claude-3-haiku-20240307-v1:0".
 */
export const invokeModel = async (
  prompt,
  modelId = "anthropic.claude-3-haiku-20240307-v1:0",
) => {
  // Create a new Bedrock Runtime client instance.
  const client = new BedrockRuntimeClient({ region: "us-east-1" });

  // Prepare the payload for the model.
  const payload = {
    anthropic_version: "bedrock-2023-05-31",
    max_tokens: 1000,
    messages: [
      {
        role: "user",
        content: [{ type: "text", text: prompt }],
      },
    ],
  };

  // Invoke Claude with the payload and wait for the response.
  const command = new InvokeModelCommand({
    contentType: "application/json",
    body: JSON.stringify(payload),
    modelId,
  });
  const apiResponse = await client.send(command);

  // Decode and return the response(s)
  const decodedResponseBody = new TextDecoder().decode(apiResponse.body);
  /** @type {MessagesResponseBody} */
  const responseBody = JSON.parse(decodedResponseBody);
  return responseBody.content[0].text;
};

/**
 * Invokes Anthropic Claude 3 and processes the response stream.
 *
 * To learn more about the Anthropic Messages API, go to:
 * https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
 *
 * @param {string} prompt - The input text prompt for the model to complete.
 * @param {string} [modelId] - The ID of the model to use. Defaults to "anthropic.claude-3-haiku-20240307-v1:0".
 */
export const invokeModelWithResponseStream = async (
  prompt,
  modelId = "anthropic.claude-3-haiku-20240307-v1:0",
) => {
  // Create a new Bedrock Runtime client instance.
  const client = new BedrockRuntimeClient({ region: "us-east-1" });

  // Prepare the payload for the model.
  const payload = {
    anthropic_version: "bedrock-2023-05-31",
    max_tokens: 1000,
    messages: [
      {
        role: "user",
        content: [{ type: "text", text: prompt }],
      },
    ],
  };

  // Invoke Claude with the payload and wait for the API to respond.
  const command = new InvokeModelWithResponseStreamCommand({
    contentType: "application/json",
    body: JSON.stringify(payload),
    modelId,
  });
  const apiResponse = await client.send(command);

  let completeMessage = "";

  // Decode and process the response stream
  for await (const item of apiResponse.body) {
    /** @type Chunk */
    const chunk = JSON.parse(new TextDecoder().decode(item.chunk.bytes));
    const chunk_type = chunk.type;

    if (chunk_type === "content_block_delta") {
      const text = chunk.delta.text;
      completeMessage = completeMessage + text;
      process.stdout.write(text);
    }
  }

  // Return the final response
  return completeMessage;
};

// Invoke the function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const prompt = 'Write a paragraph starting with: "Once upon a time..."';
  const modelId = FoundationModels.CLAUDE_3_HAIKU.modelId;
  console.log(`Prompt: ${prompt}`);
  console.log(`Model ID: ${modelId}`);

  try {
    console.log("-".repeat(53));
    const response = await invokeModel(prompt, modelId);
    console.log(`\n${"-".repeat(53)}`);
    console.log("Final structured response:");
    console.log(response);
  } catch (err) {
    console.log(`\n${err}`);
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModelWithResponseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelWithResponseStreamCommand)。

## Cohere Command
<a name="cohere_command"></a>

### Converse
<a name="bedrock-runtime_Converse_CohereCommand_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Cohere Command。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API，將文字訊息傳送至 Cohere Command。  

```
// Use the Conversation API to send a text message to Cohere Command.

import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Command R.
const modelId = "cohere.command-r-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the response text.
  const responseText = response.output.message.content[0].text;
  console.log(responseText);
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

### ConverseStream
<a name="bedrock-runtime_ConverseStream_CohereCommand_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API 將文字訊息傳送至 Cohere Command，並即時處理回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API 將文字訊息傳送至 Cohere Command，並即時處理回應串流。  

```
// Use the Conversation API to send a text message to Cohere Command.

import {
  BedrockRuntimeClient,
  ConverseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Command R.
const modelId = "cohere.command-r-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseStreamCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the streamed response text in real-time.
  for await (const item of response.stream) {
    if (item.contentBlockDelta) {
      process.stdout.write(item.contentBlockDelta.delta?.text);
    }
  }
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ConverseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseStreamCommand)。

## Meta Llama
<a name="meta_llama"></a>

### Converse
<a name="bedrock-runtime_Converse_MetaLlama_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Meta Llama。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API，將文字訊息傳送至 Meta Llama。  

```
// Use the Conversation API to send a text message to Meta Llama.

import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Llama 3 8b Instruct.
const modelId = "meta.llama3-8b-instruct-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the response text.
  const responseText = response.output.message.content[0].text;
  console.log(responseText);
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

### ConverseStream
<a name="bedrock-runtime_ConverseStream_MetaLlama_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API 將文字訊息傳送至 Meta Llama，並即時處理回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API 將文字訊息傳送至 Meta Llama，並即時處理回應串流。  

```
// Use the Conversation API to send a text message to Meta Llama.

import {
  BedrockRuntimeClient,
  ConverseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Llama 3 8b Instruct.
const modelId = "meta.llama3-8b-instruct-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseStreamCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the streamed response text in real-time.
  for await (const item of response.stream) {
    if (item.contentBlockDelta) {
      process.stdout.write(item.contentBlockDelta.delta?.text);
    }
  }
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ConverseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseStreamCommand)。

### InvokeModel
<a name="bedrock-runtime_InvokeModel_MetaLlama3_javascript_3_topic"></a>

下列程式碼範例示範如何使用調用模型 API，將文字訊息傳送至 Meta Llama。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用調用模型 API 傳送文字訊息。  

```
// Send a prompt to Meta Llama 3 and print the response.

import {
  BedrockRuntimeClient,
  InvokeModelCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region of your choice.
const client = new BedrockRuntimeClient({ region: "us-west-2" });

// Set the model ID, e.g., Llama 3 70B Instruct.
const modelId = "meta.llama3-70b-instruct-v1:0";

// Define the user message to send.
const userMessage =
  "Describe the purpose of a 'hello world' program in one sentence.";

// Embed the message in Llama 3's prompt format.
const prompt = `
<|begin_of_text|><|start_header_id|>user<|end_header_id|>
${userMessage}
<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>
`;

// Format the request payload using the model's native structure.
const request = {
  prompt,
  // Optional inference parameters:
  max_gen_len: 512,
  temperature: 0.5,
  top_p: 0.9,
};

// Encode and send the request.
const response = await client.send(
  new InvokeModelCommand({
    contentType: "application/json",
    body: JSON.stringify(request),
    modelId,
  }),
);

// Decode the native response body.
/** @type {{ generation: string }} */
const nativeResponse = JSON.parse(new TextDecoder().decode(response.body));

// Extract and print the generated text.
const responseText = nativeResponse.generation;
console.log(responseText);

// Learn more about the Llama 3 prompt format at:
// https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/#special-tokens-used-with-meta-llama-3
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelCommand)。

### InvokeModelWithResponseStream
<a name="bedrock-runtime_InvokeModelWithResponseStream_MetaLlama3_javascript_3_topic"></a>

下列程式碼範例示範如何使用調用模型 API 將文字訊息傳送至 Meta Llama，並列印回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用調用模型 API 傳送文字訊息，並即時處理回應串流。  

```
// Send a prompt to Meta Llama 3 and print the response stream in real-time.

import {
  BedrockRuntimeClient,
  InvokeModelWithResponseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region of your choice.
const client = new BedrockRuntimeClient({ region: "us-west-2" });

// Set the model ID, e.g., Llama 3 70B Instruct.
const modelId = "meta.llama3-70b-instruct-v1:0";

// Define the user message to send.
const userMessage =
  "Describe the purpose of a 'hello world' program in one sentence.";

// Embed the message in Llama 3's prompt format.
const prompt = `
<|begin_of_text|><|start_header_id|>user<|end_header_id|>
${userMessage}
<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>
`;

// Format the request payload using the model's native structure.
const request = {
  prompt,
  // Optional inference parameters:
  max_gen_len: 512,
  temperature: 0.5,
  top_p: 0.9,
};

// Encode and send the request.
const responseStream = await client.send(
  new InvokeModelWithResponseStreamCommand({
    contentType: "application/json",
    body: JSON.stringify(request),
    modelId,
  }),
);

// Extract and print the response stream in real-time.
for await (const event of responseStream.body) {
  /** @type {{ generation: string }} */
  const chunk = JSON.parse(new TextDecoder().decode(event.chunk.bytes));
  if (chunk.generation) {
    process.stdout.write(chunk.generation);
  }
}

// Learn more about the Llama 3 prompt format at:
// https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/#special-tokens-used-with-meta-llama-3
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModelWithResponseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelWithResponseStreamCommand)。

## Mistral AI
<a name="mistral_ai"></a>

### Converse
<a name="bedrock-runtime_Converse_Mistral_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Mistral。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API，將文字訊息傳送至 Mistral。  

```
// Use the Conversation API to send a text message to Mistral.

import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Mistral Large.
const modelId = "mistral.mistral-large-2402-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the response text.
  const responseText = response.output.message.content[0].text;
  console.log(responseText);
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Converse](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseCommand)。

### ConverseStream
<a name="bedrock-runtime_ConverseStream_Mistral_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Bedrock 的 Converse API，將文字訊息傳送至 Mistral，並即時處理回應串流。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用 Bedrock 的 Converse API 將文字訊息傳送至 Mistral，並即時處理回應串流。  

```
// Use the Conversation API to send a text message to Mistral.

import {
  BedrockRuntimeClient,
  ConverseStreamCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Mistral Large.
const modelId = "mistral.mistral-large-2402-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseStreamCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the streamed response text in real-time.
  for await (const item of response.stream) {
    if (item.contentBlockDelta) {
      process.stdout.write(item.contentBlockDelta.delta?.text);
    }
  }
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ConverseStream](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/ConverseStreamCommand)。

### InvokeModel
<a name="bedrock-runtime_InvokeModel_MistralAi_javascript_3_topic"></a>

下列程式碼範例示範如何使用調用模型 API，將文字訊息傳送至 Mistral 模型。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-runtime#code-examples)中設定和執行。
使用調用模型 API 傳送文字訊息。  

```
import { fileURLToPath } from "node:url";

import { FoundationModels } from "../../config/foundation_models.js";
import {
  BedrockRuntimeClient,
  InvokeModelCommand,
} from "@aws-sdk/client-bedrock-runtime";

/**
 * @typedef {Object} Output
 * @property {string} text
 *
 * @typedef {Object} ResponseBody
 * @property {Output[]} outputs
 */

/**
 * Invokes a Mistral 7B Instruct model.
 *
 * @param {string} prompt - The input text prompt for the model to complete.
 * @param {string} [modelId] - The ID of the model to use. Defaults to "mistral.mistral-7b-instruct-v0:2".
 */
export const invokeModel = async (
  prompt,
  modelId = "mistral.mistral-7b-instruct-v0:2",
) => {
  // Create a new Bedrock Runtime client instance.
  const client = new BedrockRuntimeClient({ region: "us-east-1" });

  // Mistral instruct models provide optimal results when embedding
  // the prompt into the following template:
  const instruction = `<s>[INST] ${prompt} [/INST]`;

  // Prepare the payload.
  const payload = {
    prompt: instruction,
    max_tokens: 500,
    temperature: 0.5,
  };

  // Invoke the model with the payload and wait for the response.
  const command = new InvokeModelCommand({
    contentType: "application/json",
    body: JSON.stringify(payload),
    modelId,
  });
  const apiResponse = await client.send(command);

  // Decode and return the response.
  const decodedResponseBody = new TextDecoder().decode(apiResponse.body);
  /** @type {ResponseBody} */
  const responseBody = JSON.parse(decodedResponseBody);
  return responseBody.outputs[0].text;
};

// Invoke the function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const prompt =
    'Complete the following in one sentence: "Once upon a time..."';
  const modelId = FoundationModels.MISTRAL_7B.modelId;
  console.log(`Prompt: ${prompt}`);
  console.log(`Model ID: ${modelId}`);

  try {
    console.log("-".repeat(53));
    const response = await invokeModel(prompt, modelId);
    console.log(response);
  } catch (err) {
    console.log(err);
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-runtime/command/InvokeModelCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Bedrock 代理程式範例
<a name="javascript_3_bedrock-agent_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Bedrock 代理程式來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### Hello Amazon Bedrock 代理程式
<a name="bedrock-agent_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Amazon Bedrock 代理程式。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";

import {
  BedrockAgentClient,
  GetAgentCommand,
  paginateListAgents,
} from "@aws-sdk/client-bedrock-agent";

/**
 * @typedef {Object} AgentSummary
 */

/**
 * A simple scenario to demonstrate basic setup and interaction with the Bedrock Agents Client.
 *
 * This function first initializes the Amazon Bedrock Agents client for a specific region.
 * It then retrieves a list of existing agents using the streamlined paginator approach.
 * For each agent found, it retrieves detailed information using a command object.
 *
 * Demonstrates:
 * - Use of the Bedrock Agents client to initialize and communicate with the AWS service.
 * - Listing resources in a paginated response pattern.
 * - Accessing an individual resource using a command object.
 *
 * @returns {Promise<void>} A promise that resolves when the function has completed execution.
 */
export const main = async () => {
  const region = "us-east-1";

  console.log("=".repeat(68));

  console.log(`Initializing Amazon Bedrock Agents client for ${region}...`);
  const client = new BedrockAgentClient({ region });

  console.log("Retrieving the list of existing agents...");
  const paginatorConfig = { client };
  const pages = paginateListAgents(paginatorConfig, {});

  /** @type {AgentSummary[]} */
  const agentSummaries = [];
  for await (const page of pages) {
    agentSummaries.push(...page.agentSummaries);
  }

  console.log(`Found ${agentSummaries.length} agents in ${region}.`);

  if (agentSummaries.length > 0) {
    for (const agentSummary of agentSummaries) {
      const agentId = agentSummary.agentId;
      console.log("=".repeat(68));
      console.log(`Retrieving agent with ID: ${agentId}:`);
      console.log("-".repeat(68));

      const command = new GetAgentCommand({ agentId });
      const response = await client.send(command);
      const agent = response.agent;

      console.log(` Name: ${agent.agentName}`);
      console.log(` Status: ${agent.agentStatus}`);
      console.log(` ARN: ${agent.agentArn}`);
      console.log(` Foundation model: ${agent.foundationModel}`);
    }
  }
  console.log("=".repeat(68));
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  await main();
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [GetAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/GetAgentCommand)
  + [ListAgents](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/ListAgentsCommand)

## 動作
<a name="actions"></a>

### `CreateAgent`
<a name="bedrock-agent_CreateAgent_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateAgent`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent#code-examples)中設定和執行。
建立 代理程式。  

```
import { fileURLToPath } from "node:url";
import { checkForPlaceholders } from "../lib/utils.js";

import {
  BedrockAgentClient,
  CreateAgentCommand,
} from "@aws-sdk/client-bedrock-agent";

/**
 * Creates an Amazon Bedrock Agent.
 *
 * @param {string} agentName - A name for the agent that you create.
 * @param {string} foundationModel - The foundation model to be used by the agent you create.
 * @param {string} agentResourceRoleArn - The ARN of the IAM role with permissions required by the agent.
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<import("@aws-sdk/client-bedrock-agent").Agent>} An object containing details of the created agent.
 */
export const createAgent = async (
  agentName,
  foundationModel,
  agentResourceRoleArn,
  region = "us-east-1",
) => {
  const client = new BedrockAgentClient({ region });

  const command = new CreateAgentCommand({
    agentName,
    foundationModel,
    agentResourceRoleArn,
  });
  const response = await client.send(command);

  return response.agent;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  // Replace the placeholders for agentName and accountId, and roleName with a unique name for the new agent,
  // the id of your AWS account, and the name of an existing execution role that the agent can use inside your account.
  // For foundationModel, specify the desired model. Ensure to remove the brackets '[]' before adding your data.

  // A string (max 100 chars) that can include letters, numbers, dashes '-', and underscores '_'.
  const agentName = "[your-bedrock-agent-name]";

  // Your AWS account id.
  const accountId = "[123456789012]";

  // The name of the agent's execution role. It must be prefixed by `AmazonBedrockExecutionRoleForAgents_`.
  const roleName = "[AmazonBedrockExecutionRoleForAgents_your-role-name]";

  // The ARN for the agent's execution role.
  // Follow the ARN format: 'arn:aws:iam::account-id:role/role-name'
  const roleArn = `arn:aws:iam::${accountId}:role/${roleName}`;

  // Specify the model for the agent. Change if a different model is preferred.
  const foundationModel = "anthropic.claude-v2";

  // Check for unresolved placeholders in agentName and roleArn.
  checkForPlaceholders([agentName, roleArn]);

  console.log("Creating a new agent...");

  const agent = await createAgent(agentName, foundationModel, roleArn);
  console.log(agent);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/CreateAgentCommand)。

### `DeleteAgent`
<a name="bedrock-agent_DeleteAgent_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteAgent`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent#code-examples)中設定和執行。
刪除代理程式。  

```
import { fileURLToPath } from "node:url";
import { checkForPlaceholders } from "../lib/utils.js";

import {
  BedrockAgentClient,
  DeleteAgentCommand,
} from "@aws-sdk/client-bedrock-agent";

/**
 * Deletes an Amazon Bedrock Agent.
 *
 * @param {string} agentId - The unique identifier of the agent to delete.
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<import("@aws-sdk/client-bedrock-agent").DeleteAgentCommandOutput>} An object containing the agent id, the status, and some additional metadata.
 */
export const deleteAgent = (agentId, region = "us-east-1") => {
  const client = new BedrockAgentClient({ region });
  const command = new DeleteAgentCommand({ agentId });
  return client.send(command);
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  // Replace the placeholders for agentId with an existing agent's id.
  // Ensure to remove the brackets (`[]`) before adding your data.

  // The agentId must be an alphanumeric string with exactly 10 characters.
  const agentId = "[ABC123DE45]";

  // Check for unresolved placeholders in agentId.
  checkForPlaceholders([agentId]);

  console.log(`Deleting agent with ID ${agentId}...`);

  const response = await deleteAgent(agentId);
  console.log(response);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/DeleteAgentCommand)。

### `GetAgent`
<a name="bedrock-agent_GetAgent_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetAgent`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent#code-examples)中設定和執行。
取得代理程式。  

```
import { fileURLToPath } from "node:url";
import { checkForPlaceholders } from "../lib/utils.js";

import {
  BedrockAgentClient,
  GetAgentCommand,
} from "@aws-sdk/client-bedrock-agent";

/**
 * Retrieves the details of an Amazon Bedrock Agent.
 *
 * @param {string} agentId - The unique identifier of the agent.
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<import("@aws-sdk/client-bedrock-agent").Agent>} An object containing the agent details.
 */
export const getAgent = async (agentId, region = "us-east-1") => {
  const client = new BedrockAgentClient({ region });

  const command = new GetAgentCommand({ agentId });
  const response = await client.send(command);
  return response.agent;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  // Replace the placeholders for agentId with an existing agent's id.
  // Ensure to remove the brackets '[]' before adding your data.

  // The agentId must be an alphanumeric string with exactly 10 characters.
  const agentId = "[ABC123DE45]";

  // Check for unresolved placeholders in agentId.
  checkForPlaceholders([agentId]);

  console.log(`Retrieving agent with ID ${agentId}...`);

  const agent = await getAgent(agentId);
  console.log(agent);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/GetAgentCommand)。

### `ListAgentActionGroups`
<a name="bedrock-agent_ListAgentActionGroups_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListAgentActionGroups`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent#code-examples)中設定和執行。
列出代理程式的動作群組。  

```
import { fileURLToPath } from "node:url";
import { checkForPlaceholders } from "../lib/utils.js";

import {
  BedrockAgentClient,
  ListAgentActionGroupsCommand,
  paginateListAgentActionGroups,
} from "@aws-sdk/client-bedrock-agent";

/**
 * Retrieves a list of Action Groups of an agent utilizing the paginator function.
 *
 * This function leverages a paginator, which abstracts the complexity of pagination, providing
 * a straightforward way to handle paginated results inside a `for await...of` loop.
 *
 * @param {string} agentId - The unique identifier of the agent.
 * @param {string} agentVersion - The version of the agent.
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<ActionGroupSummary[]>} An array of action group summaries.
 */
export const listAgentActionGroupsWithPaginator = async (
  agentId,
  agentVersion,
  region = "us-east-1",
) => {
  const client = new BedrockAgentClient({ region });

  // Create a paginator configuration
  const paginatorConfig = {
    client,
    pageSize: 10, // optional, added for demonstration purposes
  };

  const params = { agentId, agentVersion };

  const pages = paginateListAgentActionGroups(paginatorConfig, params);

  // Paginate until there are no more results
  const actionGroupSummaries = [];
  for await (const page of pages) {
    actionGroupSummaries.push(...page.actionGroupSummaries);
  }

  return actionGroupSummaries;
};

/**
 * Retrieves a list of Action Groups of an agent utilizing the ListAgentActionGroupsCommand.
 *
 * This function demonstrates the manual approach, sending a command to the client and processing the response.
 * Pagination must manually be managed. For a simplified approach that abstracts away pagination logic, see
 * the `listAgentActionGroupsWithPaginator()` example below.
 *
 * @param {string} agentId - The unique identifier of the agent.
 * @param {string} agentVersion - The version of the agent.
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<ActionGroupSummary[]>} An array of action group summaries.
 */
export const listAgentActionGroupsWithCommandObject = async (
  agentId,
  agentVersion,
  region = "us-east-1",
) => {
  const client = new BedrockAgentClient({ region });

  let nextToken;
  const actionGroupSummaries = [];
  do {
    const command = new ListAgentActionGroupsCommand({
      agentId,
      agentVersion,
      nextToken,
      maxResults: 10, // optional, added for demonstration purposes
    });

    /** @type {{actionGroupSummaries: ActionGroupSummary[], nextToken?: string}} */
    const response = await client.send(command);

    for (const actionGroup of response.actionGroupSummaries || []) {
      actionGroupSummaries.push(actionGroup);
    }

    nextToken = response.nextToken;
  } while (nextToken);

  return actionGroupSummaries;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  // Replace the placeholders for agentId and agentVersion with an existing agent's id and version.
  // Ensure to remove the brackets '[]' before adding your data.

  // The agentId must be an alphanumeric string with exactly 10 characters.
  const agentId = "[ABC123DE45]";

  // A string either containing `DRAFT` or a number with 1-5 digits (e.g., '123' or 'DRAFT').
  const agentVersion = "[DRAFT]";

  // Check for unresolved placeholders in agentId and agentVersion.
  checkForPlaceholders([agentId, agentVersion]);

  console.log("=".repeat(68));
  console.log(
    "Listing agent action groups using ListAgentActionGroupsCommand:",
  );

  for (const actionGroup of await listAgentActionGroupsWithCommandObject(
    agentId,
    agentVersion,
  )) {
    console.log(actionGroup);
  }

  console.log("=".repeat(68));
  console.log(
    "Listing agent action groups using the paginateListAgents function:",
  );
  for (const actionGroup of await listAgentActionGroupsWithPaginator(
    agentId,
    agentVersion,
  )) {
    console.log(actionGroup);
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListAgentActionGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/ListAgentActionGroupsCommand)。

### `ListAgents`
<a name="bedrock-agent_ListAgents_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListAgents`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent#code-examples)中設定和執行。
列出屬於帳戶的代理程式。  

```
import { fileURLToPath } from "node:url";

import {
  BedrockAgentClient,
  ListAgentsCommand,
  paginateListAgents,
} from "@aws-sdk/client-bedrock-agent";

/**
 * Retrieves a list of available Amazon Bedrock agents utilizing the paginator function.
 *
 * This function leverages a paginator, which abstracts the complexity of pagination, providing
 * a straightforward way to handle paginated results inside a `for await...of` loop.
 *
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<AgentSummary[]>} An array of agent summaries.
 */
export const listAgentsWithPaginator = async (region = "us-east-1") => {
  const client = new BedrockAgentClient({ region });

  const paginatorConfig = {
    client,
    pageSize: 10, // optional, added for demonstration purposes
  };

  const pages = paginateListAgents(paginatorConfig, {});

  // Paginate until there are no more results
  const agentSummaries = [];
  for await (const page of pages) {
    agentSummaries.push(...page.agentSummaries);
  }

  return agentSummaries;
};

/**
 * Retrieves a list of available Amazon Bedrock agents utilizing the ListAgentsCommand.
 *
 * This function demonstrates the manual approach, sending a command to the client and processing the response.
 * Pagination must manually be managed. For a simplified approach that abstracts away pagination logic, see
 * the `listAgentsWithPaginator()` example below.
 *
 * @param {string} [region='us-east-1'] - The AWS region in use.
 * @returns {Promise<AgentSummary[]>} An array of agent summaries.
 */
export const listAgentsWithCommandObject = async (region = "us-east-1") => {
  const client = new BedrockAgentClient({ region });

  let nextToken;
  const agentSummaries = [];
  do {
    const command = new ListAgentsCommand({
      nextToken,
      maxResults: 10, // optional, added for demonstration purposes
    });

    /** @type {{agentSummaries: AgentSummary[], nextToken?: string}} */
    const paginatedResponse = await client.send(command);

    agentSummaries.push(...(paginatedResponse.agentSummaries || []));

    nextToken = paginatedResponse.nextToken;
  } while (nextToken);

  return agentSummaries;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  console.log("=".repeat(68));
  console.log("Listing agents using ListAgentsCommand:");
  for (const agent of await listAgentsWithCommandObject()) {
    console.log(agent);
  }

  console.log("=".repeat(68));
  console.log("Listing agents using the paginateListAgents function:");
  for (const agent of await listAgentsWithPaginator()) {
    console.log(agent);
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListAgents](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent/command/ListAgentsCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Bedrock 代理程式執行時期範例
<a name="javascript_3_bedrock-agent-runtime_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Bedrock Agents 執行期來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `InvokeAgent`
<a name="bedrock-agent-runtime_InvokeAgent_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `InvokeAgent`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent-runtime#code-examples)中設定和執行。

```
import {
  BedrockAgentRuntimeClient,
  InvokeAgentCommand,
} from "@aws-sdk/client-bedrock-agent-runtime";

/**
 * @typedef {Object} ResponseBody
 * @property {string} completion
 */

/**
 * Invokes a Bedrock agent to run an inference using the input
 * provided in the request body.
 *
 * @param {string} prompt - The prompt that you want the Agent to complete.
 * @param {string} sessionId - An arbitrary identifier for the session.
 */
export const invokeBedrockAgent = async (prompt, sessionId) => {
  const client = new BedrockAgentRuntimeClient({ region: "us-east-1" });
  // const client = new BedrockAgentRuntimeClient({
  //   region: "us-east-1",
  //   credentials: {
  //     accessKeyId: "accessKeyId", // permission to invoke agent
  //     secretAccessKey: "accessKeySecret",
  //   },
  // });

  const agentId = "AJBHXXILZN";
  const agentAliasId = "AVKP1ITZAA";

  const command = new InvokeAgentCommand({
    agentId,
    agentAliasId,
    sessionId,
    inputText: prompt,
  });

  try {
    let completion = "";
    const response = await client.send(command);

    if (response.completion === undefined) {
      throw new Error("Completion is undefined");
    }

    for await (const chunkEvent of response.completion) {
      const chunk = chunkEvent.chunk;
      console.log(chunk);
      const decodedResponse = new TextDecoder("utf-8").decode(chunk.bytes);
      completion += decodedResponse;
    }

    return { sessionId: sessionId, completion };
  } catch (err) {
    console.error(err);
  }
};

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const result = await invokeBedrockAgent("I need help.", "123");
  console.log(result);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeAgent](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent-runtime/command/InvokeAgentCommand)。

### `InvokeFlow`
<a name="bedrock-agent-runtime_InvokeFlow_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `InvokeFlow`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/bedrock-agent-runtime#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";

import {
  BedrockAgentRuntimeClient,
  InvokeFlowCommand,
} from "@aws-sdk/client-bedrock-agent-runtime";

/**
 * Invokes an alias of a flow to run the inputs that you specify and return
 * the output of each node as a stream.
 *
 * @param {{
 *  flowIdentifier: string,
 *  flowAliasIdentifier: string,
 *  prompt?: string,
 *  region?: string
 * }} options
 * @returns {Promise<import("@aws-sdk/client-bedrock-agent").FlowNodeOutput>} An object containing information about the output from flow invocation.
 */
export const invokeBedrockFlow = async ({
  flowIdentifier,
  flowAliasIdentifier,
  prompt = "Hi, how are you?",
  region = "us-east-1",
}) => {
  const client = new BedrockAgentRuntimeClient({ region });

  const command = new InvokeFlowCommand({
    flowIdentifier,
    flowAliasIdentifier,
    inputs: [
      {
        content: {
          document: prompt,
        },
        nodeName: "FlowInputNode",
        nodeOutputName: "document",
      },
    ],
  });

  let flowResponse = {};
  const response = await client.send(command);

  for await (const chunkEvent of response.responseStream) {
    const { flowOutputEvent, flowCompletionEvent } = chunkEvent;

    if (flowOutputEvent) {
      flowResponse = { ...flowResponse, ...flowOutputEvent };
      console.log("Flow output event:", flowOutputEvent);
    } else if (flowCompletionEvent) {
      flowResponse = { ...flowResponse, ...flowCompletionEvent };
      console.log("Flow completion event:", flowCompletionEvent);
    }
  }

  return flowResponse;
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    flowIdentifier: {
      type: "string",
      required: true,
    },
    flowAliasIdentifier: {
      type: "string",
      required: true,
    },
    prompt: {
      type: "string",
    },
    region: {
      type: "string",
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    invokeBedrockFlow(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InvokeFlow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock-agent-runtime/command/InvokeFlowCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 CloudWatch 範例
<a name="javascript_3_cloudwatch_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 CloudWatch 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `DeleteAlarms`
<a name="cloudwatch_DeleteAlarms_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteAlarms`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { DeleteAlarmsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DeleteAlarmsCommand({
    AlarmNames: [process.env.CLOUDWATCH_ALARM_NAME], // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-deleting)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [DeleteAlarms](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/DeleteAlarmsCommand)。

### `DescribeAlarmsForMetric`
<a name="cloudwatch_DescribeAlarmsForMetric_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeAlarmsForMetric`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { DescribeAlarmsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DescribeAlarmsCommand({
    AlarmNames: [process.env.CLOUDWATCH_ALARM_NAME], // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-describing)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [DescribeAlarmsForMetric](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/DescribeAlarmsForMetricCommand)。

### `DisableAlarmActions`
<a name="cloudwatch_DisableAlarmActions_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DisableAlarmActions`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { DisableAlarmActionsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DisableAlarmActionsCommand({
    AlarmNames: process.env.CLOUDWATCH_ALARM_NAME, // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-using-alarm-actions.html#cloudwatch-examples-using-alarm-actions-disabling)》。
+  如需詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [DisableAlarmActions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/DisableAlarmActionsCommand)。

### `EnableAlarmActions`
<a name="cloudwatch_EnableAlarmActions_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `EnableAlarmActions`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { EnableAlarmActionsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new EnableAlarmActionsCommand({
    AlarmNames: [process.env.CLOUDWATCH_ALARM_NAME], // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-using-alarm-actions.html#cloudwatch-examples-using-alarm-actions-enabling)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [EnableAlarmActions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/EnableAlarmActionsCommand)。

### `ListMetrics`
<a name="cloudwatch_ListMetrics_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListMetrics`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import {
  CloudWatchServiceException,
  ListMetricsCommand,
} from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

export const main = async () => {
  // Use the AWS console to see available namespaces and metric names. Custom metrics can also be created.
  // https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/viewing_metrics_with_cloudwatch.html
  const command = new ListMetricsCommand({
    Dimensions: [
      {
        Name: "LogGroupName",
      },
    ],
    MetricName: "IncomingLogEvents",
    Namespace: "AWS/Logs",
  });

  try {
    const response = await client.send(command);
    console.log(`Metrics count: ${response.Metrics?.length}`);
    return response;
  } catch (caught) {
    if (caught instanceof CloudWatchServiceException) {
      console.error(`Error from CloudWatch. ${caught.name}: ${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-getting-metrics.html#cloudwatch-examples-getting-metrics-listing)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListMetrics](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/ListMetricsCommand)。

### `PutMetricAlarm`
<a name="cloudwatch_PutMetricAlarm_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutMetricAlarm`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { PutMetricAlarmCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  // This alarm triggers when CPUUtilization exceeds 70% for one minute.
  const command = new PutMetricAlarmCommand({
    AlarmName: process.env.CLOUDWATCH_ALARM_NAME, // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
    ComparisonOperator: "GreaterThanThreshold",
    EvaluationPeriods: 1,
    MetricName: "CPUUtilization",
    Namespace: "AWS/EC2",
    Period: 60,
    Statistic: "Average",
    Threshold: 70.0,
    ActionsEnabled: false,
    AlarmDescription: "Alarm when server CPU exceeds 70%",
    Dimensions: [
      {
        Name: "InstanceId",
        Value: process.env.EC2_INSTANCE_ID, // Set the value of EC_INSTANCE_ID to the Id of an existing Amazon EC2 instance.
      },
    ],
    Unit: "Percent",
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-putmetricalarm)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [PutMetricAlarm](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/PutMetricAlarmCommand)。

### `PutMetricData`
<a name="cloudwatch_PutMetricData_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutMetricData`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { PutMetricDataCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  // See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_PutMetricData.html#API_PutMetricData_RequestParameters
  // and https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html
  // for more information about the parameters in this command.
  const command = new PutMetricDataCommand({
    MetricData: [
      {
        MetricName: "PAGES_VISITED",
        Dimensions: [
          {
            Name: "UNIQUE_PAGES",
            Value: "URLS",
          },
        ],
        Unit: "None",
        Value: 1.0,
      },
    ],
    Namespace: "SITE/TRAFFIC",
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-getting-metrics.html#cloudwatch-examples-getting-metrics-publishing-custom)》。
+  如需 API 詳細資訊，請參閱 [適用於 JavaScript 的 AWS SDK API 參考](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/PutMetricDataCommand)中的 *PutMetricData*。

# 使用適用於 JavaScript 的 SDK (v3) 的 CloudWatch Events 範例
<a name="javascript_3_cloudwatch-events_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 CloudWatch Events 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `PutEvents`
<a name="cloudwatch-events_PutEvents_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutEvents`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-events#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { PutEventsCommand } from "@aws-sdk/client-cloudwatch-events";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new PutEventsCommand({
    // The list of events to send to Amazon CloudWatch Events.
    Entries: [
      {
        // The name of the application or service that is sending the event.
        Source: "my.app",

        // The name of the event that is being sent.
        DetailType: "My Custom Event",

        // The data that is sent with the event.
        Detail: JSON.stringify({ timeOfEvent: new Date().toISOString() }),
      },
    ],
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchEventsClient } from "@aws-sdk/client-cloudwatch-events";

export const client = new CloudWatchEventsClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-sending-events.html#cloudwatch-examples-sending-events-putevents)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutEvents](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-events/command/PutEventsCommand)。

### `PutRule`
<a name="cloudwatch-events_PutRule_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutRule`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-events#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { PutRuleCommand } from "@aws-sdk/client-cloudwatch-events";
import { client } from "../libs/client.js";

const run = async () => {
  // Request parameters for PutRule.
  // https://docs.aws.amazon.com/eventbridge/latest/APIReference/API_PutRule.html#API_PutRule_RequestParameters
  const command = new PutRuleCommand({
    Name: process.env.CLOUDWATCH_EVENTS_RULE,

    // The event pattern for the rule.
    //  Example: {"source": ["my.app"]}
    EventPattern: process.env.CLOUDWATCH_EVENTS_RULE_PATTERN,

    // The state of the rule. Valid values: ENABLED, DISABLED
    State: "ENABLED",
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchEventsClient } from "@aws-sdk/client-cloudwatch-events";

export const client = new CloudWatchEventsClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-sending-events.html#cloudwatch-examples-sending-events-rules)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutRule](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-events/command/PutRuleCommand)。

### `PutTargets`
<a name="cloudwatch-events_PutTargets_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutTargets`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-events#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { PutTargetsCommand } from "@aws-sdk/client-cloudwatch-events";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new PutTargetsCommand({
    // The name of the Amazon CloudWatch Events rule.
    Rule: process.env.CLOUDWATCH_EVENTS_RULE,

    // The targets to add to the rule.
    Targets: [
      {
        Arn: process.env.CLOUDWATCH_EVENTS_TARGET_ARN,
        // The ID of the target. Choose a unique ID for each target.
        Id: process.env.CLOUDWATCH_EVENTS_TARGET_ID,
      },
    ],
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
在單獨的模組中建立用戶端並將其匯出。  

```
import { CloudWatchEventsClient } from "@aws-sdk/client-cloudwatch-events";

export const client = new CloudWatchEventsClient({});
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-sending-events.html#cloudwatch-examples-sending-events-targets)》。
+  如需 API 的詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [PutTargets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-events/command/PutTargetsCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 CloudWatch Logs 範例
<a name="javascript_3_cloudwatch-logs_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 CloudWatch Logs 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)
+ [案例](#scenarios)

## 動作
<a name="actions"></a>

### `CreateLogGroup`
<a name="cloudwatch-logs_CreateLogGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateLogGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
import { CreateLogGroupCommand } from "@aws-sdk/client-cloudwatch-logs";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new CreateLogGroupCommand({
    // The name of the log group.
    logGroupName: process.env.CLOUDWATCH_LOGS_LOG_GROUP,
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [CreateLogGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/CreateLogGroupCommand)。

### `DeleteLogGroup`
<a name="cloudwatch-logs_DeleteLogGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteLogGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
import { DeleteLogGroupCommand } from "@aws-sdk/client-cloudwatch-logs";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DeleteLogGroupCommand({
    // The name of the log group.
    logGroupName: process.env.CLOUDWATCH_LOGS_LOG_GROUP,
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteLogGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/DeleteLogGroupCommand)。

### `DeleteSubscriptionFilter`
<a name="cloudwatch-logs_DeleteSubscriptionFilter_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteSubscriptionFilter`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
import { DeleteSubscriptionFilterCommand } from "@aws-sdk/client-cloudwatch-logs";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DeleteSubscriptionFilterCommand({
    // The name of the filter.
    filterName: process.env.CLOUDWATCH_LOGS_FILTER_NAME,
    // The name of the log group.
    logGroupName: process.env.CLOUDWATCH_LOGS_LOG_GROUP,
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteSubscriptionFilter](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/DeleteSubscriptionFilterCommand)。

### `DescribeLogGroups`
<a name="cloudwatch-logs_DescribeLogGroups_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeLogGroups`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
import {
  paginateDescribeLogGroups,
  CloudWatchLogsClient,
} from "@aws-sdk/client-cloudwatch-logs";

const client = new CloudWatchLogsClient({});

export const main = async () => {
  const paginatedLogGroups = paginateDescribeLogGroups({ client }, {});
  const logGroups = [];

  for await (const page of paginatedLogGroups) {
    if (page.logGroups?.every((lg) => !!lg)) {
      logGroups.push(...page.logGroups);
    }
  }

  console.log(logGroups);
  return logGroups;
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeLogGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/DescribeLogGroupsCommand)。

### `DescribeSubscriptionFilters`
<a name="cloudwatch-logs_DescribeSubscriptionFilters_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeSubscriptionFilters`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
import { DescribeSubscriptionFiltersCommand } from "@aws-sdk/client-cloudwatch-logs";
import { client } from "../libs/client.js";

const run = async () => {
  // This will return a list of all subscription filters in your account
  // matching the log group name.
  const command = new DescribeSubscriptionFiltersCommand({
    logGroupName: process.env.CLOUDWATCH_LOGS_LOG_GROUP,
    limit: 1,
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeSubscriptionFilters](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/DescribeSubscriptionFiltersCommand)。

### `GetQueryResults`
<a name="cloudwatch-logs_GetQueryResults_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetQueryResults`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
  /**
   * Simple wrapper for the GetQueryResultsCommand.
   * @param {string} queryId
   */
  _getQueryResults(queryId) {
    return this.client.send(new GetQueryResultsCommand({ queryId }));
  }
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetQueryResults](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/GetQueryResultsCommand)。

### `PutSubscriptionFilter`
<a name="cloudwatch-logs_PutSubscriptionFilter_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutSubscriptionFilter`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
import { PutSubscriptionFilterCommand } from "@aws-sdk/client-cloudwatch-logs";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new PutSubscriptionFilterCommand({
    // An ARN of a same-account Kinesis stream, Kinesis Firehose
    // delivery stream, or Lambda function.
    // https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/SubscriptionFilters.html
    destinationArn: process.env.CLOUDWATCH_LOGS_DESTINATION_ARN,

    // A name for the filter.
    filterName: process.env.CLOUDWATCH_LOGS_FILTER_NAME,

    // A filter pattern for subscribing to a filtered stream of log events.
    // https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html
    filterPattern: process.env.CLOUDWATCH_LOGS_FILTER_PATTERN,

    // The name of the log group. Messages in this group matching the filter pattern
    // will be sent to the destination ARN.
    logGroupName: process.env.CLOUDWATCH_LOGS_LOG_GROUP,
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutSubscriptionFilter](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/PutSubscriptionFilterCommand)。

### `StartLiveTail`
<a name="cloudwatch-logs_StartLiveTail_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartLiveTail`。

**適用於 JavaScript (v3) 的 SDK**  
包括必需的檔案。  

```
import { CloudWatchLogsClient, StartLiveTailCommand } from "@aws-sdk/client-cloudwatch-logs";
```
處理 Live Tail 工作階段的事件。  

```
async function handleResponseAsync(response) {
    try {
      for await (const event of response.responseStream) {
        if (event.sessionStart !== undefined) {
          console.log(event.sessionStart);
        } else if (event.sessionUpdate !== undefined) {
          for (const logEvent of event.sessionUpdate.sessionResults) {
            const timestamp = logEvent.timestamp;
            const date = new Date(timestamp);
            console.log("[" + date + "] " + logEvent.message);
          } 
        } else {
            console.error("Unknown event type");
        }
      }
    } catch (err) {  
        // On-stream exceptions are captured here
        console.error(err)
    }
}
```
開始 Live Tail 工作階段。  

```
    const client = new CloudWatchLogsClient();

    const command = new StartLiveTailCommand({
        logGroupIdentifiers: logGroupIdentifiers,
        logStreamNames: logStreamNames,
        logEventFilterPattern: filterPattern
    });
    try{
        const response = await client.send(command);
        handleResponseAsync(response);
    } catch (err){
        // Pre-stream exceptions are captured here
        console.log(err);
    }
```
在經過一段時間後停止 Live Tail 工作階段。  

```
    /* Set a timeout to close the client. This will stop the Live Tail session. */
    setTimeout(function() {
        console.log("Client timeout");
        client.destroy();
      }, 10000);
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [StartLiveTail](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/StartLiveTailCommand)。

### `StartQuery`
<a name="cloudwatch-logs_StartQuery_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartQuery`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs#code-examples)中設定和執行。

```
  /**
   * Wrapper for the StartQueryCommand. Uses a static query string
   * for consistency.
   * @param {[Date, Date]} dateRange
   * @param {number} maxLogs
   * @returns {Promise<{ queryId: string }>}
   */
  async _startQuery([startDate, endDate], maxLogs = 10000) {
    try {
      return await this.client.send(
        new StartQueryCommand({
          logGroupNames: this.logGroupNames,
          queryString: "fields @timestamp, @message | sort @timestamp asc",
          startTime: startDate.valueOf(),
          endTime: endDate.valueOf(),
          limit: maxLogs,
        }),
      );
    } catch (err) {
      /** @type {string} */
      const message = err.message;
      if (message.startsWith("Query's end date and time")) {
        // This error indicates that the query's start or end date occur
        // before the log group was created.
        throw new DateOutOfBoundsError(message);
      }

      throw err;
    }
  }
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartQuery](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/StartQueryCommand)。

## 案例
<a name="scenarios"></a>

### 執行大型查詢
<a name="cloudwatch-logs_Scenario_BigQuery_javascript_3_topic"></a>

下列程式碼範例示範如何使用 CloudWatch Logs 查詢超過 10,000 筆記錄。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch-logs/scenarios/large-query#code-examples)中設定和執行。
這是進入點。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { CloudWatchLogsClient } from "@aws-sdk/client-cloudwatch-logs";
import { CloudWatchQuery } from "./cloud-watch-query.js";

console.log("Starting a recursive query...");

if (!process.env.QUERY_START_DATE || !process.env.QUERY_END_DATE) {
  throw new Error(
    "QUERY_START_DATE and QUERY_END_DATE environment variables are required.",
  );
}

const cloudWatchQuery = new CloudWatchQuery(new CloudWatchLogsClient({}), {
  logGroupNames: ["/workflows/cloudwatch-logs/large-query"],
  dateRange: [
    new Date(Number.parseInt(process.env.QUERY_START_DATE)),
    new Date(Number.parseInt(process.env.QUERY_END_DATE)),
  ],
});

await cloudWatchQuery.run();

console.log(
  `Queries finished in ${cloudWatchQuery.secondsElapsed} seconds.\nTotal logs found: ${cloudWatchQuery.results.length}`,
);
```
這是一種類別，可在必要時將查詢拆分為多個步驟。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import {
  StartQueryCommand,
  GetQueryResultsCommand,
} from "@aws-sdk/client-cloudwatch-logs";
import { splitDateRange } from "@aws-doc-sdk-examples/lib/utils/util-date.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

class DateOutOfBoundsError extends Error {}

export class CloudWatchQuery {
  /**
   * Run a query for all CloudWatch Logs within a certain date range.
   * CloudWatch logs return a max of 10,000 results. This class
   * performs a binary search across all of the logs in the provided
   * date range if a query returns the maximum number of results.
   *
   * @param {import('@aws-sdk/client-cloudwatch-logs').CloudWatchLogsClient} client
   * @param {{ logGroupNames: string[], dateRange: [Date, Date], queryConfig: { limit: number } }} config
   */
  constructor(client, { logGroupNames, dateRange, queryConfig }) {
    this.client = client;
    /**
     * All log groups are queried.
     */
    this.logGroupNames = logGroupNames;

    /**
     * The inclusive date range that is queried.
     */
    this.dateRange = dateRange;

    /**
     * CloudWatch Logs never returns more than 10,000 logs.
     */
    this.limit = queryConfig?.limit ?? 10000;

    /**
     * @type {import("@aws-sdk/client-cloudwatch-logs").ResultField[][]}
     */
    this.results = [];
  }

  /**
   * Run the query.
   */
  async run() {
    this.secondsElapsed = 0;
    const start = new Date();
    this.results = await this._largeQuery(this.dateRange);
    const end = new Date();
    this.secondsElapsed = (end - start) / 1000;
    return this.results;
  }

  /**
   * Recursively query for logs.
   * @param {[Date, Date]} dateRange
   * @returns {Promise<import("@aws-sdk/client-cloudwatch-logs").ResultField[][]>}
   */
  async _largeQuery(dateRange) {
    const logs = await this._query(dateRange, this.limit);

    console.log(
      `Query date range: ${dateRange
        .map((d) => d.toISOString())
        .join(" to ")}. Found ${logs.length} logs.`,
    );

    if (logs.length < this.limit) {
      return logs;
    }

    const lastLogDate = this._getLastLogDate(logs);
    const offsetLastLogDate = new Date(lastLogDate);
    offsetLastLogDate.setMilliseconds(lastLogDate.getMilliseconds() + 1);
    const subDateRange = [offsetLastLogDate, dateRange[1]];
    const [r1, r2] = splitDateRange(subDateRange);
    const results = await Promise.all([
      this._largeQuery(r1),
      this._largeQuery(r2),
    ]);
    return [logs, ...results].flat();
  }

  /**
   * Find the most recent log in a list of logs.
   * @param {import("@aws-sdk/client-cloudwatch-logs").ResultField[][]} logs
   */
  _getLastLogDate(logs) {
    const timestamps = logs
      .map(
        (log) =>
          log.find((fieldMeta) => fieldMeta.field === "@timestamp")?.value,
      )
      .filter((t) => !!t)
      .map((t) => `${t}Z`)
      .sort();

    if (!timestamps.length) {
      throw new Error("No timestamp found in logs.");
    }

    return new Date(timestamps[timestamps.length - 1]);
  }

  /**
   * Simple wrapper for the GetQueryResultsCommand.
   * @param {string} queryId
   */
  _getQueryResults(queryId) {
    return this.client.send(new GetQueryResultsCommand({ queryId }));
  }

  /**
   * Starts a query and waits for it to complete.
   * @param {[Date, Date]} dateRange
   * @param {number} maxLogs
   */
  async _query(dateRange, maxLogs) {
    try {
      const { queryId } = await this._startQuery(dateRange, maxLogs);
      const { results } = await this._waitUntilQueryDone(queryId);
      return results ?? [];
    } catch (err) {
      /**
       * This error is thrown when StartQuery returns an error indicating
       * that the query's start or end date occur before the log group was
       * created.
       */
      if (err instanceof DateOutOfBoundsError) {
        return [];
      }
      throw err;
    }
  }

  /**
   * Wrapper for the StartQueryCommand. Uses a static query string
   * for consistency.
   * @param {[Date, Date]} dateRange
   * @param {number} maxLogs
   * @returns {Promise<{ queryId: string }>}
   */
  async _startQuery([startDate, endDate], maxLogs = 10000) {
    try {
      return await this.client.send(
        new StartQueryCommand({
          logGroupNames: this.logGroupNames,
          queryString: "fields @timestamp, @message | sort @timestamp asc",
          startTime: startDate.valueOf(),
          endTime: endDate.valueOf(),
          limit: maxLogs,
        }),
      );
    } catch (err) {
      /** @type {string} */
      const message = err.message;
      if (message.startsWith("Query's end date and time")) {
        // This error indicates that the query's start or end date occur
        // before the log group was created.
        throw new DateOutOfBoundsError(message);
      }

      throw err;
    }
  }

  /**
   * Call GetQueryResultsCommand until the query is done.
   * @param {string} queryId
   */
  _waitUntilQueryDone(queryId) {
    const getResults = async () => {
      const results = await this._getQueryResults(queryId);
      const queryDone = [
        "Complete",
        "Failed",
        "Cancelled",
        "Timeout",
        "Unknown",
      ].includes(results.status);

      return { queryDone, results };
    };

    return retry(
      { intervalInMs: 1000, maxRetries: 60, quiet: true },
      async () => {
        const { queryDone, results } = await getResults();
        if (!queryDone) {
          throw new Error("Query not done.");
        }

        return results;
      },
    );
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [GetQueryResults](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/GetQueryResultsCommand)
  + [StartQuery](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch-logs/command/StartQueryCommand)

### 使用排程事件來調用 Lambda 函式
<a name="cross_LambdaScheduledEvents_javascript_3_topic"></a>

下列程式碼範例示範如何建立由 Amazon EventBridge 排程事件呼叫的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何建立叫用 AWS Lambda 函數的 Amazon EventBridge 排程事件。將 EventBridge 設定為在調用 Lambda 函式時使用 Cron 表達式來進行排程。在此範例中，您會使用 Lambda JavaScript 執行時期 API 建立 Lambda 函式。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立應用程式，將行動裝置文字訊息傳送給員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-scheduled-events) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/scheduled-events-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ CloudWatch Logs
+ DynamoDB
+ EventBridge
+ Lambda
+ Amazon SNS

# 使用適用於 JavaScript 的 SDK (v3) 的 CodeBuild 範例
<a name="javascript_3_codebuild_code_examples"></a>

下列程式碼範例示範如何搭配 CodeBuild 使用 適用於 JavaScript 的 AWS SDK (v3) 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `CreateProject`
<a name="codebuild_CreateProject_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateProject`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/codebuild#code-examples)中設定和執行。
建立專案。  

```
import {
  ArtifactsType,
  CodeBuildClient,
  ComputeType,
  CreateProjectCommand,
  EnvironmentType,
  SourceType,
} from "@aws-sdk/client-codebuild";

// Create the AWS CodeBuild project.
export const createProject = async (
  projectName = "MyCodeBuilder",
  roleArn = "arn:aws:iam::xxxxxxxxxxxx:role/CodeBuildAdmin",
  buildOutputBucket = "xxxx",
  githubUrl = "https://...",
) => {
  const codeBuildClient = new CodeBuildClient({});

  const response = await codeBuildClient.send(
    new CreateProjectCommand({
      artifacts: {
        // The destination of the build artifacts.
        type: ArtifactsType.S3,
        location: buildOutputBucket,
      },
      // Information about the build environment. The combination of "computeType" and "type" determines the
      // requirements for the environment such as CPU, memory, and disk space.
      environment: {
        // Build environment compute types.
        // https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html
        computeType: ComputeType.BUILD_GENERAL1_SMALL,
        // Docker image identifier.
        // See https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-available.html
        image: "aws/codebuild/standard:7.0",
        // Build environment type.
        type: EnvironmentType.LINUX_CONTAINER,
      },
      name: projectName,
      // A role ARN with permission to create a CodeBuild project, write to the artifact location, and write CloudWatch logs.
      serviceRole: roleArn,
      source: {
        // The type of repository that contains the source code to be built.
        type: SourceType.GITHUB,
        // The location of the repository that contains the source code to be built.
        location: githubUrl,
      },
    }),
  );
  console.log(response);
  //   {
  //     '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: 'b428b244-777b-49a6-a48d-5dffedced8e7',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //     },
  //     project: {
  //       arn: 'arn:aws:codebuild:us-east-1:xxxxxxxxxxxx:project/MyCodeBuilder',
  //       artifacts: {
  //         encryptionDisabled: false,
  //         location: 'xxxxxx-xxxxxxx-xxxxxx',
  //         name: 'MyCodeBuilder',
  //         namespaceType: 'NONE',
  //         packaging: 'NONE',
  //         type: 'S3'
  //       },
  //       badge: { badgeEnabled: false },
  //       cache: { type: 'NO_CACHE' },
  //       created: 2023-08-18T14:46:48.979Z,
  //       encryptionKey: 'arn:aws:kms:us-east-1:xxxxxxxxxxxx:alias/aws/s3',
  //       environment: {
  //         computeType: 'BUILD_GENERAL1_SMALL',
  //         environmentVariables: [],
  //         image: 'aws/codebuild/standard:7.0',
  //         imagePullCredentialsType: 'CODEBUILD',
  //         privilegedMode: false,
  //         type: 'LINUX_CONTAINER'
  //       },
  //       lastModified: 2023-08-18T14:46:48.979Z,
  //       name: 'MyCodeBuilder',
  //       projectVisibility: 'PRIVATE',
  //       queuedTimeoutInMinutes: 480,
  //       serviceRole: 'arn:aws:iam::xxxxxxxxxxxx:role/CodeBuildAdmin',
  //       source: {
  //         insecureSsl: false,
  //         location: 'https://...',
  //         reportBuildStatus: false,
  //         type: 'GITHUB'
  //       },
  //       timeoutInMinutes: 60
  //     }
  //   }
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/codebuild/)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateProject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/codebuild/command/CreateProjectCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Cognito 身分範例
<a name="javascript_3_cognito-identity_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Cognito Identity 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立 Amazon Textract Explorer 應用程式
<a name="cross_TextractExplorer_javascript_3_topic"></a>

下列程式碼範例示範如何透過互動式應用程式探索 Amazon Textract 輸出。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK 建置 React 應用程式，該應用程式使用 Amazon Textract 從文件映像擷取資料，並將其顯示在互動式網頁中。此範例會在 Web 瀏覽器中執行，且登入資料需要經過驗證的 Amazon Cognito 身分。它使用 Amazon Simple Storage Service (Amazon S3 進行儲存，對於通知，它會輪詢訂閱 Amazon Simple Notification Service (Amazon SNS)) 主題的 Amazon Simple Queue Service (Amazon SQS) 佇列。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/textract-react) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Cognito Identity
+ Amazon S3
+ Amazon SNS
+ Amazon SQS
+ Amazon Textract

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Cognito 身分提供者範例
<a name="javascript_3_cognito-identity-provider_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Cognito Identity Provider 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)
+ [案例](#scenarios)

## 開始使用
<a name="get_started"></a>

### Hello Amazon Cognito
<a name="cognito-identity-provider_Hello_javascript_3_topic"></a>

下列程式碼範例顯示如何開始使用 Amazon Cognito。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
import {
  paginateListUserPools,
  CognitoIdentityProviderClient,
} from "@aws-sdk/client-cognito-identity-provider";

const client = new CognitoIdentityProviderClient({});

export const helloCognito = async () => {
  const paginator = paginateListUserPools({ client }, {});

  const userPoolNames = [];

  for await (const page of paginator) {
    const names = page.UserPools.map((pool) => pool.Name);
    userPoolNames.push(...names);
  }

  console.log("User pool names: ");
  console.log(userPoolNames.join("\n"));
  return userPoolNames;
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListUserPools](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ListUserPoolsCommand)。

## 動作
<a name="actions"></a>

### `AdminGetUser`
<a name="cognito-identity-provider_AdminGetUser_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AdminGetUser`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider/#code-examples)中設定和執行。

```
const adminGetUser = ({ userPoolId, username }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new AdminGetUserCommand({
    UserPoolId: userPoolId,
    Username: username,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [AdminGetUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AdminGetUserCommand)。

### `AdminInitiateAuth`
<a name="cognito-identity-provider_AdminInitiateAuth_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AdminInitiateAuth`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider/#code-examples)中設定和執行。

```
const adminInitiateAuth = ({ clientId, userPoolId, username, password }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new AdminInitiateAuthCommand({
    ClientId: clientId,
    UserPoolId: userPoolId,
    AuthFlow: AuthFlowType.ADMIN_USER_PASSWORD_AUTH,
    AuthParameters: { USERNAME: username, PASSWORD: password },
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [AdminInitiateAuth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AdminInitiateAuthCommand)。

### `AdminRespondToAuthChallenge`
<a name="cognito-identity-provider_AdminRespondToAuthChallenge_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AdminRespondToAuthChallenge`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const adminRespondToAuthChallenge = ({
  userPoolId,
  clientId,
  username,
  totp,
  session,
}) => {
  const client = new CognitoIdentityProviderClient({});
  const command = new AdminRespondToAuthChallengeCommand({
    ChallengeName: ChallengeNameType.SOFTWARE_TOKEN_MFA,
    ChallengeResponses: {
      SOFTWARE_TOKEN_MFA_CODE: totp,
      USERNAME: username,
    },
    ClientId: clientId,
    UserPoolId: userPoolId,
    Session: session,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [AdminRespondToAuthChallenge](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AdminRespondToAuthChallengeCommand)。

### `AssociateSoftwareToken`
<a name="cognito-identity-provider_AssociateSoftwareToken_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AssociateSoftwareToken`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const associateSoftwareToken = (session) => {
  const client = new CognitoIdentityProviderClient({});
  const command = new AssociateSoftwareTokenCommand({
    Session: session,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [AssociateSoftwareToken](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AssociateSoftwareTokenCommand)。

### `ConfirmDevice`
<a name="cognito-identity-provider_ConfirmDevice_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ConfirmDevice`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const confirmDevice = ({ deviceKey, accessToken, passwordVerifier, salt }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new ConfirmDeviceCommand({
    DeviceKey: deviceKey,
    AccessToken: accessToken,
    DeviceSecretVerifierConfig: {
      PasswordVerifier: passwordVerifier,
      Salt: salt,
    },
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ConfirmDevice](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ConfirmDeviceCommand)。

### `ConfirmSignUp`
<a name="cognito-identity-provider_ConfirmSignUp_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ConfirmSignUp`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const confirmSignUp = ({ clientId, username, code }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new ConfirmSignUpCommand({
    ClientId: clientId,
    Username: username,
    ConfirmationCode: code,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ConfirmSignUp](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ConfirmSignUpCommand)。

### `DeleteUser`
<a name="cognito-identity-provider_DeleteUser_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteUser`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-pools-triggers#code-examples)中設定和執行。

```
/**
 * Delete the signed-in user. Useful for allowing a user to delete their
 * own profile.
 * @param {{ region: string, accessToken: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").DeleteUserCommandOutput | null, unknown]>}
 */
export const deleteUser = async ({ region, accessToken }) => {
  try {
    const client = new CognitoIdentityProviderClient({ region });
    const response = await client.send(
      new DeleteUserCommand({ AccessToken: accessToken }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [DeleteUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/DeleteUserCommand)。

### `InitiateAuth`
<a name="cognito-identity-provider_InitiateAuth_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `InitiateAuth`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const initiateAuth = ({ username, password, clientId }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new InitiateAuthCommand({
    AuthFlow: AuthFlowType.USER_PASSWORD_AUTH,
    AuthParameters: {
      USERNAME: username,
      PASSWORD: password,
    },
    ClientId: clientId,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [InitiateAuth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/InitiateAuthCommand)。

### `ListUsers`
<a name="cognito-identity-provider_ListUsers_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListUsers`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const listUsers = ({ userPoolId }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new ListUsersCommand({
    UserPoolId: userPoolId,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [ListUsers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ListUsersCommand)。

### `ResendConfirmationCode`
<a name="cognito-identity-provider_ResendConfirmationCode_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ResendConfirmationCode`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const resendConfirmationCode = ({ clientId, username }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new ResendConfirmationCodeCommand({
    ClientId: clientId,
    Username: username,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ResendConfirmationCode](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ResendConfirmationCodeCommand)。

### `RespondToAuthChallenge`
<a name="cognito-identity-provider_RespondToAuthChallenge_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `RespondToAuthChallenge`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const respondToAuthChallenge = ({
  clientId,
  username,
  session,
  userPoolId,
  code,
}) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new RespondToAuthChallengeCommand({
    ChallengeName: ChallengeNameType.SOFTWARE_TOKEN_MFA,
    ChallengeResponses: {
      SOFTWARE_TOKEN_MFA_CODE: code,
      USERNAME: username,
    },
    ClientId: clientId,
    UserPoolId: userPoolId,
    Session: session,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [RespondToAuthChallenge](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/RespondToAuthChallengeCommand)。

### `SignUp`
<a name="cognito-identity-provider_SignUp_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SignUp`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const signUp = ({ clientId, username, password, email }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new SignUpCommand({
    ClientId: clientId,
    Username: username,
    Password: password,
    UserAttributes: [{ Name: "email", Value: email }],
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [SignUp](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/SignUpCommand)。

### `UpdateUserPool`
<a name="cognito-identity-provider_UpdateUserPool_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateUserPool`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-pools-triggers#code-examples)中設定和執行。

```
/**
 * Connect a Lambda function to the PreSignUp trigger for a Cognito user pool
 * @param {{ region: string, userPoolId: string, handlerArn: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").UpdateUserPoolCommandOutput | null, unknown]>}
 */
export const addPreSignUpHandler = async ({
  region,
  userPoolId,
  handlerArn,
}) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({
      region,
    });

    const command = new UpdateUserPoolCommand({
      UserPoolId: userPoolId,
      LambdaConfig: {
        PreSignUp: handlerArn,
      },
    });

    const response = await cognitoClient.send(command);
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateUserPool](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/UpdateUserPoolCommand)。

### `VerifySoftwareToken`
<a name="cognito-identity-provider_VerifySoftwareToken_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `VerifySoftwareToken`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider#code-examples)中設定和執行。

```
const verifySoftwareToken = (totp) => {
  const client = new CognitoIdentityProviderClient({});

  // The 'Session' is provided in the response to 'AssociateSoftwareToken'.
  const session = process.env.SESSION;

  if (!session) {
    throw new Error(
      "Missing a valid Session. Did you run 'admin-initiate-auth'?",
    );
  }

  const command = new VerifySoftwareTokenCommand({
    Session: session,
    UserCode: totp,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [VerifySoftwareToken](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/VerifySoftwareTokenCommand)。

## 案例
<a name="scenarios"></a>

### 使用 Lambda 函數自動確認已知使用者
<a name="cross_CognitoAutoConfirmUser_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Lambda 函式自動確認已知的 Amazon Cognito 使用者。
+ 設定使用者集區以呼叫 `PreSignUp` 觸發條件的 Lambda 函數。
+ 使用 Amazon Cognito 註冊使用者。
+ Lambda 函數會掃描 DynamoDB 資料表，並自動確認已知使用者。
+ 以新使用者身分登入，然後清除資源。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-pools-triggers#code-examples)中設定和執行。
設定互動式 "Scenario" 執行。JavaScript (v3) 範例會共用案例執行器，以簡化複雜的範例。完整的原始程式碼位於 GitHub。  

```
import { AutoConfirm } from "./scenario-auto-confirm.js";

/**
 * The context is passed to every scenario. Scenario steps
 * will modify the context.
 */
const context = {
  errors: [],
  users: [
    {
      UserName: "test_user_1",
      UserEmail: "test_email_1@example.com",
    },
    {
      UserName: "test_user_2",
      UserEmail: "test_email_2@example.com",
    },
    {
      UserName: "test_user_3",
      UserEmail: "test_email_3@example.com",
    },
  ],
};

/**
 * Three Scenarios are created for the workflow. A Scenario is an orchestration class
 * that simplifies running a series of steps.
 */
export const scenarios = {
  // Demonstrate automatically confirming known users in a database.
  "auto-confirm": AutoConfirm(context),
};

// Call function if run directly
import { fileURLToPath } from "node:url";
import { parseScenarioArgs } from "@aws-doc-sdk-examples/lib/scenario/index.js";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Cognito user pools and triggers",
    description:
      "Demonstrate how to use the AWS SDKs to customize Amazon Cognito authentication behavior.",
  });
}
```
此案例展示如何自動確認已知使用者。它會協調範例步驟。  

```
import { wait } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";
import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";

import {
  getStackOutputs,
  logCleanUpReminder,
  promptForStackName,
  promptForStackRegion,
  skipWhenErrors,
} from "./steps-common.js";
import { populateTable } from "./actions/dynamodb-actions.js";
import {
  addPreSignUpHandler,
  deleteUser,
  getUser,
  signIn,
  signUpUser,
} from "./actions/cognito-actions.js";
import {
  getLatestLogStreamForLambda,
  getLogEvents,
} from "./actions/cloudwatch-logs-actions.js";

/**
 * @typedef {{
 *   errors: Error[],
 *   password: string,
 *   users: { UserName: string, UserEmail: string }[],
 *   selectedUser?: string,
 *   stackName?: string,
 *   stackRegion?: string,
 *   token?: string,
 *   confirmDeleteSignedInUser?: boolean,
 *   TableName?: string,
 *   UserPoolClientId?: string,
 *   UserPoolId?: string,
 *   UserPoolArn?: string,
 *   AutoConfirmHandlerArn?: string,
 *   AutoConfirmHandlerName?: string
 * }} State
 */

const greeting = new ScenarioOutput(
  "greeting",
  (/** @type {State} */ state) => `This demo will populate some users into the \
database created as part of the "${state.stackName}" stack. \
Then the AutoConfirmHandler will be linked to the PreSignUp \
trigger from Cognito. Finally, you will choose a user to sign up.`,
  { skipWhen: skipWhenErrors },
);

const logPopulatingUsers = new ScenarioOutput(
  "logPopulatingUsers",
  "Populating the DynamoDB table with some users.",
  { skipWhenErrors: skipWhenErrors },
);

const logPopulatingUsersComplete = new ScenarioOutput(
  "logPopulatingUsersComplete",
  "Done populating users.",
  { skipWhen: skipWhenErrors },
);

const populateUsers = new ScenarioAction(
  "populateUsers",
  async (/** @type {State} */ state) => {
    const [_, err] = await populateTable({
      region: state.stackRegion,
      tableName: state.TableName,
      items: state.users,
    });
    if (err) {
      state.errors.push(err);
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

const logSetupSignUpTrigger = new ScenarioOutput(
  "logSetupSignUpTrigger",
  "Setting up the PreSignUp trigger for the Cognito User Pool.",
  { skipWhen: skipWhenErrors },
);

const setupSignUpTrigger = new ScenarioAction(
  "setupSignUpTrigger",
  async (/** @type {State} */ state) => {
    const [_, err] = await addPreSignUpHandler({
      region: state.stackRegion,
      userPoolId: state.UserPoolId,
      handlerArn: state.AutoConfirmHandlerArn,
    });
    if (err) {
      state.errors.push(err);
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

const logSetupSignUpTriggerComplete = new ScenarioOutput(
  "logSetupSignUpTriggerComplete",
  (
    /** @type {State} */ state,
  ) => `The lambda function "${state.AutoConfirmHandlerName}" \
has been configured as the PreSignUp trigger handler for the user pool "${state.UserPoolId}".`,
  { skipWhen: skipWhenErrors },
);

const selectUser = new ScenarioInput(
  "selectedUser",
  "Select a user to sign up.",
  {
    type: "select",
    choices: (/** @type {State} */ state) => state.users.map((u) => u.UserName),
    skipWhen: skipWhenErrors,
    default: (/** @type {State} */ state) => state.users[0].UserName,
  },
);

const checkIfUserAlreadyExists = new ScenarioAction(
  "checkIfUserAlreadyExists",
  async (/** @type {State} */ state) => {
    const [user, err] = await getUser({
      region: state.stackRegion,
      userPoolId: state.UserPoolId,
      username: state.selectedUser,
    });

    if (err?.name === "UserNotFoundException") {
      // Do nothing. We're not expecting the user to exist before
      // sign up is complete.
      return;
    }

    if (err) {
      state.errors.push(err);
      return;
    }

    if (user) {
      state.errors.push(
        new Error(
          `The user "${state.selectedUser}" already exists in the user pool "${state.UserPoolId}".`,
        ),
      );
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

const createPassword = new ScenarioInput(
  "password",
  "Enter a password that has at least eight characters, uppercase, lowercase, numbers and symbols.",
  { type: "password", skipWhen: skipWhenErrors, default: "Abcd1234!" },
);

const logSignUpExistingUser = new ScenarioOutput(
  "logSignUpExistingUser",
  (/** @type {State} */ state) => `Signing up user "${state.selectedUser}".`,
  { skipWhen: skipWhenErrors },
);

const signUpExistingUser = new ScenarioAction(
  "signUpExistingUser",
  async (/** @type {State} */ state) => {
    const signUp = (password) =>
      signUpUser({
        region: state.stackRegion,
        userPoolClientId: state.UserPoolClientId,
        username: state.selectedUser,
        email: state.users.find((u) => u.UserName === state.selectedUser)
          .UserEmail,
        password,
      });

    let [_, err] = await signUp(state.password);

    while (err?.name === "InvalidPasswordException") {
      console.warn("The password you entered was invalid.");
      await createPassword.handle(state);
      [_, err] = await signUp(state.password);
    }

    if (err) {
      state.errors.push(err);
    }
  },
  { skipWhen: skipWhenErrors },
);

const logSignUpExistingUserComplete = new ScenarioOutput(
  "logSignUpExistingUserComplete",
  (/** @type {State} */ state) =>
    `"${state.selectedUser} was signed up successfully.`,
  { skipWhen: skipWhenErrors },
);

const logLambdaLogs = new ScenarioAction(
  "logLambdaLogs",
  async (/** @type {State} */ state) => {
    console.log(
      "Waiting a few seconds to let Lambda write to CloudWatch Logs...\n",
    );
    await wait(10);

    const [logStream, logStreamErr] = await getLatestLogStreamForLambda({
      functionName: state.AutoConfirmHandlerName,
      region: state.stackRegion,
    });
    if (logStreamErr) {
      state.errors.push(logStreamErr);
      return;
    }

    console.log(
      `Getting some recent events from log stream "${logStream.logStreamName}"`,
    );
    const [logEvents, logEventsErr] = await getLogEvents({
      functionName: state.AutoConfirmHandlerName,
      region: state.stackRegion,
      eventCount: 10,
      logStreamName: logStream.logStreamName,
    });
    if (logEventsErr) {
      state.errors.push(logEventsErr);
      return;
    }

    console.log(logEvents.map((ev) => `\t${ev.message}`).join(""));
  },
  { skipWhen: skipWhenErrors },
);

const logSignInUser = new ScenarioOutput(
  "logSignInUser",
  (/** @type {State} */ state) => `Let's sign in as ${state.selectedUser}`,
  { skipWhen: skipWhenErrors },
);

const signInUser = new ScenarioAction(
  "signInUser",
  async (/** @type {State} */ state) => {
    const [response, err] = await signIn({
      region: state.stackRegion,
      clientId: state.UserPoolClientId,
      username: state.selectedUser,
      password: state.password,
    });

    if (err?.name === "PasswordResetRequiredException") {
      state.errors.push(new Error("Please reset your password."));
      return;
    }

    if (err) {
      state.errors.push(err);
      return;
    }

    state.token = response?.AuthenticationResult?.AccessToken;
  },
  { skipWhen: skipWhenErrors },
);

const logSignInUserComplete = new ScenarioOutput(
  "logSignInUserComplete",
  (/** @type {State} */ state) =>
    `Successfully signed in. Your access token starts with: ${state.token.slice(0, 11)}`,
  { skipWhen: skipWhenErrors },
);

const confirmDeleteSignedInUser = new ScenarioInput(
  "confirmDeleteSignedInUser",
  "Do you want to delete the currently signed in user?",
  { type: "confirm", skipWhen: skipWhenErrors },
);

const deleteSignedInUser = new ScenarioAction(
  "deleteSignedInUser",
  async (/** @type {State} */ state) => {
    const [_, err] = await deleteUser({
      region: state.stackRegion,
      accessToken: state.token,
    });

    if (err) {
      state.errors.push(err);
    }
  },
  {
    skipWhen: (/** @type {State} */ state) =>
      skipWhenErrors(state) || !state.confirmDeleteSignedInUser,
  },
);

const logErrors = new ScenarioOutput(
  "logErrors",
  (/** @type {State}*/ state) => {
    const errorList = state.errors
      .map((err) => ` - ${err.name}: ${err.message}`)
      .join("\n");
    return `Scenario errors found:\n${errorList}`;
  },
  {
    // Don't log errors when there aren't any!
    skipWhen: (/** @type {State} */ state) => state.errors.length === 0,
  },
);

export const AutoConfirm = (context) =>
  new Scenario(
    "AutoConfirm",
    [
      promptForStackName,
      promptForStackRegion,
      getStackOutputs,
      greeting,
      logPopulatingUsers,
      populateUsers,
      logPopulatingUsersComplete,
      logSetupSignUpTrigger,
      setupSignUpTrigger,
      logSetupSignUpTriggerComplete,
      selectUser,
      checkIfUserAlreadyExists,
      createPassword,
      logSignUpExistingUser,
      signUpExistingUser,
      logSignUpExistingUserComplete,
      logLambdaLogs,
      logSignInUser,
      signInUser,
      logSignInUserComplete,
      confirmDeleteSignedInUser,
      deleteSignedInUser,
      logCleanUpReminder,
      logErrors,
    ],
    context,
  );
```
這些是與其他案例共用的步驟。  

```
import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";
import { getCfnOutputs } from "@aws-doc-sdk-examples/lib/sdk/cfn-outputs.js";

export const skipWhenErrors = (state) => state.errors.length > 0;

export const getStackOutputs = new ScenarioAction(
  "getStackOutputs",
  async (state) => {
    if (!state.stackName || !state.stackRegion) {
      state.errors.push(
        new Error(
          "No stack name or region provided. The stack name and \
region are required to fetch CFN outputs relevant to this example.",
        ),
      );
      return;
    }

    const outputs = await getCfnOutputs(state.stackName, state.stackRegion);
    Object.assign(state, outputs);
  },
);

export const promptForStackName = new ScenarioInput(
  "stackName",
  "Enter the name of the stack you deployed earlier.",
  { type: "input", default: "PoolsAndTriggersStack" },
);

export const promptForStackRegion = new ScenarioInput(
  "stackRegion",
  "Enter the region of the stack you deployed earlier.",
  { type: "input", default: "us-east-1" },
);

export const logCleanUpReminder = new ScenarioOutput(
  "logCleanUpReminder",
  "All done. Remember to run 'cdk destroy' to teardown the stack.",
  { skipWhen: skipWhenErrors },
);
```
具有 Lambda 函數之 `PreSignUp` 觸發條件的處理常式。  

```
import type { PreSignUpTriggerEvent, Handler } from "aws-lambda";
import type { UserRepository } from "./user-repository";
import { DynamoDBUserRepository } from "./user-repository";

export class PreSignUpHandler {
  private userRepository: UserRepository;

  constructor(userRepository: UserRepository) {
    this.userRepository = userRepository;
  }

  private isPreSignUpTriggerSource(event: PreSignUpTriggerEvent): boolean {
    return event.triggerSource === "PreSignUp_SignUp";
  }

  private getEventUserEmail(event: PreSignUpTriggerEvent): string {
    return event.request.userAttributes.email;
  }

  async handlePreSignUpTriggerEvent(
    event: PreSignUpTriggerEvent,
  ): Promise<PreSignUpTriggerEvent> {
    console.log(
      `Received presignup from ${event.triggerSource} for user '${event.userName}'`,
    );

    if (!this.isPreSignUpTriggerSource(event)) {
      return event;
    }

    const eventEmail = this.getEventUserEmail(event);
    console.log(`Looking up email ${eventEmail}.`);
    const storedUserInfo =
      await this.userRepository.getUserInfoByEmail(eventEmail);

    if (!storedUserInfo) {
      console.log(
        `Email ${eventEmail} not found. Email verification is required.`,
      );
      return event;
    }

    if (storedUserInfo.UserName !== event.userName) {
      console.log(
        `UserEmail ${eventEmail} found, but stored UserName '${storedUserInfo.UserName}' does not match supplied UserName '${event.userName}'. Verification is required.`,
      );
    } else {
      console.log(
        `UserEmail ${eventEmail} found with matching UserName ${storedUserInfo.UserName}. User is confirmed.`,
      );
      event.response.autoConfirmUser = true;
      event.response.autoVerifyEmail = true;
    }
    return event;
  }
}

const createPreSignUpHandler = (): PreSignUpHandler => {
  const tableName = process.env.TABLE_NAME;
  if (!tableName) {
    throw new Error("TABLE_NAME environment variable is not set");
  }

  const userRepository = new DynamoDBUserRepository(tableName);
  return new PreSignUpHandler(userRepository);
};

export const handler: Handler = async (event: PreSignUpTriggerEvent) => {
  const preSignUpHandler = createPreSignUpHandler();
  return preSignUpHandler.handlePreSignUpTriggerEvent(event);
};
```
CloudWatch Logs 動作的模組。  

```
import {
  CloudWatchLogsClient,
  GetLogEventsCommand,
  OrderBy,
  paginateDescribeLogStreams,
} from "@aws-sdk/client-cloudwatch-logs";

/**
 * Get the latest log stream for a Lambda function.
 * @param {{ functionName: string, region: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cloudwatch-logs").LogStream | null, unknown]>}
 */
export const getLatestLogStreamForLambda = async ({ functionName, region }) => {
  try {
    const logGroupName = `/aws/lambda/${functionName}`;
    const cwlClient = new CloudWatchLogsClient({ region });
    const paginator = paginateDescribeLogStreams(
      { client: cwlClient },
      {
        descending: true,
        limit: 1,
        orderBy: OrderBy.LastEventTime,
        logGroupName,
      },
    );

    for await (const page of paginator) {
      return [page.logStreams[0], null];
    }
  } catch (err) {
    return [null, err];
  }
};

/**
 * Get the log events for a Lambda function's log stream.
 * @param {{
 *   functionName: string,
 *   logStreamName: string,
 *   eventCount: number,
 *   region: string
 * }} config
 * @returns {Promise<[import("@aws-sdk/client-cloudwatch-logs").OutputLogEvent[] | null, unknown]>}
 */
export const getLogEvents = async ({
  functionName,
  logStreamName,
  eventCount,
  region,
}) => {
  try {
    const cwlClient = new CloudWatchLogsClient({ region });
    const logGroupName = `/aws/lambda/${functionName}`;
    const response = await cwlClient.send(
      new GetLogEventsCommand({
        logStreamName: logStreamName,
        limit: eventCount,
        logGroupName: logGroupName,
      }),
    );

    return [response.events, null];
  } catch (err) {
    return [null, err];
  }
};
```
Amazon Cognito 動作的模組。  

```
import {
  AdminGetUserCommand,
  CognitoIdentityProviderClient,
  DeleteUserCommand,
  InitiateAuthCommand,
  SignUpCommand,
  UpdateUserPoolCommand,
} from "@aws-sdk/client-cognito-identity-provider";

/**
 * Connect a Lambda function to the PreSignUp trigger for a Cognito user pool
 * @param {{ region: string, userPoolId: string, handlerArn: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").UpdateUserPoolCommandOutput | null, unknown]>}
 */
export const addPreSignUpHandler = async ({
  region,
  userPoolId,
  handlerArn,
}) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({
      region,
    });

    const command = new UpdateUserPoolCommand({
      UserPoolId: userPoolId,
      LambdaConfig: {
        PreSignUp: handlerArn,
      },
    });

    const response = await cognitoClient.send(command);
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Attempt to register a user to a user pool with a given username and password.
 * @param {{
 *   region: string,
 *   userPoolClientId: string,
 *   username: string,
 *   email: string,
 *   password: string
 * }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").SignUpCommandOutput | null, unknown]>}
 */
export const signUpUser = async ({
  region,
  userPoolClientId,
  username,
  email,
  password,
}) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({
      region,
    });

    const response = await cognitoClient.send(
      new SignUpCommand({
        ClientId: userPoolClientId,
        Username: username,
        Password: password,
        UserAttributes: [{ Name: "email", Value: email }],
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Sign in a user to Amazon Cognito using a username and password authentication flow.
 * @param {{ region: string, clientId: string, username: string, password: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").InitiateAuthCommandOutput | null, unknown]>}
 */
export const signIn = async ({ region, clientId, username, password }) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({ region });
    const response = await cognitoClient.send(
      new InitiateAuthCommand({
        AuthFlow: "USER_PASSWORD_AUTH",
        ClientId: clientId,
        AuthParameters: { USERNAME: username, PASSWORD: password },
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Retrieve an existing user from a user pool.
 * @param {{ region: string, userPoolId: string, username: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").AdminGetUserCommandOutput | null, unknown]>}
 */
export const getUser = async ({ region, userPoolId, username }) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({ region });
    const response = await cognitoClient.send(
      new AdminGetUserCommand({
        UserPoolId: userPoolId,
        Username: username,
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Delete the signed-in user. Useful for allowing a user to delete their
 * own profile.
 * @param {{ region: string, accessToken: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").DeleteUserCommandOutput | null, unknown]>}
 */
export const deleteUser = async ({ region, accessToken }) => {
  try {
    const client = new CognitoIdentityProviderClient({ region });
    const response = await client.send(
      new DeleteUserCommand({ AccessToken: accessToken }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};
```
DynamoDB 動作的模組。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  BatchWriteCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";

/**
 * Populate a DynamoDB table with provide items.
 * @param {{ region: string, tableName: string, items: Record<string, unknown>[] }} config
 * @returns {Promise<[import("@aws-sdk/lib-dynamodb").BatchWriteCommandOutput | null, unknown]>}
 */
export const populateTable = async ({ region, tableName, items }) => {
  try {
    const ddbClient = new DynamoDBClient({ region });
    const docClient = DynamoDBDocumentClient.from(ddbClient);
    const response = await docClient.send(
      new BatchWriteCommand({
        RequestItems: {
          [tableName]: items.map((item) => ({
            PutRequest: {
              Item: item,
            },
          })),
        },
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [DeleteUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/DeleteUserCommand)
  + [InitiateAuth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/InitiateAuthCommand)
  + [SignUp](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/SignUpCommand)
  + [UpdateUserPool](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/UpdateUserPoolCommand)

### 使用需要 MFA 的使用者集區註冊使用者
<a name="cognito-identity-provider_Scenario_SignUpUserWithMfa_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 使用使用者名稱、密碼和電子郵件地址註冊並確認使用者。
+ 透過將 MFA 應用程式與使用者建立關聯，以設定多重要素身分驗證。
+ 使用密碼和 MFA 代碼登入。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cognito-identity-provider/scenarios/basic#code-examples)中設定和執行。
為了獲得最佳體驗，請複製 GitHub 儲存庫並執行此範例。下列程式碼代表完整範例應用程式的範例。  

```
import { logger } from "@aws-doc-sdk-examples/lib/utils/util-log.js";
import { signUp } from "../../../actions/sign-up.js";
import { FILE_USER_POOLS } from "./constants.js";
import { getSecondValuesFromEntries } from "@aws-doc-sdk-examples/lib/utils/util-csv.js";

const validateClient = (clientId) => {
  if (!clientId) {
    throw new Error(
      `App client id is missing. Did you run 'create-user-pool'?`,
    );
  }
};

const validateUser = (username, password, email) => {
  if (!(username && password && email)) {
    throw new Error(
      `Username, password, and email must be provided as arguments to the 'sign-up' command.`,
    );
  }
};

const signUpHandler = async (commands) => {
  const [_, username, password, email] = commands;

  try {
    validateUser(username, password, email);
    /**
     * @type {string[]}
     */
    const values = getSecondValuesFromEntries(FILE_USER_POOLS);
    const clientId = values[0];
    validateClient(clientId);
    logger.log("Signing up.");
    await signUp({ clientId, username, password, email });
    logger.log(`Signed up. A confirmation email has been sent to: ${email}.`);
    logger.log(
      `Run 'confirm-sign-up ${username} <code>' to confirm your account.`,
    );
  } catch (err) {
    logger.error(err);
  }
};

export { signUpHandler };

const signUp = ({ clientId, username, password, email }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new SignUpCommand({
    ClientId: clientId,
    Username: username,
    Password: password,
    UserAttributes: [{ Name: "email", Value: email }],
  });

  return client.send(command);
};

import { logger } from "@aws-doc-sdk-examples/lib/utils/util-log.js";
import { confirmSignUp } from "../../../actions/confirm-sign-up.js";
import { FILE_USER_POOLS } from "./constants.js";
import { getSecondValuesFromEntries } from "@aws-doc-sdk-examples/lib/utils/util-csv.js";

const validateClient = (clientId) => {
  if (!clientId) {
    throw new Error(
      `App client id is missing. Did you run 'create-user-pool'?`,
    );
  }
};

const validateUser = (username) => {
  if (!username) {
    throw new Error(
      `Username name is missing. It must be provided as an argument to the 'confirm-sign-up' command.`,
    );
  }
};

const validateCode = (code) => {
  if (!code) {
    throw new Error(
      `Verification code is missing. It must be provided as an argument to the 'confirm-sign-up' command.`,
    );
  }
};

const confirmSignUpHandler = async (commands) => {
  const [_, username, code] = commands;

  try {
    validateUser(username);
    validateCode(code);
    /**
     * @type {string[]}
     */
    const values = getSecondValuesFromEntries(FILE_USER_POOLS);
    const clientId = values[0];
    validateClient(clientId);
    logger.log("Confirming user.");
    await confirmSignUp({ clientId, username, code });
    logger.log(
      `User confirmed. Run 'admin-initiate-auth ${username} <password>' to sign in.`,
    );
  } catch (err) {
    logger.error(err);
  }
};

export { confirmSignUpHandler };

const confirmSignUp = ({ clientId, username, code }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new ConfirmSignUpCommand({
    ClientId: clientId,
    Username: username,
    ConfirmationCode: code,
  });

  return client.send(command);
};

import qrcode from "qrcode-terminal";
import { logger } from "@aws-doc-sdk-examples/lib/utils/util-log.js";
import { adminInitiateAuth } from "../../../actions/admin-initiate-auth.js";
import { associateSoftwareToken } from "../../../actions/associate-software-token.js";
import { FILE_USER_POOLS } from "./constants.js";
import { getFirstEntry } from "@aws-doc-sdk-examples/lib/utils/util-csv.js";

const handleMfaSetup = async (session, username) => {
  const { SecretCode, Session } = await associateSoftwareToken(session);

  // Store the Session for use with 'VerifySoftwareToken'.
  process.env.SESSION = Session;

  console.log(
    "Scan this code in your preferred authenticator app, then run 'verify-software-token' to finish the setup.",
  );
  qrcode.generate(
    `otpauth://totp/${username}?secret=${SecretCode}`,
    { small: true },
    console.log,
  );
};

const handleSoftwareTokenMfa = (session) => {
  // Store the Session for use with 'AdminRespondToAuthChallenge'.
  process.env.SESSION = session;
};

const validateClient = (id) => {
  if (!id) {
    throw new Error(
      `User pool client id is missing. Did you run 'create-user-pool'?`,
    );
  }
};

const validateId = (id) => {
  if (!id) {
    throw new Error(`User pool id is missing. Did you run 'create-user-pool'?`);
  }
};

const validateUser = (username, password) => {
  if (!(username && password)) {
    throw new Error(
      `Username and password must be provided as arguments to the 'admin-initiate-auth' command.`,
    );
  }
};

const adminInitiateAuthHandler = async (commands) => {
  const [_, username, password] = commands;

  try {
    validateUser(username, password);

    const [userPoolId, clientId] = getFirstEntry(FILE_USER_POOLS);
    validateId(userPoolId);
    validateClient(clientId);

    logger.log("Signing in.");
    const { ChallengeName, Session } = await adminInitiateAuth({
      clientId,
      userPoolId,
      username,
      password,
    });

    if (ChallengeName === "MFA_SETUP") {
      logger.log("MFA setup is required.");
      return handleMfaSetup(Session, username);
    }

    if (ChallengeName === "SOFTWARE_TOKEN_MFA") {
      handleSoftwareTokenMfa(Session);
      logger.log(`Run 'admin-respond-to-auth-challenge ${username} <totp>'`);
    }
  } catch (err) {
    logger.error(err);
  }
};

export { adminInitiateAuthHandler };

const adminInitiateAuth = ({ clientId, userPoolId, username, password }) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new AdminInitiateAuthCommand({
    ClientId: clientId,
    UserPoolId: userPoolId,
    AuthFlow: AuthFlowType.ADMIN_USER_PASSWORD_AUTH,
    AuthParameters: { USERNAME: username, PASSWORD: password },
  });

  return client.send(command);
};

import { logger } from "@aws-doc-sdk-examples/lib/utils/util-log.js";
import { adminRespondToAuthChallenge } from "../../../actions/admin-respond-to-auth-challenge.js";
import { getFirstEntry } from "@aws-doc-sdk-examples/lib/utils/util-csv.js";
import { FILE_USER_POOLS } from "./constants.js";

const verifyUsername = (username) => {
  if (!username) {
    throw new Error(
      `Username is missing. It must be provided as an argument to the 'admin-respond-to-auth-challenge' command.`,
    );
  }
};

const verifyTotp = (totp) => {
  if (!totp) {
    throw new Error(
      `Time-based one-time password (TOTP) is missing. It must be provided as an argument to the 'admin-respond-to-auth-challenge' command.`,
    );
  }
};

const storeAccessToken = (token) => {
  process.env.AccessToken = token;
};

const adminRespondToAuthChallengeHandler = async (commands) => {
  const [_, username, totp] = commands;

  try {
    verifyUsername(username);
    verifyTotp(totp);

    const [userPoolId, clientId] = getFirstEntry(FILE_USER_POOLS);
    const session = process.env.SESSION;

    const { AuthenticationResult } = await adminRespondToAuthChallenge({
      clientId,
      userPoolId,
      username,
      totp,
      session,
    });

    storeAccessToken(AuthenticationResult.AccessToken);

    logger.log("Successfully authenticated.");
  } catch (err) {
    logger.error(err);
  }
};

export { adminRespondToAuthChallengeHandler };

const respondToAuthChallenge = ({
  clientId,
  username,
  session,
  userPoolId,
  code,
}) => {
  const client = new CognitoIdentityProviderClient({});

  const command = new RespondToAuthChallengeCommand({
    ChallengeName: ChallengeNameType.SOFTWARE_TOKEN_MFA,
    ChallengeResponses: {
      SOFTWARE_TOKEN_MFA_CODE: code,
      USERNAME: username,
    },
    ClientId: clientId,
    UserPoolId: userPoolId,
    Session: session,
  });

  return client.send(command);
};

import { logger } from "@aws-doc-sdk-examples/lib/utils/util-log.js";
import { verifySoftwareToken } from "../../../actions/verify-software-token.js";

const validateTotp = (totp) => {
  if (!totp) {
    throw new Error(
      `Time-based one-time password (TOTP) must be provided to the 'validate-software-token' command.`,
    );
  }
};
const verifySoftwareTokenHandler = async (commands) => {
  const [_, totp] = commands;

  try {
    validateTotp(totp);

    logger.log("Verifying TOTP.");
    await verifySoftwareToken(totp);
    logger.log("TOTP Verified. Run 'admin-initiate-auth' again to sign-in.");
  } catch (err) {
    logger.error(err);
  }
};

export { verifySoftwareTokenHandler };

const verifySoftwareToken = (totp) => {
  const client = new CognitoIdentityProviderClient({});

  // The 'Session' is provided in the response to 'AssociateSoftwareToken'.
  const session = process.env.SESSION;

  if (!session) {
    throw new Error(
      "Missing a valid Session. Did you run 'admin-initiate-auth'?",
    );
  }

  const command = new VerifySoftwareTokenCommand({
    Session: session,
    UserCode: totp,
  });

  return client.send(command);
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AdminGetUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AdminGetUserCommand)
  + [AdminInitiateAuth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AdminInitiateAuthCommand)
  + [AdminRespondToAuthChallenge](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AdminRespondToAuthChallengeCommand)
  + [AssociateSoftwareToken](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/AssociateSoftwareTokenCommand)
  + [ConfirmDevice](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ConfirmDeviceCommand)
  + [ConfirmSignUp](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ConfirmSignUpCommand)
  + [InitiateAuth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/InitiateAuthCommand)
  + [ListUsers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ListUsersCommand)
  + [ResendConfirmationCode](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/ResendConfirmationCodeCommand)
  + [RespondToAuthChallenge](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/RespondToAuthChallengeCommand)
  + [SignUp](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/SignUpCommand)
  + [VerifySoftwareToken](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/VerifySoftwareTokenCommand)

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Comprehend 範例
<a name="javascript_3_comprehend_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Comprehend 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建置 Amazon Transcribe 串流應用程式
<a name="cross_TranscriptionStreamingApp_javascript_3_topic"></a>

下面的程式碼範例說明如何建置可即時記錄、轉錄和翻譯直播音訊並透過電子郵件傳送結果的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 說明如何使用 Amazon Transcribe 建置應用程式，該應用程式可即時記錄、轉錄和翻譯直播音訊，並可使用 Amazon Simple Email Service (Amazon SES) 透過電子郵件傳送結果。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/transcribe-streaming-app) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon SES
+ Amazon Transcribe
+ Amazon Translate

### 建置 Amazon Lex 聊天機器人
<a name="cross_LexChatbotLanguages_javascript_3_topic"></a>

下列程式碼範例示範如何建立聊天機器人，與網站訪客的互動。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Amazon Lex API 在 Web 應用程式中建立 Chatbot，與網站訪客的互動。  
 如需完整的原始程式碼和如何設定和執行的指示，請參閱 適用於 JavaScript 的 AWS SDK 開發人員指南中的[建置 Amazon Lex 聊天機器人](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/lex-bot-example.html)完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

### 建立應用程式以分析客戶意見回饋
<a name="cross_FSA_javascript_3_topic"></a>

下列程式碼範例會示範如何建立可分析客戶評論卡、從其原始語言進行翻譯、判斷對方情緒，以及透過翻譯後的文字產生音訊檔案的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 此範例應用程式會分析和存儲客戶的意見回饋卡。具體來說，它滿足了紐約市一家虛構飯店的需求。飯店以實體評論卡的形式收到賓客以各種語言撰寫的意見回饋。這些意見回饋透過 Web 用戶端上傳至應用程式。評論卡的影像上傳後，系統會執行下列步驟：  
+ 文字內容是使用 Amazon Textract 從影像中擷取。
+ Amazon Comprehend 會決定擷取文字及其用語的情感。
+ 擷取的文字內容會使用 Amazon Translate 翻譯成英文。
+ Amazon Polly 會使用擷取的文字內容合成音訊檔案。
 完整的應用程式可透過  AWS CDK 部署。如需原始程式碼和部署的說明，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer) 中的專案。以下摘錄顯示如何在 Lambda 函數內 適用於 JavaScript 的 AWS SDK 使用 。  

```
import {
  ComprehendClient,
  DetectDominantLanguageCommand,
  DetectSentimentCommand,
} from "@aws-sdk/client-comprehend";

/**
 * Determine the language and sentiment of the extracted text.
 *
 * @param {{ source_text: string}} extractTextOutput
 */
export const handler = async (extractTextOutput) => {
  const comprehendClient = new ComprehendClient({});

  const detectDominantLanguageCommand = new DetectDominantLanguageCommand({
    Text: extractTextOutput.source_text,
  });

  // The source language is required for sentiment analysis and
  // translation in the next step.
  const { Languages } = await comprehendClient.send(
    detectDominantLanguageCommand,
  );

  const languageCode = Languages[0].LanguageCode;

  const detectSentimentCommand = new DetectSentimentCommand({
    Text: extractTextOutput.source_text,
    LanguageCode: languageCode,
  });

  const { Sentiment } = await comprehendClient.send(detectSentimentCommand);

  return {
    sentiment: Sentiment,
    language_code: languageCode,
  };
};
```

```
import {
  DetectDocumentTextCommand,
  TextractClient,
} from "@aws-sdk/client-textract";

/**
 * Fetch the S3 object from the event and analyze it using Amazon Textract.
 *
 * @param {import("@types/aws-lambda").EventBridgeEvent<"Object Created">} eventBridgeS3Event
 */
export const handler = async (eventBridgeS3Event) => {
  const textractClient = new TextractClient();

  const detectDocumentTextCommand = new DetectDocumentTextCommand({
    Document: {
      S3Object: {
        Bucket: eventBridgeS3Event.bucket,
        Name: eventBridgeS3Event.object,
      },
    },
  });

  // Textract returns a list of blocks. A block can be a line, a page, word, etc.
  // Each block also contains geometry of the detected text.
  // For more information on the Block type, see https://docs.aws.amazon.com/textract/latest/dg/API_Block.html.
  const { Blocks } = await textractClient.send(detectDocumentTextCommand);

  // For the purpose of this example, we are only interested in words.
  const extractedWords = Blocks.filter((b) => b.BlockType === "WORD").map(
    (b) => b.Text,
  );

  return extractedWords.join(" ");
};
```

```
import { PollyClient, SynthesizeSpeechCommand } from "@aws-sdk/client-polly";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

/**
 * Synthesize an audio file from text.
 *
 * @param {{ bucket: string, translated_text: string, object: string}} sourceDestinationConfig
 */
export const handler = async (sourceDestinationConfig) => {
  const pollyClient = new PollyClient({});

  const synthesizeSpeechCommand = new SynthesizeSpeechCommand({
    Engine: "neural",
    Text: sourceDestinationConfig.translated_text,
    VoiceId: "Ruth",
    OutputFormat: "mp3",
  });

  const { AudioStream } = await pollyClient.send(synthesizeSpeechCommand);

  const audioKey = `${sourceDestinationConfig.object}.mp3`;

  // Store the audio file in S3.
  const s3Client = new S3Client();
  const upload = new Upload({
    client: s3Client,
    params: {
      Bucket: sourceDestinationConfig.bucket,
      Key: audioKey,
      Body: AudioStream,
      ContentType: "audio/mp3",
    },
  });

  await upload.done();
  return audioKey;
};
```

```
import {
  TranslateClient,
  TranslateTextCommand,
} from "@aws-sdk/client-translate";

/**
 * Translate the extracted text to English.
 *
 * @param {{ extracted_text: string, source_language_code: string}} textAndSourceLanguage
 */
export const handler = async (textAndSourceLanguage) => {
  const translateClient = new TranslateClient({});

  const translateCommand = new TranslateTextCommand({
    SourceLanguageCode: textAndSourceLanguage.source_language_code,
    TargetLanguageCode: "en",
    Text: textAndSourceLanguage.extracted_text,
  });

  const { TranslatedText } = await translateClient.send(translateCommand);

  return { translated_text: TranslatedText };
};
```

**此範例中使用的服務**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon DocumentDB 範例
<a name="javascript_3_docdb_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon DocumentDB 來執行動作和實作常見案例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [無伺服器範例](#serverless_examples)

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 Amazon DocumentDB 觸發條件調用 Lambda 函數
<a name="serverless_DocumentDB_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DocumentDB 變更串流的記錄來接收所觸發的事件。函數會擷取 DocumentDB 承載並記下記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-docdb-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 使用 Amazon DocumentDB 事件。  

```
console.log('Loading function');
exports.handler = async (event, context) => {
    event.events.forEach(record => {
        logDocumentDBEvent(record);
    });
    return 'OK';
};

const logDocumentDBEvent = (record) => {
    console.log('Operation type: ' + record.event.operationType);
    console.log('db: ' + record.event.ns.db);
    console.log('collection: ' + record.event.ns.coll);
    console.log('Full document:', JSON.stringify(record.event.fullDocument, null, 2));
};
```
使用 TypeScript 搭配 Lambda 使用 Amazon DocumentDB 事件  

```
import { DocumentDBEventRecord, DocumentDBEventSubscriptionContext } from 'aws-lambda';

console.log('Loading function');

export const handler = async (
  event: DocumentDBEventSubscriptionContext,
  context: any
): Promise<string> => {
  event.events.forEach((record: DocumentDBEventRecord) => {
    logDocumentDBEvent(record);
  });
  return 'OK';
};

const logDocumentDBEvent = (record: DocumentDBEventRecord): void => {
  console.log('Operation type: ' + record.event.operationType);
  console.log('db: ' + record.event.ns.db);
  console.log('collection: ' + record.event.ns.coll);
  console.log('Full document:', JSON.stringify(record.event.fullDocument, null, 2));
};
```

# 使用適用於 JavaScript 的 SDK (v3) 的 DynamoDB 範例
<a name="javascript_3_dynamodb_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 DynamoDB 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)
+ [案例](#scenarios)
+ [無伺服器範例](#serverless_examples)

## 開始使用
<a name="get_started"></a>

### Hello DynamoDB
<a name="dynamodb_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 DynamoDB。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
如需在 中使用 DynamoDB 的詳細資訊 適用於 JavaScript 的 AWS SDK，請參閱[使用 JavaScript 程式設計 DynamoDB](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/programming-with-javascript.html)。  

```
import { ListTablesCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";

const client = new DynamoDBClient({});

export const main = async () => {
  const command = new ListTablesCommand({});

  const response = await client.send(command);
  console.log(response.TableNames.join("\n"));
  return response;
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListTables](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ListTablesCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="dynamodb_Scenario_GettingStartedMovies_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立可存放電影資料的資料表。
+ 放入、取得和更新資料表中的單個電影。
+ 將影片資料從範例 JSON 檔案寫入資料表。
+ 查詢特定年份發表的電影。
+ 掃描某個年份範圍內發表的電影。
+ 從資料表刪除電影，然後刪除資料表。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。

```
import { readFileSync } from "node:fs";
import {
  BillingMode,
  CreateTableCommand,
  DeleteTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";

/**
 * This module is a convenience library. It abstracts Amazon DynamoDB's data type
 * descriptors (such as S, N, B, and BOOL) by marshalling JavaScript objects into
 * AttributeValue shapes.
 */
import {
  BatchWriteCommand,
  DeleteCommand,
  DynamoDBDocumentClient,
  GetCommand,
  PutCommand,
  UpdateCommand,
  paginateQuery,
  paginateScan,
} from "@aws-sdk/lib-dynamodb";

// These modules are local to our GitHub repository. We recommend cloning
// the project from GitHub if you want to run this example.
// For more information, see https://github.com/awsdocs/aws-doc-sdk-examples.
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { dirnameFromMetaUrl } from "@aws-doc-sdk-examples/lib/utils/util-fs.js";
import { chunkArray } from "@aws-doc-sdk-examples/lib/utils/util-array.js";

const dirname = dirnameFromMetaUrl(import.meta.url);
const tableName = getUniqueName("Movies");
const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

const log = (msg) => console.log(`[SCENARIO] ${msg}`);

export const main = async () => {
  /**
   * Create a table.
   */

  const createTableCommand = new CreateTableCommand({
    TableName: tableName,
    // This example performs a large write to the database.
    // Set the billing mode to PAY_PER_REQUEST to
    // avoid throttling the large write.
    BillingMode: BillingMode.PAY_PER_REQUEST,
    // Define the attributes that are necessary for the key schema.
    AttributeDefinitions: [
      {
        AttributeName: "year",
        // 'N' is a data type descriptor that represents a number type.
        // For a list of all data type descriptors, see the following link.
        // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.LowLevelAPI.html#Programming.LowLevelAPI.DataTypeDescriptors
        AttributeType: "N",
      },
      { AttributeName: "title", AttributeType: "S" },
    ],
    // The KeySchema defines the primary key. The primary key can be
    // a partition key, or a combination of a partition key and a sort key.
    // Key schema design is important. For more info, see
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/best-practices.html
    KeySchema: [
      // The way your data is accessed determines how you structure your keys.
      // The movies table will be queried for movies by year. It makes sense
      // to make year our partition (HASH) key.
      { AttributeName: "year", KeyType: "HASH" },
      { AttributeName: "title", KeyType: "RANGE" },
    ],
  });

  log("Creating a table.");
  const createTableResponse = await client.send(createTableCommand);
  log(`Table created: ${JSON.stringify(createTableResponse.TableDescription)}`);

  // This polls with DescribeTableCommand until the requested table is 'ACTIVE'.
  // You can't write to a table before it's active.
  log("Waiting for the table to be active.");
  await waitUntilTableExists({ client }, { TableName: tableName });
  log("Table active.");

  /**
   * Add a movie to the table.
   */

  log("Adding a single movie to the table.");
  // PutCommand is the first example usage of 'lib-dynamodb'.
  const putCommand = new PutCommand({
    TableName: tableName,
    Item: {
      // In 'client-dynamodb', the AttributeValue would be required (`year: { N: 1981 }`)
      // 'lib-dynamodb' simplifies the usage ( `year: 1981` )
      year: 1981,
      // The preceding KeySchema defines 'title' as our sort (RANGE) key, so 'title'
      // is required.
      title: "The Evil Dead",
      // Every other attribute is optional.
      info: {
        genres: ["Horror"],
      },
    },
  });
  await docClient.send(putCommand);
  log("The movie was added.");

  /**
   * Get a movie from the table.
   */

  log("Getting a single movie from the table.");
  const getCommand = new GetCommand({
    TableName: tableName,
    // Requires the complete primary key. For the movies table, the primary key
    // is only the id (partition key).
    Key: {
      year: 1981,
      title: "The Evil Dead",
    },
    // Set this to make sure that recent writes are reflected.
    // For more information, see https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadConsistency.html.
    ConsistentRead: true,
  });
  const getResponse = await docClient.send(getCommand);
  log(`Got the movie: ${JSON.stringify(getResponse.Item)}`);

  /**
   * Update a movie in the table.
   */

  log("Updating a single movie in the table.");
  const updateCommand = new UpdateCommand({
    TableName: tableName,
    Key: { year: 1981, title: "The Evil Dead" },
    // This update expression appends "Comedy" to the list of genres.
    // For more information on update expressions, see
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Expressions.UpdateExpressions.html
    UpdateExpression: "set #i.#g = list_append(#i.#g, :vals)",
    ExpressionAttributeNames: { "#i": "info", "#g": "genres" },
    ExpressionAttributeValues: {
      ":vals": ["Comedy"],
    },
    ReturnValues: "ALL_NEW",
  });
  const updateResponse = await docClient.send(updateCommand);
  log(`Movie updated: ${JSON.stringify(updateResponse.Attributes)}`);

  /**
   * Delete a movie from the table.
   */

  log("Deleting a single movie from the table.");
  const deleteCommand = new DeleteCommand({
    TableName: tableName,
    Key: { year: 1981, title: "The Evil Dead" },
  });
  await docClient.send(deleteCommand);
  log("Movie deleted.");

  /**
   * Upload a batch of movies.
   */

  log("Adding movies from local JSON file.");
  const file = readFileSync(
    `${dirname}../../../../resources/sample_files/movies.json`,
  );
  const movies = JSON.parse(file.toString());
  // chunkArray is a local convenience function. It takes an array and returns
  // a generator function. The generator function yields every N items.
  const movieChunks = chunkArray(movies, 25);
  // For every chunk of 25 movies, make one BatchWrite request.
  for (const chunk of movieChunks) {
    const putRequests = chunk.map((movie) => ({
      PutRequest: {
        Item: movie,
      },
    }));

    const command = new BatchWriteCommand({
      RequestItems: {
        [tableName]: putRequests,
      },
    });

    await docClient.send(command);
  }
  log("Movies added.");

  /**
   * Query for movies by year.
   */

  log("Querying for all movies from 1981.");
  const paginatedQuery = paginateQuery(
    { client: docClient },
    {
      TableName: tableName,
      //For more information about query expressions, see
      // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Query.html#Query.KeyConditionExpressions
      KeyConditionExpression: "#y = :y",
      // 'year' is a reserved word in DynamoDB. Indicate that it's an attribute
      // name by using an expression attribute name.
      ExpressionAttributeNames: { "#y": "year" },
      ExpressionAttributeValues: { ":y": 1981 },
      ConsistentRead: true,
    },
  );
  /**
   * @type { Record<string, any>[] };
   */
  const movies1981 = [];
  for await (const page of paginatedQuery) {
    movies1981.push(...page.Items);
  }
  log(`Movies: ${movies1981.map((m) => m.title).join(", ")}`);

  /**
   * Scan the table for movies between 1980 and 1990.
   */

  log("Scan for movies released between 1980 and 1990");
  // A 'Scan' operation always reads every item in the table. If your design requires
  // the use of 'Scan', consider indexing your table or changing your design.
  // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html
  const paginatedScan = paginateScan(
    { client: docClient },
    {
      TableName: tableName,
      // Scan uses a filter expression instead of a key condition expression. Scan will
      // read the entire table and then apply the filter.
      FilterExpression: "#y between :y1 and :y2",
      ExpressionAttributeNames: { "#y": "year" },
      ExpressionAttributeValues: { ":y1": 1980, ":y2": 1990 },
      ConsistentRead: true,
    },
  );
  /**
   * @type { Record<string, any>[] };
   */
  const movies1980to1990 = [];
  for await (const page of paginatedScan) {
    movies1980to1990.push(...page.Items);
  }
  log(
    `Movies: ${movies1980to1990
      .map((m) => `${m.title} (${m.year})`)
      .join(", ")}`,
  );

  /**
   * Delete the table.
   */

  const deleteTableCommand = new DeleteTableCommand({ TableName: tableName });
  log(`Deleting table ${tableName}.`);
  await client.send(deleteTableCommand);
  log("Table deleted.");
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchWriteItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchWriteItemCommand)
  + [CreateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/CreateTableCommand)
  + [DeleteItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DeleteItemCommand)
  + [DeleteTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DeleteTableCommand)
  + [DescribeTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DescribeTableCommand)
  + [GetItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/GetItemCommand)
  + [PutItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/PutItemCommand)
  + [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)
  + [Scan](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ScanCommand)
  + [UpdateItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)

## 動作
<a name="actions"></a>

### `BatchExecuteStatement`
<a name="dynamodb_BatchExecuteStatement_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `BatchExecuteStatement`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
使用 PartiQL 建立一批項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  DynamoDBDocumentClient,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const breakfastFoods = ["Eggs", "Bacon", "Sausage"];
  const command = new BatchExecuteStatementCommand({
    Statements: breakfastFoods.map((food) => ({
      Statement: `INSERT INTO BreakfastFoods value {'Name':?}`,
      Parameters: [food],
    })),
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
使用 PartiQL 取得一批項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  DynamoDBDocumentClient,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new BatchExecuteStatementCommand({
    Statements: [
      {
        Statement: "SELECT * FROM PepperMeasurements WHERE Unit=?",
        Parameters: ["Teaspoons"],
        ConsistentRead: true,
      },
      {
        Statement: "SELECT * FROM PepperMeasurements WHERE Unit=?",
        Parameters: ["Grams"],
        ConsistentRead: true,
      },
    ],
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
使用 PartiQL 更新一批項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  DynamoDBDocumentClient,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const eggUpdates = [
    ["duck", "fried"],
    ["chicken", "omelette"],
  ];
  const command = new BatchExecuteStatementCommand({
    Statements: eggUpdates.map((change) => ({
      Statement: "UPDATE Eggs SET Style=? where Variety=?",
      Parameters: [change[1], change[0]],
    })),
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
使用 PartiQL 刪除一批項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  DynamoDBDocumentClient,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new BatchExecuteStatementCommand({
    Statements: [
      {
        Statement: "DELETE FROM Flavors where Name=?",
        Parameters: ["Grape"],
      },
      {
        Statement: "DELETE FROM Flavors where Name=?",
        Parameters: ["Strawberry"],
      },
    ],
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [BatchExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchExecuteStatementCommand)。

### `BatchGetItem`
<a name="dynamodb_BatchGetItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `BatchGetItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [BatchGet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/BatchGetCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { BatchGetCommand, DynamoDBDocumentClient } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new BatchGetCommand({
    // Each key in this object is the name of a table. This example refers
    // to a Books table.
    RequestItems: {
      Books: {
        // Each entry in Keys is an object that specifies a primary key.
        Keys: [
          {
            Title: "How to AWS",
          },
          {
            Title: "DynamoDB for DBAs",
          },
        ],
        // Only return the "Title" and "PageCount" attributes.
        ProjectionExpression: "Title, PageCount",
      },
    },
  });

  const response = await docClient.send(command);
  console.log(response.Responses.Books);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-example-table-read-write-batch.html#dynamodb-example-table-read-write-batch-reading)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [BatchGetItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchGetItemCommand)。

### `BatchWriteItem`
<a name="dynamodb_BatchWriteItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `BatchWriteItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [BatchWrite](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/BatchWriteCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  BatchWriteCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";
import { readFileSync } from "node:fs";

// These modules are local to our GitHub repository. We recommend cloning
// the project from GitHub if you want to run this example.
// For more information, see https://github.com/awsdocs/aws-doc-sdk-examples.
import { dirnameFromMetaUrl } from "@aws-doc-sdk-examples/lib/utils/util-fs.js";
import { chunkArray } from "@aws-doc-sdk-examples/lib/utils/util-array.js";

const dirname = dirnameFromMetaUrl(import.meta.url);

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const file = readFileSync(
    `${dirname}../../../../../resources/sample_files/movies.json`,
  );

  const movies = JSON.parse(file.toString());

  // chunkArray is a local convenience function. It takes an array and returns
  // a generator function. The generator function yields every N items.
  const movieChunks = chunkArray(movies, 25);

  // For every chunk of 25 movies, make one BatchWrite request.
  for (const chunk of movieChunks) {
    const putRequests = chunk.map((movie) => ({
      PutRequest: {
        Item: movie,
      },
    }));

    const command = new BatchWriteCommand({
      RequestItems: {
        // An existing table is required. A composite key of 'title' and 'year' is recommended
        // to account for duplicate titles.
        BatchWriteMoviesTable: putRequests,
      },
    });

    await docClient.send(command);
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [BatchWriteItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchWriteItemCommand)。

### `CreateTable`
<a name="dynamodb_CreateTable_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateTable`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。

```
import { CreateTableCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";

const client = new DynamoDBClient({});

export const main = async () => {
  const command = new CreateTableCommand({
    TableName: "EspressoDrinks",
    // For more information about data types,
    // see https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.NamingRulesDataTypes.html#HowItWorks.DataTypes and
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.LowLevelAPI.html#Programming.LowLevelAPI.DataTypeDescriptors
    AttributeDefinitions: [
      {
        AttributeName: "DrinkName",
        AttributeType: "S",
      },
    ],
    KeySchema: [
      {
        AttributeName: "DrinkName",
        KeyType: "HASH",
      },
    ],
    BillingMode: "PAY_PER_REQUEST",
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [CreateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/CreateTableCommand)。

### `DeleteItem`
<a name="dynamodb_DeleteItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [DeleteCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/DeleteCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { DynamoDBDocumentClient, DeleteCommand } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new DeleteCommand({
    TableName: "Sodas",
    Key: {
      Flavor: "Cola",
    },
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-example-table-read-write.html#dynamodb-example-table-read-write-deleting-an-item)》。
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DeleteItemCommand)中的 *DeleteItem*。

### `DeleteTable`
<a name="dynamodb_DeleteTable_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTable`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。

```
import { DeleteTableCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";

const client = new DynamoDBClient({});

export const main = async () => {
  const command = new DeleteTableCommand({
    TableName: "DecafCoffees",
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DeleteTableCommand)。

### `DescribeTable`
<a name="dynamodb_DescribeTable_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeTable`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。

```
import { DescribeTableCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";

const client = new DynamoDBClient({});

export const main = async () => {
  const command = new DescribeTableCommand({
    TableName: "Pastries",
  });

  const response = await client.send(command);
  console.log(`TABLE NAME: ${response.Table.TableName}`);
  console.log(`TABLE ITEM COUNT: ${response.Table.ItemCount}`);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-describing-a-table)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DescribeTableCommand)。

### `DescribeTimeToLive`
<a name="dynamodb_DescribeTimeToLive_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeTimeToLive`。

**適用於 JavaScript (v3) 的 SDK**  
使用 適用於 JavaScript 的 AWS SDK描述現有 DynamoDB 資料表上的 TTL 組態。  

```
import { DynamoDBClient, DescribeTimeToLiveCommand } from "@aws-sdk/client-dynamodb";

export const describeTTL = async (tableName, region) => {
    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    try {
        const ttlDescription = await client.send(new DescribeTimeToLiveCommand({ TableName: tableName }));

        if (ttlDescription.TimeToLiveDescription.TimeToLiveStatus === 'ENABLED') {
            console.log("TTL is enabled for table %s.", tableName);
        } else {
            console.log("TTL is not enabled for table %s.", tableName);
        }

        return ttlDescription;
    } catch (e) {
        console.error(`Error describing table: ${e}`);
        throw e;
    }
}

// Example usage (commented out for testing)
// describeTTL('your-table-name', 'us-east-1');
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeTimeToLive](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DescribeTimeToLiveCommand)。

### `ExecuteStatement`
<a name="dynamodb_ExecuteStatement_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ExecuteStatement`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
使用 PartiQL 建立項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  ExecuteStatementCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new ExecuteStatementCommand({
    Statement: `INSERT INTO Flowers value {'Name':?}`,
    Parameters: ["Rose"],
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
使用 PartiQL 取得項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  ExecuteStatementCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new ExecuteStatementCommand({
    Statement: "SELECT * FROM CloudTypes WHERE IsStorm=?",
    Parameters: [false],
    ConsistentRead: true,
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
使用 PartiQL 更新項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  ExecuteStatementCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new ExecuteStatementCommand({
    Statement: "UPDATE EyeColors SET IsRecessive=? where Color=?",
    Parameters: [true, "blue"],
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
使用 PartiQL 刪除項目。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";

import {
  ExecuteStatementCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new ExecuteStatementCommand({
    Statement: "DELETE FROM PaintColors where Name=?",
    Parameters: ["Purple"],
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ExecuteStatementCommand)。

### `GetItem`
<a name="dynamodb_GetItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [GetCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/GetCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { DynamoDBDocumentClient, GetCommand } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new GetCommand({
    TableName: "AngryAnimals",
    Key: {
      CommonName: "Shoebill",
    },
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/GetItemCommand)中的 *GetItem*。

### `ListTables`
<a name="dynamodb_ListTables_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListTables`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。

```
import { ListTablesCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";

const client = new DynamoDBClient({});

export const main = async () => {
  const command = new ListTablesCommand({});

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-listing-tables)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListTables](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ListTablesCommand)。

### `PutItem`
<a name="dynamodb_PutItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [PutCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/PutCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { PutCommand, DynamoDBDocumentClient } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new PutCommand({
    TableName: "HappyAnimals",
    Item: {
      CommonName: "Shiba Inu",
    },
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/PutItemCommand)。

### `Query`
<a name="dynamodb_Query_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `Query`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [QueryCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/QueryCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { QueryCommand, DynamoDBDocumentClient } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new QueryCommand({
    TableName: "CoffeeCrop",
    KeyConditionExpression:
      "OriginCountry = :originCountry AND RoastDate > :roastDate",
    ExpressionAttributeValues: {
      ":originCountry": "Ethiopia",
      ":roastDate": "2023-05-01",
    },
    ConsistentRead: true,
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-example-query-scan.html#dynamodb-example-table-query-scan-querying)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### `Scan`
<a name="dynamodb_Scan_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `Scan`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [ScanCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/ScanCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { DynamoDBDocumentClient, ScanCommand } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new ScanCommand({
    ProjectionExpression: "#Name, Color, AvgLifeSpan",
    ExpressionAttributeNames: { "#Name": "Name" },
    TableName: "Birds",
  });

  const response = await docClient.send(command);
  for (const bird of response.Items) {
    console.log(`${bird.Name} - (${bird.Color}, ${bird.AvgLifeSpan})`);
  }
  return response;
};
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ScanCommand)中的 *Scan*。

### `UpdateItem`
<a name="dynamodb_UpdateItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
此範例使用文件用戶端來簡化 DynamoDB 中處理項目的作業。如需 API 詳細資訊，請參閱 [UpdateCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-lib-dynamodb/Class/UpdateCommand/)。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import { DynamoDBDocumentClient, UpdateCommand } from "@aws-sdk/lib-dynamodb";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

export const main = async () => {
  const command = new UpdateCommand({
    TableName: "Dogs",
    Key: {
      Breed: "Labrador",
    },
    UpdateExpression: "set Color = :color",
    ExpressionAttributeValues: {
      ":color": "black",
    },
    ReturnValues: "ALL_NEW",
  });

  const response = await docClient.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### `UpdateTimeToLive`
<a name="dynamodb_UpdateTimeToLive_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateTimeToLive`。

**適用於 JavaScript (v3) 的 SDK**  
在現有的 DynamoDB 資料表上啟用 TTL。  

```
import { DynamoDBClient, UpdateTimeToLiveCommand } from "@aws-sdk/client-dynamodb";

export const enableTTL = async (tableName, ttlAttribute, region = 'us-east-1') => {

    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    const params = {
        TableName: tableName,
        TimeToLiveSpecification: {
            Enabled: true,
            AttributeName: ttlAttribute
        }
    };

    try {
        const response = await client.send(new UpdateTimeToLiveCommand(params));
        if (response.$metadata.httpStatusCode === 200) {
            console.log(`TTL enabled successfully for table ${tableName}, using attribute name ${ttlAttribute}.`);
        } else {
            console.log(`Failed to enable TTL for table ${tableName}, response object: ${response}`);
        }
        return response;
    } catch (e) {
        console.error(`Error enabling TTL: ${e}`);
        throw e;
    }
};

// Example usage (commented out for testing)
// enableTTL('ExampleTable', 'exampleTtlAttribute');
```
在現有的 DynamoDB 資料表上停用 TTL。  

```
import { DynamoDBClient, UpdateTimeToLiveCommand } from "@aws-sdk/client-dynamodb";

export const disableTTL = async (tableName, ttlAttribute, region = 'us-east-1') => {

    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    const params = {
        TableName: tableName,
        TimeToLiveSpecification: {
            Enabled: false,
            AttributeName: ttlAttribute
        }
    };

    try {
        const response = await client.send(new UpdateTimeToLiveCommand(params));
        if (response.$metadata.httpStatusCode === 200) {
            console.log(`TTL disabled successfully for table ${tableName}, using attribute name ${ttlAttribute}.`);
        } else {
            console.log(`Failed to disable TTL for table ${tableName}, response object: ${response}`);
        }
        return response;
    } catch (e) {
        console.error(`Error disabling TTL: ${e}`);
        throw e;
    }
};

// Example usage (commented out for testing)
// disableTTL('ExampleTable', 'exampleTtlAttribute');
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateTimeToLive](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateTimeToLiveCommand)。

## 案例
<a name="scenarios"></a>

### 建置應用程式以將資料提交至 DynamoDB 資料表
<a name="cross_SubmitDataApp_javascript_3_topic"></a>

下列程式碼範例顯示如何建置應用程式，以將資料提交至 Amazon DynamoDB 資料表，並在使用者更新資料表時通知您。

**適用於 JavaScript (v3) 的 SDK**  
 此範例說明如何建置應用程式，讓使用者將資料提交至 Amazon DynamoDB 資料表，以及使用 Amazon Simple Notification Service (Amazon SNS) 傳送文字訊息給管理員。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/submit-data-app) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cross-service-example-submitting-data.html)中取得。  

**此範例中使用的服務**
+ DynamoDB
+ Amazon SNS

### 比較多個值與單一屬性
<a name="dynamodb_Scenario_CompareMultipleValues_javascript_3_topic"></a>

下列程式碼範例示範如何比較 DynamoDB 中的多個值與單一屬性。
+ 使用 IN 運算子來比較多個值與單一屬性。
+ 比較 IN 運算子與多個 OR 條件。
+ 了解使用 IN 的效能和表達式複雜性優勢。

**適用於 JavaScript (v3) 的 SDK**  
使用 比較多個值與單一屬性 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  ScanCommand, 
  QueryCommand 
} = require("@aws-sdk/lib-dynamodb");

/**
 * Query or scan a DynamoDB table to find items where an attribute matches any value from a list.
 * 
 * This function demonstrates the use of the IN operator to compare a single attribute
 * against multiple possible values, which is more efficient than using multiple OR conditions.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} attributeName - The name of the attribute to compare against the values list
 * @param {Array} valuesList - List of values to compare the attribute against
 * @param {string} [partitionKeyName] - Optional name of the partition key attribute for query operations
 * @param {string} [partitionKeyValue] - Optional value of the partition key to query
 * @returns {Promise<Object>} - The response from DynamoDB containing the matching items
 */
async function compareMultipleValues(
  config,
  tableName,
  attributeName,
  valuesList,
  partitionKeyName,
  partitionKeyValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create the filter expression using the IN operator
  const filterExpression = `${attributeName} IN (${valuesList.map((_, index) => `:val${index}`).join(', ')})`;
  
  // Create expression attribute values for the values list
  const expressionAttributeValues = valuesList.reduce((acc, val, index) => {
    acc[`:val${index}`] = val;
    return acc;
  }, {});
  
  // If partition key is provided, perform a query operation
  if (partitionKeyName && partitionKeyValue) {
    const keyCondition = `${partitionKeyName} = :partitionKey`;
    expressionAttributeValues[':partitionKey'] = partitionKeyValue;
    
    // Initialize array to collect all items
    let allItems = [];
    let lastEvaluatedKey;
    
    // Use pagination to get all results
    do {
      const params = {
        TableName: tableName,
        KeyConditionExpression: keyCondition,
        FilterExpression: filterExpression,
        ExpressionAttributeValues: expressionAttributeValues
      };
      
      // Add ExclusiveStartKey if we have a lastEvaluatedKey from a previous query
      if (lastEvaluatedKey) {
        params.ExclusiveStartKey = lastEvaluatedKey;
      }
      
      const response = await docClient.send(new QueryCommand(params));
      
      // Add the items from this page to our collection
      if (response.Items && response.Items.length > 0) {
        allItems = [...allItems, ...response.Items];
      }
      
      // Get the key for the next page of results
      lastEvaluatedKey = response.LastEvaluatedKey;
    } while (lastEvaluatedKey);
    
    // Return the complete result
    return {
      Items: allItems,
      Count: allItems.length
    };
  } else {
    // Otherwise, perform a scan operation
    // Initialize array to collect all items
    let allItems = [];
    let lastEvaluatedKey;
    
    // Use pagination to get all results
    do {
      const params = {
        TableName: tableName,
        FilterExpression: filterExpression,
        ExpressionAttributeValues: expressionAttributeValues
      };
      
      // Add ExclusiveStartKey if we have a lastEvaluatedKey from a previous scan
      if (lastEvaluatedKey) {
        params.ExclusiveStartKey = lastEvaluatedKey;
      }
      
      const response = await docClient.send(new ScanCommand(params));
      
      // Add the items from this page to our collection
      if (response.Items && response.Items.length > 0) {
        allItems = [...allItems, ...response.Items];
      }
      
      // Get the key for the next page of results
      lastEvaluatedKey = response.LastEvaluatedKey;
    } while (lastEvaluatedKey);
    
    // Return the complete result
    return {
      Items: allItems,
      Count: allItems.length
    };
  }
}

/**
 * Alternative implementation using multiple OR conditions instead of the IN operator.
 * 
 * This function is provided for comparison to show why using the IN operator is preferable.
 * With many values, this approach becomes verbose and less efficient.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} attributeName - The name of the attribute to compare against the values list
 * @param {Array} valuesList - List of values to compare the attribute against
 * @param {string} [partitionKeyName] - Optional name of the partition key attribute for query operations
 * @param {string} [partitionKeyValue] - Optional value of the partition key to query
 * @returns {Promise<Object>} - The response from DynamoDB containing the matching items
 */
async function compareWithOrConditions(
  config,
  tableName,
  attributeName,
  valuesList,
  partitionKeyName,
  partitionKeyValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // If no values provided, return empty result
  if (!valuesList || valuesList.length === 0) {
    return {
      Items: [],
      Count: 0
    };
  }
  
  // Create the filter expression using multiple OR conditions
  const filterConditions = valuesList.map((_, index) => `${attributeName} = :val${index}`);
  const filterExpression = filterConditions.join(' OR ');
  
  // Create expression attribute values for the values list
  const expressionAttributeValues = valuesList.reduce((acc, val, index) => {
    acc[`:val${index}`] = val;
    return acc;
  }, {});
  
  // If partition key is provided, perform a query operation
  if (partitionKeyName && partitionKeyValue) {
    const keyCondition = `${partitionKeyName} = :partitionKey`;
    expressionAttributeValues[':partitionKey'] = partitionKeyValue;
    
    // Initialize array to collect all items
    let allItems = [];
    let lastEvaluatedKey;
    
    // Use pagination to get all results
    do {
      const params = {
        TableName: tableName,
        KeyConditionExpression: keyCondition,
        FilterExpression: filterExpression,
        ExpressionAttributeValues: expressionAttributeValues
      };
      
      // Add ExclusiveStartKey if we have a lastEvaluatedKey from a previous query
      if (lastEvaluatedKey) {
        params.ExclusiveStartKey = lastEvaluatedKey;
      }
      
      const response = await docClient.send(new QueryCommand(params));
      
      // Add the items from this page to our collection
      if (response.Items && response.Items.length > 0) {
        allItems = [...allItems, ...response.Items];
      }
      
      // Get the key for the next page of results
      lastEvaluatedKey = response.LastEvaluatedKey;
    } while (lastEvaluatedKey);
    
    // Return the complete result
    return {
      Items: allItems,
      Count: allItems.length
    };
  } else {
    // Otherwise, perform a scan operation
    // Initialize array to collect all items
    let allItems = [];
    let lastEvaluatedKey;
    
    // Use pagination to get all results
    do {
      const params = {
        TableName: tableName,
        FilterExpression: filterExpression,
        ExpressionAttributeValues: expressionAttributeValues
      };
      
      // Add ExclusiveStartKey if we have a lastEvaluatedKey from a previous scan
      if (lastEvaluatedKey) {
        params.ExclusiveStartKey = lastEvaluatedKey;
      }
      
      const response = await docClient.send(new ScanCommand(params));
      
      // Add the items from this page to our collection
      if (response.Items && response.Items.length > 0) {
        allItems = [...allItems, ...response.Items];
      }
      
      // Get the key for the next page of results
      lastEvaluatedKey = response.LastEvaluatedKey;
    } while (lastEvaluatedKey);
    
    // Return the complete result
    return {
      Items: allItems,
      Count: allItems.length
    };
  }
}
```
比較多個值的範例用量 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to use the compareMultipleValues function.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Products";
  const attributeName = "Category";
  const valuesList = ["Electronics", "Computers", "Accessories"];
  
  console.log(`Searching for products in any of these categories: ${valuesList.join(', ')}`);
  
  try {
    // Using the IN operator (recommended approach)
    console.log("\nApproach 1: Using the IN operator");
    const response = await compareMultipleValues(
      config,
      tableName,
      attributeName,
      valuesList
    );
    
    console.log(`Found ${response.Count} products in the specified categories`);
    
    // Using multiple OR conditions (alternative approach)
    console.log("\nApproach 2: Using multiple OR conditions");
    const response2 = await compareWithOrConditions(
      config,
      tableName,
      attributeName,
      valuesList
    );
    
    console.log(`Found ${response2.Count} products in the specified categories`);
    
    // Example with a query operation
    console.log("\nQuerying a specific manufacturer's products in multiple categories");
    const partitionKeyName = "Manufacturer";
    const partitionKeyValue = "Acme";
    
    const response3 = await compareMultipleValues(
      config,
      tableName,
      attributeName,
      valuesList,
      partitionKeyName,
      partitionKeyValue
    );
    
    console.log(`Found ${response3.Count} Acme products in the specified categories`);
    
    // Explain the benefits of using the IN operator
    console.log("\nBenefits of using the IN operator:");
    console.log("1. More concise expression compared to multiple OR conditions");
    console.log("2. Better readability and maintainability");
    console.log("3. Potentially better performance with large value lists");
    console.log("4. Simpler code that's less prone to errors");
    console.log("5. Easier to modify when adding or removing values");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)
  + [Scan](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ScanCommand)

### 有條件地更新項目的 TTL
<a name="dynamodb_UpdateItemConditionalTTL_javascript_3_topic"></a>

下列程式碼範例示範如何有條件地更新項目的 TTL。

**適用於 JavaScript (v3) 的 SDK**  
使用條件更新資料表中現有的 DynamoDB 項目之 TTL。  

```
import { DynamoDBClient, UpdateItemCommand } from "@aws-sdk/client-dynamodb";
import { marshall, unmarshall } from "@aws-sdk/util-dynamodb";

export const updateItemConditional = async (tableName, partitionKey, sortKey, region = 'us-east-1', newAttribute = 'default-value') => {
    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    const currentTime = Math.floor(Date.now() / 1000);

    const params = {
        TableName: tableName,
        Key: marshall({
            artist: partitionKey,
            album: sortKey
        }),
        UpdateExpression: "SET newAttribute = :newAttribute",
        ConditionExpression: "expireAt > :expiration",
        ExpressionAttributeValues: marshall({
            ':newAttribute': newAttribute,
            ':expiration': currentTime
        }),
        ReturnValues: "ALL_NEW"
    };

    try {
        const response = await client.send(new UpdateItemCommand(params));
        const responseData = unmarshall(response.Attributes);
        console.log("Item updated successfully: ", responseData);
        return responseData;
    } catch (error) {
        if (error.name === "ConditionalCheckFailedException") {
            console.log("Condition check failed: Item's 'expireAt' is expired.");
        } else {
            console.error("Error updating item: ", error);
        }
        throw error;
    }
};

// Example usage (commented out for testing)
// updateItemConditional('your-table-name', 'your-partition-key-value', 'your-sort-key-value');
```
+  如需 API 的詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK API 參考](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)》中的 *UpdateItem*。

### 計數表達式運算子
<a name="dynamodb_Scenario_ExpressionOperatorCounting_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中計算表達式運算子。
+ 了解 DynamoDB 的 300 運算子限制。
+ 在複雜表達式中計數運算子。
+ 最佳化表達式以保持在限制內。

**適用於 JavaScript (v3) 的 SDK**  
使用 適用於 JavaScript 的 AWS SDK示範表達式運算子計數。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  QueryCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Create a complex filter expression with a specified number of conditions.
 * 
 * This function demonstrates how to generate a complex expression with
 * a specific number of operators to test the 300 operator limit.
 * 
 * @param {number} conditionsCount - Number of conditions to include
 * @param {boolean} useAnd - Whether to use AND (true) or OR (false) between conditions
 * @returns {Object} - Object containing the filter expression and attribute values
 */
function createComplexFilterExpression(conditionsCount, useAnd = true) {
  // Initialize the expression parts and attribute values
  const conditions = [];
  const expressionAttributeValues = {};
  
  // Generate the specified number of conditions
  for (let i = 0; i < conditionsCount; i++) {
    // Alternate between different comparison operators for variety
    let condition;
    const valueKey = `:val${i}`;
    
    switch (i % 5) {
      case 0:
        condition = `attribute${i} = ${valueKey}`;
        expressionAttributeValues[valueKey] = `value${i}`;
        break;
      case 1:
        condition = `attribute${i} > ${valueKey}`;
        expressionAttributeValues[valueKey] = i;
        break;
      case 2:
        condition = `attribute${i} < ${valueKey}`;
        expressionAttributeValues[valueKey] = i * 10;
        break;
      case 3:
        condition = `contains(attribute${i}, ${valueKey})`;
        expressionAttributeValues[valueKey] = `substring${i}`;
        break;
      case 4:
        condition = `attribute_exists(attribute${i})`;
        break;
    }
    
    conditions.push(condition);
  }
  
  // Join the conditions with AND or OR
  const operator = useAnd ? " AND " : " OR ";
  const filterExpression = conditions.join(operator);
  
  // Calculate the operator count
  // Each condition has 1 operator (=, >, <, contains, attribute_exists)
  // Each AND or OR between conditions is 1 operator
  const operatorCount = conditionsCount + (conditionsCount > 0 ? conditionsCount - 1 : 0);
  
  return {
    filterExpression,
    expressionAttributeValues,
    operatorCount
  };
}

/**
 * Create a complex update expression with a specified number of operations.
 * 
 * This function demonstrates how to generate a complex update expression with
 * a specific number of operators to test the 300 operator limit.
 * 
 * @param {number} operationsCount - Number of operations to include
 * @returns {Object} - Object containing the update expression and attribute values
 */
function createComplexUpdateExpression(operationsCount) {
  // Initialize the expression parts and attribute values
  const setOperations = [];
  const expressionAttributeValues = {};
  
  // Generate the specified number of SET operations
  for (let i = 0; i < operationsCount; i++) {
    // Alternate between different types of SET operations
    let operation;
    const valueKey = `:val${i}`;
    
    switch (i % 3) {
      case 0:
        // Simple assignment (1 operator: =)
        operation = `attribute${i} = ${valueKey}`;
        expressionAttributeValues[valueKey] = `value${i}`;
        break;
      case 1:
        // Addition (2 operators: = and +)
        operation = `attribute${i} = attribute${i} + ${valueKey}`;
        expressionAttributeValues[valueKey] = i;
        break;
      case 2:
        // Conditional assignment with if_not_exists (2 operators: = and if_not_exists)
        operation = `attribute${i} = if_not_exists(attribute${i}, ${valueKey})`;
        expressionAttributeValues[valueKey] = i * 10;
        break;
    }
    
    setOperations.push(operation);
  }
  
  // Create the update expression
  const updateExpression = `SET ${setOperations.join(", ")}`;
  
  // Calculate the operator count
  // Each operation has 1-2 operators as noted above
  let operatorCount = 0;
  for (let i = 0; i < operationsCount; i++) {
    operatorCount += (i % 3 === 0) ? 1 : 2;
  }
  
  return {
    updateExpression,
    expressionAttributeValues,
    operatorCount
  };
}

/**
 * Test the operator limit by attempting an operation with a complex expression.
 * 
 * This function demonstrates what happens when an expression approaches or
 * exceeds the 300 operator limit.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {number} operatorCount - Target number of operators to include
 * @returns {Promise<Object>} - Result of the operation attempt
 */
async function testOperatorLimit(
  config,
  tableName,
  key,
  operatorCount
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create a complex update expression with the specified operator count
  const { updateExpression, expressionAttributeValues, operatorCount: actualCount } = 
    createComplexUpdateExpression(Math.ceil(operatorCount / 1.5)); // Adjust to get close to target count
  
  console.log(`Generated update expression with approximately ${actualCount} operators`);
  
  // Define the update parameters
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: updateExpression,
    ExpressionAttributeValues: expressionAttributeValues,
    ReturnValues: "UPDATED_NEW"
  };
  
  try {
    // Attempt the update operation
    const response = await docClient.send(new UpdateCommand(params));
    return {
      success: true,
      message: `Operation succeeded with ${actualCount} operators`,
      data: response
    };
  } catch (error) {
    // Check if the error is due to exceeding the operator limit
    if (error.name === "ValidationException" && 
        error.message.includes("too many operators")) {
      return {
        success: false,
        message: `Operation failed: ${error.message}`,
        operatorCount: actualCount
      };
    }
    
    // Return other errors
    return {
      success: false,
      message: `Operation failed: ${error.message}`,
      error
    };
  }
}

/**
 * Break down a complex expression into multiple simpler operations.
 * 
 * This function demonstrates how to handle expressions that would exceed
 * the 300 operator limit by breaking them into multiple operations.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {number} totalOperations - Total number of operations to perform
 * @returns {Promise<Object>} - Result of the operations
 */
async function breakDownComplexExpression(
  config,
  tableName,
  key,
  totalOperations
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Calculate how many operations we can safely include in each batch
  // Using 150 as a conservative limit (well below 300)
  const operationsPerBatch = 100;
  const batchCount = Math.ceil(totalOperations / operationsPerBatch);
  
  console.log(`Breaking down ${totalOperations} operations into ${batchCount} batches`);
  
  const results = [];
  
  // Process each batch
  for (let batch = 0; batch < batchCount; batch++) {
    // Calculate the operations for this batch
    const batchStart = batch * operationsPerBatch;
    const batchEnd = Math.min(batchStart + operationsPerBatch, totalOperations);
    const batchSize = batchEnd - batchStart;
    
    console.log(`Processing batch ${batch + 1}/${batchCount} with ${batchSize} operations`);
    
    // Create an update expression for this batch
    const { updateExpression, expressionAttributeValues, operatorCount } = 
      createComplexUpdateExpression(batchSize);
    
    // Define the update parameters
    const params = {
      TableName: tableName,
      Key: key,
      UpdateExpression: updateExpression,
      ExpressionAttributeValues: expressionAttributeValues,
      ReturnValues: "UPDATED_NEW"
    };
    
    try {
      // Perform the update operation for this batch
      const response = await docClient.send(new UpdateCommand(params));
      
      results.push({
        batch: batch + 1,
        success: true,
        operatorCount,
        attributes: response.Attributes
      });
    } catch (error) {
      results.push({
        batch: batch + 1,
        success: false,
        operatorCount,
        error: error.message
      });
      
      // Stop processing if an error occurs
      break;
    }
  }
  
  return {
    totalBatches: batchCount,
    results
  };
}

/**
 * Count operators in a DynamoDB expression based on the rules in the documentation.
 * 
 * This function demonstrates how operators are counted according to the
 * DynamoDB documentation.
 * 
 * @param {string} expression - The DynamoDB expression to analyze
 * @returns {Object} - Breakdown of operator counts
 */
function countOperatorsInExpression(expression) {
  // Initialize counters for different operator types
  const counts = {
    comparisonOperators: 0,
    logicalOperators: 0,
    functions: 0,
    arithmeticOperators: 0,
    specialOperators: 0,
    total: 0
  };
  
  // Count comparison operators (=, <>, <, <=, >, >=)
  const comparisonRegex = /[^<>]=[^=]|<>|<=|>=|[^<]>[^=]|[^>]<[^=]/g;
  const comparisonMatches = expression.match(comparisonRegex) || [];
  counts.comparisonOperators = comparisonMatches.length;
  
  // Count logical operators (AND, OR, NOT)
  const andMatches = expression.match(/\bAND\b/g) || [];
  const orMatches = expression.match(/\bOR\b/g) || [];
  const notMatches = expression.match(/\bNOT\b/g) || [];
  counts.logicalOperators = andMatches.length + orMatches.length + notMatches.length;
  
  // Count functions (attribute_exists, attribute_not_exists, attribute_type, begins_with, contains, size)
  const functionRegex = /\b(attribute_exists|attribute_not_exists|attribute_type|begins_with|contains|size|if_not_exists)\(/g;
  const functionMatches = expression.match(functionRegex) || [];
  counts.functions = functionMatches.length;
  
  // Count arithmetic operators (+ and -)
  const arithmeticMatches = expression.match(/[a-zA-Z0-9_)\]]\s*[\+\-]\s*[a-zA-Z0-9_(:]/g) || [];
  counts.arithmeticOperators = arithmeticMatches.length;
  
  // Count special operators (BETWEEN, IN)
  const betweenMatches = expression.match(/\bBETWEEN\b/g) || [];
  const inMatches = expression.match(/\bIN\b/g) || [];
  counts.specialOperators = betweenMatches.length + inMatches.length;
  
  // Add extra operators for BETWEEN (each BETWEEN includes an AND)
  counts.logicalOperators += betweenMatches.length;
  
  // Calculate total
  counts.total = counts.comparisonOperators + 
                 counts.logicalOperators + 
                 counts.functions + 
                 counts.arithmeticOperators + 
                 counts.specialOperators;
  
  return counts;
}
```
運算式運算子計數的範例用量 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to work with expression operator counting.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Products";
  const key = { ProductId: "P12345" };
  
  console.log("Demonstrating DynamoDB expression operator counting and the 300 operator limit");
  
  try {
    // Example 1: Analyze a simple expression
    console.log("\nExample 1: Analyzing a simple expression");
    const simpleExpression = "Price = :price AND Rating > :rating AND Category IN (:cat1, :cat2, :cat3)";
    const simpleCount = countOperatorsInExpression(simpleExpression);
    
    console.log(`Expression: ${simpleExpression}`);
    console.log("Operator count breakdown:");
    console.log(`- Comparison operators: ${simpleCount.comparisonOperators}`);
    console.log(`- Logical operators: ${simpleCount.logicalOperators}`);
    console.log(`- Functions: ${simpleCount.functions}`);
    console.log(`- Arithmetic operators: ${simpleCount.arithmeticOperators}`);
    console.log(`- Special operators: ${simpleCount.specialOperators}`);
    console.log(`- Total operators: ${simpleCount.total}`);
    
    // Example 2: Analyze a complex expression
    console.log("\nExample 2: Analyzing a complex expression");
    const complexExpression = 
      "(attribute_exists(Category) AND Size BETWEEN :min AND :max) OR " +
      "(Price > :price AND contains(Description, :keyword) AND " +
      "(Rating >= :minRating OR Reviews > :minReviews))";
    const complexCount = countOperatorsInExpression(complexExpression);
    
    console.log(`Expression: ${complexExpression}`);
    console.log("Operator count breakdown:");
    console.log(`- Comparison operators: ${complexCount.comparisonOperators}`);
    console.log(`- Logical operators: ${complexCount.logicalOperators}`);
    console.log(`- Functions: ${complexCount.functions}`);
    console.log(`- Arithmetic operators: ${complexCount.arithmeticOperators}`);
    console.log(`- Special operators: ${complexCount.specialOperators}`);
    console.log(`- Total operators: ${complexCount.total}`);
    
    // Example 3: Test approaching the operator limit
    console.log("\nExample 3: Testing an expression approaching the operator limit");
    const approachingLimit = await testOperatorLimit(config, tableName, key, 290);
    console.log(approachingLimit.message);
    
    // Example 4: Test exceeding the operator limit
    console.log("\nExample 4: Testing an expression exceeding the operator limit");
    const exceedingLimit = await testOperatorLimit(config, tableName, key, 310);
    console.log(exceedingLimit.message);
    
    // Example 5: Breaking down a complex expression
    console.log("\nExample 5: Breaking down a complex expression into multiple operations");
    const breakdownResult = await breakDownComplexExpression(config, tableName, key, 500);
    console.log(`Processed ${breakdownResult.results.length} of ${breakdownResult.totalBatches} batches`);
    
    // Explain the operator counting rules
    console.log("\nKey points about DynamoDB expression operator counting:");
    console.log("1. The maximum number of operators in any expression is 300");
    console.log("2. Each comparison operator (=, <>, <, <=, >, >=) counts as 1 operator");
    console.log("3. Each logical operator (AND, OR, NOT) counts as 1 operator");
    console.log("4. Each function call (attribute_exists, contains, etc.) counts as 1 operator");
    console.log("5. Each arithmetic operator (+ or -) counts as 1 operator");
    console.log("6. BETWEEN counts as 2 operators (BETWEEN itself and the AND within it)");
    console.log("7. IN counts as 1 operator regardless of the number of values");
    console.log("8. Parentheses for grouping and attribute paths don't count as operators");
    console.log("9. When you exceed the limit, the error always reports '301 operators'");
    console.log("10. For complex operations, break them into multiple smaller operations");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### 建立無伺服器應用程式來管理相片
<a name="cross_PAM_javascript_3_topic"></a>

下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。  
如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager) 上的完整範例。  
如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon Rekognition
+ Amazon S3
+ Amazon SNS

### 建立啟用暖輸送量的資料表
<a name="dynamodb_CreateTableWarmThroughput_javascript_3_topic"></a>

下列程式碼範例示範如何建立啟用暖輸送量的資料表。

**適用於 JavaScript (v3) 的 SDK**  
使用 適用於 JavaScript 的 AWS SDK建立具有暖輸送量設定的 DynamoDB 資料表。  

```
import { DynamoDBClient, CreateTableCommand } from "@aws-sdk/client-dynamodb";

export async function createDynamoDBTableWithWarmThroughput(
  tableName,
  partitionKey,
  sortKey,
  miscKeyAttr,
  nonKeyAttr,
  tableProvisionedReadUnits,
  tableProvisionedWriteUnits,
  tableWarmReads,
  tableWarmWrites,
  indexName,
  indexProvisionedReadUnits,
  indexProvisionedWriteUnits,
  indexWarmReads,
  indexWarmWrites,
  region = "us-east-1"
) {
  try {
    const ddbClient = new DynamoDBClient({ region: region });
    const command = new CreateTableCommand({
      TableName: tableName,
      AttributeDefinitions: [
          { AttributeName: partitionKey, AttributeType: "S" },
          { AttributeName: sortKey, AttributeType: "S" },
          { AttributeName: miscKeyAttr, AttributeType: "N" },
      ],
      KeySchema: [
          { AttributeName: partitionKey, KeyType: "HASH" },
          { AttributeName: sortKey, KeyType: "RANGE" },
      ],
      ProvisionedThroughput: {
          ReadCapacityUnits: tableProvisionedReadUnits,
          WriteCapacityUnits: tableProvisionedWriteUnits,
      },
      WarmThroughput: {
          ReadUnitsPerSecond: tableWarmReads,
          WriteUnitsPerSecond: tableWarmWrites,
      },
      GlobalSecondaryIndexes: [
          {
            IndexName: indexName,
            KeySchema: [
                { AttributeName: sortKey, KeyType: "HASH" },
                { AttributeName: miscKeyAttr, KeyType: "RANGE" },
            ],
            Projection: {
                ProjectionType: "INCLUDE",
                NonKeyAttributes: [nonKeyAttr],
            },
            ProvisionedThroughput: {
                ReadCapacityUnits: indexProvisionedReadUnits,
                WriteCapacityUnits: indexProvisionedWriteUnits,
            },
            WarmThroughput: {
                ReadUnitsPerSecond: indexWarmReads,
                WriteUnitsPerSecond: indexWarmWrites,
            },
          },
      ],
    });
    const response = await ddbClient.send(command);
    console.log(response);
    return response;
  } catch (error) {
    console.error(`Error creating table: ${error}`);
    throw error;
  }
}

// Example usage (commented out for testing)
/*
createDynamoDBTableWithWarmThroughput(
  'example-table',
  'pk',
  'sk',
  'gsiKey',
  'data',
  10, 10, 5, 5,
  'example-index',
  5, 5, 2, 2
);
*/
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [CreateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/CreateTableCommand)。

### 建立具有 TTL 的項目
<a name="dynamodb_PutItemTTL_javascript_3_topic"></a>

下列程式碼範例示範如何建立含有 TTL 的項目。

**適用於 JavaScript (v3) 的 SDK**  

```
import { DynamoDBClient, PutItemCommand } from "@aws-sdk/client-dynamodb";

export function createDynamoDBItem(table_name, region, partition_key, sort_key) {
    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    // Get the current time in epoch second format
    const current_time = Math.floor(new Date().getTime() / 1000);

    // Calculate the expireAt time (90 days from now) in epoch second format
    const expire_at = Math.floor((new Date().getTime() + 90 * 24 * 60 * 60 * 1000) / 1000);

    // Create DynamoDB item
    const item = {
        'partitionKey': {'S': partition_key},
        'sortKey': {'S': sort_key},
        'createdAt': {'N': current_time.toString()},
        'expireAt': {'N': expire_at.toString()}
    };

    const putItemCommand = new PutItemCommand({
        TableName: table_name,
        Item: item,
        ProvisionedThroughput: {
            ReadCapacityUnits: 1,
            WriteCapacityUnits: 1,
        },
    });

    client.send(putItemCommand, function(err, data) {
        if (err) {
            console.log("Exception encountered when creating item %s, here's what happened: ", data, err);
            throw err;
        } else {
            console.log("Item created successfully: %s.", data);
            return data;
        }
    });
}

// Example usage (commented out for testing)
// createDynamoDBItem('your-table-name', 'us-east-1', 'your-partition-key-value', 'your-sort-key-value');
```
+  如需 API 的詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [PutItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/PutItemCommand)。

### 使用 PartiQL DELETE 刪除資料
<a name="dynamodb_PartiQLDelete_javascript_3_topic"></a>

下列程式碼範例示範如何使用 PartiQL DELETE 陳述式刪除資料。

**適用於 JavaScript (v3) 的 SDK**  
搭配 PartiQL DELETE 陳述式從 DynamoDB 資料表刪除項目 適用於 JavaScript 的 AWS SDK。  

```
/**
 * This example demonstrates how to delete items from a DynamoDB table using PartiQL.
 * It shows different ways to delete documents with various index types.
 */
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  DynamoDBDocumentClient,
  ExecuteStatementCommand,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

/**
 * Delete a single item by its partition key using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @returns The response from the ExecuteStatementCommand
 */
export const deleteItemByPartitionKey = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `DELETE FROM "${tableName}" WHERE ${partitionKeyName} = ?`,
    Parameters: [partitionKeyValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item deleted successfully");
    return data;
  } catch (err) {
    console.error("Error deleting item:", err);
    throw err;
  }
};

/**
 * Delete an item by its composite key (partition key + sort key) using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param sortKeyName - The name of the sort key attribute
 * @param sortKeyValue - The value of the sort key
 * @returns The response from the ExecuteStatementCommand
 */
export const deleteItemByCompositeKey = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  sortKeyName: string,
  sortKeyValue: string | number
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `DELETE FROM "${tableName}" WHERE ${partitionKeyName} = ? AND ${sortKeyName} = ?`,
    Parameters: [partitionKeyValue, sortKeyValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item deleted successfully");
    return data;
  } catch (err) {
    console.error("Error deleting item:", err);
    throw err;
  }
};

/**
 * Delete an item with a condition to ensure the delete only happens if a condition is met.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param conditionAttribute - The attribute to check in the condition
 * @param conditionValue - The value to compare against in the condition
 * @returns The response from the ExecuteStatementCommand
 */
export const deleteItemWithCondition = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  conditionAttribute: string,
  conditionValue: any
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `DELETE FROM "${tableName}" WHERE ${partitionKeyName} = ? AND ${conditionAttribute} = ?`,
    Parameters: [partitionKeyValue, conditionValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item deleted with condition successfully");
    return data;
  } catch (err) {
    console.error("Error deleting item with condition:", err);
    throw err;
  }
};

/**
 * Batch delete multiple items using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param keys - Array of objects containing key information
 * @returns The response from the BatchExecuteStatementCommand
 */
export const batchDeleteItems = async (
  tableName: string,
  keys: Array<{
    partitionKeyName: string;
    partitionKeyValue: string | number;
    sortKeyName?: string;
    sortKeyValue?: string | number;
  }>
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  // Create statements for each delete
  const statements = keys.map((key) => {
    if (key.sortKeyName && key.sortKeyValue !== undefined) {
      return {
        Statement: `DELETE FROM "${tableName}" WHERE ${key.partitionKeyName} = ? AND ${key.sortKeyName} = ?`,
        Parameters: [key.partitionKeyValue, key.sortKeyValue],
      };
    } else {
      return {
        Statement: `DELETE FROM "${tableName}" WHERE ${key.partitionKeyName} = ?`,
        Parameters: [key.partitionKeyValue],
      };
    }
  });

  const params = {
    Statements: statements,
  };

  try {
    const data = await docClient.send(new BatchExecuteStatementCommand(params));
    console.log("Items batch deleted successfully");
    return data;
  } catch (err) {
    console.error("Error batch deleting items:", err);
    throw err;
  }
};

/**
 * Delete multiple items that match a filter condition.
 * Note: This performs a scan operation which can be expensive on large tables.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param filterAttribute - The attribute to filter on
 * @param filterValue - The value to filter by
 * @returns The response from the ExecuteStatementCommand
 */
export const deleteItemsByFilter = async (
  tableName: string,
  filterAttribute: string,
  filterValue: any
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `DELETE FROM "${tableName}" WHERE ${filterAttribute} = ?`,
    Parameters: [filterValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Items deleted by filter successfully");
    return data;
  } catch (err) {
    console.error("Error deleting items by filter:", err);
    throw err;
  }
};

/**
 * Example usage showing how to delete items with different index types
 */
export const deleteExamples = async () => {
  // Delete an item by partition key (simple primary key)
  await deleteItemByPartitionKey("UsersTable", "userId", "user123");

  // Delete an item by composite key (partition key + sort key)
  await deleteItemByCompositeKey(
    "OrdersTable",
    "orderId",
    "order456",
    "productId",
    "prod789"
  );

  // Delete with a condition
  await deleteItemWithCondition(
    "UsersTable",
    "userId",
    "user789",
    "userStatus",
    "inactive"
  );

  // Batch delete multiple items
  await batchDeleteItems("UsersTable", [
    { partitionKeyName: "userId", partitionKeyValue: "user234" },
    { partitionKeyName: "userId", partitionKeyValue: "user345" },
  ]);

  // Batch delete items with composite keys
  await batchDeleteItems("OrdersTable", [
    {
      partitionKeyName: "orderId",
      partitionKeyValue: "order567",
      sortKeyName: "productId",
      sortKeyValue: "prod123",
    },
    {
      partitionKeyName: "orderId",
      partitionKeyValue: "order678",
      sortKeyName: "productId",
      sortKeyValue: "prod456",
    },
  ]);

  // Delete items by filter (use with caution)
  await deleteItemsByFilter("UsersTable", "userStatus", "deleted");
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchExecuteStatementCommand)
  + [ExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ExecuteStatementCommand)

### 使用 PartiQL INSERT 插入資料
<a name="dynamodb_PartiQLInsert_javascript_3_topic"></a>

下列程式碼範例示範如何使用 PartiQL INSERT 陳述式插入資料。

**適用於 JavaScript (v3) 的 SDK**  
搭配 PartiQL INSERT 陳述式將項目插入 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
/**
 * This example demonstrates how to insert items into a DynamoDB table using PartiQL.
 * It shows different ways to insert documents with various index types.
 */
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  DynamoDBDocumentClient,
  ExecuteStatementCommand,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

/**
 * Insert a single item into a DynamoDB table using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param item - The item to insert
 * @returns The response from the ExecuteStatementCommand
 */
export const insertItem = async (tableName: string, item: Record<string, any>) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  // Convert the item to a string representation for PartiQL
  const itemString = JSON.stringify(item).replace(/"([^"]+)":/g, '$1:');

  const params = {
    Statement: `INSERT INTO "${tableName}" VALUE ${itemString}`,
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item inserted successfully");
    return data;
  } catch (err) {
    console.error("Error inserting item:", err);
    throw err;
  }
};

/**
 * Insert multiple items into a DynamoDB table using PartiQL batch operation.
 * This is more efficient than inserting items one by one.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param items - Array of items to insert
 * @returns The response from the BatchExecuteStatementCommand
 */
export const batchInsertItems = async (tableName: string, items: Record<string, any>[]) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  // Create statements for each item
  const statements = items.map((item) => {
    const itemString = JSON.stringify(item).replace(/"([^"]+)":/g, '$1:');
    return {
      Statement: `INSERT INTO "${tableName}" VALUE ${itemString}`,
    };
  });

  const params = {
    Statements: statements,
  };

  try {
    const data = await docClient.send(new BatchExecuteStatementCommand(params));
    console.log("Items inserted successfully");
    return data;
  } catch (err) {
    console.error("Error batch inserting items:", err);
    throw err;
  }
};

/**
 * Insert an item with a condition to prevent overwriting existing items.
 * This is useful for ensuring you don't accidentally overwrite data.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param item - The item to insert
 * @param partitionKeyName - The name of the partition key attribute
 * @returns The response from the ExecuteStatementCommand
 */
export const insertItemWithCondition = async (
  tableName: string,
  item: Record<string, any>,
  partitionKeyName: string
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const itemString = JSON.stringify(item).replace(/"([^"]+)":/g, '$1:');
  const partitionKeyValue = JSON.stringify(item[partitionKeyName]);

  const params = {
    Statement: `INSERT INTO "${tableName}" VALUE ${itemString} WHERE attribute_not_exists(${partitionKeyName})`,
    Parameters: [{ S: partitionKeyValue }],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item inserted with condition successfully");
    return data;
  } catch (err) {
    console.error("Error inserting item with condition:", err);
    throw err;
  }
};

/**
 * Example usage showing how to insert items with different index types
 */
export const insertExamples = async () => {
  // Example table with a simple primary key (just partition key)
  const simpleKeyItem = {
    userId: "user123",
    name: "John Doe",
    email: "john@example.com",
  };
  await insertItem("UsersTable", simpleKeyItem);

  // Example table with composite key (partition key + sort key)
  const compositeKeyItem = {
    orderId: "order456",
    productId: "prod789",
    quantity: 2,
    price: 29.99,
  };
  await insertItem("OrdersTable", compositeKeyItem);

  // Example with Global Secondary Index (GSI)
  // The GSI might be on the email attribute
  const gsiItem = {
    userId: "user789",
    email: "jane@example.com",
    name: "Jane Smith",
    userType: "premium",  // This could be part of a GSI
  };
  await insertItem("UsersTable", gsiItem);

  // Example with Local Secondary Index (LSI)
  // LSI uses the same partition key but different sort key
  const lsiItem = {
    orderId: "order567",  // Partition key
    productId: "prod123", // Sort key for the table
    orderDate: "2023-11-15", // Potential sort key for an LSI
    quantity: 1,
    price: 19.99,
  };
  await insertItem("OrdersTable", lsiItem);

  // Batch insert example with multiple items
  const batchItems = [
    {
      userId: "user234",
      name: "Alice Johnson",
      email: "alice@example.com",
    },
    {
      userId: "user345",
      name: "Bob Williams",
      email: "bob@example.com",
    },
  ];
  await batchInsertItems("UsersTable", batchItems);
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchExecuteStatementCommand)
  + [ExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ExecuteStatementCommand)

### 從瀏覽器調用 Lambda 函式
<a name="cross_LambdaForBrowser_javascript_3_topic"></a>

下列程式碼範例示範如何從瀏覽器叫用 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 您可以建立瀏覽器型應用程式，該應用程式使用 AWS Lambda 函數來更新具有使用者選擇的 Amazon DynamoDB 資料表。此應用程式使用 適用於 JavaScript 的 AWS SDK v3。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-for-browser) 上的完整範例。  

**此範例中使用的服務**
+ DynamoDB
+ Lambda

### 執行進階查詢操作
<a name="dynamodb_Scenario_AdvancedQueryTechniques_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中執行進階查詢操作。
+ 使用各種篩選和條件技術查詢資料表。
+ 為大型結果集實作分頁。
+ 使用全域次要索引作為替代存取模式。
+ 根據應用程式需求套用一致性控制。

**適用於 JavaScript (v3) 的 SDK**  
使用 進行強式一致讀取的查詢 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table with configurable read consistency
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {boolean} useConsistentRead - Whether to use strongly consistent reads
 * @returns {Promise<Object>} - The query response
 */
async function queryWithConsistentRead(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  useConsistentRead = false
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue",
      ExpressionAttributeNames: {
        "#pk": partitionKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue }
      },
      ConsistentRead: useConsistentRead
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with consistent read: ${error}`);
    throw error;
  }
}
```
搭配 使用全域次要索引進行查詢 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table using the primary key
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} userId - The user ID to query by (partition key)
 * @returns {Promise<Object>} - The query response
 */
async function queryTable(
  config,
  tableName,
  userId
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input for the base table
    const input = {
      TableName: tableName,
      KeyConditionExpression: "user_id = :userId",
      ExpressionAttributeValues: {
        ":userId": { S: userId }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying table: ${error}`);
    throw error;
  }
}

/**
 * Queries a DynamoDB Global Secondary Index (GSI)
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} indexName - The name of the GSI to query
 * @param {string} gameId - The game ID to query by (GSI partition key)
 * @returns {Promise<Object>} - The query response
 */
async function queryGSI(
  config,
  tableName,
  indexName,
  gameId
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input for the GSI
    const input = {
      TableName: tableName,
      IndexName: indexName,
      KeyConditionExpression: "game_id = :gameId",
      ExpressionAttributeValues: {
        ":gameId": { S: gameId }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying GSI: ${error}`);
    throw error;
  }
}
```
使用 查詢分頁 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example demonstrating how to handle large query result sets in DynamoDB using pagination
 * 
 * This example shows:
 * - How to use pagination to handle large result sets
 * - How to use LastEvaluatedKey to retrieve the next page of results
 * - How to construct subsequent query requests using ExclusiveStartKey
 */
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table with pagination to handle large result sets
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {number} pageSize - Number of items per page
 * @returns {Promise<Array>} - All items from the query
 */
async function queryWithPagination(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  pageSize = 25
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);
    
    // Initialize variables for pagination
    let lastEvaluatedKey = undefined;
    const allItems = [];
    let pageCount = 0;
    
    // Loop until all pages are retrieved
    do {
      // Construct the query input
      const input = {
        TableName: tableName,
        KeyConditionExpression: "#pk = :pkValue",
        Limit: pageSize,
        ExpressionAttributeNames: {
          "#pk": partitionKeyName
        },
        ExpressionAttributeValues: {
          ":pkValue": { S: partitionKeyValue }
        }
      };
      
      // Add ExclusiveStartKey if we have a LastEvaluatedKey from a previous query
      if (lastEvaluatedKey) {
        input.ExclusiveStartKey = lastEvaluatedKey;
      }
      
      // Execute the query
      const command = new QueryCommand(input);
      const response = await client.send(command);
      
      // Process the current page of results
      pageCount++;
      console.log(`Processing page ${pageCount} with ${response.Items.length} items`);
      
      // Add the items from this page to our collection
      if (response.Items && response.Items.length > 0) {
        allItems.push(...response.Items);
      }
      
      // Get the LastEvaluatedKey for the next page
      lastEvaluatedKey = response.LastEvaluatedKey;
      
    } while (lastEvaluatedKey); // Continue until there are no more pages
    
    console.log(`Query complete. Retrieved ${allItems.length} items in ${pageCount} pages.`);
    return allItems;
  } catch (error) {
    console.error(`Error querying with pagination: ${error}`);
    throw error;
  }
}

/**
 * Example usage:
 * 
 * // Query all items in the "AWS DynamoDB" forum with pagination
 * const allItems = await queryWithPagination(
 *   { region: "us-west-2" },
 *   "ForumThreads",
 *   "ForumName",
 *   "AWS DynamoDB",
 *   25 // 25 items per page
 * );
 * 
 * console.log(`Total items retrieved: ${allItems.length}`);
 * 
 * // Notes on pagination:
 * // - LastEvaluatedKey contains the primary key of the last evaluated item
 * // - When LastEvaluatedKey is undefined/null, there are no more items to retrieve
 * // - ExclusiveStartKey tells DynamoDB where to start the next page
 * // - Pagination helps manage memory usage for large result sets
 * // - Each page requires a separate network request to DynamoDB
 */

module.exports = { queryWithPagination };
```
使用 查詢複雜篩選條件 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table with a complex filter expression
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {number|string} minViews - Minimum number of views for filtering
 * @param {number|string} minReplies - Minimum number of replies for filtering
 * @param {string} requiredTag - Tag that must be present in the item's tags set
 * @returns {Promise<Object>} - The query response
 */
async function queryWithComplexFilter(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  minViews,
  minReplies,
  requiredTag
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue",
      FilterExpression: "views >= :minViews AND replies >= :minReplies AND contains(tags, :tag)",
      ExpressionAttributeNames: {
        "#pk": partitionKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue },
        ":minViews": { N: minViews.toString() },
        ":minReplies": { N: minReplies.toString() },
        ":tag": { S: requiredTag }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with complex filter: ${error}`);
    throw error;
  }
}
```
使用 查詢動態建構的篩選條件表達式 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

async function queryWithDynamicFilter(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  sortKeyName,
  sortKeyValue,
  filterParams = {}
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Initialize filter expression components
    let filterExpressions = [];
    const expressionAttributeValues = {
      ":pkValue": { S: partitionKeyValue },
      ":skValue": { S: sortKeyValue }
    };
    const expressionAttributeNames = {
      "#pk": partitionKeyName,
      "#sk": sortKeyName
    };

    // Add status filter if provided
    if (filterParams.status) {
      filterExpressions.push("status = :status");
      expressionAttributeValues[":status"] = { S: filterParams.status };
    }

    // Add minimum views filter if provided
    if (filterParams.minViews !== undefined) {
      filterExpressions.push("views >= :minViews");
      expressionAttributeValues[":minViews"] = { N: filterParams.minViews.toString() };
    }

    // Add author filter if provided
    if (filterParams.author) {
      filterExpressions.push("author = :author");
      expressionAttributeValues[":author"] = { S: filterParams.author };
    }

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue AND #sk = :skValue"
    };

    // Add filter expression if any filters were provided
    if (filterExpressions.length > 0) {
      input.FilterExpression = filterExpressions.join(" AND ");
    }

    // Add expression attribute names and values
    input.ExpressionAttributeNames = expressionAttributeNames;
    input.ExpressionAttributeValues = expressionAttributeValues;

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with dynamic filter: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 執行清單操作
<a name="dynamodb_Scenario_ListOperations_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中執行清單操作。
+ 將元素新增至清單屬性。
+ 從清單屬性中移除元素。
+ 依索引更新清單中的特定元素。
+ 使用清單附加和清單索引函數。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範清單操作 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  GetCommand,
  PutCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Append elements to a list attribute.
 * 
 * This function demonstrates how to use the list_append function to add elements
 * to the end of a list.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName - The name of the list attribute
 * @param {Array} values - The values to append to the list
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function appendToList(
  config,
  tableName,
  key,
  listName,
  values
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using list_append
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${listName} = list_append(if_not_exists(${listName}, :empty_list), :values)`,
    ExpressionAttributeValues: {
      ":empty_list": [],
      ":values": values
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Prepend elements to a list attribute.
 * 
 * This function demonstrates how to use the list_append function to add elements
 * to the beginning of a list.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName - The name of the list attribute
 * @param {Array} values - The values to prepend to the list
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function prependToList(
  config,
  tableName,
  key,
  listName,
  values
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using list_append
  // Note: To prepend, we put the new values first in the list_append function
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${listName} = list_append(:values, if_not_exists(${listName}, :empty_list))`,
    ExpressionAttributeValues: {
      ":empty_list": [],
      ":values": values
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Update a specific element in a list by index.
 * 
 * This function demonstrates how to update a specific element in a list
 * using the index notation.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName - The name of the list attribute
 * @param {number} index - The index of the element to update
 * @param {any} value - The new value for the element
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateListElement(
  config,
  tableName,
  key,
  listName,
  index,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using index notation
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${listName}[${index}] = :value`,
    ExpressionAttributeValues: {
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Remove an element from a list by index.
 * 
 * This function demonstrates how to remove a specific element from a list
 * using the REMOVE action with index notation.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName - The name of the list attribute
 * @param {number} index - The index of the element to remove
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function removeListElement(
  config,
  tableName,
  key,
  listName,
  index
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using REMOVE with index notation
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `REMOVE ${listName}[${index}]`,
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Concatenate two lists.
 * 
 * This function demonstrates how to concatenate two lists using the list_append function.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName1 - The name of the first list attribute
 * @param {string} listName2 - The name of the second list attribute
 * @param {string} resultListName - The name of the attribute to store the concatenated list
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function concatenateLists(
  config,
  tableName,
  key,
  listName1,
  listName2,
  resultListName
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using list_append
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${resultListName} = list_append(if_not_exists(${listName1}, :empty_list), if_not_exists(${listName2}, :empty_list))`,
    ExpressionAttributeValues: {
      ":empty_list": []
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Create a nested list structure.
 * 
 * This function demonstrates how to create and work with nested lists.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName - The name of the list attribute
 * @param {Array} nestedLists - An array of arrays to create a nested list structure
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function createNestedList(
  config,
  tableName,
  key,
  listName,
  nestedLists
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters to create a nested list
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${listName} = :nested_lists`,
    ExpressionAttributeValues: {
      ":nested_lists": nestedLists
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Update an element in a nested list.
 * 
 * This function demonstrates how to update an element in a nested list
 * using multiple index notations.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} listName - The name of the list attribute
 * @param {number} outerIndex - The index in the outer list
 * @param {number} innerIndex - The index in the inner list
 * @param {any} value - The new value for the element
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateNestedListElement(
  config,
  tableName,
  key,
  listName,
  outerIndex,
  innerIndex,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using multiple index notations
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${listName}[${outerIndex}][${innerIndex}] = :value`,
    ExpressionAttributeValues: {
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Get the current value of an item.
 * 
 * Helper function to retrieve the current value of an item.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to get
 * @returns {Promise<Object|null>} - The item or null if not found
 */
async function getItem(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the get parameters
  const params = {
    TableName: tableName,
    Key: key
  };
  
  // Perform the get operation
  const response = await docClient.send(new GetCommand(params));
  
  // Return the item if it exists, otherwise null
  return response.Item || null;
}
```
清單操作的範例使用方式 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to work with lists in DynamoDB.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "UserProfiles";
  const key = { UserId: "U12345" };
  
  console.log("Demonstrating list operations in DynamoDB");
  
  try {
    // Example 1: Append elements to a list
    console.log("\nExample 1: Appending elements to a list");
    const response1 = await appendToList(
      config,
      tableName,
      key,
      "RecentSearches",
      ["laptop", "headphones", "monitor"]
    );
    
    console.log("Appended to list:", response1.Attributes);
    
    // Example 2: Prepend elements to a list
    console.log("\nExample 2: Prepending elements to a list");
    const response2 = await prependToList(
      config,
      tableName,
      key,
      "RecentSearches",
      ["keyboard", "mouse"]
    );
    
    console.log("Prepended to list:", response2.Attributes);
    
    // Get the current state of the item
    let currentItem = await getItem(config, tableName, key);
    console.log("\nCurrent state of RecentSearches:", currentItem?.RecentSearches);
    
    // Example 3: Update a specific element in a list
    console.log("\nExample 3: Updating a specific element in a list");
    const response3 = await updateListElement(
      config,
      tableName,
      key,
      "RecentSearches",
      0, // Update the first element
      "mechanical keyboard" // New value
    );
    
    console.log("Updated list element:", response3.Attributes);
    
    // Example 4: Remove an element from a list
    console.log("\nExample 4: Removing an element from a list");
    const response4 = await removeListElement(
      config,
      tableName,
      key,
      "RecentSearches",
      2 // Remove the third element
    );
    
    console.log("List after removing element:", response4.Attributes);
    
    // Example 5: Create and concatenate lists
    console.log("\nExample 5: Creating and concatenating lists");
    
    // First, create two separate lists
    await updateWithMultipleActions(
      config,
      tableName,
      key,
      "SET WishList = :wishlist, SavedItems = :saveditems",
      null,
      {
        ":wishlist": ["gaming laptop", "wireless earbuds"],
        ":saveditems": ["smartphone", "tablet"]
      }
    );
    
    // Then, concatenate them
    const response5 = await concatenateLists(
      config,
      tableName,
      key,
      "WishList",
      "SavedItems",
      "AllItems"
    );
    
    console.log("Concatenated lists:", response5.Attributes);
    
    // Example 6: Create a nested list structure
    console.log("\nExample 6: Creating a nested list structure");
    const response6 = await createNestedList(
      config,
      tableName,
      key,
      "Categories",
      [
        ["Electronics", "Computers", "Accessories"],
        ["Books", "Magazines", "E-books"],
        ["Clothing", "Shoes", "Watches"]
      ]
    );
    
    console.log("Created nested list:", response6.Attributes);
    
    // Example 7: Update an element in a nested list
    console.log("\nExample 7: Updating an element in a nested list");
    const response7 = await updateNestedListElement(
      config,
      tableName,
      key,
      "Categories",
      0, // First inner list
      1, // Second element in that list
      "Laptops" // New value
    );
    
    console.log("Updated nested list element:", response7.Attributes);
    
    // Get the final state of the item
    currentItem = await getItem(config, tableName, key);
    console.log("\nFinal state of the item:", JSON.stringify(currentItem, null, 2));
    
    // Explain list operations
    console.log("\nKey points about list operations in DynamoDB:");
    console.log("1. Use list_append to add elements to a list");
    console.log("2. To append elements, use list_append(existingList, newElements)");
    console.log("3. To prepend elements, use list_append(newElements, existingList)");
    console.log("4. Use if_not_exists to handle cases where the list might not exist yet");
    console.log("5. Use index notation (list[0]) to access or update specific elements");
    console.log("6. Use REMOVE with index notation to remove elements from a list");
    console.log("7. Lists can contain elements of different types");
    console.log("8. Lists can be nested (lists of lists)");
    console.log("9. Use multiple index notations (list[0][1]) to access nested list elements");
    
  } catch (error) {
    console.error("Error:", error);
  }
}

/**
 * Helper function for the examples.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} updateExpression - The update expression
 * @param {Object} expressionAttributeNames - Expression attribute name placeholders
 * @param {Object} expressionAttributeValues - Expression attribute value placeholders
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateWithMultipleActions(
  config,
  tableName,
  key,
  updateExpression,
  expressionAttributeNames,
  expressionAttributeValues
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Prepare the update parameters
  const updateParams = {
    TableName: tableName,
    Key: key,
    UpdateExpression: updateExpression,
    ReturnValues: "UPDATED_NEW"
  };
  
  // Add expression attribute names if provided
  if (expressionAttributeNames) {
    updateParams.ExpressionAttributeNames = expressionAttributeNames;
  }
  
  // Add expression attribute values if provided
  if (expressionAttributeValues) {
    updateParams.ExpressionAttributeValues = expressionAttributeValues;
  }
  
  // Execute the update
  const response = await docClient.send(new UpdateCommand(updateParams));
  
  return response;
}
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### 執行映射操作
<a name="dynamodb_Scenario_MapOperations_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中執行映射操作。
+ 在映射結構中新增和更新巢狀屬性。
+ 從映射中移除特定欄位。
+ 使用深度巢狀映射屬性。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範地圖操作 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of updating map attributes in DynamoDB.
 * 
 * This module demonstrates how to update map attributes that may not exist,
 * how to update nested attributes, and how to handle various map update scenarios.
 */

const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  GetCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Update a map attribute safely, handling the case where the map might not exist.
 * 
 * This function demonstrates using the if_not_exists function to safely update
 * a map attribute that might not exist yet.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} mapName - The name of the map attribute
 * @param {string} mapKey - The key within the map to update
 * @param {any} value - The value to set
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateMapAttributeSafe(
  config,
  tableName,
  key,
  mapName,
  mapKey,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using SET with if_not_exists
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${mapName}.${mapKey} = :value`,
    ExpressionAttributeValues: {
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  try {
    // Perform the update operation
    const response = await docClient.send(new UpdateCommand(params));
    return response;
  } catch (error) {
    // If the error is because the map doesn't exist, create it
    if (error.name === "ValidationException" && 
        error.message.includes("The document path provided in the update expression is invalid")) {
      
      // Create the map with the specified key-value pair
      const createParams = {
        TableName: tableName,
        Key: key,
        UpdateExpression: `SET ${mapName} = :map`,
        ExpressionAttributeValues: {
          ":map": { [mapKey]: value }
        },
        ReturnValues: "UPDATED_NEW"
      };
      
      return await docClient.send(new UpdateCommand(createParams));
    }
    
    // Re-throw other errors
    throw error;
  }
}

/**
 * Update a map attribute using the if_not_exists function.
 * 
 * This function demonstrates a more elegant approach using if_not_exists
 * to handle the case where the map doesn't exist yet.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} mapName - The name of the map attribute
 * @param {string} mapKey - The key within the map to update
 * @param {any} value - The value to set
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateMapAttributeWithIfNotExists(
  config,
  tableName,
  key,
  mapName,
  mapKey,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using SET with if_not_exists
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${mapName} = if_not_exists(${mapName}, :emptyMap), ${mapName}.${mapKey} = :value`,
    ExpressionAttributeValues: {
      ":emptyMap": {},
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Add a value to a deeply nested map, creating parent maps if they don't exist.
 * 
 * This function demonstrates how to update a deeply nested attribute,
 * creating any parent maps that don't exist along the way.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string[]} path - The path to the nested attribute as an array of keys
 * @param {any} value - The value to set
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function addToNestedMap(
  config,
  tableName,
  key,
  path,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Build the update expression and expression attribute values
  let updateExpression = "SET";
  const expressionAttributeValues = {};
  
  // For each level in the path, create a map if it doesn't exist
  for (let i = 0; i < path.length; i++) {
    const currentPath = path.slice(0, i + 1).join(".");
    const parentPath = i > 0 ? path.slice(0, i).join(".") : null;
    
    if (parentPath) {
      updateExpression += ` ${parentPath} = if_not_exists(${parentPath}, :emptyMap${i}),`;
      expressionAttributeValues[`:emptyMap${i}`] = {};
    }
  }
  
  // Set the final value
  const fullPath = path.join(".");
  updateExpression += ` ${fullPath} = :value`;
  expressionAttributeValues[":value"] = value;
  
  // Define the update parameters
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: updateExpression,
    ExpressionAttributeValues: expressionAttributeValues,
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Update multiple fields in a map attribute in a single operation.
 * 
 * This function demonstrates how to update multiple fields in a map
 * in a single DynamoDB operation.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} mapName - The name of the map attribute
 * @param {Object} updates - Object containing key-value pairs to update
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateMultipleMapFields(
  config,
  tableName,
  key,
  mapName,
  updates
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Build the update expression and expression attribute values
  let updateExpression = `SET ${mapName} = if_not_exists(${mapName}, :emptyMap)`;
  const expressionAttributeValues = {
    ":emptyMap": {}
  };
  
  // Add each update to the expression
  Object.entries(updates).forEach(([field, value], index) => {
    updateExpression += `, ${mapName}.${field} = :val${index}`;
    expressionAttributeValues[`:val${index}`] = value;
  });
  
  // Define the update parameters
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: updateExpression,
    ExpressionAttributeValues: expressionAttributeValues,
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Get the current value of an item.
 * 
 * Helper function to retrieve the current value of an item.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to get
 * @returns {Promise<Object|null>} - The item or null if not found
 */
async function getItem(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the get parameters
  const params = {
    TableName: tableName,
    Key: key
  };
  
  // Perform the get operation
  const response = await docClient.send(new GetCommand(params));
  
  // Return the item if it exists, otherwise null
  return response.Item || null;
}

/**
 * Example of how to use the map attribute update functions.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Users";
  const key = { UserId: "U12345" };
  
  console.log("Demonstrating different approaches to update map attributes in DynamoDB");
  
  try {
    // Example 1: Update a map attribute that might not exist (two-step approach)
    console.log("\nExample 1: Updating a map attribute that might not exist (two-step approach)");
    const response1 = await updateMapAttributeSafe(
      config,
      tableName,
      key,
      "Preferences",
      "Theme",
      "Dark"
    );
    
    console.log("Updated preferences:", response1.Attributes);
    
    // Example 2: Update a map attribute using if_not_exists (elegant approach)
    console.log("\nExample 2: Updating a map attribute using if_not_exists (elegant approach)");
    const response2 = await updateMapAttributeWithIfNotExists(
      config,
      tableName,
      key,
      "Settings",
      "NotificationsEnabled",
      true
    );
    
    console.log("Updated settings:", response2.Attributes);
    
    // Example 3: Update a deeply nested attribute
    console.log("\nExample 3: Updating a deeply nested attribute");
    const response3 = await addToNestedMap(
      config,
      tableName,
      key,
      ["Profile", "Address", "City"],
      "Seattle"
    );
    
    console.log("Updated nested attribute:", response3.Attributes);
    
    // Example 4: Update multiple fields in a map
    console.log("\nExample 4: Updating multiple fields in a map");
    const response4 = await updateMultipleMapFields(
      config,
      tableName,
      key,
      "ContactInfo",
      {
        Email: "user@example.com",
        Phone: "555-123-4567",
        PreferredContact: "Email"
      }
    );
    
    console.log("Updated multiple fields:", response4.Attributes);
    
    // Get the final state of the item
    console.log("\nFinal state of the item:");
    const item = await getItem(config, tableName, key);
    console.log(JSON.stringify(item, null, 2));
    
    // Explain the benefits of different approaches
    console.log("\nKey points about updating map attributes:");
    console.log("1. Use if_not_exists to handle maps that might not exist");
    console.log("2. Multiple updates can be combined in a single operation");
    console.log("3. Deeply nested attributes require creating parent maps");
    console.log("4. DynamoDB expressions are atomic - the entire update succeeds or fails");
    console.log("5. Using a single operation is more efficient than multiple separate updates");
    
  } catch (error) {
    console.error("Error:", error);
  }
}

// Export the functions
module.exports = {
  updateMapAttributeSafe,
  updateMapAttributeWithIfNotExists,
  addToNestedMap,
  updateMultipleMapFields,
  getItem,
  exampleUsage
};

// Run the example if this file is executed directly
if (require.main === module) {
  exampleUsage();
}
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### 執行集合操作
<a name="dynamodb_Scenario_SetOperations_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中執行集合操作。
+ 將元素新增至集合屬性。
+ 從集合屬性中移除元素。
+ 搭配集合使用 ADD 和 DELETE 操作。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範設定操作 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  GetCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Add elements to a set attribute.
 * 
 * This function demonstrates using the ADD operation to add elements to a set.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} setName - The name of the set attribute
 * @param {Array} values - The values to add to the set
 * @param {string} setType - The type of set ('string', 'number', or 'binary')
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function addToSet(
  config,
  tableName,
  key,
  setName,
  values,
  setType = 'string'
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create the appropriate set type
  let setValues;
  if (setType === 'string') {
    setValues = new Set(values.map(String));
  } else if (setType === 'number') {
    setValues = new Set(values.map(Number));
  } else if (setType === 'binary') {
    setValues = new Set(values);
  } else {
    throw new Error(`Unsupported set type: ${setType}`);
  }
  
  // Define the update parameters using ADD
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `ADD ${setName} :values`,
    ExpressionAttributeValues: {
      ":values": setValues
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Remove elements from a set attribute.
 * 
 * This function demonstrates using the DELETE operation to remove elements from a set.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} setName - The name of the set attribute
 * @param {Array} values - The values to remove from the set
 * @param {string} setType - The type of set ('string', 'number', or 'binary')
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function removeFromSet(
  config,
  tableName,
  key,
  setName,
  values,
  setType = 'string'
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create the appropriate set type
  let setValues;
  if (setType === 'string') {
    setValues = new Set(values.map(String));
  } else if (setType === 'number') {
    setValues = new Set(values.map(Number));
  } else if (setType === 'binary') {
    setValues = new Set(values);
  } else {
    throw new Error(`Unsupported set type: ${setType}`);
  }
  
  // Define the update parameters using DELETE
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `DELETE ${setName} :values`,
    ExpressionAttributeValues: {
      ":values": setValues
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Create a new set attribute with initial values.
 * 
 * This function demonstrates using the SET operation to create a new set attribute.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} setName - The name of the set attribute
 * @param {Array} values - The initial values for the set
 * @param {string} setType - The type of set ('string', 'number', or 'binary')
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function createSet(
  config,
  tableName,
  key,
  setName,
  values,
  setType = 'string'
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create the appropriate set type
  let setValues;
  if (setType === 'string') {
    setValues = new Set(values.map(String));
  } else if (setType === 'number') {
    setValues = new Set(values.map(Number));
  } else if (setType === 'binary') {
    setValues = new Set(values);
  } else {
    throw new Error(`Unsupported set type: ${setType}`);
  }
  
  // Define the update parameters using SET
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${setName} = :values`,
    ExpressionAttributeValues: {
      ":values": setValues
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Replace an entire set attribute with a new set of values.
 * 
 * This function demonstrates using the SET operation to replace an entire set.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} setName - The name of the set attribute
 * @param {Array} values - The new values for the set
 * @param {string} setType - The type of set ('string', 'number', or 'binary')
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function replaceSet(
  config,
  tableName,
  key,
  setName,
  values,
  setType = 'string'
) {
  // This is the same as createSet, but included for clarity of intent
  return await createSet(config, tableName, key, setName, values, setType);
}

/**
 * Remove the last element from a set and handle the empty set case.
 * 
 * This function demonstrates what happens when you delete the last element of a set.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} setName - The name of the set attribute
 * @returns {Promise<Object>} - The result of the operation
 */
async function removeLastElementFromSet(
  config,
  tableName,
  key,
  setName
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // First, get the current item to check the set
  const currentItem = await getItem(config, tableName, key);
  
  // Check if the set exists and has elements
  if (!currentItem || !currentItem[setName] || currentItem[setName].size === 0) {
    return {
      success: false,
      message: "Set doesn't exist or is already empty",
      item: currentItem
    };
  }
  
  // Get the set values
  const setValues = Array.from(currentItem[setName]);
  
  // If there's only one element left, remove the attribute entirely
  if (setValues.length === 1) {
    // Define the update parameters to remove the attribute
    const params = {
      TableName: tableName,
      Key: key,
      UpdateExpression: `REMOVE ${setName}`,
      ReturnValues: "UPDATED_NEW"
    };
    
    // Perform the update operation
    await docClient.send(new UpdateCommand(params));
    
    return {
      success: true,
      message: "Last element removed, attribute has been deleted",
      removedValue: setValues[0]
    };
  } else {
    // Otherwise, remove just the last element
    // Create a set with just the last element
    const lastElement = setValues[setValues.length - 1];
    const setType = typeof lastElement === 'number' ? 'number' : 'string';
    
    // Remove the last element
    const response = await removeFromSet(
      config,
      tableName,
      key,
      setName,
      [lastElement],
      setType
    );
    
    return {
      success: true,
      message: "Last element removed, set still contains elements",
      removedValue: lastElement,
      remainingSet: response.Attributes[setName]
    };
  }
}

/**
 * Get the current value of an item.
 * 
 * Helper function to retrieve the current value of an item.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to get
 * @returns {Promise<Object|null>} - The item or null if not found
 */
async function getItem(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the get parameters
  const params = {
    TableName: tableName,
    Key: key
  };
  
  // Perform the get operation
  const response = await docClient.send(new GetCommand(params));
  
  // Return the item if it exists, otherwise null
  return response.Item || null;
}
```
使用 設定操作的範例用量 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to work with sets in DynamoDB.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Users";
  const key = { UserId: "U12345" };
  
  console.log("Demonstrating set operations in DynamoDB");
  
  try {
    // Example 1: Create a string set
    console.log("\nExample 1: Creating a string set");
    const response1 = await createSet(
      config,
      tableName,
      key,
      "Interests",
      ["Reading", "Hiking", "Cooking"],
      "string"
    );
    
    console.log("Created set:", response1.Attributes);
    
    // Example 2: Add elements to a set
    console.log("\nExample 2: Adding elements to a set");
    const response2 = await addToSet(
      config,
      tableName,
      key,
      "Interests",
      ["Photography", "Travel"],
      "string"
    );
    
    console.log("Updated set after adding elements:", response2.Attributes);
    
    // Example 3: Remove elements from a set
    console.log("\nExample 3: Removing elements from a set");
    const response3 = await removeFromSet(
      config,
      tableName,
      key,
      "Interests",
      ["Cooking"],
      "string"
    );
    
    console.log("Updated set after removing elements:", response3.Attributes);
    
    // Example 4: Create a number set
    console.log("\nExample 4: Creating a number set");
    const response4 = await createSet(
      config,
      tableName,
      key,
      "FavoriteNumbers",
      [7, 42, 99],
      "number"
    );
    
    console.log("Created number set:", response4.Attributes);
    
    // Example 5: Replace an entire set
    console.log("\nExample 5: Replacing an entire set");
    const response5 = await replaceSet(
      config,
      tableName,
      key,
      "Interests",
      ["Gaming", "Movies", "Music"],
      "string"
    );
    
    console.log("Replaced set:", response5.Attributes);
    
    // Example 6: Remove the last element from a set
    console.log("\nExample 6: Removing the last element from a set");
    
    // First, create a set with just one element
    await createSet(
      config,
      tableName,
      { UserId: "U67890" },
      "Tags",
      ["LastTag"],
      "string"
    );
    
    // Then, remove the last element
    const response6 = await removeLastElementFromSet(
      config,
      tableName,
      { UserId: "U67890" },
      "Tags"
    );
    
    console.log(response6.message);
    console.log("Removed value:", response6.removedValue);
    
    // Get the final state of the items
    console.log("\nFinal state of the items:");
    const item1 = await getItem(config, tableName, key);
    console.log("User U12345:", JSON.stringify(item1, null, 2));
    
    const item2 = await getItem(config, tableName, { UserId: "U67890" });
    console.log("User U67890:", JSON.stringify(item2, null, 2));
    
    // Explain set operations
    console.log("\nKey points about set operations in DynamoDB:");
    console.log("1. Use ADD to add elements to a set (duplicates are automatically removed)");
    console.log("2. Use DELETE to remove elements from a set");
    console.log("3. Use SET to create a new set or replace an existing one");
    console.log("4. DynamoDB supports three types of sets: string sets, number sets, and binary sets");
    console.log("5. When you delete the last element from a set, the attribute remains as an empty set");
    console.log("6. To remove an empty set, use the REMOVE operation");
    console.log("7. Sets automatically maintain unique values (no duplicates)");
    console.log("8. You cannot mix data types within a set");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### 使用多批 PartiQL 陳述式查詢資料表
<a name="dynamodb_Scenario_PartiQLBatch_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 透過執行多個 SELECT 陳述式取得一批項目。
+ 透過執行多個 INSERT 陳述式新增一批項目。
+ 透過執行多個 UPDATE 陳述式更新一批項目。
+ 透過執行多個 DELETE 陳述式刪除一批項目。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
執行批次 PartiQL 陳述式。  

```
import {
  BillingMode,
  CreateTableCommand,
  DeleteTableCommand,
  DescribeTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";
import {
  DynamoDBDocumentClient,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";
import { ScenarioInput } from "@aws-doc-sdk-examples/lib/scenario";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

const log = (msg) => console.log(`[SCENARIO] ${msg}`);
const tableName = "Cities";

export const main = async (confirmAll = false) => {
  /**
   * Delete table if it exists.
   */
  try {
    await client.send(new DescribeTableCommand({ TableName: tableName }));
    // If no error was thrown, the table exists.
    const input = new ScenarioInput(
      "deleteTable",
      `A table named ${tableName} already exists. If you choose not to delete
this table, the scenario cannot continue. Delete it?`,
      { type: "confirm", confirmAll },
    );
    const deleteTable = await input.handle({}, { confirmAll });
    if (deleteTable) {
      await client.send(new DeleteTableCommand({ tableName }));
    } else {
      console.warn(
        "Scenario could not run. Either delete ${tableName} or provide a unique table name.",
      );
      return;
    }
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "ResourceNotFoundException"
    ) {
      // Do nothing. This means the table is not there.
    } else {
      throw caught;
    }
  }

  /**
   * Create a table.
   */

  log("Creating a table.");
  const createTableCommand = new CreateTableCommand({
    TableName: tableName,
    // This example performs a large write to the database.
    // Set the billing mode to PAY_PER_REQUEST to
    // avoid throttling the large write.
    BillingMode: BillingMode.PAY_PER_REQUEST,
    // Define the attributes that are necessary for the key schema.
    AttributeDefinitions: [
      {
        AttributeName: "name",
        // 'S' is a data type descriptor that represents a number type.
        // For a list of all data type descriptors, see the following link.
        // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.LowLevelAPI.html#Programming.LowLevelAPI.DataTypeDescriptors
        AttributeType: "S",
      },
    ],
    // The KeySchema defines the primary key. The primary key can be
    // a partition key, or a combination of a partition key and a sort key.
    // Key schema design is important. For more info, see
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/best-practices.html
    KeySchema: [{ AttributeName: "name", KeyType: "HASH" }],
  });
  await client.send(createTableCommand);
  log(`Table created: ${tableName}.`);

  /**
   * Wait until the table is active.
   */

  // This polls with DescribeTableCommand until the requested table is 'ACTIVE'.
  // You can't write to a table before it's active.
  log("Waiting for the table to be active.");
  await waitUntilTableExists({ client }, { TableName: tableName });
  log("Table active.");

  /**
   * Insert items.
   */

  log("Inserting cities into the table.");
  const addItemsStatementCommand = new BatchExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.insert.html
    Statements: [
      {
        Statement: `INSERT INTO ${tableName} value {'name':?, 'population':?}`,
        Parameters: ["Alachua", 10712],
      },
      {
        Statement: `INSERT INTO ${tableName} value {'name':?, 'population':?}`,
        Parameters: ["High Springs", 6415],
      },
    ],
  });
  await docClient.send(addItemsStatementCommand);
  log("Cities inserted.");

  /**
   * Select items.
   */

  log("Selecting cities from the table.");
  const selectItemsStatementCommand = new BatchExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.select.html
    Statements: [
      {
        Statement: `SELECT * FROM ${tableName} WHERE name=?`,
        Parameters: ["Alachua"],
      },
      {
        Statement: `SELECT * FROM ${tableName} WHERE name=?`,
        Parameters: ["High Springs"],
      },
    ],
  });
  const selectItemResponse = await docClient.send(selectItemsStatementCommand);
  log(
    `Got cities: ${selectItemResponse.Responses.map(
      (r) => `${r.Item.name} (${r.Item.population})`,
    ).join(", ")}`,
  );

  /**
   * Update items.
   */

  log("Modifying the populations.");
  const updateItemStatementCommand = new BatchExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.update.html
    Statements: [
      {
        Statement: `UPDATE ${tableName} SET population=? WHERE name=?`,
        Parameters: [10, "Alachua"],
      },
      {
        Statement: `UPDATE ${tableName} SET population=? WHERE name=?`,
        Parameters: [5, "High Springs"],
      },
    ],
  });
  await docClient.send(updateItemStatementCommand);
  log("Updated cities.");

  /**
   * Delete the items.
   */

  log("Deleting the cities.");
  const deleteItemStatementCommand = new BatchExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.delete.html
    Statements: [
      {
        Statement: `DELETE FROM ${tableName} WHERE name=?`,
        Parameters: ["Alachua"],
      },
      {
        Statement: `DELETE FROM ${tableName} WHERE name=?`,
        Parameters: ["High Springs"],
      },
    ],
  });
  await docClient.send(deleteItemStatementCommand);
  log("Cities deleted.");

  /**
   * Delete the table.
   */

  log("Deleting the table.");
  const deleteTableCommand = new DeleteTableCommand({ TableName: tableName });
  await client.send(deleteTableCommand);
  log("Table deleted.");
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [BatchExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchExecuteStatementCommand)。

### 使用 PartiQL 查詢資料表
<a name="dynamodb_Scenario_PartiQLSingle_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 透過執行 SELECT 陳述式取得項目。
+ 透過執行 INSERT 陳述式新增項目。
+ 透過執行 UPDATE 陳述式更新項目。
+ 透過執行 DELETE 陳述式刪除項目。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples)中設定和執行。
執行單一 PartiQL 陳述式。  

```
import {
  BillingMode,
  CreateTableCommand,
  DeleteTableCommand,
  DescribeTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";
import {
  DynamoDBDocumentClient,
  ExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";
import { ScenarioInput } from "@aws-doc-sdk-examples/lib/scenario";

const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);

const log = (msg) => console.log(`[SCENARIO] ${msg}`);
const tableName = "SingleOriginCoffees";

export const main = async (confirmAll = false) => {
  /**
   * Delete table if it exists.
   */
  try {
    await client.send(new DescribeTableCommand({ TableName: tableName }));
    // If no error was thrown, the table exists.
    const input = new ScenarioInput(
      "deleteTable",
      `A table named ${tableName} already exists. If you choose not to delete
this table, the scenario cannot continue. Delete it?`,
      { type: "confirm", confirmAll },
    );
    const deleteTable = await input.handle({});
    if (deleteTable) {
      await client.send(new DeleteTableCommand({ tableName }));
    } else {
      console.warn(
        "Scenario could not run. Either delete ${tableName} or provide a unique table name.",
      );
      return;
    }
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "ResourceNotFoundException"
    ) {
      // Do nothing. This means the table is not there.
    } else {
      throw caught;
    }
  }

  /**
   * Create a table.
   */

  log("Creating a table.");
  const createTableCommand = new CreateTableCommand({
    TableName: tableName,
    // This example performs a large write to the database.
    // Set the billing mode to PAY_PER_REQUEST to
    // avoid throttling the large write.
    BillingMode: BillingMode.PAY_PER_REQUEST,
    // Define the attributes that are necessary for the key schema.
    AttributeDefinitions: [
      {
        AttributeName: "varietal",
        // 'S' is a data type descriptor that represents a number type.
        // For a list of all data type descriptors, see the following link.
        // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.LowLevelAPI.html#Programming.LowLevelAPI.DataTypeDescriptors
        AttributeType: "S",
      },
    ],
    // The KeySchema defines the primary key. The primary key can be
    // a partition key, or a combination of a partition key and a sort key.
    // Key schema design is important. For more info, see
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/best-practices.html
    KeySchema: [{ AttributeName: "varietal", KeyType: "HASH" }],
  });
  await client.send(createTableCommand);
  log(`Table created: ${tableName}.`);

  /**
   * Wait until the table is active.
   */

  // This polls with DescribeTableCommand until the requested table is 'ACTIVE'.
  // You can't write to a table before it's active.
  log("Waiting for the table to be active.");
  await waitUntilTableExists({ client }, { TableName: tableName });
  log("Table active.");

  /**
   * Insert an item.
   */

  log("Inserting a coffee into the table.");
  const addItemStatementCommand = new ExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.insert.html
    Statement: `INSERT INTO ${tableName} value {'varietal':?, 'profile':?}`,
    Parameters: ["arabica", ["chocolate", "floral"]],
  });
  await client.send(addItemStatementCommand);
  log("Coffee inserted.");

  /**
   * Select an item.
   */

  log("Selecting the coffee from the table.");
  const selectItemStatementCommand = new ExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.select.html
    Statement: `SELECT * FROM ${tableName} WHERE varietal=?`,
    Parameters: ["arabica"],
  });
  const selectItemResponse = await docClient.send(selectItemStatementCommand);
  log(`Got coffee: ${JSON.stringify(selectItemResponse.Items[0])}`);

  /**
   * Update the item.
   */

  log("Add a flavor profile to the coffee.");
  const updateItemStatementCommand = new ExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.update.html
    Statement: `UPDATE ${tableName} SET profile=list_append(profile, ?) WHERE varietal=?`,
    Parameters: [["fruity"], "arabica"],
  });
  await client.send(updateItemStatementCommand);
  log("Updated coffee");

  /**
   * Delete the item.
   */

  log("Deleting the coffee.");
  const deleteItemStatementCommand = new ExecuteStatementCommand({
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ql-reference.delete.html
    Statement: `DELETE FROM ${tableName} WHERE varietal=?`,
    Parameters: ["arabica"],
  });
  await docClient.send(deleteItemStatementCommand);
  log("Coffee deleted.");

  /**
   * Delete the table.
   */

  log("Deleting the table.");
  const deleteTableCommand = new DeleteTableCommand({ TableName: tableName });
  await client.send(deleteTableCommand);
  log("Table deleted.");
};
```
+  如需 API 的詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ExecuteStatementCommand)。

### 使用全域次要索引查詢資料表
<a name="dynamodb_Scenarios_QueryWithGlobalSecondaryIndex_javascript_3_topic"></a>

下列程式碼範例示範如何使用全域次要索引查詢資料表。
+ 使用其主索引鍵查詢 DynamoDB 資料表。
+ 查詢全域次要索引 (GSI) 是否有替代存取模式。
+ 比較資料表查詢和 GSI 查詢。

**適用於 JavaScript (v3) 的 SDK**  
使用主索引鍵查詢 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table using the primary key
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} userId - The user ID to query by (partition key)
 * @returns {Promise<Object>} - The query response
 */
async function queryTable(
  config,
  tableName,
  userId
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input for the base table
    const input = {
      TableName: tableName,
      KeyConditionExpression: "user_id = :userId",
      ExpressionAttributeValues: {
        ":userId": { S: userId }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying table: ${error}`);
    throw error;
  }
}
```
使用 查詢 DynamoDB 全域次要索引 (GSI) 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Queries a DynamoDB Global Secondary Index (GSI)
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} indexName - The name of the GSI to query
 * @param {string} gameId - The game ID to query by (GSI partition key)
 * @returns {Promise<Object>} - The query response
 */
async function queryGSI(
  config,
  tableName,
  indexName,
  gameId
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input for the GSI
    const input = {
      TableName: tableName,
      IndexName: indexName,
      KeyConditionExpression: "game_id = :gameId",
      ExpressionAttributeValues: {
        ":gameId": { S: gameId }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying GSI: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 使用 begins\$1with 條件查詢資料表
<a name="dynamodb_Scenarios_QueryWithBeginsWithCondition_javascript_3_topic"></a>

下列程式碼範例示範如何使用 begins\$1with 條件查詢資料表。
+ 在索引鍵條件表達式中使用 begins\$1with 函數。
+ 根據排序索引鍵中的字首模式篩選項目。

**適用於 JavaScript (v3) 的 SDK**  
在具有 適用於 JavaScript 的 AWS SDK的排序索引鍵上使用 begins\$1with 條件來查詢 DynamoDB 資料表。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table for items where the sort key begins with a specific prefix
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {string} sortKeyName - The name of the sort key
 * @param {string} prefix - The prefix to match at the beginning of the sort key
 * @returns {Promise<Object>} - The query response
 */
async function queryWithBeginsWith(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  sortKeyName,
  prefix
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue AND begins_with(#sk, :prefix)",
      ExpressionAttributeNames: {
        "#pk": partitionKeyName,
        "#sk": sortKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue },
        ":prefix": { S: prefix }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with begins_with: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 使用日期範圍查詢資料表
<a name="dynamodb_Scenarios_QueryWithDateRange_javascript_3_topic"></a>

下列程式碼範例示範如何使用排序索引鍵中的日期範圍查詢資料表。
+ 查詢特定日期範圍內的項目。
+ 在日期格式的排序索引鍵上使用比較運算子。

**適用於 JavaScript (v3) 的 SDK**  
查詢 DynamoDB 資料表，尋找日期範圍內的項目 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table for items within a specific date range on the sort key
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {string} sortKeyName - The name of the sort key (must be a date/time attribute)
 * @param {Date} startDate - The start date for the range query
 * @param {Date} endDate - The end date for the range query
 * @returns {Promise<Object>} - The query response
 */
async function queryByDateRangeOnSortKey(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  sortKeyName,
  startDate,
  endDate
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Format dates as ISO strings for DynamoDB
    const formattedStartDate = startDate.toISOString();
    const formattedEndDate = endDate.toISOString();

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: '#pk = :pkValue AND #sk BETWEEN :startDate AND :endDate',
      ExpressionAttributeNames: {
        "#pk": partitionKeyName,
        "#sk": sortKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue },
        ":startDate": { S: formattedStartDate },
        ":endDate": { S: formattedEndDate }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying by date range on sort key: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 使用複雜篩選條件表達式查詢資料表
<a name="dynamodb_Scenarios_QueryWithComplexFilter_javascript_3_topic"></a>

下列程式碼範例示範如何使用複雜篩選條件表達式查詢資料表。
+ 將複雜的篩選條件表達式套用至查詢結果。
+ 使用邏輯運算子結合多重條件。
+ 根據非索引鍵屬性篩選項目。

**適用於 JavaScript (v3) 的 SDK**  
使用 查詢具有複雜篩選條件表達式的 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table with a complex filter expression
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {number|string} minViews - Minimum number of views for filtering
 * @param {number|string} minReplies - Minimum number of replies for filtering
 * @param {string} requiredTag - Tag that must be present in the item's tags set
 * @returns {Promise<Object>} - The query response
 */
async function queryWithComplexFilter(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  minViews,
  minReplies,
  requiredTag
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue",
      FilterExpression: "views >= :minViews AND replies >= :minReplies AND contains(tags, :tag)",
      ExpressionAttributeNames: {
        "#pk": partitionKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue },
        ":minViews": { N: minViews.toString() },
        ":minReplies": { N: minReplies.toString() },
        ":tag": { S: requiredTag }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with complex filter: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 使用動態篩選條件表達式查詢資料表
<a name="dynamodb_Scenarios_QueryWithDynamicFilter_javascript_3_topic"></a>

下列程式碼範例示範如何使用動態篩選條件表達式查詢資料表。
+ 在執行時期動態建置篩選條件表達式。
+ 根據使用者輸入或應用程式狀態建構篩選條件。
+ 依條件新增或移除篩選條件。

**適用於 JavaScript (v3) 的 SDK**  
使用 查詢具有動態建構篩選條件表達式的 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

async function queryWithDynamicFilter(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  sortKeyName,
  sortKeyValue,
  filterParams = {}
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Initialize filter expression components
    let filterExpressions = [];
    const expressionAttributeValues = {
      ":pkValue": { S: partitionKeyValue },
      ":skValue": { S: sortKeyValue }
    };
    const expressionAttributeNames = {
      "#pk": partitionKeyName,
      "#sk": sortKeyName
    };

    // Add status filter if provided
    if (filterParams.status) {
      filterExpressions.push("status = :status");
      expressionAttributeValues[":status"] = { S: filterParams.status };
    }

    // Add minimum views filter if provided
    if (filterParams.minViews !== undefined) {
      filterExpressions.push("views >= :minViews");
      expressionAttributeValues[":minViews"] = { N: filterParams.minViews.toString() };
    }

    // Add author filter if provided
    if (filterParams.author) {
      filterExpressions.push("author = :author");
      expressionAttributeValues[":author"] = { S: filterParams.author };
    }

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue AND #sk = :skValue"
    };

    // Add filter expression if any filters were provided
    if (filterExpressions.length > 0) {
      input.FilterExpression = filterExpressions.join(" AND ");
    }

    // Add expression attribute names and values
    input.ExpressionAttributeNames = expressionAttributeNames;
    input.ExpressionAttributeValues = expressionAttributeValues;

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with dynamic filter: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 查詢具有巢狀屬性的資料表
<a name="dynamodb_Scenarios_QueryWithNestedAttributes_javascript_3_topic"></a>

下列程式碼範例示範如何查詢具有巢狀屬性的資料表。
+ 依 DynamoDB 項目中的巢狀屬性存取和篩選。
+ 使用文件路徑表達式來參考巢狀元素。

**適用於 JavaScript (v3) 的 SDK**  
使用 查詢具有巢狀屬性的 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table filtering on a nested attribute
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} productId - The product ID to query by (partition key)
 * @param {string} category - The category to filter by (nested attribute)
 * @returns {Promise<Object>} - The query response
 */
async function queryWithNestedAttribute(
  config,
  tableName,
  productId,
  category
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "product_id = :productId",
      FilterExpression: "details.category = :category",
      ExpressionAttributeValues: {
        ":productId": { S: productId },
        ":category": { S: category }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with nested attribute: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 查詢具有分頁的資料表
<a name="dynamodb_Scenarios_QueryWithPagination_javascript_3_topic"></a>

下列程式碼範例示範如何查詢具有分頁的資料表。
+ 實作 DynamoDB 查詢結果的分頁。
+ 使用 LastEvaluatedKey 擷取後續頁面。
+ 使用限制參數控制每頁的項目數量。

**適用於 JavaScript (v3) 的 SDK**  
使用 查詢具有分頁的 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example demonstrating how to handle large query result sets in DynamoDB using pagination
 * 
 * This example shows:
 * - How to use pagination to handle large result sets
 * - How to use LastEvaluatedKey to retrieve the next page of results
 * - How to construct subsequent query requests using ExclusiveStartKey
 */
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table with pagination to handle large result sets
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {number} pageSize - Number of items per page
 * @returns {Promise<Array>} - All items from the query
 */
async function queryWithPagination(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  pageSize = 25
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);
    
    // Initialize variables for pagination
    let lastEvaluatedKey = undefined;
    const allItems = [];
    let pageCount = 0;
    
    // Loop until all pages are retrieved
    do {
      // Construct the query input
      const input = {
        TableName: tableName,
        KeyConditionExpression: "#pk = :pkValue",
        Limit: pageSize,
        ExpressionAttributeNames: {
          "#pk": partitionKeyName
        },
        ExpressionAttributeValues: {
          ":pkValue": { S: partitionKeyValue }
        }
      };
      
      // Add ExclusiveStartKey if we have a LastEvaluatedKey from a previous query
      if (lastEvaluatedKey) {
        input.ExclusiveStartKey = lastEvaluatedKey;
      }
      
      // Execute the query
      const command = new QueryCommand(input);
      const response = await client.send(command);
      
      // Process the current page of results
      pageCount++;
      console.log(`Processing page ${pageCount} with ${response.Items.length} items`);
      
      // Add the items from this page to our collection
      if (response.Items && response.Items.length > 0) {
        allItems.push(...response.Items);
      }
      
      // Get the LastEvaluatedKey for the next page
      lastEvaluatedKey = response.LastEvaluatedKey;
      
    } while (lastEvaluatedKey); // Continue until there are no more pages
    
    console.log(`Query complete. Retrieved ${allItems.length} items in ${pageCount} pages.`);
    return allItems;
  } catch (error) {
    console.error(`Error querying with pagination: ${error}`);
    throw error;
  }
}

/**
 * Example usage:
 * 
 * // Query all items in the "AWS DynamoDB" forum with pagination
 * const allItems = await queryWithPagination(
 *   { region: "us-west-2" },
 *   "ForumThreads",
 *   "ForumName",
 *   "AWS DynamoDB",
 *   25 // 25 items per page
 * );
 * 
 * console.log(`Total items retrieved: ${allItems.length}`);
 * 
 * // Notes on pagination:
 * // - LastEvaluatedKey contains the primary key of the last evaluated item
 * // - When LastEvaluatedKey is undefined/null, there are no more items to retrieve
 * // - ExclusiveStartKey tells DynamoDB where to start the next page
 * // - Pagination helps manage memory usage for large result sets
 * // - Each page requires a separate network request to DynamoDB
 */

module.exports = { queryWithPagination };
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 查詢具有高度一致性讀取的資料表
<a name="dynamodb_Scenarios_QueryWithStronglyConsistentReads_javascript_3_topic"></a>

下列程式碼範例示範如何查詢具有高度一致性讀取的資料表。
+ 設定 DynamoDB 查詢的一致性層級。
+ 使用高度一致性讀取以取得最新的資料。
+ 了解最終一致性與強式一致性之間的權衡。

**適用於 JavaScript (v3) 的 SDK**  
使用 查詢具有可設定讀取一致性的 DynamoDB 資料表 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table with configurable read consistency
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {boolean} useConsistentRead - Whether to use strongly consistent reads
 * @returns {Promise<Object>} - The query response
 */
async function queryWithConsistentRead(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  useConsistentRead = false
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: "#pk = :pkValue",
      ExpressionAttributeNames: {
        "#pk": partitionKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue }
      },
      ConsistentRead: useConsistentRead
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying with consistent read: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 使用 PartiQL SELECT 查詢資料
<a name="dynamodb_PartiQLSelect_javascript_3_topic"></a>

下列程式碼範例示範如何使用 PartiQL SELECT 陳述式查詢資料。

**適用於 JavaScript (v3) 的 SDK**  
搭配 PartiQL SELECT 陳述式從 DynamoDB 資料表查詢項目 適用於 JavaScript 的 AWS SDK。  

```
/**
 * This example demonstrates how to query items from a DynamoDB table using PartiQL.
 * It shows different ways to select data with various index types.
 */
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  DynamoDBDocumentClient,
  ExecuteStatementCommand,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

/**
 * Select all items from a DynamoDB table using PartiQL.
 * Note: This should be used with caution on large tables.
 * 
 * @param tableName - The name of the DynamoDB table
 * @returns The response from the ExecuteStatementCommand
 */
export const selectAllItems = async (tableName: string) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `SELECT * FROM "${tableName}"`,
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Items retrieved successfully");
    return data;
  } catch (err) {
    console.error("Error retrieving items:", err);
    throw err;
  }
};

/**
 * Select an item by its primary key using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @returns The response from the ExecuteStatementCommand
 */
export const selectItemByPartitionKey = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `SELECT * FROM "${tableName}" WHERE ${partitionKeyName} = ?`,
    Parameters: [partitionKeyValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item retrieved successfully");
    return data;
  } catch (err) {
    console.error("Error retrieving item:", err);
    throw err;
  }
};

/**
 * Select an item by its composite key (partition key + sort key) using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param sortKeyName - The name of the sort key attribute
 * @param sortKeyValue - The value of the sort key
 * @returns The response from the ExecuteStatementCommand
 */
export const selectItemByCompositeKey = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  sortKeyName: string,
  sortKeyValue: string | number
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `SELECT * FROM "${tableName}" WHERE ${partitionKeyName} = ? AND ${sortKeyName} = ?`,
    Parameters: [partitionKeyValue, sortKeyValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item retrieved successfully");
    return data;
  } catch (err) {
    console.error("Error retrieving item:", err);
    throw err;
  }
};

/**
 * Select items using a filter condition with PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param filterAttribute - The attribute to filter on
 * @param filterValue - The value to filter by
 * @returns The response from the ExecuteStatementCommand
 */
export const selectItemsWithFilter = async (
  tableName: string,
  filterAttribute: string,
  filterValue: string | number
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `SELECT * FROM "${tableName}" WHERE ${filterAttribute} = ?`,
    Parameters: [filterValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Items retrieved successfully");
    return data;
  } catch (err) {
    console.error("Error retrieving items:", err);
    throw err;
  }
};

/**
 * Select items using a begins_with function for prefix matching.
 * This is useful for querying hierarchical data.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param attributeName - The attribute to check for prefix
 * @param prefix - The prefix to match
 * @returns The response from the ExecuteStatementCommand
 */
export const selectItemsByPrefix = async (
  tableName: string,
  attributeName: string,
  prefix: string
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `SELECT * FROM "${tableName}" WHERE begins_with(${attributeName}, ?)`,
    Parameters: [prefix],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Items retrieved successfully");
    return data;
  } catch (err) {
    console.error("Error retrieving items:", err);
    throw err;
  }
};

/**
 * Select items using a between condition for range queries.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param attributeName - The attribute to check for range
 * @param startValue - The start value of the range
 * @param endValue - The end value of the range
 * @returns The response from the ExecuteStatementCommand
 */
export const selectItemsByRange = async (
  tableName: string,
  attributeName: string,
  startValue: number | string,
  endValue: number | string
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `SELECT * FROM "${tableName}" WHERE ${attributeName} BETWEEN ? AND ?`,
    Parameters: [startValue, endValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Items retrieved successfully");
    return data;
  } catch (err) {
    console.error("Error retrieving items:", err);
    throw err;
  }
};

/**
 * Example usage showing how to select items with different index types
 */
export const selectExamples = async () => {
  // Select all items from a table (use with caution on large tables)
  await selectAllItems("UsersTable");

  // Select by partition key (simple primary key)
  await selectItemByPartitionKey("UsersTable", "userId", "user123");

  // Select by composite key (partition key + sort key)
  await selectItemByCompositeKey("OrdersTable", "orderId", "order456", "productId", "prod789");

  // Select with a filter condition (can use any attribute)
  await selectItemsWithFilter("UsersTable", "userType", "premium");

  // Select items with a prefix (useful for hierarchical data)
  await selectItemsByPrefix("ProductsTable", "category", "electronics");

  // Select items within a range (useful for numeric or date ranges)
  await selectItemsByRange("OrdersTable", "orderDate", "2023-01-01", "2023-12-31");
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchExecuteStatementCommand)
  + [ExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ExecuteStatementCommand)

### 查詢 TTL 項目
<a name="dynamodb_QueryFilteredTTL_javascript_3_topic"></a>

下列程式碼範例示範如何查詢 TTL 項目。

**適用於 JavaScript (v3) 的 SDK**  
查詢篩選表達式，以使用 在 DynamoDB 資料表中收集 TTL 項目 適用於 JavaScript 的 AWS SDK。  

```
import { DynamoDBClient, QueryCommand } from "@aws-sdk/client-dynamodb";
import { marshall, unmarshall } from "@aws-sdk/util-dynamodb";

export const queryFiltered = async (tableName, primaryKey, region = 'us-east-1') => {
    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    const currentTime = Math.floor(Date.now() / 1000);

    const params = {
        TableName: tableName,
        KeyConditionExpression: "#pk = :pk",
        FilterExpression: "#ea > :ea",
        ExpressionAttributeNames: {
            "#pk": "primaryKey",
            "#ea": "expireAt"
        },
        ExpressionAttributeValues: marshall({
            ":pk": primaryKey,
            ":ea": currentTime
        })
    };

    try {
        const { Items } = await client.send(new QueryCommand(params));
        Items.forEach(item => {
            console.log(unmarshall(item))
        });
        return Items;
    } catch (err) {
        console.error(`Error querying items: ${err}`);
        throw err;
    }
}

// Example usage (commented out for testing)
// queryFiltered('your-table-name', 'your-partition-key-value');
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 使用日期和時間模式查詢資料表
<a name="dynamodb_Scenario_DateTimeQueries_javascript_3_topic"></a>

下列程式碼範例示範如何使用日期和時間模式查詢資料表。
+ 在 DynamoDB 中儲存和查詢日期/時間值。
+ 使用排序索引鍵實作日期範圍查詢。
+ 格式化日期字串以進行有效的查詢。

**適用於 JavaScript (v3) 的 SDK**  
使用排序索引鍵中的日期範圍進行查詢 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table for items within a specific date range on the sort key
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {string} sortKeyName - The name of the sort key (must be a date/time attribute)
 * @param {Date} startDate - The start date for the range query
 * @param {Date} endDate - The end date for the range query
 * @returns {Promise<Object>} - The query response
 */
async function queryByDateRangeOnSortKey(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  sortKeyName,
  startDate,
  endDate
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Format dates as ISO strings for DynamoDB
    const formattedStartDate = startDate.toISOString();
    const formattedEndDate = endDate.toISOString();

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: '#pk = :pkValue AND #sk BETWEEN :startDate AND :endDate',
      ExpressionAttributeNames: {
        "#pk": partitionKeyName,
        "#sk": sortKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue },
        ":startDate": { S: formattedStartDate },
        ":endDate": { S: formattedEndDate }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying by date range on sort key: ${error}`);
    throw error;
  }
}
```
搭配 使用日期時間變數進行查詢 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient, QueryCommand } = require("@aws-sdk/client-dynamodb");

/**
 * Queries a DynamoDB table for items within a specific date range
 * 
 * @param {Object} config - AWS SDK configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key
 * @param {string} partitionKeyValue - The value of the partition key
 * @param {string} dateKeyName - The name of the date attribute to filter on
 * @param {Date} startDate - The start date for the range query
 * @param {Date} endDate - The end date for the range query
 * @returns {Promise<Object>} - The query response
 */
async function queryByDateRange(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  dateKeyName,
  startDate,
  endDate
) {
  try {
    // Create DynamoDB client
    const client = new DynamoDBClient(config);

    // Format dates as ISO strings for DynamoDB
    const formattedStartDate = startDate.toISOString();
    const formattedEndDate = endDate.toISOString();

    // Construct the query input
    const input = {
      TableName: tableName,
      KeyConditionExpression: `#pk = :pkValue AND #dateAttr BETWEEN :startDate AND :endDate`,
      ExpressionAttributeNames: {
        "#pk": partitionKeyName,
        "#dateAttr": dateKeyName
      },
      ExpressionAttributeValues: {
        ":pkValue": { S: partitionKeyValue },
        ":startDate": { S: formattedStartDate },
        ":endDate": { S: formattedEndDate }
      }
    };

    // Execute the query
    const command = new QueryCommand(input);
    return await client.send(command);
  } catch (error) {
    console.error(`Error querying by date range: ${error}`);
    throw error;
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)。

### 了解更新表達式順序
<a name="dynamodb_Scenario_UpdateExpressionOrder_javascript_3_topic"></a>

下列程式碼範例示範如何了解更新表達式順序。
+ 了解 DynamoDB 如何處理更新表達式。
+ 了解更新表達式中的操作順序。
+ 了解表達式評估以避免意外結果。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範更新表達式順序 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  GetCommand,
  PutCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Update an item with multiple actions in a single update expression.
 * 
 * This function demonstrates how to use multiple actions in a single update expression
 * and how DynamoDB processes these actions.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The primary key of the item to update
 * @param {string} updateExpression - The update expression with multiple actions
 * @param {Object} [expressionAttributeNames] - Expression attribute name placeholders
 * @param {Object} [expressionAttributeValues] - Expression attribute value placeholders
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateWithMultipleActions(
  config,
  tableName,
  key,
  updateExpression,
  expressionAttributeNames,
  expressionAttributeValues
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Prepare the update parameters
  const updateParams = {
    TableName: tableName,
    Key: key,
    UpdateExpression: updateExpression,
    ReturnValues: "UPDATED_NEW"
  };
  
  // Add expression attribute names if provided
  if (expressionAttributeNames) {
    updateParams.ExpressionAttributeNames = expressionAttributeNames;
  }
  
  // Add expression attribute values if provided
  if (expressionAttributeValues) {
    updateParams.ExpressionAttributeValues = expressionAttributeValues;
  }
  
  // Execute the update
  const response = await docClient.send(new UpdateCommand(updateParams));
  
  return response;
}

/**
 * Demonstrate that variables hold copies of existing values before modifications.
 * 
 * This function creates an item with initial values, then updates it with an expression
 * that uses the values of attributes before they are modified in the same expression.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The primary key of the item to create and update
 * @returns {Promise<Object>} - A dictionary containing the results of the demonstration
 */
async function demonstrateValueCopying(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Step 1: Create an item with initial values
  const initialItem = { ...key, a: 1, b: 2, c: 3 };
  
  await docClient.send(new PutCommand({
    TableName: tableName,
    Item: initialItem
  }));
  
  // Step 2: Get the item to verify initial state
  const responseBefore = await docClient.send(new GetCommand({
    TableName: tableName,
    Key: key
  }));
  
  const itemBefore = responseBefore.Item || {};
  
  // Step 3: Update the item with an expression that uses values before they are modified
  // This expression removes 'a', then sets 'b' to the value of 'a', and 'c' to the value of 'b'
  const updateResponse = await docClient.send(new UpdateCommand({
    TableName: tableName,
    Key: key,
    UpdateExpression: "REMOVE a SET b = a, c = b",
    ReturnValues: "UPDATED_NEW"
  }));
  
  // Step 4: Get the item to verify final state
  const responseAfter = await docClient.send(new GetCommand({
    TableName: tableName,
    Key: key
  }));
  
  const itemAfter = responseAfter.Item || {};
  
  // Return the results
  return {
    initialState: itemBefore,
    updateResponse: updateResponse,
    finalState: itemAfter
  };
}

/**
 * Demonstrate the order in which different action types are processed.
 * 
 * This function creates an item with initial values, then updates it with an expression
 * that includes multiple action types (SET, REMOVE, ADD, DELETE) to show the order
 * in which they are processed.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The primary key of the item to create and update
 * @returns {Promise<Object>} - A dictionary containing the results of the demonstration
 */
async function demonstrateActionOrder(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Step 1: Create an item with initial values
  const initialItem = {
    ...key,
    counter: 10,
    set_attr: new Set(["A", "B", "C"]),
    to_remove: "This will be removed",
    to_modify: "Original value"
  };
  
  await docClient.send(new PutCommand({
    TableName: tableName,
    Item: initialItem
  }));
  
  // Step 2: Get the item to verify initial state
  const responseBefore = await docClient.send(new GetCommand({
    TableName: tableName,
    Key: key
  }));
  
  const itemBefore = responseBefore.Item || {};
  
  // Step 3: Update the item with multiple action types
  // The actions will be processed in this order: REMOVE, SET, ADD, DELETE
  const updateResponse = await docClient.send(new UpdateCommand({
    TableName: tableName,
    Key: key,
    UpdateExpression: "REMOVE to_remove SET to_modify = :new_value ADD counter :increment DELETE set_attr :elements",
    ExpressionAttributeValues: {
      ":new_value": "Updated value",
      ":increment": 5,
      ":elements": new Set(["B"])
    },
    ReturnValues: "UPDATED_NEW"
  }));
  
  // Step 4: Get the item to verify final state
  const responseAfter = await docClient.send(new GetCommand({
    TableName: tableName,
    Key: key
  }));
  
  const itemAfter = responseAfter.Item || {};
  
  // Return the results
  return {
    initialState: itemBefore,
    updateResponse: updateResponse,
    finalState: itemAfter
  };
}

/**
 * Update multiple attributes with a single SET action.
 * 
 * This function demonstrates how to update multiple attributes in a single SET action,
 * which is more efficient than using multiple separate update operations.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The primary key of the item to update
 * @param {Object} attributes - The attributes to update and their new values
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateWithMultipleSetActions(
  config,
  tableName,
  key,
  attributes
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Build the update expression and expression attribute values
  let updateExpression = "SET ";
  const expressionAttributeValues = {};
  
  // Add each attribute to the update expression
  Object.entries(attributes).forEach(([attrName, attrValue], index) => {
    const valuePlaceholder = `:val${index}`;
    
    if (index > 0) {
      updateExpression += ", ";
    }
    updateExpression += `${attrName} = ${valuePlaceholder}`;
    
    expressionAttributeValues[valuePlaceholder] = attrValue;
  });
  
  // Execute the update
  const response = await docClient.send(new UpdateCommand({
    TableName: tableName,
    Key: key,
    UpdateExpression: updateExpression,
    ExpressionAttributeValues: expressionAttributeValues,
    ReturnValues: "UPDATED_NEW"
  }));
  
  return response;
}

/**
 * Update an attribute with a value from another attribute or a default value.
 * 
 * This function demonstrates how to use if_not_exists to conditionally copy a value
 * from one attribute to another, or use a default value if the source doesn't exist.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The primary key of the item to update
 * @param {string} sourceAttribute - The attribute to copy the value from
 * @param {string} targetAttribute - The attribute to update
 * @param {any} defaultValue - The default value to use if the source attribute doesn't exist
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateWithConditionalValueCopying(
  config,
  tableName,
  key,
  sourceAttribute,
  targetAttribute,
  defaultValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Use if_not_exists to conditionally copy the value
  const response = await docClient.send(new UpdateCommand({
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${targetAttribute} = if_not_exists(${sourceAttribute}, :default)`,
    ExpressionAttributeValues: {
      ":default": defaultValue
    },
    ReturnValues: "UPDATED_NEW"
  }));
  
  return response;
}

/**
 * Demonstrate complex update expressions with multiple operations on the same attribute.
 * 
 * This function shows how DynamoDB processes multiple operations on the same attribute
 * in a single update expression.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The primary key of the item to create and update
 * @returns {Promise<Object>} - A dictionary containing the results of the demonstration
 */
async function demonstrateMultipleOperationsOnSameAttribute(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Step 1: Create an item with initial values
  const initialItem = {
    ...key,
    counter: 10,
    list_attr: [1, 2, 3],
    map_attr: {
      nested1: "value1",
      nested2: "value2"
    }
  };
  
  await docClient.send(new PutCommand({
    TableName: tableName,
    Item: initialItem
  }));
  
  // Step 2: Get the item to verify initial state
  const responseBefore = await docClient.send(new GetCommand({
    TableName: tableName,
    Key: key
  }));
  
  const itemBefore = responseBefore.Item || {};
  
  // Step 3: Update the item with multiple operations on the same attributes
  const updateResponse = await docClient.send(new UpdateCommand({
    TableName: tableName,
    Key: key,
    UpdateExpression: `
      SET counter = counter + :inc1,
          counter = counter + :inc2,
          map_attr.nested1 = :new_val1,
          map_attr.nested3 = :new_val3,
          list_attr[0] = list_attr[1],
          list_attr[1] = list_attr[2]
    `,
    ExpressionAttributeValues: {
      ":inc1": 5,
      ":inc2": 3,
      ":new_val1": "updated_value1",
      ":new_val3": "new_value3"
    },
    ReturnValues: "UPDATED_NEW"
  }));
  
  // Step 4: Get the item to verify final state
  const responseAfter = await docClient.send(new GetCommand({
    TableName: tableName,
    Key: key
  }));
  
  const itemAfter = responseAfter.Item || {};
  
  // Return the results
  return {
    initialState: itemBefore,
    updateResponse: updateResponse,
    finalState: itemAfter
  };
}
```
使用 更新表達式順序的範例用量 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to use update expression order of operations in DynamoDB.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "OrderProcessing";
  
  console.log("Demonstrating update expression order of operations in DynamoDB");
  
  try {
    // Example 1: Demonstrating value copying in update expressions
    console.log("\nExample 1: Demonstrating value copying in update expressions");
    const results1 = await demonstrateValueCopying(
      config,
      tableName,
      { OrderId: "order123" }
    );
    
    console.log("Initial state:", JSON.stringify(results1.initialState, null, 2));
    console.log("Update response:", JSON.stringify(results1.updateResponse, null, 2));
    console.log("Final state:", JSON.stringify(results1.finalState, null, 2));
    
    console.log("\nExplanation:");
    console.log("1. The initial state had a=1, b=2, c=3");
    console.log("2. The update expression 'REMOVE a SET b = a, c = b' did the following:");
    console.log("   - Copied the value of 'a' (which was 1) to be used for 'b'");
    console.log("   - Copied the value of 'b' (which was 2) to be used for 'c'");
    console.log("   - Removed the attribute 'a'");
    console.log("3. The final state has b=1, c=2, and 'a' is removed");
    console.log("4. This demonstrates that DynamoDB uses the values of attributes as they were BEFORE any modifications");
    
    // Example 2: Demonstrating the order of different action types
    console.log("\nExample 2: Demonstrating the order of different action types");
    const results2 = await demonstrateActionOrder(
      config,
      tableName,
      { OrderId: "order456" }
    );
    
    console.log("Initial state:", JSON.stringify(results2.initialState, null, 2));
    console.log("Update response:", JSON.stringify(results2.updateResponse, null, 2));
    console.log("Final state:", JSON.stringify(results2.finalState, null, 2));
    
    console.log("\nExplanation:");
    console.log("1. The update expression contained multiple action types: REMOVE, SET, ADD, DELETE");
    console.log("2. DynamoDB processes these actions in this order: REMOVE, SET, ADD, DELETE");
    console.log("3. First, 'to_remove' was removed");
    console.log("4. Then, 'to_modify' was set to a new value");
    console.log("5. Next, 'counter' was incremented by 5");
    console.log("6. Finally, 'B' was removed from the set attribute");
    
    // Example 3: Updating multiple attributes in a single SET action
    console.log("\nExample 3: Updating multiple attributes in a single SET action");
    const response3 = await updateWithMultipleSetActions(
      config,
      tableName,
      { OrderId: "order789" },
      {
        Status: "Shipped",
        ShippingDate: "2025-05-28",
        TrackingNumber: "1Z999AA10123456784"
      }
    );
    
    console.log("Multiple attributes updated successfully:", JSON.stringify(response3.Attributes, null, 2));
    
    // Example 4: Conditional value copying with if_not_exists
    console.log("\nExample 4: Conditional value copying with if_not_exists");
    const response4 = await updateWithConditionalValueCopying(
      config,
      tableName,
      { OrderId: "order101" },
      "PreferredShippingMethod",
      "ShippingMethod",
      "Standard"
    );
    
    console.log("Conditional value copying result:", JSON.stringify(response4.Attributes, null, 2));
    
    // Example 5: Multiple operations on the same attribute
    console.log("\nExample 5: Multiple operations on the same attribute");
    const results5 = await demonstrateMultipleOperationsOnSameAttribute(
      config,
      tableName,
      { OrderId: "order202" }
    );
    
    console.log("Initial state:", JSON.stringify(results5.initialState, null, 2));
    console.log("Update response:", JSON.stringify(results5.updateResponse, null, 2));
    console.log("Final state:", JSON.stringify(results5.finalState, null, 2));
    
    console.log("\nExplanation:");
    console.log("1. The counter was incremented twice (first by 5, then by 3) for a total of +8");
    console.log("2. The map attribute had one value updated and a new nested attribute added");
    console.log("3. The list attribute had values shifted (value at index 1 moved to index 0, value at index 2 moved to index 1)");
    console.log("4. All operations within the SET action are processed from left to right");
    
    // Key points about update expression order of operations
    console.log("\nKey Points About Update Expression Order of Operations:");
    console.log("1. Variables in expressions hold copies of attribute values as they existed BEFORE any modifications");
    console.log("2. Multiple actions in an update expression are processed in this order: REMOVE, SET, ADD, DELETE");
    console.log("3. Within each action type, operations are processed from left to right");
    console.log("4. You can reference the same attribute multiple times in an expression");
    console.log("5. You can use if_not_exists() to conditionally set values based on attribute existence");
    console.log("6. Using a single update expression with multiple actions is more efficient than multiple separate updates");
    console.log("7. The update expression is atomic - either all actions succeed or none do");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### 更新資料表的暖輸送量設定
<a name="dynamodb_UpdateTableWarmThroughput_javascript_3_topic"></a>

下列程式碼範例示範如何更新資料表的暖輸送量設定。

**適用於 JavaScript (v3) 的 SDK**  
使用 適用於 JavaScript 的 AWS SDK更新現有 DynamoDB 資料表上的暖輸送量設定。  

```
import { DynamoDBClient, UpdateTableCommand } from "@aws-sdk/client-dynamodb";

export async function updateDynamoDBTableWarmThroughput(
  tableName,
  tableReadUnits,
  tableWriteUnits,
  gsiName,
  gsiReadUnits,
  gsiWriteUnits,
  region = "us-east-1"
) {
  try {
    const ddbClient = new DynamoDBClient({ region: region });

    // Construct the update table request
    const updateTableRequest = {
      TableName: tableName,
      GlobalSecondaryIndexUpdates: [
        {
            Update: {
                IndexName: gsiName,
                WarmThroughput: {
                    ReadUnitsPerSecond: gsiReadUnits,
                    WriteUnitsPerSecond: gsiWriteUnits,
                },
            },
        },
      ],
      WarmThroughput: {
          ReadUnitsPerSecond: tableReadUnits,
          WriteUnitsPerSecond: tableWriteUnits,
      },
    };

    const command = new UpdateTableCommand(updateTableRequest);
    const response = await ddbClient.send(command);
    console.log(`Table updated successfully! Response: ${JSON.stringify(response)}`);
    return response;
  } catch (error) {
    console.error(`Error updating table: ${error}`);
    throw error;
  }
}

// Example usage (commented out for testing)
/*
updateDynamoDBTableWarmThroughput(
  'example-table',
  5, 5,
  'example-index',
  2, 2
);
*/
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateTableCommand)。

### 更新項目的 TTL
<a name="dynamodb_UpdateItemTTL_javascript_3_topic"></a>

下列程式碼範例示範如何更新項目的 TTL。

**適用於 JavaScript (v3) 的 SDK**  

```
import { DynamoDBClient, UpdateItemCommand } from "@aws-sdk/client-dynamodb";
import { marshall, unmarshall } from "@aws-sdk/util-dynamodb";

export const updateItem = async (tableName, partitionKey, sortKey, region = 'us-east-1') => {
    const client = new DynamoDBClient({
        region: region,
        endpoint: `https://dynamodb.${region}.amazonaws.com`
    });

    const currentTime = Math.floor(Date.now() / 1000);
    const expireAt = Math.floor((Date.now() + 90 * 24 * 60 * 60 * 1000) / 1000);

    const params = {
        TableName: tableName,
        Key: marshall({
            partitionKey: partitionKey,
            sortKey: sortKey
        }),
        UpdateExpression: "SET updatedAt = :c, expireAt = :e",
        ExpressionAttributeValues: marshall({
            ":c": currentTime,
            ":e": expireAt
        }),
    };

    try {
        const data = await client.send(new UpdateItemCommand(params));
        const responseData = unmarshall(data.Attributes);
        console.log("Item updated successfully: %s", responseData);
        return responseData;
    } catch (err) {
        console.error("Error updating item:", err);
        throw err;
    }
}

// Example usage (commented out for testing)
// updateItem('your-table-name', 'your-partition-key-value', 'your-sort-key-value');
```
+  如需 API 的詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK API 參考](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)》中的 *UpdateItem*。

### 使用 PartiQL UPDATE 更新資料
<a name="dynamodb_PartiQLUpdate_javascript_3_topic"></a>

下列程式碼範例示範如何使用 PartiQL UPDATE 陳述式更新資料。

**適用於 JavaScript (v3) 的 SDK**  
搭配 PartiQL UPDATE 陳述式更新 DynamoDB 資料表中的項目 適用於 JavaScript 的 AWS SDK。  

```
/**
 * This example demonstrates how to update items in a DynamoDB table using PartiQL.
 * It shows different ways to update documents with various index types.
 */
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  DynamoDBDocumentClient,
  ExecuteStatementCommand,
  BatchExecuteStatementCommand,
} from "@aws-sdk/lib-dynamodb";

/**
 * Update a single attribute of an item using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param attributeName - The name of the attribute to update
 * @param attributeValue - The new value for the attribute
 * @returns The response from the ExecuteStatementCommand
 */
export const updateSingleAttribute = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  attributeName: string,
  attributeValue: any
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `UPDATE "${tableName}" SET ${attributeName} = ? WHERE ${partitionKeyName} = ?`,
    Parameters: [attributeValue, partitionKeyValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item updated successfully");
    return data;
  } catch (err) {
    console.error("Error updating item:", err);
    throw err;
  }
};

/**
 * Update multiple attributes of an item using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param attributeUpdates - Object containing attribute names and their new values
 * @returns The response from the ExecuteStatementCommand
 */
export const updateMultipleAttributes = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  attributeUpdates: Record<string, any>
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  // Create SET clause for each attribute
  const setClause = Object.keys(attributeUpdates)
    .map((attr, index) => `${attr} = ?`)
    .join(", ");

  // Create parameters array with attribute values followed by the partition key value
  const parameters = [...Object.values(attributeUpdates), partitionKeyValue];

  const params = {
    Statement: `UPDATE "${tableName}" SET ${setClause} WHERE ${partitionKeyName} = ?`,
    Parameters: parameters,
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item updated successfully");
    return data;
  } catch (err) {
    console.error("Error updating item:", err);
    throw err;
  }
};

/**
 * Update an item identified by a composite key (partition key + sort key) using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param sortKeyName - The name of the sort key attribute
 * @param sortKeyValue - The value of the sort key
 * @param attributeName - The name of the attribute to update
 * @param attributeValue - The new value for the attribute
 * @returns The response from the ExecuteStatementCommand
 */
export const updateItemWithCompositeKey = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  sortKeyName: string,
  sortKeyValue: string | number,
  attributeName: string,
  attributeValue: any
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `UPDATE "${tableName}" SET ${attributeName} = ? WHERE ${partitionKeyName} = ? AND ${sortKeyName} = ?`,
    Parameters: [attributeValue, partitionKeyValue, sortKeyValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item updated successfully");
    return data;
  } catch (err) {
    console.error("Error updating item:", err);
    throw err;
  }
};

/**
 * Update an item with a condition to ensure the update only happens if a condition is met.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param partitionKeyName - The name of the partition key attribute
 * @param partitionKeyValue - The value of the partition key
 * @param attributeName - The name of the attribute to update
 * @param attributeValue - The new value for the attribute
 * @param conditionAttribute - The attribute to check in the condition
 * @param conditionValue - The value to compare against in the condition
 * @returns The response from the ExecuteStatementCommand
 */
export const updateItemWithCondition = async (
  tableName: string,
  partitionKeyName: string,
  partitionKeyValue: string | number,
  attributeName: string,
  attributeValue: any,
  conditionAttribute: string,
  conditionValue: any
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  const params = {
    Statement: `UPDATE "${tableName}" SET ${attributeName} = ? WHERE ${partitionKeyName} = ? AND ${conditionAttribute} = ?`,
    Parameters: [attributeValue, partitionKeyValue, conditionValue],
  };

  try {
    const data = await docClient.send(new ExecuteStatementCommand(params));
    console.log("Item updated with condition successfully");
    return data;
  } catch (err) {
    console.error("Error updating item with condition:", err);
    throw err;
  }
};

/**
 * Batch update multiple items using PartiQL.
 * 
 * @param tableName - The name of the DynamoDB table
 * @param updates - Array of objects containing key and update information
 * @returns The response from the BatchExecuteStatementCommand
 */
export const batchUpdateItems = async (
  tableName: string,
  updates: Array<{
    partitionKeyName: string;
    partitionKeyValue: string | number;
    attributeName: string;
    attributeValue: any;
  }>
) => {
  const client = new DynamoDBClient({});
  const docClient = DynamoDBDocumentClient.from(client);

  // Create statements for each update
  const statements = updates.map((update) => {
    return {
      Statement: `UPDATE "${tableName}" SET ${update.attributeName} = ? WHERE ${update.partitionKeyName} = ?`,
      Parameters: [update.attributeValue, update.partitionKeyValue],
    };
  });

  const params = {
    Statements: statements,
  };

  try {
    const data = await docClient.send(new BatchExecuteStatementCommand(params));
    console.log("Items batch updated successfully");
    return data;
  } catch (err) {
    console.error("Error batch updating items:", err);
    throw err;
  }
};

/**
 * Example usage showing how to update items with different index types
 */
export const updateExamples = async () => {
  // Update a single attribute using a simple primary key
  await updateSingleAttribute("UsersTable", "userId", "user123", "email", "newemail@example.com");

  // Update multiple attributes at once
  await updateMultipleAttributes("UsersTable", "userId", "user123", {
    email: "newemail@example.com",
    name: "John Smith",
    lastLogin: new Date().toISOString(),
  });

  // Update an item with a composite key (partition key + sort key)
  await updateItemWithCompositeKey(
    "OrdersTable",
    "orderId",
    "order456",
    "productId",
    "prod789",
    "quantity",
    5
  );

  // Update with a condition
  await updateItemWithCondition(
    "UsersTable",
    "userId",
    "user123",
    "userStatus",
    "active",
    "userType",
    "premium"
  );

  // Batch update multiple items
  await batchUpdateItems("UsersTable", [
    {
      partitionKeyName: "userId",
      partitionKeyValue: "user123",
      attributeName: "lastLogin",
      attributeValue: new Date().toISOString(),
    },
    {
      partitionKeyName: "userId",
      partitionKeyValue: "user456",
      attributeName: "lastLogin",
      attributeValue: new Date().toISOString(),
    },
  ]);
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/BatchExecuteStatementCommand)
  + [ExecuteStatement](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/ExecuteStatementCommand)

### 使用 API Gateway 來調用 Lambda 函式
<a name="cross_LambdaAPIGateway_javascript_3_topic"></a>

下列程式碼範例示範如何建立 Amazon API Gateway 調用的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何使用 Lambda JavaScript 執行時間 API 建立 AWS Lambda 函數。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立 Amazon API Gateway 調用的 Lambda 函式，該函數會掃描 Amazon DynamoDB 資料表中的工作週年紀念日，並使用 Amazon Simple Notification Service (Amazon SNS) 傳送文字訊息給您的員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-api-gateway) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/api-gateway-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon SNS

### 使用原子計數器操作
<a name="dynamodb_Scenario_AtomicCounterOperations_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中使用原子計數器操作。
+ 使用 ADD 和 SET 操作以原子方式遞增計數器。
+ 安全地遞增可能不存在的計數器。
+ 實作計數器操作的樂觀鎖定。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範原子計數器操作 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  GetCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Increment a counter using the ADD operation.
 * 
 * This function demonstrates using the ADD operation for atomic increments.
 * The ADD operation is atomic and is the recommended way to increment counters.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} counterName - The name of the counter attribute
 * @param {number} incrementValue - The value to increment by
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function incrementCounterWithAdd(
  config,
  tableName,
  key,
  counterName,
  incrementValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using ADD
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `ADD ${counterName} :increment`,
    ExpressionAttributeValues: {
      ":increment": incrementValue
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Increment a counter using the SET operation with an expression.
 * 
 * This function demonstrates using the SET operation with an expression for increments.
 * While this approach works, it's less idiomatic for simple increments than using ADD.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} counterName - The name of the counter attribute
 * @param {number} incrementValue - The value to increment by
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function incrementCounterWithSet(
  config,
  tableName,
  key,
  counterName,
  incrementValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using SET with an expression
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${counterName} = ${counterName} + :increment`,
    ExpressionAttributeValues: {
      ":increment": incrementValue
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Increment a counter safely, handling the case where the counter might not exist.
 * 
 * This function demonstrates using the if_not_exists function with SET to safely
 * increment a counter that might not exist yet.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} counterName - The name of the counter attribute
 * @param {number} incrementValue - The value to increment by
 * @param {number} defaultValue - The default value if the counter doesn't exist
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function incrementCounterSafely(
  config,
  tableName,
  key,
  counterName,
  incrementValue,
  defaultValue = 0
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using SET with if_not_exists
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${counterName} = if_not_exists(${counterName}, :default) + :increment`,
    ExpressionAttributeValues: {
      ":increment": incrementValue,
      ":default": defaultValue
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Increment a counter with optimistic locking to prevent race conditions.
 * 
 * This function demonstrates using a condition expression to implement optimistic
 * locking, which prevents race conditions when multiple processes try to update
 * the same counter.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} counterName - The name of the counter attribute
 * @param {number} incrementValue - The value to increment by
 * @param {number} expectedValue - The expected current value of the counter
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function incrementCounterWithLocking(
  config,
  tableName,
  key,
  counterName,
  incrementValue,
  expectedValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters with a condition expression
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${counterName} = ${counterName} + :increment`,
    ConditionExpression: `${counterName} = :expected`,
    ExpressionAttributeValues: {
      ":increment": incrementValue,
      ":expected": expectedValue
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  try {
    // Perform the update operation
    const response = await docClient.send(new UpdateCommand(params));
    return {
      success: true,
      data: response
    };
  } catch (error) {
    // Check if the error is due to the condition check failing
    if (error.name === "ConditionalCheckFailedException") {
      return {
        success: false,
        error: "Optimistic locking failed: the counter value has changed"
      };
    }
    // Re-throw other errors
    throw error;
  }
}

/**
 * Get the current value of a counter.
 * 
 * Helper function to retrieve the current value of a counter attribute.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to get
 * @param {string} counterName - The name of the counter attribute
 * @returns {Promise<number|null>} - The current counter value or null if not found
 */
async function getCounterValue(
  config,
  tableName,
  key,
  counterName
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the get parameters
  const params = {
    TableName: tableName,
    Key: key
  };
  
  // Perform the get operation
  const response = await docClient.send(new GetCommand(params));
  
  // Return the counter value if it exists, otherwise null
  return response.Item && counterName in response.Item
    ? response.Item[counterName]
    : null;
}
```
使用 進行原子計數器操作的範例用量 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to use the atomic counter operations.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Products";
  const key = { ProductId: "P12345" };
  const counterName = "ViewCount";
  const incrementValue = 1;
  
  console.log("Demonstrating different approaches to increment counters in DynamoDB");
  
  try {
    // Example 1: Using ADD operation (recommended for simple increments)
    console.log("\nExample 1: Incrementing counter with ADD operation");
    const response1 = await incrementCounterWithAdd(
      config,
      tableName,
      key,
      counterName,
      incrementValue
    );
    
    console.log(`Counter incremented to: ${response1.Attributes[counterName]}`);
    
    // Example 2: Using SET operation with an expression
    console.log("\nExample 2: Incrementing counter with SET operation");
    const response2 = await incrementCounterWithSet(
      config,
      tableName,
      key,
      counterName,
      incrementValue
    );
    
    console.log(`Counter incremented to: ${response2.Attributes[counterName]}`);
    
    // Example 3: Safely incrementing a counter that might not exist
    console.log("\nExample 3: Safely incrementing counter that might not exist");
    const newKey = { ProductId: "P67890" };
    const response3 = await incrementCounterSafely(
      config,
      tableName,
      newKey,
      counterName,
      incrementValue,
      0
    );
    
    console.log(`Counter initialized and incremented to: ${response3.Attributes[counterName]}`);
    
    // Example 4: Incrementing with optimistic locking
    console.log("\nExample 4: Incrementing with optimistic locking");
    
    // First, get the current counter value
    const currentValue = await getCounterValue(config, tableName, key, counterName);
    console.log(`Current counter value: ${currentValue}`);
    
    // Then, try to increment with optimistic locking
    const response4 = await incrementCounterWithLocking(
      config,
      tableName,
      key,
      counterName,
      incrementValue,
      currentValue
    );
    
    if (response4.success) {
      console.log(`Counter successfully incremented to: ${response4.data.Attributes[counterName]}`);
    } else {
      console.log(response4.error);
    }
    
    // Explain the differences between ADD and SET
    console.log("\nKey differences between ADD and SET for counter operations:");
    console.log("1. ADD is more concise and idiomatic for simple increments");
    console.log("2. SET with expressions is more flexible for complex operations");
    console.log("3. Both operations are atomic and safe for concurrent updates");
    console.log("4. SET with if_not_exists is required when the attribute might not exist");
    console.log("5. Optimistic locking can be added to either approach for additional safety");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+  如需 API 詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK API 參考》](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)中的 *UpdateItem*。

### 使用條件式操作
<a name="dynamodb_Scenario_ConditionalOperations_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中使用條件式操作。
+ 實作條件式寫入以防止覆寫資料。
+ 使用條件表達式來強制執行業務規則。
+ 從容地處理條件式檢查失敗。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範條件式操作 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  DeleteCommand,
  GetCommand,
  PutCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Perform a conditional update operation.
 * 
 * This function demonstrates how to update an item only if a condition is met.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} conditionAttribute - The attribute to check in the condition
 * @param {any} conditionValue - The value to compare against
 * @param {string} updateAttribute - The attribute to update
 * @param {any} updateValue - The new value to set
 * @returns {Promise<Object>} - Result of the operation
 */
async function conditionalUpdate(
  config,
  tableName,
  key,
  conditionAttribute,
  conditionValue,
  updateAttribute,
  updateValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters with a condition expression
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${updateAttribute} = :value`,
    ConditionExpression: `${conditionAttribute} = :condition`,
    ExpressionAttributeValues: {
      ":value": updateValue,
      ":condition": conditionValue
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  try {
    // Perform the update operation
    const response = await docClient.send(new UpdateCommand(params));
    
    return {
      success: true,
      message: "Condition was met and update was performed",
      updatedAttributes: response.Attributes
    };
  } catch (error) {
    // Check if the error is due to the condition check failing
    if (error.name === "ConditionalCheckFailedException") {
      return {
        success: false,
        message: "Condition was not met, update was not performed",
        error: "ConditionalCheckFailedException"
      };
    }
    
    // Re-throw other errors
    throw error;
  }
}

/**
 * Perform a conditional delete operation.
 * 
 * This function demonstrates how to delete an item only if a condition is met.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to delete
 * @param {string} conditionAttribute - The attribute to check in the condition
 * @param {any} conditionValue - The value to compare against
 * @returns {Promise<Object>} - Result of the operation
 */
async function conditionalDelete(
  config,
  tableName,
  key,
  conditionAttribute,
  conditionValue
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the delete parameters with a condition expression
  const params = {
    TableName: tableName,
    Key: key,
    ConditionExpression: `${conditionAttribute} = :condition`,
    ExpressionAttributeValues: {
      ":condition": conditionValue
    },
    ReturnValues: "ALL_OLD"
  };
  
  try {
    // Perform the delete operation
    const response = await docClient.send(new DeleteCommand(params));
    
    return {
      success: true,
      message: "Condition was met and item was deleted",
      deletedItem: response.Attributes
    };
  } catch (error) {
    // Check if the error is due to the condition check failing
    if (error.name === "ConditionalCheckFailedException") {
      return {
        success: false,
        message: "Condition was not met, item was not deleted",
        error: "ConditionalCheckFailedException"
      };
    }
    
    // Re-throw other errors
    throw error;
  }
}

/**
 * Implement optimistic locking with a version number.
 * 
 * This function demonstrates how to use a version number for optimistic locking
 * to prevent race conditions when multiple processes update the same item.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {Object} updates - The attributes to update
 * @param {number} expectedVersion - The expected current version number
 * @returns {Promise<Object>} - Result of the operation
 */
async function updateWithOptimisticLocking(
  config,
  tableName,
  key,
  updates,
  expectedVersion
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Build the update expression
  const updateExpressions = [];
  const expressionAttributeValues = {
    ":expectedVersion": expectedVersion,
    ":newVersion": expectedVersion + 1
  };
  
  // Add each update to the expression
  Object.entries(updates).forEach(([attribute, value], index) => {
    updateExpressions.push(`${attribute} = :val${index}`);
    expressionAttributeValues[`:val${index}`] = value;
  });
  
  // Add the version update
  updateExpressions.push("version = :newVersion");
  
  // Define the update parameters with a condition expression
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${updateExpressions.join(", ")}`,
    ConditionExpression: "version = :expectedVersion",
    ExpressionAttributeValues: expressionAttributeValues,
    ReturnValues: "UPDATED_NEW"
  };
  
  try {
    // Perform the update operation
    const response = await docClient.send(new UpdateCommand(params));
    
    return {
      success: true,
      message: "Update succeeded with optimistic locking",
      newVersion: expectedVersion + 1,
      updatedAttributes: response.Attributes
    };
  } catch (error) {
    // Check if the error is due to the condition check failing
    if (error.name === "ConditionalCheckFailedException") {
      return {
        success: false,
        message: "Optimistic locking failed: the item was modified by another process",
        error: "ConditionalCheckFailedException"
      };
    }
    
    // Re-throw other errors
    throw error;
  }
}

/**
 * Implement a conditional write that creates an item only if it doesn't exist.
 * 
 * This function demonstrates how to use attribute_not_exists to create an item
 * only if it doesn't already exist (similar to an "INSERT IF NOT EXISTS" operation).
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} item - The item to create
 * @returns {Promise<Object>} - Result of the operation
 */
async function createIfNotExists(
  config,
  tableName,
  item
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Extract the primary key attributes
  const keyAttributes = Object.keys(item).filter(attr => 
    attr === "id" || attr === "ID" || attr === "Id" || 
    attr.endsWith("Id") || attr.endsWith("ID") || 
    attr.endsWith("Key")
  );
  
  if (keyAttributes.length === 0) {
    throw new Error("Could not determine primary key attributes");
  }
  
  // Create a condition expression that checks if the item doesn't exist
  const conditionExpression = `attribute_not_exists(${keyAttributes[0]})`;
  
  // Define the put parameters with a condition expression
  const params = {
    TableName: tableName,
    Item: item,
    ConditionExpression: conditionExpression
  };
  
  try {
    // Perform the put operation
    await docClient.send(new PutCommand(params));
    
    return {
      success: true,
      message: "Item was created because it didn't exist",
      item
    };
  } catch (error) {
    // Check if the error is due to the condition check failing
    if (error.name === "ConditionalCheckFailedException") {
      return {
        success: false,
        message: "Item already exists, creation was skipped",
        error: "ConditionalCheckFailedException"
      };
    }
    
    // Re-throw other errors
    throw error;
  }
}

/**
 * Get the current value of an item.
 * 
 * Helper function to retrieve the current value of an item.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to get
 * @returns {Promise<Object|null>} - The item or null if not found
 */
async function getItem(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the get parameters
  const params = {
    TableName: tableName,
    Key: key
  };
  
  // Perform the get operation
  const response = await docClient.send(new GetCommand(params));
  
  // Return the item if it exists, otherwise null
  return response.Item || null;
}
```
使用 的條件式操作範例 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to use conditional operations.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Products";
  const key = { ProductId: "P12345" };
  
  console.log("Demonstrating conditional operations in DynamoDB");
  
  try {
    // Example 1: Conditional update based on attribute value
    console.log("\nExample 1: Conditional update based on attribute value");
    const updateResult = await conditionalUpdate(
      config,
      tableName,
      key,
      "Category",
      "Electronics",
      "Price",
      299.99
    );
    
    console.log(`Result: ${updateResult.message}`);
    if (updateResult.success) {
      console.log("Updated attributes:", updateResult.updatedAttributes);
    }
    
    // Example 2: Conditional delete based on attribute value
    console.log("\nExample 2: Conditional delete based on attribute value");
    const deleteResult = await conditionalDelete(
      config,
      tableName,
      key,
      "InStock",
      false
    );
    
    console.log(`Result: ${deleteResult.message}`);
    if (deleteResult.success) {
      console.log("Deleted item:", deleteResult.deletedItem);
    }
    
    // Example 3: Optimistic locking with version number
    console.log("\nExample 3: Optimistic locking with version number");
    
    // First, get the current item to check its version
    const currentItem = await getItem(config, tableName, { ProductId: "P67890" });
    const currentVersion = currentItem ? (currentItem.version || 0) : 0;
    
    console.log(`Current version: ${currentVersion}`);
    
    // Then, update with optimistic locking
    const lockingResult = await updateWithOptimisticLocking(
      config,
      tableName,
      { ProductId: "P67890" },
      {
        Name: "Updated Product Name",
        Description: "This is an updated description"
      },
      currentVersion
    );
    
    console.log(`Result: ${lockingResult.message}`);
    if (lockingResult.success) {
      console.log(`New version: ${lockingResult.newVersion}`);
      console.log("Updated attributes:", lockingResult.updatedAttributes);
    }
    
    // Example 4: Create item only if it doesn't exist
    console.log("\nExample 4: Create item only if it doesn't exist");
    const createResult = await createIfNotExists(
      config,
      tableName,
      {
        ProductId: "P99999",
        Name: "New Product",
        Category: "Accessories",
        Price: 19.99,
        InStock: true
      }
    );
    
    console.log(`Result: ${createResult.message}`);
    if (createResult.success) {
      console.log("Created item:", createResult.item);
    }
    
    // Explain conditional operations
    console.log("\nKey points about conditional operations:");
    console.log("1. Conditional operations only succeed if the condition is met");
    console.log("2. ConditionalCheckFailedException indicates the condition wasn't met");
    console.log("3. Optimistic locking prevents race conditions in concurrent updates");
    console.log("4. attribute_exists and attribute_not_exists are useful for checking if attributes are present");
    console.log("5. Conditional operations are atomic - they either succeed completely or fail completely");
    console.log("6. You can use any valid comparison operators and functions in condition expressions");
    console.log("7. Conditional operations don't consume write capacity if the condition fails");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [DeleteItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/DeleteItemCommand)
  + [PutItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/PutItemCommand)
  + [UpdateItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)

### 使用表達式屬性名稱
<a name="dynamodb_Scenario_ExpressionAttributeNames_javascript_3_topic"></a>

下列程式碼範例示範如何在 DynamoDB 中使用表達式屬性名稱。
+ 在 DynamoDB 表達式中使用保留字。
+ 使用表達式屬性名稱預留位置。
+ 處理屬性名稱中的特殊字元。

**適用於 JavaScript (v3) 的 SDK**  
使用 示範表達式屬性名稱 適用於 JavaScript 的 AWS SDK。  

```
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { 
  DynamoDBDocumentClient, 
  UpdateCommand,
  GetCommand,
  QueryCommand,
  ScanCommand
} = require("@aws-sdk/lib-dynamodb");

/**
 * Update an attribute that is a reserved word in DynamoDB.
 * 
 * This function demonstrates how to use expression attribute names to update
 * attributes that are reserved words in DynamoDB.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} reservedWordAttribute - The reserved word attribute to update
 * @param {any} value - The value to set
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateReservedWordAttribute(
  config,
  tableName,
  key,
  reservedWordAttribute,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using expression attribute names
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: "SET #attr = :value",
    ExpressionAttributeNames: {
      "#attr": reservedWordAttribute
    },
    ExpressionAttributeValues: {
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Update an attribute that contains special characters.
 * 
 * This function demonstrates how to use expression attribute names to update
 * attributes that contain special characters.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string} specialCharAttribute - The attribute with special characters to update
 * @param {any} value - The value to set
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateSpecialCharacterAttribute(
  config,
  tableName,
  key,
  specialCharAttribute,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the update parameters using expression attribute names
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: "SET #attr = :value",
    ExpressionAttributeNames: {
      "#attr": specialCharAttribute
    },
    ExpressionAttributeValues: {
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Query items using an attribute that is a reserved word.
 * 
 * This function demonstrates how to use expression attribute names in a query
 * when the attribute is a reserved word.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {string} partitionKeyName - The name of the partition key attribute
 * @param {any} partitionKeyValue - The value of the partition key
 * @param {string} reservedWordAttribute - The reserved word attribute to filter on
 * @param {any} value - The value to compare against
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function queryWithReservedWordAttribute(
  config,
  tableName,
  partitionKeyName,
  partitionKeyValue,
  reservedWordAttribute,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the query parameters using expression attribute names
  const params = {
    TableName: tableName,
    KeyConditionExpression: "#pkName = :pkValue",
    FilterExpression: "#attr = :value",
    ExpressionAttributeNames: {
      "#pkName": partitionKeyName,
      "#attr": reservedWordAttribute
    },
    ExpressionAttributeValues: {
      ":pkValue": partitionKeyValue,
      ":value": value
    }
  };
  
  // Perform the query operation
  const response = await docClient.send(new QueryCommand(params));
  
  return response;
}

/**
 * Update a nested attribute with a path that contains reserved words.
 * 
 * This function demonstrates how to use expression attribute names to update
 * nested attributes where the path contains reserved words.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to update
 * @param {string[]} attributePath - The path to the nested attribute as an array
 * @param {any} value - The value to set
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function updateNestedReservedWordAttribute(
  config,
  tableName,
  key,
  attributePath,
  value
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create expression attribute names for each part of the path
  const expressionAttributeNames = {};
  for (let i = 0; i < attributePath.length; i++) {
    expressionAttributeNames[`#attr${i}`] = attributePath[i];
  }
  
  // Build the attribute path using the expression attribute names
  const attributePathExpression = attributePath
    .map((_, i) => `#attr${i}`)
    .join(".");
  
  // Define the update parameters
  const params = {
    TableName: tableName,
    Key: key,
    UpdateExpression: `SET ${attributePathExpression} = :value`,
    ExpressionAttributeNames: expressionAttributeNames,
    ExpressionAttributeValues: {
      ":value": value
    },
    ReturnValues: "UPDATED_NEW"
  };
  
  // Perform the update operation
  const response = await docClient.send(new UpdateCommand(params));
  
  return response;
}

/**
 * Scan a table with multiple attribute name placeholders.
 * 
 * This function demonstrates how to use multiple expression attribute names
 * in a complex filter expression.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} filters - Object mapping attribute names to filter values
 * @returns {Promise<Object>} - The response from DynamoDB
 */
async function scanWithMultipleAttributeNames(
  config,
  tableName,
  filters
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Create expression attribute names and values
  const expressionAttributeNames = {};
  const expressionAttributeValues = {};
  const filterConditions = [];
  
  // Build the filter expression
  Object.entries(filters).forEach(([attrName, value], index) => {
    const nameKey = `#attr${index}`;
    const valueKey = `:val${index}`;
    
    expressionAttributeNames[nameKey] = attrName;
    expressionAttributeValues[valueKey] = value;
    filterConditions.push(`${nameKey} = ${valueKey}`);
  });
  
  // Join the filter conditions with AND
  const filterExpression = filterConditions.join(" AND ");
  
  // Define the scan parameters
  const params = {
    TableName: tableName,
    FilterExpression: filterExpression,
    ExpressionAttributeNames: expressionAttributeNames,
    ExpressionAttributeValues: expressionAttributeValues
  };
  
  // Perform the scan operation
  const response = await docClient.send(new ScanCommand(params));
  
  return response;
}

/**
 * Get the current value of an item.
 * 
 * Helper function to retrieve the current value of an item.
 * 
 * @param {Object} config - AWS configuration object
 * @param {string} tableName - The name of the DynamoDB table
 * @param {Object} key - The key of the item to get
 * @returns {Promise<Object|null>} - The item or null if not found
 */
async function getItem(
  config,
  tableName,
  key
) {
  // Initialize the DynamoDB client
  const client = new DynamoDBClient(config);
  const docClient = DynamoDBDocumentClient.from(client);
  
  // Define the get parameters
  const params = {
    TableName: tableName,
    Key: key
  };
  
  // Perform the get operation
  const response = await docClient.send(new GetCommand(params));
  
  // Return the item if it exists, otherwise null
  return response.Item || null;
}
```
表達式屬性名稱的範例使用方式 適用於 JavaScript 的 AWS SDK。  

```
/**
 * Example of how to use expression attribute names.
 */
async function exampleUsage() {
  // Example parameters
  const config = { region: "us-west-2" };
  const tableName = "Products";
  const key = { ProductId: "P12345" };
  
  console.log("Demonstrating expression attribute names in DynamoDB");
  
  try {
    // Example 1: Update an attribute that is a reserved word
    console.log("\nExample 1: Updating an attribute that is a reserved word");
    const response1 = await updateReservedWordAttribute(
      config,
      tableName,
      key,
      "Size", // "SIZE" is a reserved word in DynamoDB
      "Large"
    );
    
    console.log("Updated attribute:", response1.Attributes);
    
    // Example 2: Update an attribute with special characters
    console.log("\nExample 2: Updating an attribute with special characters");
    const response2 = await updateSpecialCharacterAttribute(
      config,
      tableName,
      key,
      "Product-Type", // Contains a hyphen, which is a special character
      "Electronics"
    );
    
    console.log("Updated attribute:", response2.Attributes);
    
    // Example 3: Query with a reserved word attribute
    console.log("\nExample 3: Querying with a reserved word attribute");
    const response3 = await queryWithReservedWordAttribute(
      config,
      tableName,
      "Category",
      "Electronics",
      "Count", // "COUNT" is a reserved word in DynamoDB
      10
    );
    
    console.log(`Found ${response3.Items.length} items`);
    
    // Example 4: Update a nested attribute with reserved words in the path
    console.log("\nExample 4: Updating a nested attribute with reserved words in the path");
    const response4 = await updateNestedReservedWordAttribute(
      config,
      tableName,
      key,
      ["Dimensions", "Size", "Height"], // "SIZE" is a reserved word
      30
    );
    
    console.log("Updated nested attribute:", response4.Attributes);
    
    // Example 5: Scan with multiple attribute name placeholders
    console.log("\nExample 5: Scanning with multiple attribute name placeholders");
    const response5 = await scanWithMultipleAttributeNames(
      config,
      tableName,
      {
        "Size": "Large",
        "Count": 10,
        "Product-Type": "Electronics"
      }
    );
    
    console.log(`Found ${response5.Items.length} items`);
    
    // Get the final state of the item
    console.log("\nFinal state of the item:");
    const item = await getItem(config, tableName, key);
    console.log(JSON.stringify(item, null, 2));
    
    // Show some common reserved words
    console.log("\nSome common DynamoDB reserved words:");
    const commonReservedWords = [
      "ABORT", "ABSOLUTE", "ACTION", "ADD", "ALL", "ALTER", "AND", "ANY", "AS",
      "ASC", "BETWEEN", "BY", "CASE", "CAST", "COLUMN", "CONNECT", "COUNT",
      "CREATE", "CURRENT", "DATE", "DELETE", "DESC", "DROP", "ELSE", "EXISTS",
      "FOR", "FROM", "GRANT", "GROUP", "HAVING", "IN", "INDEX", "INSERT", "INTO",
      "IS", "JOIN", "KEY", "LEVEL", "LIKE", "LIMIT", "LOCAL", "MAX", "MIN", "NAME",
      "NOT", "NULL", "OF", "ON", "OR", "ORDER", "OUTER", "REPLACE", "RETURN",
      "SELECT", "SET", "SIZE", "TABLE", "THEN", "TO", "UPDATE", "USER", "VALUES",
      "VIEW", "WHERE"
    ];
    console.log(commonReservedWords.join(", "));
    
    // Explain expression attribute names
    console.log("\nKey points about expression attribute names:");
    console.log("1. Use expression attribute names (#name) for reserved words");
    console.log("2. Use expression attribute names for attributes with special characters");
    console.log("3. Special characters include: spaces, hyphens, dots, and other non-alphanumeric characters");
    console.log("4. Expression attribute names are required for nested attributes with reserved words");
    console.log("5. You can use multiple expression attribute names in a single expression");
    console.log("6. Expression attribute names are case-sensitive");
    console.log("7. Expression attribute names are only used in expressions, not in the actual data");
    
  } catch (error) {
    console.error("Error:", error);
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [Query](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/QueryCommand)
  + [UpdateItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/UpdateItemCommand)

### 使用排程事件來調用 Lambda 函式
<a name="cross_LambdaScheduledEvents_javascript_3_topic"></a>

下列程式碼範例示範如何建立由 Amazon EventBridge 排程事件呼叫的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何建立叫用 AWS Lambda 函數的 Amazon EventBridge 排程事件。將 EventBridge 設定為在調用 Lambda 函式時使用 Cron 表達式來進行排程。在此範例中，您會使用 Lambda JavaScript 執行時期 API 建立 Lambda 函式。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立應用程式，將行動裝置文字訊息傳送給員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-scheduled-events) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/scheduled-events-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ CloudWatch Logs
+ DynamoDB
+ EventBridge
+ Lambda
+ Amazon SNS

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 DynamoDB 觸發條件調用 Lambda 函式
<a name="serverless_DynamoDB_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DynamoDB 串流的記錄來接收所觸發的事件。函數會擷取 DynamoDB 承載並記下記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 DynamoDB 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
    console.log(JSON.stringify(event, null, 2));
    event.Records.forEach(record => {
        logDynamoDBRecord(record);
    });
};

const logDynamoDBRecord = (record) => {
    console.log(record.eventID);
    console.log(record.eventName);
    console.log(`DynamoDB Record: ${JSON.stringify(record.dynamodb)}`);
};
```
使用 TypeScript 搭配 Lambda 來使用 DynamoDB 事件。  

```
export const handler = async (event, context) => {
    console.log(JSON.stringify(event, null, 2));
    event.Records.forEach(record => {
        logDynamoDBRecord(record);
    });
}
const logDynamoDBRecord = (record) => {
    console.log(record.eventID);
    console.log(record.eventName);
    console.log(`DynamoDB Record: ${JSON.stringify(record.dynamodb)}`);
};
```

### 使用 DynamoDB 觸發條件報告 Lambda 函式的批次項目失敗
<a name="serverless_DynamoDB_Lambda_batch_item_failures_javascript_3_topic"></a>

下列程式碼範例示範如何針對接收來自 DynamoDB 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 報告 DynamoDB 批次項目失敗。  

```
export const handler = async (event) => {
  const records = event.Records;
  let curRecordSequenceNumber = "";

  for (const record of records) {
    try {
      // Process your record
      curRecordSequenceNumber = record.dynamodb.SequenceNumber;
    } catch (e) {
      // Return failed record's sequence number
      return { batchItemFailures: [{ itemIdentifier: curRecordSequenceNumber }] };
    }
  }

  return { batchItemFailures: [] };
};
```
使用 TypeScript 搭配 Lambda 報告 DynamoDB 批次項目失敗。  

```
import {
  DynamoDBBatchResponse,
  DynamoDBBatchItemFailure,
  DynamoDBStreamEvent,
} from "aws-lambda";

export const handler = async (
  event: DynamoDBStreamEvent
): Promise<DynamoDBBatchResponse> => {
  const batchItemFailures: DynamoDBBatchItemFailure[] = [];
  let curRecordSequenceNumber;

  for (const record of event.Records) {
    curRecordSequenceNumber = record.dynamodb?.SequenceNumber;

    if (curRecordSequenceNumber) {
      batchItemFailures.push({
        itemIdentifier: curRecordSequenceNumber,
      });
    }
  }

  return { batchItemFailures: batchItemFailures };
};
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon EC2 範例
<a name="javascript_3_ec2_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon EC2 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)
+ [案例](#scenarios)

## 開始使用
<a name="get_started"></a>

### 您好 Amazon EC2
<a name="ec2_Hello_javascript_3_topic"></a>

下列程式碼範例說明如何開始使用 Amazon EC2。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DescribeSecurityGroupsCommand, EC2Client } from "@aws-sdk/client-ec2";

// Call DescribeSecurityGroups and display the result.
export const main = async () => {
  const client = new EC2Client();
  try {
    const { SecurityGroups } = await client.send(
      new DescribeSecurityGroupsCommand({}),
    );

    const securityGroupList = SecurityGroups.slice(0, 9)
      .map((sg) => ` • ${sg.GroupId}: ${sg.GroupName}`)
      .join("\n");

    console.log(
      "Hello, Amazon EC2! Let's list up to 10 of your security groups:",
    );
    console.log(securityGroupList);
  } catch (err) {
    console.error(err);
  }
};

// Call function if run directly.
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeSecurityGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSecurityGroupsCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="ec2_Scenario_GetStartedInstances_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立金鑰對和安全群組。
+ 選取 Amazon Machine Image (AMI) 和相容的執行個體類型，然後建立執行個體。
+ 停止並重新啟動執行個體。
+ 將彈性 IP 地址與您的執行個體建立關聯。
+ 使用 SSH 連線至執行個體，然後清理資源。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。
此檔案包含與 EC2 搭配使用的常見動作清單。這些步驟是以情境架構建構而成，可簡化互動式範例的執行。如需完整上下文，請造訪 GitHub 儲存庫。  

```
import { tmpdir } from "node:os";
import { writeFile, mkdtemp, rm } from "node:fs/promises";
import { join } from "node:path";
import { get } from "node:http";

import {
  AllocateAddressCommand,
  AssociateAddressCommand,
  AuthorizeSecurityGroupIngressCommand,
  CreateKeyPairCommand,
  CreateSecurityGroupCommand,
  DeleteKeyPairCommand,
  DeleteSecurityGroupCommand,
  DisassociateAddressCommand,
  paginateDescribeImages,
  paginateDescribeInstances,
  paginateDescribeInstanceTypes,
  ReleaseAddressCommand,
  RunInstancesCommand,
  StartInstancesCommand,
  StopInstancesCommand,
  TerminateInstancesCommand,
  waitUntilInstanceStatusOk,
  waitUntilInstanceStopped,
  waitUntilInstanceTerminated,
} from "@aws-sdk/client-ec2";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

import { paginateGetParametersByPath, SSMClient } from "@aws-sdk/client-ssm";

/**
 * @typedef {{
 *   ec2Client: import('@aws-sdk/client-ec2').EC2Client,
 *   errors: Error[],
 *   keyPairId?: string,
 *   tmpDirectory?: string,
 *   securityGroupId?: string,
 *   ipAddress?: string,
 *   images?: import('@aws-sdk/client-ec2').Image[],
 *   image?: import('@aws-sdk/client-ec2').Image,
 *   instanceTypes?: import('@aws-sdk/client-ec2').InstanceTypeInfo[],
 *   instanceId?: string,
 *   instanceIpAddress?: string,
 *   allocationId?: string,
 *   allocatedIpAddress?: string,
 *   associationId?: string,
 * }} State
 */

/**
 * A skip function provided to the `skipWhen` of a Step when you want
 * to ignore that step if any errors have occurred.
 * @param {State} state
 */
const skipWhenErrors = (state) => state.errors.length > 0;

const MAX_WAITER_TIME_IN_SECONDS = 60 * 8;

export const confirm = new ScenarioInput("confirmContinue", "Continue?", {
  type: "confirm",
  skipWhen: skipWhenErrors,
});

export const exitOnNoConfirm = new ScenarioAction(
  "exitOnConfirmContinueFalse",
  (/** @type { { earlyExit: boolean } & Record<string, any>} */ state) => {
    if (!state[confirm.name]) {
      state.earlyExit = true;
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

export const greeting = new ScenarioOutput(
  "greeting",
  `

Welcome to the Amazon EC2 basic usage scenario.

Before you launch an instances, you'll need to provide a few things:
 - A key pair - This is for SSH access to your EC2 instance. You only need to provide the name.
 - A security group - This is used for configuring access to your instance. Again, only the name is needed.
 - An IP address - Your public IP address will be fetched.
 - An Amazon Machine Image (AMI)
 - A compatible instance type`,
  { header: true, preformatted: true, skipWhen: skipWhenErrors },
);

export const provideKeyPairName = new ScenarioInput(
  "keyPairName",
  "Provide a name for a new key pair.",
  { type: "input", default: "ec2-example-key-pair", skipWhen: skipWhenErrors },
);

export const createKeyPair = new ScenarioAction(
  "createKeyPair",
  async (/** @type {State} */ state) => {
    try {
      // Create a key pair in Amazon EC2.
      const { KeyMaterial, KeyPairId } = await state.ec2Client.send(
        // A unique name for the key pair. Up to 255 ASCII characters.
        new CreateKeyPairCommand({ KeyName: state[provideKeyPairName.name] }),
      );

      state.keyPairId = KeyPairId;

      // Save the private key in a temporary location.
      state.tmpDirectory = await mkdtemp(join(tmpdir(), "ec2-scenario-tmp"));
      await writeFile(
        `${state.tmpDirectory}/${state[provideKeyPairName.name]}.pem`,
        KeyMaterial,
        {
          mode: 0o400,
        },
      );
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "InvalidKeyPair.Duplicate"
      ) {
        caught.message = `${caught.message}. Try another key name.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logKeyPair = new ScenarioOutput(
  "logKeyPair",
  (/** @type {State} */ state) =>
    `Created the key pair ${state[provideKeyPairName.name]}.`,
  { skipWhen: skipWhenErrors },
);

export const confirmDeleteKeyPair = new ScenarioInput(
  "confirmDeleteKeyPair",
  "Do you want to delete the key pair?",
  {
    type: "confirm",
    // Don't do anything when a key pair was never created.
    skipWhen: (/** @type {State} */ state) => !state.keyPairId,
  },
);

export const maybeDeleteKeyPair = new ScenarioAction(
  "deleteKeyPair",
  async (/** @type {State} */ state) => {
    try {
      // Delete a key pair by name from EC2
      await state.ec2Client.send(
        new DeleteKeyPairCommand({ KeyName: state[provideKeyPairName.name] }),
      );
    } catch (caught) {
      if (
        caught instanceof Error &&
        // Occurs when a required parameter (e.g. KeyName) is undefined.
        caught.name === "MissingParameter"
      ) {
        caught.message = `${caught.message}. Did you provide the required value?`;
      }
      state.errors.push(caught);
    }
  },
  {
    // Don't do anything when there's no key pair to delete or the user chooses
    // to keep it.
    skipWhen: (/** @type {State} */ state) =>
      !state.keyPairId || !state[confirmDeleteKeyPair.name],
  },
);

export const provideSecurityGroupName = new ScenarioInput(
  "securityGroupName",
  "Provide a name for a new security group.",
  { type: "input", default: "ec2-scenario-sg", skipWhen: skipWhenErrors },
);

export const createSecurityGroup = new ScenarioAction(
  "createSecurityGroup",
  async (/** @type {State} */ state) => {
    try {
      // Create a new security group that will be used to configure ingress/egress for
      // an EC2 instance.
      const { GroupId } = await state.ec2Client.send(
        new CreateSecurityGroupCommand({
          GroupName: state[provideSecurityGroupName.name],
          Description: "A security group for the Amazon EC2 example.",
        }),
      );
      state.securityGroupId = GroupId;
    } catch (caught) {
      if (caught instanceof Error && caught.name === "InvalidGroup.Duplicate") {
        caught.message = `${caught.message}. Please provide a different name for your security group.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logSecurityGroup = new ScenarioOutput(
  "logSecurityGroup",
  (/** @type {State} */ state) =>
    `Created the security group ${state.securityGroupId}.`,
  { skipWhen: skipWhenErrors },
);

export const confirmDeleteSecurityGroup = new ScenarioInput(
  "confirmDeleteSecurityGroup",
  "Do you want to delete the security group?",
  {
    type: "confirm",
    // Don't do anything when a security group was never created.
    skipWhen: (/** @type {State} */ state) => !state.securityGroupId,
  },
);

export const maybeDeleteSecurityGroup = new ScenarioAction(
  "deleteSecurityGroup",
  async (/** @type {State} */ state) => {
    try {
      // Delete the security group if the 'skipWhen' condition below is not met.
      await state.ec2Client.send(
        new DeleteSecurityGroupCommand({
          GroupId: state.securityGroupId,
        }),
      );
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "InvalidGroupId.Malformed"
      ) {
        caught.message = `${caught.message}. Please provide a valid GroupId.`;
      }
      state.errors.push(caught);
    }
  },
  {
    // Don't do anything when there's no security group to delete
    // or the user chooses to keep it.
    skipWhen: (/** @type {State} */ state) =>
      !state.securityGroupId || !state[confirmDeleteSecurityGroup.name],
  },
);

export const authorizeSecurityGroupIngress = new ScenarioAction(
  "authorizeSecurity",
  async (/** @type {State} */ state) => {
    try {
      // Get the public IP address of the machine running this example.
      const ipAddress = await new Promise((res, rej) => {
        get("http://checkip.amazonaws.com", (response) => {
          let data = "";
          response.on("data", (chunk) => {
            data += chunk;
          });
          response.on("end", () => res(data.trim()));
        }).on("error", (err) => {
          rej(err);
        });
      });
      state.ipAddress = ipAddress;
      // Allow ingress from the IP address above to the security group.
      // This will allow you to SSH into the EC2 instance.
      const command = new AuthorizeSecurityGroupIngressCommand({
        GroupId: state.securityGroupId,
        IpPermissions: [
          {
            IpProtocol: "tcp",
            FromPort: 22,
            ToPort: 22,
            IpRanges: [{ CidrIp: `${ipAddress}/32` }],
          },
        ],
      });

      await state.ec2Client.send(command);
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "InvalidGroupId.Malformed"
      ) {
        caught.message = `${caught.message}. Please provide a valid GroupId.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logSecurityGroupIngress = new ScenarioOutput(
  "logSecurityGroupIngress",
  (/** @type {State} */ state) =>
    `Allowed SSH access from your public IP: ${state.ipAddress}.`,
  { skipWhen: skipWhenErrors },
);

export const getImages = new ScenarioAction(
  "images",
  async (/** @type {State} */ state) => {
    const AMIs = [];
    // Some AWS services publish information about common artifacts as AWS Systems Manager (SSM)
    // public parameters. For example, the Amazon Elastic Compute Cloud (Amazon EC2)
    // service publishes information about Amazon Machine Images (AMIs) as public parameters.

    // Create the paginator for getting images. Actions that return multiple pages of
    // results have paginators to simplify those calls.
    const getParametersByPathPaginator = paginateGetParametersByPath(
      {
        // Not storing this client in state since it's only used once.
        client: new SSMClient({}),
      },
      {
        // The path to the public list of the latest amazon-linux instances.
        Path: "/aws/service/ami-amazon-linux-latest",
      },
    );

    try {
      for await (const page of getParametersByPathPaginator) {
        for (const param of page.Parameters) {
          // Filter by Amazon Linux 2
          if (param.Name.includes("amzn2")) {
            AMIs.push(param.Value);
          }
        }
      }
    } catch (caught) {
      if (caught instanceof Error && caught.name === "InvalidFilterValue") {
        caught.message = `${caught.message} Please provide a valid filter value for paginateGetParametersByPath.`;
      }
      state.errors.push(caught);
      return;
    }

    const imageDetails = [];
    const describeImagesPaginator = paginateDescribeImages(
      { client: state.ec2Client },
      // The images found from the call to SSM.
      { ImageIds: AMIs },
    );

    try {
      // Get more details for the images found above.
      for await (const page of describeImagesPaginator) {
        imageDetails.push(...(page.Images || []));
      }

      // Store the image details for later use.
      state.images = imageDetails;
    } catch (caught) {
      if (caught instanceof Error && caught.name === "InvalidAMIID.NotFound") {
        caught.message = `${caught.message}. Please provide a valid image id.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const provideImage = new ScenarioInput(
  "image",
  "Select one of the following images.",
  {
    type: "select",
    choices: (/** @type { State } */ state) =>
      state.images.map((image) => ({
        name: `${image.Description}`,
        value: image,
      })),
    default: (/** @type { State } */ state) => state.images[0],
    skipWhen: skipWhenErrors,
  },
);

export const getCompatibleInstanceTypes = new ScenarioAction(
  "getCompatibleInstanceTypes",
  async (/** @type {State} */ state) => {
    // Get more details about instance types that match the architecture of
    // the provided image.
    const paginator = paginateDescribeInstanceTypes(
      { client: state.ec2Client, pageSize: 25 },
      {
        Filters: [
          {
            Name: "processor-info.supported-architecture",
            // The value selected from provideImage()
            Values: [state.image.Architecture],
          },
          // Filter for smaller, less expensive, types.
          { Name: "instance-type", Values: ["*.micro", "*.small"] },
        ],
      },
    );

    const instanceTypes = [];

    try {
      for await (const page of paginator) {
        if (page.InstanceTypes.length) {
          instanceTypes.push(...(page.InstanceTypes || []));
        }
      }

      if (!instanceTypes.length) {
        state.errors.push(
          "No instance types matched the instance type filters.",
        );
      }
    } catch (caught) {
      if (caught instanceof Error && caught.name === "InvalidParameterValue") {
        caught.message = `${caught.message}. Please check the provided values and try again.`;
      }

      state.errors.push(caught);
    }

    state.instanceTypes = instanceTypes;
  },
  { skipWhen: skipWhenErrors },
);

export const provideInstanceType = new ScenarioInput(
  "instanceType",
  "Select an instance type.",
  {
    choices: (/** @type {State} */ state) =>
      state.instanceTypes.map((instanceType) => ({
        name: `${instanceType.InstanceType} - Memory:${instanceType.MemoryInfo.SizeInMiB}`,
        value: instanceType.InstanceType,
      })),
    type: "select",
    default: (/** @type {State} */ state) =>
      state.instanceTypes[0].InstanceType,
    skipWhen: skipWhenErrors,
  },
);

export const runInstance = new ScenarioAction(
  "runInstance",
  async (/** @type { State } */ state) => {
    const { Instances } = await state.ec2Client.send(
      new RunInstancesCommand({
        KeyName: state[provideKeyPairName.name],
        SecurityGroupIds: [state.securityGroupId],
        ImageId: state.image.ImageId,
        InstanceType: state[provideInstanceType.name],
        // Availability Zones have capacity limitations that may impact your ability to launch instances.
        // The `RunInstances` operation will only succeed if it can allocate at least the `MinCount` of instances.
        // However, EC2 will attempt to launch up to the `MaxCount` of instances, even if the full request cannot be satisfied.
        // If you need a specific number of instances, use `MinCount` and `MaxCount` set to the same value.
        // If you want to launch up to a certain number of instances, use `MaxCount` and let EC2 provision as many as possible.
        // If you require a minimum number of instances, but do not want to exceed a maximum, use both `MinCount` and `MaxCount`.
        MinCount: 1,
        MaxCount: 1,
      }),
    );

    state.instanceId = Instances[0].InstanceId;

    try {
      // Poll `DescribeInstanceStatus` until status is "ok".
      await waitUntilInstanceStatusOk(
        {
          client: state.ec2Client,
          maxWaitTime: MAX_WAITER_TIME_IN_SECONDS,
        },
        { InstanceIds: [Instances[0].InstanceId] },
      );
    } catch (caught) {
      if (caught instanceof Error && caught.name === "TimeoutError") {
        caught.message = `${caught.message}. Try increasing the maxWaitTime in the waiter.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logRunInstance = new ScenarioOutput(
  "logRunInstance",
  "The next step is to run your EC2 instance for the first time. This can take a few minutes.",
  { header: true, skipWhen: skipWhenErrors },
);

export const describeInstance = new ScenarioAction(
  "describeInstance",
  async (/** @type { State } */ state) => {
    /** @type { import("@aws-sdk/client-ec2").Instance[] } */
    const instances = [];

    try {
      const paginator = paginateDescribeInstances(
        {
          client: state.ec2Client,
        },
        {
          // Only get our created instance.
          InstanceIds: [state.instanceId],
        },
      );

      for await (const page of paginator) {
        for (const reservation of page.Reservations) {
          instances.push(...reservation.Instances);
        }
      }
      if (instances.length !== 1) {
        throw new Error(`Instance ${state.instanceId} not found.`);
      }

      // The only info we need is the IP address for SSH purposes.
      state.instanceIpAddress = instances[0].PublicIpAddress;
    } catch (caught) {
      if (caught instanceof Error && caught.name === "InvalidParameterValue") {
        caught.message = `${caught.message}. Please check provided values and try again.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logSSHConnectionInfo = new ScenarioOutput(
  "logSSHConnectionInfo",
  (/** @type { State } */ state) =>
    `You can now SSH into your instance using the following command:
ssh -i ${state.tmpDirectory}/${state[provideKeyPairName.name]}.pem ec2-user@${state.instanceIpAddress}`,
  { preformatted: true, skipWhen: skipWhenErrors },
);

export const logStopInstance = new ScenarioOutput(
  "logStopInstance",
  "Stopping your EC2 instance.",
  { skipWhen: skipWhenErrors },
);

export const stopInstance = new ScenarioAction(
  "stopInstance",
  async (/** @type { State } */ state) => {
    try {
      await state.ec2Client.send(
        new StopInstancesCommand({
          InstanceIds: [state.instanceId],
        }),
      );

      await waitUntilInstanceStopped(
        {
          client: state.ec2Client,
          maxWaitTime: MAX_WAITER_TIME_IN_SECONDS,
        },
        { InstanceIds: [state.instanceId] },
      );
    } catch (caught) {
      if (caught instanceof Error && caught.name === "TimeoutError") {
        caught.message = `${caught.message}. Try increasing the maxWaitTime in the waiter.`;
      }

      state.errors.push(caught);
    }
  },
  // Don't try to stop an instance that doesn't exist.
  { skipWhen: (/** @type { State } */ state) => !state.instanceId },
);

export const logIpAddressBehavior = new ScenarioOutput(
  "logIpAddressBehavior",
  [
    "When you run an instance, by default it's assigned an IP address.",
    "That IP address is not static. It will change every time the instance is restarted.",
    "The next step is to stop and restart your instance to demonstrate this behavior.",
  ].join(" "),
  { header: true, skipWhen: skipWhenErrors },
);

export const logStartInstance = new ScenarioOutput(
  "logStartInstance",
  (/** @type { State } */ state) => `Starting instance ${state.instanceId}`,
  { skipWhen: skipWhenErrors },
);

export const startInstance = new ScenarioAction(
  "startInstance",
  async (/** @type { State } */ state) => {
    try {
      await state.ec2Client.send(
        new StartInstancesCommand({
          InstanceIds: [state.instanceId],
        }),
      );

      await waitUntilInstanceStatusOk(
        {
          client: state.ec2Client,
          maxWaitTime: MAX_WAITER_TIME_IN_SECONDS,
        },
        { InstanceIds: [state.instanceId] },
      );
    } catch (caught) {
      if (caught instanceof Error && caught.name === "TimeoutError") {
        caught.message = `${caught.message}. Try increasing the maxWaitTime in the waiter.`;
      }

      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logIpAllocation = new ScenarioOutput(
  "logIpAllocation",
  [
    "It is possible to have a static IP address.",
    "To demonstrate this, an IP will be allocated and associated to your EC2 instance.",
  ].join(" "),
  { header: true, skipWhen: skipWhenErrors },
);

export const allocateIp = new ScenarioAction(
  "allocateIp",
  async (/** @type { State } */ state) => {
    try {
      // An Elastic IP address is allocated to your AWS account, and is yours until you release it.
      const { AllocationId, PublicIp } = await state.ec2Client.send(
        new AllocateAddressCommand({}),
      );
      state.allocationId = AllocationId;
      state.allocatedIpAddress = PublicIp;
    } catch (caught) {
      if (caught instanceof Error && caught.name === "MissingParameter") {
        caught.message = `${caught.message}. Did you provide these values?`;
      }
      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const associateIp = new ScenarioAction(
  "associateIp",
  async (/** @type { State } */ state) => {
    try {
      // Associate an allocated IP address to an EC2 instance. An IP address can be allocated
      // with the AllocateAddress action.
      const { AssociationId } = await state.ec2Client.send(
        new AssociateAddressCommand({
          AllocationId: state.allocationId,
          InstanceId: state.instanceId,
        }),
      );
      state.associationId = AssociationId;
      // Update the IP address that is being tracked to match
      // the one just associated.
      state.instanceIpAddress = state.allocatedIpAddress;
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "InvalidAllocationID.NotFound"
      ) {
        caught.message = `${caught.message}. Did you provide the ID of a valid Elastic IP address AllocationId?`;
      }
      state.errors.push(caught);
    }
  },
  { skipWhen: skipWhenErrors },
);

export const logStaticIpProof = new ScenarioOutput(
  "logStaticIpProof",
  "The IP address should remain the same even after stopping and starting the instance.",
  { header: true, skipWhen: skipWhenErrors },
);

export const logCleanUp = new ScenarioOutput(
  "logCleanUp",
  "That's it! You can choose to clean up the resources now, or clean them up on your own later.",
  { header: true, skipWhen: skipWhenErrors },
);

export const confirmDisassociateAddress = new ScenarioInput(
  "confirmDisassociateAddress",
  "Do you want to disassociate and release the static IP address created earlier?",
  {
    type: "confirm",
    skipWhen: (/** @type { State } */ state) => !state.associationId,
  },
);

export const maybeDisassociateAddress = new ScenarioAction(
  "maybeDisassociateAddress",
  async (/** @type { State } */ state) => {
    try {
      await state.ec2Client.send(
        new DisassociateAddressCommand({
          AssociationId: state.associationId,
        }),
      );
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "InvalidAssociationID.NotFound"
      ) {
        caught.message = `${caught.message}. Please provide a valid association ID.`;
      }
      state.errors.push(caught);
    }
  },
  {
    skipWhen: (/** @type { State } */ state) =>
      !state[confirmDisassociateAddress.name] || !state.associationId,
  },
);

export const maybeReleaseAddress = new ScenarioAction(
  "maybeReleaseAddress",
  async (/** @type { State } */ state) => {
    try {
      await state.ec2Client.send(
        new ReleaseAddressCommand({
          AllocationId: state.allocationId,
        }),
      );
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "InvalidAllocationID.NotFound"
      ) {
        caught.message = `${caught.message}. Please provide a valid AllocationID.`;
      }
      state.errors.push(caught);
    }
  },
  {
    skipWhen: (/** @type { State } */ state) =>
      !state[confirmDisassociateAddress.name] || !state.allocationId,
  },
);

export const confirmTerminateInstance = new ScenarioInput(
  "confirmTerminateInstance",
  "Do you want to terminate the instance?",
  // Don't do anything when an instance was never run.
  {
    skipWhen: (/** @type { State } */ state) => !state.instanceId,
    type: "confirm",
  },
);

export const maybeTerminateInstance = new ScenarioAction(
  "terminateInstance",
  async (/** @type { State } */ state) => {
    try {
      await state.ec2Client.send(
        new TerminateInstancesCommand({
          InstanceIds: [state.instanceId],
        }),
      );
      await waitUntilInstanceTerminated(
        { client: state.ec2Client },
        { InstanceIds: [state.instanceId] },
      );
    } catch (caught) {
      if (caught instanceof Error && caught.name === "TimeoutError") {
        caught.message = `${caught.message}. Try increasing the maxWaitTime in the waiter.`;
      }

      state.errors.push(caught);
    }
  },
  {
    // Don't do anything when there's no instance to terminate or the
    // use chooses not to terminate.
    skipWhen: (/** @type { State } */ state) =>
      !state.instanceId || !state[confirmTerminateInstance.name],
  },
);

export const deleteTemporaryDirectory = new ScenarioAction(
  "deleteTemporaryDirectory",
  async (/** @type { State } */ state) => {
    try {
      await rm(state.tmpDirectory, { recursive: true });
    } catch (caught) {
      state.errors.push(caught);
    }
  },
);

export const logErrors = new ScenarioOutput(
  "logErrors",
  (/** @type {State}*/ state) => {
    const errorList = state.errors
      .map((err) => ` - ${err.name}: ${err.message}`)
      .join("\n");
    return `Scenario errors found:\n${errorList}`;
  },
  {
    preformatted: true,
    header: true,
    // Don't log errors when there aren't any!
    skipWhen: (/** @type {State} */ state) => state.errors.length === 0,
  },
);
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AllocateAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/AllocateAddressCommand)
  + [AssociateAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/AssociateAddressCommand)
  + [AuthorizeSecurityGroupIngress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/AuthorizeSecurityGroupIngressCommand)
  + [CreateKeyPair](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateKeyPairCommand)
  + [CreateSecurityGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateSecurityGroupCommand)
  + [DeleteKeyPair](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteKeyPairCommand)
  + [DeleteSecurityGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteSecurityGroupCommand)
  + [DescribeImages](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeImagesCommand)
  + [DescribeInstanceTypes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstanceTypesCommand)
  + [DescribeInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstancesCommand)
  + [DescribeKeyPairs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeKeyPairsCommand)
  + [DescribeSecurityGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSecurityGroupsCommand)
  + [DisassociateAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DisassociateAddressCommand)
  + [ReleaseAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReleaseAddressCommand)
  + [RunInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RunInstancesCommand)
  + [StartInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/StartInstancesCommand)
  + [StopInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/StopInstancesCommand)
  + [TerminateInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/TerminateInstancesCommand)
  + [UnmonitorInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/UnmonitorInstancesCommand)

## 動作
<a name="actions"></a>

### `AllocateAddress`
<a name="ec2_AllocateAddress_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AllocateAddress`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { AllocateAddressCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Allocates an Elastic IP address to your AWS account.
 */
export const main = async () => {
  const client = new EC2Client({});
  const command = new AllocateAddressCommand({});

  try {
    const { AllocationId, PublicIp } = await client.send(command);
    console.log("A new IP address has been allocated to your account:");
    console.log(`ID: ${AllocationId} Public IP: ${PublicIp}`);
    console.log(
      "You can view your IP addresses in the AWS Management Console for Amazon EC2. Look under Network & Security > Elastic IPs",
    );
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide these values?`);
    } else {
      throw caught;
    }
  }
};
import { fileURLToPath } from "node:url";
// Call function if run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [AllocateAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/AllocateAddressCommand)。

### `AssociateAddress`
<a name="ec2_AssociateAddress_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AssociateAddress`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { AssociateAddressCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Associates an Elastic IP address, or carrier IP address (for instances that are in subnets in Wavelength Zones)
 * with an instance or a network interface.
 * @param {{ instanceId: string, allocationId: string }} options
 */
export const main = async ({ instanceId, allocationId }) => {
  const client = new EC2Client({});
  const command = new AssociateAddressCommand({
    // You need to allocate an Elastic IP address before associating it with an instance.
    // You can do that with the AllocateAddressCommand.
    AllocationId: allocationId,
    // You need to create an EC2 instance before an IP address can be associated with it.
    // You can do that with the RunInstancesCommand.
    InstanceId: instanceId,
  });

  try {
    const { AssociationId } = await client.send(command);
    console.log(
      `Address with allocation ID ${allocationId} is now associated with instance ${instanceId}.`,
      `The association ID is ${AssociationId}.`,
    );
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidAllocationID.NotFound"
    ) {
      console.warn(
        `${caught.message}. Did you provide the ID of a valid Elastic IP address AllocationId?`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [AssociateAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/AssociateAddressCommand)。

### `AuthorizeSecurityGroupIngress`
<a name="ec2_AuthorizeSecurityGroupIngress_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AuthorizeSecurityGroupIngress`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import {
  AuthorizeSecurityGroupIngressCommand,
  EC2Client,
} from "@aws-sdk/client-ec2";

/**
 * Adds the specified inbound (ingress) rules to a security group.
 * @param {{ groupId: string, ipAddress: string }} options
 */
export const main = async ({ groupId, ipAddress }) => {
  const client = new EC2Client({});
  const command = new AuthorizeSecurityGroupIngressCommand({
    // Use a group ID from the AWS console or
    // the DescribeSecurityGroupsCommand.
    GroupId: groupId,
    IpPermissions: [
      {
        IpProtocol: "tcp",
        FromPort: 22,
        ToPort: 22,
        // The IP address to authorize.
        // For more information on this notation, see
        // https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing#CIDR_notation
        IpRanges: [{ CidrIp: `${ipAddress}/32` }],
      },
    ],
  });

  try {
    const { SecurityGroupRules } = await client.send(command);
    console.log(JSON.stringify(SecurityGroupRules, null, 2));
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidGroupId.Malformed") {
      console.warn(`${caught.message}. Please provide a valid GroupId.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [AuthorizeSecurityGroupIngress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/AuthorizeSecurityGroupIngressCommand)。

### `CreateKeyPair`
<a name="ec2_CreateKeyPair_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateKeyPair`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { CreateKeyPairCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Creates an ED25519 or 2048-bit RSA key pair with the specified name and in the specified PEM or PPK format.
 * Amazon EC2 stores the public key and displays the private key for you to save to a file.
 * @param {{ keyName: string }} options
 */
export const main = async ({ keyName }) => {
  const client = new EC2Client({});
  const command = new CreateKeyPairCommand({
    KeyName: keyName,
  });

  try {
    const { KeyMaterial, KeyName } = await client.send(command);
    console.log(KeyName);
    console.log(KeyMaterial);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidKeyPair.Duplicate") {
      console.warn(`${caught.message}. Try another key name.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateKeyPair](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateKeyPairCommand)。

### `CreateLaunchTemplate`
<a name="ec2_CreateLaunchTemplate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateLaunchTemplate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const ssmClient = new SSMClient({});
    const { Parameter } = await ssmClient.send(
      new GetParameterCommand({
        Name: "/aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2",
      }),
    );
    const ec2Client = new EC2Client({});
    await ec2Client.send(
      new CreateLaunchTemplateCommand({
        LaunchTemplateName: NAMES.launchTemplateName,
        LaunchTemplateData: {
          InstanceType: "t3.micro",
          ImageId: Parameter.Value,
          IamInstanceProfile: { Name: NAMES.instanceProfileName },
          UserData: readFileSync(
            join(RESOURCES_PATH, "server_startup_script.sh"),
          ).toString("base64"),
          KeyName: NAMES.keyPairName,
        },
      }),
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateLaunchTemplateCommand)。

### `CreateSecurityGroup`
<a name="ec2_CreateSecurityGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateSecurityGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { CreateSecurityGroupCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Creates a security group.
 * @param {{ groupName: string, description: string }} options
 */
export const main = async ({ groupName, description }) => {
  const client = new EC2Client({});
  const command = new CreateSecurityGroupCommand({
    // Up to 255 characters in length. Cannot start with sg-.
    GroupName: groupName,
    // Up to 255 characters in length.
    Description: description,
  });

  try {
    const { GroupId } = await client.send(command);
    console.log(GroupId);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidParameterValue") {
      console.warn(`${caught.message}.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateSecurityGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateSecurityGroupCommand)。

### `DeleteKeyPair`
<a name="ec2_DeleteKeyPair_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteKeyPair`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DeleteKeyPairCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Deletes the specified key pair, by removing the public key from Amazon EC2.
 * @param {{ keyName: string }} options
 */
export const main = async ({ keyName }) => {
  const client = new EC2Client({});
  const command = new DeleteKeyPairCommand({
    KeyName: keyName,
  });

  try {
    await client.send(command);
    console.log("Successfully deleted key pair.");
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide the required value?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteKeyPair](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteKeyPairCommand)。

### `DeleteLaunchTemplate`
<a name="ec2_DeleteLaunchTemplate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteLaunchTemplate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
      await client.send(
        new DeleteLaunchTemplateCommand({
          LaunchTemplateName: NAMES.launchTemplateName,
        }),
      );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteLaunchTemplateCommand)。

### `DeleteSecurityGroup`
<a name="ec2_DeleteSecurityGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteSecurityGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DeleteSecurityGroupCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Deletes a security group.
 * @param {{ groupId: string }} options
 */
export const main = async ({ groupId }) => {
  const client = new EC2Client({});
  const command = new DeleteSecurityGroupCommand({
    GroupId: groupId,
  });

  try {
    await client.send(command);
    console.log("Security group deleted successfully.");
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidGroupId.Malformed") {
      console.warn(`${caught.message}. Please provide a valid GroupId.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteSecurityGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteSecurityGroupCommand)。

### `DescribeAddresses`
<a name="ec2_DescribeAddresses_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeAddresses`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DescribeAddressesCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Describes the specified Elastic IP addresses or all of your Elastic IP addresses.
 * @param {{ allocationId: string }} options
 */
export const main = async ({ allocationId }) => {
  const client = new EC2Client({});
  const command = new DescribeAddressesCommand({
    // You can omit this property to show all addresses.
    AllocationIds: [allocationId],
  });

  try {
    const { Addresses } = await client.send(command);
    const addressList = Addresses.map((address) => ` • ${address.PublicIp}`);
    console.log("Elastic IP addresses:");
    console.log(addressList.join("\n"));
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidAllocationID.NotFound"
    ) {
      console.warn(`${caught.message}. Please provide a valid AllocationId.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeAddresses](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeAddressesCommand)。

### `DescribeIamInstanceProfileAssociations`
<a name="ec2_DescribeIamInstanceProfileAssociations_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeIamInstanceProfileAssociations`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
      const ec2Client = new EC2Client({});
      const { IamInstanceProfileAssociations } = await ec2Client.send(
        new DescribeIamInstanceProfileAssociationsCommand({
          Filters: [
            { Name: "instance-id", Values: [state.targetInstance.InstanceId] },
          ],
        }),
      );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeIamInstanceProfileAssociations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeIamInstanceProfileAssociationsCommand)。

### `DescribeImages`
<a name="ec2_DescribeImages_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeImages`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, paginateDescribeImages } from "@aws-sdk/client-ec2";

/**
 * Describes the specified images (AMIs, AKIs, and ARIs) available to you or all of the images available to you.
 * @param {{ architecture: string, pageSize: number }} options
 */
export const main = async ({ architecture, pageSize }) => {
  pageSize = Number.parseInt(pageSize);
  const client = new EC2Client({});

  // The paginate function is a wrapper around the base command.
  const paginator = paginateDescribeImages(
    // Without limiting the page size, this call can take a long time. pageSize is just sugar for
    // the MaxResults property in the base command.
    { client, pageSize },
    {
      // There are almost 70,000 images available. Be specific with your filtering
      // to increase efficiency.
      // See https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-ec2/interfaces/describeimagescommandinput.html#filters
      Filters: [{ Name: "architecture", Values: [architecture] }],
    },
  );

  /**
   * @type {import('@aws-sdk/client-ec2').Image[]}
   */
  const images = [];
  let recordsScanned = 0;

  try {
    for await (const page of paginator) {
      recordsScanned += pageSize;
      if (page.Images.length) {
        images.push(...page.Images);
        break;
      }
      console.log(
        `No matching image found yet. Searched ${recordsScanned} records.`,
      );
    }

    if (images.length) {
      console.log(
        `Found ${images.length} images:\n\n${images.map((image) => image.Name).join("\n")}\n`,
      );
    } else {
      console.log(
        `No matching images found. Searched ${recordsScanned} records.\n`,
      );
    }

    return images;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidParameterValue") {
      console.warn(`${caught.message}`);
      return [];
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [DescribeImages](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeImagesCommand)。

### `DescribeInstanceTypes`
<a name="ec2_DescribeInstanceTypes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeInstanceTypes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, paginateDescribeInstanceTypes } from "@aws-sdk/client-ec2";

/**
 * Describes the specified instance types. By default, all instance types for the
 * current Region are described. Alternatively, you can filter the results.
 * @param {{ pageSize: string, supportedArch: string[], freeTier: boolean }} options
 */
export const main = async ({ pageSize, supportedArch, freeTier }) => {
  pageSize = Number.parseInt(pageSize);
  const client = new EC2Client({});

  // The paginate function is a wrapper around the underlying command.
  const paginator = paginateDescribeInstanceTypes(
    // Without limiting the page size, this call can take a long time. pageSize is just sugar for
    // the MaxResults property in the underlying command.
    { client, pageSize },
    {
      Filters: [
        {
          Name: "processor-info.supported-architecture",
          Values: supportedArch,
        },
        { Name: "free-tier-eligible", Values: [freeTier ? "true" : "false"] },
      ],
    },
  );

  try {
    /**
     * @type {import('@aws-sdk/client-ec2').InstanceTypeInfo[]}
     */
    const instanceTypes = [];

    for await (const page of paginator) {
      if (page.InstanceTypes.length) {
        instanceTypes.push(...page.InstanceTypes);

        // When we have at least 1 result, we can stop.
        if (instanceTypes.length >= 1) {
          break;
        }
      }
    }
    console.log(
      `Memory size in MiB for matching instance types:\n\n${instanceTypes.map((it) => `${it.InstanceType}: ${it.MemoryInfo.SizeInMiB} MiB`).join("\n")}`,
    );
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidParameterValue") {
      console.warn(`${caught.message}`);
      return [];
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [DescribeInstanceTypes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstanceTypesCommand)。

### `DescribeInstances`
<a name="ec2_DescribeInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, paginateDescribeInstances } from "@aws-sdk/client-ec2";

/**
 * List all of your EC2 instances running with the provided architecture that
 * were launched in the past month.
 * @param {{ pageSize: string, architectures: string[] }} options
 */
export const main = async ({ pageSize, architectures }) => {
  pageSize = Number.parseInt(pageSize);
  const client = new EC2Client({});
  const d = new Date();
  const year = d.getFullYear();
  const month = `0${d.getMonth() + 1}`.slice(-2);
  const launchTimePattern = `${year}-${month}-*`;

  const paginator = paginateDescribeInstances(
    {
      client,
      pageSize,
    },
    {
      Filters: [
        { Name: "architecture", Values: architectures },
        { Name: "instance-state-name", Values: ["running"] },
        {
          Name: "launch-time",
          Values: [launchTimePattern],
        },
      ],
    },
  );

  try {
    /**
     * @type {import('@aws-sdk/client-ec2').Instance[]}
     */
    const instanceList = [];
    for await (const page of paginator) {
      const { Reservations } = page;
      for (const reservation of Reservations) {
        instanceList.push(...reservation.Instances);
      }
    }
    console.log(
      `Running instances launched this month:\n\n${instanceList.map((instance) => instance.InstanceId).join("\n")}`,
    );
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidParameterValue") {
      console.warn(`${caught.message}.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstancesCommand)。

### `DescribeKeyPairs`
<a name="ec2_DescribeKeyPairs_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeKeyPairs`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DescribeKeyPairsCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * List all key pairs in the current AWS account.
 * @param {{ dryRun: boolean }}
 */
export const main = async ({ dryRun }) => {
  const client = new EC2Client({});
  const command = new DescribeKeyPairsCommand({ DryRun: dryRun });

  try {
    const { KeyPairs } = await client.send(command);
    const keyPairList = KeyPairs.map(
      (kp) => ` • ${kp.KeyPairId}: ${kp.KeyName}`,
    ).join("\n");
    console.log("The following key pairs were found in your account:");
    console.log(keyPairList);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "DryRunOperation") {
      console.log(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeKeyPairs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeKeyPairsCommand)。

### `DescribeRegions`
<a name="ec2_DescribeRegions_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeRegions`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DescribeRegionsCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * List all available AWS regions.
 * @param {{ regionNames: string[], includeOptInRegions: boolean }} options
 */
export const main = async ({ regionNames, includeOptInRegions }) => {
  const client = new EC2Client({});
  const command = new DescribeRegionsCommand({
    // By default this command will not show regions that require you to opt-in.
    // When AllRegions is true, even the regions that require opt-in will be returned.
    AllRegions: includeOptInRegions,
    // You can omit the Filters property if you want to get all regions.
    Filters: regionNames?.length
      ? [
          {
            Name: "region-name",
            // You can specify multiple values for a filter.
            // You can also use '*' as a wildcard. This will return all
            // of the regions that start with `us-east-`.
            Values: regionNames,
          },
        ]
      : undefined,
  });

  try {
    const { Regions } = await client.send(command);
    const regionsList = Regions.map((reg) => ` • ${reg.RegionName}`);
    console.log("Found regions:");
    console.log(regionsList.join("\n"));
  } catch (caught) {
    if (caught instanceof Error && caught.name === "DryRunOperation") {
      console.log(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [DescribeRegions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeRegionsCommand)。

### `DescribeSecurityGroups`
<a name="ec2_DescribeSecurityGroups_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeSecurityGroups`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DescribeSecurityGroupsCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Describes the specified security groups or all of your security groups.
 * @param {{ groupIds: string[] }} options
 */
export const main = async ({ groupIds = [] }) => {
  const client = new EC2Client({});
  const command = new DescribeSecurityGroupsCommand({
    GroupIds: groupIds,
  });

  try {
    const { SecurityGroups } = await client.send(command);
    const sgList = SecurityGroups.map(
      (sg) => `• ${sg.GroupName} (${sg.GroupId}): ${sg.Description}`,
    ).join("\n");
    if (sgList.length) {
      console.log(`Security groups:\n${sgList}`);
    } else {
      console.log("No security groups found.");
    }
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidGroupId.Malformed") {
      console.warn(`${caught.message}. Please provide a valid GroupId.`);
    } else if (
      caught instanceof Error &&
      caught.name === "InvalidGroup.NotFound"
    ) {
      console.warn(caught.message);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeSecurityGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSecurityGroupsCommand)。

### `DescribeSubnets`
<a name="ec2_DescribeSubnets_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeSubnets`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new EC2Client({});
    const { Subnets } = await client.send(
      new DescribeSubnetsCommand({
        Filters: [
          { Name: "vpc-id", Values: [state.defaultVpc] },
          { Name: "availability-zone", Values: state.availabilityZoneNames },
          { Name: "default-for-az", Values: ["true"] },
        ],
      }),
    );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeSubnets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSubnetsCommand)。

### `DescribeVpcs`
<a name="ec2_DescribeVpcs_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeVpcs`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new EC2Client({});
    const { Vpcs } = await client.send(
      new DescribeVpcsCommand({
        Filters: [{ Name: "is-default", Values: ["true"] }],
      }),
    );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeVpcs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeVpcsCommand)。

### `DisassociateAddress`
<a name="ec2_DisassociateAddress_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DisassociateAddress`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { DisassociateAddressCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Disassociate an Elastic IP address from an instance.
 * @param {{ associationId: string }} options
 */
export const main = async ({ associationId }) => {
  const client = new EC2Client({});
  const command = new DisassociateAddressCommand({
    // You can also use PublicIp, but that is for EC2 classic which is being retired.
    AssociationId: associationId,
  });

  try {
    await client.send(command);
    console.log("Successfully disassociated address");
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidAssociationID.NotFound"
    ) {
      console.warn(`${caught.message}.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DisassociateAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DisassociateAddressCommand)。

### `MonitorInstances`
<a name="ec2_MonitorInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `MonitorInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, MonitorInstancesCommand } from "@aws-sdk/client-ec2";

/**
 * Turn on detailed monitoring for the selected instance.
 * By default, metrics are sent to Amazon CloudWatch every 5 minutes.
 * For a cost you can enable detailed monitoring which sends metrics every minute.
 * @param {{ instanceIds: string[] }} options
 */
export const main = async ({ instanceIds }) => {
  const client = new EC2Client({});
  const command = new MonitorInstancesCommand({
    InstanceIds: instanceIds,
  });

  try {
    const { InstanceMonitorings } = await client.send(command);
    const instancesBeingMonitored = InstanceMonitorings.map(
      (im) =>
        ` • Detailed monitoring state for ${im.InstanceId} is ${im.Monitoring.State}.`,
    );
    console.log("Monitoring status:");
    console.log(instancesBeingMonitored.join("\n"));
  } catch (caught) {
    if (caught instanceof Error && caught.name === "InvalidParameterValue") {
      console.warn(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [MonitorInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/MonitorInstancesCommand)。

### `RebootInstances`
<a name="ec2_RebootInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `RebootInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, RebootInstancesCommand } from "@aws-sdk/client-ec2";

/**
 * Requests a reboot of the specified instances. This operation is asynchronous;
 * it only queues a request to reboot the specified instances.
 * @param {{ instanceIds: string[] }} options
 */
export const main = async ({ instanceIds }) => {
  const client = new EC2Client({});
  const command = new RebootInstancesCommand({
    InstanceIds: instanceIds,
  });

  try {
    await client.send(command);
    console.log("Instance rebooted successfully.");
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidInstanceID.NotFound"
    ) {
      console.warn(
        `${caught.message}. Please provide the InstanceId of a valid instance to reboot.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [RebootInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RebootInstancesCommand)。

### `ReleaseAddress`
<a name="ec2_ReleaseAddress_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ReleaseAddress`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { ReleaseAddressCommand, EC2Client } from "@aws-sdk/client-ec2";

/**
 * Release an Elastic IP address.
 * @param {{ allocationId: string }} options
 */
export const main = async ({ allocationId }) => {
  const client = new EC2Client({});
  const command = new ReleaseAddressCommand({
    // You can also use PublicIp, but that is for EC2 classic which is being retired.
    AllocationId: allocationId,
  });

  try {
    await client.send(command);
    console.log("Successfully released address.");
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidAllocationID.NotFound"
    ) {
      console.warn(`${caught.message}. Please provide a valid AllocationID.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ReleaseAddress](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReleaseAddressCommand)。

### `ReplaceIamInstanceProfileAssociation`
<a name="ec2_ReplaceIamInstanceProfileAssociation_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ReplaceIamInstanceProfileAssociation`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        ec2Client.send(
          new ReplaceIamInstanceProfileAssociationCommand({
            AssociationId: state.instanceProfileAssociationId,
            IamInstanceProfile: { Name: NAMES.ssmOnlyInstanceProfileName },
          }),
        ),
      );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK SDK API 參考》**中的 [ReplaceIamInstanceProfileAssociation](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReplaceIamInstanceProfileAssociationCommand)。

### `RunInstances`
<a name="ec2_RunInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `RunInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, RunInstancesCommand } from "@aws-sdk/client-ec2";

/**
 * Create new EC2 instances.
 * @param {{
 *  keyName: string,
 *  securityGroupIds: string[],
 *  imageId: string,
 *  instanceType: import('@aws-sdk/client-ec2')._InstanceType,
 *  minCount?: number,
 *  maxCount?: number }} options
 */
export const main = async ({
  keyName,
  securityGroupIds,
  imageId,
  instanceType,
  minCount = "1",
  maxCount = "1",
}) => {
  const client = new EC2Client({});
  minCount = Number.parseInt(minCount);
  maxCount = Number.parseInt(maxCount);
  const command = new RunInstancesCommand({
    // Your key pair name.
    KeyName: keyName,
    // Your security group.
    SecurityGroupIds: securityGroupIds,
    // An Amazon Machine Image (AMI). There are multiple ways to search for AMIs. For more information, see:
    // https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/finding-an-ami.html
    ImageId: imageId,
    // An instance type describing the resources provided to your instance. There are multiple
    // ways to search for instance types. For more information see:
    // https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-discovery.html
    InstanceType: instanceType,
    // Availability Zones have capacity limitations that may impact your ability to launch instances.
    // The `RunInstances` operation will only succeed if it can allocate at least the `MinCount` of instances.
    // However, EC2 will attempt to launch up to the `MaxCount` of instances, even if the full request cannot be satisfied.
    // If you need a specific number of instances, use `MinCount` and `MaxCount` set to the same value.
    // If you want to launch up to a certain number of instances, use `MaxCount` and let EC2 provision as many as possible.
    // If you require a minimum number of instances, but do not want to exceed a maximum, use both `MinCount` and `MaxCount`.
    MinCount: minCount,
    MaxCount: maxCount,
  });

  try {
    const { Instances } = await client.send(command);
    const instanceList = Instances.map(
      (instance) => `• ${instance.InstanceId}`,
    ).join("\n");
    console.log(`Launched instances:\n${instanceList}`);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceCountExceeded") {
      console.warn(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [RunInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RunInstancesCommand)。

### `StartInstances`
<a name="ec2_StartInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, StartInstancesCommand } from "@aws-sdk/client-ec2";
import { fileURLToPath } from "node:url";
import { parseArgs } from "node:util";

/**
 * Starts an Amazon EBS-backed instance that you've previously stopped.
 * @param {{ instanceIds }} options
 */
export const main = async ({ instanceIds }) => {
  const client = new EC2Client({});
  const command = new StartInstancesCommand({
    InstanceIds: instanceIds,
  });

  try {
    const { StartingInstances } = await client.send(command);
    const instanceIdList = StartingInstances.map(
      (instance) => ` • ${instance.InstanceId}`,
    );
    console.log("Starting instances:");
    console.log(instanceIdList.join("\n"));
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidInstanceID.NotFound"
    ) {
      console.warn(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/StartInstancesCommand)。

### `StopInstances`
<a name="ec2_StopInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StopInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, StopInstancesCommand } from "@aws-sdk/client-ec2";
import { fileURLToPath } from "node:url";
import { parseArgs } from "node:util";

/**
 * Stop one or more EC2 instances.
 * @param {{ instanceIds: string[] }} options
 */
export const main = async ({ instanceIds }) => {
  const client = new EC2Client({});
  const command = new StopInstancesCommand({
    InstanceIds: instanceIds,
  });

  try {
    const { StoppingInstances } = await client.send(command);
    const instanceIdList = StoppingInstances.map(
      (instance) => ` • ${instance.InstanceId}`,
    );
    console.log("Stopping instances:");
    console.log(instanceIdList.join("\n"));
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidInstanceID.NotFound"
    ) {
      console.warn(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StopInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/StopInstancesCommand)。

### `TerminateInstances`
<a name="ec2_TerminateInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `TerminateInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, TerminateInstancesCommand } from "@aws-sdk/client-ec2";
import { fileURLToPath } from "node:url";
import { parseArgs } from "node:util";

/**
 * Terminate one or more EC2 instances.
 * @param {{ instanceIds: string[] }} options
 */
export const main = async ({ instanceIds }) => {
  const client = new EC2Client({});
  const command = new TerminateInstancesCommand({
    InstanceIds: instanceIds,
  });

  try {
    const { TerminatingInstances } = await client.send(command);
    const instanceList = TerminatingInstances.map(
      (instance) => ` • ${instance.InstanceId}`,
    );
    console.log("Terminating instances:");
    console.log(instanceList.join("\n"));
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidInstanceID.NotFound"
    ) {
      console.warn(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [TerminateInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/TerminateInstancesCommand)。

### `UnmonitorInstances`
<a name="ec2_UnmonitorInstances_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UnmonitorInstances`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ec2#code-examples)中設定和執行。

```
import { EC2Client, UnmonitorInstancesCommand } from "@aws-sdk/client-ec2";
import { fileURLToPath } from "node:url";
import { parseArgs } from "node:util";

/**
 * Turn off detailed monitoring for the selected instance.
 * @param {{ instanceIds: string[] }} options
 */
export const main = async ({ instanceIds }) => {
  const client = new EC2Client({});
  const command = new UnmonitorInstancesCommand({
    InstanceIds: instanceIds,
  });

  try {
    const { InstanceMonitorings } = await client.send(command);
    const instanceMonitoringsList = InstanceMonitorings.map(
      (im) =>
        ` • Detailed monitoring state for ${im.InstanceId} is ${im.Monitoring.State}.`,
    );
    console.log("Monitoring status:");
    console.log(instanceMonitoringsList.join("\n"));
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidInstanceID.NotFound"
    ) {
      console.warn(`${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UnmonitorInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/UnmonitorInstancesCommand)。

## 案例
<a name="scenarios"></a>

### 建置及管理彈性服務
<a name="cross_ResilientService_javascript_3_topic"></a>

下列程式碼範例會示範如何建立負載平衡的 Web 服務，以傳回書籍、影片和歌曲建議。此範例顯示服務如何回應失故障，以及如何在發生故障時重組服務以提高復原能力。
+ 使用 Amazon EC2 Auto Scaling 群組根據啟動範本建立 Amazon Elastic Compute Cloud (Amazon EC2) 執行個體，並將執行個體數量保持在指定範圍內。
+ 使用 Elastic Load Balancing 處理和分發 HTTP 請求。
+ 監控 Auto Scaling 群組中執行個體的運作狀態，並且只將請求轉送給運作良好的執行個體。
+ 在每個 EC2 執行個體上執行一個 Python Web 伺服器來處理 HTTP 請求。Web 伺服器會回應建議和運作狀態檢查。
+ 使用 Amazon DynamoDB 資料表模擬建議服務。
+ 透過更新 AWS Systems Manager 參數來控制 Web 伺服器對請求和運作狀態檢查的回應。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。
在命令提示中執行互動式案例。  

```
#!/usr/bin/env node
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0

import {
  Scenario,
  parseScenarioArgs,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * The workflow steps are split into three stages:
 *   - deploy
 *   - demo
 *   - destroy
 *
 * Each of these stages has a corresponding file prefixed with steps-*.
 */
import { deploySteps } from "./steps-deploy.js";
import { demoSteps } from "./steps-demo.js";
import { destroySteps } from "./steps-destroy.js";

/**
 * The context is passed to every scenario. Scenario steps
 * will modify the context.
 */
const context = {};

/**
 * Three Scenarios are created for the workflow. A Scenario is an orchestration class
 * that simplifies running a series of steps.
 */
export const scenarios = {
  // Deploys all resources necessary for the workflow.
  deploy: new Scenario("Resilient Workflow - Deploy", deploySteps, context),
  // Demonstrates how a fragile web service can be made more resilient.
  demo: new Scenario("Resilient Workflow - Demo", demoSteps, context),
  // Destroys the resources created for the workflow.
  destroy: new Scenario("Resilient Workflow - Destroy", destroySteps, context),
};

// Call function if run directly
import { fileURLToPath } from "node:url";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Resilient Workflow",
    synopsis:
      "node index.js --scenario <deploy | demo | destroy> [-h|--help] [-y|--yes] [-v|--verbose]",
    description: "Deploy and interact with scalable EC2 instances.",
  });
}
```
建立步驟以部署所有資源。  

```
import { join } from "node:path";
import { readFileSync, writeFileSync } from "node:fs";
import axios from "axios";

import {
  BatchWriteItemCommand,
  CreateTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  CreateKeyPairCommand,
  CreateLaunchTemplateCommand,
  DescribeAvailabilityZonesCommand,
  DescribeVpcsCommand,
  DescribeSubnetsCommand,
  DescribeSecurityGroupsCommand,
  AuthorizeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  AttachRolePolicyCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import { SSMClient, GetParameterCommand } from "@aws-sdk/client-ssm";
import {
  CreateAutoScalingGroupCommand,
  AutoScalingClient,
  AttachLoadBalancerTargetGroupsCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  CreateListenerCommand,
  CreateLoadBalancerCommand,
  CreateTargetGroupCommand,
  ElasticLoadBalancingV2Client,
  waitUntilLoadBalancerAvailable,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { saveState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH, ROOT } from "./constants.js";
import { initParamsSteps } from "./steps-reset-params.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const deploySteps = [
  new ScenarioOutput("introduction", MESSAGES.introduction, { header: true }),
  new ScenarioInput("confirmDeployment", MESSAGES.confirmDeployment, {
    type: "confirm",
  }),
  new ScenarioAction(
    "handleConfirmDeployment",
    (c) => c.confirmDeployment === false && process.exit(),
  ),
  new ScenarioOutput(
    "creatingTable",
    MESSAGES.creatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("createTable", async () => {
    const client = new DynamoDBClient({});
    await client.send(
      new CreateTableCommand({
        TableName: NAMES.tableName,
        ProvisionedThroughput: {
          ReadCapacityUnits: 5,
          WriteCapacityUnits: 5,
        },
        AttributeDefinitions: [
          {
            AttributeName: "MediaType",
            AttributeType: "S",
          },
          {
            AttributeName: "ItemId",
            AttributeType: "N",
          },
        ],
        KeySchema: [
          {
            AttributeName: "MediaType",
            KeyType: "HASH",
          },
          {
            AttributeName: "ItemId",
            KeyType: "RANGE",
          },
        ],
      }),
    );
    await waitUntilTableExists({ client }, { TableName: NAMES.tableName });
  }),
  new ScenarioOutput(
    "createdTable",
    MESSAGES.createdTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "populatingTable",
    MESSAGES.populatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("populateTable", () => {
    const client = new DynamoDBClient({});
    /**
     * @type {{ default: import("@aws-sdk/client-dynamodb").PutRequest['Item'][] }}
     */
    const recommendations = JSON.parse(
      readFileSync(join(RESOURCES_PATH, "recommendations.json")),
    );

    return client.send(
      new BatchWriteItemCommand({
        RequestItems: {
          [NAMES.tableName]: recommendations.map((item) => ({
            PutRequest: { Item: item },
          })),
        },
      }),
    );
  }),
  new ScenarioOutput(
    "populatedTable",
    MESSAGES.populatedTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "creatingKeyPair",
    MESSAGES.creatingKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioAction("createKeyPair", async () => {
    const client = new EC2Client({});
    const { KeyMaterial } = await client.send(
      new CreateKeyPairCommand({
        KeyName: NAMES.keyPairName,
      }),
    );

    writeFileSync(`${NAMES.keyPairName}.pem`, KeyMaterial, { mode: 0o600 });
  }),
  new ScenarioOutput(
    "createdKeyPair",
    MESSAGES.createdKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioOutput(
    "creatingInstancePolicy",
    MESSAGES.creatingInstancePolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    ),
  ),
  new ScenarioAction("createInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const {
      Policy: { Arn },
    } = await client.send(
      new CreatePolicyCommand({
        PolicyName: NAMES.instancePolicyName,
        PolicyDocument: readFileSync(
          join(RESOURCES_PATH, "instance_policy.json"),
        ),
      }),
    );
    state.instancePolicyArn = Arn;
  }),
  new ScenarioOutput("createdInstancePolicy", (state) =>
    MESSAGES.createdInstancePolicy
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_POLICY_ARN}", state.instancePolicyArn),
  ),
  new ScenarioOutput(
    "creatingInstanceRole",
    MESSAGES.creatingInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioAction("createInstanceRole", () => {
    const client = new IAMClient({});
    return client.send(
      new CreateRoleCommand({
        RoleName: NAMES.instanceRoleName,
        AssumeRolePolicyDocument: readFileSync(
          join(ROOT, "assume-role-policy.json"),
        ),
      }),
    );
  }),
  new ScenarioOutput(
    "createdInstanceRole",
    MESSAGES.createdInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioOutput(
    "attachingPolicyToRole",
    MESSAGES.attachingPolicyToRole
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName)
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName),
  ),
  new ScenarioAction("attachPolicyToRole", async (state) => {
    const client = new IAMClient({});
    await client.send(
      new AttachRolePolicyCommand({
        RoleName: NAMES.instanceRoleName,
        PolicyArn: state.instancePolicyArn,
      }),
    );
  }),
  new ScenarioOutput(
    "attachedPolicyToRole",
    MESSAGES.attachedPolicyToRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioOutput(
    "creatingInstanceProfile",
    MESSAGES.creatingInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    ),
  ),
  new ScenarioAction("createInstanceProfile", async (state) => {
    const client = new IAMClient({});
    const {
      InstanceProfile: { Arn },
    } = await client.send(
      new CreateInstanceProfileCommand({
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
    state.instanceProfileArn = Arn;

    await waitUntilInstanceProfileExists(
      { client },
      { InstanceProfileName: NAMES.instanceProfileName },
    );
  }),
  new ScenarioOutput("createdInstanceProfile", (state) =>
    MESSAGES.createdInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_PROFILE_ARN}", state.instanceProfileArn),
  ),
  new ScenarioOutput(
    "addingRoleToInstanceProfile",
    MESSAGES.addingRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioAction("addRoleToInstanceProfile", () => {
    const client = new IAMClient({});
    return client.send(
      new AddRoleToInstanceProfileCommand({
        RoleName: NAMES.instanceRoleName,
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
  }),
  new ScenarioOutput(
    "addedRoleToInstanceProfile",
    MESSAGES.addedRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  ...initParamsSteps,
  new ScenarioOutput("creatingLaunchTemplate", MESSAGES.creatingLaunchTemplate),
  new ScenarioAction("createLaunchTemplate", async () => {
    const ssmClient = new SSMClient({});
    const { Parameter } = await ssmClient.send(
      new GetParameterCommand({
        Name: "/aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2",
      }),
    );
    const ec2Client = new EC2Client({});
    await ec2Client.send(
      new CreateLaunchTemplateCommand({
        LaunchTemplateName: NAMES.launchTemplateName,
        LaunchTemplateData: {
          InstanceType: "t3.micro",
          ImageId: Parameter.Value,
          IamInstanceProfile: { Name: NAMES.instanceProfileName },
          UserData: readFileSync(
            join(RESOURCES_PATH, "server_startup_script.sh"),
          ).toString("base64"),
          KeyName: NAMES.keyPairName,
        },
      }),
    );
  }),
  new ScenarioOutput(
    "createdLaunchTemplate",
    MESSAGES.createdLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    ),
  ),
  new ScenarioOutput(
    "creatingAutoScalingGroup",
    MESSAGES.creatingAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    ),
  ),
  new ScenarioAction("createAutoScalingGroup", async (state) => {
    const ec2Client = new EC2Client({});
    const { AvailabilityZones } = await ec2Client.send(
      new DescribeAvailabilityZonesCommand({}),
    );
    state.availabilityZoneNames = AvailabilityZones.map((az) => az.ZoneName);
    const autoScalingClient = new AutoScalingClient({});
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new CreateAutoScalingGroupCommand({
          AvailabilityZones: state.availabilityZoneNames,
          AutoScalingGroupName: NAMES.autoScalingGroupName,
          LaunchTemplate: {
            LaunchTemplateName: NAMES.launchTemplateName,
            Version: "$Default",
          },
          MinSize: 3,
          MaxSize: 3,
        }),
      ),
    );
  }),
  new ScenarioOutput(
    "createdAutoScalingGroup",
    /**
     * @param {{ availabilityZoneNames: string[] }} state
     */
    (state) =>
      MESSAGES.createdAutoScalingGroup
        .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName)
        .replace(
          "${AVAILABILITY_ZONE_NAMES}",
          state.availabilityZoneNames.join(", "),
        ),
  ),
  new ScenarioInput("confirmContinue", MESSAGES.confirmContinue, {
    type: "confirm",
  }),
  new ScenarioOutput("loadBalancer", MESSAGES.loadBalancer),
  new ScenarioOutput("gettingVpc", MESSAGES.gettingVpc),
  new ScenarioAction("getVpc", async (state) => {
    const client = new EC2Client({});
    const { Vpcs } = await client.send(
      new DescribeVpcsCommand({
        Filters: [{ Name: "is-default", Values: ["true"] }],
      }),
    );
    state.defaultVpc = Vpcs[0].VpcId;
  }),
  new ScenarioOutput("gotVpc", (state) =>
    MESSAGES.gotVpc.replace("${VPC_ID}", state.defaultVpc),
  ),
  new ScenarioOutput("gettingSubnets", MESSAGES.gettingSubnets),
  new ScenarioAction("getSubnets", async (state) => {
    const client = new EC2Client({});
    const { Subnets } = await client.send(
      new DescribeSubnetsCommand({
        Filters: [
          { Name: "vpc-id", Values: [state.defaultVpc] },
          { Name: "availability-zone", Values: state.availabilityZoneNames },
          { Name: "default-for-az", Values: ["true"] },
        ],
      }),
    );
    state.subnets = Subnets.map((subnet) => subnet.SubnetId);
  }),
  new ScenarioOutput(
    "gotSubnets",
    /**
     * @param {{ subnets: string[] }} state
     */
    (state) =>
      MESSAGES.gotSubnets.replace("${SUBNETS}", state.subnets.join(", ")),
  ),
  new ScenarioOutput(
    "creatingLoadBalancerTargetGroup",
    MESSAGES.creatingLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioAction("createLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { TargetGroups } = await client.send(
      new CreateTargetGroupCommand({
        Name: NAMES.loadBalancerTargetGroupName,
        Protocol: "HTTP",
        Port: 80,
        HealthCheckPath: "/healthcheck",
        HealthCheckIntervalSeconds: 10,
        HealthCheckTimeoutSeconds: 5,
        HealthyThresholdCount: 2,
        UnhealthyThresholdCount: 2,
        VpcId: state.defaultVpc,
      }),
    );
    const targetGroup = TargetGroups[0];
    state.targetGroupArn = targetGroup.TargetGroupArn;
    state.targetGroupProtocol = targetGroup.Protocol;
    state.targetGroupPort = targetGroup.Port;
  }),
  new ScenarioOutput(
    "createdLoadBalancerTargetGroup",
    MESSAGES.createdLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioOutput(
    "creatingLoadBalancer",
    MESSAGES.creatingLoadBalancer.replace("${LB_NAME}", NAMES.loadBalancerName),
  ),
  new ScenarioAction("createLoadBalancer", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { LoadBalancers } = await client.send(
      new CreateLoadBalancerCommand({
        Name: NAMES.loadBalancerName,
        Subnets: state.subnets,
      }),
    );
    state.loadBalancerDns = LoadBalancers[0].DNSName;
    state.loadBalancerArn = LoadBalancers[0].LoadBalancerArn;
    await waitUntilLoadBalancerAvailable(
      { client },
      { Names: [NAMES.loadBalancerName] },
    );
  }),
  new ScenarioOutput("createdLoadBalancer", (state) =>
    MESSAGES.createdLoadBalancer
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioOutput(
    "creatingListener",
    MESSAGES.creatingLoadBalancerListener
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName),
  ),
  new ScenarioAction("createListener", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { Listeners } = await client.send(
      new CreateListenerCommand({
        LoadBalancerArn: state.loadBalancerArn,
        Protocol: state.targetGroupProtocol,
        Port: state.targetGroupPort,
        DefaultActions: [
          { Type: "forward", TargetGroupArn: state.targetGroupArn },
        ],
      }),
    );
    const listener = Listeners[0];
    state.loadBalancerListenerArn = listener.ListenerArn;
  }),
  new ScenarioOutput("createdListener", (state) =>
    MESSAGES.createdLoadBalancerListener.replace(
      "${LB_LISTENER_ARN}",
      state.loadBalancerListenerArn,
    ),
  ),
  new ScenarioOutput(
    "attachingLoadBalancerTargetGroup",
    MESSAGES.attachingLoadBalancerTargetGroup
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName)
      .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName),
  ),
  new ScenarioAction("attachLoadBalancerTargetGroup", async (state) => {
    const client = new AutoScalingClient({});
    await client.send(
      new AttachLoadBalancerTargetGroupsCommand({
        AutoScalingGroupName: NAMES.autoScalingGroupName,
        TargetGroupARNs: [state.targetGroupArn],
      }),
    );
  }),
  new ScenarioOutput(
    "attachedLoadBalancerTargetGroup",
    MESSAGES.attachedLoadBalancerTargetGroup,
  ),
  new ScenarioOutput("verifyingInboundPort", MESSAGES.verifyingInboundPort),
  new ScenarioAction(
    "verifyInboundPort",
    /**
     *
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup}} state
     */
    async (state) => {
      const client = new EC2Client({});
      const { SecurityGroups } = await client.send(
        new DescribeSecurityGroupsCommand({
          Filters: [{ Name: "group-name", Values: ["default"] }],
        }),
      );
      if (!SecurityGroups) {
        state.verifyInboundPortError = new Error(MESSAGES.noSecurityGroups);
      }
      state.defaultSecurityGroup = SecurityGroups[0];

      /**
       * @type {string}
       */
      const ipResponse = (await axios.get("http://checkip.amazonaws.com")).data;
      state.myIp = ipResponse.trim();
      const myIpRules = state.defaultSecurityGroup.IpPermissions.filter(
        ({ IpRanges }) =>
          IpRanges.some(
            ({ CidrIp }) =>
              CidrIp.startsWith(state.myIp) || CidrIp === "0.0.0.0/0",
          ),
      )
        .filter(({ IpProtocol }) => IpProtocol === "tcp")
        .filter(({ FromPort }) => FromPort === 80);

      state.myIpRules = myIpRules;
    },
  ),
  new ScenarioOutput(
    "verifiedInboundPort",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return MESSAGES.foundIpRules.replace(
          "${IP_RULES}",
          JSON.stringify(state.myIpRules, null, 2),
        );
      }
      return MESSAGES.noIpRules;
    },
  ),
  new ScenarioInput(
    "shouldAddInboundRule",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return false;
      }
      return MESSAGES.noIpRules;
    },
    { type: "confirm" },
  ),
  new ScenarioAction(
    "addInboundRule",
    /**
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup }} state
     */
    async (state) => {
      if (!state.shouldAddInboundRule) {
        return;
      }

      const client = new EC2Client({});
      await client.send(
        new AuthorizeSecurityGroupIngressCommand({
          GroupId: state.defaultSecurityGroup.GroupId,
          CidrIp: `${state.myIp}/32`,
          FromPort: 80,
          ToPort: 80,
          IpProtocol: "tcp",
        }),
      );
    },
  ),
  new ScenarioOutput("addedInboundRule", (state) => {
    if (state.shouldAddInboundRule) {
      return MESSAGES.addedInboundRule.replace("${IP_ADDRESS}", state.myIp);
    }
    return false;
  }),
  new ScenarioOutput("verifyingEndpoint", (state) =>
    MESSAGES.verifyingEndpoint.replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioAction("verifyEndpoint", async (state) => {
    try {
      const response = await retry({ intervalInMs: 2000, maxRetries: 30 }, () =>
        axios.get(`http://${state.loadBalancerDns}`),
      );
      state.endpointResponse = JSON.stringify(response.data, null, 2);
    } catch (e) {
      state.verifyEndpointError = e;
    }
  }),
  new ScenarioOutput("verifiedEndpoint", (state) => {
    if (state.verifyEndpointError) {
      console.error(state.verifyEndpointError);
    } else {
      return MESSAGES.verifiedEndpoint.replace(
        "${ENDPOINT_RESPONSE}",
        state.endpointResponse,
      );
    }
  }),
  saveState,
];
```
建立步驟以執行示範。  

```
import { readFileSync } from "node:fs";
import { join } from "node:path";

import axios from "axios";

import {
  DescribeTargetGroupsCommand,
  DescribeTargetHealthCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";
import {
  DescribeInstanceInformationCommand,
  PutParameterCommand,
  SSMClient,
  SendCommandCommand,
} from "@aws-sdk/client-ssm";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  AttachRolePolicyCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DescribeAutoScalingGroupsCommand,
  TerminateInstanceInAutoScalingGroupCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  DescribeIamInstanceProfileAssociationsCommand,
  EC2Client,
  RebootInstancesCommand,
  ReplaceIamInstanceProfileAssociationCommand,
} from "@aws-sdk/client-ec2";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

const getRecommendation = new ScenarioAction(
  "getRecommendation",
  async (state) => {
    const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
    if (loadBalancer) {
      state.loadBalancerDnsName = loadBalancer.DNSName;
      try {
        state.recommendation = (
          await axios.get(`http://${state.loadBalancerDnsName}`)
        ).data;
      } catch (e) {
        state.recommendation = e instanceof Error ? e.message : e;
      }
    } else {
      throw new Error(MESSAGES.demoFindLoadBalancerError);
    }
  },
);

const getRecommendationResult = new ScenarioOutput(
  "getRecommendationResult",
  (state) =>
    `Recommendation:\n${JSON.stringify(state.recommendation, null, 2)}`,
  { preformatted: true },
);

const getHealthCheck = new ScenarioAction("getHealthCheck", async (state) => {
  const client = new ElasticLoadBalancingV2Client({});
  const { TargetGroups } = await client.send(
    new DescribeTargetGroupsCommand({
      Names: [NAMES.loadBalancerTargetGroupName],
    }),
  );

  const { TargetHealthDescriptions } = await client.send(
    new DescribeTargetHealthCommand({
      TargetGroupArn: TargetGroups[0].TargetGroupArn,
    }),
  );
  state.targetHealthDescriptions = TargetHealthDescriptions;
});

const getHealthCheckResult = new ScenarioOutput(
  "getHealthCheckResult",
  /**
   * @param {{ targetHealthDescriptions: import('@aws-sdk/client-elastic-load-balancing-v2').TargetHealthDescription[]}} state
   */
  (state) => {
    const status = state.targetHealthDescriptions
      .map((th) => `${th.Target.Id}: ${th.TargetHealth.State}`)
      .join("\n");
    return `Health check:\n${status}`;
  },
  { preformatted: true },
);

const loadBalancerLoop = new ScenarioAction(
  "loadBalancerLoop",
  getRecommendation.action,
  {
    whileConfig: {
      whileFn: ({ loadBalancerCheck }) => loadBalancerCheck,
      input: new ScenarioInput(
        "loadBalancerCheck",
        MESSAGES.demoLoadBalancerCheck,
        {
          type: "confirm",
        },
      ),
      output: getRecommendationResult,
    },
  },
);

const healthCheckLoop = new ScenarioAction(
  "healthCheckLoop",
  getHealthCheck.action,
  {
    whileConfig: {
      whileFn: ({ healthCheck }) => healthCheck,
      input: new ScenarioInput("healthCheck", MESSAGES.demoHealthCheck, {
        type: "confirm",
      }),
      output: getHealthCheckResult,
    },
  },
);

const statusSteps = [
  getRecommendation,
  getRecommendationResult,
  getHealthCheck,
  getHealthCheckResult,
];

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const demoSteps = [
  new ScenarioOutput("header", MESSAGES.demoHeader, { header: true }),
  new ScenarioOutput("sanityCheck", MESSAGES.demoSanityCheck),
  ...statusSteps,
  new ScenarioInput(
    "brokenDependencyConfirmation",
    MESSAGES.demoBrokenDependencyConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("brokenDependency", async (state) => {
    if (!state.brokenDependencyConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      state.badTableName = `fake-table-${Date.now()}`;
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmTableNameKey,
          Value: state.badTableName,
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testBrokenDependency", (state) =>
    MESSAGES.demoTestBrokenDependency.replace(
      "${TABLE_NAME}",
      state.badTableName,
    ),
  ),
  ...statusSteps,
  new ScenarioInput(
    "staticResponseConfirmation",
    MESSAGES.demoStaticResponseConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("staticResponse", async (state) => {
    if (!state.staticResponseConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmFailureResponseKey,
          Value: "static",
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testStaticResponse", MESSAGES.demoTestStaticResponse),
  ...statusSteps,
  new ScenarioInput(
    "badCredentialsConfirmation",
    MESSAGES.demoBadCredentialsConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("badCredentialsExit", (state) => {
    if (!state.badCredentialsConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("fixDynamoDBName", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioAction(
    "badCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-auto-scaling').Instance }} state
     */
    async (state) => {
      await createSsmOnlyInstanceProfile();
      const autoScalingClient = new AutoScalingClient({});
      const { AutoScalingGroups } = await autoScalingClient.send(
        new DescribeAutoScalingGroupsCommand({
          AutoScalingGroupNames: [NAMES.autoScalingGroupName],
        }),
      );
      state.targetInstance = AutoScalingGroups[0].Instances[0];
      const ec2Client = new EC2Client({});
      const { IamInstanceProfileAssociations } = await ec2Client.send(
        new DescribeIamInstanceProfileAssociationsCommand({
          Filters: [
            { Name: "instance-id", Values: [state.targetInstance.InstanceId] },
          ],
        }),
      );
      state.instanceProfileAssociationId =
        IamInstanceProfileAssociations[0].AssociationId;
      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        ec2Client.send(
          new ReplaceIamInstanceProfileAssociationCommand({
            AssociationId: state.instanceProfileAssociationId,
            IamInstanceProfile: { Name: NAMES.ssmOnlyInstanceProfileName },
          }),
        ),
      );

      await ec2Client.send(
        new RebootInstancesCommand({
          InstanceIds: [state.targetInstance.InstanceId],
        }),
      );

      const ssmClient = new SSMClient({});
      await retry({ intervalInMs: 20000, maxRetries: 15 }, async () => {
        const { InstanceInformationList } = await ssmClient.send(
          new DescribeInstanceInformationCommand({}),
        );

        const instance = InstanceInformationList.find(
          (info) => info.InstanceId === state.targetInstance.InstanceId,
        );

        if (!instance) {
          throw new Error("Instance not found.");
        }
      });

      await ssmClient.send(
        new SendCommandCommand({
          InstanceIds: [state.targetInstance.InstanceId],
          DocumentName: "AWS-RunShellScript",
          Parameters: { commands: ["cd / && sudo python3 server.py 80"] },
        }),
      );
    },
  ),
  new ScenarioOutput(
    "testBadCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation}} state
     */
    (state) =>
      MESSAGES.demoTestBadCredentials.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
  ),
  loadBalancerLoop,
  new ScenarioInput(
    "deepHealthCheckConfirmation",
    MESSAGES.demoDeepHealthCheckConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("deepHealthCheckExit", (state) => {
    if (!state.deepHealthCheckConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("deepHealthCheck", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmHealthCheckKey,
        Value: "deep",
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testDeepHealthCheck", MESSAGES.demoTestDeepHealthCheck),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "killInstanceConfirmation",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    (state) =>
      MESSAGES.demoKillInstanceConfirmation.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
    { type: "confirm" },
  ),
  new ScenarioAction("killInstanceExit", (state) => {
    if (!state.killInstanceConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction(
    "killInstance",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    async (state) => {
      const client = new AutoScalingClient({});
      await client.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: state.targetInstance.InstanceId,
          ShouldDecrementDesiredCapacity: false,
        }),
      );
    },
  ),
  new ScenarioOutput("testKillInstance", MESSAGES.demoTestKillInstance),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput("failOpenConfirmation", MESSAGES.demoFailOpenConfirmation, {
    type: "confirm",
  }),
  new ScenarioAction("failOpenExit", (state) => {
    if (!state.failOpenConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("failOpen", () => {
    const client = new SSMClient({});
    return client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: `fake-table-${Date.now()}`,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testFailOpen", MESSAGES.demoFailOpenTest),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "resetTableConfirmation",
    MESSAGES.demoResetTableConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("resetTableExit", (state) => {
    if (!state.resetTableConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("resetTable", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testResetTable", MESSAGES.demoTestResetTable),
  healthCheckLoop,
  loadBalancerLoop,
];

async function createSsmOnlyInstanceProfile() {
  const iamClient = new IAMClient({});
  const { Policy } = await iamClient.send(
    new CreatePolicyCommand({
      PolicyName: NAMES.ssmOnlyPolicyName,
      PolicyDocument: readFileSync(
        join(RESOURCES_PATH, "ssm_only_policy.json"),
      ),
    }),
  );
  await iamClient.send(
    new CreateRoleCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      AssumeRolePolicyDocument: JSON.stringify({
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Principal: { Service: "ec2.amazonaws.com" },
            Action: "sts:AssumeRole",
          },
        ],
      }),
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: Policy.Arn,
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
    }),
  );
  const { InstanceProfile } = await iamClient.send(
    new CreateInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
    }),
  );
  await waitUntilInstanceProfileExists(
    { client: iamClient },
    { InstanceProfileName: NAMES.ssmOnlyInstanceProfileName },
  );
  await iamClient.send(
    new AddRoleToInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
      RoleName: NAMES.ssmOnlyRoleName,
    }),
  );

  return InstanceProfile;
}
```
建立步驟以銷毀所有資源。  

```
import { unlinkSync } from "node:fs";

import { DynamoDBClient, DeleteTableCommand } from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  DeleteKeyPairCommand,
  DeleteLaunchTemplateCommand,
  RevokeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  DeleteInstanceProfileCommand,
  RemoveRoleFromInstanceProfileCommand,
  DeletePolicyCommand,
  DeleteRoleCommand,
  DetachRolePolicyCommand,
  paginateListPolicies,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DeleteAutoScalingGroupCommand,
  TerminateInstanceInAutoScalingGroupCommand,
  UpdateAutoScalingGroupCommand,
  paginateDescribeAutoScalingGroups,
} from "@aws-sdk/client-auto-scaling";
import {
  DeleteLoadBalancerCommand,
  DeleteTargetGroupCommand,
  DescribeTargetGroupsCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { loadState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const destroySteps = [
  loadState,
  new ScenarioInput("destroy", MESSAGES.destroy, { type: "confirm" }),
  new ScenarioAction(
    "abort",
    (state) => state.destroy === false && process.exit(),
  ),
  new ScenarioAction("deleteTable", async (c) => {
    try {
      const client = new DynamoDBClient({});
      await client.send(new DeleteTableCommand({ TableName: NAMES.tableName }));
    } catch (e) {
      c.deleteTableError = e;
    }
  }),
  new ScenarioOutput("deleteTableResult", (state) => {
    if (state.deleteTableError) {
      console.error(state.deleteTableError);
      return MESSAGES.deleteTableError.replace(
        "${TABLE_NAME}",
        NAMES.tableName,
      );
    }
    return MESSAGES.deletedTable.replace("${TABLE_NAME}", NAMES.tableName);
  }),
  new ScenarioAction("deleteKeyPair", async (state) => {
    try {
      const client = new EC2Client({});
      await client.send(
        new DeleteKeyPairCommand({ KeyName: NAMES.keyPairName }),
      );
      unlinkSync(`${NAMES.keyPairName}.pem`);
    } catch (e) {
      state.deleteKeyPairError = e;
    }
  }),
  new ScenarioOutput("deleteKeyPairResult", (state) => {
    if (state.deleteKeyPairError) {
      console.error(state.deleteKeyPairError);
      return MESSAGES.deleteKeyPairError.replace(
        "${KEY_PAIR_NAME}",
        NAMES.keyPairName,
      );
    }
    return MESSAGES.deletedKeyPair.replace(
      "${KEY_PAIR_NAME}",
      NAMES.keyPairName,
    );
  }),
  new ScenarioAction("detachPolicyFromRole", async (state) => {
    try {
      const client = new IAMClient({});
      const policy = await findPolicy(NAMES.instancePolicyName);

      if (!policy) {
        state.detachPolicyFromRoleError = new Error(
          `Policy ${NAMES.instancePolicyName} not found.`,
        );
      } else {
        await client.send(
          new DetachRolePolicyCommand({
            RoleName: NAMES.instanceRoleName,
            PolicyArn: policy.Arn,
          }),
        );
      }
    } catch (e) {
      state.detachPolicyFromRoleError = e;
    }
  }),
  new ScenarioOutput("detachedPolicyFromRole", (state) => {
    if (state.detachPolicyFromRoleError) {
      console.error(state.detachPolicyFromRoleError);
      return MESSAGES.detachPolicyFromRoleError
        .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.detachedPolicyFromRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const policy = await findPolicy(NAMES.instancePolicyName);

    if (!policy) {
      state.deletePolicyError = new Error(
        `Policy ${NAMES.instancePolicyName} not found.`,
      );
    } else {
      return client.send(
        new DeletePolicyCommand({
          PolicyArn: policy.Arn,
        }),
      );
    }
  }),
  new ScenarioOutput("deletePolicyResult", (state) => {
    if (state.deletePolicyError) {
      console.error(state.deletePolicyError);
      return MESSAGES.deletePolicyError.replace(
        "${INSTANCE_POLICY_NAME}",
        NAMES.instancePolicyName,
      );
    }
    return MESSAGES.deletedPolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    );
  }),
  new ScenarioAction("removeRoleFromInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          RoleName: NAMES.instanceRoleName,
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.removeRoleFromInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("removeRoleFromInstanceProfileResult", (state) => {
    if (state.removeRoleFromInstanceProfile) {
      console.error(state.removeRoleFromInstanceProfileError);
      return MESSAGES.removeRoleFromInstanceProfileError
        .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.removedRoleFromInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstanceRole", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteRoleCommand({
          RoleName: NAMES.instanceRoleName,
        }),
      );
    } catch (e) {
      state.deleteInstanceRoleError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceRoleResult", (state) => {
    if (state.deleteInstanceRoleError) {
      console.error(state.deleteInstanceRoleError);
      return MESSAGES.deleteInstanceRoleError.replace(
        "${INSTANCE_ROLE_NAME}",
        NAMES.instanceRoleName,
      );
    }
    return MESSAGES.deletedInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    );
  }),
  new ScenarioAction("deleteInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceProfileResult", (state) => {
    if (state.deleteInstanceProfileError) {
      console.error(state.deleteInstanceProfileError);
      return MESSAGES.deleteInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.instanceProfileName,
      );
    }
    return MESSAGES.deletedInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    );
  }),
  new ScenarioAction("deleteAutoScalingGroup", async (state) => {
    try {
      await terminateGroupInstances(NAMES.autoScalingGroupName);
      await retry({ intervalInMs: 60000, maxRetries: 60 }, async () => {
        await deleteAutoScalingGroup(NAMES.autoScalingGroupName);
      });
    } catch (e) {
      state.deleteAutoScalingGroupError = e;
    }
  }),
  new ScenarioOutput("deleteAutoScalingGroupResult", (state) => {
    if (state.deleteAutoScalingGroupError) {
      console.error(state.deleteAutoScalingGroupError);
      return MESSAGES.deleteAutoScalingGroupError.replace(
        "${AUTO_SCALING_GROUP_NAME}",
        NAMES.autoScalingGroupName,
      );
    }
    return MESSAGES.deletedAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    );
  }),
  new ScenarioAction("deleteLaunchTemplate", async (state) => {
    const client = new EC2Client({});
    try {
      await client.send(
        new DeleteLaunchTemplateCommand({
          LaunchTemplateName: NAMES.launchTemplateName,
        }),
      );
    } catch (e) {
      state.deleteLaunchTemplateError = e;
    }
  }),
  new ScenarioOutput("deleteLaunchTemplateResult", (state) => {
    if (state.deleteLaunchTemplateError) {
      console.error(state.deleteLaunchTemplateError);
      return MESSAGES.deleteLaunchTemplateError.replace(
        "${LAUNCH_TEMPLATE_NAME}",
        NAMES.launchTemplateName,
      );
    }
    return MESSAGES.deletedLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    );
  }),
  new ScenarioAction("deleteLoadBalancer", async (state) => {
    try {
      const client = new ElasticLoadBalancingV2Client({});
      const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
      await client.send(
        new DeleteLoadBalancerCommand({
          LoadBalancerArn: loadBalancer.LoadBalancerArn,
        }),
      );
      await retry({ intervalInMs: 1000, maxRetries: 60 }, async () => {
        const lb = await findLoadBalancer(NAMES.loadBalancerName);
        if (lb) {
          throw new Error("Load balancer still exists.");
        }
      });
    } catch (e) {
      state.deleteLoadBalancerError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerResult", (state) => {
    if (state.deleteLoadBalancerError) {
      console.error(state.deleteLoadBalancerError);
      return MESSAGES.deleteLoadBalancerError.replace(
        "${LB_NAME}",
        NAMES.loadBalancerName,
      );
    }
    return MESSAGES.deletedLoadBalancer.replace(
      "${LB_NAME}",
      NAMES.loadBalancerName,
    );
  }),
  new ScenarioAction("deleteLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    try {
      const { TargetGroups } = await client.send(
        new DescribeTargetGroupsCommand({
          Names: [NAMES.loadBalancerTargetGroupName],
        }),
      );

      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        client.send(
          new DeleteTargetGroupCommand({
            TargetGroupArn: TargetGroups[0].TargetGroupArn,
          }),
        ),
      );
    } catch (e) {
      state.deleteLoadBalancerTargetGroupError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerTargetGroupResult", (state) => {
    if (state.deleteLoadBalancerTargetGroupError) {
      console.error(state.deleteLoadBalancerTargetGroupError);
      return MESSAGES.deleteLoadBalancerTargetGroupError.replace(
        "${TARGET_GROUP_NAME}",
        NAMES.loadBalancerTargetGroupName,
      );
    }
    return MESSAGES.deletedLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    );
  }),
  new ScenarioAction("detachSsmOnlyRoleFromProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyRoleFromProfileError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyRoleFromProfileResult", (state) => {
    if (state.detachSsmOnlyRoleFromProfileError) {
      console.error(state.detachSsmOnlyRoleFromProfileError);
      return MESSAGES.detachSsmOnlyRoleFromProfileError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
    }
    return MESSAGES.detachedSsmOnlyRoleFromProfile
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
  }),
  new ScenarioAction("detachSsmOnlyCustomRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyCustomRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyCustomRolePolicyResult", (state) => {
    if (state.detachSsmOnlyCustomRolePolicyError) {
      console.error(state.detachSsmOnlyCustomRolePolicyError);
      return MESSAGES.detachSsmOnlyCustomRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
    }
    return MESSAGES.detachedSsmOnlyCustomRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
  }),
  new ScenarioAction("detachSsmOnlyAWSRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
        }),
      );
    } catch (e) {
      state.detachSsmOnlyAWSRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyAWSRolePolicyResult", (state) => {
    if (state.detachSsmOnlyAWSRolePolicyError) {
      console.error(state.detachSsmOnlyAWSRolePolicyError);
      return MESSAGES.detachSsmOnlyAWSRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
    }
    return MESSAGES.detachedSsmOnlyAWSRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
  }),
  new ScenarioAction("deleteSsmOnlyInstanceProfile", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyInstanceProfileResult", (state) => {
    if (state.deleteSsmOnlyInstanceProfileError) {
      console.error(state.deleteSsmOnlyInstanceProfileError);
      return MESSAGES.deleteSsmOnlyInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.ssmOnlyInstanceProfileName,
      );
    }
    return MESSAGES.deletedSsmOnlyInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.ssmOnlyInstanceProfileName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyPolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DeletePolicyCommand({
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyPolicyError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyPolicyResult", (state) => {
    if (state.deleteSsmOnlyPolicyError) {
      console.error(state.deleteSsmOnlyPolicyError);
      return MESSAGES.deleteSsmOnlyPolicyError.replace(
        "${POLICY_NAME}",
        NAMES.ssmOnlyPolicyName,
      );
    }
    return MESSAGES.deletedSsmOnlyPolicy.replace(
      "${POLICY_NAME}",
      NAMES.ssmOnlyPolicyName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyRole", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteRoleCommand({
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyRoleError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyRoleResult", (state) => {
    if (state.deleteSsmOnlyRoleError) {
      console.error(state.deleteSsmOnlyRoleError);
      return MESSAGES.deleteSsmOnlyRoleError.replace(
        "${ROLE_NAME}",
        NAMES.ssmOnlyRoleName,
      );
    }
    return MESSAGES.deletedSsmOnlyRole.replace(
      "${ROLE_NAME}",
      NAMES.ssmOnlyRoleName,
    );
  }),
  new ScenarioAction(
    "revokeSecurityGroupIngress",
    async (
      /** @type {{ myIp: string, defaultSecurityGroup: { GroupId: string } }} */ state,
    ) => {
      const ec2Client = new EC2Client({});

      try {
        await ec2Client.send(
          new RevokeSecurityGroupIngressCommand({
            GroupId: state.defaultSecurityGroup.GroupId,
            CidrIp: `${state.myIp}/32`,
            FromPort: 80,
            ToPort: 80,
            IpProtocol: "tcp",
          }),
        );
      } catch (e) {
        state.revokeSecurityGroupIngressError = e;
      }
    },
  ),
  new ScenarioOutput("revokeSecurityGroupIngressResult", (state) => {
    if (state.revokeSecurityGroupIngressError) {
      console.error(state.revokeSecurityGroupIngressError);
      return MESSAGES.revokeSecurityGroupIngressError.replace(
        "${IP}",
        state.myIp,
      );
    }
    return MESSAGES.revokedSecurityGroupIngress.replace("${IP}", state.myIp);
  }),
];

/**
 * @param {string} policyName
 */
async function findPolicy(policyName) {
  const client = new IAMClient({});
  const paginatedPolicies = paginateListPolicies({ client }, {});
  for await (const page of paginatedPolicies) {
    const policy = page.Policies.find((p) => p.PolicyName === policyName);
    if (policy) {
      return policy;
    }
  }
}

/**
 * @param {string} groupName
 */
async function deleteAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  try {
    await client.send(
      new DeleteAutoScalingGroupCommand({
        AutoScalingGroupName: groupName,
      }),
    );
  } catch (err) {
    if (!(err instanceof Error)) {
      throw err;
    }
    console.log(err.name);
    throw err;
  }
}

/**
 * @param {string} groupName
 */
async function terminateGroupInstances(groupName) {
  const autoScalingClient = new AutoScalingClient({});
  const group = await findAutoScalingGroup(groupName);
  await autoScalingClient.send(
    new UpdateAutoScalingGroupCommand({
      AutoScalingGroupName: group.AutoScalingGroupName,
      MinSize: 0,
    }),
  );
  for (const i of group.Instances) {
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: i.InstanceId,
          ShouldDecrementDesiredCapacity: true,
        }),
      ),
    );
  }
}

async function findAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  const paginatedGroups = paginateDescribeAutoScalingGroups({ client }, {});
  for await (const page of paginatedGroups) {
    const group = page.AutoScalingGroups.find(
      (g) => g.AutoScalingGroupName === groupName,
    );
    if (group) {
      return group;
    }
  }
  throw new Error(`Auto scaling group ${groupName} not found.`);
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AttachLoadBalancerTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/AttachLoadBalancerTargetGroupsCommand)
  + [CreateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/CreateAutoScalingGroupCommand)
  + [CreateInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateInstanceProfileCommand)
  + [CreateLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateLaunchTemplateCommand)
  + [CreateListener](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateListenerCommand)
  + [CreateLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateLoadBalancerCommand)
  + [CreateTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateTargetGroupCommand)
  + [DeleteAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DeleteAutoScalingGroupCommand)
  + [DeleteInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteInstanceProfileCommand)
  + [DeleteLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteLaunchTemplateCommand)
  + [DeleteLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteLoadBalancerCommand)
  + [DeleteTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteTargetGroupCommand)
  + [DescribeAutoScalingGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DescribeAutoScalingGroupsCommand)
  + [DescribeAvailabilityZones](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeAvailabilityZonesCommand)
  + [DescribeIamInstanceProfileAssociations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeIamInstanceProfileAssociationsCommand)
  + [DescribeInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstancesCommand)
  + [DescribeLoadBalancers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeLoadBalancersCommand)
  + [DescribeSubnets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSubnetsCommand)
  + [DescribeTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetGroupsCommand)
  + [DescribeTargetHealth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetHealthCommand)
  + [DescribeVpcs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeVpcsCommand)
  + [RebootInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RebootInstancesCommand)
  + [ReplaceIamInstanceProfileAssociation](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReplaceIamInstanceProfileAssociationCommand)
  + [TerminateInstanceInAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/TerminateInstanceInAutoScalingGroupCommand)
  + [UpdateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/UpdateAutoScalingGroupCommand)

# 使用適用於 JavaScript 的 SDK (v3) 的 Elastic Load Balancing - 版本 2 範例
<a name="javascript_3_elastic-load-balancing-v2_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Elastic Load Balancing - 第 2 版來執行動作並實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)
+ [案例](#scenarios)

## 開始使用
<a name="get_started"></a>

### Hello Elastic Load Balancing
<a name="elastic-load-balancing-v2_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Elastic Load Balancing。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/elastic-load-balancing-v2#code-examples)中設定和執行。

```
import {
  ElasticLoadBalancingV2Client,
  DescribeLoadBalancersCommand,
} from "@aws-sdk/client-elastic-load-balancing-v2";

export async function main() {
  const client = new ElasticLoadBalancingV2Client({});
  const { LoadBalancers } = await client.send(
    new DescribeLoadBalancersCommand({}),
  );
  const loadBalancersList = LoadBalancers.map(
    (lb) => `• ${lb.LoadBalancerName}: ${lb.DNSName}`,
  ).join("\n");
  console.log(
    "Hello, Elastic Load Balancing! Let's list some of your load balancers:\n",
    loadBalancersList,
  );
}

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [DescribeLoadBalancers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeLoadBalancersCommand)。

## 動作
<a name="actions"></a>

### `CreateListener`
<a name="elastic-load-balancing-v2_CreateListener_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateListener`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new ElasticLoadBalancingV2Client({});
    const { Listeners } = await client.send(
      new CreateListenerCommand({
        LoadBalancerArn: state.loadBalancerArn,
        Protocol: state.targetGroupProtocol,
        Port: state.targetGroupPort,
        DefaultActions: [
          { Type: "forward", TargetGroupArn: state.targetGroupArn },
        ],
      }),
    );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateListener](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateListenerCommand)。

### `CreateLoadBalancer`
<a name="elastic-load-balancing-v2_CreateLoadBalancer_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateLoadBalancer`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new ElasticLoadBalancingV2Client({});
    const { LoadBalancers } = await client.send(
      new CreateLoadBalancerCommand({
        Name: NAMES.loadBalancerName,
        Subnets: state.subnets,
      }),
    );
    state.loadBalancerDns = LoadBalancers[0].DNSName;
    state.loadBalancerArn = LoadBalancers[0].LoadBalancerArn;
    await waitUntilLoadBalancerAvailable(
      { client },
      { Names: [NAMES.loadBalancerName] },
    );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateLoadBalancerCommand)。

### `CreateTargetGroup`
<a name="elastic-load-balancing-v2_CreateTargetGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateTargetGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new ElasticLoadBalancingV2Client({});
    const { TargetGroups } = await client.send(
      new CreateTargetGroupCommand({
        Name: NAMES.loadBalancerTargetGroupName,
        Protocol: "HTTP",
        Port: 80,
        HealthCheckPath: "/healthcheck",
        HealthCheckIntervalSeconds: 10,
        HealthCheckTimeoutSeconds: 5,
        HealthyThresholdCount: 2,
        UnhealthyThresholdCount: 2,
        VpcId: state.defaultVpc,
      }),
    );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateTargetGroupCommand)。

### `DeleteLoadBalancer`
<a name="elastic-load-balancing-v2_DeleteLoadBalancer_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteLoadBalancer`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
      const client = new ElasticLoadBalancingV2Client({});
      const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
      await client.send(
        new DeleteLoadBalancerCommand({
          LoadBalancerArn: loadBalancer.LoadBalancerArn,
        }),
      );
      await retry({ intervalInMs: 1000, maxRetries: 60 }, async () => {
        const lb = await findLoadBalancer(NAMES.loadBalancerName);
        if (lb) {
          throw new Error("Load balancer still exists.");
        }
      });
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteLoadBalancerCommand)。

### `DeleteTargetGroup`
<a name="elastic-load-balancing-v2_DeleteTargetGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTargetGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
    const client = new ElasticLoadBalancingV2Client({});
    try {
      const { TargetGroups } = await client.send(
        new DescribeTargetGroupsCommand({
          Names: [NAMES.loadBalancerTargetGroupName],
        }),
      );

      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        client.send(
          new DeleteTargetGroupCommand({
            TargetGroupArn: TargetGroups[0].TargetGroupArn,
          }),
        ),
      );
    } catch (e) {
      state.deleteLoadBalancerTargetGroupError = e;
    }
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteTargetGroupCommand)。

### `DescribeLoadBalancers`
<a name="elastic-load-balancing-v2_DescribeLoadBalancers_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeLoadBalancers`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/elastic-load-balancing-v2#code-examples)中設定和執行。

```
import {
  ElasticLoadBalancingV2Client,
  DescribeLoadBalancersCommand,
} from "@aws-sdk/client-elastic-load-balancing-v2";

export async function main() {
  const client = new ElasticLoadBalancingV2Client({});
  const { LoadBalancers } = await client.send(
    new DescribeLoadBalancersCommand({}),
  );
  const loadBalancersList = LoadBalancers.map(
    (lb) => `• ${lb.LoadBalancerName}: ${lb.DNSName}`,
  ).join("\n");
  console.log(
    "Hello, Elastic Load Balancing! Let's list some of your load balancers:\n",
    loadBalancersList,
  );
}

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK  API 參考》**中的 [DescribeLoadBalancers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeLoadBalancersCommand)。

### `DescribeTargetGroups`
<a name="elastic-load-balancing-v2_DescribeTargetGroups_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeTargetGroups`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/elastic-load-balancing-v2#code-examples)中設定和執行。

```
  const client = new ElasticLoadBalancingV2Client({});
  const { TargetGroups } = await client.send(
    new DescribeTargetGroupsCommand({
      Names: [NAMES.loadBalancerTargetGroupName],
    }),
  );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetGroupsCommand)。

### `DescribeTargetHealth`
<a name="elastic-load-balancing-v2_DescribeTargetHealth_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeTargetHealth`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
  const { TargetHealthDescriptions } = await client.send(
    new DescribeTargetHealthCommand({
      TargetGroupArn: TargetGroups[0].TargetGroupArn,
    }),
  );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeTargetHealth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetHealthCommand)。

## 案例
<a name="scenarios"></a>

### 建置及管理彈性服務
<a name="cross_ResilientService_javascript_3_topic"></a>

下列程式碼範例會示範如何建立負載平衡的 Web 服務，以傳回書籍、影片和歌曲建議。此範例顯示服務如何回應失故障，以及如何在發生故障時重組服務以提高復原能力。
+ 使用 Amazon EC2 Auto Scaling 群組根據啟動範本建立 Amazon Elastic Compute Cloud (Amazon EC2) 執行個體，並將執行個體數量保持在指定範圍內。
+ 使用 Elastic Load Balancing 處理和分發 HTTP 請求。
+ 監控 Auto Scaling 群組中執行個體的運作狀態，並且只將請求轉送給運作良好的執行個體。
+ 在每個 EC2 執行個體上執行一個 Python Web 伺服器來處理 HTTP 請求。Web 伺服器會回應建議和運作狀態檢查。
+ 使用 Amazon DynamoDB 資料表模擬建議服務。
+ 透過更新 AWS Systems Manager 參數來控制 Web 伺服器對請求和運作狀態檢查的回應。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。
在命令提示中執行互動式案例。  

```
#!/usr/bin/env node
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0

import {
  Scenario,
  parseScenarioArgs,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * The workflow steps are split into three stages:
 *   - deploy
 *   - demo
 *   - destroy
 *
 * Each of these stages has a corresponding file prefixed with steps-*.
 */
import { deploySteps } from "./steps-deploy.js";
import { demoSteps } from "./steps-demo.js";
import { destroySteps } from "./steps-destroy.js";

/**
 * The context is passed to every scenario. Scenario steps
 * will modify the context.
 */
const context = {};

/**
 * Three Scenarios are created for the workflow. A Scenario is an orchestration class
 * that simplifies running a series of steps.
 */
export const scenarios = {
  // Deploys all resources necessary for the workflow.
  deploy: new Scenario("Resilient Workflow - Deploy", deploySteps, context),
  // Demonstrates how a fragile web service can be made more resilient.
  demo: new Scenario("Resilient Workflow - Demo", demoSteps, context),
  // Destroys the resources created for the workflow.
  destroy: new Scenario("Resilient Workflow - Destroy", destroySteps, context),
};

// Call function if run directly
import { fileURLToPath } from "node:url";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Resilient Workflow",
    synopsis:
      "node index.js --scenario <deploy | demo | destroy> [-h|--help] [-y|--yes] [-v|--verbose]",
    description: "Deploy and interact with scalable EC2 instances.",
  });
}
```
建立步驟以部署所有資源。  

```
import { join } from "node:path";
import { readFileSync, writeFileSync } from "node:fs";
import axios from "axios";

import {
  BatchWriteItemCommand,
  CreateTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  CreateKeyPairCommand,
  CreateLaunchTemplateCommand,
  DescribeAvailabilityZonesCommand,
  DescribeVpcsCommand,
  DescribeSubnetsCommand,
  DescribeSecurityGroupsCommand,
  AuthorizeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  AttachRolePolicyCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import { SSMClient, GetParameterCommand } from "@aws-sdk/client-ssm";
import {
  CreateAutoScalingGroupCommand,
  AutoScalingClient,
  AttachLoadBalancerTargetGroupsCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  CreateListenerCommand,
  CreateLoadBalancerCommand,
  CreateTargetGroupCommand,
  ElasticLoadBalancingV2Client,
  waitUntilLoadBalancerAvailable,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { saveState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH, ROOT } from "./constants.js";
import { initParamsSteps } from "./steps-reset-params.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const deploySteps = [
  new ScenarioOutput("introduction", MESSAGES.introduction, { header: true }),
  new ScenarioInput("confirmDeployment", MESSAGES.confirmDeployment, {
    type: "confirm",
  }),
  new ScenarioAction(
    "handleConfirmDeployment",
    (c) => c.confirmDeployment === false && process.exit(),
  ),
  new ScenarioOutput(
    "creatingTable",
    MESSAGES.creatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("createTable", async () => {
    const client = new DynamoDBClient({});
    await client.send(
      new CreateTableCommand({
        TableName: NAMES.tableName,
        ProvisionedThroughput: {
          ReadCapacityUnits: 5,
          WriteCapacityUnits: 5,
        },
        AttributeDefinitions: [
          {
            AttributeName: "MediaType",
            AttributeType: "S",
          },
          {
            AttributeName: "ItemId",
            AttributeType: "N",
          },
        ],
        KeySchema: [
          {
            AttributeName: "MediaType",
            KeyType: "HASH",
          },
          {
            AttributeName: "ItemId",
            KeyType: "RANGE",
          },
        ],
      }),
    );
    await waitUntilTableExists({ client }, { TableName: NAMES.tableName });
  }),
  new ScenarioOutput(
    "createdTable",
    MESSAGES.createdTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "populatingTable",
    MESSAGES.populatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("populateTable", () => {
    const client = new DynamoDBClient({});
    /**
     * @type {{ default: import("@aws-sdk/client-dynamodb").PutRequest['Item'][] }}
     */
    const recommendations = JSON.parse(
      readFileSync(join(RESOURCES_PATH, "recommendations.json")),
    );

    return client.send(
      new BatchWriteItemCommand({
        RequestItems: {
          [NAMES.tableName]: recommendations.map((item) => ({
            PutRequest: { Item: item },
          })),
        },
      }),
    );
  }),
  new ScenarioOutput(
    "populatedTable",
    MESSAGES.populatedTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "creatingKeyPair",
    MESSAGES.creatingKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioAction("createKeyPair", async () => {
    const client = new EC2Client({});
    const { KeyMaterial } = await client.send(
      new CreateKeyPairCommand({
        KeyName: NAMES.keyPairName,
      }),
    );

    writeFileSync(`${NAMES.keyPairName}.pem`, KeyMaterial, { mode: 0o600 });
  }),
  new ScenarioOutput(
    "createdKeyPair",
    MESSAGES.createdKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioOutput(
    "creatingInstancePolicy",
    MESSAGES.creatingInstancePolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    ),
  ),
  new ScenarioAction("createInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const {
      Policy: { Arn },
    } = await client.send(
      new CreatePolicyCommand({
        PolicyName: NAMES.instancePolicyName,
        PolicyDocument: readFileSync(
          join(RESOURCES_PATH, "instance_policy.json"),
        ),
      }),
    );
    state.instancePolicyArn = Arn;
  }),
  new ScenarioOutput("createdInstancePolicy", (state) =>
    MESSAGES.createdInstancePolicy
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_POLICY_ARN}", state.instancePolicyArn),
  ),
  new ScenarioOutput(
    "creatingInstanceRole",
    MESSAGES.creatingInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioAction("createInstanceRole", () => {
    const client = new IAMClient({});
    return client.send(
      new CreateRoleCommand({
        RoleName: NAMES.instanceRoleName,
        AssumeRolePolicyDocument: readFileSync(
          join(ROOT, "assume-role-policy.json"),
        ),
      }),
    );
  }),
  new ScenarioOutput(
    "createdInstanceRole",
    MESSAGES.createdInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioOutput(
    "attachingPolicyToRole",
    MESSAGES.attachingPolicyToRole
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName)
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName),
  ),
  new ScenarioAction("attachPolicyToRole", async (state) => {
    const client = new IAMClient({});
    await client.send(
      new AttachRolePolicyCommand({
        RoleName: NAMES.instanceRoleName,
        PolicyArn: state.instancePolicyArn,
      }),
    );
  }),
  new ScenarioOutput(
    "attachedPolicyToRole",
    MESSAGES.attachedPolicyToRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioOutput(
    "creatingInstanceProfile",
    MESSAGES.creatingInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    ),
  ),
  new ScenarioAction("createInstanceProfile", async (state) => {
    const client = new IAMClient({});
    const {
      InstanceProfile: { Arn },
    } = await client.send(
      new CreateInstanceProfileCommand({
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
    state.instanceProfileArn = Arn;

    await waitUntilInstanceProfileExists(
      { client },
      { InstanceProfileName: NAMES.instanceProfileName },
    );
  }),
  new ScenarioOutput("createdInstanceProfile", (state) =>
    MESSAGES.createdInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_PROFILE_ARN}", state.instanceProfileArn),
  ),
  new ScenarioOutput(
    "addingRoleToInstanceProfile",
    MESSAGES.addingRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioAction("addRoleToInstanceProfile", () => {
    const client = new IAMClient({});
    return client.send(
      new AddRoleToInstanceProfileCommand({
        RoleName: NAMES.instanceRoleName,
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
  }),
  new ScenarioOutput(
    "addedRoleToInstanceProfile",
    MESSAGES.addedRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  ...initParamsSteps,
  new ScenarioOutput("creatingLaunchTemplate", MESSAGES.creatingLaunchTemplate),
  new ScenarioAction("createLaunchTemplate", async () => {
    const ssmClient = new SSMClient({});
    const { Parameter } = await ssmClient.send(
      new GetParameterCommand({
        Name: "/aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2",
      }),
    );
    const ec2Client = new EC2Client({});
    await ec2Client.send(
      new CreateLaunchTemplateCommand({
        LaunchTemplateName: NAMES.launchTemplateName,
        LaunchTemplateData: {
          InstanceType: "t3.micro",
          ImageId: Parameter.Value,
          IamInstanceProfile: { Name: NAMES.instanceProfileName },
          UserData: readFileSync(
            join(RESOURCES_PATH, "server_startup_script.sh"),
          ).toString("base64"),
          KeyName: NAMES.keyPairName,
        },
      }),
    );
  }),
  new ScenarioOutput(
    "createdLaunchTemplate",
    MESSAGES.createdLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    ),
  ),
  new ScenarioOutput(
    "creatingAutoScalingGroup",
    MESSAGES.creatingAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    ),
  ),
  new ScenarioAction("createAutoScalingGroup", async (state) => {
    const ec2Client = new EC2Client({});
    const { AvailabilityZones } = await ec2Client.send(
      new DescribeAvailabilityZonesCommand({}),
    );
    state.availabilityZoneNames = AvailabilityZones.map((az) => az.ZoneName);
    const autoScalingClient = new AutoScalingClient({});
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new CreateAutoScalingGroupCommand({
          AvailabilityZones: state.availabilityZoneNames,
          AutoScalingGroupName: NAMES.autoScalingGroupName,
          LaunchTemplate: {
            LaunchTemplateName: NAMES.launchTemplateName,
            Version: "$Default",
          },
          MinSize: 3,
          MaxSize: 3,
        }),
      ),
    );
  }),
  new ScenarioOutput(
    "createdAutoScalingGroup",
    /**
     * @param {{ availabilityZoneNames: string[] }} state
     */
    (state) =>
      MESSAGES.createdAutoScalingGroup
        .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName)
        .replace(
          "${AVAILABILITY_ZONE_NAMES}",
          state.availabilityZoneNames.join(", "),
        ),
  ),
  new ScenarioInput("confirmContinue", MESSAGES.confirmContinue, {
    type: "confirm",
  }),
  new ScenarioOutput("loadBalancer", MESSAGES.loadBalancer),
  new ScenarioOutput("gettingVpc", MESSAGES.gettingVpc),
  new ScenarioAction("getVpc", async (state) => {
    const client = new EC2Client({});
    const { Vpcs } = await client.send(
      new DescribeVpcsCommand({
        Filters: [{ Name: "is-default", Values: ["true"] }],
      }),
    );
    state.defaultVpc = Vpcs[0].VpcId;
  }),
  new ScenarioOutput("gotVpc", (state) =>
    MESSAGES.gotVpc.replace("${VPC_ID}", state.defaultVpc),
  ),
  new ScenarioOutput("gettingSubnets", MESSAGES.gettingSubnets),
  new ScenarioAction("getSubnets", async (state) => {
    const client = new EC2Client({});
    const { Subnets } = await client.send(
      new DescribeSubnetsCommand({
        Filters: [
          { Name: "vpc-id", Values: [state.defaultVpc] },
          { Name: "availability-zone", Values: state.availabilityZoneNames },
          { Name: "default-for-az", Values: ["true"] },
        ],
      }),
    );
    state.subnets = Subnets.map((subnet) => subnet.SubnetId);
  }),
  new ScenarioOutput(
    "gotSubnets",
    /**
     * @param {{ subnets: string[] }} state
     */
    (state) =>
      MESSAGES.gotSubnets.replace("${SUBNETS}", state.subnets.join(", ")),
  ),
  new ScenarioOutput(
    "creatingLoadBalancerTargetGroup",
    MESSAGES.creatingLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioAction("createLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { TargetGroups } = await client.send(
      new CreateTargetGroupCommand({
        Name: NAMES.loadBalancerTargetGroupName,
        Protocol: "HTTP",
        Port: 80,
        HealthCheckPath: "/healthcheck",
        HealthCheckIntervalSeconds: 10,
        HealthCheckTimeoutSeconds: 5,
        HealthyThresholdCount: 2,
        UnhealthyThresholdCount: 2,
        VpcId: state.defaultVpc,
      }),
    );
    const targetGroup = TargetGroups[0];
    state.targetGroupArn = targetGroup.TargetGroupArn;
    state.targetGroupProtocol = targetGroup.Protocol;
    state.targetGroupPort = targetGroup.Port;
  }),
  new ScenarioOutput(
    "createdLoadBalancerTargetGroup",
    MESSAGES.createdLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioOutput(
    "creatingLoadBalancer",
    MESSAGES.creatingLoadBalancer.replace("${LB_NAME}", NAMES.loadBalancerName),
  ),
  new ScenarioAction("createLoadBalancer", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { LoadBalancers } = await client.send(
      new CreateLoadBalancerCommand({
        Name: NAMES.loadBalancerName,
        Subnets: state.subnets,
      }),
    );
    state.loadBalancerDns = LoadBalancers[0].DNSName;
    state.loadBalancerArn = LoadBalancers[0].LoadBalancerArn;
    await waitUntilLoadBalancerAvailable(
      { client },
      { Names: [NAMES.loadBalancerName] },
    );
  }),
  new ScenarioOutput("createdLoadBalancer", (state) =>
    MESSAGES.createdLoadBalancer
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioOutput(
    "creatingListener",
    MESSAGES.creatingLoadBalancerListener
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName),
  ),
  new ScenarioAction("createListener", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { Listeners } = await client.send(
      new CreateListenerCommand({
        LoadBalancerArn: state.loadBalancerArn,
        Protocol: state.targetGroupProtocol,
        Port: state.targetGroupPort,
        DefaultActions: [
          { Type: "forward", TargetGroupArn: state.targetGroupArn },
        ],
      }),
    );
    const listener = Listeners[0];
    state.loadBalancerListenerArn = listener.ListenerArn;
  }),
  new ScenarioOutput("createdListener", (state) =>
    MESSAGES.createdLoadBalancerListener.replace(
      "${LB_LISTENER_ARN}",
      state.loadBalancerListenerArn,
    ),
  ),
  new ScenarioOutput(
    "attachingLoadBalancerTargetGroup",
    MESSAGES.attachingLoadBalancerTargetGroup
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName)
      .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName),
  ),
  new ScenarioAction("attachLoadBalancerTargetGroup", async (state) => {
    const client = new AutoScalingClient({});
    await client.send(
      new AttachLoadBalancerTargetGroupsCommand({
        AutoScalingGroupName: NAMES.autoScalingGroupName,
        TargetGroupARNs: [state.targetGroupArn],
      }),
    );
  }),
  new ScenarioOutput(
    "attachedLoadBalancerTargetGroup",
    MESSAGES.attachedLoadBalancerTargetGroup,
  ),
  new ScenarioOutput("verifyingInboundPort", MESSAGES.verifyingInboundPort),
  new ScenarioAction(
    "verifyInboundPort",
    /**
     *
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup}} state
     */
    async (state) => {
      const client = new EC2Client({});
      const { SecurityGroups } = await client.send(
        new DescribeSecurityGroupsCommand({
          Filters: [{ Name: "group-name", Values: ["default"] }],
        }),
      );
      if (!SecurityGroups) {
        state.verifyInboundPortError = new Error(MESSAGES.noSecurityGroups);
      }
      state.defaultSecurityGroup = SecurityGroups[0];

      /**
       * @type {string}
       */
      const ipResponse = (await axios.get("http://checkip.amazonaws.com")).data;
      state.myIp = ipResponse.trim();
      const myIpRules = state.defaultSecurityGroup.IpPermissions.filter(
        ({ IpRanges }) =>
          IpRanges.some(
            ({ CidrIp }) =>
              CidrIp.startsWith(state.myIp) || CidrIp === "0.0.0.0/0",
          ),
      )
        .filter(({ IpProtocol }) => IpProtocol === "tcp")
        .filter(({ FromPort }) => FromPort === 80);

      state.myIpRules = myIpRules;
    },
  ),
  new ScenarioOutput(
    "verifiedInboundPort",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return MESSAGES.foundIpRules.replace(
          "${IP_RULES}",
          JSON.stringify(state.myIpRules, null, 2),
        );
      }
      return MESSAGES.noIpRules;
    },
  ),
  new ScenarioInput(
    "shouldAddInboundRule",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return false;
      }
      return MESSAGES.noIpRules;
    },
    { type: "confirm" },
  ),
  new ScenarioAction(
    "addInboundRule",
    /**
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup }} state
     */
    async (state) => {
      if (!state.shouldAddInboundRule) {
        return;
      }

      const client = new EC2Client({});
      await client.send(
        new AuthorizeSecurityGroupIngressCommand({
          GroupId: state.defaultSecurityGroup.GroupId,
          CidrIp: `${state.myIp}/32`,
          FromPort: 80,
          ToPort: 80,
          IpProtocol: "tcp",
        }),
      );
    },
  ),
  new ScenarioOutput("addedInboundRule", (state) => {
    if (state.shouldAddInboundRule) {
      return MESSAGES.addedInboundRule.replace("${IP_ADDRESS}", state.myIp);
    }
    return false;
  }),
  new ScenarioOutput("verifyingEndpoint", (state) =>
    MESSAGES.verifyingEndpoint.replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioAction("verifyEndpoint", async (state) => {
    try {
      const response = await retry({ intervalInMs: 2000, maxRetries: 30 }, () =>
        axios.get(`http://${state.loadBalancerDns}`),
      );
      state.endpointResponse = JSON.stringify(response.data, null, 2);
    } catch (e) {
      state.verifyEndpointError = e;
    }
  }),
  new ScenarioOutput("verifiedEndpoint", (state) => {
    if (state.verifyEndpointError) {
      console.error(state.verifyEndpointError);
    } else {
      return MESSAGES.verifiedEndpoint.replace(
        "${ENDPOINT_RESPONSE}",
        state.endpointResponse,
      );
    }
  }),
  saveState,
];
```
建立步驟以執行示範。  

```
import { readFileSync } from "node:fs";
import { join } from "node:path";

import axios from "axios";

import {
  DescribeTargetGroupsCommand,
  DescribeTargetHealthCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";
import {
  DescribeInstanceInformationCommand,
  PutParameterCommand,
  SSMClient,
  SendCommandCommand,
} from "@aws-sdk/client-ssm";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  AttachRolePolicyCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DescribeAutoScalingGroupsCommand,
  TerminateInstanceInAutoScalingGroupCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  DescribeIamInstanceProfileAssociationsCommand,
  EC2Client,
  RebootInstancesCommand,
  ReplaceIamInstanceProfileAssociationCommand,
} from "@aws-sdk/client-ec2";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

const getRecommendation = new ScenarioAction(
  "getRecommendation",
  async (state) => {
    const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
    if (loadBalancer) {
      state.loadBalancerDnsName = loadBalancer.DNSName;
      try {
        state.recommendation = (
          await axios.get(`http://${state.loadBalancerDnsName}`)
        ).data;
      } catch (e) {
        state.recommendation = e instanceof Error ? e.message : e;
      }
    } else {
      throw new Error(MESSAGES.demoFindLoadBalancerError);
    }
  },
);

const getRecommendationResult = new ScenarioOutput(
  "getRecommendationResult",
  (state) =>
    `Recommendation:\n${JSON.stringify(state.recommendation, null, 2)}`,
  { preformatted: true },
);

const getHealthCheck = new ScenarioAction("getHealthCheck", async (state) => {
  const client = new ElasticLoadBalancingV2Client({});
  const { TargetGroups } = await client.send(
    new DescribeTargetGroupsCommand({
      Names: [NAMES.loadBalancerTargetGroupName],
    }),
  );

  const { TargetHealthDescriptions } = await client.send(
    new DescribeTargetHealthCommand({
      TargetGroupArn: TargetGroups[0].TargetGroupArn,
    }),
  );
  state.targetHealthDescriptions = TargetHealthDescriptions;
});

const getHealthCheckResult = new ScenarioOutput(
  "getHealthCheckResult",
  /**
   * @param {{ targetHealthDescriptions: import('@aws-sdk/client-elastic-load-balancing-v2').TargetHealthDescription[]}} state
   */
  (state) => {
    const status = state.targetHealthDescriptions
      .map((th) => `${th.Target.Id}: ${th.TargetHealth.State}`)
      .join("\n");
    return `Health check:\n${status}`;
  },
  { preformatted: true },
);

const loadBalancerLoop = new ScenarioAction(
  "loadBalancerLoop",
  getRecommendation.action,
  {
    whileConfig: {
      whileFn: ({ loadBalancerCheck }) => loadBalancerCheck,
      input: new ScenarioInput(
        "loadBalancerCheck",
        MESSAGES.demoLoadBalancerCheck,
        {
          type: "confirm",
        },
      ),
      output: getRecommendationResult,
    },
  },
);

const healthCheckLoop = new ScenarioAction(
  "healthCheckLoop",
  getHealthCheck.action,
  {
    whileConfig: {
      whileFn: ({ healthCheck }) => healthCheck,
      input: new ScenarioInput("healthCheck", MESSAGES.demoHealthCheck, {
        type: "confirm",
      }),
      output: getHealthCheckResult,
    },
  },
);

const statusSteps = [
  getRecommendation,
  getRecommendationResult,
  getHealthCheck,
  getHealthCheckResult,
];

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const demoSteps = [
  new ScenarioOutput("header", MESSAGES.demoHeader, { header: true }),
  new ScenarioOutput("sanityCheck", MESSAGES.demoSanityCheck),
  ...statusSteps,
  new ScenarioInput(
    "brokenDependencyConfirmation",
    MESSAGES.demoBrokenDependencyConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("brokenDependency", async (state) => {
    if (!state.brokenDependencyConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      state.badTableName = `fake-table-${Date.now()}`;
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmTableNameKey,
          Value: state.badTableName,
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testBrokenDependency", (state) =>
    MESSAGES.demoTestBrokenDependency.replace(
      "${TABLE_NAME}",
      state.badTableName,
    ),
  ),
  ...statusSteps,
  new ScenarioInput(
    "staticResponseConfirmation",
    MESSAGES.demoStaticResponseConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("staticResponse", async (state) => {
    if (!state.staticResponseConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmFailureResponseKey,
          Value: "static",
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testStaticResponse", MESSAGES.demoTestStaticResponse),
  ...statusSteps,
  new ScenarioInput(
    "badCredentialsConfirmation",
    MESSAGES.demoBadCredentialsConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("badCredentialsExit", (state) => {
    if (!state.badCredentialsConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("fixDynamoDBName", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioAction(
    "badCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-auto-scaling').Instance }} state
     */
    async (state) => {
      await createSsmOnlyInstanceProfile();
      const autoScalingClient = new AutoScalingClient({});
      const { AutoScalingGroups } = await autoScalingClient.send(
        new DescribeAutoScalingGroupsCommand({
          AutoScalingGroupNames: [NAMES.autoScalingGroupName],
        }),
      );
      state.targetInstance = AutoScalingGroups[0].Instances[0];
      const ec2Client = new EC2Client({});
      const { IamInstanceProfileAssociations } = await ec2Client.send(
        new DescribeIamInstanceProfileAssociationsCommand({
          Filters: [
            { Name: "instance-id", Values: [state.targetInstance.InstanceId] },
          ],
        }),
      );
      state.instanceProfileAssociationId =
        IamInstanceProfileAssociations[0].AssociationId;
      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        ec2Client.send(
          new ReplaceIamInstanceProfileAssociationCommand({
            AssociationId: state.instanceProfileAssociationId,
            IamInstanceProfile: { Name: NAMES.ssmOnlyInstanceProfileName },
          }),
        ),
      );

      await ec2Client.send(
        new RebootInstancesCommand({
          InstanceIds: [state.targetInstance.InstanceId],
        }),
      );

      const ssmClient = new SSMClient({});
      await retry({ intervalInMs: 20000, maxRetries: 15 }, async () => {
        const { InstanceInformationList } = await ssmClient.send(
          new DescribeInstanceInformationCommand({}),
        );

        const instance = InstanceInformationList.find(
          (info) => info.InstanceId === state.targetInstance.InstanceId,
        );

        if (!instance) {
          throw new Error("Instance not found.");
        }
      });

      await ssmClient.send(
        new SendCommandCommand({
          InstanceIds: [state.targetInstance.InstanceId],
          DocumentName: "AWS-RunShellScript",
          Parameters: { commands: ["cd / && sudo python3 server.py 80"] },
        }),
      );
    },
  ),
  new ScenarioOutput(
    "testBadCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation}} state
     */
    (state) =>
      MESSAGES.demoTestBadCredentials.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
  ),
  loadBalancerLoop,
  new ScenarioInput(
    "deepHealthCheckConfirmation",
    MESSAGES.demoDeepHealthCheckConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("deepHealthCheckExit", (state) => {
    if (!state.deepHealthCheckConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("deepHealthCheck", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmHealthCheckKey,
        Value: "deep",
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testDeepHealthCheck", MESSAGES.demoTestDeepHealthCheck),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "killInstanceConfirmation",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    (state) =>
      MESSAGES.demoKillInstanceConfirmation.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
    { type: "confirm" },
  ),
  new ScenarioAction("killInstanceExit", (state) => {
    if (!state.killInstanceConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction(
    "killInstance",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    async (state) => {
      const client = new AutoScalingClient({});
      await client.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: state.targetInstance.InstanceId,
          ShouldDecrementDesiredCapacity: false,
        }),
      );
    },
  ),
  new ScenarioOutput("testKillInstance", MESSAGES.demoTestKillInstance),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput("failOpenConfirmation", MESSAGES.demoFailOpenConfirmation, {
    type: "confirm",
  }),
  new ScenarioAction("failOpenExit", (state) => {
    if (!state.failOpenConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("failOpen", () => {
    const client = new SSMClient({});
    return client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: `fake-table-${Date.now()}`,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testFailOpen", MESSAGES.demoFailOpenTest),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "resetTableConfirmation",
    MESSAGES.demoResetTableConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("resetTableExit", (state) => {
    if (!state.resetTableConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("resetTable", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testResetTable", MESSAGES.demoTestResetTable),
  healthCheckLoop,
  loadBalancerLoop,
];

async function createSsmOnlyInstanceProfile() {
  const iamClient = new IAMClient({});
  const { Policy } = await iamClient.send(
    new CreatePolicyCommand({
      PolicyName: NAMES.ssmOnlyPolicyName,
      PolicyDocument: readFileSync(
        join(RESOURCES_PATH, "ssm_only_policy.json"),
      ),
    }),
  );
  await iamClient.send(
    new CreateRoleCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      AssumeRolePolicyDocument: JSON.stringify({
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Principal: { Service: "ec2.amazonaws.com" },
            Action: "sts:AssumeRole",
          },
        ],
      }),
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: Policy.Arn,
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
    }),
  );
  const { InstanceProfile } = await iamClient.send(
    new CreateInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
    }),
  );
  await waitUntilInstanceProfileExists(
    { client: iamClient },
    { InstanceProfileName: NAMES.ssmOnlyInstanceProfileName },
  );
  await iamClient.send(
    new AddRoleToInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
      RoleName: NAMES.ssmOnlyRoleName,
    }),
  );

  return InstanceProfile;
}
```
建立步驟以銷毀所有資源。  

```
import { unlinkSync } from "node:fs";

import { DynamoDBClient, DeleteTableCommand } from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  DeleteKeyPairCommand,
  DeleteLaunchTemplateCommand,
  RevokeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  DeleteInstanceProfileCommand,
  RemoveRoleFromInstanceProfileCommand,
  DeletePolicyCommand,
  DeleteRoleCommand,
  DetachRolePolicyCommand,
  paginateListPolicies,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DeleteAutoScalingGroupCommand,
  TerminateInstanceInAutoScalingGroupCommand,
  UpdateAutoScalingGroupCommand,
  paginateDescribeAutoScalingGroups,
} from "@aws-sdk/client-auto-scaling";
import {
  DeleteLoadBalancerCommand,
  DeleteTargetGroupCommand,
  DescribeTargetGroupsCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { loadState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const destroySteps = [
  loadState,
  new ScenarioInput("destroy", MESSAGES.destroy, { type: "confirm" }),
  new ScenarioAction(
    "abort",
    (state) => state.destroy === false && process.exit(),
  ),
  new ScenarioAction("deleteTable", async (c) => {
    try {
      const client = new DynamoDBClient({});
      await client.send(new DeleteTableCommand({ TableName: NAMES.tableName }));
    } catch (e) {
      c.deleteTableError = e;
    }
  }),
  new ScenarioOutput("deleteTableResult", (state) => {
    if (state.deleteTableError) {
      console.error(state.deleteTableError);
      return MESSAGES.deleteTableError.replace(
        "${TABLE_NAME}",
        NAMES.tableName,
      );
    }
    return MESSAGES.deletedTable.replace("${TABLE_NAME}", NAMES.tableName);
  }),
  new ScenarioAction("deleteKeyPair", async (state) => {
    try {
      const client = new EC2Client({});
      await client.send(
        new DeleteKeyPairCommand({ KeyName: NAMES.keyPairName }),
      );
      unlinkSync(`${NAMES.keyPairName}.pem`);
    } catch (e) {
      state.deleteKeyPairError = e;
    }
  }),
  new ScenarioOutput("deleteKeyPairResult", (state) => {
    if (state.deleteKeyPairError) {
      console.error(state.deleteKeyPairError);
      return MESSAGES.deleteKeyPairError.replace(
        "${KEY_PAIR_NAME}",
        NAMES.keyPairName,
      );
    }
    return MESSAGES.deletedKeyPair.replace(
      "${KEY_PAIR_NAME}",
      NAMES.keyPairName,
    );
  }),
  new ScenarioAction("detachPolicyFromRole", async (state) => {
    try {
      const client = new IAMClient({});
      const policy = await findPolicy(NAMES.instancePolicyName);

      if (!policy) {
        state.detachPolicyFromRoleError = new Error(
          `Policy ${NAMES.instancePolicyName} not found.`,
        );
      } else {
        await client.send(
          new DetachRolePolicyCommand({
            RoleName: NAMES.instanceRoleName,
            PolicyArn: policy.Arn,
          }),
        );
      }
    } catch (e) {
      state.detachPolicyFromRoleError = e;
    }
  }),
  new ScenarioOutput("detachedPolicyFromRole", (state) => {
    if (state.detachPolicyFromRoleError) {
      console.error(state.detachPolicyFromRoleError);
      return MESSAGES.detachPolicyFromRoleError
        .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.detachedPolicyFromRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const policy = await findPolicy(NAMES.instancePolicyName);

    if (!policy) {
      state.deletePolicyError = new Error(
        `Policy ${NAMES.instancePolicyName} not found.`,
      );
    } else {
      return client.send(
        new DeletePolicyCommand({
          PolicyArn: policy.Arn,
        }),
      );
    }
  }),
  new ScenarioOutput("deletePolicyResult", (state) => {
    if (state.deletePolicyError) {
      console.error(state.deletePolicyError);
      return MESSAGES.deletePolicyError.replace(
        "${INSTANCE_POLICY_NAME}",
        NAMES.instancePolicyName,
      );
    }
    return MESSAGES.deletedPolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    );
  }),
  new ScenarioAction("removeRoleFromInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          RoleName: NAMES.instanceRoleName,
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.removeRoleFromInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("removeRoleFromInstanceProfileResult", (state) => {
    if (state.removeRoleFromInstanceProfile) {
      console.error(state.removeRoleFromInstanceProfileError);
      return MESSAGES.removeRoleFromInstanceProfileError
        .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.removedRoleFromInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstanceRole", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteRoleCommand({
          RoleName: NAMES.instanceRoleName,
        }),
      );
    } catch (e) {
      state.deleteInstanceRoleError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceRoleResult", (state) => {
    if (state.deleteInstanceRoleError) {
      console.error(state.deleteInstanceRoleError);
      return MESSAGES.deleteInstanceRoleError.replace(
        "${INSTANCE_ROLE_NAME}",
        NAMES.instanceRoleName,
      );
    }
    return MESSAGES.deletedInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    );
  }),
  new ScenarioAction("deleteInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceProfileResult", (state) => {
    if (state.deleteInstanceProfileError) {
      console.error(state.deleteInstanceProfileError);
      return MESSAGES.deleteInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.instanceProfileName,
      );
    }
    return MESSAGES.deletedInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    );
  }),
  new ScenarioAction("deleteAutoScalingGroup", async (state) => {
    try {
      await terminateGroupInstances(NAMES.autoScalingGroupName);
      await retry({ intervalInMs: 60000, maxRetries: 60 }, async () => {
        await deleteAutoScalingGroup(NAMES.autoScalingGroupName);
      });
    } catch (e) {
      state.deleteAutoScalingGroupError = e;
    }
  }),
  new ScenarioOutput("deleteAutoScalingGroupResult", (state) => {
    if (state.deleteAutoScalingGroupError) {
      console.error(state.deleteAutoScalingGroupError);
      return MESSAGES.deleteAutoScalingGroupError.replace(
        "${AUTO_SCALING_GROUP_NAME}",
        NAMES.autoScalingGroupName,
      );
    }
    return MESSAGES.deletedAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    );
  }),
  new ScenarioAction("deleteLaunchTemplate", async (state) => {
    const client = new EC2Client({});
    try {
      await client.send(
        new DeleteLaunchTemplateCommand({
          LaunchTemplateName: NAMES.launchTemplateName,
        }),
      );
    } catch (e) {
      state.deleteLaunchTemplateError = e;
    }
  }),
  new ScenarioOutput("deleteLaunchTemplateResult", (state) => {
    if (state.deleteLaunchTemplateError) {
      console.error(state.deleteLaunchTemplateError);
      return MESSAGES.deleteLaunchTemplateError.replace(
        "${LAUNCH_TEMPLATE_NAME}",
        NAMES.launchTemplateName,
      );
    }
    return MESSAGES.deletedLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    );
  }),
  new ScenarioAction("deleteLoadBalancer", async (state) => {
    try {
      const client = new ElasticLoadBalancingV2Client({});
      const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
      await client.send(
        new DeleteLoadBalancerCommand({
          LoadBalancerArn: loadBalancer.LoadBalancerArn,
        }),
      );
      await retry({ intervalInMs: 1000, maxRetries: 60 }, async () => {
        const lb = await findLoadBalancer(NAMES.loadBalancerName);
        if (lb) {
          throw new Error("Load balancer still exists.");
        }
      });
    } catch (e) {
      state.deleteLoadBalancerError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerResult", (state) => {
    if (state.deleteLoadBalancerError) {
      console.error(state.deleteLoadBalancerError);
      return MESSAGES.deleteLoadBalancerError.replace(
        "${LB_NAME}",
        NAMES.loadBalancerName,
      );
    }
    return MESSAGES.deletedLoadBalancer.replace(
      "${LB_NAME}",
      NAMES.loadBalancerName,
    );
  }),
  new ScenarioAction("deleteLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    try {
      const { TargetGroups } = await client.send(
        new DescribeTargetGroupsCommand({
          Names: [NAMES.loadBalancerTargetGroupName],
        }),
      );

      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        client.send(
          new DeleteTargetGroupCommand({
            TargetGroupArn: TargetGroups[0].TargetGroupArn,
          }),
        ),
      );
    } catch (e) {
      state.deleteLoadBalancerTargetGroupError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerTargetGroupResult", (state) => {
    if (state.deleteLoadBalancerTargetGroupError) {
      console.error(state.deleteLoadBalancerTargetGroupError);
      return MESSAGES.deleteLoadBalancerTargetGroupError.replace(
        "${TARGET_GROUP_NAME}",
        NAMES.loadBalancerTargetGroupName,
      );
    }
    return MESSAGES.deletedLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    );
  }),
  new ScenarioAction("detachSsmOnlyRoleFromProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyRoleFromProfileError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyRoleFromProfileResult", (state) => {
    if (state.detachSsmOnlyRoleFromProfileError) {
      console.error(state.detachSsmOnlyRoleFromProfileError);
      return MESSAGES.detachSsmOnlyRoleFromProfileError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
    }
    return MESSAGES.detachedSsmOnlyRoleFromProfile
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
  }),
  new ScenarioAction("detachSsmOnlyCustomRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyCustomRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyCustomRolePolicyResult", (state) => {
    if (state.detachSsmOnlyCustomRolePolicyError) {
      console.error(state.detachSsmOnlyCustomRolePolicyError);
      return MESSAGES.detachSsmOnlyCustomRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
    }
    return MESSAGES.detachedSsmOnlyCustomRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
  }),
  new ScenarioAction("detachSsmOnlyAWSRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
        }),
      );
    } catch (e) {
      state.detachSsmOnlyAWSRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyAWSRolePolicyResult", (state) => {
    if (state.detachSsmOnlyAWSRolePolicyError) {
      console.error(state.detachSsmOnlyAWSRolePolicyError);
      return MESSAGES.detachSsmOnlyAWSRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
    }
    return MESSAGES.detachedSsmOnlyAWSRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
  }),
  new ScenarioAction("deleteSsmOnlyInstanceProfile", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyInstanceProfileResult", (state) => {
    if (state.deleteSsmOnlyInstanceProfileError) {
      console.error(state.deleteSsmOnlyInstanceProfileError);
      return MESSAGES.deleteSsmOnlyInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.ssmOnlyInstanceProfileName,
      );
    }
    return MESSAGES.deletedSsmOnlyInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.ssmOnlyInstanceProfileName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyPolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DeletePolicyCommand({
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyPolicyError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyPolicyResult", (state) => {
    if (state.deleteSsmOnlyPolicyError) {
      console.error(state.deleteSsmOnlyPolicyError);
      return MESSAGES.deleteSsmOnlyPolicyError.replace(
        "${POLICY_NAME}",
        NAMES.ssmOnlyPolicyName,
      );
    }
    return MESSAGES.deletedSsmOnlyPolicy.replace(
      "${POLICY_NAME}",
      NAMES.ssmOnlyPolicyName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyRole", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteRoleCommand({
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyRoleError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyRoleResult", (state) => {
    if (state.deleteSsmOnlyRoleError) {
      console.error(state.deleteSsmOnlyRoleError);
      return MESSAGES.deleteSsmOnlyRoleError.replace(
        "${ROLE_NAME}",
        NAMES.ssmOnlyRoleName,
      );
    }
    return MESSAGES.deletedSsmOnlyRole.replace(
      "${ROLE_NAME}",
      NAMES.ssmOnlyRoleName,
    );
  }),
  new ScenarioAction(
    "revokeSecurityGroupIngress",
    async (
      /** @type {{ myIp: string, defaultSecurityGroup: { GroupId: string } }} */ state,
    ) => {
      const ec2Client = new EC2Client({});

      try {
        await ec2Client.send(
          new RevokeSecurityGroupIngressCommand({
            GroupId: state.defaultSecurityGroup.GroupId,
            CidrIp: `${state.myIp}/32`,
            FromPort: 80,
            ToPort: 80,
            IpProtocol: "tcp",
          }),
        );
      } catch (e) {
        state.revokeSecurityGroupIngressError = e;
      }
    },
  ),
  new ScenarioOutput("revokeSecurityGroupIngressResult", (state) => {
    if (state.revokeSecurityGroupIngressError) {
      console.error(state.revokeSecurityGroupIngressError);
      return MESSAGES.revokeSecurityGroupIngressError.replace(
        "${IP}",
        state.myIp,
      );
    }
    return MESSAGES.revokedSecurityGroupIngress.replace("${IP}", state.myIp);
  }),
];

/**
 * @param {string} policyName
 */
async function findPolicy(policyName) {
  const client = new IAMClient({});
  const paginatedPolicies = paginateListPolicies({ client }, {});
  for await (const page of paginatedPolicies) {
    const policy = page.Policies.find((p) => p.PolicyName === policyName);
    if (policy) {
      return policy;
    }
  }
}

/**
 * @param {string} groupName
 */
async function deleteAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  try {
    await client.send(
      new DeleteAutoScalingGroupCommand({
        AutoScalingGroupName: groupName,
      }),
    );
  } catch (err) {
    if (!(err instanceof Error)) {
      throw err;
    }
    console.log(err.name);
    throw err;
  }
}

/**
 * @param {string} groupName
 */
async function terminateGroupInstances(groupName) {
  const autoScalingClient = new AutoScalingClient({});
  const group = await findAutoScalingGroup(groupName);
  await autoScalingClient.send(
    new UpdateAutoScalingGroupCommand({
      AutoScalingGroupName: group.AutoScalingGroupName,
      MinSize: 0,
    }),
  );
  for (const i of group.Instances) {
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: i.InstanceId,
          ShouldDecrementDesiredCapacity: true,
        }),
      ),
    );
  }
}

async function findAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  const paginatedGroups = paginateDescribeAutoScalingGroups({ client }, {});
  for await (const page of paginatedGroups) {
    const group = page.AutoScalingGroups.find(
      (g) => g.AutoScalingGroupName === groupName,
    );
    if (group) {
      return group;
    }
  }
  throw new Error(`Auto scaling group ${groupName} not found.`);
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AttachLoadBalancerTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/AttachLoadBalancerTargetGroupsCommand)
  + [CreateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/CreateAutoScalingGroupCommand)
  + [CreateInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateInstanceProfileCommand)
  + [CreateLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateLaunchTemplateCommand)
  + [CreateListener](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateListenerCommand)
  + [CreateLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateLoadBalancerCommand)
  + [CreateTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateTargetGroupCommand)
  + [DeleteAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DeleteAutoScalingGroupCommand)
  + [DeleteInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteInstanceProfileCommand)
  + [DeleteLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteLaunchTemplateCommand)
  + [DeleteLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteLoadBalancerCommand)
  + [DeleteTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteTargetGroupCommand)
  + [DescribeAutoScalingGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DescribeAutoScalingGroupsCommand)
  + [DescribeAvailabilityZones](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeAvailabilityZonesCommand)
  + [DescribeIamInstanceProfileAssociations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeIamInstanceProfileAssociationsCommand)
  + [DescribeInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstancesCommand)
  + [DescribeLoadBalancers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeLoadBalancersCommand)
  + [DescribeSubnets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSubnetsCommand)
  + [DescribeTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetGroupsCommand)
  + [DescribeTargetHealth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetHealthCommand)
  + [DescribeVpcs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeVpcsCommand)
  + [RebootInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RebootInstancesCommand)
  + [ReplaceIamInstanceProfileAssociation](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReplaceIamInstanceProfileAssociationCommand)
  + [TerminateInstanceInAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/TerminateInstanceInAutoScalingGroupCommand)
  + [UpdateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/UpdateAutoScalingGroupCommand)

# AWS Entity Resolution 使用適用於 JavaScript 的 SDK (v3) 的範例
<a name="javascript_3_entityresolution_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 來執行動作和實作常見案例 AWS Entity Resolution。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### 您好 AWS Entity Resolution
<a name="entityresolution_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 AWS Entity Resolution。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  EntityResolutionClient,
  ListMatchingWorkflowsCommand,
} from "@aws-sdk/client-entityresolution";

export const main = async () => {
  const region = "eu-west-1";
  const erClient = new EntityResolutionClient({ region: region });
  try {
    const command = new ListMatchingWorkflowsCommand({});
    const response = await erClient.send(command);
    const workflowSummaries = response.workflowSummaries;
    for (const workflowSummary of workflowSummaries) {
      console.log(`Attribute name: ${workflowSummaries[0].workflowName} `);
    }
    if (workflowSummaries.length === 0) {
      console.log("No matching workflows found.");
    }
  } catch (error) {
    console.error(
      `An error occurred in listing the workflow summaries: ${error.message} \n Exiting program.`,
    );
    return;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListMatchingWorkflows](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/ListMatchingWorkflowsCommand)。

## 動作
<a name="actions"></a>

### `CreateMatchingWorkflow`
<a name="entityresolution_CreateMatchingWorkflow_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateMatchingWorkflow`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  CreateMatchingWorkflowCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  const createMatchingWorkflowParams = {
    roleArn: `${data.inputs.roleArn}`,
    workflowName: `${data.inputs.workflowName}`,
    description: "Created by using the AWS SDK for JavaScript (v3).",
    inputSourceConfig: [
      {
        inputSourceARN: `${data.inputs.JSONinputSourceARN}`,
        schemaName: `${data.inputs.schemaNameJson}`,
        applyNormalization: false,
      },
      {
        inputSourceARN: `${data.inputs.CSVinputSourceARN}`,
        schemaName: `${data.inputs.schemaNameCSV}`,
        applyNormalization: false,
      },
    ],
    outputSourceConfig: [
      {
        outputS3Path: `s3://${data.inputs.myBucketName}/eroutput`,
        output: [
          {
            name: "id",
          },
          {
            name: "name",
          },
          {
            name: "email",
          },
          {
            name: "phone",
          },
        ],
        applyNormalization: false,
      },
    ],
    resolutionTechniques: { resolutionType: "ML_MATCHING" },
  };
  try {
    const command = new CreateMatchingWorkflowCommand(
      createMatchingWorkflowParams,
    );
    const response = await erClient.send(command);

    console.log(
      `Workflow created successfully.\n The workflow ARN is: ${response.workflowArn}`,
    );
  } catch (caught) {
    console.error(caught.message);
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateMatchingWorkflow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/CreateMatchingWorkflowCommand)。

### `CreateSchemaMapping`
<a name="entityresolution_CreateSchemaMapping_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateSchemaMapping`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  CreateSchemaMappingCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  const createSchemaMappingParamsJson = {
    schemaName: `${data.inputs.schemaNameJson}`,
    mappedInputFields: [
      {
        fieldName: "id",
        type: "UNIQUE_ID",
      },
      {
        fieldName: "name",
        type: "NAME",
      },
      {
        fieldName: "email",
        type: "EMAIL_ADDRESS",
      },
    ],
  };
  const createSchemaMappingParamsCSV = {
    schemaName: `${data.inputs.schemaNameCSV}`,
    mappedInputFields: [
      {
        fieldName: "id",
        type: "UNIQUE_ID",
      },
      {
        fieldName: "name",
        type: "NAME",
      },
      {
        fieldName: "email",
        type: "EMAIL_ADDRESS",
      },
      {
        fieldName: "phone",
        type: "PROVIDER_ID",
        subType: "STRING",
      },
    ],
  };
  try {
    const command = new CreateSchemaMappingCommand(
      createSchemaMappingParamsJson,
    );
    const response = await erClient.send(command);
    console.log("The JSON schema mapping name is ", response.schemaName);
  } catch (error) {
    console.log("error ", error.message);
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateSchemaMapping](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/CreateSchemaMappingCommand)。

### `DeleteMatchingWorkflow`
<a name="entityresolution_DeleteMatchingWorkflow_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteMatchingWorkflow`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  DeleteMatchingWorkflowCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  try {
    const deleteWorkflowParams = {
      workflowName: `${data.inputs.workflowName}`,
    };
    const command = new DeleteMatchingWorkflowCommand(deleteWorkflowParams);
    const response = await erClient.send(command);
    console.log("Workflow deleted successfully!", response);
  } catch (error) {
    console.log("error ", error);
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteMatchingWorkflow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/DeleteMatchingWorkflowCommand)。

### `DeleteSchemaMapping`
<a name="entityresolution_DeleteSchemaMapping_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteSchemaMapping`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  DeleteSchemaMappingCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  const deleteSchemaMapping = {
    schemaName: `${data.inputs.schemaNameJson}`,
  };
  try {
    const command = new DeleteSchemaMappingCommand(deleteSchemaMapping);
    const response = await erClient.send(command);
    console.log("Schema mapping deleted successfully. ", response);
  } catch (error) {
    console.log("error ", error);
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteSchemaMapping](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/DeleteSchemaMappingCommand)。

### `GetMatchingJob`
<a name="entityresolution_GetMatchingJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetMatchingJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  GetMatchingJobCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  async function getInfo() {
    const getJobInfoParams = {
      workflowName: `${data.inputs.workflowName}`,
      jobId: `${data.inputs.jobId}`,
    };
    try {
      const command = new GetMatchingJobCommand(getJobInfoParams);
      const response = await erClient.send(command);
      console.log(`Job status: ${response.status}`);
    } catch (error) {
      console.log("error ", error.message);
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetMatchingJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/GetMatchingJobCommand)。

### `GetSchemaMapping`
<a name="entityresolution_GetSchemaMapping_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetSchemaMapping`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  GetSchemaMappingCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  const getSchemaMappingJsonParams = {
    schemaName: `${data.inputs.schemaNameJson}`,
  };
  try {
    const command = new GetSchemaMappingCommand(getSchemaMappingJsonParams);
    const response = await erClient.send(command);
    console.log(response);
    console.log(
      `Schema mapping for the JSON data:\n ${response.mappedInputFields[0]}`,
    );
    console.log("Schema mapping ARN is: ", response.schemaArn);
  } catch (caught) {
    console.error(caught.message);
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetSchemaMapping](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/GetSchemaMappingCommand)。

### `ListSchemaMappings`
<a name="entityresolution_ListSchemaMappings_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListSchemaMappings`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  ListSchemaMappingsCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  async function getInfo() {
    const listSchemaMappingsParams = {
      workflowName: `${data.inputs.workflowName}`,
      jobId: `${data.inputs.jobId}`,
    };
    try {
      const command = new ListSchemaMappingsCommand(listSchemaMappingsParams);
      const response = await erClient.send(command);
      const noOfSchemas = response.schemaList.length;
      for (let i = 0; i < noOfSchemas; i++) {
        console.log(
          `Schema Mapping Name: ${response.schemaList[i].schemaName} `,
        );
      }
    } catch (caught) {
      console.error(caught.message);
      throw caught;
    }
  }
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ListSchemaMappings](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/ListSchemaMappingsCommand)。

### `StartMatchingJob`
<a name="entityresolution_StartMatchingJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartMatchingJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";
import {
  StartMatchingJobCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  const matchingJobOfWorkflowParams = {
    workflowName: `${data.inputs.workflowName}`,
  };
  try {
    const command = new StartMatchingJobCommand(matchingJobOfWorkflowParams);
    const response = await erClient.send(command);
    console.log(`Job ID: ${response.jobID} \n
The matching job was successfully started.`);
  } catch (caught) {
    console.error(caught.message);
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartMatchingJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/StartMatchingJobCommand)。

### `TagResource`
<a name="entityresolution_TagResource_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `TagResource`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/entityresolution#code-examples)中設定和執行。

```
//The default inputs for this demo are read from the ../inputs.json.

import { fileURLToPath } from "node:url";

import {
  TagResourceCommand,
  EntityResolutionClient,
} from "@aws-sdk/client-entityresolution";
import data from "../inputs.json" with { type: "json" };

const region = "eu-west-1";
const erClient = new EntityResolutionClient({ region: region });

export const main = async () => {
  const tagResourceCommandParams = {
    resourceArn: `${data.inputs.schemaArn}`,
    tags: {
      tag1: "tag1Value",
      tag2: "tag2Value",
    },
  };
  try {
    const command = new TagResourceCommand(tagResourceCommandParams);
    const response = await erClient.send(command);
    console.log("Successfully tagged the resource.");
  } catch (caught) {
    console.error(caught.message);
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/entityresolution/command/TagResourceCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 EventBridge 範例
<a name="javascript_3_eventbridge_code_examples"></a>

下列程式碼範例示範如何搭配 EventBridge 使用 適用於 JavaScript 的 AWS SDK (v3) 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)
+ [案例](#scenarios)

## 動作
<a name="actions"></a>

### `PutEvents`
<a name="eventbridge_PutEvents_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutEvents`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/eventbridge#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import {
  EventBridgeClient,
  PutEventsCommand,
} from "@aws-sdk/client-eventbridge";

export const putEvents = async (
  source = "eventbridge.integration.test",
  detailType = "greeting",
  resources = [],
) => {
  const client = new EventBridgeClient({});

  const response = await client.send(
    new PutEventsCommand({
      Entries: [
        {
          Detail: JSON.stringify({ greeting: "Hello there." }),
          DetailType: detailType,
          Resources: resources,
          Source: source,
        },
      ],
    }),
  );

  console.log("PutEvents response:");
  console.log(response);
  // PutEvents response:
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '3d0df73d-dcea-4a23-ae0d-f5556a3ac109',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   Entries: [ { EventId: '51620841-5af4-6402-d9bc-b77734991eb5' } ],
  //   FailedEntryCount: 0
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutEvents](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/eventbridge/command/PutEventsCommand)。

### `PutRule`
<a name="eventbridge_PutRule_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutRule`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/eventbridge#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { EventBridgeClient, PutRuleCommand } from "@aws-sdk/client-eventbridge";

export const putRule = async (
  ruleName = "some-rule",
  source = "some-source",
) => {
  const client = new EventBridgeClient({});

  const response = await client.send(
    new PutRuleCommand({
      Name: ruleName,
      EventPattern: JSON.stringify({ source: [source] }),
      State: "ENABLED",
      EventBusName: "default",
    }),
  );

  console.log("PutRule response:");
  console.log(response);
  // PutRule response:
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'd7292ced-1544-421b-842f-596326bc7072',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   RuleArn: 'arn:aws:events:us-east-1:xxxxxxxxxxxx:rule/EventBridgeTestRule-1696280037720'
  // }
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutRule](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/eventbridge/command/PutRuleCommand)。

### `PutTargets`
<a name="eventbridge_PutTargets_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutTargets`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/eventbridge#code-examples)中設定和執行。
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import {
  EventBridgeClient,
  PutTargetsCommand,
} from "@aws-sdk/client-eventbridge";

export const putTarget = async (
  existingRuleName = "some-rule",
  targetArn = "arn:aws:lambda:us-east-1:000000000000:function:test-func",
  uniqueId = Date.now().toString(),
) => {
  const client = new EventBridgeClient({});
  const response = await client.send(
    new PutTargetsCommand({
      Rule: existingRuleName,
      Targets: [
        {
          Arn: targetArn,
          Id: uniqueId,
        },
      ],
    }),
  );

  console.log("PutTargets response:");
  console.log(response);
  // PutTargets response:
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'f5b23b9a-2c17-45c1-ad5c-f926c3692e3d',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   FailedEntries: [],
  //   FailedEntryCount: 0
  // }

  return response;
};
```
+  如需 API 的詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutTargets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/eventbridge/command/PutTargetsCommand)。

## 案例
<a name="scenarios"></a>

### 使用排程事件來調用 Lambda 函式
<a name="cross_LambdaScheduledEvents_javascript_3_topic"></a>

下列程式碼範例示範如何建立由 Amazon EventBridge 排程事件呼叫的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何建立叫用 AWS Lambda 函數的 Amazon EventBridge 排程事件。將 EventBridge 設定為在調用 Lambda 函式時使用 Cron 表達式來進行排程。在此範例中，您會使用 Lambda JavaScript 執行時期 API 建立 Lambda 函式。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立應用程式，將行動裝置文字訊息傳送給員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-scheduled-events) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/scheduled-events-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ CloudWatch Logs
+ DynamoDB
+ EventBridge
+ Lambda
+ Amazon SNS

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Glacier 範例
<a name="javascript_3_glacier_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Glacier 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `CreateVault`
<a name="glacier_CreateVault_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateVault`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glacier#code-examples)中設定和執行。
建立用戶端。  

```
const { GlacierClient } = require("@aws-sdk/client-glacier");
// Set the AWS Region.
const REGION = "REGION";
//Set the Redshift Service Object
const glacierClient = new GlacierClient({ region: REGION });
export { glacierClient };
```
建立保存庫。  

```
// Load the SDK for JavaScript
import { CreateVaultCommand } from "@aws-sdk/client-glacier";
import { glacierClient } from "./libs/glacierClient.js";

// Set the parameters
const vaultname = "VAULT_NAME"; // VAULT_NAME
const params = { vaultName: vaultname };

const run = async () => {
  try {
    const data = await glacierClient.send(new CreateVaultCommand(params));
    console.log("Success, vault created!");
    return data; // For unit tests.
  } catch (err) {
    console.log("Error");
  }
};
run();
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/glacier-example-creating-a-vault.html)》。
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateVault](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glacier/command/CreateVaultCommand)。

### `UploadArchive`
<a name="glacier_UploadArchive_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UploadArchive`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glacier#code-examples)中設定和執行。
建立用戶端。  

```
const { GlacierClient } = require("@aws-sdk/client-glacier");
// Set the AWS Region.
const REGION = "REGION";
//Set the Redshift Service Object
const glacierClient = new GlacierClient({ region: REGION });
export { glacierClient };
```
上傳封存。  

```
// Load the SDK for JavaScript
import { UploadArchiveCommand } from "@aws-sdk/client-glacier";
import { glacierClient } from "./libs/glacierClient.js";

// Set the parameters
const vaultname = "VAULT_NAME"; // VAULT_NAME

// Create a new service object and buffer
const buffer = new Buffer.alloc(2.5 * 1024 * 1024); // 2.5MB buffer
const params = { vaultName: vaultname, body: buffer };

const run = async () => {
  try {
    const data = await glacierClient.send(new UploadArchiveCommand(params));
    console.log("Archive ID", data.archiveId);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error uploading archive!", err);
  }
};
run();
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/glacier-example-uploadarchive.html)》。
+  如需 API 的詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》的 [UploadArchive](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glacier/command/UploadArchiveCommand)。

# AWS Glue 使用適用於 JavaScript 的 SDK (v3) 的範例
<a name="javascript_3_glue_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 來執行動作和實作常見案例 AWS Glue。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### 您好 AWS Glue
<a name="glue_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 AWS Glue。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
import { ListJobsCommand, GlueClient } from "@aws-sdk/client-glue";

const client = new GlueClient({});

export const main = async () => {
  const command = new ListJobsCommand({});

  const { JobNames } = await client.send(command);
  const formattedJobNames = JobNames.join("\n");
  console.log("Job names: ");
  console.log(formattedJobNames);
  return JobNames;
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ListJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/ListJobsCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="glue_Scenario_GetStartedCrawlersJobs_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立網路爬取公有 Amazon S3 儲存貯體的爬蟲程式，以及產生 CSV 格式中繼資料的資料庫。
+ 列出 中資料庫和資料表的相關資訊 AWS Glue Data Catalog。
+ 建立從 S3 儲存貯體中擷取 CSV 資料的任務、轉換資料，以及將 JSON 格式的輸出載入至另一個 S3 儲存貯體。
+ 列出任務執行的相關資訊、檢視已轉換的資料以及清除資源。

如需詳細資訊，請參閱[教學課程： AWS Glue Studio 入門](https://docs.aws.amazon.com/glue/latest/ug/tutorial-create-job.html)。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。
建立並執行可網路爬取公有 Amazon Simple Storage Service (Amazon S3) 儲存貯體的爬蟲程式，並產生描述其所尋找 CSV 格式資料的中繼資料的資料庫。  

```
const createCrawler = (name, role, dbName, tablePrefix, s3TargetPath) => {
  const client = new GlueClient({});

  const command = new CreateCrawlerCommand({
    Name: name,
    Role: role,
    DatabaseName: dbName,
    TablePrefix: tablePrefix,
    Targets: {
      S3Targets: [{ Path: s3TargetPath }],
    },
  });

  return client.send(command);
};

const getCrawler = (name) => {
  const client = new GlueClient({});

  const command = new GetCrawlerCommand({
    Name: name,
  });

  return client.send(command);
};

const startCrawler = (name) => {
  const client = new GlueClient({});

  const command = new StartCrawlerCommand({
    Name: name,
  });

  return client.send(command);
};

const crawlerExists = async ({ getCrawler }, crawlerName) => {
  try {
    await getCrawler(crawlerName);
    return true;
  } catch {
    return false;
  }
};

/**
 * @param {{ createCrawler: import('../../../actions/create-crawler.js').createCrawler}} actions
 */
const makeCreateCrawlerStep = (actions) => async (context) => {
  if (await crawlerExists(actions, process.env.CRAWLER_NAME)) {
    log("Crawler already exists. Skipping creation.");
  } else {
    await actions.createCrawler(
      process.env.CRAWLER_NAME,
      process.env.ROLE_NAME,
      process.env.DATABASE_NAME,
      process.env.TABLE_PREFIX,
      process.env.S3_TARGET_PATH,
    );

    log("Crawler created successfully.", { type: "success" });
  }

  return { ...context };
};

/**
 * @param {(name: string) => Promise<import('@aws-sdk/client-glue').GetCrawlerCommandOutput>} getCrawler
 * @param {string} crawlerName
 */
const waitForCrawler = async (getCrawler, crawlerName) => {
  const waitTimeInSeconds = 30;
  const { Crawler } = await getCrawler(crawlerName);

  if (!Crawler) {
    throw new Error(`Crawler with name ${crawlerName} not found.`);
  }

  if (Crawler.State === "READY") {
    return;
  }

  log(`Crawler is ${Crawler.State}. Waiting ${waitTimeInSeconds} seconds...`);
  await wait(waitTimeInSeconds);
  return waitForCrawler(getCrawler, crawlerName);
};

const makeStartCrawlerStep =
  ({ startCrawler, getCrawler }) =>
  async (context) => {
    log("Starting crawler.");
    await startCrawler(process.env.CRAWLER_NAME);
    log("Crawler started.", { type: "success" });

    log("Waiting for crawler to finish running. This can take a while.");
    await waitForCrawler(getCrawler, process.env.CRAWLER_NAME);
    log("Crawler ready.", { type: "success" });

    return { ...context };
  };
```
列出 中資料庫和資料表的相關資訊 AWS Glue Data Catalog。  

```
const getDatabase = (name) => {
  const client = new GlueClient({});

  const command = new GetDatabaseCommand({
    Name: name,
  });

  return client.send(command);
};

const getTables = (databaseName) => {
  const client = new GlueClient({});

  const command = new GetTablesCommand({
    DatabaseName: databaseName,
  });

  return client.send(command);
};

const makeGetDatabaseStep =
  ({ getDatabase }) =>
  async (context) => {
    const {
      Database: { Name },
    } = await getDatabase(process.env.DATABASE_NAME);
    log(`Database: ${Name}`);
    return { ...context };
  };

/**
 * @param {{ getTables: () => Promise<import('@aws-sdk/client-glue').GetTablesCommandOutput}} config
 */
const makeGetTablesStep =
  ({ getTables }) =>
  async (context) => {
    const { TableList } = await getTables(process.env.DATABASE_NAME);
    log("Tables:");
    log(TableList.map((table) => `  • ${table.Name}\n`));
    return { ...context };
  };
```
建立並執行從來源 Amazon S3 儲存貯體中擷取 CSV 資料的任務、透過移除和重新命名欄位進行轉換，以及將 JSON 格式的輸出載入另一個 Amazon S3 儲存貯體。  

```
const createJob = (name, role, scriptBucketName, scriptKey) => {
  const client = new GlueClient({});

  const command = new CreateJobCommand({
    Name: name,
    Role: role,
    Command: {
      Name: "glueetl",
      PythonVersion: "3",
      ScriptLocation: `s3://${scriptBucketName}/${scriptKey}`,
    },
    GlueVersion: "3.0",
  });

  return client.send(command);
};

const startJobRun = (jobName, dbName, tableName, bucketName) => {
  const client = new GlueClient({});

  const command = new StartJobRunCommand({
    JobName: jobName,
    Arguments: {
      "--input_database": dbName,
      "--input_table": tableName,
      "--output_bucket_url": `s3://${bucketName}/`,
    },
  });

  return client.send(command);
};

const makeCreateJobStep =
  ({ createJob }) =>
  async (context) => {
    log("Creating Job.");
    await createJob(
      process.env.JOB_NAME,
      process.env.ROLE_NAME,
      process.env.BUCKET_NAME,
      process.env.PYTHON_SCRIPT_KEY,
    );
    log("Job created.", { type: "success" });

    return { ...context };
  };

/**
 * @param {(name: string, runId: string) => Promise<import('@aws-sdk/client-glue').GetJobRunCommandOutput> }  getJobRun
 * @param {string} jobName
 * @param {string} jobRunId
 */
const waitForJobRun = async (getJobRun, jobName, jobRunId) => {
  const waitTimeInSeconds = 30;
  const { JobRun } = await getJobRun(jobName, jobRunId);

  if (!JobRun) {
    throw new Error(`Job run with id ${jobRunId} not found.`);
  }

  switch (JobRun.JobRunState) {
    case "FAILED":
    case "TIMEOUT":
    case "STOPPED":
    case "ERROR":
      throw new Error(
        `Job ${JobRun.JobRunState}. Error: ${JobRun.ErrorMessage}`,
      );
    case "SUCCEEDED":
      return;
    default:
      break;
  }

  log(
    `Job ${JobRun.JobRunState}. Waiting ${waitTimeInSeconds} more seconds...`,
  );
  await wait(waitTimeInSeconds);
  return waitForJobRun(getJobRun, jobName, jobRunId);
};

/**
 * @param {{ prompter: { prompt: () => Promise<{ shouldOpen: boolean }>} }} context
 */
const promptToOpen = async (context) => {
  const { shouldOpen } = await context.prompter.prompt({
    name: "shouldOpen",
    type: "confirm",
    message: "Open the output bucket in your browser?",
  });

  if (shouldOpen) {
    return open(
      `https://s3.console.aws.amazon.com/s3/buckets/${process.env.BUCKET_NAME} to view the output.`,
    );
  }
};

const makeStartJobRunStep =
  ({ startJobRun, getJobRun }) =>
  async (context) => {
    log("Starting job.");
    const { JobRunId } = await startJobRun(
      process.env.JOB_NAME,
      process.env.DATABASE_NAME,
      process.env.TABLE_NAME,
      process.env.BUCKET_NAME,
    );
    log("Job started.", { type: "success" });

    log("Waiting for job to finish running. This can take a while.");
    await waitForJobRun(getJobRun, process.env.JOB_NAME, JobRunId);
    log("Job run succeeded.", { type: "success" });

    await promptToOpen(context);

    return { ...context };
  };
```
列出任務執行的相關資訊，並檢視部分轉換的資料。  

```
const getJobRuns = (jobName) => {
  const client = new GlueClient({});
  const command = new GetJobRunsCommand({
    JobName: jobName,
  });

  return client.send(command);
};

const getJobRun = (jobName, jobRunId) => {
  const client = new GlueClient({});
  const command = new GetJobRunCommand({
    JobName: jobName,
    RunId: jobRunId,
  });

  return client.send(command);
};

/**
 * @typedef {{ prompter: { prompt: () => Promise<{jobName: string}> } }} Context
 */

/**
 * @typedef {() => Promise<import('@aws-sdk/client-glue').GetJobRunCommandOutput>} getJobRun
 */

/**
 * @typedef {() => Promise<import('@aws-sdk/client-glue').GetJobRunsCommandOutput} getJobRuns
 */

/**
 *
 * @param {getJobRun} getJobRun
 * @param {string} jobName
 * @param {string} jobRunId
 */
const logJobRunDetails = async (getJobRun, jobName, jobRunId) => {
  const { JobRun } = await getJobRun(jobName, jobRunId);
  log(JobRun, { type: "object" });
};

/**
 *
 * @param {{getJobRuns: getJobRuns, getJobRun: getJobRun }} funcs
 */
const makePickJobRunStep =
  ({ getJobRuns, getJobRun }) =>
  async (/** @type { Context } */ context) => {
    if (context.selectedJobName) {
      const { JobRuns } = await getJobRuns(context.selectedJobName);

      const { jobRunId } = await context.prompter.prompt({
        name: "jobRunId",
        type: "list",
        message: "Select a job run to see details.",
        choices: JobRuns.map((run) => run.Id),
      });

      logJobRunDetails(getJobRun, context.selectedJobName, jobRunId);
    }

    return { ...context };
  };
```
刪除透過示範建立的所有資源。  

```
const deleteJob = (jobName) => {
  const client = new GlueClient({});

  const command = new DeleteJobCommand({
    JobName: jobName,
  });

  return client.send(command);
};

const deleteTable = (databaseName, tableName) => {
  const client = new GlueClient({});

  const command = new DeleteTableCommand({
    DatabaseName: databaseName,
    Name: tableName,
  });

  return client.send(command);
};

const deleteDatabase = (databaseName) => {
  const client = new GlueClient({});

  const command = new DeleteDatabaseCommand({
    Name: databaseName,
  });

  return client.send(command);
};

const deleteCrawler = (crawlerName) => {
  const client = new GlueClient({});

  const command = new DeleteCrawlerCommand({
    Name: crawlerName,
  });

  return client.send(command);
};

/**
 *
 * @param {import('../../../actions/delete-job.js').deleteJob} deleteJobFn
 * @param {string[]} jobNames
 * @param {{ prompter: { prompt: () => Promise<any> }}} context
 */
const handleDeleteJobs = async (deleteJobFn, jobNames, context) => {
  /**
   * @type {{ selectedJobNames: string[] }}
   */
  const { selectedJobNames } = await context.prompter.prompt({
    name: "selectedJobNames",
    type: "checkbox",
    message: "Let's clean up jobs. Select jobs to delete.",
    choices: jobNames,
  });

  if (selectedJobNames.length === 0) {
    log("No jobs selected.");
  } else {
    log("Deleting jobs.");
    await Promise.all(
      selectedJobNames.map((n) => deleteJobFn(n).catch(console.error)),
    );
    log("Jobs deleted.", { type: "success" });
  }
};

/**
 * @param {{
 *   listJobs: import('../../../actions/list-jobs.js').listJobs,
 *   deleteJob: import('../../../actions/delete-job.js').deleteJob
 * }} config
 */
const makeCleanUpJobsStep =
  ({ listJobs, deleteJob }) =>
  async (context) => {
    const { JobNames } = await listJobs();
    if (JobNames.length > 0) {
      await handleDeleteJobs(deleteJob, JobNames, context);
    }

    return { ...context };
  };

/**
 * @param {import('../../../actions/delete-table.js').deleteTable} deleteTable
 * @param {string} databaseName
 * @param {string[]} tableNames
 */
const deleteTables = (deleteTable, databaseName, tableNames) =>
  Promise.all(
    tableNames.map((tableName) =>
      deleteTable(databaseName, tableName).catch(console.error),
    ),
  );

/**
 * @param {{
 *  getTables: import('../../../actions/get-tables.js').getTables,
 *  deleteTable: import('../../../actions/delete-table.js').deleteTable
 * }} config
 */
const makeCleanUpTablesStep =
  ({ getTables, deleteTable }) =>
  /**
   * @param {{ prompter: { prompt: () => Promise<any>}}} context
   */
  async (context) => {
    const { TableList } = await getTables(process.env.DATABASE_NAME).catch(
      () => ({ TableList: null }),
    );

    if (TableList && TableList.length > 0) {
      /**
       * @type {{ tableNames: string[] }}
       */
      const { tableNames } = await context.prompter.prompt({
        name: "tableNames",
        type: "checkbox",
        message: "Let's clean up tables. Select tables to delete.",
        choices: TableList.map((t) => t.Name),
      });

      if (tableNames.length === 0) {
        log("No tables selected.");
      } else {
        log("Deleting tables.");
        await deleteTables(deleteTable, process.env.DATABASE_NAME, tableNames);
        log("Tables deleted.", { type: "success" });
      }
    }

    return { ...context };
  };

/**
 * @param {import('../../../actions/delete-database.js').deleteDatabase} deleteDatabase
 * @param {string[]} databaseNames
 */
const deleteDatabases = (deleteDatabase, databaseNames) =>
  Promise.all(
    databaseNames.map((dbName) => deleteDatabase(dbName).catch(console.error)),
  );

/**
 * @param {{
 *   getDatabases: import('../../../actions/get-databases.js').getDatabases
 *   deleteDatabase: import('../../../actions/delete-database.js').deleteDatabase
 * }} config
 */
const makeCleanUpDatabasesStep =
  ({ getDatabases, deleteDatabase }) =>
  /**
   * @param {{ prompter: { prompt: () => Promise<any>}} context
   */
  async (context) => {
    const { DatabaseList } = await getDatabases();

    if (DatabaseList.length > 0) {
      /** @type {{ dbNames: string[] }} */
      const { dbNames } = await context.prompter.prompt({
        name: "dbNames",
        type: "checkbox",
        message: "Let's clean up databases. Select databases to delete.",
        choices: DatabaseList.map((db) => db.Name),
      });

      if (dbNames.length === 0) {
        log("No databases selected.");
      } else {
        log("Deleting databases.");
        await deleteDatabases(deleteDatabase, dbNames);
        log("Databases deleted.", { type: "success" });
      }
    }

    return { ...context };
  };

const cleanUpCrawlerStep = async (context) => {
  log("Deleting crawler.");

  try {
    await deleteCrawler(process.env.CRAWLER_NAME);
    log("Crawler deleted.", { type: "success" });
  } catch (err) {
    if (err.name === "EntityNotFoundException") {
      log("Crawler is already deleted.");
    } else {
      throw err;
    }
  }

  return { ...context };
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [CreateCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/CreateCrawlerCommand)
  + [CreateJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/CreateJobCommand)
  + [DeleteCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteCrawlerCommand)
  + [DeleteDatabase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteDatabaseCommand)
  + [DeleteJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteJobCommand)
  + [DeleteTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteTableCommand)
  + [GetCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetCrawlerCommand)
  + [GetDatabase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetDatabaseCommand)
  + [GetDatabases](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetDatabasesCommand)
  + [GetJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetJobCommand)
  + [GetJobRun](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetJobRunCommand)
  + [GetJobRuns](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetJobRunsCommand)
  + [GetTables](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetTablesCommand)
  + [ListJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/ListJobsCommand)
  + [StartCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/StartCrawlerCommand)
  + [StartJobRun](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/StartJobRunCommand)

## 動作
<a name="actions"></a>

### `CreateCrawler`
<a name="glue_CreateCrawler_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateCrawler`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const createCrawler = (name, role, dbName, tablePrefix, s3TargetPath) => {
  const client = new GlueClient({});

  const command = new CreateCrawlerCommand({
    Name: name,
    Role: role,
    DatabaseName: dbName,
    TablePrefix: tablePrefix,
    Targets: {
      S3Targets: [{ Path: s3TargetPath }],
    },
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/CreateCrawlerCommand)。

### `CreateJob`
<a name="glue_CreateJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const createJob = (name, role, scriptBucketName, scriptKey) => {
  const client = new GlueClient({});

  const command = new CreateJobCommand({
    Name: name,
    Role: role,
    Command: {
      Name: "glueetl",
      PythonVersion: "3",
      ScriptLocation: `s3://${scriptBucketName}/${scriptKey}`,
    },
    GlueVersion: "3.0",
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/CreateJobCommand)。

### `DeleteCrawler`
<a name="glue_DeleteCrawler_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteCrawler`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const deleteCrawler = (crawlerName) => {
  const client = new GlueClient({});

  const command = new DeleteCrawlerCommand({
    Name: crawlerName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteCrawlerCommand)。

### `DeleteDatabase`
<a name="glue_DeleteDatabase_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteDatabase`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const deleteDatabase = (databaseName) => {
  const client = new GlueClient({});

  const command = new DeleteDatabaseCommand({
    Name: databaseName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteDatabase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteDatabaseCommand)。

### `DeleteJob`
<a name="glue_DeleteJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const deleteJob = (jobName) => {
  const client = new GlueClient({});

  const command = new DeleteJobCommand({
    JobName: jobName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteJobCommand)。

### `DeleteTable`
<a name="glue_DeleteTable_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTable`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const deleteTable = (databaseName, tableName) => {
  const client = new GlueClient({});

  const command = new DeleteTableCommand({
    DatabaseName: databaseName,
    Name: tableName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/DeleteTableCommand)。

### `GetCrawler`
<a name="glue_GetCrawler_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetCrawler`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getCrawler = (name) => {
  const client = new GlueClient({});

  const command = new GetCrawlerCommand({
    Name: name,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetCrawlerCommand)。

### `GetDatabase`
<a name="glue_GetDatabase_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetDatabase`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getDatabase = (name) => {
  const client = new GlueClient({});

  const command = new GetDatabaseCommand({
    Name: name,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetDatabase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetDatabaseCommand)。

### `GetDatabases`
<a name="glue_GetDatabases_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetDatabases`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getDatabases = () => {
  const client = new GlueClient({});

  const command = new GetDatabasesCommand({});

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetDatabases](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetDatabasesCommand)。

### `GetJob`
<a name="glue_GetJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getJob = (jobName) => {
  const client = new GlueClient({});

  const command = new GetJobCommand({
    JobName: jobName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetJobCommand)。

### `GetJobRun`
<a name="glue_GetJobRun_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetJobRun`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getJobRun = (jobName, jobRunId) => {
  const client = new GlueClient({});
  const command = new GetJobRunCommand({
    JobName: jobName,
    RunId: jobRunId,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetJobRun](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetJobRunCommand)。

### `GetJobRuns`
<a name="glue_GetJobRuns_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetJobRuns`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getJobRuns = (jobName) => {
  const client = new GlueClient({});
  const command = new GetJobRunsCommand({
    JobName: jobName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetJobRuns](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetJobRunsCommand)。

### `GetTables`
<a name="glue_GetTables_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetTables`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const getTables = (databaseName) => {
  const client = new GlueClient({});

  const command = new GetTablesCommand({
    DatabaseName: databaseName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetTables](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/GetTablesCommand)。

### `ListJobs`
<a name="glue_ListJobs_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListJobs`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const listJobs = () => {
  const client = new GlueClient({});

  const command = new ListJobsCommand({});

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ListJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/ListJobsCommand)。

### `StartCrawler`
<a name="glue_StartCrawler_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartCrawler`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const startCrawler = (name) => {
  const client = new GlueClient({});

  const command = new StartCrawlerCommand({
    Name: name,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考**》中的 [StartCrawler](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/StartCrawlerCommand)。

### `StartJobRun`
<a name="glue_StartJobRun_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartJobRun`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/glue#code-examples)中設定和執行。

```
const startJobRun = (jobName, dbName, tableName, bucketName) => {
  const client = new GlueClient({});

  const command = new StartJobRunCommand({
    JobName: jobName,
    Arguments: {
      "--input_database": dbName,
      "--input_table": tableName,
      "--output_bucket_url": `s3://${bucketName}/`,
    },
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考**》中的 [StartJobRun](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/glue/command/StartJobRunCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 HealthImaging 範例
<a name="javascript_3_medical-imaging_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 HealthImaging 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)
+ [案例](#scenarios)

## 開始使用
<a name="get_started"></a>

### Hello HealthImaging
<a name="medical-imaging_Hello_javascript_3_topic"></a>

下列程式碼範例說明如何開始使用 HealthImaging。

**適用於 JavaScript (v3) 的 SDK**  

```
import {
  ListDatastoresCommand,
  MedicalImagingClient,
} from "@aws-sdk/client-medical-imaging";

// When no region or credentials are provided, the SDK will use the
// region and credentials from the local AWS config.
const client = new MedicalImagingClient({});

export const helloMedicalImaging = async () => {
  const command = new ListDatastoresCommand({});

  const { datastoreSummaries } = await client.send(command);
  console.log("Datastores: ");
  console.log(datastoreSummaries.map((item) => item.datastoreName).join("\n"));
  return datastoreSummaries;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListDatastores](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListDatastoresCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

## 動作
<a name="actions"></a>

### `CopyImageSet`
<a name="medical-imaging_CopyImageSet_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CopyImageSet`。

**適用於 JavaScript (v3) 的 SDK**  
用於複製影像集的公用程式函數。  

```
import { CopyImageSetCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imageSetId - The source image set ID.
 * @param {string} sourceVersionId - The source version ID.
 * @param {string} destinationImageSetId - The optional ID of the destination image set.
 * @param {string} destinationVersionId - The optional version ID of the destination image set.
 * @param {boolean} force - Force the copy action.
 * @param {[string]} copySubsets - A subset of instance IDs to copy.
 */
export const copyImageSet = async (
  datastoreId = "xxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxx",
  sourceVersionId = "1",
  destinationImageSetId = "",
  destinationVersionId = "",
  force = false,
  copySubsets = [],
) => {
  try {
    const params = {
      datastoreId: datastoreId,
      sourceImageSetId: imageSetId,
      copyImageSetInformation: {
        sourceImageSet: { latestVersionId: sourceVersionId },
      },
      force: force,
    };
    if (destinationImageSetId !== "" && destinationVersionId !== "") {
      params.copyImageSetInformation.destinationImageSet = {
        imageSetId: destinationImageSetId,
        latestVersionId: destinationVersionId,
      };
    }

    if (copySubsets.length > 0) {
      let copySubsetsJson;
      copySubsetsJson = {
        SchemaVersion: 1.1,
        Study: {
          Series: {
            imageSetId: {
              Instances: {},
            },
          },
        },
      };

      for (let i = 0; i < copySubsets.length; i++) {
        copySubsetsJson.Study.Series.imageSetId.Instances[copySubsets[i]] = {};
      }

      params.copyImageSetInformation.dicomCopies = copySubsetsJson;
    }

    const response = await medicalImagingClient.send(
      new CopyImageSetCommand(params),
    );
    console.log(response);
    // {
    //     '$metadata': {
    //         httpStatusCode: 200,
    //         requestId: 'd9b219ce-cc48-4a44-a5b2-c5c3068f1ee8',
    //         extendedRequestId: undefined,
    //         cfId: undefined,
    //         attempts: 1,
    //         totalRetryDelay: 0
    //      },
    //       datastoreId: 'xxxxxxxxxxxxxx',
    //       destinationImageSetProperties: {
    //             createdAt: 2023-09-27T19:46:21.824Z,
    //             imageSetArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxxxx:datastore/xxxxxxxxxxxxx/imageset/xxxxxxxxxxxxxxxxxxx',
    //             imageSetId: 'xxxxxxxxxxxxxxx',
    //             imageSetState: 'LOCKED',
    //             imageSetWorkflowStatus: 'COPYING',
    //             latestVersionId: '1',
    //             updatedAt: 2023-09-27T19:46:21.824Z
    //       },
    //       sourceImageSetProperties: {
    //             createdAt: 2023-09-22T14:49:26.427Z,
    //             imageSetArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxxxx:datastore/xxxxxxxxxxxxx/imageset/xxxxxxxxxxxxxxxx',
    //             imageSetId: 'xxxxxxxxxxxxxxxx',
    //             imageSetState: 'LOCKED',
    //             imageSetWorkflowStatus: 'COPYING_WITH_READ_ONLY_ACCESS',
    //             latestVersionId: '4',
    //             updatedAt: 2023-09-27T19:46:21.824Z
    //      }
    // }
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
複製沒有目的地的影像集。  

```
  await copyImageSet(
    "12345678901234567890123456789012",
    "12345678901234567890123456789012",
    "1",
  );
```
使用目的地複製影像集。  

```
  await copyImageSet(
    "12345678901234567890123456789012",
    "12345678901234567890123456789012",
    "1",
    "12345678901234567890123456789012",
    "1",
    false,
  );
```
複製具有目的地的影像集子集，並強制複製。  

```
  await copyImageSet(
    "12345678901234567890123456789012",
    "12345678901234567890123456789012",
    "1",
    "12345678901234567890123456789012",
    "1",
    true,
    ["12345678901234567890123456789012", "11223344556677889900112233445566"],
  );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CopyImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/CopyImageSetCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `CreateDatastore`
<a name="medical-imaging_CreateDatastore_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateDatastore`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { CreateDatastoreCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreName - The name of the data store to create.
 */
export const createDatastore = async (datastoreName = "DATASTORE_NAME") => {
  const response = await medicalImagingClient.send(
    new CreateDatastoreCommand({ datastoreName: datastoreName }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: 'a71cd65f-2382-49bf-b682-f9209d8d399b',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //    },
  //    datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //    datastoreStatus: 'CREATING'
  // }
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateDatastore](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/CreateDatastoreCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `DeleteDatastore`
<a name="medical-imaging_DeleteDatastore_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteDatastore`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { DeleteDatastoreCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store to delete.
 */
export const deleteDatastore = async (datastoreId = "DATASTORE_ID") => {
  const response = await medicalImagingClient.send(
    new DeleteDatastoreCommand({ datastoreId }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //           httpStatusCode: 200,
  //           requestId: 'f5beb409-678d-48c9-9173-9a001ee1ebb1',
  //           extendedRequestId: undefined,
  //           cfId: undefined,
  //           attempts: 1,
  //           totalRetryDelay: 0
  //        },
  //     datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //     datastoreStatus: 'DELETING'
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteDatastore](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/DeleteDatastoreCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `DeleteImageSet`
<a name="medical-imaging_DeleteImageSet_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteImageSet`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { DeleteImageSetCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The data store ID.
 * @param {string} imageSetId - The image set ID.
 */
export const deleteImageSet = async (
  datastoreId = "xxxxxxxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxxxxxx",
) => {
  const response = await medicalImagingClient.send(
    new DeleteImageSetCommand({
      datastoreId: datastoreId,
      imageSetId: imageSetId,
    }),
  );
  console.log(response);
  // {
  //    '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '6267bbd2-eaa5-4a50-8ee8-8fddf535cf73',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     datastoreId: 'xxxxxxxxxxxxxxxx',
  //     imageSetId: 'xxxxxxxxxxxxxxx',
  //     imageSetState: 'LOCKED',
  //     imageSetWorkflowStatus: 'DELETING'
  // }
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/DeleteImageSetCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `GetDICOMImportJob`
<a name="medical-imaging_GetDICOMImportJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetDICOMImportJob`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { GetDICOMImportJobCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} jobId - The ID of the import job.
 */
export const getDICOMImportJob = async (
  datastoreId = "xxxxxxxxxxxxxxxxxxxx",
  jobId = "xxxxxxxxxxxxxxxxxxxx",
) => {
  const response = await medicalImagingClient.send(
    new GetDICOMImportJobCommand({ datastoreId: datastoreId, jobId: jobId }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: 'a2637936-78ea-44e7-98b8-7a87d95dfaee',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     jobProperties: {
  //         dataAccessRoleArn: 'arn:aws:iam::xxxxxxxxxxxx:role/dicom_import',
  //             datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxx',
  //             endedAt: 2023-09-19T17:29:21.753Z,
  //             inputS3Uri: 's3://healthimaging-source/CTStudy/',
  //             jobId: ''xxxxxxxxxxxxxxxxxxxxxxxxx'',
  //             jobName: 'job_1',
  //             jobStatus: 'COMPLETED',
  //             outputS3Uri: 's3://health-imaging-dest/ouput_ct/'xxxxxxxxxxxxxxxxxxxxxxxxx'-DicomImport-'xxxxxxxxxxxxxxxxxxxxxxxxx'/',
  //             submittedAt: 2023-09-19T17:27:25.143Z
  //     }
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetDICOMImportJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetDICOMImportJobCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `GetDatastore`
<a name="medical-imaging_GetDatastore_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetDatastore`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { GetDatastoreCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreID - The ID of the data store.
 */
export const getDatastore = async (datastoreID = "DATASTORE_ID") => {
  const response = await medicalImagingClient.send(
    new GetDatastoreCommand({ datastoreId: datastoreID }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: '55ea7d2e-222c-4a6a-871e-4f591f40cadb',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //    },
  //   datastoreProperties: {
  //        createdAt: 2023-08-04T18:50:36.239Z,
  //         datastoreArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxx:datastore/xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //         datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //         datastoreName: 'my_datastore',
  //         datastoreStatus: 'ACTIVE',
  //         updatedAt: 2023-08-04T18:50:36.239Z
  //   }
  // }
  return response.datastoreProperties;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetDatastore](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetDatastoreCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `GetImageFrame`
<a name="medical-imaging_GetImageFrame_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetImageFrame`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { GetImageFrameCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} imageFrameFileName - The name of the file for the HTJ2K-encoded image frame.
 * @param {string} datastoreID - The data store's ID.
 * @param {string} imageSetID - The image set's ID.
 * @param {string} imageFrameID - The image frame's ID.
 */
export const getImageFrame = async (
  imageFrameFileName = "image.jph",
  datastoreID = "DATASTORE_ID",
  imageSetID = "IMAGE_SET_ID",
  imageFrameID = "IMAGE_FRAME_ID",
) => {
  const response = await medicalImagingClient.send(
    new GetImageFrameCommand({
      datastoreId: datastoreID,
      imageSetId: imageSetID,
      imageFrameInformation: { imageFrameId: imageFrameID },
    }),
  );
  const buffer = await response.imageFrameBlob.transformToByteArray();
  writeFileSync(imageFrameFileName, buffer);

  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: 'e4ab42a5-25a3-4377-873f-374ecf4380e1',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     contentType: 'application/octet-stream',
  //     imageFrameBlob: <ref *1> IncomingMessage {}
  // }
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetImageFrame](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageFrameCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `GetImageSet`
<a name="medical-imaging_GetImageSet_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetImageSet`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { GetImageSetCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imageSetId - The ID of the image set.
 * @param {string} imageSetVersion - The optional version of the image set.
 *
 */
export const getImageSet = async (
  datastoreId = "xxxxxxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxxxxx",
  imageSetVersion = "",
) => {
  const params = { datastoreId: datastoreId, imageSetId: imageSetId };
  if (imageSetVersion !== "") {
    params.imageSetVersion = imageSetVersion;
  }
  const response = await medicalImagingClient.send(
    new GetImageSetCommand(params),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '0615c161-410d-4d06-9d8c-6e1241bb0a5a',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     createdAt: 2023-09-22T14:49:26.427Z,
  //     datastoreId: 'xxxxxxxxxxxxxxx',
  //     imageSetArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxxx:datastore/xxxxxxxxxxxxxxxxxxxx/imageset/xxxxxxxxxxxxxxxxxxxx',
  //     imageSetId: 'xxxxxxxxxxxxxxx',
  //     imageSetState: 'ACTIVE',
  //     imageSetWorkflowStatus: 'CREATED',
  //     updatedAt: 2023-09-22T14:49:26.427Z,
  //     versionId: '1'
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageSetCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `GetImageSetMetadata`
<a name="medical-imaging_GetImageSetMetadata_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetImageSetMetadata`。

**適用於 JavaScript (v3) 的 SDK**  
取得影像集中繼資料的公用程式函數。  

```
import { GetImageSetMetadataCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";
import { writeFileSync } from "node:fs";

/**
 * @param {string} metadataFileName - The name of the file for the gzipped metadata.
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imagesetId - The ID of the image set.
 * @param {string} versionID - The optional version ID of the image set.
 */
export const getImageSetMetadata = async (
  metadataFileName = "metadata.json.gzip",
  datastoreId = "xxxxxxxxxxxxxx",
  imagesetId = "xxxxxxxxxxxxxx",
  versionID = "",
) => {
  const params = { datastoreId: datastoreId, imageSetId: imagesetId };

  if (versionID) {
    params.versionID = versionID;
  }

  const response = await medicalImagingClient.send(
    new GetImageSetMetadataCommand(params),
  );
  const buffer = await response.imageSetMetadataBlob.transformToByteArray();
  writeFileSync(metadataFileName, buffer);

  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '5219b274-30ff-4986-8cab-48753de3a599',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     contentType: 'application/json',
  //     contentEncoding: 'gzip',
  //     imageSetMetadataBlob: <ref *1> IncomingMessage {}
  // }

  return response;
};
```
取得不含版本的影像集中繼資料。  

```
  try {
    await getImageSetMetadata(
      "metadata.json.gzip",
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
    );
  } catch (err) {
    console.log("Error", err);
  }
```
取得含版本的影像集中繼資料。  

```
  try {
    await getImageSetMetadata(
      "metadata2.json.gzip",
      "12345678901234567890123456789012",
      "12345678901234567890123456789012",
      "1",
    );
  } catch (err) {
    console.log("Error", err);
  }
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetImageSetMetadata](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageSetMetadataCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `ListDICOMImportJobs`
<a name="medical-imaging_ListDICOMImportJobs_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListDICOMImportJobs`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { paginateListDICOMImportJobs } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 */
export const listDICOMImportJobs = async (
  datastoreId = "xxxxxxxxxxxxxxxxxx",
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = { datastoreId: datastoreId };
  const paginator = paginateListDICOMImportJobs(paginatorConfig, commandParams);

  const jobSummaries = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    jobSummaries.push(...page.jobSummaries);
    console.log(page);
  }
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '3c20c66e-0797-446a-a1d8-91b742fd15a0',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     jobSummaries: [
  //         {
  //             dataAccessRoleArn: 'arn:aws:iam::xxxxxxxxxxxx:role/dicom_import',
  //             datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxx',
  //             endedAt: 2023-09-22T14:49:51.351Z,
  //             jobId: 'xxxxxxxxxxxxxxxxxxxxxxxxx',
  //             jobName: 'test-1',
  //             jobStatus: 'COMPLETED',
  //             submittedAt: 2023-09-22T14:48:45.767Z
  // }
  // ]}

  return jobSummaries;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListDICOMImportJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListDICOMImportJobsCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `ListDatastores`
<a name="medical-imaging_ListDatastores_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListDatastores`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { paginateListDatastores } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

export const listDatastores = async () => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = {};
  const paginator = paginateListDatastores(paginatorConfig, commandParams);

  /**
   * @type {import("@aws-sdk/client-medical-imaging").DatastoreSummary[]}
   */
  const datastoreSummaries = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    datastoreSummaries.push(...page.datastoreSummaries);
    console.log(page);
  }
  // {
  //   '$metadata': {
  //       httpStatusCode: 200,
  //       requestId: '6aa99231-d9c2-4716-a46e-edb830116fa3',
  //       extendedRequestId: undefined,
  //       cfId: undefined,
  //       attempts: 1,
  //       totalRetryDelay: 0
  //   },
  //   datastoreSummaries: [
  //     {
  //       createdAt: 2023-08-04T18:49:54.429Z,
  //       datastoreArn: 'arn:aws:medical-imaging:us-east-1:xxxxxxxxx:datastore/xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //       datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //       datastoreName: 'my_datastore',
  //       datastoreStatus: 'ACTIVE',
  //       updatedAt: 2023-08-04T18:49:54.429Z
  //     }
  //     ...
  //   ]
  // }

  return datastoreSummaries;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListDatastores](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListDatastoresCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `ListImageSetVersions`
<a name="medical-imaging_ListImageSetVersions_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListImageSetVersions`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { paginateListImageSetVersions } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} imageSetId - The ID of the image set.
 */
export const listImageSetVersions = async (
  datastoreId = "xxxxxxxxxxxx",
  imageSetId = "xxxxxxxxxxxx",
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = { datastoreId, imageSetId };
  const paginator = paginateListImageSetVersions(
    paginatorConfig,
    commandParams,
  );

  const imageSetPropertiesList = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    imageSetPropertiesList.push(...page.imageSetPropertiesList);
    console.log(page);
  }
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '74590b37-a002-4827-83f2-3c590279c742',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     imageSetPropertiesList: [
  //         {
  //             ImageSetWorkflowStatus: 'CREATED',
  //             createdAt: 2023-09-22T14:49:26.427Z,
  //             imageSetId: 'xxxxxxxxxxxxxxxxxxxxxxx',
  //             imageSetState: 'ACTIVE',
  //             versionId: '1'
  //         }]
  // }
  return imageSetPropertiesList;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListImageSetVersions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListImageSetVersionsCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `ListTagsForResource`
<a name="medical-imaging_ListTagsForResource_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListTagsForResource`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { ListTagsForResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 */
export const listTagsForResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:abc:datastore/def/imageset/ghi",
) => {
  const response = await medicalImagingClient.send(
    new ListTagsForResourceCommand({ resourceArn: resourceArn }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '008fc6d3-abec-4870-a155-20fa3631e645',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     tags: { Deployment: 'Development' }
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListTagsForResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListTagsForResourceCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `SearchImageSets`
<a name="medical-imaging_SearchImageSets_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SearchImageSets`。

**適用於 JavaScript (v3) 的 SDK**  
用於搜尋影像集的公用程式函數。  

```
import { paginateSearchImageSets } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The data store's ID.
 * @param { import('@aws-sdk/client-medical-imaging').SearchFilter[] } filters - The search criteria filters.
 * @param { import('@aws-sdk/client-medical-imaging').Sort } sort - The search criteria sort.
 */
export const searchImageSets = async (
  datastoreId = "xxxxxxxx",
  searchCriteria = {},
) => {
  const paginatorConfig = {
    client: medicalImagingClient,
    pageSize: 50,
  };

  const commandParams = {
    datastoreId: datastoreId,
    searchCriteria: searchCriteria,
  };

  const paginator = paginateSearchImageSets(paginatorConfig, commandParams);

  const imageSetsMetadataSummaries = [];
  for await (const page of paginator) {
    // Each page contains a list of `jobSummaries`. The list is truncated if is larger than `pageSize`.
    imageSetsMetadataSummaries.push(...page.imageSetsMetadataSummaries);
    console.log(page);
  }
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: 'f009ea9c-84ca-4749-b5b6-7164f00a5ada',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     imageSetsMetadataSummaries: [
  //         {
  //             DICOMTags: [Object],
  //             createdAt: "2023-09-19T16:59:40.551Z",
  //             imageSetId: '7f75e1b5c0f40eac2b24cf712f485f50',
  //             updatedAt: "2023-09-19T16:59:40.551Z",
  //             version: 1
  //         }]
  // }

  return imageSetsMetadataSummaries;
};
```
使用案例 \$11：EQUAL 運算子。  

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [{ DICOMPatientId: "1234567" }],
          operator: "EQUAL",
        },
      ],
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
使用案例 \$12：使用 DICOMStudyDate 和 DICOMStudyTime 的 BETWEEN 運算子。  

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [
            {
              DICOMStudyDateAndTime: {
                DICOMStudyDate: "19900101",
                DICOMStudyTime: "000000",
              },
            },
            {
              DICOMStudyDateAndTime: {
                DICOMStudyDate: "20230901",
                DICOMStudyTime: "000000",
              },
            },
          ],
          operator: "BETWEEN",
        },
      ],
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
使用案例 \$13：使用 createdAt 的 BETWEEN 運算子。先前持續進行的工時研究。  

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [
            { createdAt: new Date("1985-04-12T23:20:50.52Z") },
            { createdAt: new Date() },
          ],
          operator: "BETWEEN",
        },
      ],
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
使用案例 \$14：DICOMSeriesInstanceUID 上的 EQUAL 運算子，和 updatedAt 上的 BETWEEN，並在 updatedAt 欄位中依 ASC 順序排序回應。  

```
  const datastoreId = "12345678901234567890123456789012";

  try {
    const searchCriteria = {
      filters: [
        {
          values: [
            { updatedAt: new Date("1985-04-12T23:20:50.52Z") },
            { updatedAt: new Date() },
          ],
          operator: "BETWEEN",
        },
        {
          values: [
            {
              DICOMSeriesInstanceUID:
                "1.1.123.123456.1.12.1.1234567890.1234.12345678.123",
            },
          ],
          operator: "EQUAL",
        },
      ],
      sort: {
        sortOrder: "ASC",
        sortField: "updatedAt",
      },
    };

    await searchImageSets(datastoreId, searchCriteria);
  } catch (err) {
    console.error(err);
  }
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [SearchImageSets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/SearchImageSetsCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `StartDICOMImportJob`
<a name="medical-imaging_StartDICOMImportJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartDICOMImportJob`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { StartDICOMImportJobCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} jobName - The name of the import job.
 * @param {string} datastoreId - The ID of the data store.
 * @param {string} dataAccessRoleArn - The Amazon Resource Name (ARN) of the role that grants permission.
 * @param {string} inputS3Uri - The URI of the S3 bucket containing the input files.
 * @param {string} outputS3Uri - The URI of the S3 bucket where the output files are stored.
 */
export const startDicomImportJob = async (
  jobName = "test-1",
  datastoreId = "12345678901234567890123456789012",
  dataAccessRoleArn = "arn:aws:iam::xxxxxxxxxxxx:role/ImportJobDataAccessRole",
  inputS3Uri = "s3://medical-imaging-dicom-input/dicom_input/",
  outputS3Uri = "s3://medical-imaging-output/job_output/",
) => {
  const response = await medicalImagingClient.send(
    new StartDICOMImportJobCommand({
      jobName: jobName,
      datastoreId: datastoreId,
      dataAccessRoleArn: dataAccessRoleArn,
      inputS3Uri: inputS3Uri,
      outputS3Uri: outputS3Uri,
    }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //     httpStatusCode: 200,
  //         requestId: '6e81d191-d46b-4e48-a08a-cdcc7e11eb79',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  // },
  //     datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //     jobId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
  //     jobStatus: 'SUBMITTED',
  //     submittedAt: 2023-09-22T14:48:45.767Z
  // }
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartDICOMImportJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/StartDICOMImportJobCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `TagResource`
<a name="medical-imaging_TagResource_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `TagResource`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { TagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {Record<string,string>} tags - The tags to add to the resource as JSON.
 *                     - For example: {"Deployment" : "Development"}
 */
export const tagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tags = {},
) => {
  const response = await medicalImagingClient.send(
    new TagResourceCommand({ resourceArn: resourceArn, tags: tags }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/TagResourceCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `UntagResource`
<a name="medical-imaging_UntagResource_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UntagResource`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { UntagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {string[]} tagKeys - The keys of the tags to remove.
 */
export const untagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tagKeys = [],
) => {
  const response = await medicalImagingClient.send(
    new UntagResourceCommand({ resourceArn: resourceArn, tagKeys: tagKeys }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UntagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UntagResourceCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### `UpdateImageSetMetadata`
<a name="medical-imaging_UpdateImageSetMetadata_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateImageSetMetadata`。

**適用於 JavaScript (v3) 的 SDK**  

```
import { UpdateImageSetMetadataCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} datastoreId - The ID of the HealthImaging data store.
 * @param {string} imageSetId - The ID of the HealthImaging image set.
 * @param {string} latestVersionId - The ID of the HealthImaging image set version.
 * @param {{}} updateMetadata - The metadata to update.
 * @param {boolean} force - Force the update.
 */
export const updateImageSetMetadata = async (
  datastoreId = "xxxxxxxxxx",
  imageSetId = "xxxxxxxxxx",
  latestVersionId = "1",
  updateMetadata = "{}",
  force = false,
) => {
  try {
    const response = await medicalImagingClient.send(
      new UpdateImageSetMetadataCommand({
        datastoreId: datastoreId,
        imageSetId: imageSetId,
        latestVersionId: latestVersionId,
        updateImageSetMetadataUpdates: updateMetadata,
        force: force,
      }),
    );
    console.log(response);
    // {
    //     '$metadata': {
    //     httpStatusCode: 200,
    //         requestId: '7966e869-e311-4bff-92ec-56a61d3003ea',
    //         extendedRequestId: undefined,
    //         cfId: undefined,
    //         attempts: 1,
    //         totalRetryDelay: 0
    // },
    //     createdAt: 2023-09-22T14:49:26.427Z,
    //     datastoreId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
    //     imageSetId: 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
    //     imageSetState: 'LOCKED',
    //     imageSetWorkflowStatus: 'UPDATING',
    //     latestVersionId: '4',
    //     updatedAt: 2023-09-27T19:41:43.494Z
    // }
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
使用案例 \$11：插入或更新屬性並強制更新。  

```
    const insertAttributes = JSON.stringify({
      SchemaVersion: 1.1,
      Study: {
        DICOM: {
          StudyDescription: "CT CHEST",
        },
      },
    });

    const updateMetadata = {
      DICOMUpdates: {
        updatableAttributes: new TextEncoder().encode(insertAttributes),
      },
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
      true,
    );
```
使用案例 \$12：移除屬性。  

```
    // Attribute key and value must match the existing attribute.
    const remove_attribute = JSON.stringify({
      SchemaVersion: 1.1,
      Study: {
        DICOM: {
          StudyDescription: "CT CHEST",
        },
      },
    });

    const updateMetadata = {
      DICOMUpdates: {
        removableAttributes: new TextEncoder().encode(remove_attribute),
      },
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
    );
```
使用案例 \$13：移除執行個體。  

```
    const remove_instance = JSON.stringify({
      SchemaVersion: 1.1,
      Study: {
        Series: {
          "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {
            Instances: {
              "1.1.1.1.1.1.12345.123456789012.123.12345678901234.1": {},
            },
          },
        },
      },
    });

    const updateMetadata = {
      DICOMUpdates: {
        removableAttributes: new TextEncoder().encode(remove_instance),
      },
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
    );
```
使用案例 \$14：還原至舊版。  

```
    const updateMetadata = {
      revertToVersionId: "1",
    };

    await updateImageSetMetadata(
      datastoreID,
      imageSetID,
      versionID,
      updateMetadata,
    );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateImageSetMetadata](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UpdateImageSetMetadataCommand)。
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

## 案例
<a name="scenarios"></a>

### 開始使用影像集和影像影格
<a name="medical-imaging_Scenario_ImageSetsAndFrames_javascript_3_topic"></a>

下列程式碼範例示範如何在 HealthImaging 中匯入 DICOM 檔案，並下載影像影格。

實作結構化為 command-line 應用程式。
+ 設定用於 DICOM 匯入的資源。
+ 將 DICOM 檔案匯入資料存放區。
+ 擷取匯入任務的影像集 ID。
+ 擷取影像集的影像影格 ID。
+ 下載、解碼和驗證影像影格。
+ 清除資源。

**適用於 JavaScript (v3) 的 SDK**  
協調步驟 (index.js)。  

```
import {
  parseScenarioArgs,
  Scenario,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import {
  saveState,
  loadState,
} from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";

import {
  createStack,
  deployStack,
  getAccountId,
  getDatastoreName,
  getStackName,
  outputState,
  waitForStackCreation,
} from "./deploy-steps.js";
import {
  doCopy,
  selectDataset,
  copyDataset,
  outputCopiedObjects,
} from "./dataset-steps.js";
import {
  doImport,
  outputImportJobStatus,
  startDICOMImport,
  waitForImportJobCompletion,
} from "./import-steps.js";
import {
  getManifestFile,
  outputImageSetIds,
  parseManifestFile,
} from "./image-set-steps.js";
import {
  getImageSetMetadata,
  outputImageFrameIds,
} from "./image-frame-steps.js";
import { decodeAndVerifyImages, doVerify } from "./verify-steps.js";
import {
  confirmCleanup,
  deleteImageSets,
  deleteStack,
} from "./clean-up-steps.js";

const context = {};

const scenarios = {
  deploy: new Scenario(
    "Deploy Resources",
    [
      deployStack,
      getStackName,
      getDatastoreName,
      getAccountId,
      createStack,
      waitForStackCreation,
      outputState,
      saveState,
    ],
    context,
  ),
  demo: new Scenario(
    "Run Demo",
    [
      loadState,
      doCopy,
      selectDataset,
      copyDataset,
      outputCopiedObjects,
      doImport,
      startDICOMImport,
      waitForImportJobCompletion,
      outputImportJobStatus,
      getManifestFile,
      parseManifestFile,
      outputImageSetIds,
      getImageSetMetadata,
      outputImageFrameIds,
      doVerify,
      decodeAndVerifyImages,
      saveState,
    ],
    context,
  ),
  destroy: new Scenario(
    "Clean Up Resources",
    [loadState, confirmCleanup, deleteImageSets, deleteStack],
    context,
  ),
};

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Health Imaging Workflow",
    description:
      "Work with DICOM images using an AWS Health Imaging data store.",
    synopsis:
      "node index.js --scenario <deploy | demo | destroy> [-h|--help] [-y|--yes] [-v|--verbose]",
  });
}
```
部署資源 (deploy-steps.js)。  

```
import fs from "node:fs/promises";
import path from "node:path";

import {
  CloudFormationClient,
  CreateStackCommand,
  DescribeStacksCommand,
} from "@aws-sdk/client-cloudformation";
import { STSClient, GetCallerIdentityCommand } from "@aws-sdk/client-sts";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

const cfnClient = new CloudFormationClient({});
const stsClient = new STSClient({});

const __dirname = path.dirname(new URL(import.meta.url).pathname);
const cfnTemplatePath = path.join(
  __dirname,
  "../../../../../scenarios/features/healthimaging_image_sets/resources/cfn_template.yaml",
);

export const deployStack = new ScenarioInput(
  "deployStack",
  "Do you want to deploy the CloudFormation stack?",
  { type: "confirm" },
);

export const getStackName = new ScenarioInput(
  "getStackName",
  "Enter a name for the CloudFormation stack:",
  { type: "input", skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);

export const getDatastoreName = new ScenarioInput(
  "getDatastoreName",
  "Enter a name for the HealthImaging datastore:",
  { type: "input", skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);

export const getAccountId = new ScenarioAction(
  "getAccountId",
  async (/** @type {{}} */ state) => {
    const command = new GetCallerIdentityCommand({});
    const response = await stsClient.send(command);
    state.accountId = response.Account;
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.deployStack,
  },
);

export const createStack = new ScenarioAction(
  "createStack",
  async (/** @type {{}} */ state) => {
    const stackName = state.getStackName;
    const datastoreName = state.getDatastoreName;
    const accountId = state.accountId;

    const command = new CreateStackCommand({
      StackName: stackName,
      TemplateBody: await fs.readFile(cfnTemplatePath, "utf8"),
      Capabilities: ["CAPABILITY_IAM"],
      Parameters: [
        {
          ParameterKey: "datastoreName",
          ParameterValue: datastoreName,
        },
        {
          ParameterKey: "userAccountID",
          ParameterValue: accountId,
        },
      ],
    });

    const response = await cfnClient.send(command);
    state.stackId = response.StackId;
  },
  { skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);

export const waitForStackCreation = new ScenarioAction(
  "waitForStackCreation",
  async (/** @type {{}} */ state) => {
    const command = new DescribeStacksCommand({
      StackName: state.stackId,
    });

    await retry({ intervalInMs: 10000, maxRetries: 60 }, async () => {
      const response = await cfnClient.send(command);
      const stack = response.Stacks?.find(
        (s) => s.StackName === state.getStackName,
      );
      if (!stack || stack.StackStatus === "CREATE_IN_PROGRESS") {
        throw new Error("Stack creation is still in progress");
      }
      if (stack.StackStatus === "CREATE_COMPLETE") {
        state.stackOutputs = stack.Outputs?.reduce((acc, output) => {
          acc[output.OutputKey] = output.OutputValue;
          return acc;
        }, {});
      } else {
        throw new Error(
          `Stack creation failed with status: ${stack.StackStatus}`,
        );
      }
    });
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.deployStack,
  },
);

export const outputState = new ScenarioOutput(
  "outputState",
  (/** @type {{}} */ state) => {
    /**
     * @type {{ stackOutputs: { DatastoreID: string, BucketName: string, RoleArn: string }}}
     */
    const { stackOutputs } = state;
    return `Stack creation completed. Output values:
Datastore ID: ${stackOutputs?.DatastoreID}
Bucket Name: ${stackOutputs?.BucketName}
Role ARN: ${stackOutputs?.RoleArn}
    `;
  },
  { skipWhen: (/** @type {{}} */ state) => !state.deployStack },
);
```
複製 DICOM 檔案 (dataset-steps.js)。  

```
import {
  S3Client,
  CopyObjectCommand,
  ListObjectsV2Command,
} from "@aws-sdk/client-s3";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

const s3Client = new S3Client({});

const datasetOptions = [
  {
    name: "CT of chest (2 images)",
    value: "00029d25-fb18-4d42-aaa5-a0897d1ac8f7",
  },
  {
    name: "CT of pelvis (57 images)",
    value: "00025d30-ef8f-4135-a35a-d83eff264fc1",
  },
  {
    name: "MRI of head (192 images)",
    value: "0002d261-8a5d-4e63-8e2e-0cbfac87b904",
  },
  {
    name: "MRI of breast (92 images)",
    value: "0002dd07-0b7f-4a68-a655-44461ca34096",
  },
];

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   doCopy: boolean
 * }}} State
 */

export const selectDataset = new ScenarioInput(
  "selectDataset",
  (state) => {
    if (!state.doCopy) {
      process.exit(0);
    }
    return "Select a DICOM dataset to import:";
  },
  {
    type: "select",
    choices: datasetOptions,
  },
);

export const doCopy = new ScenarioInput(
  "doCopy",
  "Do you want to copy images from the public dataset into your bucket?",
  {
    type: "confirm",
  },
);

export const copyDataset = new ScenarioAction(
  "copyDataset",
  async (/** @type { State } */ state) => {
    const inputBucket = state.stackOutputs.BucketName;
    const inputPrefix = "input/";
    const selectedDatasetId = state.selectDataset;

    const sourceBucket = "idc-open-data";
    const sourcePrefix = `${selectedDatasetId}`;

    const listObjectsCommand = new ListObjectsV2Command({
      Bucket: sourceBucket,
      Prefix: sourcePrefix,
    });

    const objects = await s3Client.send(listObjectsCommand);

    const copyPromises = objects.Contents.map((object) => {
      const sourceKey = object.Key;
      const destinationKey = `${inputPrefix}${sourceKey
        .split("/")
        .slice(1)
        .join("/")}`;

      const copyCommand = new CopyObjectCommand({
        Bucket: inputBucket,
        CopySource: `/${sourceBucket}/${sourceKey}`,
        Key: destinationKey,
      });

      return s3Client.send(copyCommand);
    });

    const results = await Promise.all(copyPromises);
    state.copiedObjects = results.length;
  },
);

export const outputCopiedObjects = new ScenarioOutput(
  "outputCopiedObjects",
  (state) => `${state.copiedObjects} DICOM files were copied.`,
);
```
開始匯入資料儲存 (import-steps.js)。  

```
import {
  MedicalImagingClient,
  StartDICOMImportJobCommand,
  GetDICOMImportJobCommand,
} from "@aws-sdk/client-medical-imaging";

import {
  ScenarioAction,
  ScenarioOutput,
  ScenarioInput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }}} State
 */

export const doImport = new ScenarioInput(
  "doImport",
  "Do you want to import DICOM images into your datastore?",
  {
    type: "confirm",
    default: true,
  },
);

export const startDICOMImport = new ScenarioAction(
  "startDICOMImport",
  async (/** @type {State} */ state) => {
    if (!state.doImport) {
      process.exit(0);
    }
    const medicalImagingClient = new MedicalImagingClient({});
    const inputS3Uri = `s3://${state.stackOutputs.BucketName}/input/`;
    const outputS3Uri = `s3://${state.stackOutputs.BucketName}/output/`;

    const command = new StartDICOMImportJobCommand({
      dataAccessRoleArn: state.stackOutputs.RoleArn,
      datastoreId: state.stackOutputs.DatastoreID,
      inputS3Uri,
      outputS3Uri,
    });

    const response = await medicalImagingClient.send(command);
    state.importJobId = response.jobId;
  },
);

export const waitForImportJobCompletion = new ScenarioAction(
  "waitForImportJobCompletion",
  async (/** @type {State} */ state) => {
    const medicalImagingClient = new MedicalImagingClient({});
    const command = new GetDICOMImportJobCommand({
      datastoreId: state.stackOutputs.DatastoreID,
      jobId: state.importJobId,
    });

    await retry({ intervalInMs: 10000, maxRetries: 60 }, async () => {
      const response = await medicalImagingClient.send(command);
      const jobStatus = response.jobProperties?.jobStatus;
      if (!jobStatus || jobStatus === "IN_PROGRESS") {
        throw new Error("Import job is still in progress");
      }
      if (jobStatus === "COMPLETED") {
        state.importJobOutputS3Uri = response.jobProperties.outputS3Uri;
      } else {
        throw new Error(`Import job failed with status: ${jobStatus}`);
      }
    });
  },
);

export const outputImportJobStatus = new ScenarioOutput(
  "outputImportJobStatus",
  (state) =>
    `DICOM import job completed. Output location: ${state.importJobOutputS3Uri}`,
);
```
取得影像集 ID (image-set-steps.js - )。  

```
import { S3Client, GetObjectCommand } from "@aws-sdk/client-s3";

import {
  ScenarioAction,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, importJobId: string,
 * importJobOutputS3Uri: string,
 * imageSetIds: string[],
 * manifestContent: { jobSummary: { imageSetsSummary: { imageSetId: string }[] } }
 * }} State
 */

const s3Client = new S3Client({});

export const getManifestFile = new ScenarioAction(
  "getManifestFile",
  async (/** @type {State} */ state) => {
    const bucket = state.stackOutputs.BucketName;
    const prefix = `output/${state.stackOutputs.DatastoreID}-DicomImport-${state.importJobId}/`;
    const key = `${prefix}job-output-manifest.json`;

    const command = new GetObjectCommand({
      Bucket: bucket,
      Key: key,
    });

    const response = await s3Client.send(command);
    const manifestContent = await response.Body.transformToString();
    state.manifestContent = JSON.parse(manifestContent);
  },
);

export const parseManifestFile = new ScenarioAction(
  "parseManifestFile",
  (/** @type {State} */ state) => {
    const imageSetIds =
      state.manifestContent.jobSummary.imageSetsSummary.reduce((ids, next) => {
        return Object.assign({}, ids, {
          [next.imageSetId]: next.imageSetId,
        });
      }, {});
    state.imageSetIds = Object.keys(imageSetIds);
  },
);

export const outputImageSetIds = new ScenarioOutput(
  "outputImageSetIds",
  (/** @type {State} */ state) =>
    `The image sets created by this import job are: \n${state.imageSetIds
      .map((id) => `Image set: ${id}`)
      .join("\n")}`,
);
```
取得影像影格 ID (image-frame-steps.js)。  

```
import {
  MedicalImagingClient,
  GetImageSetMetadataCommand,
} from "@aws-sdk/client-medical-imaging";
import { gunzip } from "node:zlib";
import { promisify } from "node:util";

import {
  ScenarioAction,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

const gunzipAsync = promisify(gunzip);

/**
 * @typedef {Object} DICOMValueRepresentation
 * @property {string} name
 * @property {string} type
 * @property {string} value
 */

/**
 * @typedef {Object} ImageFrameInformation
 * @property {string} ID
 * @property {Array<{ Checksum: number, Height: number, Width: number }>} PixelDataChecksumFromBaseToFullResolution
 * @property {number} MinPixelValue
 * @property {number} MaxPixelValue
 * @property {number} FrameSizeInBytes
 */

/**
 * @typedef {Object} DICOMMetadata
 * @property {Object} DICOM
 * @property {DICOMValueRepresentation[]} DICOMVRs
 * @property {ImageFrameInformation[]} ImageFrames
 */

/**
 * @typedef {Object} Series
 * @property {{ [key: string]: DICOMMetadata }} Instances
 */

/**
 * @typedef {Object} Study
 * @property {Object} DICOM
 * @property {Series[]} Series
 */

/**
 * @typedef {Object} Patient
 * @property {Object} DICOM
 */

/**
 * @typedef {{
 *  SchemaVersion: string,
 *  DatastoreID: string,
 *  ImageSetID: string,
 *  Patient: Patient,
 *  Study: Study
 * }} ImageSetMetadata
 */

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, imageSetIds: string[] }} State
 */

const medicalImagingClient = new MedicalImagingClient({});

export const getImageSetMetadata = new ScenarioAction(
  "getImageSetMetadata",
  async (/** @type {State} */ state) => {
    const outputMetadata = [];

    for (const imageSetId of state.imageSetIds) {
      const command = new GetImageSetMetadataCommand({
        datastoreId: state.stackOutputs.DatastoreID,
        imageSetId,
      });

      const response = await medicalImagingClient.send(command);
      const compressedMetadataBlob =
        await response.imageSetMetadataBlob.transformToByteArray();
      const decompressedMetadata = await gunzipAsync(compressedMetadataBlob);
      const imageSetMetadata = JSON.parse(decompressedMetadata.toString());

      outputMetadata.push(imageSetMetadata);
    }

    state.imageSetMetadata = outputMetadata;
  },
);

export const outputImageFrameIds = new ScenarioOutput(
  "outputImageFrameIds",
  (/** @type {State & { imageSetMetadata: ImageSetMetadata[] }} */ state) => {
    let output = "";

    for (const metadata of state.imageSetMetadata) {
      const imageSetId = metadata.ImageSetID;
      /** @type {DICOMMetadata[]} */
      const instances = Object.values(metadata.Study.Series).flatMap(
        (series) => {
          return Object.values(series.Instances);
        },
      );
      const imageFrameIds = instances.flatMap((instance) =>
        instance.ImageFrames.map((frame) => frame.ID),
      );

      output += `Image set ID: ${imageSetId}\nImage frame IDs:\n${imageFrameIds.join(
        "\n",
      )}\n\n`;
    }

    return output;
  },
);
```
驗證影像影格 (verify-steps.js)。[AWS HealthImaging 像素資料驗證](https://github.com/aws-samples/aws-healthimaging-samples/tree/main/pixel-data-verification)程式庫已用於驗證。  

```
import { spawn } from "node:child_process";

import {
  ScenarioAction,
  ScenarioInput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * @typedef {Object} DICOMValueRepresentation
 * @property {string} name
 * @property {string} type
 * @property {string} value
 */

/**
 * @typedef {Object} ImageFrameInformation
 * @property {string} ID
 * @property {Array<{ Checksum: number, Height: number, Width: number }>} PixelDataChecksumFromBaseToFullResolution
 * @property {number} MinPixelValue
 * @property {number} MaxPixelValue
 * @property {number} FrameSizeInBytes
 */

/**
 * @typedef {Object} DICOMMetadata
 * @property {Object} DICOM
 * @property {DICOMValueRepresentation[]} DICOMVRs
 * @property {ImageFrameInformation[]} ImageFrames
 */

/**
 * @typedef {Object} Series
 * @property {{ [key: string]: DICOMMetadata }} Instances
 */

/**
 * @typedef {Object} Study
 * @property {Object} DICOM
 * @property {Series[]} Series
 */

/**
 * @typedef {Object} Patient
 * @property {Object} DICOM
 */

/**
 * @typedef {{
 *  SchemaVersion: string,
 *  DatastoreID: string,
 *  ImageSetID: string,
 *  Patient: Patient,
 *  Study: Study
 * }} ImageSetMetadata
 */

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, imageSetMetadata: ImageSetMetadata[] }} State
 */

export const doVerify = new ScenarioInput(
  "doVerify",
  "Do you want to verify the imported images?",
  {
    type: "confirm",
    default: true,
  },
);

export const decodeAndVerifyImages = new ScenarioAction(
  "decodeAndVerifyImages",
  async (/** @type {State} */ state) => {
    if (!state.doVerify) {
      process.exit(0);
    }
    const verificationTool = "./pixel-data-verification/index.js";

    for (const metadata of state.imageSetMetadata) {
      const datastoreId = state.stackOutputs.DatastoreID;
      const imageSetId = metadata.ImageSetID;

      for (const [seriesInstanceUid, series] of Object.entries(
        metadata.Study.Series,
      )) {
        for (const [sopInstanceUid, _] of Object.entries(series.Instances)) {
          console.log(
            `Verifying image set ${imageSetId} with series ${seriesInstanceUid} and sop ${sopInstanceUid}`,
          );
          const child = spawn(
            "node",
            [
              verificationTool,
              datastoreId,
              imageSetId,
              seriesInstanceUid,
              sopInstanceUid,
            ],
            { stdio: "inherit" },
          );

          await new Promise((resolve, reject) => {
            child.on("exit", (code) => {
              if (code === 0) {
                resolve();
              } else {
                reject(
                  new Error(
                    `Verification tool exited with code ${code} for image set ${imageSetId}`,
                  ),
                );
              }
            });
          });
        }
      }
    }
  },
);
```
銷毀資源 (clean-up-steps.js)。  

```
import {
  CloudFormationClient,
  DeleteStackCommand,
} from "@aws-sdk/client-cloudformation";
import {
  MedicalImagingClient,
  DeleteImageSetCommand,
} from "@aws-sdk/client-medical-imaging";

import {
  ScenarioAction,
  ScenarioInput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * @typedef {Object} DICOMValueRepresentation
 * @property {string} name
 * @property {string} type
 * @property {string} value
 */

/**
 * @typedef {Object} ImageFrameInformation
 * @property {string} ID
 * @property {Array<{ Checksum: number, Height: number, Width: number }>} PixelDataChecksumFromBaseToFullResolution
 * @property {number} MinPixelValue
 * @property {number} MaxPixelValue
 * @property {number} FrameSizeInBytes
 */

/**
 * @typedef {Object} DICOMMetadata
 * @property {Object} DICOM
 * @property {DICOMValueRepresentation[]} DICOMVRs
 * @property {ImageFrameInformation[]} ImageFrames
 */

/**
 * @typedef {Object} Series
 * @property {{ [key: string]: DICOMMetadata }} Instances
 */

/**
 * @typedef {Object} Study
 * @property {Object} DICOM
 * @property {Series[]} Series
 */

/**
 * @typedef {Object} Patient
 * @property {Object} DICOM
 */

/**
 * @typedef {{
 *  SchemaVersion: string,
 *  DatastoreID: string,
 *  ImageSetID: string,
 *  Patient: Patient,
 *  Study: Study
 * }} ImageSetMetadata
 */

/**
 * @typedef {{ stackOutputs: {
 *   BucketName: string,
 *   DatastoreID: string,
 *   RoleArn: string
 * }, imageSetMetadata: ImageSetMetadata[] }} State
 */

const cfnClient = new CloudFormationClient({});
const medicalImagingClient = new MedicalImagingClient({});

export const confirmCleanup = new ScenarioInput(
  "confirmCleanup",
  "Do you want to delete the created resources?",
  { type: "confirm" },
);

export const deleteImageSets = new ScenarioAction(
  "deleteImageSets",
  async (/** @type {State} */ state) => {
    const datastoreId = state.stackOutputs.DatastoreID;

    for (const metadata of state.imageSetMetadata) {
      const command = new DeleteImageSetCommand({
        datastoreId,
        imageSetId: metadata.ImageSetID,
      });

      try {
        await medicalImagingClient.send(command);
        console.log(`Successfully deleted image set ${metadata.ImageSetID}`);
      } catch (e) {
        if (e instanceof Error) {
          if (e.name === "ConflictException") {
            console.log(`Image set ${metadata.ImageSetID} already deleted`);
          }
        }
      }
    }
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.confirmCleanup,
  },
);

export const deleteStack = new ScenarioAction(
  "deleteStack",
  async (/** @type {State} */ state) => {
    const stackName = state.getStackName;

    const command = new DeleteStackCommand({
      StackName: stackName,
    });

    await cfnClient.send(command);
    console.log(`Stack ${stackName} deletion initiated`);
  },
  {
    skipWhen: (/** @type {{}} */ state) => !state.confirmCleanup,
  },
);
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [DeleteImageSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/DeleteImageSetCommand)
  + [GetDICOMImportJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetDICOMImportJobCommand)
  + [GetImageFrame](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageFrameCommand)
  + [GetImageSetMetadata](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/GetImageSetMetadataCommand)
  + [SearchImageSets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/SearchImageSetsCommand)
  + [StartDICOMImportJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/StartDICOMImportJobCommand)
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### 標記資料存放區
<a name="medical-imaging_Scenario_TaggingDataStores_javascript_3_topic"></a>

下列程式碼範例示範如何標記 HealthImaging 資料存放區。

**適用於 JavaScript (v3) 的 SDK**  
標記資料存放區。  

```
  try {
    const datastoreArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";
    const tags = {
      Deployment: "Development",
    };
    await tagResource(datastoreArn, tags);
  } catch (e) {
    console.log(e);
  }
```
標記資源的公用程式函數。  

```
import { TagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {Record<string,string>} tags - The tags to add to the resource as JSON.
 *                     - For example: {"Deployment" : "Development"}
 */
export const tagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tags = {},
) => {
  const response = await medicalImagingClient.send(
    new TagResourceCommand({ resourceArn: resourceArn, tags: tags }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
列出資料存放區的標籤。  

```
  try {
    const datastoreArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";
    const { tags } = await listTagsForResource(datastoreArn);
    console.log(tags);
  } catch (e) {
    console.log(e);
  }
```
列出資源標籤的公用程式函數。  

```
import { ListTagsForResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 */
export const listTagsForResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:abc:datastore/def/imageset/ghi",
) => {
  const response = await medicalImagingClient.send(
    new ListTagsForResourceCommand({ resourceArn: resourceArn }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '008fc6d3-abec-4870-a155-20fa3631e645',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     tags: { Deployment: 'Development' }
  // }

  return response;
};
```
取消標記資料存放區。  

```
  try {
    const datastoreArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012";
    const keys = ["Deployment"];
    await untagResource(datastoreArn, keys);
  } catch (e) {
    console.log(e);
  }
```
用於取消標記資源的公用程式函數。  

```
import { UntagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {string[]} tagKeys - The keys of the tags to remove.
 */
export const untagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tagKeys = [],
) => {
  const response = await medicalImagingClient.send(
    new UntagResourceCommand({ resourceArn: resourceArn, tagKeys: tagKeys }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [ListTagsForResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListTagsForResourceCommand)
  + [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/TagResourceCommand)
  + [UntagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UntagResourceCommand)
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

### 標記影像集
<a name="medical-imaging_Scenario_TaggingImageSets_javascript_3_topic"></a>

下列程式碼範例示範如何標記 HealthImaging 影像集。

**適用於 JavaScript (v3) 的 SDK**  
標記影像集。  

```
  try {
    const imagesetArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";
    const tags = {
      Deployment: "Development",
    };
    await tagResource(imagesetArn, tags);
  } catch (e) {
    console.log(e);
  }
```
標記資源的公用程式函數。  

```
import { TagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {Record<string,string>} tags - The tags to add to the resource as JSON.
 *                     - For example: {"Deployment" : "Development"}
 */
export const tagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tags = {},
) => {
  const response = await medicalImagingClient.send(
    new TagResourceCommand({ resourceArn: resourceArn, tags: tags }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
列出影像集的標籤。  

```
  try {
    const imagesetArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";
    const { tags } = await listTagsForResource(imagesetArn);
    console.log(tags);
  } catch (e) {
    console.log(e);
  }
```
列出資源標籤的公用程式函數。  

```
import { ListTagsForResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 */
export const listTagsForResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:abc:datastore/def/imageset/ghi",
) => {
  const response = await medicalImagingClient.send(
    new ListTagsForResourceCommand({ resourceArn: resourceArn }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //         httpStatusCode: 200,
  //         requestId: '008fc6d3-abec-4870-a155-20fa3631e645',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //     },
  //     tags: { Deployment: 'Development' }
  // }

  return response;
};
```
取消標記影像集。  

```
  try {
    const imagesetArn =
      "arn:aws:medical-imaging:us-east-1:123456789012:datastore/12345678901234567890123456789012/imageset/12345678901234567890123456789012";
    const keys = ["Deployment"];
    await untagResource(imagesetArn, keys);
  } catch (e) {
    console.log(e);
  }
```
用於取消標記資源的公用程式函數。  

```
import { UntagResourceCommand } from "@aws-sdk/client-medical-imaging";
import { medicalImagingClient } from "../libs/medicalImagingClient.js";

/**
 * @param {string} resourceArn - The Amazon Resource Name (ARN) for the data store or image set.
 * @param {string[]} tagKeys - The keys of the tags to remove.
 */
export const untagResource = async (
  resourceArn = "arn:aws:medical-imaging:us-east-1:xxxxxx:datastore/xxxxx/imageset/xxx",
  tagKeys = [],
) => {
  const response = await medicalImagingClient.send(
    new UntagResourceCommand({ resourceArn: resourceArn, tagKeys: tagKeys }),
  );
  console.log(response);
  // {
  //     '$metadata': {
  //        httpStatusCode: 204,
  //         requestId: '8a6de9a3-ec8e-47ef-8643-473518b19d45',
  //         extendedRequestId: undefined,
  //         cfId: undefined,
  //         attempts: 1,
  //         totalRetryDelay: 0
  //    }
  // }

  return response;
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [ListTagsForResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/ListTagsForResourceCommand)
  + [TagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/TagResourceCommand)
  + [UntagResource](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/medical-imaging/command/UntagResourceCommand)
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/medical-imaging#code-examples)中設定和執行。

# 使用適用於 JavaScript 的 SDK (v3) 的 IAM 範例
<a name="javascript_3_iam_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 IAM 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)
+ [案例](#scenarios)

## 開始使用
<a name="get_started"></a>

### Hello IAM
<a name="iam_Hello_javascript_3_topic"></a>

下列程式碼範例說明如何開始使用 IAM。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { IAMClient, paginateListPolicies } from "@aws-sdk/client-iam";

const client = new IAMClient({});

export const listLocalPolicies = async () => {
  /**
   * In v3, the clients expose paginateOperationName APIs that are written using async generators so that you can use async iterators in a for await..of loop.
   * https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators
   */
  const paginator = paginateListPolicies(
    { client, pageSize: 10 },
    // List only customer managed policies.
    { Scope: "Local" },
  );

  console.log("IAM policies defined in your account:");
  let policyCount = 0;
  for await (const page of paginator) {
    if (page.Policies) {
      for (const policy of page.Policies) {
        console.log(`${policy.PolicyName}`);
        policyCount++;
      }
    }
  }
  console.log(`Found ${policyCount} policies.`);
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [ListPolicies](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListPoliciesCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="iam_Scenario_CreateUserAssumeRole_javascript_3_topic"></a>

下列程式碼範例示範如何建立使用者並擔任角色。

**警告**  
為避免安全風險，在開發專用軟體或使用真實資料時，請勿使用 IAM 使用者進行身分驗證。相反地，搭配使用聯合功能和身分提供者，例如 [AWS IAM Identity Center](https://docs.aws.amazon.com/singlesignon/latest/userguide/what-is.html)。
+ 建立沒有許可的使用者。
+ 建立一個可授予許可的角色，以列出帳戶的 Amazon S3 儲存貯體。
+ 新增政策，讓使用者擔任該角色。
+ 使用暫時憑證，擔任角色並列出 S3 儲存貯體，然後清理資源。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立一個可授予許可的 IAM 使用者和角色，以列出 Amazon S3 儲存貯體。使用者只有擔任該角色的權利。擔任角色後，請使用暫時性憑證列出該帳戶的儲存貯體。  

```
import {
  CreateUserCommand,
  GetUserCommand,
  CreateAccessKeyCommand,
  CreatePolicyCommand,
  CreateRoleCommand,
  AttachRolePolicyCommand,
  DeleteAccessKeyCommand,
  DeleteUserCommand,
  DeleteRoleCommand,
  DeletePolicyCommand,
  DetachRolePolicyCommand,
  IAMClient,
} from "@aws-sdk/client-iam";
import { ListBucketsCommand, S3Client } from "@aws-sdk/client-s3";
import { AssumeRoleCommand, STSClient } from "@aws-sdk/client-sts";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";
import { ScenarioInput } from "@aws-doc-sdk-examples/lib/scenario/index.js";

// Set the parameters.
const iamClient = new IAMClient({});
const userName = "iam_basic_test_username";
const policyName = "iam_basic_test_policy";
const roleName = "iam_basic_test_role";

/**
 * Create a new IAM user. If the user already exists, give
 * the option to delete and re-create it.
 * @param {string} name
 */
export const createUser = async (name, confirmAll = false) => {
  try {
    const { User } = await iamClient.send(
      new GetUserCommand({ UserName: name }),
    );
    const input = new ScenarioInput(
      "deleteUser",
      "Do you want to delete and remake this user?",
      { type: "confirm" },
    );
    const deleteUser = await input.handle({}, { confirmAll });
    // If the user exists, and you want to delete it, delete the user
    // and then create it again.
    if (deleteUser) {
      await iamClient.send(new DeleteUserCommand({ UserName: User.UserName }));
      await iamClient.send(new CreateUserCommand({ UserName: name }));
    } else {
      console.warn(
        `${name} already exists. The scenario may not work as expected.`,
      );
      return User;
    }
  } catch (caught) {
    // If there is no user by that name, create one.
    if (caught instanceof Error && caught.name === "NoSuchEntityException") {
      const { User } = await iamClient.send(
        new CreateUserCommand({ UserName: name }),
      );
      return User;
    }
    throw caught;
  }
};

export const main = async (confirmAll = false) => {
  // Create a user. The user has no permissions by default.
  const User = await createUser(userName, confirmAll);

  if (!User) {
    throw new Error("User not created");
  }

  // Create an access key. This key is used to authenticate the new user to
  // Amazon Simple Storage Service (Amazon S3) and AWS Security Token Service (AWS STS).
  // It's not best practice to use access keys. For more information, see https://aws.amazon.com/iam/resources/best-practices/.
  const createAccessKeyResponse = await iamClient.send(
    new CreateAccessKeyCommand({ UserName: userName }),
  );

  if (
    !createAccessKeyResponse.AccessKey?.AccessKeyId ||
    !createAccessKeyResponse.AccessKey?.SecretAccessKey
  ) {
    throw new Error("Access key not created");
  }

  const {
    AccessKey: { AccessKeyId, SecretAccessKey },
  } = createAccessKeyResponse;

  let s3Client = new S3Client({
    credentials: {
      accessKeyId: AccessKeyId,
      secretAccessKey: SecretAccessKey,
    },
  });

  // Retry the list buckets operation until it succeeds. InvalidAccessKeyId is
  // thrown while the user and access keys are still stabilizing.
  await retry({ intervalInMs: 1000, maxRetries: 300 }, async () => {
    try {
      return await listBuckets(s3Client);
    } catch (err) {
      if (err instanceof Error && err.name === "InvalidAccessKeyId") {
        throw err;
      }
    }
  });

  // Retry the create role operation until it succeeds. A MalformedPolicyDocument error
  // is thrown while the user and access keys are still stabilizing.
  const { Role } = await retry(
    {
      intervalInMs: 2000,
      maxRetries: 60,
    },
    () =>
      iamClient.send(
        new CreateRoleCommand({
          AssumeRolePolicyDocument: JSON.stringify({
            Version: "2012-10-17",
            Statement: [
              {
                Effect: "Allow",
                Principal: {
                  // Allow the previously created user to assume this role.
                  AWS: User.Arn,
                },
                Action: "sts:AssumeRole",
              },
            ],
          }),
          RoleName: roleName,
        }),
      ),
  );

  if (!Role) {
    throw new Error("Role not created");
  }

  // Create a policy that allows the user to list S3 buckets.
  const { Policy: listBucketPolicy } = await iamClient.send(
    new CreatePolicyCommand({
      PolicyDocument: JSON.stringify({
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Action: ["s3:ListAllMyBuckets"],
            Resource: "*",
          },
        ],
      }),
      PolicyName: policyName,
    }),
  );

  if (!listBucketPolicy) {
    throw new Error("Policy not created");
  }

  // Attach the policy granting the 's3:ListAllMyBuckets' action to the role.
  await iamClient.send(
    new AttachRolePolicyCommand({
      PolicyArn: listBucketPolicy.Arn,
      RoleName: Role.RoleName,
    }),
  );

  // Assume the role.
  const stsClient = new STSClient({
    credentials: {
      accessKeyId: AccessKeyId,
      secretAccessKey: SecretAccessKey,
    },
  });

  // Retry the assume role operation until it succeeds.
  const { Credentials } = await retry(
    { intervalInMs: 2000, maxRetries: 60 },
    () =>
      stsClient.send(
        new AssumeRoleCommand({
          RoleArn: Role.Arn,
          RoleSessionName: `iamBasicScenarioSession-${Math.floor(
            Math.random() * 1000000,
          )}`,
          DurationSeconds: 900,
        }),
      ),
  );

  if (!Credentials?.AccessKeyId || !Credentials?.SecretAccessKey) {
    throw new Error("Credentials not created");
  }

  s3Client = new S3Client({
    credentials: {
      accessKeyId: Credentials.AccessKeyId,
      secretAccessKey: Credentials.SecretAccessKey,
      sessionToken: Credentials.SessionToken,
    },
  });

  // List the S3 buckets again.
  // Retry the list buckets operation until it succeeds. AccessDenied might
  // be thrown while the role policy is still stabilizing.
  await retry({ intervalInMs: 2000, maxRetries: 120 }, () =>
    listBuckets(s3Client),
  );

  // Clean up.
  await iamClient.send(
    new DetachRolePolicyCommand({
      PolicyArn: listBucketPolicy.Arn,
      RoleName: Role.RoleName,
    }),
  );

  await iamClient.send(
    new DeletePolicyCommand({
      PolicyArn: listBucketPolicy.Arn,
    }),
  );

  await iamClient.send(
    new DeleteRoleCommand({
      RoleName: Role.RoleName,
    }),
  );

  await iamClient.send(
    new DeleteAccessKeyCommand({
      UserName: userName,
      AccessKeyId,
    }),
  );

  await iamClient.send(
    new DeleteUserCommand({
      UserName: userName,
    }),
  );
};

/**
 *
 * @param {S3Client} s3Client
 */
const listBuckets = async (s3Client) => {
  const { Buckets } = await s3Client.send(new ListBucketsCommand({}));

  if (!Buckets) {
    throw new Error("Buckets not listed");
  }

  console.log(Buckets.map((bucket) => bucket.Name).join("\n"));
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AttachRolePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/AttachRolePolicyCommand)
  + [CreateAccessKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateAccessKeyCommand)
  + [CreatePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreatePolicyCommand)
  + [CreateRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateRoleCommand)
  + [CreateUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateUserCommand)
  + [DeleteAccessKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteAccessKeyCommand)
  + [DeletePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeletePolicyCommand)
  + [DeleteRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteRoleCommand)
  + [DeleteUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteUserCommand)
  + [DeleteUserPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteUserPolicyCommand)
  + [DetachRolePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DetachRolePolicyCommand)
  + [PutUserPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/PutUserPolicyCommand)

## 動作
<a name="actions"></a>

### `AttachRolePolicy`
<a name="iam_AttachRolePolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AttachRolePolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
連接政策。  

```
import { AttachRolePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} policyArn
 * @param {string} roleName
 */
export const attachRolePolicy = (policyArn, roleName) => {
  const command = new AttachRolePolicyCommand({
    PolicyArn: policyArn,
    RoleName: roleName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-policies.html#iam-examples-policies-attaching-role-policy)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [AttachRolePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/AttachRolePolicyCommand)。

### `CreateAccessKey`
<a name="iam_CreateAccessKey_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateAccessKey`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立存取金鑰。  

```
import { CreateAccessKeyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} userName
 */
export const createAccessKey = (userName) => {
  const command = new CreateAccessKeyCommand({ UserName: userName });
  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-access-keys.html#iam-examples-managing-access-keys-creating)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [CreateAccessKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateAccessKeyCommand)。

### `CreateAccountAlias`
<a name="iam_CreateAccountAlias_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateAccountAlias`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立帳戶別名。  

```
import { CreateAccountAliasCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} alias - A unique name for the account alias.
 * @returns
 */
export const createAccountAlias = (alias) => {
  const command = new CreateAccountAliasCommand({
    AccountAlias: alias,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-account-aliases.html#iam-examples-account-aliases-creating)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [CreateAccountAlias](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateAccountAliasCommand)。

### `CreateGroup`
<a name="iam_CreateGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { CreateGroupCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} groupName
 */
export const createGroup = async (groupName) => {
  const command = new CreateGroupCommand({ GroupName: groupName });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateGroupCommand)。

### `CreateInstanceProfile`
<a name="iam_CreateInstanceProfile_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateInstanceProfile`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
  const { InstanceProfile } = await iamClient.send(
    new CreateInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
    }),
  );
  await waitUntilInstanceProfileExists(
    { client: iamClient },
    { InstanceProfileName: NAMES.ssmOnlyInstanceProfileName },
  );
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [CreateInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateInstanceProfileCommand)。

### `CreatePolicy`
<a name="iam_CreatePolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreatePolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立政策。  

```
import { CreatePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} policyName
 */
export const createPolicy = (policyName) => {
  const command = new CreatePolicyCommand({
    PolicyDocument: JSON.stringify({
      Version: "2012-10-17",
      Statement: [
        {
          Effect: "Allow",
          Action: "*",
          Resource: "*",
        },
      ],
    }),
    PolicyName: policyName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-policies.html#iam-examples-policies-creating)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [CreatePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreatePolicyCommand)。

### `CreateRole`
<a name="iam_CreateRole_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateRole`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立角色。  

```
import { CreateRoleCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 */
export const createRole = (roleName) => {
  const command = new CreateRoleCommand({
    AssumeRolePolicyDocument: JSON.stringify({
      Version: "2012-10-17",
      Statement: [
        {
          Effect: "Allow",
          Principal: {
            Service: "lambda.amazonaws.com",
          },
          Action: "sts:AssumeRole",
        },
      ],
    }),
    RoleName: roleName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [CreateRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateRoleCommand)。

### `CreateSAMLProvider`
<a name="iam_CreateSAMLProvider_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateSAMLProvider`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { CreateSAMLProviderCommand, IAMClient } from "@aws-sdk/client-iam";
import { readFileSync } from "node:fs";
import * as path from "node:path";
import { dirnameFromMetaUrl } from "@aws-doc-sdk-examples/lib/utils/util-fs.js";

const client = new IAMClient({});

/**
 * This sample document was generated using Auth0.
 * For more information on generating this document, see https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_create_saml.html#samlstep1.
 */
const sampleMetadataDocument = readFileSync(
  path.join(
    dirnameFromMetaUrl(import.meta.url),
    "../../../../resources/sample_files/sample_saml_metadata.xml",
  ),
);

/**
 *
 * @param {*} providerName
 * @returns
 */
export const createSAMLProvider = async (providerName) => {
  const command = new CreateSAMLProviderCommand({
    Name: providerName,
    SAMLMetadataDocument: sampleMetadataDocument.toString(),
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [CreateSAMLProvider](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateSAMLProviderCommand)。

### `CreateServiceLinkedRole`
<a name="iam_CreateServiceLinkedRole_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateServiceLinkedRole`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立服務連結角色。  

```
import {
  CreateServiceLinkedRoleCommand,
  GetRoleCommand,
  IAMClient,
} from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} serviceName
 */
export const createServiceLinkedRole = async (serviceName) => {
  const command = new CreateServiceLinkedRoleCommand({
    // For a list of AWS services that support service-linked roles,
    // see https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_aws-services-that-work-with-iam.html.
    //
    // For a list of AWS service endpoints, see https://docs.aws.amazon.com/general/latest/gr/aws-service-information.html.
    AWSServiceName: serviceName,
  });
  try {
    const response = await client.send(command);
    console.log(response);
    return response;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "InvalidInputException" &&
      caught.message.includes(
        "Service role name AWSServiceRoleForElasticBeanstalk has been taken in this account",
      )
    ) {
      console.warn(caught.message);
      return client.send(
        new GetRoleCommand({ RoleName: "AWSServiceRoleForElasticBeanstalk" }),
      );
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [CreateServiceLinkedRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateServiceLinkedRoleCommand)。

### `CreateUser`
<a name="iam_CreateUser_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateUser`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
建立使用者。  

```
import { CreateUserCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} name
 */
export const createUser = (name) => {
  const command = new CreateUserCommand({ UserName: name });
  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-users.html#iam-examples-managing-users-creating-users)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [CreateUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateUserCommand)。

### `DeleteAccessKey`
<a name="iam_DeleteAccessKey_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteAccessKey`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
刪除存取金鑰。  

```
import { DeleteAccessKeyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} userName
 * @param {string} accessKeyId
 */
export const deleteAccessKey = (userName, accessKeyId) => {
  const command = new DeleteAccessKeyCommand({
    AccessKeyId: accessKeyId,
    UserName: userName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-access-keys.html#iam-examples-managing-access-keys-deleting)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DeleteAccessKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteAccessKeyCommand)。

### `DeleteAccountAlias`
<a name="iam_DeleteAccountAlias_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteAccountAlias`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
刪除帳戶別名。  

```
import { DeleteAccountAliasCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} alias
 */
export const deleteAccountAlias = (alias) => {
  const command = new DeleteAccountAliasCommand({ AccountAlias: alias });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-account-aliases.html#iam-examples-account-aliases-deleting)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DeleteAccountAlias](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteAccountAliasCommand)。

### `DeleteGroup`
<a name="iam_DeleteGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { DeleteGroupCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} groupName
 */
export const deleteGroup = async (groupName) => {
  const command = new DeleteGroupCommand({
    GroupName: groupName,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteGroupCommand)。

### `DeleteInstanceProfile`
<a name="iam_DeleteInstanceProfile_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteInstanceProfile`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。

```
      const client = new IAMClient({});
      await client.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteInstanceProfileCommand)。

### `DeletePolicy`
<a name="iam_DeletePolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeletePolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam/#code-examples)中設定和執行。
刪除政策。  

```
import { DeletePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} policyArn
 */
export const deletePolicy = (policyArn) => {
  const command = new DeletePolicyCommand({ PolicyArn: policyArn });
  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DeletePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeletePolicyCommand)。

### `DeleteRole`
<a name="iam_DeleteRole_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteRole`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
刪除角色。  

```
import { DeleteRoleCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 */
export const deleteRole = (roleName) => {
  const command = new DeleteRoleCommand({ RoleName: roleName });
  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DeleteRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteRoleCommand)。

### `DeleteRolePolicy`
<a name="iam_DeleteRolePolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteRolePolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { DeleteRolePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 * @param {string} policyName
 */
export const deleteRolePolicy = (roleName, policyName) => {
  const command = new DeleteRolePolicyCommand({
    RoleName: roleName,
    PolicyName: policyName,
  });
  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [DeleteRolePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteRolePolicyCommand)。

### `DeleteSAMLProvider`
<a name="iam_DeleteSAMLProvider_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteSAMLProvider`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { DeleteSAMLProviderCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} providerArn
 * @returns
 */
export const deleteSAMLProvider = async (providerArn) => {
  const command = new DeleteSAMLProviderCommand({
    SAMLProviderArn: providerArn,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [DeleteSAMLProvider](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteSAMLProviderCommand)。

### `DeleteServerCertificate`
<a name="iam_DeleteServerCertificate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteServerCertificate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
刪除伺服器憑證。  

```
import { DeleteServerCertificateCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} certName
 */
export const deleteServerCertificate = (certName) => {
  const command = new DeleteServerCertificateCommand({
    ServerCertificateName: certName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK 開發人員指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-deleting](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-deleting)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DeleteServerCertificate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteServerCertificateCommand)。

### `DeleteServiceLinkedRole`
<a name="iam_DeleteServiceLinkedRole_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteServiceLinkedRole`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { DeleteServiceLinkedRoleCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 */
export const deleteServiceLinkedRole = (roleName) => {
  const command = new DeleteServiceLinkedRoleCommand({ RoleName: roleName });
  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [DeleteServiceLinkedRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteServiceLinkedRoleCommand)。

### `DeleteUser`
<a name="iam_DeleteUser_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteUser`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
刪除使用者。  

```
import { DeleteUserCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} name
 */
export const deleteUser = (name) => {
  const command = new DeleteUserCommand({ UserName: name });
  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-users.html#iam-examples-managing-users-deleting-users)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DeleteUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteUserCommand)。

### `DetachRolePolicy`
<a name="iam_DetachRolePolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DetachRolePolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
分離政策。  

```
import { DetachRolePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} policyArn
 * @param {string} roleName
 */
export const detachRolePolicy = (policyArn, roleName) => {
  const command = new DetachRolePolicyCommand({
    PolicyArn: policyArn,
    RoleName: roleName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-policies.html#iam-examples-policies-detaching-role-policy)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [DetachRolePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DetachRolePolicyCommand)。

### `GetAccessKeyLastUsed`
<a name="iam_GetAccessKeyLastUsed_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetAccessKeyLastUsed`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
獲取存取金鑰。  

```
import { GetAccessKeyLastUsedCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} accessKeyId
 */
export const getAccessKeyLastUsed = async (accessKeyId) => {
  const command = new GetAccessKeyLastUsedCommand({
    AccessKeyId: accessKeyId,
  });

  const response = await client.send(command);

  if (response.AccessKeyLastUsed?.LastUsedDate) {
    console.log(`
    ${accessKeyId} was last used by ${response.UserName} via 
    the ${response.AccessKeyLastUsed.ServiceName} service on
    ${response.AccessKeyLastUsed.LastUsedDate.toISOString()}
    `);
  }

  return response;
};
```
+  如需詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK 開發人員指南》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [GetAccessKeyLastUsed](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/GetAccessKeyLastUsedCommand)。

### `GetAccountPasswordPolicy`
<a name="iam_GetAccountPasswordPolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetAccountPasswordPolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
取得帳戶密碼政策。  

```
import {
  GetAccountPasswordPolicyCommand,
  IAMClient,
} from "@aws-sdk/client-iam";

const client = new IAMClient({});

export const getAccountPasswordPolicy = async () => {
  const command = new GetAccountPasswordPolicyCommand({});

  const response = await client.send(command);
  console.log(response.PasswordPolicy);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [GetAccountPasswordPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/GetAccountPasswordPolicyCommand)。

### `GetPolicy`
<a name="iam_GetPolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetPolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
取得政策。  

```
import { GetPolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} policyArn
 */
export const getPolicy = (policyArn) => {
  const command = new GetPolicyCommand({
    PolicyArn: policyArn,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-policies.html#iam-examples-policies-getting)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [GetPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/GetPolicyCommand)。

### `GetRole`
<a name="iam_GetRole_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetRole`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
取得角色。  

```
import { GetRoleCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 */
export const getRole = (roleName) => {
  const command = new GetRoleCommand({
    RoleName: roleName,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [GetRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/GetRoleCommand)。

### `GetServerCertificate`
<a name="iam_GetServerCertificate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetServerCertificate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
獲取伺服器憑證。  

```
import { GetServerCertificateCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} certName
 * @returns
 */
export const getServerCertificate = async (certName) => {
  const command = new GetServerCertificateCommand({
    ServerCertificateName: certName,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK 開發人員指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-getting](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-getting)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [GetServerCertificate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/GetServerCertificateCommand)。

### `GetServiceLinkedRoleDeletionStatus`
<a name="iam_GetServiceLinkedRoleDeletionStatus_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetServiceLinkedRoleDeletionStatus`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import {
  GetServiceLinkedRoleDeletionStatusCommand,
  IAMClient,
} from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} deletionTaskId
 */
export const getServiceLinkedRoleDeletionStatus = (deletionTaskId) => {
  const command = new GetServiceLinkedRoleDeletionStatusCommand({
    DeletionTaskId: deletionTaskId,
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [GetServiceLinkedRoleDeletionStatus](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/GetServiceLinkedRoleDeletionStatusCommand)。

### `ListAccessKeys`
<a name="iam_ListAccessKeys_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListAccessKeys`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出存取金鑰。  

```
import { ListAccessKeysCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 *
 * @param {string} userName
 */
export async function* listAccessKeys(userName) {
  const command = new ListAccessKeysCommand({
    MaxItems: 5,
    UserName: userName,
  });

  /**
   * @type {import("@aws-sdk/client-iam").ListAccessKeysCommandOutput | undefined}
   */
  let response = await client.send(command);

  while (response?.AccessKeyMetadata?.length) {
    for (const key of response.AccessKeyMetadata) {
      yield key;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListAccessKeysCommand({
          Marker: response.Marker,
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-access-keys.html#iam-examples-managing-access-keys-listing)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListAccessKeys](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListAccessKeysCommand)。

### `ListAccountAliases`
<a name="iam_ListAccountAliases_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListAccountAliases`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出帳戶別名。  

```
import { ListAccountAliasesCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 */
export async function* listAccountAliases() {
  const command = new ListAccountAliasesCommand({ MaxItems: 5 });

  let response = await client.send(command);

  while (response.AccountAliases?.length) {
    for (const alias of response.AccountAliases) {
      yield alias;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListAccountAliasesCommand({
          Marker: response.Marker,
          MaxItems: 5,
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-account-aliases.html#iam-examples-account-aliases-listing)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListAccountAliases](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListAccountAliasesCommand)。

### `ListAttachedRolePolicies`
<a name="iam_ListAttachedRolePolicies_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListAttachedRolePolicies`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出連接至角色的政策。  

```
import {
  ListAttachedRolePoliciesCommand,
  IAMClient,
} from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 * @param {string} roleName
 */
export async function* listAttachedRolePolicies(roleName) {
  const command = new ListAttachedRolePoliciesCommand({
    RoleName: roleName,
  });

  let response = await client.send(command);

  while (response.AttachedPolicies?.length) {
    for (const policy of response.AttachedPolicies) {
      yield policy;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListAttachedRolePoliciesCommand({
          RoleName: roleName,
          Marker: response.Marker,
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListAttachedRolePolicies](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListAttachedRolePoliciesCommand)。

### `ListGroups`
<a name="iam_ListGroups_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListGroups`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出群組。  

```
import { ListGroupsCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 */
export async function* listGroups() {
  const command = new ListGroupsCommand({
    MaxItems: 10,
  });

  let response = await client.send(command);

  while (response.Groups?.length) {
    for (const group of response.Groups) {
      yield group;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListGroupsCommand({
          Marker: response.Marker,
          MaxItems: 10,
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListGroupsCommand)。

### `ListPolicies`
<a name="iam_ListPolicies_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListPolicies`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出政策。  

```
import { ListPoliciesCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 *
 */
export async function* listPolicies() {
  const command = new ListPoliciesCommand({
    MaxItems: 10,
    OnlyAttached: false,
    // List only the customer managed policies in your Amazon Web Services account.
    Scope: "Local",
  });

  let response = await client.send(command);

  while (response.Policies?.length) {
    for (const policy of response.Policies) {
      yield policy;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListPoliciesCommand({
          Marker: response.Marker,
          MaxItems: 10,
          OnlyAttached: false,
          Scope: "Local",
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListPolicies](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListPoliciesCommand)。

### `ListRolePolicies`
<a name="iam_ListRolePolicies_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListRolePolicies`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出政策。  

```
import { ListRolePoliciesCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 *
 * @param {string} roleName
 */
export async function* listRolePolicies(roleName) {
  const command = new ListRolePoliciesCommand({
    RoleName: roleName,
    MaxItems: 10,
  });

  let response = await client.send(command);

  while (response.PolicyNames?.length) {
    for (const policyName of response.PolicyNames) {
      yield policyName;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListRolePoliciesCommand({
          RoleName: roleName,
          MaxItems: 10,
          Marker: response.Marker,
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListRolePolicies](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListRolePoliciesCommand)。

### `ListRoles`
<a name="iam_ListRoles_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListRoles`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出角色。  

```
import { ListRolesCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 *
 */
export async function* listRoles() {
  const command = new ListRolesCommand({
    MaxItems: 10,
  });

  /**
   * @type {import("@aws-sdk/client-iam").ListRolesCommandOutput | undefined}
   */
  let response = await client.send(command);

  while (response?.Roles?.length) {
    for (const role of response.Roles) {
      yield role;
    }

    if (response.IsTruncated) {
      response = await client.send(
        new ListRolesCommand({
          Marker: response.Marker,
        }),
      );
    } else {
      break;
    }
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListRoles](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListRolesCommand)。

### `ListSAMLProviders`
<a name="iam_ListSAMLProviders_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListSAMLProviders`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出 SAML 供應商。  

```
import { ListSAMLProvidersCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

export const listSamlProviders = async () => {
  const command = new ListSAMLProvidersCommand({});

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListSAMLProviders](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListSAMLProvidersCommand)。

### `ListServerCertificates`
<a name="iam_ListServerCertificates_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListServerCertificates`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出憑證。  

```
import { ListServerCertificatesCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 * A generator function that handles paginated results.
 * The AWS SDK for JavaScript (v3) provides {@link https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/index.html#paginators | paginator} functions to simplify this.
 *
 */
export async function* listServerCertificates() {
  const command = new ListServerCertificatesCommand({});
  let response = await client.send(command);

  while (response.ServerCertificateMetadataList?.length) {
    for await (const cert of response.ServerCertificateMetadataList) {
      yield cert;
    }

    if (response.IsTruncated) {
      response = await client.send(new ListServerCertificatesCommand({}));
    } else {
      break;
    }
  }
}
```
+  如需詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK 開發人員指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-listing](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-listing)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListServerCertificates](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListServerCertificatesCommand)。

### `ListUsers`
<a name="iam_ListUsers_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListUsers`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
列出使用者。  

```
import { ListUsersCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

export const listUsers = async () => {
  const command = new ListUsersCommand({ MaxItems: 10 });

  const response = await client.send(command);

  for (const { UserName, CreateDate } of response.Users) {
    console.log(`${UserName} created on: ${CreateDate}`);
  }
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-users.html#iam-examples-managing-users-listing-users)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [ListUsers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/ListUsersCommand)。

### `PutRolePolicy`
<a name="iam_PutRolePolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutRolePolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { PutRolePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const examplePolicyDocument = JSON.stringify({
  Version: "2012-10-17",
  Statement: [
    {
      Sid: "VisualEditor0",
      Effect: "Allow",
      Action: [
        "s3:ListBucketMultipartUploads",
        "s3:ListBucketVersions",
        "s3:ListBucket",
        "s3:ListMultipartUploadParts",
      ],
      Resource: "arn:aws:s3:::amzn-s3-demo-bucket",
    },
    {
      Sid: "VisualEditor1",
      Effect: "Allow",
      Action: [
        "s3:ListStorageLensConfigurations",
        "s3:ListAccessPointsForObjectLambda",
        "s3:ListAllMyBuckets",
        "s3:ListAccessPoints",
        "s3:ListJobs",
        "s3:ListMultiRegionAccessPoints",
      ],
      Resource: "*",
    },
  ],
});

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 * @param {string} policyName
 * @param {string} policyDocument
 */
export const putRolePolicy = async (roleName, policyName, policyDocument) => {
  const command = new PutRolePolicyCommand({
    RoleName: roleName,
    PolicyName: policyName,
    PolicyDocument: policyDocument,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [PutRolePolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/PutRolePolicyCommand)。

### `UpdateAccessKey`
<a name="iam_UpdateAccessKey_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateAccessKey`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
更新存取金鑰。  

```
import {
  UpdateAccessKeyCommand,
  IAMClient,
  StatusType,
} from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} userName
 * @param {string} accessKeyId
 */
export const updateAccessKey = (userName, accessKeyId) => {
  const command = new UpdateAccessKeyCommand({
    AccessKeyId: accessKeyId,
    Status: StatusType.Inactive,
    UserName: userName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK 開發人員指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-access-keys.html#iam-examples-managing-access-keys-updating](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-access-keys.html#iam-examples-managing-access-keys-updating)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [UpdateAccessKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/UpdateAccessKeyCommand)。

### `UpdateServerCertificate`
<a name="iam_UpdateServerCertificate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateServerCertificate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
更新伺服器憑證。  

```
import { UpdateServerCertificateCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} currentName
 * @param {string} newName
 */
export const updateServerCertificate = (currentName, newName) => {
  const command = new UpdateServerCertificateCommand({
    ServerCertificateName: currentName,
    NewServerCertificateName: newName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK 開發人員指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-updating](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-server-certificates.html#iam-examples-server-certificates-updating)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 [UpdateServerCertificate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/UpdateServerCertificateCommand)。

### `UpdateUser`
<a name="iam_UpdateUser_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateUser`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。
更新使用者。  

```
import { UpdateUserCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} currentUserName
 * @param {string} newUserName
 */
export const updateUser = (currentUserName, newUserName) => {
  const command = new UpdateUserCommand({
    UserName: currentUserName,
    NewUserName: newUserName,
  });

  return client.send(command);
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/iam-examples-managing-users.html#iam-examples-managing-users-updating-users)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》中的 *UpdateUser*。

### `UploadServerCertificate`
<a name="iam_UploadServerCertificate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UploadServerCertificate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iam#code-examples)中設定和執行。

```
import { UploadServerCertificateCommand, IAMClient } from "@aws-sdk/client-iam";
import { readFileSync } from "node:fs";
import { dirnameFromMetaUrl } from "@aws-doc-sdk-examples/lib/utils/util-fs.js";
import * as path from "node:path";

const client = new IAMClient({});

const certMessage = `Generate a certificate and key with the following command, or the equivalent for your system.

openssl req -x509 -newkey rsa:4096 -sha256 -days 3650 -nodes \
-keyout example.key -out example.crt -subj "/CN=example.com" \
-addext "subjectAltName=DNS:example.com,DNS:www.example.net,IP:10.0.0.1"
`;

const getCertAndKey = () => {
  try {
    const cert = readFileSync(
      path.join(dirnameFromMetaUrl(import.meta.url), "./example.crt"),
    );
    const key = readFileSync(
      path.join(dirnameFromMetaUrl(import.meta.url), "./example.key"),
    );
    return { cert, key };
  } catch (err) {
    if (err.code === "ENOENT") {
      throw new Error(
        `Certificate and/or private key not found. ${certMessage}`,
      );
    }

    throw err;
  }
};

/**
 *
 * @param {string} certificateName
 */
export const uploadServerCertificate = (certificateName) => {
  const { cert, key } = getCertAndKey();
  const command = new UploadServerCertificateCommand({
    ServerCertificateName: certificateName,
    CertificateBody: cert.toString(),
    PrivateKey: key.toString(),
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [UploadServerCertificate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/UploadServerCertificateCommand)。

## 案例
<a name="scenarios"></a>

### 建置及管理彈性服務
<a name="cross_ResilientService_javascript_3_topic"></a>

下列程式碼範例會示範如何建立負載平衡的 Web 服務，以傳回書籍、影片和歌曲建議。此範例顯示服務如何回應失故障，以及如何在發生故障時重組服務以提高復原能力。
+ 使用 Amazon EC2 Auto Scaling 群組根據啟動範本建立 Amazon Elastic Compute Cloud (Amazon EC2) 執行個體，並將執行個體數量保持在指定範圍內。
+ 使用 Elastic Load Balancing 處理和分發 HTTP 請求。
+ 監控 Auto Scaling 群組中執行個體的運作狀態，並且只將請求轉送給運作良好的執行個體。
+ 在每個 EC2 執行個體上執行一個 Python Web 伺服器來處理 HTTP 請求。Web 伺服器會回應建議和運作狀態檢查。
+ 使用 Amazon DynamoDB 資料表模擬建議服務。
+ 透過更新 AWS Systems Manager 參數來控制 Web 伺服器對請求和運作狀態檢查的回應。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-resilient-service#code-examples)中設定和執行。
在命令提示中執行互動式案例。  

```
#!/usr/bin/env node
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0

import {
  Scenario,
  parseScenarioArgs,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

/**
 * The workflow steps are split into three stages:
 *   - deploy
 *   - demo
 *   - destroy
 *
 * Each of these stages has a corresponding file prefixed with steps-*.
 */
import { deploySteps } from "./steps-deploy.js";
import { demoSteps } from "./steps-demo.js";
import { destroySteps } from "./steps-destroy.js";

/**
 * The context is passed to every scenario. Scenario steps
 * will modify the context.
 */
const context = {};

/**
 * Three Scenarios are created for the workflow. A Scenario is an orchestration class
 * that simplifies running a series of steps.
 */
export const scenarios = {
  // Deploys all resources necessary for the workflow.
  deploy: new Scenario("Resilient Workflow - Deploy", deploySteps, context),
  // Demonstrates how a fragile web service can be made more resilient.
  demo: new Scenario("Resilient Workflow - Demo", demoSteps, context),
  // Destroys the resources created for the workflow.
  destroy: new Scenario("Resilient Workflow - Destroy", destroySteps, context),
};

// Call function if run directly
import { fileURLToPath } from "node:url";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Resilient Workflow",
    synopsis:
      "node index.js --scenario <deploy | demo | destroy> [-h|--help] [-y|--yes] [-v|--verbose]",
    description: "Deploy and interact with scalable EC2 instances.",
  });
}
```
建立步驟以部署所有資源。  

```
import { join } from "node:path";
import { readFileSync, writeFileSync } from "node:fs";
import axios from "axios";

import {
  BatchWriteItemCommand,
  CreateTableCommand,
  DynamoDBClient,
  waitUntilTableExists,
} from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  CreateKeyPairCommand,
  CreateLaunchTemplateCommand,
  DescribeAvailabilityZonesCommand,
  DescribeVpcsCommand,
  DescribeSubnetsCommand,
  DescribeSecurityGroupsCommand,
  AuthorizeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  AttachRolePolicyCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import { SSMClient, GetParameterCommand } from "@aws-sdk/client-ssm";
import {
  CreateAutoScalingGroupCommand,
  AutoScalingClient,
  AttachLoadBalancerTargetGroupsCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  CreateListenerCommand,
  CreateLoadBalancerCommand,
  CreateTargetGroupCommand,
  ElasticLoadBalancingV2Client,
  waitUntilLoadBalancerAvailable,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { saveState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH, ROOT } from "./constants.js";
import { initParamsSteps } from "./steps-reset-params.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const deploySteps = [
  new ScenarioOutput("introduction", MESSAGES.introduction, { header: true }),
  new ScenarioInput("confirmDeployment", MESSAGES.confirmDeployment, {
    type: "confirm",
  }),
  new ScenarioAction(
    "handleConfirmDeployment",
    (c) => c.confirmDeployment === false && process.exit(),
  ),
  new ScenarioOutput(
    "creatingTable",
    MESSAGES.creatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("createTable", async () => {
    const client = new DynamoDBClient({});
    await client.send(
      new CreateTableCommand({
        TableName: NAMES.tableName,
        ProvisionedThroughput: {
          ReadCapacityUnits: 5,
          WriteCapacityUnits: 5,
        },
        AttributeDefinitions: [
          {
            AttributeName: "MediaType",
            AttributeType: "S",
          },
          {
            AttributeName: "ItemId",
            AttributeType: "N",
          },
        ],
        KeySchema: [
          {
            AttributeName: "MediaType",
            KeyType: "HASH",
          },
          {
            AttributeName: "ItemId",
            KeyType: "RANGE",
          },
        ],
      }),
    );
    await waitUntilTableExists({ client }, { TableName: NAMES.tableName });
  }),
  new ScenarioOutput(
    "createdTable",
    MESSAGES.createdTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "populatingTable",
    MESSAGES.populatingTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioAction("populateTable", () => {
    const client = new DynamoDBClient({});
    /**
     * @type {{ default: import("@aws-sdk/client-dynamodb").PutRequest['Item'][] }}
     */
    const recommendations = JSON.parse(
      readFileSync(join(RESOURCES_PATH, "recommendations.json")),
    );

    return client.send(
      new BatchWriteItemCommand({
        RequestItems: {
          [NAMES.tableName]: recommendations.map((item) => ({
            PutRequest: { Item: item },
          })),
        },
      }),
    );
  }),
  new ScenarioOutput(
    "populatedTable",
    MESSAGES.populatedTable.replace("${TABLE_NAME}", NAMES.tableName),
  ),
  new ScenarioOutput(
    "creatingKeyPair",
    MESSAGES.creatingKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioAction("createKeyPair", async () => {
    const client = new EC2Client({});
    const { KeyMaterial } = await client.send(
      new CreateKeyPairCommand({
        KeyName: NAMES.keyPairName,
      }),
    );

    writeFileSync(`${NAMES.keyPairName}.pem`, KeyMaterial, { mode: 0o600 });
  }),
  new ScenarioOutput(
    "createdKeyPair",
    MESSAGES.createdKeyPair.replace("${KEY_PAIR_NAME}", NAMES.keyPairName),
  ),
  new ScenarioOutput(
    "creatingInstancePolicy",
    MESSAGES.creatingInstancePolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    ),
  ),
  new ScenarioAction("createInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const {
      Policy: { Arn },
    } = await client.send(
      new CreatePolicyCommand({
        PolicyName: NAMES.instancePolicyName,
        PolicyDocument: readFileSync(
          join(RESOURCES_PATH, "instance_policy.json"),
        ),
      }),
    );
    state.instancePolicyArn = Arn;
  }),
  new ScenarioOutput("createdInstancePolicy", (state) =>
    MESSAGES.createdInstancePolicy
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_POLICY_ARN}", state.instancePolicyArn),
  ),
  new ScenarioOutput(
    "creatingInstanceRole",
    MESSAGES.creatingInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioAction("createInstanceRole", () => {
    const client = new IAMClient({});
    return client.send(
      new CreateRoleCommand({
        RoleName: NAMES.instanceRoleName,
        AssumeRolePolicyDocument: readFileSync(
          join(ROOT, "assume-role-policy.json"),
        ),
      }),
    );
  }),
  new ScenarioOutput(
    "createdInstanceRole",
    MESSAGES.createdInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    ),
  ),
  new ScenarioOutput(
    "attachingPolicyToRole",
    MESSAGES.attachingPolicyToRole
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName)
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName),
  ),
  new ScenarioAction("attachPolicyToRole", async (state) => {
    const client = new IAMClient({});
    await client.send(
      new AttachRolePolicyCommand({
        RoleName: NAMES.instanceRoleName,
        PolicyArn: state.instancePolicyArn,
      }),
    );
  }),
  new ScenarioOutput(
    "attachedPolicyToRole",
    MESSAGES.attachedPolicyToRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioOutput(
    "creatingInstanceProfile",
    MESSAGES.creatingInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    ),
  ),
  new ScenarioAction("createInstanceProfile", async (state) => {
    const client = new IAMClient({});
    const {
      InstanceProfile: { Arn },
    } = await client.send(
      new CreateInstanceProfileCommand({
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
    state.instanceProfileArn = Arn;

    await waitUntilInstanceProfileExists(
      { client },
      { InstanceProfileName: NAMES.instanceProfileName },
    );
  }),
  new ScenarioOutput("createdInstanceProfile", (state) =>
    MESSAGES.createdInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_PROFILE_ARN}", state.instanceProfileArn),
  ),
  new ScenarioOutput(
    "addingRoleToInstanceProfile",
    MESSAGES.addingRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  new ScenarioAction("addRoleToInstanceProfile", () => {
    const client = new IAMClient({});
    return client.send(
      new AddRoleToInstanceProfileCommand({
        RoleName: NAMES.instanceRoleName,
        InstanceProfileName: NAMES.instanceProfileName,
      }),
    );
  }),
  new ScenarioOutput(
    "addedRoleToInstanceProfile",
    MESSAGES.addedRoleToInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName),
  ),
  ...initParamsSteps,
  new ScenarioOutput("creatingLaunchTemplate", MESSAGES.creatingLaunchTemplate),
  new ScenarioAction("createLaunchTemplate", async () => {
    const ssmClient = new SSMClient({});
    const { Parameter } = await ssmClient.send(
      new GetParameterCommand({
        Name: "/aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2",
      }),
    );
    const ec2Client = new EC2Client({});
    await ec2Client.send(
      new CreateLaunchTemplateCommand({
        LaunchTemplateName: NAMES.launchTemplateName,
        LaunchTemplateData: {
          InstanceType: "t3.micro",
          ImageId: Parameter.Value,
          IamInstanceProfile: { Name: NAMES.instanceProfileName },
          UserData: readFileSync(
            join(RESOURCES_PATH, "server_startup_script.sh"),
          ).toString("base64"),
          KeyName: NAMES.keyPairName,
        },
      }),
    );
  }),
  new ScenarioOutput(
    "createdLaunchTemplate",
    MESSAGES.createdLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    ),
  ),
  new ScenarioOutput(
    "creatingAutoScalingGroup",
    MESSAGES.creatingAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    ),
  ),
  new ScenarioAction("createAutoScalingGroup", async (state) => {
    const ec2Client = new EC2Client({});
    const { AvailabilityZones } = await ec2Client.send(
      new DescribeAvailabilityZonesCommand({}),
    );
    state.availabilityZoneNames = AvailabilityZones.map((az) => az.ZoneName);
    const autoScalingClient = new AutoScalingClient({});
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new CreateAutoScalingGroupCommand({
          AvailabilityZones: state.availabilityZoneNames,
          AutoScalingGroupName: NAMES.autoScalingGroupName,
          LaunchTemplate: {
            LaunchTemplateName: NAMES.launchTemplateName,
            Version: "$Default",
          },
          MinSize: 3,
          MaxSize: 3,
        }),
      ),
    );
  }),
  new ScenarioOutput(
    "createdAutoScalingGroup",
    /**
     * @param {{ availabilityZoneNames: string[] }} state
     */
    (state) =>
      MESSAGES.createdAutoScalingGroup
        .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName)
        .replace(
          "${AVAILABILITY_ZONE_NAMES}",
          state.availabilityZoneNames.join(", "),
        ),
  ),
  new ScenarioInput("confirmContinue", MESSAGES.confirmContinue, {
    type: "confirm",
  }),
  new ScenarioOutput("loadBalancer", MESSAGES.loadBalancer),
  new ScenarioOutput("gettingVpc", MESSAGES.gettingVpc),
  new ScenarioAction("getVpc", async (state) => {
    const client = new EC2Client({});
    const { Vpcs } = await client.send(
      new DescribeVpcsCommand({
        Filters: [{ Name: "is-default", Values: ["true"] }],
      }),
    );
    state.defaultVpc = Vpcs[0].VpcId;
  }),
  new ScenarioOutput("gotVpc", (state) =>
    MESSAGES.gotVpc.replace("${VPC_ID}", state.defaultVpc),
  ),
  new ScenarioOutput("gettingSubnets", MESSAGES.gettingSubnets),
  new ScenarioAction("getSubnets", async (state) => {
    const client = new EC2Client({});
    const { Subnets } = await client.send(
      new DescribeSubnetsCommand({
        Filters: [
          { Name: "vpc-id", Values: [state.defaultVpc] },
          { Name: "availability-zone", Values: state.availabilityZoneNames },
          { Name: "default-for-az", Values: ["true"] },
        ],
      }),
    );
    state.subnets = Subnets.map((subnet) => subnet.SubnetId);
  }),
  new ScenarioOutput(
    "gotSubnets",
    /**
     * @param {{ subnets: string[] }} state
     */
    (state) =>
      MESSAGES.gotSubnets.replace("${SUBNETS}", state.subnets.join(", ")),
  ),
  new ScenarioOutput(
    "creatingLoadBalancerTargetGroup",
    MESSAGES.creatingLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioAction("createLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { TargetGroups } = await client.send(
      new CreateTargetGroupCommand({
        Name: NAMES.loadBalancerTargetGroupName,
        Protocol: "HTTP",
        Port: 80,
        HealthCheckPath: "/healthcheck",
        HealthCheckIntervalSeconds: 10,
        HealthCheckTimeoutSeconds: 5,
        HealthyThresholdCount: 2,
        UnhealthyThresholdCount: 2,
        VpcId: state.defaultVpc,
      }),
    );
    const targetGroup = TargetGroups[0];
    state.targetGroupArn = targetGroup.TargetGroupArn;
    state.targetGroupProtocol = targetGroup.Protocol;
    state.targetGroupPort = targetGroup.Port;
  }),
  new ScenarioOutput(
    "createdLoadBalancerTargetGroup",
    MESSAGES.createdLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    ),
  ),
  new ScenarioOutput(
    "creatingLoadBalancer",
    MESSAGES.creatingLoadBalancer.replace("${LB_NAME}", NAMES.loadBalancerName),
  ),
  new ScenarioAction("createLoadBalancer", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { LoadBalancers } = await client.send(
      new CreateLoadBalancerCommand({
        Name: NAMES.loadBalancerName,
        Subnets: state.subnets,
      }),
    );
    state.loadBalancerDns = LoadBalancers[0].DNSName;
    state.loadBalancerArn = LoadBalancers[0].LoadBalancerArn;
    await waitUntilLoadBalancerAvailable(
      { client },
      { Names: [NAMES.loadBalancerName] },
    );
  }),
  new ScenarioOutput("createdLoadBalancer", (state) =>
    MESSAGES.createdLoadBalancer
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioOutput(
    "creatingListener",
    MESSAGES.creatingLoadBalancerListener
      .replace("${LB_NAME}", NAMES.loadBalancerName)
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName),
  ),
  new ScenarioAction("createListener", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    const { Listeners } = await client.send(
      new CreateListenerCommand({
        LoadBalancerArn: state.loadBalancerArn,
        Protocol: state.targetGroupProtocol,
        Port: state.targetGroupPort,
        DefaultActions: [
          { Type: "forward", TargetGroupArn: state.targetGroupArn },
        ],
      }),
    );
    const listener = Listeners[0];
    state.loadBalancerListenerArn = listener.ListenerArn;
  }),
  new ScenarioOutput("createdListener", (state) =>
    MESSAGES.createdLoadBalancerListener.replace(
      "${LB_LISTENER_ARN}",
      state.loadBalancerListenerArn,
    ),
  ),
  new ScenarioOutput(
    "attachingLoadBalancerTargetGroup",
    MESSAGES.attachingLoadBalancerTargetGroup
      .replace("${TARGET_GROUP_NAME}", NAMES.loadBalancerTargetGroupName)
      .replace("${AUTO_SCALING_GROUP_NAME}", NAMES.autoScalingGroupName),
  ),
  new ScenarioAction("attachLoadBalancerTargetGroup", async (state) => {
    const client = new AutoScalingClient({});
    await client.send(
      new AttachLoadBalancerTargetGroupsCommand({
        AutoScalingGroupName: NAMES.autoScalingGroupName,
        TargetGroupARNs: [state.targetGroupArn],
      }),
    );
  }),
  new ScenarioOutput(
    "attachedLoadBalancerTargetGroup",
    MESSAGES.attachedLoadBalancerTargetGroup,
  ),
  new ScenarioOutput("verifyingInboundPort", MESSAGES.verifyingInboundPort),
  new ScenarioAction(
    "verifyInboundPort",
    /**
     *
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup}} state
     */
    async (state) => {
      const client = new EC2Client({});
      const { SecurityGroups } = await client.send(
        new DescribeSecurityGroupsCommand({
          Filters: [{ Name: "group-name", Values: ["default"] }],
        }),
      );
      if (!SecurityGroups) {
        state.verifyInboundPortError = new Error(MESSAGES.noSecurityGroups);
      }
      state.defaultSecurityGroup = SecurityGroups[0];

      /**
       * @type {string}
       */
      const ipResponse = (await axios.get("http://checkip.amazonaws.com")).data;
      state.myIp = ipResponse.trim();
      const myIpRules = state.defaultSecurityGroup.IpPermissions.filter(
        ({ IpRanges }) =>
          IpRanges.some(
            ({ CidrIp }) =>
              CidrIp.startsWith(state.myIp) || CidrIp === "0.0.0.0/0",
          ),
      )
        .filter(({ IpProtocol }) => IpProtocol === "tcp")
        .filter(({ FromPort }) => FromPort === 80);

      state.myIpRules = myIpRules;
    },
  ),
  new ScenarioOutput(
    "verifiedInboundPort",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return MESSAGES.foundIpRules.replace(
          "${IP_RULES}",
          JSON.stringify(state.myIpRules, null, 2),
        );
      }
      return MESSAGES.noIpRules;
    },
  ),
  new ScenarioInput(
    "shouldAddInboundRule",
    /**
     * @param {{ myIpRules: any[] }} state
     */
    (state) => {
      if (state.myIpRules.length > 0) {
        return false;
      }
      return MESSAGES.noIpRules;
    },
    { type: "confirm" },
  ),
  new ScenarioAction(
    "addInboundRule",
    /**
     * @param {{ defaultSecurityGroup: import('@aws-sdk/client-ec2').SecurityGroup }} state
     */
    async (state) => {
      if (!state.shouldAddInboundRule) {
        return;
      }

      const client = new EC2Client({});
      await client.send(
        new AuthorizeSecurityGroupIngressCommand({
          GroupId: state.defaultSecurityGroup.GroupId,
          CidrIp: `${state.myIp}/32`,
          FromPort: 80,
          ToPort: 80,
          IpProtocol: "tcp",
        }),
      );
    },
  ),
  new ScenarioOutput("addedInboundRule", (state) => {
    if (state.shouldAddInboundRule) {
      return MESSAGES.addedInboundRule.replace("${IP_ADDRESS}", state.myIp);
    }
    return false;
  }),
  new ScenarioOutput("verifyingEndpoint", (state) =>
    MESSAGES.verifyingEndpoint.replace("${DNS_NAME}", state.loadBalancerDns),
  ),
  new ScenarioAction("verifyEndpoint", async (state) => {
    try {
      const response = await retry({ intervalInMs: 2000, maxRetries: 30 }, () =>
        axios.get(`http://${state.loadBalancerDns}`),
      );
      state.endpointResponse = JSON.stringify(response.data, null, 2);
    } catch (e) {
      state.verifyEndpointError = e;
    }
  }),
  new ScenarioOutput("verifiedEndpoint", (state) => {
    if (state.verifyEndpointError) {
      console.error(state.verifyEndpointError);
    } else {
      return MESSAGES.verifiedEndpoint.replace(
        "${ENDPOINT_RESPONSE}",
        state.endpointResponse,
      );
    }
  }),
  saveState,
];
```
建立步驟以執行示範。  

```
import { readFileSync } from "node:fs";
import { join } from "node:path";

import axios from "axios";

import {
  DescribeTargetGroupsCommand,
  DescribeTargetHealthCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";
import {
  DescribeInstanceInformationCommand,
  PutParameterCommand,
  SSMClient,
  SendCommandCommand,
} from "@aws-sdk/client-ssm";
import {
  IAMClient,
  CreatePolicyCommand,
  CreateRoleCommand,
  AttachRolePolicyCommand,
  CreateInstanceProfileCommand,
  AddRoleToInstanceProfileCommand,
  waitUntilInstanceProfileExists,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DescribeAutoScalingGroupsCommand,
  TerminateInstanceInAutoScalingGroupCommand,
} from "@aws-sdk/client-auto-scaling";
import {
  DescribeIamInstanceProfileAssociationsCommand,
  EC2Client,
  RebootInstancesCommand,
  ReplaceIamInstanceProfileAssociationCommand,
} from "@aws-sdk/client-ec2";

import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES, RESOURCES_PATH } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

const getRecommendation = new ScenarioAction(
  "getRecommendation",
  async (state) => {
    const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
    if (loadBalancer) {
      state.loadBalancerDnsName = loadBalancer.DNSName;
      try {
        state.recommendation = (
          await axios.get(`http://${state.loadBalancerDnsName}`)
        ).data;
      } catch (e) {
        state.recommendation = e instanceof Error ? e.message : e;
      }
    } else {
      throw new Error(MESSAGES.demoFindLoadBalancerError);
    }
  },
);

const getRecommendationResult = new ScenarioOutput(
  "getRecommendationResult",
  (state) =>
    `Recommendation:\n${JSON.stringify(state.recommendation, null, 2)}`,
  { preformatted: true },
);

const getHealthCheck = new ScenarioAction("getHealthCheck", async (state) => {
  const client = new ElasticLoadBalancingV2Client({});
  const { TargetGroups } = await client.send(
    new DescribeTargetGroupsCommand({
      Names: [NAMES.loadBalancerTargetGroupName],
    }),
  );

  const { TargetHealthDescriptions } = await client.send(
    new DescribeTargetHealthCommand({
      TargetGroupArn: TargetGroups[0].TargetGroupArn,
    }),
  );
  state.targetHealthDescriptions = TargetHealthDescriptions;
});

const getHealthCheckResult = new ScenarioOutput(
  "getHealthCheckResult",
  /**
   * @param {{ targetHealthDescriptions: import('@aws-sdk/client-elastic-load-balancing-v2').TargetHealthDescription[]}} state
   */
  (state) => {
    const status = state.targetHealthDescriptions
      .map((th) => `${th.Target.Id}: ${th.TargetHealth.State}`)
      .join("\n");
    return `Health check:\n${status}`;
  },
  { preformatted: true },
);

const loadBalancerLoop = new ScenarioAction(
  "loadBalancerLoop",
  getRecommendation.action,
  {
    whileConfig: {
      whileFn: ({ loadBalancerCheck }) => loadBalancerCheck,
      input: new ScenarioInput(
        "loadBalancerCheck",
        MESSAGES.demoLoadBalancerCheck,
        {
          type: "confirm",
        },
      ),
      output: getRecommendationResult,
    },
  },
);

const healthCheckLoop = new ScenarioAction(
  "healthCheckLoop",
  getHealthCheck.action,
  {
    whileConfig: {
      whileFn: ({ healthCheck }) => healthCheck,
      input: new ScenarioInput("healthCheck", MESSAGES.demoHealthCheck, {
        type: "confirm",
      }),
      output: getHealthCheckResult,
    },
  },
);

const statusSteps = [
  getRecommendation,
  getRecommendationResult,
  getHealthCheck,
  getHealthCheckResult,
];

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const demoSteps = [
  new ScenarioOutput("header", MESSAGES.demoHeader, { header: true }),
  new ScenarioOutput("sanityCheck", MESSAGES.demoSanityCheck),
  ...statusSteps,
  new ScenarioInput(
    "brokenDependencyConfirmation",
    MESSAGES.demoBrokenDependencyConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("brokenDependency", async (state) => {
    if (!state.brokenDependencyConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      state.badTableName = `fake-table-${Date.now()}`;
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmTableNameKey,
          Value: state.badTableName,
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testBrokenDependency", (state) =>
    MESSAGES.demoTestBrokenDependency.replace(
      "${TABLE_NAME}",
      state.badTableName,
    ),
  ),
  ...statusSteps,
  new ScenarioInput(
    "staticResponseConfirmation",
    MESSAGES.demoStaticResponseConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("staticResponse", async (state) => {
    if (!state.staticResponseConfirmation) {
      process.exit();
    } else {
      const client = new SSMClient({});
      await client.send(
        new PutParameterCommand({
          Name: NAMES.ssmFailureResponseKey,
          Value: "static",
          Overwrite: true,
          Type: "String",
        }),
      );
    }
  }),
  new ScenarioOutput("testStaticResponse", MESSAGES.demoTestStaticResponse),
  ...statusSteps,
  new ScenarioInput(
    "badCredentialsConfirmation",
    MESSAGES.demoBadCredentialsConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("badCredentialsExit", (state) => {
    if (!state.badCredentialsConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("fixDynamoDBName", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioAction(
    "badCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-auto-scaling').Instance }} state
     */
    async (state) => {
      await createSsmOnlyInstanceProfile();
      const autoScalingClient = new AutoScalingClient({});
      const { AutoScalingGroups } = await autoScalingClient.send(
        new DescribeAutoScalingGroupsCommand({
          AutoScalingGroupNames: [NAMES.autoScalingGroupName],
        }),
      );
      state.targetInstance = AutoScalingGroups[0].Instances[0];
      const ec2Client = new EC2Client({});
      const { IamInstanceProfileAssociations } = await ec2Client.send(
        new DescribeIamInstanceProfileAssociationsCommand({
          Filters: [
            { Name: "instance-id", Values: [state.targetInstance.InstanceId] },
          ],
        }),
      );
      state.instanceProfileAssociationId =
        IamInstanceProfileAssociations[0].AssociationId;
      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        ec2Client.send(
          new ReplaceIamInstanceProfileAssociationCommand({
            AssociationId: state.instanceProfileAssociationId,
            IamInstanceProfile: { Name: NAMES.ssmOnlyInstanceProfileName },
          }),
        ),
      );

      await ec2Client.send(
        new RebootInstancesCommand({
          InstanceIds: [state.targetInstance.InstanceId],
        }),
      );

      const ssmClient = new SSMClient({});
      await retry({ intervalInMs: 20000, maxRetries: 15 }, async () => {
        const { InstanceInformationList } = await ssmClient.send(
          new DescribeInstanceInformationCommand({}),
        );

        const instance = InstanceInformationList.find(
          (info) => info.InstanceId === state.targetInstance.InstanceId,
        );

        if (!instance) {
          throw new Error("Instance not found.");
        }
      });

      await ssmClient.send(
        new SendCommandCommand({
          InstanceIds: [state.targetInstance.InstanceId],
          DocumentName: "AWS-RunShellScript",
          Parameters: { commands: ["cd / && sudo python3 server.py 80"] },
        }),
      );
    },
  ),
  new ScenarioOutput(
    "testBadCredentials",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation}} state
     */
    (state) =>
      MESSAGES.demoTestBadCredentials.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
  ),
  loadBalancerLoop,
  new ScenarioInput(
    "deepHealthCheckConfirmation",
    MESSAGES.demoDeepHealthCheckConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("deepHealthCheckExit", (state) => {
    if (!state.deepHealthCheckConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("deepHealthCheck", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmHealthCheckKey,
        Value: "deep",
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testDeepHealthCheck", MESSAGES.demoTestDeepHealthCheck),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "killInstanceConfirmation",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    (state) =>
      MESSAGES.demoKillInstanceConfirmation.replace(
        "${INSTANCE_ID}",
        state.targetInstance.InstanceId,
      ),
    { type: "confirm" },
  ),
  new ScenarioAction("killInstanceExit", (state) => {
    if (!state.killInstanceConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction(
    "killInstance",
    /**
     * @param {{ targetInstance: import('@aws-sdk/client-ssm').InstanceInformation }} state
     */
    async (state) => {
      const client = new AutoScalingClient({});
      await client.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: state.targetInstance.InstanceId,
          ShouldDecrementDesiredCapacity: false,
        }),
      );
    },
  ),
  new ScenarioOutput("testKillInstance", MESSAGES.demoTestKillInstance),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput("failOpenConfirmation", MESSAGES.demoFailOpenConfirmation, {
    type: "confirm",
  }),
  new ScenarioAction("failOpenExit", (state) => {
    if (!state.failOpenConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("failOpen", () => {
    const client = new SSMClient({});
    return client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: `fake-table-${Date.now()}`,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testFailOpen", MESSAGES.demoFailOpenTest),
  healthCheckLoop,
  loadBalancerLoop,
  new ScenarioInput(
    "resetTableConfirmation",
    MESSAGES.demoResetTableConfirmation,
    { type: "confirm" },
  ),
  new ScenarioAction("resetTableExit", (state) => {
    if (!state.resetTableConfirmation) {
      process.exit();
    }
  }),
  new ScenarioAction("resetTable", async () => {
    const client = new SSMClient({});
    await client.send(
      new PutParameterCommand({
        Name: NAMES.ssmTableNameKey,
        Value: NAMES.tableName,
        Overwrite: true,
        Type: "String",
      }),
    );
  }),
  new ScenarioOutput("testResetTable", MESSAGES.demoTestResetTable),
  healthCheckLoop,
  loadBalancerLoop,
];

async function createSsmOnlyInstanceProfile() {
  const iamClient = new IAMClient({});
  const { Policy } = await iamClient.send(
    new CreatePolicyCommand({
      PolicyName: NAMES.ssmOnlyPolicyName,
      PolicyDocument: readFileSync(
        join(RESOURCES_PATH, "ssm_only_policy.json"),
      ),
    }),
  );
  await iamClient.send(
    new CreateRoleCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      AssumeRolePolicyDocument: JSON.stringify({
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Principal: { Service: "ec2.amazonaws.com" },
            Action: "sts:AssumeRole",
          },
        ],
      }),
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: Policy.Arn,
    }),
  );
  await iamClient.send(
    new AttachRolePolicyCommand({
      RoleName: NAMES.ssmOnlyRoleName,
      PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
    }),
  );
  const { InstanceProfile } = await iamClient.send(
    new CreateInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
    }),
  );
  await waitUntilInstanceProfileExists(
    { client: iamClient },
    { InstanceProfileName: NAMES.ssmOnlyInstanceProfileName },
  );
  await iamClient.send(
    new AddRoleToInstanceProfileCommand({
      InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
      RoleName: NAMES.ssmOnlyRoleName,
    }),
  );

  return InstanceProfile;
}
```
建立步驟以銷毀所有資源。  

```
import { unlinkSync } from "node:fs";

import { DynamoDBClient, DeleteTableCommand } from "@aws-sdk/client-dynamodb";
import {
  EC2Client,
  DeleteKeyPairCommand,
  DeleteLaunchTemplateCommand,
  RevokeSecurityGroupIngressCommand,
} from "@aws-sdk/client-ec2";
import {
  IAMClient,
  DeleteInstanceProfileCommand,
  RemoveRoleFromInstanceProfileCommand,
  DeletePolicyCommand,
  DeleteRoleCommand,
  DetachRolePolicyCommand,
  paginateListPolicies,
} from "@aws-sdk/client-iam";
import {
  AutoScalingClient,
  DeleteAutoScalingGroupCommand,
  TerminateInstanceInAutoScalingGroupCommand,
  UpdateAutoScalingGroupCommand,
  paginateDescribeAutoScalingGroups,
} from "@aws-sdk/client-auto-scaling";
import {
  DeleteLoadBalancerCommand,
  DeleteTargetGroupCommand,
  DescribeTargetGroupsCommand,
  ElasticLoadBalancingV2Client,
} from "@aws-sdk/client-elastic-load-balancing-v2";

import {
  ScenarioOutput,
  ScenarioInput,
  ScenarioAction,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { loadState } from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

import { MESSAGES, NAMES } from "./constants.js";
import { findLoadBalancer } from "./shared.js";

/**
 * @type {import('@aws-doc-sdk-examples/lib/scenario.js').Step[]}
 */
export const destroySteps = [
  loadState,
  new ScenarioInput("destroy", MESSAGES.destroy, { type: "confirm" }),
  new ScenarioAction(
    "abort",
    (state) => state.destroy === false && process.exit(),
  ),
  new ScenarioAction("deleteTable", async (c) => {
    try {
      const client = new DynamoDBClient({});
      await client.send(new DeleteTableCommand({ TableName: NAMES.tableName }));
    } catch (e) {
      c.deleteTableError = e;
    }
  }),
  new ScenarioOutput("deleteTableResult", (state) => {
    if (state.deleteTableError) {
      console.error(state.deleteTableError);
      return MESSAGES.deleteTableError.replace(
        "${TABLE_NAME}",
        NAMES.tableName,
      );
    }
    return MESSAGES.deletedTable.replace("${TABLE_NAME}", NAMES.tableName);
  }),
  new ScenarioAction("deleteKeyPair", async (state) => {
    try {
      const client = new EC2Client({});
      await client.send(
        new DeleteKeyPairCommand({ KeyName: NAMES.keyPairName }),
      );
      unlinkSync(`${NAMES.keyPairName}.pem`);
    } catch (e) {
      state.deleteKeyPairError = e;
    }
  }),
  new ScenarioOutput("deleteKeyPairResult", (state) => {
    if (state.deleteKeyPairError) {
      console.error(state.deleteKeyPairError);
      return MESSAGES.deleteKeyPairError.replace(
        "${KEY_PAIR_NAME}",
        NAMES.keyPairName,
      );
    }
    return MESSAGES.deletedKeyPair.replace(
      "${KEY_PAIR_NAME}",
      NAMES.keyPairName,
    );
  }),
  new ScenarioAction("detachPolicyFromRole", async (state) => {
    try {
      const client = new IAMClient({});
      const policy = await findPolicy(NAMES.instancePolicyName);

      if (!policy) {
        state.detachPolicyFromRoleError = new Error(
          `Policy ${NAMES.instancePolicyName} not found.`,
        );
      } else {
        await client.send(
          new DetachRolePolicyCommand({
            RoleName: NAMES.instanceRoleName,
            PolicyArn: policy.Arn,
          }),
        );
      }
    } catch (e) {
      state.detachPolicyFromRoleError = e;
    }
  }),
  new ScenarioOutput("detachedPolicyFromRole", (state) => {
    if (state.detachPolicyFromRoleError) {
      console.error(state.detachPolicyFromRoleError);
      return MESSAGES.detachPolicyFromRoleError
        .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.detachedPolicyFromRole
      .replace("${INSTANCE_POLICY_NAME}", NAMES.instancePolicyName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstancePolicy", async (state) => {
    const client = new IAMClient({});
    const policy = await findPolicy(NAMES.instancePolicyName);

    if (!policy) {
      state.deletePolicyError = new Error(
        `Policy ${NAMES.instancePolicyName} not found.`,
      );
    } else {
      return client.send(
        new DeletePolicyCommand({
          PolicyArn: policy.Arn,
        }),
      );
    }
  }),
  new ScenarioOutput("deletePolicyResult", (state) => {
    if (state.deletePolicyError) {
      console.error(state.deletePolicyError);
      return MESSAGES.deletePolicyError.replace(
        "${INSTANCE_POLICY_NAME}",
        NAMES.instancePolicyName,
      );
    }
    return MESSAGES.deletedPolicy.replace(
      "${INSTANCE_POLICY_NAME}",
      NAMES.instancePolicyName,
    );
  }),
  new ScenarioAction("removeRoleFromInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          RoleName: NAMES.instanceRoleName,
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.removeRoleFromInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("removeRoleFromInstanceProfileResult", (state) => {
    if (state.removeRoleFromInstanceProfile) {
      console.error(state.removeRoleFromInstanceProfileError);
      return MESSAGES.removeRoleFromInstanceProfileError
        .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
        .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
    }
    return MESSAGES.removedRoleFromInstanceProfile
      .replace("${INSTANCE_PROFILE_NAME}", NAMES.instanceProfileName)
      .replace("${INSTANCE_ROLE_NAME}", NAMES.instanceRoleName);
  }),
  new ScenarioAction("deleteInstanceRole", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteRoleCommand({
          RoleName: NAMES.instanceRoleName,
        }),
      );
    } catch (e) {
      state.deleteInstanceRoleError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceRoleResult", (state) => {
    if (state.deleteInstanceRoleError) {
      console.error(state.deleteInstanceRoleError);
      return MESSAGES.deleteInstanceRoleError.replace(
        "${INSTANCE_ROLE_NAME}",
        NAMES.instanceRoleName,
      );
    }
    return MESSAGES.deletedInstanceRole.replace(
      "${INSTANCE_ROLE_NAME}",
      NAMES.instanceRoleName,
    );
  }),
  new ScenarioAction("deleteInstanceProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.instanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteInstanceProfileResult", (state) => {
    if (state.deleteInstanceProfileError) {
      console.error(state.deleteInstanceProfileError);
      return MESSAGES.deleteInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.instanceProfileName,
      );
    }
    return MESSAGES.deletedInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.instanceProfileName,
    );
  }),
  new ScenarioAction("deleteAutoScalingGroup", async (state) => {
    try {
      await terminateGroupInstances(NAMES.autoScalingGroupName);
      await retry({ intervalInMs: 60000, maxRetries: 60 }, async () => {
        await deleteAutoScalingGroup(NAMES.autoScalingGroupName);
      });
    } catch (e) {
      state.deleteAutoScalingGroupError = e;
    }
  }),
  new ScenarioOutput("deleteAutoScalingGroupResult", (state) => {
    if (state.deleteAutoScalingGroupError) {
      console.error(state.deleteAutoScalingGroupError);
      return MESSAGES.deleteAutoScalingGroupError.replace(
        "${AUTO_SCALING_GROUP_NAME}",
        NAMES.autoScalingGroupName,
      );
    }
    return MESSAGES.deletedAutoScalingGroup.replace(
      "${AUTO_SCALING_GROUP_NAME}",
      NAMES.autoScalingGroupName,
    );
  }),
  new ScenarioAction("deleteLaunchTemplate", async (state) => {
    const client = new EC2Client({});
    try {
      await client.send(
        new DeleteLaunchTemplateCommand({
          LaunchTemplateName: NAMES.launchTemplateName,
        }),
      );
    } catch (e) {
      state.deleteLaunchTemplateError = e;
    }
  }),
  new ScenarioOutput("deleteLaunchTemplateResult", (state) => {
    if (state.deleteLaunchTemplateError) {
      console.error(state.deleteLaunchTemplateError);
      return MESSAGES.deleteLaunchTemplateError.replace(
        "${LAUNCH_TEMPLATE_NAME}",
        NAMES.launchTemplateName,
      );
    }
    return MESSAGES.deletedLaunchTemplate.replace(
      "${LAUNCH_TEMPLATE_NAME}",
      NAMES.launchTemplateName,
    );
  }),
  new ScenarioAction("deleteLoadBalancer", async (state) => {
    try {
      const client = new ElasticLoadBalancingV2Client({});
      const loadBalancer = await findLoadBalancer(NAMES.loadBalancerName);
      await client.send(
        new DeleteLoadBalancerCommand({
          LoadBalancerArn: loadBalancer.LoadBalancerArn,
        }),
      );
      await retry({ intervalInMs: 1000, maxRetries: 60 }, async () => {
        const lb = await findLoadBalancer(NAMES.loadBalancerName);
        if (lb) {
          throw new Error("Load balancer still exists.");
        }
      });
    } catch (e) {
      state.deleteLoadBalancerError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerResult", (state) => {
    if (state.deleteLoadBalancerError) {
      console.error(state.deleteLoadBalancerError);
      return MESSAGES.deleteLoadBalancerError.replace(
        "${LB_NAME}",
        NAMES.loadBalancerName,
      );
    }
    return MESSAGES.deletedLoadBalancer.replace(
      "${LB_NAME}",
      NAMES.loadBalancerName,
    );
  }),
  new ScenarioAction("deleteLoadBalancerTargetGroup", async (state) => {
    const client = new ElasticLoadBalancingV2Client({});
    try {
      const { TargetGroups } = await client.send(
        new DescribeTargetGroupsCommand({
          Names: [NAMES.loadBalancerTargetGroupName],
        }),
      );

      await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
        client.send(
          new DeleteTargetGroupCommand({
            TargetGroupArn: TargetGroups[0].TargetGroupArn,
          }),
        ),
      );
    } catch (e) {
      state.deleteLoadBalancerTargetGroupError = e;
    }
  }),
  new ScenarioOutput("deleteLoadBalancerTargetGroupResult", (state) => {
    if (state.deleteLoadBalancerTargetGroupError) {
      console.error(state.deleteLoadBalancerTargetGroupError);
      return MESSAGES.deleteLoadBalancerTargetGroupError.replace(
        "${TARGET_GROUP_NAME}",
        NAMES.loadBalancerTargetGroupName,
      );
    }
    return MESSAGES.deletedLoadBalancerTargetGroup.replace(
      "${TARGET_GROUP_NAME}",
      NAMES.loadBalancerTargetGroupName,
    );
  }),
  new ScenarioAction("detachSsmOnlyRoleFromProfile", async (state) => {
    try {
      const client = new IAMClient({});
      await client.send(
        new RemoveRoleFromInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyRoleFromProfileError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyRoleFromProfileResult", (state) => {
    if (state.detachSsmOnlyRoleFromProfileError) {
      console.error(state.detachSsmOnlyRoleFromProfileError);
      return MESSAGES.detachSsmOnlyRoleFromProfileError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
    }
    return MESSAGES.detachedSsmOnlyRoleFromProfile
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${PROFILE_NAME}", NAMES.ssmOnlyInstanceProfileName);
  }),
  new ScenarioAction("detachSsmOnlyCustomRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.detachSsmOnlyCustomRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyCustomRolePolicyResult", (state) => {
    if (state.detachSsmOnlyCustomRolePolicyError) {
      console.error(state.detachSsmOnlyCustomRolePolicyError);
      return MESSAGES.detachSsmOnlyCustomRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
    }
    return MESSAGES.detachedSsmOnlyCustomRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", NAMES.ssmOnlyPolicyName);
  }),
  new ScenarioAction("detachSsmOnlyAWSRolePolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: NAMES.ssmOnlyRoleName,
          PolicyArn: "arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore",
        }),
      );
    } catch (e) {
      state.detachSsmOnlyAWSRolePolicyError = e;
    }
  }),
  new ScenarioOutput("detachSsmOnlyAWSRolePolicyResult", (state) => {
    if (state.detachSsmOnlyAWSRolePolicyError) {
      console.error(state.detachSsmOnlyAWSRolePolicyError);
      return MESSAGES.detachSsmOnlyAWSRolePolicyError
        .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
        .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
    }
    return MESSAGES.detachedSsmOnlyAWSRolePolicy
      .replace("${ROLE_NAME}", NAMES.ssmOnlyRoleName)
      .replace("${POLICY_NAME}", "AmazonSSMManagedInstanceCore");
  }),
  new ScenarioAction("deleteSsmOnlyInstanceProfile", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteInstanceProfileCommand({
          InstanceProfileName: NAMES.ssmOnlyInstanceProfileName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyInstanceProfileError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyInstanceProfileResult", (state) => {
    if (state.deleteSsmOnlyInstanceProfileError) {
      console.error(state.deleteSsmOnlyInstanceProfileError);
      return MESSAGES.deleteSsmOnlyInstanceProfileError.replace(
        "${INSTANCE_PROFILE_NAME}",
        NAMES.ssmOnlyInstanceProfileName,
      );
    }
    return MESSAGES.deletedSsmOnlyInstanceProfile.replace(
      "${INSTANCE_PROFILE_NAME}",
      NAMES.ssmOnlyInstanceProfileName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyPolicy", async (state) => {
    try {
      const iamClient = new IAMClient({});
      const ssmOnlyPolicy = await findPolicy(NAMES.ssmOnlyPolicyName);
      await iamClient.send(
        new DeletePolicyCommand({
          PolicyArn: ssmOnlyPolicy.Arn,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyPolicyError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyPolicyResult", (state) => {
    if (state.deleteSsmOnlyPolicyError) {
      console.error(state.deleteSsmOnlyPolicyError);
      return MESSAGES.deleteSsmOnlyPolicyError.replace(
        "${POLICY_NAME}",
        NAMES.ssmOnlyPolicyName,
      );
    }
    return MESSAGES.deletedSsmOnlyPolicy.replace(
      "${POLICY_NAME}",
      NAMES.ssmOnlyPolicyName,
    );
  }),
  new ScenarioAction("deleteSsmOnlyRole", async (state) => {
    try {
      const iamClient = new IAMClient({});
      await iamClient.send(
        new DeleteRoleCommand({
          RoleName: NAMES.ssmOnlyRoleName,
        }),
      );
    } catch (e) {
      state.deleteSsmOnlyRoleError = e;
    }
  }),
  new ScenarioOutput("deleteSsmOnlyRoleResult", (state) => {
    if (state.deleteSsmOnlyRoleError) {
      console.error(state.deleteSsmOnlyRoleError);
      return MESSAGES.deleteSsmOnlyRoleError.replace(
        "${ROLE_NAME}",
        NAMES.ssmOnlyRoleName,
      );
    }
    return MESSAGES.deletedSsmOnlyRole.replace(
      "${ROLE_NAME}",
      NAMES.ssmOnlyRoleName,
    );
  }),
  new ScenarioAction(
    "revokeSecurityGroupIngress",
    async (
      /** @type {{ myIp: string, defaultSecurityGroup: { GroupId: string } }} */ state,
    ) => {
      const ec2Client = new EC2Client({});

      try {
        await ec2Client.send(
          new RevokeSecurityGroupIngressCommand({
            GroupId: state.defaultSecurityGroup.GroupId,
            CidrIp: `${state.myIp}/32`,
            FromPort: 80,
            ToPort: 80,
            IpProtocol: "tcp",
          }),
        );
      } catch (e) {
        state.revokeSecurityGroupIngressError = e;
      }
    },
  ),
  new ScenarioOutput("revokeSecurityGroupIngressResult", (state) => {
    if (state.revokeSecurityGroupIngressError) {
      console.error(state.revokeSecurityGroupIngressError);
      return MESSAGES.revokeSecurityGroupIngressError.replace(
        "${IP}",
        state.myIp,
      );
    }
    return MESSAGES.revokedSecurityGroupIngress.replace("${IP}", state.myIp);
  }),
];

/**
 * @param {string} policyName
 */
async function findPolicy(policyName) {
  const client = new IAMClient({});
  const paginatedPolicies = paginateListPolicies({ client }, {});
  for await (const page of paginatedPolicies) {
    const policy = page.Policies.find((p) => p.PolicyName === policyName);
    if (policy) {
      return policy;
    }
  }
}

/**
 * @param {string} groupName
 */
async function deleteAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  try {
    await client.send(
      new DeleteAutoScalingGroupCommand({
        AutoScalingGroupName: groupName,
      }),
    );
  } catch (err) {
    if (!(err instanceof Error)) {
      throw err;
    }
    console.log(err.name);
    throw err;
  }
}

/**
 * @param {string} groupName
 */
async function terminateGroupInstances(groupName) {
  const autoScalingClient = new AutoScalingClient({});
  const group = await findAutoScalingGroup(groupName);
  await autoScalingClient.send(
    new UpdateAutoScalingGroupCommand({
      AutoScalingGroupName: group.AutoScalingGroupName,
      MinSize: 0,
    }),
  );
  for (const i of group.Instances) {
    await retry({ intervalInMs: 1000, maxRetries: 30 }, () =>
      autoScalingClient.send(
        new TerminateInstanceInAutoScalingGroupCommand({
          InstanceId: i.InstanceId,
          ShouldDecrementDesiredCapacity: true,
        }),
      ),
    );
  }
}

async function findAutoScalingGroup(groupName) {
  const client = new AutoScalingClient({});
  const paginatedGroups = paginateDescribeAutoScalingGroups({ client }, {});
  for await (const page of paginatedGroups) {
    const group = page.AutoScalingGroups.find(
      (g) => g.AutoScalingGroupName === groupName,
    );
    if (group) {
      return group;
    }
  }
  throw new Error(`Auto scaling group ${groupName} not found.`);
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [AttachLoadBalancerTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/AttachLoadBalancerTargetGroupsCommand)
  + [CreateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/CreateAutoScalingGroupCommand)
  + [CreateInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/CreateInstanceProfileCommand)
  + [CreateLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/CreateLaunchTemplateCommand)
  + [CreateListener](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateListenerCommand)
  + [CreateLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateLoadBalancerCommand)
  + [CreateTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/CreateTargetGroupCommand)
  + [DeleteAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DeleteAutoScalingGroupCommand)
  + [DeleteInstanceProfile](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iam/command/DeleteInstanceProfileCommand)
  + [DeleteLaunchTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DeleteLaunchTemplateCommand)
  + [DeleteLoadBalancer](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteLoadBalancerCommand)
  + [DeleteTargetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DeleteTargetGroupCommand)
  + [DescribeAutoScalingGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/DescribeAutoScalingGroupsCommand)
  + [DescribeAvailabilityZones](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeAvailabilityZonesCommand)
  + [DescribeIamInstanceProfileAssociations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeIamInstanceProfileAssociationsCommand)
  + [DescribeInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeInstancesCommand)
  + [DescribeLoadBalancers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeLoadBalancersCommand)
  + [DescribeSubnets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeSubnetsCommand)
  + [DescribeTargetGroups](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetGroupsCommand)
  + [DescribeTargetHealth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/elastic-load-balancing-v2/command/DescribeTargetHealthCommand)
  + [DescribeVpcs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/DescribeVpcsCommand)
  + [RebootInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/RebootInstancesCommand)
  + [ReplaceIamInstanceProfileAssociation](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ec2/command/ReplaceIamInstanceProfileAssociationCommand)
  + [TerminateInstanceInAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/TerminateInstanceInAutoScalingGroupCommand)
  + [UpdateAutoScalingGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/auto-scaling/command/UpdateAutoScalingGroupCommand)

# AWS IoT SiteWise 使用適用於 JavaScript 的 SDK (v3) 的範例
<a name="javascript_3_iotsitewise_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 來執行動作和實作常見案例 AWS IoT SiteWise。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### 您好 AWS IoT SiteWise
<a name="iotsitewise_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 AWS IoT SiteWise。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  paginateListAssetModels,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";

// Call ListDocuments and display the result.
export const main = async () => {
  const client = new IoTSiteWiseClient();
  const listAssetModelsPaginated = [];
  console.log(
    "Hello, AWS Systems Manager! Let's list some of your documents:\n",
  );
  try {
    // The paginate function is a wrapper around the base command.
    const paginator = paginateListAssetModels({ client }, { maxResults: 5 });
    for await (const page of paginator) {
      listAssetModelsPaginated.push(...page.assetModelSummaries);
    }
  } catch (caught) {
    console.error(`There was a problem saying hello: ${caught.message}`);
    throw caught;
  }
  for (const { name, creationDate } of listAssetModelsPaginated) {
    console.log(`${name} - ${creationDate}`);
  }
};

// Call function if run directly.
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListAssetModels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/ListAssetModelsCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="iotsitewise_Scenario_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立 AWS IoT SiteWise 資產模型。
+ 建立 AWS IoT SiteWise 資產。
+ 擷取屬性 ID 值。
+ 將資料傳送至 AWS IoT SiteWise 資產。
+ 擷取 AWS IoT SiteWise 資產屬性的值。
+ 建立 AWS IoT SiteWise 入口網站。
+ 建立 AWS IoT SiteWise 閘道。
+ 描述 AWS IoT SiteWise 閘道。
+ 刪除 AWS IoT SiteWise 資產。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
  //} from "@aws-doc-sdk-examples/lib/scenario/index.js";
} from "../../libs/scenario/index.js";
import {
  IoTSiteWiseClient,
  CreateAssetModelCommand,
  CreateAssetCommand,
  ListAssetModelPropertiesCommand,
  BatchPutAssetPropertyValueCommand,
  GetAssetPropertyValueCommand,
  CreatePortalCommand,
  DescribePortalCommand,
  CreateGatewayCommand,
  DescribeGatewayCommand,
  DeletePortalCommand,
  DeleteGatewayCommand,
  DeleteAssetCommand,
  DeleteAssetModelCommand,
  DescribeAssetModelCommand,
} from "@aws-sdk/client-iotsitewise";
import {
  CloudFormationClient,
  CreateStackCommand,
  DeleteStackCommand,
  DescribeStacksCommand,
  waitUntilStackExists,
  waitUntilStackCreateComplete,
  waitUntilStackDeleteComplete,
} from "@aws-sdk/client-cloudformation";
import { wait } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";
import { parseArgs } from "node:util";
import { readFileSync } from "node:fs";
import { fileURLToPath } from "node:url";
import { dirname } from "node:path";

const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const stackName = "SiteWiseBasicsStack";

/**
 * @typedef {{
 *   iotSiteWiseClient: import('@aws-sdk/client-iotsitewise').IotSiteWiseClient,
 *   cloudFormationClient: import('@aws-sdk/client-cloudformation').CloudFormationClient,
 *   stackName,
 *   stack,
 *   askToDeleteResources: true,
 *   asset: {assetName: "MyAsset1"},
 *   assetModel: {assetModelName: "MyAssetModel1"},
 *   portal: {portalName: "MyPortal1"},
 *   gateway: {gatewayName: "MyGateway1"},
 *   propertyIds: [],
 *   contactEmail: "user@mydomain.com",
 *   thing: "MyThing1",
 *   sampleData: { temperature: 23.5, humidity: 65.0}
 * }} State
 */

/**
 * Used repeatedly to have the user press enter.
 * @type {ScenarioInput}
 */
const pressEnter = new ScenarioInput("continue", "Press Enter to continue", {
  type: "confirm",
});

const greet = new ScenarioOutput(
  "greet",
  `AWS IoT SiteWise is a fully managed industrial software-as-a-service (SaaS) that makes it easy to collect, store, organize, and monitor data from industrial equipment and processes. It is designed to help industrial and manufacturing organizations collect data from their equipment and processes, and use that data to make informed decisions about their operations.
One of the key features of AWS IoT SiteWise is its ability to connect to a wide range of industrial equipment and systems, including programmable logic controllers (PLCs), sensors, and other industrial devices. It can collect data from these devices and organize it into a unified data model, making it easier to analyze and gain insights from the data. AWS IoT SiteWise also provides tools for visualizing the data, setting up alarms and alerts, and generating reports.
Another key feature of AWS IoT SiteWise is its ability to scale to handle large volumes of data. It can collect and store data from thousands of devices and process millions of data points per second, making it suitable for large-scale industrial operations. Additionally, AWS IoT SiteWise is designed to be secure and compliant, with features like role-based access controls, data encryption, and integration with other AWS services for additional security and compliance features.

Let's get started...`,
  { header: true },
);

const displayBuildCloudFormationStack = new ScenarioOutput(
  "displayBuildCloudFormationStack",
  "This scenario uses AWS CloudFormation to create an IAM role that is required for this scenario. The stack will now be deployed.",
);

const sdkBuildCloudFormationStack = new ScenarioAction(
  "sdkBuildCloudFormationStack",
  async (/** @type {State} */ state) => {
    try {
      const data = readFileSync(
        `${__dirname}/../../../../resources/cfn/iotsitewise_basics/SitewiseRoles-template.yml`,
        "utf8",
      );
      await state.cloudFormationClient.send(
        new CreateStackCommand({
          StackName: stackName,
          TemplateBody: data,
          Capabilities: ["CAPABILITY_IAM"],
        }),
      );
      await waitUntilStackExists(
        { client: state.cloudFormationClient },
        { StackName: stackName },
      );
      await waitUntilStackCreateComplete(
        { client: state.cloudFormationClient },
        { StackName: stackName },
      );
      const stack = await state.cloudFormationClient.send(
        new DescribeStacksCommand({
          StackName: stackName,
        }),
      );
      state.stack = stack.Stacks[0].Outputs[0];
      console.log(`The ARN of the IAM role is ${state.stack.OutputValue}`);
    } catch (caught) {
      console.error(caught.message);
      throw caught;
    }
  },
);

const displayCreateAWSSiteWiseAssetModel = new ScenarioOutput(
  "displayCreateAWSSiteWiseAssetModel",
  `1. Create an AWS SiteWise Asset Model
An AWS IoT SiteWise Asset Model is a way to represent the physical assets, such as equipment, processes, and systems, that exist in an industrial environment. This model provides a structured and hierarchical representation of these assets, allowing users to define the relationships and properties of each asset.
         
This scenario creates two asset model properties: temperature and humidity.`,
);

const sdkCreateAWSSiteWiseAssetModel = new ScenarioAction(
  "sdkCreateAWSSiteWiseAssetModel",
  async (/** @type {State} */ state) => {
    let assetModelResponse;
    try {
      assetModelResponse = await state.iotSiteWiseClient.send(
        new CreateAssetModelCommand({
          assetModelName: state.assetModel.assetModelName,
          assetModelProperties: [
            {
              name: "Temperature",
              dataType: "DOUBLE",
              type: {
                measurement: {},
              },
            },
            {
              name: "Humidity",
              dataType: "DOUBLE",
              type: {
                measurement: {},
              },
            },
          ],
        }),
      );
      state.assetModel.assetModelId = assetModelResponse.assetModelId;
      console.log(
        `Asset Model successfully created. Asset Model ID: ${state.assetModel.assetModelId}`,
      );
    } catch (caught) {
      if (caught.name === "ResourceAlreadyExistsException") {
        console.log(
          `The Asset Model ${state.assetModel.assetModelName} already exists.`,
        );
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayCreateAWSIoTSiteWiseAssetModel = new ScenarioOutput(
  "displayCreateAWSIoTSiteWiseAssetModel",
  `2. Create an AWS IoT SiteWise Asset
The IoT SiteWise model that we just created defines the structure and metadata for your physical assets. Now we create an asset from the asset model.

Let's wait 30 seconds for the asset to be ready.`,
);

const waitThirtySeconds = new ScenarioAction("waitThirtySeconds", async () => {
  await wait(30); // wait 30 seconds
  console.log("Time's up! Let's check the asset's status.");
});

const sdkCreateAWSIoTSiteWiseAssetModel = new ScenarioAction(
  "sdkCreateAWSIoTSiteWiseAssetModel",
  async (/** @type {State} */ state) => {
    try {
      const assetResponse = await state.iotSiteWiseClient.send(
        new CreateAssetCommand({
          assetModelId: state.assetModel.assetModelId,
          assetName: state.asset.assetName,
        }),
      );
      state.asset.assetId = assetResponse.assetId;
      console.log(`Asset created with ID: ${state.asset.assetId}`);
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(
          `The Asset ${state.assetModel.assetModelName} was not found.`,
        );
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayRetrievePropertyId = new ScenarioOutput(
  "displayRetrievePropertyId",
  `3. Retrieve the property ID values

To send data to an asset, we need to get the property ID values. In this scenario, we access the temperature and humidity property ID values.`,
);

const sdkRetrievePropertyId = new ScenarioAction(
  "sdkRetrievePropertyId",
  async (state) => {
    try {
      const retrieveResponse = await state.iotSiteWiseClient.send(
        new ListAssetModelPropertiesCommand({
          assetModelId: state.assetModel.assetModelId,
        }),
      );
      for (const retrieveResponseKey in retrieveResponse.assetModelPropertySummaries) {
        if (
          retrieveResponse.assetModelPropertySummaries[retrieveResponseKey]
            .name === "Humidity"
        ) {
          state.propertyIds.Humidity =
            retrieveResponse.assetModelPropertySummaries[
              retrieveResponseKey
            ].id;
        }
        if (
          retrieveResponse.assetModelPropertySummaries[retrieveResponseKey]
            .name === "Temperature"
        ) {
          state.propertyIds.Temperature =
            retrieveResponse.assetModelPropertySummaries[
              retrieveResponseKey
            ].id;
        }
      }
      console.log(`The Humidity propertyId is ${state.propertyIds.Humidity}`);
      console.log(
        `The Temperature propertyId is ${state.propertyIds.Temperature}`,
      );
    } catch (caught) {
      if (caught.name === "IoTSiteWiseException") {
        console.log(
          `There was a problem retrieving the properties: ${caught.message}`,
        );
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displaySendDataToIoTSiteWiseAsset = new ScenarioOutput(
  "displaySendDataToIoTSiteWiseAsset",
  `4. Send data to an AWS IoT SiteWise Asset

By sending data to an IoT SiteWise Asset, you can aggregate data from multiple sources, normalize the data into a standard format, and store it in a centralized location. This makes it easier to analyze and gain insights from the data.

In this example, we generate sample temperature and humidity data and send it to the AWS IoT SiteWise asset.`,
);

const sdkSendDataToIoTSiteWiseAsset = new ScenarioAction(
  "sdkSendDataToIoTSiteWiseAsset",
  async (state) => {
    try {
      const sendResponse = await state.iotSiteWiseClient.send(
        new BatchPutAssetPropertyValueCommand({
          entries: [
            {
              entryId: "entry-3",
              assetId: state.asset.assetId,
              propertyId: state.propertyIds.Humidity,
              propertyValues: [
                {
                  value: {
                    doubleValue: state.sampleData.humidity,
                  },
                  timestamp: {
                    timeInSeconds: Math.floor(Date.now() / 1000),
                  },
                },
              ],
            },
            {
              entryId: "entry-4",
              assetId: state.asset.assetId,
              propertyId: state.propertyIds.Temperature,
              propertyValues: [
                {
                  value: {
                    doubleValue: state.sampleData.temperature,
                  },
                  timestamp: {
                    timeInSeconds: Math.floor(Date.now() / 1000),
                  },
                },
              ],
            },
          ],
        }),
      );
      console.log("The data was sent successfully.");
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Asset ${state.asset.assetName} was not found.`);
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayRetrieveValueOfIoTSiteWiseAsset = new ScenarioOutput(
  "displayRetrieveValueOfIoTSiteWiseAsset",
  `5. Retrieve the value of the IoT SiteWise Asset property

IoT SiteWise is an AWS service that allows you to collect, process, and analyze industrial data from connected equipment and sensors. One of the key benefits of reading an IoT SiteWise property is the ability to gain valuable insights from your industrial data.`,
);

const sdkRetrieveValueOfIoTSiteWiseAsset = new ScenarioAction(
  "sdkRetrieveValueOfIoTSiteWiseAsset",
  async (/** @type {State} */ state) => {
    try {
      const temperatureResponse = await state.iotSiteWiseClient.send(
        new GetAssetPropertyValueCommand({
          assetId: state.asset.assetId,
          propertyId: state.propertyIds.Temperature,
        }),
      );
      const humidityResponse = await state.iotSiteWiseClient.send(
        new GetAssetPropertyValueCommand({
          assetId: state.asset.assetId,
          propertyId: state.propertyIds.Humidity,
        }),
      );
      console.log(
        `The property value for Temperature is ${temperatureResponse.propertyValue.value.doubleValue}`,
      );
      console.log(
        `The property value for Humidity is ${humidityResponse.propertyValue.value.doubleValue}`,
      );
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Asset ${state.asset.assetName} was not found.`);
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayCreateIoTSiteWisePortal = new ScenarioOutput(
  "displayCreateIoTSiteWisePortal",
  `6. Create an IoT SiteWise Portal

An IoT SiteWise Portal allows you to aggregate data from multiple industrial sources, such as sensors, equipment, and control systems, into a centralized platform.`,
);

const sdkCreateIoTSiteWisePortal = new ScenarioAction(
  "sdkCreateIoTSiteWisePortal",
  async (/** @type {State} */ state) => {
    try {
      const createPortalResponse = await state.iotSiteWiseClient.send(
        new CreatePortalCommand({
          portalName: state.portal.portalName,
          portalContactEmail: state.contactEmail,
          roleArn: state.stack.OutputValue,
        }),
      );
      state.portal = { ...state.portal, ...createPortalResponse };
      await wait(5); // Allow the portal to properly propagate.
      console.log(
        `Portal created successfully. Portal ID ${createPortalResponse.portalId}`,
      );
    } catch (caught) {
      if (caught.name === "IoTSiteWiseException") {
        console.log(
          `There was a problem creating the Portal: ${caught.message}.`,
        );
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayDescribePortal = new ScenarioOutput(
  "displayDescribePortal",
  `7. Describe the Portal

In this step, we get a description of the portal and display the portal URL.`,
);

const sdkDescribePortal = new ScenarioAction(
  "sdkDescribePortal",
  async (/** @type {State} */ state) => {
    try {
      const describePortalResponse = await state.iotSiteWiseClient.send(
        new DescribePortalCommand({
          portalId: state.portal.portalId,
        }),
      );
      console.log(`Portal URL: ${describePortalResponse.portalStartUrl}`);
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Portal ${state.portal.portalName} was not found.`);
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayCreateIoTSiteWiseGateway = new ScenarioOutput(
  "displayCreateIoTSiteWiseGateway",
  `8. Create an IoT SiteWise Gateway

IoT SiteWise Gateway serves as the bridge between industrial equipment, sensors, and the cloud-based IoT SiteWise service. It is responsible for securely collecting, processing, and transmitting data from various industrial assets to the IoT SiteWise platform, enabling real-time monitoring, analysis, and optimization of industrial operations.`,
);

const sdkCreateIoTSiteWiseGateway = new ScenarioAction(
  "sdkCreateIoTSiteWiseGateway",
  async (/** @type {State} */ state) => {
    try {
      const createGatewayResponse = await state.iotSiteWiseClient.send(
        new CreateGatewayCommand({
          gatewayName: state.gateway.gatewayName,
          gatewayPlatform: {
            greengrassV2: {
              coreDeviceThingName: state.thing,
            },
          },
        }),
      );
      console.log(
        `Gateway creation completed successfully. ID is ${createGatewayResponse.gatewayId}`,
      );
      state.gateway.gatewayId = createGatewayResponse.gatewayId;
    } catch (caught) {
      if (caught.name === "IoTSiteWiseException") {
        console.log(
          `There was a problem creating the gateway: ${caught.message}.`,
        );
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const displayDescribeIoTSiteWiseGateway = new ScenarioOutput(
  "displayDescribeIoTSiteWiseGateway",
  "9. Describe the IoT SiteWise Gateway",
);

const sdkDescribeIoTSiteWiseGateway = new ScenarioAction(
  "sdkDescribeIoTSiteWiseGateway",
  async (/** @type {State} */ state) => {
    try {
      const describeGatewayResponse = await state.iotSiteWiseClient.send(
        new DescribeGatewayCommand({
          gatewayId: state.gateway.gatewayId,
        }),
      );
      console.log("Gateway creation completed successfully.");
      console.log(`Gateway Name: ${describeGatewayResponse.gatewayName}`);
      console.log(`Gateway ARN: ${describeGatewayResponse.gatewayArn}`);
      console.log(
        `Gateway Platform: ${Object.keys(describeGatewayResponse.gatewayPlatform)}`,
      );
      console.log(
        `Gateway Creation Date: ${describeGatewayResponse.creationDate}`,
      );
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Gateway ${state.gateway.gatewayId} was not found.`);
        throw caught;
      }
      console.error(`${caught.message}`);
      throw caught;
    }
  },
);

const askToDeleteResources = new ScenarioInput(
  "askToDeleteResources",
  `10. Delete the AWS IoT SiteWise Assets
  
Before you can delete the Asset Model, you must delete the assets.`,
  { type: "confirm" },
);

const displayConfirmDeleteResources = new ScenarioAction(
  "displayConfirmDeleteResources",
  async (/** @type {State} */ state) => {
    if (state.askToDeleteResources) {
      return "You selected to delete the SiteWise assets.";
    }
    return "The resources will not be deleted. Please delete them manually to avoid charges.";
  },
);

const sdkDeleteResources = new ScenarioAction(
  "sdkDeleteResources",
  async (/** @type {State} */ state) => {
    await wait(10); // Give the portal status time to catch up.
    try {
      await state.iotSiteWiseClient.send(
        new DeletePortalCommand({
          portalId: state.portal.portalId,
        }),
      );
      console.log(
        `Portal ${state.portal.portalName} was deleted successfully.`,
      );
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Portal ${state.portal.portalName} was not found.`);
      } else {
        console.log(`When trying to delete the portal: ${caught.message}`);
      }
    }

    try {
      await state.iotSiteWiseClient.send(
        new DeleteGatewayCommand({
          gatewayId: state.gateway.gatewayId,
        }),
      );
      console.log(
        `Gateway ${state.gateway.gatewayName} was deleted successfully.`,
      );
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Gateway ${state.gateway.gatewayId} was not found.`);
      } else {
        console.log(`When trying to delete the gateway: ${caught.message}`);
      }
    }

    try {
      await state.iotSiteWiseClient.send(
        new DeleteAssetCommand({
          assetId: state.asset.assetId,
        }),
      );
      await wait(5); // Allow the delete to finish.
      console.log(`Asset ${state.asset.assetName} was deleted successfully.`);
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(`The Asset ${state.asset.assetName} was not found.`);
      } else {
        console.log(`When deleting the asset: ${caught.message}`);
      }
    }

    await wait(30); // Allow asset deletion to finish.
    try {
      await state.iotSiteWiseClient.send(
        new DeleteAssetModelCommand({
          assetModelId: state.assetModel.assetModelId,
        }),
      );
      console.log(
        `Asset Model ${state.assetModel.assetModelName} was deleted successfully.`,
      );
    } catch (caught) {
      if (caught.name === "ResourceNotFoundException") {
        console.log(
          `The Asset Model ${state.assetModel.assetModelName} was not found.`,
        );
      } else {
        console.log(`When deleting the asset model: ${caught.message}`);
      }
    }

    try {
      await state.cloudFormationClient.send(
        new DeleteStackCommand({
          StackName: stackName,
        }),
      );
      await waitUntilStackDeleteComplete(
        { client: state.cloudFormationClient },
        { StackName: stackName },
      );
      console.log("The stack was deleted successfully.");
    } catch (caught) {
      console.log(
        `${caught.message}. The stack was NOT deleted. Please clean up the resources manually.`,
      );
    }
  },
  { skipWhen: (/** @type {{}} */ state) => !state.askToDeleteResources },
);

const goodbye = new ScenarioOutput(
  "goodbye",
  "This concludes the IoT Sitewise Basics scenario for the AWS Javascript SDK v3. Thank you!",
);

const myScenario = new Scenario(
  "IoTSiteWise Basics",
  [
    greet,
    pressEnter,
    displayBuildCloudFormationStack,
    sdkBuildCloudFormationStack,
    pressEnter,
    displayCreateAWSSiteWiseAssetModel,
    sdkCreateAWSSiteWiseAssetModel,
    displayCreateAWSIoTSiteWiseAssetModel,
    pressEnter,
    waitThirtySeconds,
    sdkCreateAWSIoTSiteWiseAssetModel,
    pressEnter,
    displayRetrievePropertyId,
    sdkRetrievePropertyId,
    pressEnter,
    displaySendDataToIoTSiteWiseAsset,
    sdkSendDataToIoTSiteWiseAsset,
    pressEnter,
    displayRetrieveValueOfIoTSiteWiseAsset,
    sdkRetrieveValueOfIoTSiteWiseAsset,
    pressEnter,
    displayCreateIoTSiteWisePortal,
    sdkCreateIoTSiteWisePortal,
    pressEnter,
    displayDescribePortal,
    sdkDescribePortal,
    pressEnter,
    displayCreateIoTSiteWiseGateway,
    sdkCreateIoTSiteWiseGateway,
    pressEnter,
    displayDescribeIoTSiteWiseGateway,
    sdkDescribeIoTSiteWiseGateway,
    pressEnter,
    askToDeleteResources,
    displayConfirmDeleteResources,
    sdkDeleteResources,
    goodbye,
  ],
  {
    iotSiteWiseClient: new IoTSiteWiseClient({}),
    cloudFormationClient: new CloudFormationClient({}),
    asset: { assetName: "MyAsset1" },
    assetModel: { assetModelName: "MyAssetModel1" },
    portal: { portalName: "MyPortal1" },
    gateway: { gatewayName: "MyGateway1" },
    propertyIds: [],
    contactEmail: "user@mydomain.com",
    thing: "MyThing1",
    sampleData: { temperature: 23.5, humidity: 65.0 },
  },
);

/** @type {{ stepHandlerOptions: StepHandlerOptions }} */
export const main = async (stepHandlerOptions) => {
  await myScenario.run(stepHandlerOptions);
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const { values } = parseArgs({
    options: {
      yes: {
        type: "boolean",
        short: "y",
      },
    },
  });
  main({ confirmAll: values.yes });
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchPutAssetPropertyValue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/BatchPutAssetPropertyValueCommand)
  + [CreateAsset](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/CreateAssetCommand)
  + [CreateAssetModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/CreateAssetModelCommand)
  + [CreateGateway](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/CreateGatewayCommand)
  + [DeleteAsset](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DeleteAssetCommand)
  + [DeleteAssetModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DeleteAssetModelCommand)
  + [DeleteGateway](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DeleteGatewayCommand)
  + [DescribeAssetModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DescribeAssetModelCommand)
  + [DescribeGateway](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DescribeGatewayCommand)
  + [GetAssetPropertyValue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/GetAssetPropertyValueCommand)
  + [ListAssetModelProperties](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/ListAssetModelPropertiesCommand)
  + [ListAssetModels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/ListAssetModelsCommand)

## 動作
<a name="actions"></a>

### `BatchPutAssetPropertyValue`
<a name="iotsitewise_BatchPutAssetPropertyValue_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `BatchPutAssetPropertyValue`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  BatchPutAssetPropertyValueCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Batch put asset property values.
 * @param {{ entries : array }}
 */
export const main = async ({ entries }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new BatchPutAssetPropertyValueCommand({
        entries: entries,
      }),
    );
    console.log("Asset properties batch put successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(`${caught.message}. A resource could not be found.`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [BatchPutAssetPropertyValue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/BatchPutAssetPropertyValueCommand)。

### `CreateAsset`
<a name="iotsitewise_CreateAsset_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateAsset`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  CreateAssetCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Create an Asset.
 * @param {{ assetName : string, assetModelId: string }}
 */
export const main = async ({ assetName, assetModelId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new CreateAssetCommand({
        assetName: assetName, // The name to give the Asset.
        assetModelId: assetModelId, // The ID of the asset model from which to create the asset.
      }),
    );
    console.log("Asset created successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. The asset model could not be found. Please check the asset model id.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateAsset](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/CreateAssetCommand)。

### `CreateAssetModel`
<a name="iotsitewise_CreateAssetModel_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateAssetModel`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  CreateAssetModelCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Create an Asset Model.
 * @param {{ assetName : string, assetModelId: string }}
 */
export const main = async ({ assetModelName, assetModelId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new CreateAssetModelCommand({
        assetModelName: assetModelName, // The name to give the Asset Model.
      }),
    );
    console.log("Asset model created successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "IoTSiteWiseError") {
      console.warn(
        `${caught.message}. There was a problem creating the asset model.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateAssetModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/CreateAssetModelCommand)。

### `CreateGateway`
<a name="iotsitewise_CreateGateway_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateGateway`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  CreateGatewayCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Create a Gateway.
 * @param {{  }}
 */
export const main = async ({ gatewayName }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new CreateGatewayCommand({
        gatewayName: gatewayName, // The name to give the created Gateway.
      }),
    );
    console.log("Gateway created successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "IoTSiteWiseError") {
      console.warn(
        `${caught.message}. There was a problem creating the Gateway.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateGateway](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/CreateGatewayCommand)。

### `DeleteAsset`
<a name="iotsitewise_DeleteAsset_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteAsset`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  DeleteAssetCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Delete an asset.
 * @param {{ assetId : string }}
 */
export const main = async ({ assetId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    await client.send(
      new DeleteAssetCommand({
        assetId: assetId, // The model id to delete.
      }),
    );
    console.log("Asset deleted successfully.");
    return { assetDeleted: true };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. There was a problem deleting the asset.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteAsset](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DeleteAssetCommand)。

### `DeleteAssetModel`
<a name="iotsitewise_DeleteAssetModel_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteAssetModel`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  DeleteAssetModelCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Delete an asset model.
 * @param {{ assetModelId : string }}
 */
export const main = async ({ assetModelId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    await client.send(
      new DeleteAssetModelCommand({
        assetModelId: assetModelId, // The model id to delete.
      }),
    );
    console.log("Asset model deleted successfully.");
    return { assetModelDeleted: true };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. There was a problem deleting the asset model.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteAssetModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DeleteAssetModelCommand)。

### `DeleteGateway`
<a name="iotsitewise_DeleteGateway_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteGateway`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  DeleteGatewayCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Create an SSM document.
 * @param {{ content: string, name: string, documentType?: DocumentType }}
 */
export const main = async ({ gatewayId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    await client.send(
      new DeleteGatewayCommand({
        gatewayId: gatewayId, // The ID of the Gateway to describe.
      }),
    );
    console.log("Gateway deleted successfully.");
    return { gatewayDeleted: true };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. The Gateway could not be found. Please check the Gateway Id.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteGateway](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DeleteGatewayCommand)。

### `DescribeAssetModel`
<a name="iotsitewise_DescribeAssetModel_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeAssetModel`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  DescribeAssetModelCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Describe an asset model.
 * @param {{ assetModelId : string }}
 */
export const main = async ({ assetModelId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const { assetModelDescription } = await client.send(
      new DescribeAssetModelCommand({
        assetModelId: assetModelId, // The ID of the Gateway to describe.
      }),
    );
    console.log("Asset model information retrieved successfully.");
    return { assetModelDescription: assetModelDescription };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. The asset model could not be found. Please check the asset model id.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeAssetModel](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DescribeAssetModelCommand)。

### `DescribeGateway`
<a name="iotsitewise_DescribeGateway_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeGateway`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  DescribeGatewayCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Create an SSM document.
 * @param {{ content: string, name: string, documentType?: DocumentType }}
 */
export const main = async ({ gatewayId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const { gatewayDescription } = await client.send(
      new DescribeGatewayCommand({
        gatewayId: gatewayId, // The ID of the Gateway to describe.
      }),
    );
    console.log("Gateway information retrieved successfully.");
    return { gatewayDescription: gatewayDescription };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. The Gateway could not be found. Please check the Gateway Id.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeGateway](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/DescribeGatewayCommand)。

### `GetAssetPropertyValue`
<a name="iotsitewise_GetAssetPropertyValue_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetAssetPropertyValue`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  GetAssetPropertyValueCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Describe an asset property value.
 * @param {{ entryId : string }}
 */
export const main = async ({ entryId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new GetAssetPropertyValueCommand({
        entryId: entryId, // The ID of the Gateway to describe.
      }),
    );
    console.log("Asset property information retrieved successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ResourceNotFound") {
      console.warn(
        `${caught.message}. The asset property entry could not be found. Please check the entry id.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetAssetPropertyValue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/GetAssetPropertyValueCommand)。

### `ListAssetModels`
<a name="iotsitewise_ListAssetModels_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListAssetModels`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/iotsitewise#code-examples)中設定和執行。

```
import {
  ListAssetModelsCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * List asset models.
 * @param {{ assetModelTypes : array }}
 */
export const main = async ({ assetModelTypes = [] }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new ListAssetModelsCommand({
        assetModelTypes: assetModelTypes, // The model types to list
      }),
    );
    console.log("Asset model types retrieved successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "IoTSiteWiseError") {
      console.warn(
        `${caught.message}. There was a problem listing the asset model types.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListAssetModels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/iotsitewise/command/ListAssetModelsCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Kinesis 範例
<a name="javascript_3_kinesis_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Kinesis 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)
+ [無伺服器範例](#serverless_examples)

## 動作
<a name="actions"></a>

### `PutRecords`
<a name="kinesis_PutRecords_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutRecords`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/kinesis#code-examples)中設定和執行。

```
import { PutRecordsCommand, KinesisClient } from "@aws-sdk/client-kinesis";

/**
 * Put multiple records into a Kinesis stream.
 * @param {{ streamArn: string }} config
 */
export const main = async ({ streamArn }) => {
  const client = new KinesisClient({});
  try {
    await client.send(
      new PutRecordsCommand({
        StreamARN: streamArn,
        Records: [
          {
            Data: new Uint8Array(),
            /**
             * Determines which shard in the stream the data record is assigned to.
             * Partition keys are Unicode strings with a maximum length limit of 256
             * characters for each key. Amazon Kinesis Data Streams uses the partition
             * key as input to a hash function that maps the partition key and
             * associated data to a specific shard.
             */
            PartitionKey: "TEST_KEY",
          },
          {
            Data: new Uint8Array(),
            PartitionKey: "TEST_KEY",
          },
        ],
      }),
    );
  } catch (caught) {
    if (caught instanceof Error) {
      //
    } else {
      throw caught;
    }
  }
};

// Call function if run directly.
import { fileURLToPath } from "node:url";
import { parseArgs } from "node:util";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const options = {
    streamArn: {
      type: "string",
      description: "The ARN of the stream.",
    },
  };

  const { values } = parseArgs({ options });
  main(values);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutRecords](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/kinesis/command/PutRecordsCommand)。

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 Kinesis 觸發條件調用 Lambda 函數
<a name="serverless_Kinesis_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Kinesis 串流的記錄來接收所觸發的事件。此函數會擷取 Kinesis 承載、從 Base64 解碼，並記錄記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-kinesis-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 Kinesis 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const record of event.Records) {
    try {
      console.log(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      console.log(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      console.error(`An error occurred ${err}`);
      throw err;
    }
  }
  console.log(`Successfully processed ${event.Records.length} records.`);
};

async function getRecordDataAsync(payload) {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```
使用 TypeScript 搭配 Lambda 來使用 Kinesis 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import {
  KinesisStreamEvent,
  Context,
  KinesisStreamHandler,
  KinesisStreamRecordPayload,
} from "aws-lambda";
import { Buffer } from "buffer";
import { Logger } from "@aws-lambda-powertools/logger";

const logger = new Logger({
  logLevel: "INFO",
  serviceName: "kinesis-stream-handler-sample",
});

export const functionHandler: KinesisStreamHandler = async (
  event: KinesisStreamEvent,
  context: Context
): Promise<void> => {
  for (const record of event.Records) {
    try {
      logger.info(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      logger.info(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      logger.error(`An error occurred ${err}`);
      throw err;
    }
    logger.info(`Successfully processed ${event.Records.length} records.`);
  }
};

async function getRecordDataAsync(
  payload: KinesisStreamRecordPayload
): Promise<string> {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```

### 使用 Kinesis 觸發條件報告 Lambda 函數的批次項目失敗
<a name="serverless_Kinesis_Lambda_batch_item_failures_javascript_3_topic"></a>

下列程式碼範例示範如何針對接收來自 Kinesis 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-kinesis-to-lambda-with-batch-item-handling)儲存庫中設定和執行。
使用 Javascript 搭配 Lambda 報告 Kinesis 批次項目失敗。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const record of event.Records) {
    try {
      console.log(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      console.log(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      console.error(`An error occurred ${err}`);
      /* Since we are working with streams, we can return the failed item immediately.
            Lambda will immediately begin to retry processing from this failed item onwards. */
      return {
        batchItemFailures: [{ itemIdentifier: record.kinesis.sequenceNumber }],
      };
    }
  }
  console.log(`Successfully processed ${event.Records.length} records.`);
  return { batchItemFailures: [] };
};

async function getRecordDataAsync(payload) {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```
使用 TypeScript 搭配 Lambda 報告 Kinesis 批次項目失敗。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import {
  KinesisStreamEvent,
  Context,
  KinesisStreamHandler,
  KinesisStreamRecordPayload,
  KinesisStreamBatchResponse,
} from "aws-lambda";
import { Buffer } from "buffer";
import { Logger } from "@aws-lambda-powertools/logger";

const logger = new Logger({
  logLevel: "INFO",
  serviceName: "kinesis-stream-handler-sample",
});

export const functionHandler: KinesisStreamHandler = async (
  event: KinesisStreamEvent,
  context: Context
): Promise<KinesisStreamBatchResponse> => {
  for (const record of event.Records) {
    try {
      logger.info(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      logger.info(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      logger.error(`An error occurred ${err}`);
      /* Since we are working with streams, we can return the failed item immediately.
            Lambda will immediately begin to retry processing from this failed item onwards. */
      return {
        batchItemFailures: [{ itemIdentifier: record.kinesis.sequenceNumber }],
      };
    }
  }
  logger.info(`Successfully processed ${event.Records.length} records.`);
  return { batchItemFailures: [] };
};

async function getRecordDataAsync(
  payload: KinesisStreamRecordPayload
): Promise<string> {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Lambda 範例
<a name="javascript_3_lambda_code_examples"></a>

下列程式碼範例示範如何搭配 Lambda 使用 適用於 JavaScript 的 AWS SDK (v3) 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)
+ [案例](#scenarios)
+ [無伺服器範例](#serverless_examples)

## 開始使用
<a name="get_started"></a>

### Hello Lambda
<a name="lambda_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Lambda。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
import { LambdaClient, paginateListFunctions } from "@aws-sdk/client-lambda";

const client = new LambdaClient({});

export const helloLambda = async () => {
  const paginator = paginateListFunctions({ client }, {});
  const functions = [];

  for await (const page of paginator) {
    const funcNames = page.Functions.map((f) => f.FunctionName);
    functions.push(...funcNames);
  }

  console.log("Functions:");
  console.log(functions.join("\n"));
  return functions;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListFunctions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/ListFunctionsCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="lambda_Scenario_GettingStartedFunctions_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立 IAM 角色和 Lambda 函數，然後上傳處理常式程式碼。
+ 調用具有單一參數的函數並取得結果。
+ 更新函數程式碼並使用環境變數進行設定。
+ 調用具有新參數的函數並取得結果。顯示傳回的執行日誌。
+ 列出您帳戶的函數，然後清理相關資源。

如需詳細資訊，請參閱[使用主控台建立 Lambda 函數](https://docs.aws.amazon.com/lambda/latest/dg/getting-started-create-function.html)。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda/scenarios/basic#code-examples)中設定和執行。
建立 AWS Identity and Access Management (IAM) 角色，授予 Lambda 寫入日誌的許可。  

```
    logger.log(`Creating role (${NAME_ROLE_LAMBDA})...`);
    const response = await createRole(NAME_ROLE_LAMBDA);

import { AttachRolePolicyCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} policyArn
 * @param {string} roleName
 */
export const attachRolePolicy = (policyArn, roleName) => {
  const command = new AttachRolePolicyCommand({
    PolicyArn: policyArn,
    RoleName: roleName,
  });

  return client.send(command);
};
```
建立 Lambda 函數並上傳處理常式程式碼。  

```
const createFunction = async (funcName, roleArn) => {
  const client = new LambdaClient({});
  const code = await readFile(`${dirname}../functions/${funcName}.zip`);

  const command = new CreateFunctionCommand({
    Code: { ZipFile: code },
    FunctionName: funcName,
    Role: roleArn,
    Architectures: [Architecture.arm64],
    Handler: "index.handler", // Required when sending a .zip file
    PackageType: PackageType.Zip, // Required when sending a .zip file
    Runtime: Runtime.nodejs16x, // Required when sending a .zip file
  });

  return client.send(command);
};
```
調用具有單一參數的函數並取得結果。  

```
const invoke = async (funcName, payload) => {
  const client = new LambdaClient({});
  const command = new InvokeCommand({
    FunctionName: funcName,
    Payload: JSON.stringify(payload),
    LogType: LogType.Tail,
  });

  const { Payload, LogResult } = await client.send(command);
  const result = Buffer.from(Payload).toString();
  const logs = Buffer.from(LogResult, "base64").toString();
  return { logs, result };
};
```
更新函數程式碼並設定具有環境變數的 Lambda 環境。  

```
const updateFunctionCode = async (funcName, newFunc) => {
  const client = new LambdaClient({});
  const code = await readFile(`${dirname}../functions/${newFunc}.zip`);
  const command = new UpdateFunctionCodeCommand({
    ZipFile: code,
    FunctionName: funcName,
    Architectures: [Architecture.arm64],
    Handler: "index.handler", // Required when sending a .zip file
    PackageType: PackageType.Zip, // Required when sending a .zip file
    Runtime: Runtime.nodejs16x, // Required when sending a .zip file
  });

  return client.send(command);
};

const updateFunctionConfiguration = (funcName) => {
  const client = new LambdaClient({});
  const config = readFileSync(`${dirname}../functions/config.json`).toString();
  const command = new UpdateFunctionConfigurationCommand({
    ...JSON.parse(config),
    FunctionName: funcName,
  });
  const result = client.send(command);
  waitForFunctionUpdated({ FunctionName: funcName });
  return result;
};
```
列出您帳戶的函數。  

```
const listFunctions = () => {
  const client = new LambdaClient({});
  const command = new ListFunctionsCommand({});

  return client.send(command);
};
```
刪除 IAM 角色與 Lambda 函數。  

```
import { DeleteRoleCommand, IAMClient } from "@aws-sdk/client-iam";

const client = new IAMClient({});

/**
 *
 * @param {string} roleName
 */
export const deleteRole = (roleName) => {
  const command = new DeleteRoleCommand({ RoleName: roleName });
  return client.send(command);
};

/**
 * @param {string} funcName
 */
const deleteFunction = (funcName) => {
  const client = new LambdaClient({});
  const command = new DeleteFunctionCommand({ FunctionName: funcName });
  return client.send(command);
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [CreateFunction](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/CreateFunctionCommand)
  + [DeleteFunction](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/DeleteFunctionCommand)
  + [GetFunction](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/GetFunctionCommand)
  + [Invoke](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/InvokeCommand)
  + [ListFunctions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/ListFunctionsCommand)
  + [UpdateFunctionCode](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/UpdateFunctionCodeCommand)
  + [UpdateFunctionConfiguration](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/UpdateFunctionConfigurationCommand)

## 動作
<a name="actions"></a>

### `CreateFunction`
<a name="lambda_CreateFunction_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateFunction`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
const createFunction = async (funcName, roleArn) => {
  const client = new LambdaClient({});
  const code = await readFile(`${dirname}../functions/${funcName}.zip`);

  const command = new CreateFunctionCommand({
    Code: { ZipFile: code },
    FunctionName: funcName,
    Role: roleArn,
    Architectures: [Architecture.arm64],
    Handler: "index.handler", // Required when sending a .zip file
    PackageType: PackageType.Zip, // Required when sending a .zip file
    Runtime: Runtime.nodejs16x, // Required when sending a .zip file
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的「[CreateFunction](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/CreateFunctionCommand)」。

### `DeleteFunction`
<a name="lambda_DeleteFunction_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteFunction`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
/**
 * @param {string} funcName
 */
const deleteFunction = (funcName) => {
  const client = new LambdaClient({});
  const command = new DeleteFunctionCommand({ FunctionName: funcName });
  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteFunction](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/DeleteFunctionCommand)。

### `GetFunction`
<a name="lambda_GetFunction_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetFunction`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
const getFunction = (funcName) => {
  const client = new LambdaClient({});
  const command = new GetFunctionCommand({ FunctionName: funcName });
  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetFunction](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/GetFunctionCommand)。

### `Invoke`
<a name="lambda_Invoke_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `Invoke`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
const invoke = async (funcName, payload) => {
  const client = new LambdaClient({});
  const command = new InvokeCommand({
    FunctionName: funcName,
    Payload: JSON.stringify(payload),
    LogType: LogType.Tail,
  });

  const { Payload, LogResult } = await client.send(command);
  const result = Buffer.from(Payload).toString();
  const logs = Buffer.from(LogResult, "base64").toString();
  return { logs, result };
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [Invoke](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/InvokeCommand)。

### `ListFunctions`
<a name="lambda_ListFunctions_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListFunctions`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
const listFunctions = () => {
  const client = new LambdaClient({});
  const command = new ListFunctionsCommand({});

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListFunctions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/ListFunctionsCommand)。

### `UpdateFunctionCode`
<a name="lambda_UpdateFunctionCode_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateFunctionCode`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
const updateFunctionCode = async (funcName, newFunc) => {
  const client = new LambdaClient({});
  const code = await readFile(`${dirname}../functions/${newFunc}.zip`);
  const command = new UpdateFunctionCodeCommand({
    ZipFile: code,
    FunctionName: funcName,
    Architectures: [Architecture.arm64],
    Handler: "index.handler", // Required when sending a .zip file
    PackageType: PackageType.Zip, // Required when sending a .zip file
    Runtime: Runtime.nodejs16x, // Required when sending a .zip file
  });

  return client.send(command);
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateFunctionCode](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/UpdateFunctionCodeCommand)。

### `UpdateFunctionConfiguration`
<a name="lambda_UpdateFunctionConfiguration_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateFunctionConfiguration`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/lambda#code-examples)中設定和執行。

```
const updateFunctionConfiguration = (funcName) => {
  const client = new LambdaClient({});
  const config = readFileSync(`${dirname}../functions/config.json`).toString();
  const command = new UpdateFunctionConfigurationCommand({
    ...JSON.parse(config),
    FunctionName: funcName,
  });
  const result = client.send(command);
  waitForFunctionUpdated({ FunctionName: funcName });
  return result;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateFunctionConfiguration](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/lambda/command/UpdateFunctionConfigurationCommand)。

## 案例
<a name="scenarios"></a>

### 使用 Lambda 函數自動確認已知使用者
<a name="cross_CognitoAutoConfirmUser_javascript_3_topic"></a>

下列程式碼範例示範如何使用 Lambda 函式自動確認已知的 Amazon Cognito 使用者。
+ 設定使用者集區以呼叫 `PreSignUp` 觸發條件的 Lambda 函數。
+ 使用 Amazon Cognito 註冊使用者。
+ Lambda 函數會掃描 DynamoDB 資料表，並自動確認已知使用者。
+ 以新使用者身分登入，然後清除資源。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-pools-triggers#code-examples)中設定和執行。
設定互動式 "Scenario" 執行。JavaScript (v3) 範例會共用案例執行器，以簡化複雜的範例。完整的原始程式碼位於 GitHub。  

```
import { AutoConfirm } from "./scenario-auto-confirm.js";

/**
 * The context is passed to every scenario. Scenario steps
 * will modify the context.
 */
const context = {
  errors: [],
  users: [
    {
      UserName: "test_user_1",
      UserEmail: "test_email_1@example.com",
    },
    {
      UserName: "test_user_2",
      UserEmail: "test_email_2@example.com",
    },
    {
      UserName: "test_user_3",
      UserEmail: "test_email_3@example.com",
    },
  ],
};

/**
 * Three Scenarios are created for the workflow. A Scenario is an orchestration class
 * that simplifies running a series of steps.
 */
export const scenarios = {
  // Demonstrate automatically confirming known users in a database.
  "auto-confirm": AutoConfirm(context),
};

// Call function if run directly
import { fileURLToPath } from "node:url";
import { parseScenarioArgs } from "@aws-doc-sdk-examples/lib/scenario/index.js";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  parseScenarioArgs(scenarios, {
    name: "Cognito user pools and triggers",
    description:
      "Demonstrate how to use the AWS SDKs to customize Amazon Cognito authentication behavior.",
  });
}
```
此案例展示如何自動確認已知使用者。它會協調範例步驟。  

```
import { wait } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";
import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";

import {
  getStackOutputs,
  logCleanUpReminder,
  promptForStackName,
  promptForStackRegion,
  skipWhenErrors,
} from "./steps-common.js";
import { populateTable } from "./actions/dynamodb-actions.js";
import {
  addPreSignUpHandler,
  deleteUser,
  getUser,
  signIn,
  signUpUser,
} from "./actions/cognito-actions.js";
import {
  getLatestLogStreamForLambda,
  getLogEvents,
} from "./actions/cloudwatch-logs-actions.js";

/**
 * @typedef {{
 *   errors: Error[],
 *   password: string,
 *   users: { UserName: string, UserEmail: string }[],
 *   selectedUser?: string,
 *   stackName?: string,
 *   stackRegion?: string,
 *   token?: string,
 *   confirmDeleteSignedInUser?: boolean,
 *   TableName?: string,
 *   UserPoolClientId?: string,
 *   UserPoolId?: string,
 *   UserPoolArn?: string,
 *   AutoConfirmHandlerArn?: string,
 *   AutoConfirmHandlerName?: string
 * }} State
 */

const greeting = new ScenarioOutput(
  "greeting",
  (/** @type {State} */ state) => `This demo will populate some users into the \
database created as part of the "${state.stackName}" stack. \
Then the AutoConfirmHandler will be linked to the PreSignUp \
trigger from Cognito. Finally, you will choose a user to sign up.`,
  { skipWhen: skipWhenErrors },
);

const logPopulatingUsers = new ScenarioOutput(
  "logPopulatingUsers",
  "Populating the DynamoDB table with some users.",
  { skipWhenErrors: skipWhenErrors },
);

const logPopulatingUsersComplete = new ScenarioOutput(
  "logPopulatingUsersComplete",
  "Done populating users.",
  { skipWhen: skipWhenErrors },
);

const populateUsers = new ScenarioAction(
  "populateUsers",
  async (/** @type {State} */ state) => {
    const [_, err] = await populateTable({
      region: state.stackRegion,
      tableName: state.TableName,
      items: state.users,
    });
    if (err) {
      state.errors.push(err);
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

const logSetupSignUpTrigger = new ScenarioOutput(
  "logSetupSignUpTrigger",
  "Setting up the PreSignUp trigger for the Cognito User Pool.",
  { skipWhen: skipWhenErrors },
);

const setupSignUpTrigger = new ScenarioAction(
  "setupSignUpTrigger",
  async (/** @type {State} */ state) => {
    const [_, err] = await addPreSignUpHandler({
      region: state.stackRegion,
      userPoolId: state.UserPoolId,
      handlerArn: state.AutoConfirmHandlerArn,
    });
    if (err) {
      state.errors.push(err);
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

const logSetupSignUpTriggerComplete = new ScenarioOutput(
  "logSetupSignUpTriggerComplete",
  (
    /** @type {State} */ state,
  ) => `The lambda function "${state.AutoConfirmHandlerName}" \
has been configured as the PreSignUp trigger handler for the user pool "${state.UserPoolId}".`,
  { skipWhen: skipWhenErrors },
);

const selectUser = new ScenarioInput(
  "selectedUser",
  "Select a user to sign up.",
  {
    type: "select",
    choices: (/** @type {State} */ state) => state.users.map((u) => u.UserName),
    skipWhen: skipWhenErrors,
    default: (/** @type {State} */ state) => state.users[0].UserName,
  },
);

const checkIfUserAlreadyExists = new ScenarioAction(
  "checkIfUserAlreadyExists",
  async (/** @type {State} */ state) => {
    const [user, err] = await getUser({
      region: state.stackRegion,
      userPoolId: state.UserPoolId,
      username: state.selectedUser,
    });

    if (err?.name === "UserNotFoundException") {
      // Do nothing. We're not expecting the user to exist before
      // sign up is complete.
      return;
    }

    if (err) {
      state.errors.push(err);
      return;
    }

    if (user) {
      state.errors.push(
        new Error(
          `The user "${state.selectedUser}" already exists in the user pool "${state.UserPoolId}".`,
        ),
      );
    }
  },
  {
    skipWhen: skipWhenErrors,
  },
);

const createPassword = new ScenarioInput(
  "password",
  "Enter a password that has at least eight characters, uppercase, lowercase, numbers and symbols.",
  { type: "password", skipWhen: skipWhenErrors, default: "Abcd1234!" },
);

const logSignUpExistingUser = new ScenarioOutput(
  "logSignUpExistingUser",
  (/** @type {State} */ state) => `Signing up user "${state.selectedUser}".`,
  { skipWhen: skipWhenErrors },
);

const signUpExistingUser = new ScenarioAction(
  "signUpExistingUser",
  async (/** @type {State} */ state) => {
    const signUp = (password) =>
      signUpUser({
        region: state.stackRegion,
        userPoolClientId: state.UserPoolClientId,
        username: state.selectedUser,
        email: state.users.find((u) => u.UserName === state.selectedUser)
          .UserEmail,
        password,
      });

    let [_, err] = await signUp(state.password);

    while (err?.name === "InvalidPasswordException") {
      console.warn("The password you entered was invalid.");
      await createPassword.handle(state);
      [_, err] = await signUp(state.password);
    }

    if (err) {
      state.errors.push(err);
    }
  },
  { skipWhen: skipWhenErrors },
);

const logSignUpExistingUserComplete = new ScenarioOutput(
  "logSignUpExistingUserComplete",
  (/** @type {State} */ state) =>
    `"${state.selectedUser} was signed up successfully.`,
  { skipWhen: skipWhenErrors },
);

const logLambdaLogs = new ScenarioAction(
  "logLambdaLogs",
  async (/** @type {State} */ state) => {
    console.log(
      "Waiting a few seconds to let Lambda write to CloudWatch Logs...\n",
    );
    await wait(10);

    const [logStream, logStreamErr] = await getLatestLogStreamForLambda({
      functionName: state.AutoConfirmHandlerName,
      region: state.stackRegion,
    });
    if (logStreamErr) {
      state.errors.push(logStreamErr);
      return;
    }

    console.log(
      `Getting some recent events from log stream "${logStream.logStreamName}"`,
    );
    const [logEvents, logEventsErr] = await getLogEvents({
      functionName: state.AutoConfirmHandlerName,
      region: state.stackRegion,
      eventCount: 10,
      logStreamName: logStream.logStreamName,
    });
    if (logEventsErr) {
      state.errors.push(logEventsErr);
      return;
    }

    console.log(logEvents.map((ev) => `\t${ev.message}`).join(""));
  },
  { skipWhen: skipWhenErrors },
);

const logSignInUser = new ScenarioOutput(
  "logSignInUser",
  (/** @type {State} */ state) => `Let's sign in as ${state.selectedUser}`,
  { skipWhen: skipWhenErrors },
);

const signInUser = new ScenarioAction(
  "signInUser",
  async (/** @type {State} */ state) => {
    const [response, err] = await signIn({
      region: state.stackRegion,
      clientId: state.UserPoolClientId,
      username: state.selectedUser,
      password: state.password,
    });

    if (err?.name === "PasswordResetRequiredException") {
      state.errors.push(new Error("Please reset your password."));
      return;
    }

    if (err) {
      state.errors.push(err);
      return;
    }

    state.token = response?.AuthenticationResult?.AccessToken;
  },
  { skipWhen: skipWhenErrors },
);

const logSignInUserComplete = new ScenarioOutput(
  "logSignInUserComplete",
  (/** @type {State} */ state) =>
    `Successfully signed in. Your access token starts with: ${state.token.slice(0, 11)}`,
  { skipWhen: skipWhenErrors },
);

const confirmDeleteSignedInUser = new ScenarioInput(
  "confirmDeleteSignedInUser",
  "Do you want to delete the currently signed in user?",
  { type: "confirm", skipWhen: skipWhenErrors },
);

const deleteSignedInUser = new ScenarioAction(
  "deleteSignedInUser",
  async (/** @type {State} */ state) => {
    const [_, err] = await deleteUser({
      region: state.stackRegion,
      accessToken: state.token,
    });

    if (err) {
      state.errors.push(err);
    }
  },
  {
    skipWhen: (/** @type {State} */ state) =>
      skipWhenErrors(state) || !state.confirmDeleteSignedInUser,
  },
);

const logErrors = new ScenarioOutput(
  "logErrors",
  (/** @type {State}*/ state) => {
    const errorList = state.errors
      .map((err) => ` - ${err.name}: ${err.message}`)
      .join("\n");
    return `Scenario errors found:\n${errorList}`;
  },
  {
    // Don't log errors when there aren't any!
    skipWhen: (/** @type {State} */ state) => state.errors.length === 0,
  },
);

export const AutoConfirm = (context) =>
  new Scenario(
    "AutoConfirm",
    [
      promptForStackName,
      promptForStackRegion,
      getStackOutputs,
      greeting,
      logPopulatingUsers,
      populateUsers,
      logPopulatingUsersComplete,
      logSetupSignUpTrigger,
      setupSignUpTrigger,
      logSetupSignUpTriggerComplete,
      selectUser,
      checkIfUserAlreadyExists,
      createPassword,
      logSignUpExistingUser,
      signUpExistingUser,
      logSignUpExistingUserComplete,
      logLambdaLogs,
      logSignInUser,
      signInUser,
      logSignInUserComplete,
      confirmDeleteSignedInUser,
      deleteSignedInUser,
      logCleanUpReminder,
      logErrors,
    ],
    context,
  );
```
這些是與其他案例共用的步驟。  

```
import {
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/scenario.js";
import { getCfnOutputs } from "@aws-doc-sdk-examples/lib/sdk/cfn-outputs.js";

export const skipWhenErrors = (state) => state.errors.length > 0;

export const getStackOutputs = new ScenarioAction(
  "getStackOutputs",
  async (state) => {
    if (!state.stackName || !state.stackRegion) {
      state.errors.push(
        new Error(
          "No stack name or region provided. The stack name and \
region are required to fetch CFN outputs relevant to this example.",
        ),
      );
      return;
    }

    const outputs = await getCfnOutputs(state.stackName, state.stackRegion);
    Object.assign(state, outputs);
  },
);

export const promptForStackName = new ScenarioInput(
  "stackName",
  "Enter the name of the stack you deployed earlier.",
  { type: "input", default: "PoolsAndTriggersStack" },
);

export const promptForStackRegion = new ScenarioInput(
  "stackRegion",
  "Enter the region of the stack you deployed earlier.",
  { type: "input", default: "us-east-1" },
);

export const logCleanUpReminder = new ScenarioOutput(
  "logCleanUpReminder",
  "All done. Remember to run 'cdk destroy' to teardown the stack.",
  { skipWhen: skipWhenErrors },
);
```
具有 Lambda 函數之 `PreSignUp` 觸發條件的處理常式。  

```
import type { PreSignUpTriggerEvent, Handler } from "aws-lambda";
import type { UserRepository } from "./user-repository";
import { DynamoDBUserRepository } from "./user-repository";

export class PreSignUpHandler {
  private userRepository: UserRepository;

  constructor(userRepository: UserRepository) {
    this.userRepository = userRepository;
  }

  private isPreSignUpTriggerSource(event: PreSignUpTriggerEvent): boolean {
    return event.triggerSource === "PreSignUp_SignUp";
  }

  private getEventUserEmail(event: PreSignUpTriggerEvent): string {
    return event.request.userAttributes.email;
  }

  async handlePreSignUpTriggerEvent(
    event: PreSignUpTriggerEvent,
  ): Promise<PreSignUpTriggerEvent> {
    console.log(
      `Received presignup from ${event.triggerSource} for user '${event.userName}'`,
    );

    if (!this.isPreSignUpTriggerSource(event)) {
      return event;
    }

    const eventEmail = this.getEventUserEmail(event);
    console.log(`Looking up email ${eventEmail}.`);
    const storedUserInfo =
      await this.userRepository.getUserInfoByEmail(eventEmail);

    if (!storedUserInfo) {
      console.log(
        `Email ${eventEmail} not found. Email verification is required.`,
      );
      return event;
    }

    if (storedUserInfo.UserName !== event.userName) {
      console.log(
        `UserEmail ${eventEmail} found, but stored UserName '${storedUserInfo.UserName}' does not match supplied UserName '${event.userName}'. Verification is required.`,
      );
    } else {
      console.log(
        `UserEmail ${eventEmail} found with matching UserName ${storedUserInfo.UserName}. User is confirmed.`,
      );
      event.response.autoConfirmUser = true;
      event.response.autoVerifyEmail = true;
    }
    return event;
  }
}

const createPreSignUpHandler = (): PreSignUpHandler => {
  const tableName = process.env.TABLE_NAME;
  if (!tableName) {
    throw new Error("TABLE_NAME environment variable is not set");
  }

  const userRepository = new DynamoDBUserRepository(tableName);
  return new PreSignUpHandler(userRepository);
};

export const handler: Handler = async (event: PreSignUpTriggerEvent) => {
  const preSignUpHandler = createPreSignUpHandler();
  return preSignUpHandler.handlePreSignUpTriggerEvent(event);
};
```
CloudWatch Logs 動作的模組。  

```
import {
  CloudWatchLogsClient,
  GetLogEventsCommand,
  OrderBy,
  paginateDescribeLogStreams,
} from "@aws-sdk/client-cloudwatch-logs";

/**
 * Get the latest log stream for a Lambda function.
 * @param {{ functionName: string, region: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cloudwatch-logs").LogStream | null, unknown]>}
 */
export const getLatestLogStreamForLambda = async ({ functionName, region }) => {
  try {
    const logGroupName = `/aws/lambda/${functionName}`;
    const cwlClient = new CloudWatchLogsClient({ region });
    const paginator = paginateDescribeLogStreams(
      { client: cwlClient },
      {
        descending: true,
        limit: 1,
        orderBy: OrderBy.LastEventTime,
        logGroupName,
      },
    );

    for await (const page of paginator) {
      return [page.logStreams[0], null];
    }
  } catch (err) {
    return [null, err];
  }
};

/**
 * Get the log events for a Lambda function's log stream.
 * @param {{
 *   functionName: string,
 *   logStreamName: string,
 *   eventCount: number,
 *   region: string
 * }} config
 * @returns {Promise<[import("@aws-sdk/client-cloudwatch-logs").OutputLogEvent[] | null, unknown]>}
 */
export const getLogEvents = async ({
  functionName,
  logStreamName,
  eventCount,
  region,
}) => {
  try {
    const cwlClient = new CloudWatchLogsClient({ region });
    const logGroupName = `/aws/lambda/${functionName}`;
    const response = await cwlClient.send(
      new GetLogEventsCommand({
        logStreamName: logStreamName,
        limit: eventCount,
        logGroupName: logGroupName,
      }),
    );

    return [response.events, null];
  } catch (err) {
    return [null, err];
  }
};
```
Amazon Cognito 動作的模組。  

```
import {
  AdminGetUserCommand,
  CognitoIdentityProviderClient,
  DeleteUserCommand,
  InitiateAuthCommand,
  SignUpCommand,
  UpdateUserPoolCommand,
} from "@aws-sdk/client-cognito-identity-provider";

/**
 * Connect a Lambda function to the PreSignUp trigger for a Cognito user pool
 * @param {{ region: string, userPoolId: string, handlerArn: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").UpdateUserPoolCommandOutput | null, unknown]>}
 */
export const addPreSignUpHandler = async ({
  region,
  userPoolId,
  handlerArn,
}) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({
      region,
    });

    const command = new UpdateUserPoolCommand({
      UserPoolId: userPoolId,
      LambdaConfig: {
        PreSignUp: handlerArn,
      },
    });

    const response = await cognitoClient.send(command);
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Attempt to register a user to a user pool with a given username and password.
 * @param {{
 *   region: string,
 *   userPoolClientId: string,
 *   username: string,
 *   email: string,
 *   password: string
 * }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").SignUpCommandOutput | null, unknown]>}
 */
export const signUpUser = async ({
  region,
  userPoolClientId,
  username,
  email,
  password,
}) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({
      region,
    });

    const response = await cognitoClient.send(
      new SignUpCommand({
        ClientId: userPoolClientId,
        Username: username,
        Password: password,
        UserAttributes: [{ Name: "email", Value: email }],
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Sign in a user to Amazon Cognito using a username and password authentication flow.
 * @param {{ region: string, clientId: string, username: string, password: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").InitiateAuthCommandOutput | null, unknown]>}
 */
export const signIn = async ({ region, clientId, username, password }) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({ region });
    const response = await cognitoClient.send(
      new InitiateAuthCommand({
        AuthFlow: "USER_PASSWORD_AUTH",
        ClientId: clientId,
        AuthParameters: { USERNAME: username, PASSWORD: password },
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Retrieve an existing user from a user pool.
 * @param {{ region: string, userPoolId: string, username: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").AdminGetUserCommandOutput | null, unknown]>}
 */
export const getUser = async ({ region, userPoolId, username }) => {
  try {
    const cognitoClient = new CognitoIdentityProviderClient({ region });
    const response = await cognitoClient.send(
      new AdminGetUserCommand({
        UserPoolId: userPoolId,
        Username: username,
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};

/**
 * Delete the signed-in user. Useful for allowing a user to delete their
 * own profile.
 * @param {{ region: string, accessToken: string }} config
 * @returns {Promise<[import("@aws-sdk/client-cognito-identity-provider").DeleteUserCommandOutput | null, unknown]>}
 */
export const deleteUser = async ({ region, accessToken }) => {
  try {
    const client = new CognitoIdentityProviderClient({ region });
    const response = await client.send(
      new DeleteUserCommand({ AccessToken: accessToken }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};
```
DynamoDB 動作的模組。  

```
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
import {
  BatchWriteCommand,
  DynamoDBDocumentClient,
} from "@aws-sdk/lib-dynamodb";

/**
 * Populate a DynamoDB table with provide items.
 * @param {{ region: string, tableName: string, items: Record<string, unknown>[] }} config
 * @returns {Promise<[import("@aws-sdk/lib-dynamodb").BatchWriteCommandOutput | null, unknown]>}
 */
export const populateTable = async ({ region, tableName, items }) => {
  try {
    const ddbClient = new DynamoDBClient({ region });
    const docClient = DynamoDBDocumentClient.from(ddbClient);
    const response = await docClient.send(
      new BatchWriteCommand({
        RequestItems: {
          [tableName]: items.map((item) => ({
            PutRequest: {
              Item: item,
            },
          })),
        },
      }),
    );
    return [response, null];
  } catch (err) {
    return [null, err];
  }
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [DeleteUser](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/DeleteUserCommand)
  + [InitiateAuth](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/InitiateAuthCommand)
  + [SignUp](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/SignUpCommand)
  + [UpdateUserPool](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cognito-identity-provider/command/UpdateUserPoolCommand)

### 建立無伺服器應用程式來管理相片
<a name="cross_PAM_javascript_3_topic"></a>

下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。  
如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager) 上的完整範例。  
如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon Rekognition
+ Amazon S3
+ Amazon SNS

### 建立應用程式以分析客戶意見回饋
<a name="cross_FSA_javascript_3_topic"></a>

下列程式碼範例會示範如何建立可分析客戶評論卡、從其原始語言進行翻譯、判斷對方情緒，以及透過翻譯後的文字產生音訊檔案的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 此範例應用程式會分析和存儲客戶的意見回饋卡。具體來說，它滿足了紐約市一家虛構飯店的需求。飯店以實體評論卡的形式收到賓客以各種語言撰寫的意見回饋。這些意見回饋透過 Web 用戶端上傳至應用程式。評論卡的影像上傳後，系統會執行下列步驟：  
+ 文字內容是使用 Amazon Textract 從影像中擷取。
+ Amazon Comprehend 會決定擷取文字及其用語的情感。
+ 擷取的文字內容會使用 Amazon Translate 翻譯成英文。
+ Amazon Polly 會使用擷取的文字內容合成音訊檔案。
 完整的應用程式可透過  AWS CDK 部署。如需原始程式碼和部署的說明，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer) 中的專案。以下摘錄顯示如何在 Lambda 函數內 適用於 JavaScript 的 AWS SDK 使用 。  

```
import {
  ComprehendClient,
  DetectDominantLanguageCommand,
  DetectSentimentCommand,
} from "@aws-sdk/client-comprehend";

/**
 * Determine the language and sentiment of the extracted text.
 *
 * @param {{ source_text: string}} extractTextOutput
 */
export const handler = async (extractTextOutput) => {
  const comprehendClient = new ComprehendClient({});

  const detectDominantLanguageCommand = new DetectDominantLanguageCommand({
    Text: extractTextOutput.source_text,
  });

  // The source language is required for sentiment analysis and
  // translation in the next step.
  const { Languages } = await comprehendClient.send(
    detectDominantLanguageCommand,
  );

  const languageCode = Languages[0].LanguageCode;

  const detectSentimentCommand = new DetectSentimentCommand({
    Text: extractTextOutput.source_text,
    LanguageCode: languageCode,
  });

  const { Sentiment } = await comprehendClient.send(detectSentimentCommand);

  return {
    sentiment: Sentiment,
    language_code: languageCode,
  };
};
```

```
import {
  DetectDocumentTextCommand,
  TextractClient,
} from "@aws-sdk/client-textract";

/**
 * Fetch the S3 object from the event and analyze it using Amazon Textract.
 *
 * @param {import("@types/aws-lambda").EventBridgeEvent<"Object Created">} eventBridgeS3Event
 */
export const handler = async (eventBridgeS3Event) => {
  const textractClient = new TextractClient();

  const detectDocumentTextCommand = new DetectDocumentTextCommand({
    Document: {
      S3Object: {
        Bucket: eventBridgeS3Event.bucket,
        Name: eventBridgeS3Event.object,
      },
    },
  });

  // Textract returns a list of blocks. A block can be a line, a page, word, etc.
  // Each block also contains geometry of the detected text.
  // For more information on the Block type, see https://docs.aws.amazon.com/textract/latest/dg/API_Block.html.
  const { Blocks } = await textractClient.send(detectDocumentTextCommand);

  // For the purpose of this example, we are only interested in words.
  const extractedWords = Blocks.filter((b) => b.BlockType === "WORD").map(
    (b) => b.Text,
  );

  return extractedWords.join(" ");
};
```

```
import { PollyClient, SynthesizeSpeechCommand } from "@aws-sdk/client-polly";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

/**
 * Synthesize an audio file from text.
 *
 * @param {{ bucket: string, translated_text: string, object: string}} sourceDestinationConfig
 */
export const handler = async (sourceDestinationConfig) => {
  const pollyClient = new PollyClient({});

  const synthesizeSpeechCommand = new SynthesizeSpeechCommand({
    Engine: "neural",
    Text: sourceDestinationConfig.translated_text,
    VoiceId: "Ruth",
    OutputFormat: "mp3",
  });

  const { AudioStream } = await pollyClient.send(synthesizeSpeechCommand);

  const audioKey = `${sourceDestinationConfig.object}.mp3`;

  // Store the audio file in S3.
  const s3Client = new S3Client();
  const upload = new Upload({
    client: s3Client,
    params: {
      Bucket: sourceDestinationConfig.bucket,
      Key: audioKey,
      Body: AudioStream,
      ContentType: "audio/mp3",
    },
  });

  await upload.done();
  return audioKey;
};
```

```
import {
  TranslateClient,
  TranslateTextCommand,
} from "@aws-sdk/client-translate";

/**
 * Translate the extracted text to English.
 *
 * @param {{ extracted_text: string, source_language_code: string}} textAndSourceLanguage
 */
export const handler = async (textAndSourceLanguage) => {
  const translateClient = new TranslateClient({});

  const translateCommand = new TranslateTextCommand({
    SourceLanguageCode: textAndSourceLanguage.source_language_code,
    TargetLanguageCode: "en",
    Text: textAndSourceLanguage.extracted_text,
  });

  const { TranslatedText } = await translateClient.send(translateCommand);

  return { translated_text: TranslatedText };
};
```

**此範例中使用的服務**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

### 從瀏覽器調用 Lambda 函式
<a name="cross_LambdaForBrowser_javascript_3_topic"></a>

下列程式碼範例示範如何從瀏覽器叫用 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 您可以建立瀏覽器型應用程式，該應用程式使用 AWS Lambda 函數更新具有使用者選擇的 Amazon DynamoDB 資料表。此應用程式使用 適用於 JavaScript 的 AWS SDK v3。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-for-browser) 上的完整範例。  

**此範例中使用的服務**
+ DynamoDB
+ Lambda

### 使用 API Gateway 來調用 Lambda 函式
<a name="cross_LambdaAPIGateway_javascript_3_topic"></a>

下列程式碼範例示範如何建立 Amazon API Gateway 調用的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Lambda JavaScript 執行時間 API 建立 AWS Lambda 函數。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立 Amazon API Gateway 調用的 Lambda 函式，該函數會掃描 Amazon DynamoDB 資料表中的工作週年紀念日，並使用 Amazon Simple Notification Service (Amazon SNS) 傳送文字訊息給您的員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-api-gateway) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/api-gateway-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon SNS

### 使用排程事件來調用 Lambda 函式
<a name="cross_LambdaScheduledEvents_javascript_3_topic"></a>

下列程式碼範例示範如何建立由 Amazon EventBridge 排程事件呼叫的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何建立叫用 AWS Lambda 函數的 Amazon EventBridge 排程事件。將 EventBridge 設定為在調用 Lambda 函式時使用 Cron 表達式來進行排程。在此範例中，您會使用 Lambda JavaScript 執行時期 API 建立 Lambda 函式。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立應用程式，將行動裝置文字訊息傳送給員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-scheduled-events) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/scheduled-events-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ CloudWatch Logs
+ DynamoDB
+ EventBridge
+ Lambda
+ Amazon SNS

## 無伺服器範例
<a name="serverless_examples"></a>

### 連線至 Lambda 函數中的 Amazon RDS 資料庫
<a name="serverless_connect_RDS_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作連線至 RDS 資料庫的 Lambda 函式。該函數會提出簡單的資料庫請求並傳回結果。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-connect-rds-iam)儲存庫中設定和執行。
使用 JavaScript 連線至 Lambda 函數中的 Amazon RDS 資料庫。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
/* 
Node.js code here.
*/
// ES6+ example
import { Signer } from "@aws-sdk/rds-signer";
import mysql from 'mysql2/promise';

async function createAuthToken() {
  // Define connection authentication parameters
  const dbinfo = {

    hostname: process.env.ProxyHostName,
    port: process.env.Port,
    username: process.env.DBUserName,
    region: process.env.AWS_REGION,

  }

  // Create RDS Signer object
  const signer = new Signer(dbinfo);

  // Request authorization token from RDS, specifying the username
  const token = await signer.getAuthToken();
  return token;
}

async function dbOps() {

  // Obtain auth token
  const token = await createAuthToken();
  // Define connection configuration
  let connectionConfig = {
    host: process.env.ProxyHostName,
    user: process.env.DBUserName,
    password: token,
    database: process.env.DBName,
    ssl: 'Amazon RDS'
  }
  // Create the connection to the DB
  const conn = await mysql.createConnection(connectionConfig);
  // Obtain the result of the query
  const [res,] = await conn.execute('select ?+? as sum', [3, 2]);
  return res;

}

export const handler = async (event) => {
  // Execute database flow
  const result = await dbOps();
  // Return result
  return {
    statusCode: 200,
    body: JSON.stringify("The selected sum is: " + result[0].sum)
  }
};
```
使用 TypeScript 連線至 Lambda 函數中的 Amazon RDS 資料庫。  

```
import { Signer } from "@aws-sdk/rds-signer";
import mysql from 'mysql2/promise';

// RDS settings
// Using '!' (non-null assertion operator) to tell the TypeScript compiler that the DB settings are not null or undefined,
const proxy_host_name = process.env.PROXY_HOST_NAME!
const port = parseInt(process.env.PORT!)
const db_name = process.env.DB_NAME!
const db_user_name = process.env.DB_USER_NAME!
const aws_region = process.env.AWS_REGION!


async function createAuthToken(): Promise<string> {

    // Create RDS Signer object
    const signer = new Signer({
        hostname: proxy_host_name,
        port: port,
        region: aws_region,
        username: db_user_name
    });

    // Request authorization token from RDS, specifying the username
    const token = await signer.getAuthToken();
    return token;
}

async function dbOps(): Promise<mysql.QueryResult | undefined> {
    try {
        // Obtain auth token
        const token = await createAuthToken();
        const conn = await mysql.createConnection({
            host: proxy_host_name,
            user: db_user_name,
            password: token,
            database: db_name,
            ssl: 'Amazon RDS' // Ensure you have the CA bundle for SSL connection
        });
        const [rows, fields] = await conn.execute('SELECT ? + ? AS sum', [3, 2]);
        console.log('result:', rows);
        return rows;
    }
    catch (err) {
        console.log(err);
    }
}

export const lambdaHandler = async (event: any): Promise<{ statusCode: number; body: string }> => {
    // Execute database flow
    const result = await dbOps();

    // Return error is result is undefined
    if (result == undefined)
        return {
            statusCode: 500,
            body: JSON.stringify(`Error with connection to DB host`)
        }

    // Return result
    return {
        statusCode: 200,
        body: JSON.stringify(`The selected sum is: ${result[0].sum}`)
    };
};
```

### 使用 Kinesis 觸發條件調用 Lambda 函數
<a name="serverless_Kinesis_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Kinesis 串流的記錄來接收所觸發的事件。此函數會擷取 Kinesis 承載、從 Base64 解碼，並記錄記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-kinesis-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 Kinesis 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const record of event.Records) {
    try {
      console.log(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      console.log(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      console.error(`An error occurred ${err}`);
      throw err;
    }
  }
  console.log(`Successfully processed ${event.Records.length} records.`);
};

async function getRecordDataAsync(payload) {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```
使用 TypeScript 搭配 Lambda 來使用 Kinesis 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import {
  KinesisStreamEvent,
  Context,
  KinesisStreamHandler,
  KinesisStreamRecordPayload,
} from "aws-lambda";
import { Buffer } from "buffer";
import { Logger } from "@aws-lambda-powertools/logger";

const logger = new Logger({
  logLevel: "INFO",
  serviceName: "kinesis-stream-handler-sample",
});

export const functionHandler: KinesisStreamHandler = async (
  event: KinesisStreamEvent,
  context: Context
): Promise<void> => {
  for (const record of event.Records) {
    try {
      logger.info(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      logger.info(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      logger.error(`An error occurred ${err}`);
      throw err;
    }
    logger.info(`Successfully processed ${event.Records.length} records.`);
  }
};

async function getRecordDataAsync(
  payload: KinesisStreamRecordPayload
): Promise<string> {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```

### 使用 DynamoDB 觸發條件調用 Lambda 函式
<a name="serverless_DynamoDB_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DynamoDB 串流的記錄來接收所觸發的事件。函數會擷取 DynamoDB 承載並記下記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 DynamoDB 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
    console.log(JSON.stringify(event, null, 2));
    event.Records.forEach(record => {
        logDynamoDBRecord(record);
    });
};

const logDynamoDBRecord = (record) => {
    console.log(record.eventID);
    console.log(record.eventName);
    console.log(`DynamoDB Record: ${JSON.stringify(record.dynamodb)}`);
};
```
使用 TypeScript 搭配 Lambda 來使用 DynamoDB 事件。  

```
export const handler = async (event, context) => {
    console.log(JSON.stringify(event, null, 2));
    event.Records.forEach(record => {
        logDynamoDBRecord(record);
    });
}
const logDynamoDBRecord = (record) => {
    console.log(record.eventID);
    console.log(record.eventName);
    console.log(`DynamoDB Record: ${JSON.stringify(record.dynamodb)}`);
};
```

### 使用 Amazon DocumentDB 觸發條件調用 Lambda 函數
<a name="serverless_DocumentDB_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 DocumentDB 變更串流的記錄來接收所觸發的事件。函數會擷取 DocumentDB 承載並記下記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-docdb-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 使用 Amazon DocumentDB 事件。  

```
console.log('Loading function');
exports.handler = async (event, context) => {
    event.events.forEach(record => {
        logDocumentDBEvent(record);
    });
    return 'OK';
};

const logDocumentDBEvent = (record) => {
    console.log('Operation type: ' + record.event.operationType);
    console.log('db: ' + record.event.ns.db);
    console.log('collection: ' + record.event.ns.coll);
    console.log('Full document:', JSON.stringify(record.event.fullDocument, null, 2));
};
```
使用 TypeScript 搭配 Lambda 使用 Amazon DocumentDB 事件  

```
import { DocumentDBEventRecord, DocumentDBEventSubscriptionContext } from 'aws-lambda';

console.log('Loading function');

export const handler = async (
  event: DocumentDBEventSubscriptionContext,
  context: any
): Promise<string> => {
  event.events.forEach((record: DocumentDBEventRecord) => {
    logDocumentDBEvent(record);
  });
  return 'OK';
};

const logDocumentDBEvent = (record: DocumentDBEventRecord): void => {
  console.log('Operation type: ' + record.event.operationType);
  console.log('db: ' + record.event.ns.db);
  console.log('collection: ' + record.event.ns.coll);
  console.log('Full document:', JSON.stringify(record.event.fullDocument, null, 2));
};
```

### 使用 Amazon MSK 觸發條件調用 Lambda 函數
<a name="serverless_MSK_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Amazon MSK 叢集的記錄來接收所觸發的事件。函數會擷取 MSK 承載並記下記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-msk-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來取用 Amazon MSK 事件。  

```
exports.handler = async (event) => {
    // Iterate through keys
    for (let key in event.records) {
      console.log('Key: ', key)
      // Iterate through records
      event.records[key].map((record) => {
        console.log('Record: ', record)
        // Decode base64
        const msg = Buffer.from(record.value, 'base64').toString()
        console.log('Message:', msg)
      }) 
    }
}
```
搭配 Lambda 使用 TypeScript 來取用 Amazon MSK 事件。  

```
import { MSKEvent, Context } from "aws-lambda";
import { Buffer } from "buffer";
import { Logger } from "@aws-lambda-powertools/logger";

const logger = new Logger({
  logLevel: "INFO",
  serviceName: "msk-handler-sample",
});

export const handler = async (
  event: MSKEvent,
  context: Context
): Promise<void> => {
  for (const [topic, topicRecords] of Object.entries(event.records)) {
    logger.info(`Processing key: ${topic}`);

    // Process each record in the partition
    for (const record of topicRecords) {
      try {
        // Decode the message value from base64
        const decodedMessage = Buffer.from(record.value, 'base64').toString();

        logger.info({
          message: decodedMessage
        });
      }
      catch (error) {
        logger.error('Error processing event', { error });
        throw error;
      }
    };
  }
}
```

### 使用 Amazon S3 觸發條件調用 Lambda 函數
<a name="serverless_S3_Lambda_javascript_3_topic"></a>

下列程式碼範例示範如何實作 Lambda 函式，該函式接收透過上傳物件至 S3 儲存貯體時所觸發的事件。此函數會從事件參數擷取 S3 儲存貯體名稱和物件金鑰，並呼叫 Amazon S3 API 以擷取和記錄物件的內容類型。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-s3-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 S3 事件。  

```
import { S3Client, HeadObjectCommand } from "@aws-sdk/client-s3";

const client = new S3Client();

export const handler = async (event, context) => {

    // Get the object from the event and show its content type
    const bucket = event.Records[0].s3.bucket.name;
    const key = decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, ' '));

    try {
        const { ContentType } = await client.send(new HeadObjectCommand({
            Bucket: bucket,
            Key: key,
        }));

        console.log('CONTENT TYPE:', ContentType);
        return ContentType;

    } catch (err) {
        console.log(err);
        const message = `Error getting object ${key} from bucket ${bucket}. Make sure they exist and your bucket is in the same region as this function.`;
        console.log(message);
        throw new Error(message);
    }
};
```
使用 TypeScript 搭配 Lambda 來使用 S3 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { S3Event } from 'aws-lambda';
import { S3Client, HeadObjectCommand } from '@aws-sdk/client-s3';

const s3 = new S3Client({ region: process.env.AWS_REGION });

export const handler = async (event: S3Event): Promise<string | undefined> => {
  // Get the object from the event and show its content type
  const bucket = event.Records[0].s3.bucket.name;
  const key = decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, ' '));
  const params = {
    Bucket: bucket,
    Key: key,
  };
  try {
    const { ContentType } = await s3.send(new HeadObjectCommand(params));
    console.log('CONTENT TYPE:', ContentType);
    return ContentType;
  } catch (err) {
    console.log(err);
    const message = `Error getting object ${key} from bucket ${bucket}. Make sure they exist and your bucket is in the same region as this function.`;
    console.log(message);
    throw new Error(message);
  }
};
```

### 使用 Amazon SNS 觸發條件調用 Lambda 函數
<a name="serverless_SNS_Lambda_javascript_3_topic"></a>

下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SNS 主題的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-sns-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 SNS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const record of event.Records) {
    await processMessageAsync(record);
  }
  console.info("done");
};

async function processMessageAsync(record) {
  try {
    const message = JSON.stringify(record.Sns.Message);
    console.log(`Processed message ${message}`);
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```
使用 TypeScript 搭配 Lambda 來使用 SNS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { SNSEvent, Context, SNSHandler, SNSEventRecord } from "aws-lambda";

export const functionHandler: SNSHandler = async (
  event: SNSEvent,
  context: Context
): Promise<void> => {
  for (const record of event.Records) {
    await processMessageAsync(record);
  }
  console.info("done");
};

async function processMessageAsync(record: SNSEventRecord): Promise<any> {
  try {
    const message: string = JSON.stringify(record.Sns.Message);
    console.log(`Processed message ${message}`);
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```

### 使用 Amazon SQS 觸發條件調用 Lambda 函數
<a name="serverless_SQS_Lambda_javascript_3_topic"></a>

下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SQS 佇列的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-sqs-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 SQS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const message of event.Records) {
    await processMessageAsync(message);
  }
  console.info("done");
};

async function processMessageAsync(message) {
  try {
    console.log(`Processed message ${message.body}`);
    // TODO: Do interesting work based on the new message
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```
使用 TypeScript 搭配 Lambda 來使用 SQS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { SQSEvent, Context, SQSHandler, SQSRecord } from "aws-lambda";

export const functionHandler: SQSHandler = async (
  event: SQSEvent,
  context: Context
): Promise<void> => {
  for (const message of event.Records) {
    await processMessageAsync(message);
  }
  console.info("done");
};

async function processMessageAsync(message: SQSRecord): Promise<any> {
  try {
    console.log(`Processed message ${message.body}`);
    // TODO: Do interesting work based on the new message
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```

### 使用 Kinesis 觸發條件報告 Lambda 函數的批次項目失敗
<a name="serverless_Kinesis_Lambda_batch_item_failures_javascript_3_topic"></a>

下列程式碼範例示範如何針對接收來自 Kinesis 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-kinesis-to-lambda-with-batch-item-handling)儲存庫中設定和執行。
使用 Javascript 搭配 Lambda 報告 Kinesis 批次項目失敗。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const record of event.Records) {
    try {
      console.log(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      console.log(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      console.error(`An error occurred ${err}`);
      /* Since we are working with streams, we can return the failed item immediately.
            Lambda will immediately begin to retry processing from this failed item onwards. */
      return {
        batchItemFailures: [{ itemIdentifier: record.kinesis.sequenceNumber }],
      };
    }
  }
  console.log(`Successfully processed ${event.Records.length} records.`);
  return { batchItemFailures: [] };
};

async function getRecordDataAsync(payload) {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```
使用 TypeScript 搭配 Lambda 報告 Kinesis 批次項目失敗。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import {
  KinesisStreamEvent,
  Context,
  KinesisStreamHandler,
  KinesisStreamRecordPayload,
  KinesisStreamBatchResponse,
} from "aws-lambda";
import { Buffer } from "buffer";
import { Logger } from "@aws-lambda-powertools/logger";

const logger = new Logger({
  logLevel: "INFO",
  serviceName: "kinesis-stream-handler-sample",
});

export const functionHandler: KinesisStreamHandler = async (
  event: KinesisStreamEvent,
  context: Context
): Promise<KinesisStreamBatchResponse> => {
  for (const record of event.Records) {
    try {
      logger.info(`Processed Kinesis Event - EventID: ${record.eventID}`);
      const recordData = await getRecordDataAsync(record.kinesis);
      logger.info(`Record Data: ${recordData}`);
      // TODO: Do interesting work based on the new data
    } catch (err) {
      logger.error(`An error occurred ${err}`);
      /* Since we are working with streams, we can return the failed item immediately.
            Lambda will immediately begin to retry processing from this failed item onwards. */
      return {
        batchItemFailures: [{ itemIdentifier: record.kinesis.sequenceNumber }],
      };
    }
  }
  logger.info(`Successfully processed ${event.Records.length} records.`);
  return { batchItemFailures: [] };
};

async function getRecordDataAsync(
  payload: KinesisStreamRecordPayload
): Promise<string> {
  var data = Buffer.from(payload.data, "base64").toString("utf-8");
  await Promise.resolve(1); //Placeholder for actual async work
  return data;
}
```

### 使用 DynamoDB 觸發條件報告 Lambda 函式的批次項目失敗
<a name="serverless_DynamoDB_Lambda_batch_item_failures_javascript_3_topic"></a>

下列程式碼範例示範如何針對接收來自 DynamoDB 串流之事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 報告 DynamoDB 批次項目失敗。  

```
export const handler = async (event) => {
  const records = event.Records;
  let curRecordSequenceNumber = "";

  for (const record of records) {
    try {
      // Process your record
      curRecordSequenceNumber = record.dynamodb.SequenceNumber;
    } catch (e) {
      // Return failed record's sequence number
      return { batchItemFailures: [{ itemIdentifier: curRecordSequenceNumber }] };
    }
  }

  return { batchItemFailures: [] };
};
```
使用 TypeScript 搭配 Lambda 報告 DynamoDB 批次項目失敗。  

```
import {
  DynamoDBBatchResponse,
  DynamoDBBatchItemFailure,
  DynamoDBStreamEvent,
} from "aws-lambda";

export const handler = async (
  event: DynamoDBStreamEvent
): Promise<DynamoDBBatchResponse> => {
  const batchItemFailures: DynamoDBBatchItemFailure[] = [];
  let curRecordSequenceNumber;

  for (const record of event.Records) {
    curRecordSequenceNumber = record.dynamodb?.SequenceNumber;

    if (curRecordSequenceNumber) {
      batchItemFailures.push({
        itemIdentifier: curRecordSequenceNumber,
      });
    }
  }

  return { batchItemFailures: batchItemFailures };
};
```

### 使用 Amazon SQS 觸發條件報告 Lambda 函數的批次項目失敗
<a name="serverless_SQS_Lambda_batch_item_failures_javascript_3_topic"></a>

下列程式碼範例示範如何為接收從 SQS 佇列接收事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-sqs-report-batch-item-failures)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 報告 SQS 批次項目失敗。  

```
// Node.js 20.x Lambda runtime, AWS SDK for Javascript V3
export const handler = async (event, context) => {
    const batchItemFailures = [];
    for (const record of event.Records) {
        try {
            await processMessageAsync(record, context);
        } catch (error) {
            batchItemFailures.push({ itemIdentifier: record.messageId });
        }
    }
    return { batchItemFailures };
};

async function processMessageAsync(record, context) {
    if (record.body && record.body.includes("error")) {
        throw new Error("There is an error in the SQS Message.");
    }
    console.log(`Processed message: ${record.body}`);
}
```
使用 TypeScript 搭配 Lambda 報告 SQS 批次項目失敗。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { SQSEvent, SQSBatchResponse, Context, SQSBatchItemFailure, SQSRecord } from 'aws-lambda';

export const handler = async (event: SQSEvent, context: Context): Promise<SQSBatchResponse> => {
    const batchItemFailures: SQSBatchItemFailure[] = [];

    for (const record of event.Records) {
        try {
            await processMessageAsync(record);
        } catch (error) {
            batchItemFailures.push({ itemIdentifier: record.messageId });
        }
    }

    return {batchItemFailures: batchItemFailures};
};

async function processMessageAsync(record: SQSRecord): Promise<void> {
    if (record.body && record.body.includes("error")) {
        throw new Error('There is an error in the SQS Message.');
    }
    console.log(`Processed message ${record.body}`);
}
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Lex 範例
<a name="javascript_3_lex_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Lex 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建置 Amazon Lex 聊天機器人
<a name="cross_LexChatbotLanguages_javascript_3_topic"></a>

下列程式碼範例示範如何建立聊天機器人，與網站訪客的互動。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Amazon Lex API 在 Web 應用程式中建立 Chatbot，與網站訪客的互動。  
 如需完整的原始程式碼和如何設定和執行的指示，請參閱 適用於 JavaScript 的 AWS SDK 開發人員指南中的[建置 Amazon Lex 聊天機器人](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/lex-bot-example.html)完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Location 範例
<a name="javascript_3_location_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Location 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### Hello Amazon Location
<a name="location_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Amazon Location Service。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  LocationClient,
  ListGeofenceCollectionsCommand,
} from "@aws-sdk/client-location";

/**
 * Lists geofences from a specified geofence collection asynchronously.
 */
export const main = async () => {
  const region = "eu-west-1";
  const locationClient = new LocationClient({ region: region });
  const listGeofenceCollParams = {
    MaxResults: 100,
  };
  try {
    const command = new ListGeofenceCollectionsCommand(listGeofenceCollParams);
    const response = await locationClient.send(command);
    const geofenceEntries = response.Entries;
    if (geofenceEntries.length === 0) {
      console.log("No Geofences were found in the collection.");
    } else {
      for (const geofenceEntry of geofenceEntries) {
        console.log(`Geofence ID: ${geofenceEntry.CollectionName}`);
      }
    }
  } catch (error) {
    console.error(
      `A validation error occurred while creating geofence: ${error} \n Exiting program.`,
    );
    return;
  }
};
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [ListGeofenceCollections](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/ListGeofenceCollectionsCommand)
  + [ListGeofences](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/ListGeofencesCommand)

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="location_Scenario_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立 Amazon Location 地圖。
+ 建立 Amazon Location API 金鑰。
+ 顯示地圖 URL。
+ 建立地理柵欄集合。
+ 儲存地理柵欄幾何。
+ 建立追蹤器資源。
+ 更新裝置的定位。
+ 擷取指定裝置的最新定位更新。
+ 建立路線計算器。
+ 判斷西雅圖和溫哥華之間的距離。
+ 使用 Amazon Location 更高階 API。
+ 刪除 Amazon Location 資產。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/scenarios#code-examples)中設定和執行。

```
/*
Before running this JavaScript code example, set up your development environment, including your credentials.
This demo illustrates how to use the AWS SDK for JavaScript (v3) to work with Amazon Location Service.

For more information, see the following documentation topic:

https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/getting-started.html
*/

import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";

import {
  CreateMapCommand,
  CreateGeofenceCollectionCommand,
  PutGeofenceCommand,
  CreateTrackerCommand,
  BatchUpdateDevicePositionCommand,
  GetDevicePositionCommand,
  CreateRouteCalculatorCommand,
  CalculateRouteCommand,
  LocationClient,
  ConflictException,
  ResourceNotFoundException,
  DeleteGeofenceCollectionCommand,
  DeleteRouteCalculatorCommand,
  DeleteTrackerCommand,
  DeleteMapCommand,
} from "@aws-sdk/client-location";

import {
  GeoPlacesClient,
  ReverseGeocodeCommand,
  SearchNearbyCommand,
  SearchTextCommand,
  GetPlaceCommand,
  ValidationException,
} from "@aws-sdk/client-geo-places";

import { parseArgs } from "node:util";
import { fileURLToPath } from "node:url";

/*The inputs for this example can be edited in the ./input.json.*/
import data from "./inputs.json" with { type: "json" };

/**
 * Used repeatedly to have the user press enter.
 * @type {ScenarioInput}
 */
/* v8 ignore next 3 */
const pressEnter = new ScenarioInput("continue", "Press Enter to continue", {
  type: "confirm",
  verbose: "false",
});

const pressEnterConfirm = new ScenarioInput(
  "confirm",
  "Press Enter to continue",
  {
    type: "confirm",
    verbose: "false",
  },
);

const region = "eu-west-1";

const locationClient = new LocationClient({ region: region });

const greet = new ScenarioOutput(
  "greet",
  "Welcome to the Amazon Location Use demo! \n" +
    "AWS Location Service is a fully managed service offered by Amazon Web Services (AWS) that " +
    "provides location-based services for developers. This service simplifies " +
    "the integration of location-based features into applications, making it " +
    "Maps: The service provides access to high-quality maps, satellite imagery, " +
    "and geospatial data from various providers, allowing developers to " +
    "easily embed maps into their applications:\n" +
    "Tracking: The Location Service enables real-time tracking of mobile devices, " +
    "assets, or other entities, allowing developers to build applications " +
    "that can monitor the location of people, vehicles, or other objects.\n" +
    "Geocoding: The service provides the ability to convert addresses or " +
    "location names into geographic coordinates (latitude and longitude), " +
    "and vice versa, enabling developers to integrate location-based search " +
    "and routing functionality into their applications. " +
    "Please define values ./inputs.json for each user-defined variable used in this app. Otherwise the default is used:\n" +
    "- mapName: The name of the map to be create (default is 'AWSMap').\n" +
    "- keyName: The name of the API key to create (default is ' AWSApiKey')\n" +
    "- collectionName: The name of the geofence collection (default is 'AWSLocationCollection')\n" +
    "- geoId: The geographic identifier used for the geofence or map (default is 'geoId')\n" +
    "- trackerName: The name of the tracker (default is 'geoTracker')\n" +
    "- calculatorName: The name of the route calculator (default is 'AWSRouteCalc')\n" +
    "- deviceId: The ID of the device (default is 'iPhone-112356')",

  { header: true },
);
const displayCreateAMap = new ScenarioOutput(
  "displayCreateAMap",
  "1. Create a map\n" +
    "An AWS Location map can enhance the user experience of your " +
    " application by providing accurate and personalized location-based " +
    " features. For example, you could use the geocoding capabilities to " +
    " allow users to search for and locate businesses, landmarks, or " +
    " other points of interest within a specific region.",
);

const sdkCreateAMap = new ScenarioAction(
  "sdkCreateAMap",
  async (/** @type {State} */ state) => {
    const createMapParams = {
      MapName: `${data.inputs.mapName}`,
      Configuration: { style: "VectorEsriNavigation" },
    };
    try {
      const command = new CreateMapCommand(createMapParams);
      const response = await locationClient.send(command);
      state.MapName = response.MapName;
      console.log("Map created. Map ARN is: ", state.MapName);
    } catch (error) {
      console.error("Error creating map: ", error);
      throw error;
    }
  },
);

const displayMapUrl = new ScenarioOutput(
  "displayMapUrl",
  "2. Display Map URL\n" +
    "When you embed a map in a web app or website, the API key is " +
    "included in the map tile URL to authenticate requests. You can " +
    "restrict API keys to specific AWS Location operations (e.g., only " +
    "maps, not geocoding). API keys can expire, ensuring temporary " +
    "access control.\n" +
    "In order to get the MAP URL you need to create and get the API Key value. " +
    "You can create and get the key value using the AWS Management Console under " +
    "Location Services. These operations cannot be completed using the " +
    "AWS SDK. For more information about getting the key value, see " +
    "the AWS Location Documentation.",
);

const sdkDisplayMapUrl = new ScenarioAction(
  "sdkDisplayMapUrl",
  async (/** @type {State} */ state) => {
    const mapURL = `https://maps.geo.aws.amazon.com/maps/v0/maps/${state.MapName}/tiles/{z}/{x}/{y}?key=API_KEY_VALUE`;
    state.mapURL = mapURL;
    console.log(
      `Replace \'API_KEY_VALUE\' in the following URL with the value for the API key you create and get from the AWS Management Console under Location Services. This is then the Map URL you can embed this URL in your Web app:\n 
${state.mapURL}`,
    );
  },
);
const displayCreateGeoFenceColl = new ScenarioOutput(
  "displayCreateGeoFenceColl",
  "3. Create a geofence collection, which manages and stores geofences.",
);

const sdkCreateGeoFenceColl = new ScenarioAction(
  "sdkCreateGeoFenceColl",
  async (/** @type {State} */ state) => {
    // Creates a new geofence collection.
    const geoFenceCollParams = {
      CollectionName: `${data.inputs.collectionName}`,
    };
    try {
      const command = new CreateGeofenceCollectionCommand(geoFenceCollParams);
      const response = await locationClient.send(command);
      state.CollectionName = response.CollectionName;
      console.log(
        `The geofence collection was successfully created: ${state.CollectionName}`,
      );
    } catch (caught) {
      if (caught instanceof ConflictException) {
        console.error(
          `An unexpected error occurred while creating the geofence collection: ${caught.message} \n Exiting program.`,
        );
        return;
      }
    }
  },
);
const displayStoreGeometry = new ScenarioOutput(
  "displayStoreGeometry",
  "4. Store a geofence geometry in a given geofence collection. " +
    "An AWS Location geofence is a virtual boundary that defines a geographic area " +
    "on a map. It is a useful feature for tracking the location of " +
    "assets or monitoring the movement of objects within a specific region. " +
    "To define a geofence, you need to specify the coordinates of a " +
    "polygon that represents the area of interest. The polygon must be " +
    "defined in a counter-clockwise direction, meaning that the points of " +
    "the polygon must be listed in a counter-clockwise order. " +
    "This is a requirement for the AWS Location service to correctly " +
    "interpret the geofence and ensure that the location data is " +
    "accurately processed within the defined area.",
);

const sdkStoreGeometry = new ScenarioAction(
  "sdkStoreGeometry",
  async (/** @type {State} */ state) => {
    const geoFenceGeoParams = {
      CollectionName: `${data.inputs.collectionName}`,
      GeofenceId: `${data.inputs.geoId}`,
      Geometry: {
        Polygon: [
          [
            [-122.3381, 47.6101],
            [-122.3281, 47.6101],
            [-122.3281, 47.6201],
            [-122.3381, 47.6201],
            [-122.3381, 47.6101],
          ],
        ],
      },
    };
    try {
      const command = new PutGeofenceCommand(geoFenceGeoParams);
      const response = await locationClient.send(command);
      state.GeoFencId = response.GeofenceId;
      console.log("GeoFence created. GeoFence ID is: ", state.GeoFencId);
    } catch (caught) {
      if (caught instanceof ValidationException) {
        console.error(
          `A validation error occurred while creating geofence: ${caught.message} \n Exiting program.`,
        );
        return;
      }
    }
  },
);
const displayCreateTracker = new ScenarioOutput(
  "displayCreateTracker",
  "5. Create a tracker resource which lets you retrieve current and historical location of devices.",
);

const sdkCreateTracker = new ScenarioAction(
  "sdkCreateTracker",
  async (/** @type {State} */ state) => {
    //Creates a new tracker resource in your AWS account, which you can use to track the location of devices.
    const createTrackerParams = {
      TrackerName: `${data.inputs.trackerName}`,
      Description: "Created using the JavaScript V3 SDK",
      PositionFiltering: "TimeBased",
    };
    try {
      const command = new CreateTrackerCommand(createTrackerParams);
      const response = await locationClient.send(command);
      state.trackerName = response.TrackerName;
      console.log("Tracker created. Tracker name is : ", state.trackerName);
    } catch (caught) {
      if (caught instanceof ResourceNotFoundException) {
        console.error(
          `A validation error occurred while creating geofence: ${caught.message} \n Exiting program.`,
        );
      } else {
        `An unexpected error error occurred: ${caught.message} \n Exiting program.`;
      }
      return;
    }
  },
);
const displayUpdatePosition = new ScenarioOutput(
  "displayUpdatePosition",
  "6. Update the position of a device in the location tracking system." +
    "The AWS Location Service does not enforce a strict format for deviceId, but it must:\n " +
    "- Be a string (case-sensitive).\n" +
    "- Be 1–100 characters long.\n" +
    "- Contain only: Alphanumeric characters (A-Z, a-z, 0-9); Underscores (_); Hyphens (-); and be the same ID used when sending and retrieving positions.",
);

const sdkUpdatePosition = new ScenarioAction(
  "sdkUpdatePosition",
  async (/** @type {State} */ state) => {
    // Updates the position of a device in the location tracking system.

    const updateDevicePosParams = {
      TrackerName: `${data.inputs.trackerName}`,
      Updates: [
        {
          DeviceId: `${data.inputs.deviceId}`,
          SampleTime: new Date(),
          Position: [-122.4194, 37.7749],
        },
      ],
    };
    try {
      const command = new BatchUpdateDevicePositionCommand(
        updateDevicePosParams,
      );
      const response = await locationClient.send(command);
      console.log(
        `Device with id ${data.inputs.deviceId} was successfully updated in the location tracking system. `,
      );
    } catch (caught) {
      if (caught instanceof ResourceNotFoundException) {
        console.error(
          `A validation error occurred while updating the device: ${caught.message} \n Exiting program.`,
        );
      }
    }
  },
);
const displayRetrievePosition = new ScenarioOutput(
  "displayRetrievePosition",
  "7. Retrieve the most recent position update for a specified device.",
);

const sdkRetrievePosition = new ScenarioAction(
  "sdkRetrievePosition",
  async (/** @type {State} */ state) => {
    const devicePositionParams = {
      TrackerName: `${data.inputs.trackerName}`,
      DeviceId: `${data.inputs.deviceId}`,
    };
    try {
      const command = new GetDevicePositionCommand(devicePositionParams);
      const response = await locationClient.send(command);
      state.position = response.Position;
      console.log("Successfully fetched device position: : ", state.position);
    } catch (caught) {
      if (caught instanceof ResourceNotFoundException) {
        console.error(
          `"The resource was not found: ${caught.message} \n Exiting program.`,
        );
      } else {
        `An unexpected error error occurred: ${caught.message} \n Exiting program.`;
      }
      return;
    }
  },
);
const displayCreateRouteCalc = new ScenarioOutput(
  "displayCreateRouteCalc",
  "8. Create a route calculator.",
);

const sdkCreateRouteCalc = new ScenarioAction(
  "sdkCreateRouteCalc",
  async (/** @type {State} */ state) => {
    const routeCalcParams = {
      CalculatorName: `${data.inputs.calculatorName}`,
      DataSource: "Esri",
    };
    try {
      // Creates a new route calculator with the specified name and data source.
      const command = new CreateRouteCalculatorCommand(routeCalcParams);
      const response = await locationClient.send(command);
      state.CalculatorName = response.CalculatorName;
      console.log(
        "Route calculator created successfully. Calculator name is: ",
        state.CalculatorName,
      );
    } catch (caught) {
      if (caught instanceof ConflictException) {
        console.error(
          `An conflict occurred: ${caught.message} \n Exiting program.`,
        );
        return;
      }
    }
  },
);
const displayDetermineDist = new ScenarioOutput(
  "displayDetermineDist",
  "9. Determine the distance between Seattle and Vancouver using the route calculator.",
);

const sdkDetermineDist = new ScenarioAction(
  "sdkDetermineDist",
  async (/** @type {State} */ state) => {
    // Calculates the distance between two locations asynchronously.
    const determineDist = {
      CalculatorName: `${data.inputs.calculatorName}`,
      DeparturePosition: [-122.3321, 47.6062],
      DestinationPosition: [-123.1216, 49.2827],
      TravelMode: "Car",
      DistanceUnit: "Kilometers",
    };
    try {
      const command = new CalculateRouteCommand(determineDist);
      const response = await locationClient.send(command);

      console.log(
        "Successfully calculated route. The distance in kilometers is : ",
        response.Summary.Distance,
      );
    } catch (caught) {
      if (caught instanceof ResourceNotFoundException) {
        console.error(
          `Failed to calculate route: ${caught.message} \n Exiting program.`,
        );
      }
      return;
    }
  },
);
const displayUseGeoPlacesClient = new ScenarioOutput(
  "displayUseGeoPlacesClient",
  "10. Use the GeoPlacesAsyncClient to perform additional operations. " +
    "This scenario will show use of the GeoPlacesClient that enables" +
    "location search and geocoding capabilities for your applications. " +
    "We are going to use this client to perform these AWS Location tasks: \n" +
    " - Reverse Geocoding (reverseGeocode): Converts geographic coordinates into addresses.\n " +
    " - Place Search (searchText): Finds places based on search queries.\n " +
    " - Nearby Search (searchNearby): Finds places near a specific location.\n " +
    "First we will perform a Reverse Geocoding operation",
);

const sdkUseGeoPlacesClient = new ScenarioAction(
  "sdkUseGeoPlacesClient",
  async (/** @type {State} */ state) => {
    const geoPlacesClient = new GeoPlacesClient({ region: region });

    const reverseGeoCodeParams = {
      QueryPosition: [-122.4194, 37.7749],
    };
    const searchTextParams = {
      QueryText: "coffee shop",
      BiasPosition: [-122.4194, 37.7749], //San Fransisco
    };
    const searchNearbyParams = {
      QueryPosition: [-122.4194, 37.7749],
      QueryRadius: Number("1000"),
    };
    try {
      /*   Performs reverse geocoding using the AWS Geo Places API.
     Reverse geocoding is the process of converting geographic coordinates (latitude and longitude) to a human-readable address.
     This method uses the latitude and longitude of San Francisco as the input, and prints the resulting address.*/

      console.log("Use latitude 37.7749 and longitude -122.4194.");
      const command = new ReverseGeocodeCommand(reverseGeoCodeParams);
      const response = await geoPlacesClient.send(command);
      console.log(
        "Successfully calculated route. The distance in kilometers is : ",
        response.ResultItems[0].Distance,
      );
    } catch (caught) {
      if (caught instanceof ValidationException) {
        console.error(
          `An conflict occurred: ${caught.message} \n Exiting program.`,
        );
        return;
      }
    }
    try {
      console.log(
        "Now we are going to perform a text search using coffee shop",
      );

      /*Searches for a place using the provided search query and prints the detailed information of the first result.
  @param searchTextParams the search query to be used for the place search (ex, coffee shop)*/

      const command = new SearchTextCommand(searchTextParams);
      const response = await geoPlacesClient.send(command);
      const placeId = response.ResultItems[0].PlaceId.toString();
      const getPlaceCommand = new GetPlaceCommand({
        PlaceId: placeId,
      });
      const getPlaceResponse = await geoPlacesClient.send(getPlaceCommand);
      console.log(
        `Detailed Place Information: \n Name and address: ${getPlaceResponse.Address.Label}`,
      );

      const foodTypes = getPlaceResponse.FoodTypes;
      if (foodTypes.length) {
        console.log("Food Types: ");
        for (const foodType of foodTypes) {
          console.log("- ", foodType.LocalizedName);
        }
      } else {
        console.log("No food types available.");
      }
    } catch (caught) {
      if (caught instanceof ValidationException) {
        console.error(
          `An conflict occurred: ${caught.message} \n Exiting program.`,
        );
        return;
      }
    }
    try {
      console.log("\nNow we are going to perform a nearby search.");
      const command = new SearchNearbyCommand(searchNearbyParams);
      const response = await geoPlacesClient.send(command);
      const resultItems = response.ResultItems;
      console.log("\nSuccessfully performed nearby search.");
      for (const resultItem of resultItems) {
        console.log("Name and address: ", resultItem.Address.Label);
        console.log("Distance: ", resultItem.Distance);
      }
    } catch (caught) {
      if (caught instanceof ValidationException) {
        console.error(
          `An conflict occurred: ${caught.message} \n Exiting program.`,
        );
        return;
      }
    }
  },
);

const displayDeleteResources = new ScenarioOutput(
  "displayDeleteResources",
  "11. Delete the AWS Location Services resources. " +
    "Would you like to delete the AWS Location Services resources? (y/n)",
);

const sdkDeleteResources = new ScenarioAction(
  "sdkDeleteResources",
  async (/** @type {State} */ state) => {
    const deleteGeofenceCollParams = {
      CollectionName: `${state.CollectionName}`,
    };
    const deleteRouteCalculatorParams = {
      CalculatorName: `${state.CalculatorName}`,
    };
    const deleteTrackerParams = { TrackerName: `${state.trackerName}` };
    const deleteMapParams = { MapName: `${state.MapName}` };
    try {
      const command = new DeleteMapCommand(deleteMapParams);
      const response = await locationClient.send(command);
      console.log("Map deleted.");
    } catch (error) {
      console.log("Error deleting map: ", error);
    }
    try {
      const command = new DeleteGeofenceCollectionCommand(
        deleteGeofenceCollParams,
      );
      const response = await locationClient.send(command);
      console.log("Geofence collection deleted.");
    } catch (error) {
      console.log("Error deleting geofence collection: ", error);
    }
    try {
      const command = new DeleteRouteCalculatorCommand(
        deleteRouteCalculatorParams,
      );
      const response = await locationClient.send(command);
      console.log("Route calculator deleted.");
    } catch (error) {
      console.log("Error deleting route calculator: ", error);
    }
    try {
      const command = new DeleteTrackerCommand(deleteTrackerParams);
      const response = await locationClient.send(command);
      console.log("Tracker deleted.");
    } catch (error) {
      console.log("Error deleting tracker: ", error);
    }
  },
);

const goodbye = new ScenarioOutput(
  "goodbye",
  "Thank you for checking out the Amazon Location Service Use demo. We hope you " +
    "learned something new, or got some inspiration for your own apps today!" +
    " For more Amazon Location Services examples in different programming languages, have a look at: " +
    "https://docs.aws.amazon.com/code-library/latest/ug/location_code_examples.html",
);

const myScenario = new Scenario("Location Services Scenario", [
  greet,
  pressEnter,
  displayCreateAMap,
  sdkCreateAMap,
  pressEnter,
  displayMapUrl,
  sdkDisplayMapUrl,
  pressEnter,
  displayCreateGeoFenceColl,
  sdkCreateGeoFenceColl,
  pressEnter,
  displayStoreGeometry,
  sdkStoreGeometry,
  pressEnter,
  displayCreateTracker,
  sdkCreateTracker,
  pressEnter,
  displayUpdatePosition,
  sdkUpdatePosition,
  pressEnter,
  displayRetrievePosition,
  sdkRetrievePosition,
  pressEnter,
  displayCreateRouteCalc,
  sdkCreateRouteCalc,
  pressEnter,
  displayDetermineDist,
  sdkDetermineDist,
  pressEnter,
  displayUseGeoPlacesClient,
  sdkUseGeoPlacesClient,
  pressEnter,
  displayDeleteResources,
  pressEnterConfirm,
  sdkDeleteResources,
  goodbye,
]);

/** @type {{ stepHandlerOptions: StepHandlerOptions }} */
export const main = async (stepHandlerOptions) => {
  await myScenario.run(stepHandlerOptions);
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const { values } = parseArgs({
    options: {
      yes: {
        type: "boolean",
        short: "y",
      },
    },
  });
  main({ confirmAll: values.yes });
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [BatchUpdateDevicePosition](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/BatchUpdateDevicePositionCommand)
  + [CalculateRoute](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CalculateRouteCommand)
  + [CreateGeofenceCollection](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateGeofenceCollectionCommand)
  + [CreateKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateKeyCommand)
  + [CreateMap](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateMapCommand)
  + [CreateRouteCalculator](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateRouteCalculatorCommand)
  + [CreateTracker](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateTrackerCommand)
  + [DeleteGeofenceCollection](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteGeofenceCollectionCommand)
  + [DeleteKey](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteKeyCommand)
  + [DeleteMap](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteMapCommand)
  + [DeleteRouteCalculator](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteRouteCalculatorCommand)
  + [DeleteTracker](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteTrackerCommand)
  + [GetDevicePosition](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/GetDevicePositionCommand)
  + [PutGeofence](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/PutGeofenceCommand)

## 動作
<a name="actions"></a>

### `BatchUpdateDevicePosition`
<a name="location_BatchUpdateDevicePosition_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `BatchUpdateDevicePosition`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  BatchUpdateDevicePositionCommand,
  LocationClient,
  ResourceNotFoundException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };
const region = "eu-west-1";
const locationClient = new LocationClient({ region: region });
const updateDevicePosParams = {
  TrackerName: `${data.inputs.trackerName}`,
  Updates: [
    {
      DeviceId: `${data.inputs.deviceId}`,
      SampleTime: new Date(),
      Position: [-122.4194, 37.7749],
    },
  ],
};
export const main = async () => {
  try {
    const command = new BatchUpdateDevicePositionCommand(updateDevicePosParams);
    const response = await locationClient.send(command);
    //console.log("response ", response.Errors[0].Error);

    console.log(
      `Device with id ${data.inputs.deviceId} was successfully updated in the location tracking system. `,
      response,
    );
  } catch (error) {
    console.log("error ", error);
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [BatchUpdateDevicePosition](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/BatchUpdateDevicePositionCommand)。

### `CalculateRoute`
<a name="location_CalculateRoute_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CalculateRoute`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  CalculateRouteCommand,
  ResourceNotFoundException,
  LocationClient,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";
const locationClient = new LocationClient({ region: region });

export const main = async () => {
  const routeCalcParams = {
    CalculatorName: `${data.inputs.calculatorName}`,
    DeparturePosition: [-122.3321, 47.6062],
    DestinationPosition: [-123.1216, 49.2827],
    TravelMode: "Car",
    DistanceUnit: "Kilometers",
  };
  try {
    const command = new CalculateRouteCommand(routeCalcParams);
    const response = await locationClient.send(command);

    console.log(
      "Successfully calculated route. The distance in kilometers is : ",
      response.Summary.Distance,
    );
  } catch (caught) {
    if (caught instanceof ResourceNotFoundException) {
      console.error(
        `An conflict occurred: ${caught.message} \n Exiting program.`,
      );
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CalculateRoute](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CalculateRouteCommand)。

### `CreateGeofenceCollection`
<a name="location_CreateGeofenceCollection_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateGeofenceCollection`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  ConflictException,
  CreateGeofenceCollectionCommand,
  LocationClient,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const geoFenceCollParams = {
    CollectionName: `${data.inputs.collectionName}`,
  };
  const locationClient = new LocationClient({ region: region });
  try {
    const command = new CreateGeofenceCollectionCommand(geoFenceCollParams);
    const response = await locationClient.send(command);
    console.log(
      "Collection created. Collection name is: ",
      response.CollectionName,
    );
  } catch (caught) {
    if (caught instanceof ConflictException) {
      console.error("A conflict occurred. Exiting program.");
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateGeofenceCollection](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateGeofenceCollectionCommand)。

### `CreateMap`
<a name="location_CreateMap_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateMap`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import { CreateMapCommand, LocationClient } from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const CreateMapCommandInput = {
    MapName: `${data.inputs.mapName}`,
    Configuration: { style: "VectorEsriNavigation" },
  };
  const locationClient = new LocationClient({ region: region });
  try {
    const command = new CreateMapCommand(CreateMapCommandInput);
    const response = await locationClient.send(command);
    console.log("Map created. Map ARN is : ", response.MapArn);
  } catch (error) {
    console.error("Error creating map: ", error);
    throw error;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateMap](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateMapCommand)。

### `CreateRouteCalculator`
<a name="location_CreateRouteCalculator_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateRouteCalculator`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  ConflictException,
  CreateRouteCalculatorCommand,
  LocationClient,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";
const locationClient = new LocationClient({ region: region });

export const main = async () => {
  const routeCalcParams = {
    CalculatorName: `${data.inputs.calculatorName}`,
    DataSource: "Esri",
  };
  try {
    const command = new CreateRouteCalculatorCommand(routeCalcParams);
    const response = await locationClient.send(command);

    console.log(
      "Route calculator created successfully. Calculator name is ",
      response.CalculatorName,
    );
  } catch (caught) {
    if (caught instanceof ConflictException) {
      console.error(
        `An conflict occurred: ${caught.message} \n Exiting program.`,
      );
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateRouteCalculator](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateRouteCalculatorCommand)。

### `CreateTracker`
<a name="location_CreateTracker_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateTracker`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import { CreateTrackerCommand, LocationClient } from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const createTrackerParams = {
    TrackerName: `${data.inputs.trackerName}`,
  };
  const locationClient = new LocationClient({ region: region });
  try {
    const command = new CreateTrackerCommand(createTrackerParams);
    const response = await locationClient.send(command);
    //state.trackerName - response.TrackerName;
    console.log("Tracker created. Tracker name is : ", response.TrackerName);
  } catch (error) {
    console.error("Error creating map: ", error);
    throw error;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateTracker](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/CreateTrackerCommand)。

### `DeleteGeofenceCollection`
<a name="location_DeleteGeofenceCollection_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteGeofenceCollection`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  DeleteGeofenceCollectionCommand,
  LocationClient,
  ResourceNotFoundException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const deleteGeofenceCollParams = {
    CollectionName: `${data.inputs.collectionName}`,
  };
  const locationClient = new LocationClient({ region: region });
  try {
    const command = new DeleteGeofenceCollectionCommand(
      deleteGeofenceCollParams,
    );
    const response = await locationClient.send(command);
    console.log("Collection deleted.");
  } catch (caught) {
    if (caught instanceof ResourceNotFoundException) {
      console.error(
        `${data.inputs.collectionName} Geofence collection not found.`,
      );
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteGeofenceCollection](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteGeofenceCollectionCommand)。

### `DeleteMap`
<a name="location_DeleteMap_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteMap`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  DeleteMapCommand,
  LocationClient,
  ResourceNotFoundException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const deleteMapParams = {
    MapName: `${data.inputs.mapName}`,
  };
  try {
    const locationClient = new LocationClient({ region: region });
    const command = new DeleteMapCommand(deleteMapParams);
    const response = await locationClient.send(command);
    console.log("Map deleted.");
  } catch (caught) {
    if (caught instanceof ResourceNotFoundException) {
      console.error(`${data.inputs.mapName} map not found.`);
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteMap](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteMapCommand)。

### `DeleteRouteCalculator`
<a name="location_DeleteRouteCalculator_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteRouteCalculator`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  DeleteRouteCalculatorCommand,
  LocationClient,
  ResourceNotFoundException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const deleteRouteCalculatorParams = {
    CalculatorName: `${data.inputs.calculatorName}`,
  };
  try {
    const locationClient = new LocationClient({ region: region });
    const command = new DeleteRouteCalculatorCommand(
      deleteRouteCalculatorParams,
    );
    const response = await locationClient.send(command);
    console.log("Route calculator deleted.");
  } catch (caught) {
    if (caught instanceof ResourceNotFoundException) {
      console.error(
        `${data.inputs.calculatorName} route calculator not found.`,
      );
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteRouteCalculator](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteRouteCalculatorCommand)。

### `DeleteTracker`
<a name="location_DeleteTracker_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTracker`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  DeleteTrackerCommand,
  LocationClient,
  ResourceNotFoundException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const deleteTrackerParams = {
    TrackerName: `${data.inputs.trackerName}`,
  };
  try {
    const locationClient = new LocationClient({ region: region });
    const command = new DeleteTrackerCommand(deleteTrackerParams);
    const response = await locationClient.send(command);
    console.log("Tracker deleted.");
  } catch (caught) {
    if (caught instanceof ResourceNotFoundException) {
      console.error(`${data.inputs.trackerName} tracker not found.`);
      return;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteTracker](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/DeleteTrackerCommand)。

### `GetDevicePosition`
<a name="location_GetDevicePosition_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetDevicePosition`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  GetDevicePositionCommand,
  LocationClient,
  ResourceNotFoundException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";

export const main = async () => {
  const locationClient = new LocationClient({ region: region });
  const deviceId = `${data.inputs.deviceId}`;
  const trackerName = `${data.inputs.trackerName}`;

  const devicePositionParams = {
    DeviceId: deviceId,
    TrackerName: trackerName,
  };
  try {
    const command = new GetDevicePositionCommand(devicePositionParams);
    const response = await locationClient.send(command);
    //state.position = response.position;
    console.log("Successfully fetched device position: ", response);
  } catch (error) {
    console.log("Error ", error);
    /*  if (caught instanceof ResourceNotFoundException) {
      console.error(
        `"The resource was not found: ${caught.message} \n Exiting program.`,
      );
    } else {
      `An unexpected error error occurred: ${caught.message} \n Exiting program.`;
    }
    return;*/
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetDevicePosition](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/GetDevicePositionCommand)。

### `PutGeofence`
<a name="location_PutGeofence_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutGeofence`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/location/actions#code-examples)中設定和執行。

```
import { fileURLToPath } from "node:url";
import {
  PutGeofenceCommand,
  LocationClient,
  ValidationException,
} from "@aws-sdk/client-location";
import data from "./inputs.json" with { type: "json" };

const region = "eu-west-1";
const locationClient = new LocationClient({ region: region });
export const main = async () => {
  const geoFenceGeoParams = {
    CollectionName: `${data.inputs.collectionName}`,
    GeofenceId: `${data.inputs.geoId}`,
    Geometry: {
      Polygon: [
        [
          [-122.3381, 47.6101],
          [-122.3281, 47.6101],
          [-122.3281, 47.6201],
          [-122.3381, 47.6201],
          [-122.3381, 47.6101],
        ],
      ],
    },
  };
  try {
    const command = new PutGeofenceCommand(geoFenceGeoParams);
    const response = await locationClient.send(command);
    console.log("GeoFence created. GeoFence ID is: ", response.GeofenceId);
  } catch (error) {
    console.error(
      `A validation error occurred while creating geofence: ${error} \n Exiting program.`,
    );
    return;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutGeofence](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/location/command/PutGeofenceCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon MSK 範例
<a name="javascript_3_kafka_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon MSK 來執行動作和實作常見案例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [無伺服器範例](#serverless_examples)

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 Amazon MSK 觸發條件調用 Lambda 函數
<a name="serverless_MSK_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 Amazon MSK 叢集的記錄來接收所觸發的事件。函數會擷取 MSK 承載並記下記錄內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-msk-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來取用 Amazon MSK 事件。  

```
exports.handler = async (event) => {
    // Iterate through keys
    for (let key in event.records) {
      console.log('Key: ', key)
      // Iterate through records
      event.records[key].map((record) => {
        console.log('Record: ', record)
        // Decode base64
        const msg = Buffer.from(record.value, 'base64').toString()
        console.log('Message:', msg)
      }) 
    }
}
```
搭配 Lambda 使用 TypeScript 來取用 Amazon MSK 事件。  

```
import { MSKEvent, Context } from "aws-lambda";
import { Buffer } from "buffer";
import { Logger } from "@aws-lambda-powertools/logger";

const logger = new Logger({
  logLevel: "INFO",
  serviceName: "msk-handler-sample",
});

export const handler = async (
  event: MSKEvent,
  context: Context
): Promise<void> => {
  for (const [topic, topicRecords] of Object.entries(event.records)) {
    logger.info(`Processing key: ${topic}`);

    // Process each record in the partition
    for (const record of topicRecords) {
      try {
        // Decode the message value from base64
        const decodedMessage = Buffer.from(record.value, 'base64').toString();

        logger.info({
          message: decodedMessage
        });
      }
      catch (error) {
        logger.error('Error processing event', { error });
        throw error;
      }
    };
  }
}
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Personalize 範例
<a name="javascript_3_personalize_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Personalize 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `CreateBatchInferenceJob`
<a name="personalize_CreateBatchInferenceJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateBatchInferenceJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateBatchInferenceJobCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the batch inference job's parameters.

export const createBatchInferenceJobParam = {
  jobName: "JOB_NAME",
  jobInput: {
    s3DataSource: {
      path: "INPUT_PATH",
    },
  },
  jobOutput: {
    s3DataDestination: {
      path: "OUTPUT_PATH",
    },
  },
  roleArn: "ROLE_ARN",
  solutionVersionArn: "SOLUTION_VERSION_ARN",
  numResults: 20,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateBatchInferenceJobCommand(createBatchInferenceJobParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateBatchInferenceJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateBatchInferenceJobCommand)。

### `CreateBatchSegmentJob`
<a name="personalize_CreateBatchSegmentJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateBatchSegmentJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateBatchSegmentJobCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the batch segment job's parameters.

export const createBatchSegmentJobParam = {
  jobName: "NAME",
  jobInput: {
    s3DataSource: {
      path: "INPUT_PATH",
    },
  },
  jobOutput: {
    s3DataDestination: {
      path: "OUTPUT_PATH",
    },
  },
  roleArn: "ROLE_ARN",
  solutionVersionArn: "SOLUTION_VERSION_ARN",
  numResults: 20,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateBatchSegmentJobCommand(createBatchSegmentJobParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateBatchSegmentJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateBatchSegmentJobCommand)。

### `CreateCampaign`
<a name="personalize_CreateCampaign_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateCampaign`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.

import { CreateCampaignCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the campaign's parameters.
export const createCampaignParam = {
  solutionVersionArn: "SOLUTION_VERSION_ARN" /* required */,
  name: "NAME" /* required */,
  minProvisionedTPS: 1 /* optional integer */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateCampaignCommand(createCampaignParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [CreateCampaign](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateCampaignCommand)。

### `CreateDataset`
<a name="personalize_CreateDataset_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateDataset`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateDatasetCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the dataset's parameters.
export const createDatasetParam = {
  datasetGroupArn: "DATASET_GROUP_ARN" /* required */,
  datasetType: "DATASET_TYPE" /* required */,
  name: "NAME" /* required */,
  schemaArn: "SCHEMA_ARN" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateDatasetCommand(createDatasetParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateDataset](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateDatasetCommand)。

### `CreateDatasetExportJob`
<a name="personalize_CreateDatasetExportJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateDatasetExportJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateDatasetExportJobCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the export job parameters.
export const datasetExportJobParam = {
  datasetArn: "DATASET_ARN" /* required */,
  jobOutput: {
    s3DataDestination: {
      path: "S3_DESTINATION_PATH" /* required */,
      //kmsKeyArn: 'ARN'  /* include if your bucket uses AWS KMS for encryption
    },
  },
  jobName: "NAME" /* required */,
  roleArn: "ROLE_ARN" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateDatasetExportJobCommand(datasetExportJobParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateDatasetExportJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateDatasetExportJobCommand)。

### `CreateDatasetGroup`
<a name="personalize_CreateDatasetGroup_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateDatasetGroup`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.

import { CreateDatasetGroupCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the dataset group parameters.
export const createDatasetGroupParam = {
  name: "NAME" /* required */,
};

export const run = async (createDatasetGroupParam) => {
  try {
    const response = await personalizeClient.send(
      new CreateDatasetGroupCommand(createDatasetGroupParam),
    );
    console.log("Success", response);
    return "Run successfully"; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run(createDatasetGroupParam);
```
建立網域資料集群組。  

```
// Get service clients module and commands using ES6 syntax.
import { CreateDatasetGroupCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the domain dataset group parameters.
export const domainDatasetGroupParams = {
  name: "NAME" /* required */,
  domain:
    "DOMAIN" /* required for a domain dsg, specify ECOMMERCE or VIDEO_ON_DEMAND */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateDatasetGroupCommand(domainDatasetGroupParams),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateDatasetGroup](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateDatasetGroupCommand)。

### `CreateDatasetImportJob`
<a name="personalize_CreateDatasetImportJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateDatasetImportJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateDatasetImportJobCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the dataset import job parameters.
export const datasetImportJobParam = {
  datasetArn: "DATASET_ARN" /* required */,
  dataSource: {
    /* required */
    dataLocation: "S3_PATH",
  },
  jobName: "NAME" /* required */,
  roleArn: "ROLE_ARN" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateDatasetImportJobCommand(datasetImportJobParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateDatasetImportJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateDatasetImportJobCommand)。

### `CreateEventTracker`
<a name="personalize_CreateEventTracker_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateEventTracker`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateEventTrackerCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the event tracker's parameters.
export const createEventTrackerParam = {
  datasetGroupArn: "DATASET_GROUP_ARN" /* required */,
  name: "NAME" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateEventTrackerCommand(createEventTrackerParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateEventTracker](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateEventTrackerCommand)。

### `CreateFilter`
<a name="personalize_CreateFilter_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateFilter`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateFilterCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the filter's parameters.
export const createFilterParam = {
  datasetGroupArn: "DATASET_GROUP_ARN" /* required */,
  name: "NAME" /* required */,
  filterExpression: "FILTER_EXPRESSION" /*required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateFilterCommand(createFilterParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateFilter](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateFilterCommand)。

### `CreateRecommender`
<a name="personalize_CreateRecommender_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateRecommender`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateRecommenderCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the recommender's parameters.
export const createRecommenderParam = {
  name: "NAME" /* required */,
  recipeArn: "RECIPE_ARN" /* required */,
  datasetGroupArn: "DATASET_GROUP_ARN" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateRecommenderCommand(createRecommenderParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateRecommender](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateRecommenderCommand)。

### `CreateSchema`
<a name="personalize_CreateSchema_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateSchema`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateSchemaCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

import fs from "node:fs";

const schemaFilePath = "SCHEMA_PATH";
let mySchema = "";

try {
  mySchema = fs.readFileSync(schemaFilePath).toString();
} catch (err) {
  mySchema = "TEST"; // For unit tests.
}
// Set the schema parameters.
export const createSchemaParam = {
  name: "NAME" /* required */,
  schema: mySchema /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateSchemaCommand(createSchemaParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
使用網域建立結構描述。  

```
// Get service clients module and commands using ES6 syntax.
import { CreateSchemaCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";

// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

import fs from "node:fs";

const schemaFilePath = "SCHEMA_PATH";
let mySchema = "";

try {
  mySchema = fs.readFileSync(schemaFilePath).toString();
} catch (err) {
  mySchema = "TEST"; // for unit tests.
}

// Set the domain schema parameters.
export const createDomainSchemaParam = {
  name: "NAME" /* required */,
  schema: mySchema /* required */,
  domain:
    "DOMAIN" /* required for a domain dataset group, specify ECOMMERCE or VIDEO_ON_DEMAND */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateSchemaCommand(createDomainSchemaParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateSchema](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateSchemaCommand)。

### `CreateSolution`
<a name="personalize_CreateSolution_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateSolution`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateSolutionCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the solution parameters.
export const createSolutionParam = {
  datasetGroupArn: "DATASET_GROUP_ARN" /* required */,
  recipeArn: "RECIPE_ARN" /* required */,
  name: "NAME" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateSolutionCommand(createSolutionParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateSolution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateSolutionCommand)。

### `CreateSolutionVersion`
<a name="personalize_CreateSolutionVersion_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateSolutionVersion`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { CreateSolutionVersionCommand } from "@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});

// Set the solution version parameters.
export const solutionVersionParam = {
  solutionArn: "SOLUTION_ARN" /* required */,
};

export const run = async () => {
  try {
    const response = await personalizeClient.send(
      new CreateSolutionVersionCommand(solutionVersionParam),
    );
    console.log("Success", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateSolutionVersion](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize/command/CreateSolutionVersionCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Personalize Events 範例
<a name="javascript_3_personalize-events_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Personalize Events 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `PutEvents`
<a name="personalize-events_PutEvents_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutEvents`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { PutEventsCommand } from "@aws-sdk/client-personalize-events";
import { personalizeEventsClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeEventsClient = new PersonalizeEventsClient({ region: "REGION"});

// Convert your UNIX timestamp to a Date.
const sentAtDate = new Date(1613443801 * 1000); // 1613443801 is a testing value. Replace it with your sentAt timestamp in UNIX format.

// Set put events parameters.
const putEventsParam = {
  eventList: [
    /* required */
    {
      eventType: "EVENT_TYPE" /* required */,
      sentAt: sentAtDate /* required, must be a Date with js */,
      eventId: "EVENT_ID" /* optional */,
      itemId: "ITEM_ID" /* optional */,
    },
  ],
  sessionId: "SESSION_ID" /* required */,
  trackingId: "TRACKING_ID" /* required */,
  userId: "USER_ID" /* required */,
};
export const run = async () => {
  try {
    const response = await personalizeEventsClient.send(
      new PutEventsCommand(putEventsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutEvents](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize-events/command/PutEventsCommand)。

### `PutItems`
<a name="personalize-events_PutItems_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutItems`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { PutItemsCommand } from "@aws-sdk/client-personalize-events";
import { personalizeEventsClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeEventsClient = new PersonalizeEventsClient({ region: "REGION"});

// Set the put items parameters. For string properties and values, use the \ character to escape quotes.
const putItemsParam = {
  datasetArn: "DATASET_ARN" /* required */,
  items: [
    /* required */
    {
      itemId: "ITEM_ID" /*  required */,
      properties:
        '{"PROPERTY1_NAME": "PROPERTY1_VALUE", "PROPERTY2_NAME": "PROPERTY2_VALUE", "PROPERTY3_NAME": "PROPERTY3_VALUE"}' /* optional */,
    },
  ],
};
export const run = async () => {
  try {
    const response = await personalizeEventsClient.send(
      new PutItemsCommand(putItemsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutItems](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize-events/command/PutItemsCommand)。

### `PutUsers`
<a name="personalize-events_PutUsers_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutUsers`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { PutUsersCommand } from "@aws-sdk/client-personalize-events";
import { personalizeEventsClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeEventsClient = new PersonalizeEventsClient({ region: "REGION"});

// Set the put users parameters. For string properties and values, use the \ character to escape quotes.
const putUsersParam = {
  datasetArn: "DATASET_ARN",
  users: [
    {
      userId: "USER_ID",
      properties: '{"PROPERTY1_NAME": "PROPERTY1_VALUE"}',
    },
  ],
};
export const run = async () => {
  try {
    const response = await personalizeEventsClient.send(
      new PutUsersCommand(putUsersParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutUsers](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize-events/command/PutUsersCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Personalize 執行時期範例
<a name="javascript_3_personalize-runtime_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Personalize 執行期來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `GetPersonalizedRanking`
<a name="personalize-runtime_GetPersonalizedRanking_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetPersonalizedRanking`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { GetPersonalizedRankingCommand } from "@aws-sdk/client-personalize-runtime";
import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set the ranking request parameters.
export const getPersonalizedRankingParam = {
  campaignArn: "CAMPAIGN_ARN" /* required */,
  userId: "USER_ID" /* required */,
  inputList: ["ITEM_ID_1", "ITEM_ID_2", "ITEM_ID_3", "ITEM_ID_4"],
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetPersonalizedRankingCommand(getPersonalizedRankingParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetPersonalizedRanking](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize-runtime/command/GetPersonalizedRankingCommand)。

### `GetRecommendations`
<a name="personalize-runtime_GetRecommendations_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetRecommendations`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples)中設定和執行。

```
// Get service clients module and commands using ES6 syntax.
import { GetRecommendationsCommand } from "@aws-sdk/client-personalize-runtime";

import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set the recommendation request parameters.
export const getRecommendationsParam = {
  campaignArn: "CAMPAIGN_ARN" /* required */,
  userId: "USER_ID" /* required */,
  numResults: 15 /* optional */,
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetRecommendationsCommand(getRecommendationsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
使用篩選條件取得建議 (自訂資料集群組)。  

```
// Get service clients module and commands using ES6 syntax.
import { GetRecommendationsCommand } from "@aws-sdk/client-personalize-runtime";
import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set the recommendation request parameters.
export const getRecommendationsParam = {
  recommenderArn: "RECOMMENDER_ARN" /* required */,
  userId: "USER_ID" /* required */,
  numResults: 15 /* optional */,
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetRecommendationsCommand(getRecommendationsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
從網域資料集群組中建立的建議者取得篩選建議。  

```
// Get service clients module and commands using ES6 syntax.
import { GetRecommendationsCommand } from "@aws-sdk/client-personalize-runtime";
import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here:
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set recommendation request parameters.
export const getRecommendationsParam = {
  campaignArn: "CAMPAIGN_ARN" /* required */,
  userId: "USER_ID" /* required */,
  numResults: 15 /* optional */,
  filterArn: "FILTER_ARN" /* required to filter recommendations */,
  filterValues: {
    PROPERTY:
      '"VALUE"' /* Only required if your filter has a placeholder parameter */,
  },
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetRecommendationsCommand(getRecommendationsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetRecommendations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize-runtime/command/GetRecommendationsCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Pinpoint 範例
<a name="javascript_3_pinpoint_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Pinpoint 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `SendMessages`
<a name="pinpoint_SendMessages_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendMessages`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/pinpoint#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { PinpointClient } from "@aws-sdk/client-pinpoint";
// Set the AWS Region.
const REGION = "us-east-1";
export const pinClient = new PinpointClient({ region: REGION });
```
傳送電子郵件訊息。  

```
// Import required AWS SDK clients and commands for Node.js
import { SendMessagesCommand } from "@aws-sdk/client-pinpoint";
import { pinClient } from "./libs/pinClient.js";

// The FromAddress must be verified in SES.
const fromAddress = "FROM_ADDRESS";
const toAddress = "TO_ADDRESS";
const projectId = "PINPOINT_PROJECT_ID";

// The subject line of the email.
const subject = "Amazon Pinpoint Test (AWS SDK for JavaScript in Node.js)";

// The email body for recipients with non-HTML email clients.
const body_text = `Amazon Pinpoint Test (SDK for JavaScript in Node.js)
----------------------------------------------------
This email was sent with Amazon Pinpoint using the AWS SDK for JavaScript in Node.js.
For more information, see https://aws.amazon.com/sdk-for-node-js/`;

// The body of the email for recipients whose email clients support HTML content.
const body_html = `<html>
<head></head>
<body>
  <h1>Amazon Pinpoint Test (SDK for JavaScript in Node.js)</h1>
  <p>This email was sent with
    <a href='https://aws.amazon.com/pinpoint/'>the Amazon Pinpoint Email API</a> using the
    <a href='https://aws.amazon.com/sdk-for-node-js/'>
      AWS SDK for JavaScript in Node.js</a>.</p>
</body>
</html>`;

// The character encoding for the subject line and message body of the email.
const charset = "UTF-8";

const params = {
  ApplicationId: projectId,
  MessageRequest: {
    Addresses: {
      [toAddress]: {
        ChannelType: "EMAIL",
      },
    },
    MessageConfiguration: {
      EmailMessage: {
        FromAddress: fromAddress,
        SimpleEmail: {
          Subject: {
            Charset: charset,
            Data: subject,
          },
          HtmlPart: {
            Charset: charset,
            Data: body_html,
          },
          TextPart: {
            Charset: charset,
            Data: body_text,
          },
        },
      },
    },
  },
};

const run = async () => {
  try {
    const { MessageResponse } = await pinClient.send(
      new SendMessagesCommand(params),
    );

    if (!MessageResponse) {
      throw new Error("No message response.");
    }

    if (!MessageResponse.Result) {
      throw new Error("No message result.");
    }

    const recipientResult = MessageResponse.Result[toAddress];

    if (recipientResult.StatusCode !== 200) {
      throw new Error(recipientResult.StatusMessage);
    }
    console.log(recipientResult.MessageId);
  } catch (err) {
    console.log(err.message);
  }
};

run();
```
傳送一則 SMS 訊息。  

```
// Import required AWS SDK clients and commands for Node.js
import { SendMessagesCommand } from "@aws-sdk/client-pinpoint";
import { pinClient } from "./libs/pinClient.js";

/* The phone number or short code to send the message from. The phone number
 or short code that you specify has to be associated with your Amazon Pinpoint
account. For best results, specify long codes in E.164 format. */
const originationNumber = "SENDER_NUMBER"; //e.g., +1XXXXXXXXXX

// The recipient's phone number.  For best results, you should specify the phone number in E.164 format.
const destinationNumber = "RECEIVER_NUMBER"; //e.g., +1XXXXXXXXXX

// The content of the SMS message.
const message =
  "This message was sent through Amazon Pinpoint " +
  "using the AWS SDK for JavaScript in Node.js. Reply STOP to " +
  "opt out.";

/*The Amazon Pinpoint project/application ID to use when you send this message.
Make sure that the SMS channel is enabled for the project or application
that you choose.*/
const projectId = "PINPOINT_PROJECT_ID"; //e.g., XXXXXXXX66e4e9986478cXXXXXXXXX

/* The type of SMS message that you want to send. If you plan to send
time-sensitive content, specify TRANSACTIONAL. If you plan to send
marketing-related content, specify PROMOTIONAL.*/
const messageType = "TRANSACTIONAL";

// The registered keyword associated with the originating short code.
const registeredKeyword = "myKeyword";

/* The sender ID to use when sending the message. Support for sender ID
// varies by country or region. For more information, see
https://docs.aws.amazon.com/pinpoint/latest/userguide/channels-sms-countries.html.*/

const senderId = "MySenderID";

// Specify the parameters to pass to the API.
const params = {
  ApplicationId: projectId,
  MessageRequest: {
    Addresses: {
      [destinationNumber]: {
        ChannelType: "SMS",
      },
    },
    MessageConfiguration: {
      SMSMessage: {
        Body: message,
        Keyword: registeredKeyword,
        MessageType: messageType,
        OriginationNumber: originationNumber,
        SenderId: senderId,
      },
    },
  },
};

const run = async () => {
  try {
    const data = await pinClient.send(new SendMessagesCommand(params));
    console.log(
      `Message sent! ${data.MessageResponse.Result[destinationNumber].StatusMessage}`,
    );
  } catch (err) {
    console.log(err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [SendMessages](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/pinpoint/command/SendMessagesCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Polly 範例
<a name="javascript_3_polly_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Polly 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立應用程式以分析客戶意見回饋
<a name="cross_FSA_javascript_3_topic"></a>

下列程式碼範例會示範如何建立可分析客戶評論卡、從其原始語言進行翻譯、判斷對方情緒，以及透過翻譯後的文字產生音訊檔案的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 此範例應用程式會分析和存儲客戶的意見回饋卡。具體來說，它滿足了紐約市一家虛構飯店的需求。飯店以實體評論卡的形式收到賓客以各種語言撰寫的意見回饋。這些意見回饋透過 Web 用戶端上傳至應用程式。評論卡的影像上傳後，系統會執行下列步驟：  
+ 文字內容是使用 Amazon Textract 從影像中擷取。
+ Amazon Comprehend 會決定擷取文字及其用語的情感。
+ 擷取的文字內容會使用 Amazon Translate 翻譯成英文。
+ Amazon Polly 會使用擷取的文字內容合成音訊檔案。
 完整的應用程式可透過  AWS CDK 部署。如需原始程式碼和部署的說明，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer) 中的專案。以下摘錄顯示如何在 Lambda 函數內 適用於 JavaScript 的 AWS SDK 使用 。  

```
import {
  ComprehendClient,
  DetectDominantLanguageCommand,
  DetectSentimentCommand,
} from "@aws-sdk/client-comprehend";

/**
 * Determine the language and sentiment of the extracted text.
 *
 * @param {{ source_text: string}} extractTextOutput
 */
export const handler = async (extractTextOutput) => {
  const comprehendClient = new ComprehendClient({});

  const detectDominantLanguageCommand = new DetectDominantLanguageCommand({
    Text: extractTextOutput.source_text,
  });

  // The source language is required for sentiment analysis and
  // translation in the next step.
  const { Languages } = await comprehendClient.send(
    detectDominantLanguageCommand,
  );

  const languageCode = Languages[0].LanguageCode;

  const detectSentimentCommand = new DetectSentimentCommand({
    Text: extractTextOutput.source_text,
    LanguageCode: languageCode,
  });

  const { Sentiment } = await comprehendClient.send(detectSentimentCommand);

  return {
    sentiment: Sentiment,
    language_code: languageCode,
  };
};
```

```
import {
  DetectDocumentTextCommand,
  TextractClient,
} from "@aws-sdk/client-textract";

/**
 * Fetch the S3 object from the event and analyze it using Amazon Textract.
 *
 * @param {import("@types/aws-lambda").EventBridgeEvent<"Object Created">} eventBridgeS3Event
 */
export const handler = async (eventBridgeS3Event) => {
  const textractClient = new TextractClient();

  const detectDocumentTextCommand = new DetectDocumentTextCommand({
    Document: {
      S3Object: {
        Bucket: eventBridgeS3Event.bucket,
        Name: eventBridgeS3Event.object,
      },
    },
  });

  // Textract returns a list of blocks. A block can be a line, a page, word, etc.
  // Each block also contains geometry of the detected text.
  // For more information on the Block type, see https://docs.aws.amazon.com/textract/latest/dg/API_Block.html.
  const { Blocks } = await textractClient.send(detectDocumentTextCommand);

  // For the purpose of this example, we are only interested in words.
  const extractedWords = Blocks.filter((b) => b.BlockType === "WORD").map(
    (b) => b.Text,
  );

  return extractedWords.join(" ");
};
```

```
import { PollyClient, SynthesizeSpeechCommand } from "@aws-sdk/client-polly";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

/**
 * Synthesize an audio file from text.
 *
 * @param {{ bucket: string, translated_text: string, object: string}} sourceDestinationConfig
 */
export const handler = async (sourceDestinationConfig) => {
  const pollyClient = new PollyClient({});

  const synthesizeSpeechCommand = new SynthesizeSpeechCommand({
    Engine: "neural",
    Text: sourceDestinationConfig.translated_text,
    VoiceId: "Ruth",
    OutputFormat: "mp3",
  });

  const { AudioStream } = await pollyClient.send(synthesizeSpeechCommand);

  const audioKey = `${sourceDestinationConfig.object}.mp3`;

  // Store the audio file in S3.
  const s3Client = new S3Client();
  const upload = new Upload({
    client: s3Client,
    params: {
      Bucket: sourceDestinationConfig.bucket,
      Key: audioKey,
      Body: AudioStream,
      ContentType: "audio/mp3",
    },
  });

  await upload.done();
  return audioKey;
};
```

```
import {
  TranslateClient,
  TranslateTextCommand,
} from "@aws-sdk/client-translate";

/**
 * Translate the extracted text to English.
 *
 * @param {{ extracted_text: string, source_language_code: string}} textAndSourceLanguage
 */
export const handler = async (textAndSourceLanguage) => {
  const translateClient = new TranslateClient({});

  const translateCommand = new TranslateTextCommand({
    SourceLanguageCode: textAndSourceLanguage.source_language_code,
    TargetLanguageCode: "en",
    Text: textAndSourceLanguage.extracted_text,
  });

  const { TranslatedText } = await translateClient.send(translateCommand);

  return { translated_text: TranslatedText };
};
```

**此範例中使用的服務**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon RDS 範例
<a name="javascript_3_rds_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon RDS 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)
+ [無伺服器範例](#serverless_examples)

## 案例
<a name="scenarios"></a>

### 建立 Aurora 無伺服器工作項目追蹤器
<a name="cross_RDSDataTracker_javascript_3_topic"></a>

下列程式碼示範如何建立一個 Web 應用程式，該應用程式會追蹤 Amazon Aurora Serverless 資料庫中的工作項目，並使用 Amazon Simple Email Service (Amazon SES) 傳送報告。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 建立 Web 應用程式，以使用 Amazon Simple Email Service (Amazon SES) 追蹤 Amazon Aurora 資料庫中的工作項目和電子郵件報告。這個範例使用以 React.js 建置的前端與 Express Node.js 後端互動。  
+ 將 React.js Web 應用程式與 整合。 AWS 服務
+ 列出、新增和更新 Aurora 資料表中的項目。
+ 使用 Amazon SES 傳送篩選工作項目的電子郵件報告。
+ 使用隨附的 AWS CloudFormation 指令碼部署和管理範例資源。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/aurora-serverless-app) 上的完整範例。  

**此範例中使用的服務**
+ Aurora
+ Amazon RDS
+ Amazon RDS 資料服務
+ Amazon SES

## 無伺服器範例
<a name="serverless_examples"></a>

### 連線至 Lambda 函數中的 Amazon RDS 資料庫
<a name="serverless_connect_RDS_Lambda_javascript_3_topic"></a>

以下程式碼範例示範如何實作連線至 RDS 資料庫的 Lambda 函式。該函數會提出簡單的資料庫請求並傳回結果。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-connect-rds-iam)儲存庫中設定和執行。
使用 JavaScript 連線至 Lambda 函數中的 Amazon RDS 資料庫。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
/* 
Node.js code here.
*/
// ES6+ example
import { Signer } from "@aws-sdk/rds-signer";
import mysql from 'mysql2/promise';

async function createAuthToken() {
  // Define connection authentication parameters
  const dbinfo = {

    hostname: process.env.ProxyHostName,
    port: process.env.Port,
    username: process.env.DBUserName,
    region: process.env.AWS_REGION,

  }

  // Create RDS Signer object
  const signer = new Signer(dbinfo);

  // Request authorization token from RDS, specifying the username
  const token = await signer.getAuthToken();
  return token;
}

async function dbOps() {

  // Obtain auth token
  const token = await createAuthToken();
  // Define connection configuration
  let connectionConfig = {
    host: process.env.ProxyHostName,
    user: process.env.DBUserName,
    password: token,
    database: process.env.DBName,
    ssl: 'Amazon RDS'
  }
  // Create the connection to the DB
  const conn = await mysql.createConnection(connectionConfig);
  // Obtain the result of the query
  const [res,] = await conn.execute('select ?+? as sum', [3, 2]);
  return res;

}

export const handler = async (event) => {
  // Execute database flow
  const result = await dbOps();
  // Return result
  return {
    statusCode: 200,
    body: JSON.stringify("The selected sum is: " + result[0].sum)
  }
};
```
使用 TypeScript 連線至 Lambda 函數中的 Amazon RDS 資料庫。  

```
import { Signer } from "@aws-sdk/rds-signer";
import mysql from 'mysql2/promise';

// RDS settings
// Using '!' (non-null assertion operator) to tell the TypeScript compiler that the DB settings are not null or undefined,
const proxy_host_name = process.env.PROXY_HOST_NAME!
const port = parseInt(process.env.PORT!)
const db_name = process.env.DB_NAME!
const db_user_name = process.env.DB_USER_NAME!
const aws_region = process.env.AWS_REGION!


async function createAuthToken(): Promise<string> {

    // Create RDS Signer object
    const signer = new Signer({
        hostname: proxy_host_name,
        port: port,
        region: aws_region,
        username: db_user_name
    });

    // Request authorization token from RDS, specifying the username
    const token = await signer.getAuthToken();
    return token;
}

async function dbOps(): Promise<mysql.QueryResult | undefined> {
    try {
        // Obtain auth token
        const token = await createAuthToken();
        const conn = await mysql.createConnection({
            host: proxy_host_name,
            user: db_user_name,
            password: token,
            database: db_name,
            ssl: 'Amazon RDS' // Ensure you have the CA bundle for SSL connection
        });
        const [rows, fields] = await conn.execute('SELECT ? + ? AS sum', [3, 2]);
        console.log('result:', rows);
        return rows;
    }
    catch (err) {
        console.log(err);
    }
}

export const lambdaHandler = async (event: any): Promise<{ statusCode: number; body: string }> => {
    // Execute database flow
    const result = await dbOps();

    // Return error is result is undefined
    if (result == undefined)
        return {
            statusCode: 500,
            body: JSON.stringify(`Error with connection to DB host`)
        }

    // Return result
    return {
        statusCode: 200,
        body: JSON.stringify(`The selected sum is: ${result[0].sum}`)
    };
};
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon RDS Data Service 範例
<a name="javascript_3_rds-data_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon RDS Data Service 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立 Aurora 無伺服器工作項目追蹤器
<a name="cross_RDSDataTracker_javascript_3_topic"></a>

下列程式碼示範如何建立一個 Web 應用程式，該應用程式會追蹤 Amazon Aurora Serverless 資料庫中的工作項目，並使用 Amazon Simple Email Service (Amazon SES) 傳送報告。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 建立 Web 應用程式，以使用 Amazon Simple Email Service (Amazon SES) 追蹤 Amazon Aurora 資料庫中的工作項目和電子郵件報告。這個範例使用以 React.js 建置的前端與 Express Node.js 後端互動。  
+ 將 React.js Web 應用程式與 整合。 AWS 服務
+ 列出、新增和更新 Aurora 資料表中的項目。
+ 使用 Amazon SES 傳送篩選工作項目的電子郵件報告。
+ 使用隨附的 AWS CloudFormation 指令碼部署和管理範例資源。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/aurora-serverless-app) 上的完整範例。  

**此範例中使用的服務**
+ Aurora
+ Amazon RDS
+ Amazon RDS 資料服務
+ Amazon SES

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Redshift 範例
<a name="javascript_3_redshift_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Redshift 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `CreateCluster`
<a name="redshift_CreateCluster_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateCluster`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/redshift#code-examples)中設定和執行。
建立用戶端。  

```
import { RedshiftClient } from "@aws-sdk/client-redshift";
// Set the AWS Region.
const REGION = "REGION";
//Set the Redshift Service Object
const redshiftClient = new RedshiftClient({ region: REGION });
export { redshiftClient };
```
建立 叢集  

```
// Import required AWS SDK clients and commands for Node.js
import { CreateClusterCommand } from "@aws-sdk/client-redshift";
import { redshiftClient } from "./libs/redshiftClient.js";

const params = {
  ClusterIdentifier: "CLUSTER_NAME", // Required
  NodeType: "NODE_TYPE", //Required
  MasterUsername: "MASTER_USER_NAME", // Required - must be lowercase
  MasterUserPassword: "MASTER_USER_PASSWORD", // Required - must contain at least one uppercase letter, and one number
  ClusterType: "CLUSTER_TYPE", // Required
  IAMRoleARN: "IAM_ROLE_ARN", // Optional - the ARN of an IAM role with permissions your cluster needs to access other AWS services on your behalf, such as Amazon S3.
  ClusterSubnetGroupName: "CLUSTER_SUBNET_GROUPNAME", //Optional - the name of a cluster subnet group to be associated with this cluster. Defaults to 'default' if not specified.
  DBName: "DATABASE_NAME", // Optional - defaults to 'dev' if not specified
  Port: "PORT_NUMBER", // Optional - defaults to '5439' if not specified
};

const run = async () => {
  try {
    const data = await redshiftClient.send(new CreateClusterCommand(params));
    console.log(
      `Cluster ${data.Cluster.ClusterIdentifier} successfully created`,
    );
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateCluster](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/redshift/command/CreateClusterCommand)。

### `DeleteCluster`
<a name="redshift_DeleteCluster_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteCluster`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/redshift#code-examples)中設定和執行。
建立用戶端。  

```
import { RedshiftClient } from "@aws-sdk/client-redshift";
// Set the AWS Region.
const REGION = "REGION";
//Set the Redshift Service Object
const redshiftClient = new RedshiftClient({ region: REGION });
export { redshiftClient };
```
建立 叢集  

```
// Import required AWS SDK clients and commands for Node.js
import { DeleteClusterCommand } from "@aws-sdk/client-redshift";
import { redshiftClient } from "./libs/redshiftClient.js";

const params = {
  ClusterIdentifier: "CLUSTER_NAME",
  SkipFinalClusterSnapshot: false,
  FinalClusterSnapshotIdentifier: "CLUSTER_SNAPSHOT_ID",
};

const run = async () => {
  try {
    const data = await redshiftClient.send(new DeleteClusterCommand(params));
    console.log("Success, cluster deleted. ", data);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteCluster](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/redshift/command/DeleteClusterCommand)。

### `DescribeClusters`
<a name="redshift_DescribeClusters_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeClusters`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/redshift#code-examples)中設定和執行。
建立用戶端。  

```
import { RedshiftClient } from "@aws-sdk/client-redshift";
// Set the AWS Region.
const REGION = "REGION";
//Set the Redshift Service Object
const redshiftClient = new RedshiftClient({ region: REGION });
export { redshiftClient };
```
描述您的叢集。  

```
// Import required AWS SDK clients and commands for Node.js
import { DescribeClustersCommand } from "@aws-sdk/client-redshift";
import { redshiftClient } from "./libs/redshiftClient.js";

const params = {
  ClusterIdentifier: "CLUSTER_NAME",
};

const run = async () => {
  try {
    const data = await redshiftClient.send(new DescribeClustersCommand(params));
    console.log("Success", data);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeClusters](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/redshift/command/DescribeClustersCommand)。

### `ModifyCluster`
<a name="redshift_ModifyCluster_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ModifyCluster`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/redshift#code-examples)中設定和執行。
建立用戶端。  

```
import { RedshiftClient } from "@aws-sdk/client-redshift";
// Set the AWS Region.
const REGION = "REGION";
//Set the Redshift Service Object
const redshiftClient = new RedshiftClient({ region: REGION });
export { redshiftClient };
```
修改叢集。  

```
// Import required AWS SDK clients and commands for Node.js
import { ModifyClusterCommand } from "@aws-sdk/client-redshift";
import { redshiftClient } from "./libs/redshiftClient.js";

// Set the parameters
const params = {
  ClusterIdentifier: "CLUSTER_NAME",
  MasterUserPassword: "NEW_MASTER_USER_PASSWORD",
};

const run = async () => {
  try {
    const data = await redshiftClient.send(new ModifyClusterCommand(params));
    console.log("Success was modified.", data);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ModifyCluster](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/redshift/command/ModifyClusterCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Rekognition 範例
<a name="javascript_3_rekognition_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Rekognition 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立無伺服器應用程式來管理相片
<a name="cross_PAM_javascript_3_topic"></a>

下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。  
如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager) 上的完整範例。  
如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon Rekognition
+ Amazon S3
+ Amazon SNS

### 偵測映像中的物件
<a name="cross_RekognitionPhotoAnalyzer_javascript_3_topic"></a>

下列程式碼範例示範如何建置應用程式，該應用程式可使用 Amazon Rekognition 依影像中的類別偵測物件。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Amazon Rekognition 搭配 適用於 JavaScript 的 AWS SDK 來建立使用 Amazon Rekognition 的應用程式，以在位於 Amazon Simple Storage Service (Amazon S3) 儲存貯體的影像中依類別識別物件。此應用程式可使用 Amazon Simple Email Service (Amazon SES) 向管理員傳送包含結果的電子郵件通知。  
了解如何：  
+ 使用 Amazon Cognito 建立未經身分驗證的使用者。
+ 使用 Amazon Rekognition 分析映像中的物件。
+ 驗證 Amazon SES 的電子郵件地址。
+ 使用 Amazon SES 傳送電子郵件通知。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo_analyzer) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Rekognition
+ Amazon S3
+ Amazon SES

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon S3 範例
<a name="javascript_3_s3_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon S3 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)
+ [案例](#scenarios)
+ [無伺服器範例](#serverless_examples)

## 開始使用
<a name="get_started"></a>

### 您好 Amazon S3
<a name="s3_Hello_javascript_3_topic"></a>

下列程式碼範例說明如何開始使用 Amazon S3。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。

```
import {
  paginateListBuckets,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * List the S3 buckets in your configured AWS account.
 */
export const helloS3 = async () => {
  // When no region or credentials are provided, the SDK will use the
  // region and credentials from the local AWS config.
  const client = new S3Client({});

  try {
    /**
     * @type { import("@aws-sdk/client-s3").Bucket[] }
     */
    const buckets = [];

    for await (const page of paginateListBuckets({ client }, {})) {
      buckets.push(...page.Buckets);
    }
    console.log("Buckets: ");
    console.log(buckets.map((bucket) => bucket.Name).join("\n"));
    return buckets;
  } catch (caught) {
    // ListBuckets does not throw any modeled errors. Any error caught
    // here will be something generic like `AccessDenied`.
    if (caught instanceof S3ServiceException) {
      console.error(`${caught.name}: ${caught.message}`);
    } else {
      // Something besides S3 failed.
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [ListBuckets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/ListBucketsCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="s3_Scenario_GettingStarted_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立儲存貯體並上傳檔案到該儲存貯體。
+ 從儲存貯體下載物件。
+ 將物件複製至儲存貯體中的子文件夾。
+ 列出儲存貯體中的物件。
+ 刪除儲存貯體物件和該儲存貯體。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
首先，匯入所有必要模組。  

```
// Used to check if currently running file is this file.
import { fileURLToPath } from "node:url";
import { readdirSync, readFileSync, writeFileSync } from "node:fs";

// Local helper utils.
import { dirnameFromMetaUrl } from "@aws-doc-sdk-examples/lib/utils/util-fs.js";
import { Prompter } from "@aws-doc-sdk-examples/lib/prompter.js";
import { wrapText } from "@aws-doc-sdk-examples/lib/utils/util-string.js";

import {
  S3Client,
  CreateBucketCommand,
  PutObjectCommand,
  ListObjectsCommand,
  CopyObjectCommand,
  GetObjectCommand,
  DeleteObjectsCommand,
  DeleteBucketCommand,
} from "@aws-sdk/client-s3";
```
前面的匯入動作參考了一些協助公用程式。這些公用程式是本節開頭連結的 GitHub 儲存庫的本機公用程式。如需相關內容，請參閱下列公用程式的實作方式。  

```
export const dirnameFromMetaUrl = (metaUrl) =>
  fileURLToPath(new URL(".", metaUrl));

import { select, input, confirm, checkbox, password } from "@inquirer/prompts";

export class Prompter {
  /**
   * @param {{ message: string, choices: { name: string, value: string }[]}} options
   */
  select(options) {
    return select(options);
  }

  /**
   * @param {{ message: string }} options
   */
  input(options) {
    return input(options);
  }

  /**
   * @param {{ message: string }} options
   */
  password(options) {
    return password({ ...options, mask: true });
  }

  /**
   * @param {string} prompt
   */
  checkContinue = async (prompt = "") => {
    const prefix = prompt && `${prompt} `;
    const ok = await this.confirm({
      message: `${prefix}Continue?`,
    });
    if (!ok) throw new Error("Exiting...");
  };

  /**
   * @param {{ message: string }} options
   */
  confirm(options) {
    return confirm(options);
  }

  /**
   * @param {{ message: string, choices: { name: string, value: string }[]}} options
   */
  checkbox(options) {
    return checkbox(options);
  }
}

export const wrapText = (text, char = "=") => {
  const rule = char.repeat(80);
  return `${rule}\n    ${text}\n${rule}\n`;
};
```
物件存放在「儲存貯體」中。接下來，來定義一個建立新儲存貯體的函數。  

```
export const createBucket = async () => {
  const bucketName = await prompter.input({
    message: "Enter a bucket name. Bucket names must be globally unique:",
  });
  const command = new CreateBucketCommand({ Bucket: bucketName });
  await s3Client.send(command);
  console.log("Bucket created successfully.\n");
  return bucketName;
};
```
儲存貯體包含「物件」。此功能會將儲存庫的內容做為物件上傳至您的儲存貯體。  

```
export const uploadFilesToBucket = async ({ bucketName, folderPath }) => {
  console.log(`Uploading files from ${folderPath}\n`);
  const keys = readdirSync(folderPath);
  const files = keys.map((key) => {
    const filePath = `${folderPath}/${key}`;
    const fileContent = readFileSync(filePath);
    return {
      Key: key,
      Body: fileContent,
    };
  });

  for (const file of files) {
    await s3Client.send(
      new PutObjectCommand({
        Bucket: bucketName,
        Body: file.Body,
        Key: file.Key,
      }),
    );
    console.log(`${file.Key} uploaded successfully.`);
  }
};
```
上傳物件之後，請檢查確認已正確上傳物件。您可以為此使用 ListObjects。您將使用「金鑰」屬性，但在回應中也有其他有用的屬性。  

```
export const listFilesInBucket = async ({ bucketName }) => {
  const command = new ListObjectsCommand({ Bucket: bucketName });
  const { Contents } = await s3Client.send(command);
  const contentsList = Contents.map((c) => ` • ${c.Key}`).join("\n");
  console.log("\nHere's a list of files in the bucket:");
  console.log(`${contentsList}\n`);
};
```
有時您可能想從儲存貯體複製物件到另一個儲存貯體。為此使用 CopyObject 命令。  

```
export const copyFileFromBucket = async ({ destinationBucket }) => {
  const proceed = await prompter.confirm({
    message: "Would you like to copy an object from another bucket?",
  });

  if (!proceed) {
    return;
  }
  const copy = async () => {
    try {
      const sourceBucket = await prompter.input({
        message: "Enter source bucket name:",
      });
      const sourceKey = await prompter.input({
        message: "Enter source key:",
      });
      const destinationKey = await prompter.input({
        message: "Enter destination key:",
      });

      const command = new CopyObjectCommand({
        Bucket: destinationBucket,
        CopySource: `${sourceBucket}/${sourceKey}`,
        Key: destinationKey,
      });
      await s3Client.send(command);
      await copyFileFromBucket({ destinationBucket });
    } catch (err) {
      console.error("Copy error.");
      console.error(err);
      const retryAnswer = await prompter.confirm({ message: "Try again?" });
      if (retryAnswer) {
        await copy();
      }
    }
  };
  await copy();
};
```
沒有從儲存貯體中取得多個物件的 SDK 方法。反之，您會建立一份待下載的物件清單，並重複執行這些物件。  

```
export const downloadFilesFromBucket = async ({ bucketName }) => {
  const { Contents } = await s3Client.send(
    new ListObjectsCommand({ Bucket: bucketName }),
  );
  const path = await prompter.input({
    message: "Enter destination path for files:",
  });

  for (const content of Contents) {
    const obj = await s3Client.send(
      new GetObjectCommand({ Bucket: bucketName, Key: content.Key }),
    );
    writeFileSync(
      `${path}/${content.Key}`,
      await obj.Body.transformToByteArray(),
    );
  }
  console.log("Files downloaded successfully.\n");
};
```
該清除資源了。儲存貯體在刪除之前必須先清空。這兩個函數會清空並刪除儲存貯體。  

```
export const emptyBucket = async ({ bucketName }) => {
  const listObjectsCommand = new ListObjectsCommand({ Bucket: bucketName });
  const { Contents } = await s3Client.send(listObjectsCommand);
  const keys = Contents.map((c) => c.Key);

  const deleteObjectsCommand = new DeleteObjectsCommand({
    Bucket: bucketName,
    Delete: { Objects: keys.map((key) => ({ Key: key })) },
  });
  await s3Client.send(deleteObjectsCommand);
  console.log(`${bucketName} emptied successfully.\n`);
};

export const deleteBucket = async ({ bucketName }) => {
  const command = new DeleteBucketCommand({ Bucket: bucketName });
  await s3Client.send(command);
  console.log(`${bucketName} deleted successfully.\n`);
};
```
「主要」函數會將所有內容放在一起。若你直接執行這個檔案，主要函數將受到叫用。  

```
const main = async () => {
  const OBJECT_DIRECTORY = `${dirnameFromMetaUrl(
    import.meta.url,
  )}../../../../resources/sample_files/.sample_media`;

  try {
    console.log(wrapText("Welcome to the Amazon S3 getting started example."));
    console.log("Let's create a bucket.");
    const bucketName = await createBucket();
    await prompter.confirm({ message: continueMessage });

    console.log(wrapText("File upload."));
    console.log(
      "I have some default files ready to go. You can edit the source code to provide your own.",
    );
    await uploadFilesToBucket({
      bucketName,
      folderPath: OBJECT_DIRECTORY,
    });

    await listFilesInBucket({ bucketName });
    await prompter.confirm({ message: continueMessage });

    console.log(wrapText("Copy files."));
    await copyFileFromBucket({ destinationBucket: bucketName });
    await listFilesInBucket({ bucketName });
    await prompter.confirm({ message: continueMessage });

    console.log(wrapText("Download files."));
    await downloadFilesFromBucket({ bucketName });

    console.log(wrapText("Clean up."));
    await emptyBucket({ bucketName });
    await deleteBucket({ bucketName });
  } catch (err) {
    console.error(err);
  }
};
```
+ 如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的下列主題。
  + [CopyObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/CopyObjectCommand)
  + [CreateBucket](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/CreateBucketCommand)
  + [DeleteBucket](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteBucketCommand)
  + [DeleteObjects](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteObjectsCommand)
  + [GetObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectCommand)
  + [ListObjectsV2](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/ListObjectsV2Command)
  + [PutObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectCommand)

## 動作
<a name="actions"></a>

### `CopyObject`
<a name="s3_CopyObject_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CopyObject`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
複製物件  

```
import {
  S3Client,
  CopyObjectCommand,
  ObjectNotInActiveTierError,
  waitUntilObjectExists,
} from "@aws-sdk/client-s3";

/**
 * Copy an S3 object from one bucket to another.
 *
 * @param {{
 *   sourceBucket: string,
 *   sourceKey: string,
 *   destinationBucket: string,
 *   destinationKey: string }} config
 */
export const main = async ({
  sourceBucket,
  sourceKey,
  destinationBucket,
  destinationKey,
}) => {
  const client = new S3Client({});

  try {
    await client.send(
      new CopyObjectCommand({
        CopySource: `${sourceBucket}/${sourceKey}`,
        Bucket: destinationBucket,
        Key: destinationKey,
      }),
    );
    await waitUntilObjectExists(
      { client },
      { Bucket: destinationBucket, Key: destinationKey },
    );
    console.log(
      `Successfully copied ${sourceBucket}/${sourceKey} to ${destinationBucket}/${destinationKey}`,
    );
  } catch (caught) {
    if (caught instanceof ObjectNotInActiveTierError) {
      console.error(
        `Could not copy ${sourceKey} from ${sourceBucket}. Object is not in the active tier.`,
      );
    } else {
      throw caught;
    }
  }
};
```
如果物件的 ETag 與提供的 ETag 不相符，則複製該物件。  

```
import {
  CopyObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

// Optionally edit the default key name of the copied object in 'object_name.json'
import data from "../scenarios/conditional-requests/object_name.json" assert {
  type: "json",
};

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ sourceBucketName: string, sourceKeyName: string, destinationBucketName: string, eTag: string }}
 */
export const main = async ({
  sourceBucketName,
  sourceKeyName,
  destinationBucketName,
  eTag,
}) => {
  const client = new S3Client({});
  const name = data.name;
  try {
    const response = await client.send(
      new CopyObjectCommand({
        CopySource: `${sourceBucketName}/${sourceKeyName}`,
        Bucket: destinationBucketName,
        Key: `${name}${sourceKeyName}`,
        CopySourceIfMatch: eTag,
      }),
    );
    console.log("Successfully copied object to bucket.");
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while copying object "${sourceKeyName}" from "${sourceBucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Unable to copy object "${sourceKeyName}" to bucket "${sourceBucketName}":  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    sourceBucketName: {
      type: "string",
      required: true,
    },
    sourceKeyName: {
      type: "string",
      required: true,
    },
    destinationBucketName: {
      type: "string",
      required: true,
    },
    eTag: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
如果物件的 ETag 與提供的 ETag 不相符，則複製該物件。  

```
import {
  CopyObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

// Optionally edit the default key name of the copied object in 'object_name.json'
import data from "../scenarios/conditional-requests/object_name.json" assert {
  type: "json",
};

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ sourceBucketName: string, sourceKeyName: string, destinationBucketName: string, eTag: string }}
 */
export const main = async ({
  sourceBucketName,
  sourceKeyName,
  destinationBucketName,
  eTag,
}) => {
  const client = new S3Client({});
  const name = data.name;

  try {
    const response = await client.send(
      new CopyObjectCommand({
        CopySource: `${sourceBucketName}/${sourceKeyName}`,
        Bucket: destinationBucketName,
        Key: `${name}${sourceKeyName}`,
        CopySourceIfNoneMatch: eTag,
      }),
    );
    console.log("Successfully copied object to bucket.");
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while copying object "${sourceKeyName}" from "${sourceBucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Unable to copy object "${sourceKeyName}" to bucket "${sourceBucketName}":  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    sourceBucketName: {
      type: "string",
      required: true,
    },
    sourceKeyName: {
      type: "string",
      required: true,
    },
    destinationBucketName: {
      type: "string",
      required: true,
    },
    eTag: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
在給定的時間範圍內建立或修改物件的情況下，複製該物件。  

```
import {
  CopyObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

// Optionally edit the default key name of the copied object in 'object_name.json'
import data from "../scenarios/conditional-requests/object_name.json" assert {
  type: "json",
};

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ sourceBucketName: string, sourceKeyName: string, destinationBucketName: string }}
 */
export const main = async ({
  sourceBucketName,
  sourceKeyName,
  destinationBucketName,
}) => {
  const date = new Date();
  date.setDate(date.getDate() - 1);

  const name = data.name;
  const client = new S3Client({});
  const copySource = `${sourceBucketName}/${sourceKeyName}`;
  const copiedKey = name + sourceKeyName;

  try {
    const response = await client.send(
      new CopyObjectCommand({
        CopySource: copySource,
        Bucket: destinationBucketName,
        Key: copiedKey,
        CopySourceIfModifiedSince: date,
      }),
    );
    console.log("Successfully copied object to bucket.");
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while copying object "${sourceKeyName}" from "${sourceBucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while copying object from ${sourceBucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    sourceBucketName: {
      type: "string",
      required: true,
    },
    sourceKeyName: {
      type: "string",
      required: true,
    },
    destinationBucketName: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
在給定的時間範圍內未建立或修改物件的情況下，複製該物件。  

```
import {
  CopyObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

// Optionally edit the default key name of the copied object in 'object_name.json'
import data from "../scenarios/conditional-requests/object_name.json" assert {
  type: "json",
};

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ sourceBucketName: string, sourceKeyName: string, destinationBucketName: string }}
 */
export const main = async ({
  sourceBucketName,
  sourceKeyName,
  destinationBucketName,
}) => {
  const date = new Date();
  date.setDate(date.getDate() - 1);
  const client = new S3Client({});
  const name = data.name;
  const copiedKey = name + sourceKeyName;
  const copySource = `${sourceBucketName}/${sourceKeyName}`;

  try {
    const response = await client.send(
      new CopyObjectCommand({
        CopySource: copySource,
        Bucket: destinationBucketName,
        Key: copiedKey,
        CopySourceIfUnmodifiedSince: date,
      }),
    );
    console.log("Successfully copied object to bucket.");
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while copying object "${sourceKeyName}" from "${sourceBucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while copying object from ${sourceBucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    sourceBucketName: {
      type: "string",
      required: true,
    },
    sourceKeyName: {
      type: "string",
      required: true,
    },
    destinationBucketName: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [CopyObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/CopyObjectCommand)。

### `CreateBucket`
<a name="s3_CreateBucket_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateBucket`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
建立儲存貯體。  

```
import {
  BucketAlreadyExists,
  BucketAlreadyOwnedByYou,
  CreateBucketCommand,
  S3Client,
  waitUntilBucketExists,
} from "@aws-sdk/client-s3";

/**
 * Create an Amazon S3 bucket.
 * @param {{ bucketName: string }} config
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    const { Location } = await client.send(
      new CreateBucketCommand({
        // The name of the bucket. Bucket names are unique and have several other constraints.
        // See https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html
        Bucket: bucketName,
      }),
    );
    await waitUntilBucketExists({ client }, { Bucket: bucketName });
    console.log(`Bucket created with location ${Location}`);
  } catch (caught) {
    if (caught instanceof BucketAlreadyExists) {
      console.error(
        `The bucket "${bucketName}" already exists in another AWS account. Bucket names must be globally unique.`,
      );
    }
    // WARNING: If you try to create a bucket in the North Virginia region,
    // and you already own a bucket in that region with the same name, this
    // error will not be thrown. Instead, the call will return successfully
    // and the ACL on that bucket will be reset.
    else if (caught instanceof BucketAlreadyOwnedByYou) {
      console.error(
        `The bucket "${bucketName}" already exists in this AWS account.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html#s3-example-creating-buckets-new-bucket-2)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [CreateBucket](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/CreateBucketCommand)。

### `DeleteBucket`
<a name="s3_DeleteBucket_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteBucket`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
刪除儲存貯體。  

```
import {
  DeleteBucketCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Delete an Amazon S3 bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});
  const command = new DeleteBucketCommand({
    Bucket: bucketName,
  });

  try {
    await client.send(command);
    console.log("Bucket was deleted.");
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while deleting bucket. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while deleting the bucket. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html#s3-example-deleting-buckets)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteBucket](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteBucketCommand)。

### `DeleteBucketPolicy`
<a name="s3_DeleteBucketPolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteBucketPolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
刪除儲存貯體政策。  

```
import {
  DeleteBucketPolicyCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Remove the policy from an Amazon S3 bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    await client.send(
      new DeleteBucketPolicyCommand({
        Bucket: bucketName,
      }),
    );
    console.log(`Bucket policy deleted from "${bucketName}".`);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while deleting policy from ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while deleting policy from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-bucket-policies.html#s3-example-bucket-policies-delete-policy)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteBucketPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteBucketPolicyCommand)。

### `DeleteBucketWebsite`
<a name="s3_DeleteBucketWebsite_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteBucketWebsite`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
從儲存貯體刪除網站組態  

```
import {
  DeleteBucketWebsiteCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Remove the website configuration for a bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    await client.send(
      new DeleteBucketWebsiteCommand({
        Bucket: bucketName,
      }),
    );
    // The response code will be successful for both removed configurations and
    // configurations that did not exist in the first place.
    console.log(
      `The bucket "${bucketName}" is not longer configured as a website, or it never was.`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while removing website configuration from ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while removing website configuration from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-static-web-host.html#s3-example-static-web-host-delete-website)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteBucketWebsite](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteBucketWebsiteCommand)。

### `DeleteObject`
<a name="s3_DeleteObject_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteObject`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
刪除物件。  

```
import {
  DeleteObjectCommand,
  S3Client,
  S3ServiceException,
  waitUntilObjectNotExists,
} from "@aws-sdk/client-s3";

/**
 * Delete one object from an Amazon S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});

  try {
    await client.send(
      new DeleteObjectCommand({
        Bucket: bucketName,
        Key: key,
      }),
    );
    await waitUntilObjectNotExists(
      { client },
      { Bucket: bucketName, Key: key },
    );
    // A successful delete, or a delete for a non-existent object, both return
    // a 204 response code.
    console.log(
      `The object "${key}" from bucket "${bucketName}" was deleted, or it didn't exist.`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while deleting object from ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while deleting object from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteObjectCommand)。

### `DeleteObjects`
<a name="s3_DeleteObjects_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteObjects`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
刪除多個物件。  

```
import {
  DeleteObjectsCommand,
  S3Client,
  S3ServiceException,
  waitUntilObjectNotExists,
} from "@aws-sdk/client-s3";

/**
 * Delete multiple objects from an S3 bucket.
 * @param {{ bucketName: string, keys: string[] }}
 */
export const main = async ({ bucketName, keys }) => {
  const client = new S3Client({});

  try {
    const { Deleted } = await client.send(
      new DeleteObjectsCommand({
        Bucket: bucketName,
        Delete: {
          Objects: keys.map((k) => ({ Key: k })),
        },
      }),
    );
    for (const key in keys) {
      await waitUntilObjectNotExists(
        { client },
        { Bucket: bucketName, Key: key },
      );
    }
    console.log(
      `Successfully deleted ${Deleted.length} objects from S3 bucket. Deleted objects:`,
    );
    console.log(Deleted.map((d) => ` • ${d.Key}`).join("\n"));
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while deleting objects from ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while deleting objects from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DeleteObjects](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteObjectsCommand)。

### `GetBucketAcl`
<a name="s3_GetBucketAcl_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetBucketAcl`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
取得 ACL 許可。  

```
import {
  GetBucketAclCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Retrieves the Access Control List (ACL) for an S3 bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetBucketAclCommand({
        Bucket: bucketName,
      }),
    );
    console.log(`ACL for bucket "${bucketName}":`);
    console.log(JSON.stringify(response, null, 2));
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while getting ACL for ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting ACL for ${bucketName}. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-access-permissions.html#s3-example-access-permissions-get-acl)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [GetBucketAcl](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetBucketAclCommand)。

### `GetBucketCors`
<a name="s3_GetBucketCors_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetBucketCors`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
取得儲存貯體的 CORS 政策。  

```
import {
  GetBucketCorsCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Log the Cross-Origin Resource Sharing (CORS) configuration information
 * set for the bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});
  const command = new GetBucketCorsCommand({
    Bucket: bucketName,
  });

  try {
    const { CORSRules } = await client.send(command);
    console.log(JSON.stringify(CORSRules));
    CORSRules.forEach((cr, i) => {
      console.log(
        `\nCORSRule ${i + 1}`,
        `\n${"-".repeat(10)}`,
        `\nAllowedHeaders: ${cr.AllowedHeaders}`,
        `\nAllowedMethods: ${cr.AllowedMethods}`,
        `\nAllowedOrigins: ${cr.AllowedOrigins}`,
        `\nExposeHeaders: ${cr.ExposeHeaders}`,
        `\nMaxAgeSeconds: ${cr.MaxAgeSeconds}`,
      );
    });
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while getting bucket CORS rules for ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting bucket CORS rules for ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-configuring-buckets.html#s3-example-configuring-buckets-get-cors)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [GetBucketCors](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetBucketCorsCommand)。

### `GetBucketPolicy`
<a name="s3_GetBucketPolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetBucketPolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
取得儲存貯體政策。  

```
import {
  GetBucketPolicyCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Logs the policy for a specified bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    const { Policy } = await client.send(
      new GetBucketPolicyCommand({
        Bucket: bucketName,
      }),
    );
    console.log(`Policy for "${bucketName}":\n${Policy}`);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while getting policy from ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting policy from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-bucket-policies.html#s3-example-bucket-policies-get-policy)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [GetBucketPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetBucketPolicyCommand)。

### `GetBucketWebsite`
<a name="s3_GetBucketWebsite_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetBucketWebsite`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
取得網站組態。  

```
import {
  GetBucketWebsiteCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Log the website configuration for a bucket.
 * @param {{ bucketName }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetBucketWebsiteCommand({
        Bucket: bucketName,
      }),
    );
    console.log(
      `Your bucket is set up to host a website with the following configuration:\n${JSON.stringify(response, null, 2)}`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchWebsiteConfiguration"
    ) {
      console.error(
        `Error from S3 while getting website configuration for ${bucketName}. The bucket isn't configured as a website.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting website configuration for ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [GetBucketWebsite](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetBucketWebsiteCommand)。

### `GetObject`
<a name="s3_GetObject_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetObject`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
下載物件。  

```
import {
  GetObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetObjectCommand({
        Bucket: bucketName,
        Key: key,
      }),
    );
    // The Body object also has 'transformToByteArray' and 'transformToWebStream' methods.
    const str = await response.Body.transformToString();
    console.log(str);
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while getting object "${key}" from "${bucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
如果物件的 ETag 與提供的 ETag 相符，則下載該物件。  

```
import {
  GetObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ bucketName: string, key: string, eTag: string }}
 */
export const main = async ({ bucketName, key, eTag }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetObjectCommand({
        Bucket: bucketName,
        Key: key,
        IfMatch: eTag,
      }),
    );
    // The Body object also has 'transformToByteArray' and 'transformToWebStream' methods.
    const str = await response.Body.transformToString();
    console.log("Success. Here is text of the file:", str);
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while getting object "${key}" from "${bucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
    eTag: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
如果物件的 ETag 與提供的 ETag 不相符，則下載該物件。  

```
import {
  GetObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ bucketName: string, key: string, eTag: string }}
 */
export const main = async ({ bucketName, key, eTag }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetObjectCommand({
        Bucket: bucketName,
        Key: key,
        IfNoneMatch: eTag,
      }),
    );
    // The Body object also has 'transformToByteArray' and 'transformToWebStream' methods.
    const str = await response.Body.transformToString();
    console.log("Success. Here is text of the file:", str);
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while getting object "${key}" from "${bucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object from ${bucketName}. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
    eTag: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
在給定的時間範圍內建立或修改物件的情況下，下載該物件。  

```
import {
  GetObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});
  const date = new Date();
  date.setDate(date.getDate() - 1);
  try {
    const response = await client.send(
      new GetObjectCommand({
        Bucket: bucketName,
        Key: key,
        IfModifiedSince: date,
      }),
    );
    // The Body object also has 'transformToByteArray' and 'transformToWebStream' methods.
    const str = await response.Body.transformToString();
    console.log("Success. Here is text of the file:", str);
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while getting object "${key}" from "${bucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
在給定的時間範圍內未建立或修改物件的情況下，下載該物件。  

```
import {
  GetObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});
  const date = new Date();
  date.setDate(date.getDate() - 1);
  try {
    const response = await client.send(
      new GetObjectCommand({
        Bucket: bucketName,
        Key: key,
        IfUnmodifiedSince: date,
      }),
    );
    // The Body object also has 'transformToByteArray' and 'transformToWebStream' methods.
    const str = await response.Body.transformToString();
    console.log("Success. Here is text of the file:", str);
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while getting object "${key}" from "${bucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html#s3-example-creating-buckets-get-object)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [GetObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectCommand)。

### `GetObjectLegalHold`
<a name="s3_GetObjectLegalHold_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetObjectLegalHold`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。

```
import {
  GetObjectLegalHoldCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get an object's current legal hold status.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetObjectLegalHoldCommand({
        Bucket: bucketName,
        Key: key,
        // Optionally, you can provide additional parameters
        // ExpectedBucketOwner: "<account ID that is expected to own the bucket>",
        // VersionId: "<the specific version id of the object to check>",
      }),
    );
    console.log(`Legal Hold Status: ${response.LegalHold.Status}`);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while getting legal hold status for ${key} in ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting legal hold status for ${key} in ${bucketName} from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetObjectLegalHold](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectLegalHoldCommand)。

### `GetObjectLockConfiguration`
<a name="s3_GetObjectLockConfiguration_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetObjectLockConfiguration`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。

```
import {
  GetObjectLockConfigurationCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Gets the Object Lock configuration for a bucket.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    const { ObjectLockConfiguration } = await client.send(
      new GetObjectLockConfigurationCommand({
        Bucket: bucketName,
        // Optionally, you can provide additional parameters
        // ExpectedBucketOwner: "<account ID that is expected to own the bucket>",
      }),
    );
    console.log(
      `Object Lock Configuration:\n${JSON.stringify(ObjectLockConfiguration)}`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while getting object lock configuration for ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object lock configuration for ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetObjectLockConfiguration](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectLockConfigurationCommand)。

### `GetObjectRetention`
<a name="s3_GetObjectRetention_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetObjectRetention`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。

```
import {
  GetObjectRetentionCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Log the "RetainUntilDate" for an object in an S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});

  try {
    const { Retention } = await client.send(
      new GetObjectRetentionCommand({
        Bucket: bucketName,
        Key: key,
      }),
    );
    console.log(
      `${key} in ${bucketName} will be retained until ${Retention.RetainUntilDate}`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchObjectLockConfiguration"
    ) {
      console.warn(
        `The object "${key}" in the bucket "${bucketName}" does not have an ObjectLock configuration.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object retention settings for "${bucketName}".  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetObjectRetention](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectRetentionCommand)。

### `ListBuckets`
<a name="s3_ListBuckets_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListBuckets`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
列出儲存貯體。  

```
import {
  paginateListBuckets,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * List the Amazon S3 buckets in your account.
 */
export const main = async () => {
  const client = new S3Client({});
  /** @type {?import('@aws-sdk/client-s3').Owner} */
  let Owner = null;

  /** @type {import('@aws-sdk/client-s3').Bucket[]} */
  const Buckets = [];

  try {
    const paginator = paginateListBuckets({ client }, {});

    for await (const page of paginator) {
      if (!Owner) {
        Owner = page.Owner;
      }

      Buckets.push(...page.Buckets);
    }

    console.log(
      `${Owner.DisplayName} owns ${Buckets.length} bucket${
        Buckets.length === 1 ? "" : "s"
      }:`,
    );
    console.log(`${Buckets.map((b) => ` • ${b.Name}`).join("\n")}`);
  } catch (caught) {
    if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while listing buckets.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html#s3-example-creating-buckets-list-buckets)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [ListBuckets](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/ListBucketsCommand)。

### `ListObjectsV2`
<a name="s3_ListObjectsV2_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListObjectsV2`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
條列儲存貯體中的所有物件。若有多個物件，IsTruncated 和 NextContinuationToken 將用於重複執行整份清單。  

```
import {
  S3Client,
  S3ServiceException,
  // This command supersedes the ListObjectsCommand and is the recommended way to list objects.
  paginateListObjectsV2,
} from "@aws-sdk/client-s3";

/**
 * Log all of the object keys in a bucket.
 * @param {{ bucketName: string, pageSize: string }}
 */
export const main = async ({ bucketName, pageSize }) => {
  const client = new S3Client({});
  /** @type {string[][]} */
  const objects = [];
  try {
    const paginator = paginateListObjectsV2(
      { client, /* Max items per page */ pageSize: Number.parseInt(pageSize) },
      { Bucket: bucketName },
    );

    for await (const page of paginator) {
      objects.push(page.Contents.map((o) => o.Key));
    }
    objects.forEach((objectList, pageNum) => {
      console.log(
        `Page ${pageNum + 1}\n------\n${objectList.map((o) => `• ${o}`).join("\n")}\n`,
      );
    });
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while listing objects for "${bucketName}". The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while listing objects for "${bucketName}".  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ListObjectsV2](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/ListObjectsV2Command)。

### `PutBucketAcl`
<a name="s3_PutBucketAcl_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutBucketAcl`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
放置儲存貯體的 ACL。  

```
import {
  PutBucketAclCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Grant read access to a user using their canonical AWS account ID.
 *
 * Most Amazon S3 use cases don't require the use of access control lists (ACLs).
 * We recommend that you disable ACLs, except in unusual circumstances where
 * you need to control access for each object individually. Consider a policy instead.
 * For more information see https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucket-policies.html.
 * @param {{ bucketName: string, granteeCanonicalUserId: string, ownerCanonicalUserId }}
 */
export const main = async ({
  bucketName,
  granteeCanonicalUserId,
  ownerCanonicalUserId,
}) => {
  const client = new S3Client({});
  const command = new PutBucketAclCommand({
    Bucket: bucketName,
    AccessControlPolicy: {
      Grants: [
        {
          Grantee: {
            // The canonical ID of the user. This ID is an obfuscated form of your AWS account number.
            // It's unique to Amazon S3 and can't be found elsewhere.
            // For more information, see https://docs.aws.amazon.com/AmazonS3/latest/userguide/finding-canonical-user-id.html.
            ID: granteeCanonicalUserId,
            Type: "CanonicalUser",
          },
          // One of FULL_CONTROL | READ | WRITE | READ_ACP | WRITE_ACP
          // https://docs.aws.amazon.com/AmazonS3/latest/API/API_Grant.html#AmazonS3-Type-Grant-Permission
          Permission: "READ",
        },
      ],
      Owner: {
        ID: ownerCanonicalUserId,
      },
    },
  });

  try {
    await client.send(command);
    console.log(`Granted READ access to ${bucketName}`);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while setting ACL for bucket ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while setting ACL for bucket ${bucketName}. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-access-permissions.html#s3-example-access-permissions-put-acl)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutBucketAcl](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutBucketAclCommand)。

### `PutBucketCors`
<a name="s3_PutBucketCors_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutBucketCors`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
新增 CORS 規則。  

```
import {
  PutBucketCorsCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Allows cross-origin requests to an S3 bucket by setting the CORS configuration.
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});

  try {
    await client.send(
      new PutBucketCorsCommand({
        Bucket: bucketName,
        CORSConfiguration: {
          CORSRules: [
            {
              // Allow all headers to be sent to this bucket.
              AllowedHeaders: ["*"],
              // Allow only GET and PUT methods to be sent to this bucket.
              AllowedMethods: ["GET", "PUT"],
              // Allow only requests from the specified origin.
              AllowedOrigins: ["https://www.example.com"],
              // Allow the entity tag (ETag) header to be returned in the response. The ETag header
              // The entity tag represents a specific version of the object. The ETag reflects
              // changes only to the contents of an object, not its metadata.
              ExposeHeaders: ["ETag"],
              // How long the requesting browser should cache the preflight response. After
              // this time, the preflight request will have to be made again.
              MaxAgeSeconds: 3600,
            },
          ],
        },
      }),
    );
    console.log(`Successfully set CORS rules for bucket: ${bucketName}`);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while setting CORS rules for ${bucketName}. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while setting CORS rules for ${bucketName}. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-configuring-buckets.html#s3-example-configuring-buckets-put-cors)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutBucketCors](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutBucketCorsCommand)。

### `PutBucketPolicy`
<a name="s3_PutBucketPolicy_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutBucketPolicy`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
新增政策。  

```
import {
  PutBucketPolicyCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Grant an IAM role GetObject access to all of the objects
 * in the provided bucket.
 * @param {{ bucketName: string, iamRoleArn: string }}
 */
export const main = async ({ bucketName, iamRoleArn }) => {
  const client = new S3Client({});
  const command = new PutBucketPolicyCommand({
    // This is a resource-based policy. For more information on resource-based policies,
    // see https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html#policies_resource-based.
    Policy: JSON.stringify({
      Version: "2012-10-17",
      Statement: [
        {
          Effect: "Allow",
          Principal: {
            AWS: iamRoleArn,
          },
          Action: "s3:GetObject",
          Resource: `arn:aws:s3:::${bucketName}/*`,
        },
      ],
    }),
    // Apply the preceding policy to this bucket.
    Bucket: bucketName,
  });

  try {
    await client.send(command);
    console.log(
      `GetObject access to the bucket "${bucketName}" was granted to the provided IAM role.`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "MalformedPolicy"
    ) {
      console.error(
        `Error from S3 while setting the bucket policy for the bucket "${bucketName}". The policy was malformed.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while setting the bucket policy for the bucket "${bucketName}". ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-bucket-policies.html#s3-example-bucket-policies-set-policy)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutBucketPolicy](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutBucketPolicyCommand)。

### `PutBucketWebsite`
<a name="s3_PutBucketWebsite_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutBucketWebsite`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
設定儲存貯體網站組態。  

```
import {
  PutBucketWebsiteCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Configure an Amazon S3 bucket to serve a static website.
 * Website access must also be granted separately. For more information
 * on setting the permissions for website access, see
 * https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteAccessPermissionsReqd.html.
 *
 * @param {{ bucketName: string }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});
  const command = new PutBucketWebsiteCommand({
    Bucket: bucketName,
    WebsiteConfiguration: {
      ErrorDocument: {
        // The object key name to use when a 4XX class error occurs.
        Key: "error.html",
      },
      IndexDocument: {
        // A suffix that is appended to a request when the request is
        // for a directory.
        Suffix: "index.html",
      },
    },
  });

  try {
    await client.send(command);
    console.log(
      `The bucket "${bucketName}" has been configured as a static website.`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while configuring the bucket "${bucketName}" as a static website. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while configuring the bucket "${bucketName}" as a static website. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-static-web-host.html#s3-example-static-web-host-set-website)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutBucketWebsite](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutBucketWebsiteCommand)。

### `PutObject`
<a name="s3_PutObject_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutObject`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
上傳物件。  

```
import { readFile } from "node:fs/promises";

import {
  PutObjectCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Upload a file to an S3 bucket.
 * @param {{ bucketName: string, key: string, filePath: string }}
 */
export const main = async ({ bucketName, key, filePath }) => {
  const client = new S3Client({});
  const command = new PutObjectCommand({
    Bucket: bucketName,
    Key: key,
    Body: await readFile(filePath),
  });

  try {
    const response = await client.send(command);
    console.log(response);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "EntityTooLarge"
    ) {
      console.error(
        `Error from S3 while uploading object to ${bucketName}. \
The object was too large. To upload objects larger than 5GB, use the S3 console (160GB max) \
or the multipart upload API (5TB max).`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while uploading object to ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
如果物件的 ETag 與提供的 ETag 相符，則上傳該物件。  

```
import {
  GetObjectCommand,
  NoSuchKey,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Get a single object from a specified S3 bucket.
 * @param {{ bucketName: string, key: string, eTag: string }}
 */
export const main = async ({ bucketName, key, eTag }) => {
  const client = new S3Client({});

  try {
    const response = await client.send(
      new GetObjectCommand({
        Bucket: bucketName,
        Key: key,
        IfMatch: eTag,
      }),
    );
    // The Body object also has 'transformToByteArray' and 'transformToWebStream' methods.
    const str = await response.Body.transformToString();
    console.log("Success. Here is text of the file:", str);
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(
        `Error from S3 while getting object "${key}" from "${bucketName}". No such key exists.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while getting object from ${bucketName}.  ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
    eTag: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html#s3-example-creating-buckets-new-bucket-2)》。
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [PutObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectCommand)。

### `PutObjectLegalHold`
<a name="s3_PutObjectLegalHold_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutObjectLegalHold`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。

```
import {
  PutObjectLegalHoldCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Apply a legal hold configuration to the specified object.
 * @param {{ bucketName: string, objectKey: string, legalHoldStatus: "ON" | "OFF" }}
 */
export const main = async ({ bucketName, objectKey, legalHoldStatus }) => {
  if (!["OFF", "ON"].includes(legalHoldStatus.toUpperCase())) {
    throw new Error(
      "Invalid parameter. legalHoldStatus must be 'ON' or 'OFF'.",
    );
  }

  const client = new S3Client({});
  const command = new PutObjectLegalHoldCommand({
    Bucket: bucketName,
    Key: objectKey,
    LegalHold: {
      // Set the status to 'ON' to place a legal hold on the object.
      // Set the status to 'OFF' to remove the legal hold.
      Status: legalHoldStatus,
    },
  });

  try {
    await client.send(command);
    console.log(
      `Legal hold status set to "${legalHoldStatus}" for "${objectKey}" in "${bucketName}"`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while modifying legal hold status for "${objectKey}" in "${bucketName}". The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while modifying legal hold status for "${objectKey}" in "${bucketName}". ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    objectKey: {
      type: "string",
      required: true,
    },
    legalHoldStatus: {
      type: "string",
      default: "ON",
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutObjectLegalHold](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectLegalHoldCommand)。

### `PutObjectLockConfiguration`
<a name="s3_PutObjectLockConfiguration_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutObjectLockConfiguration`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
設定儲存貯體的物件鎖定組態。  

```
import {
  PutObjectLockConfigurationCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Enable S3 Object Lock for an Amazon S3 bucket.
 * After you enable Object Lock on a bucket, you can't
 * disable Object Lock or suspend versioning for that bucket.
 * @param {{ bucketName: string, enabled: boolean }}
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});
  const command = new PutObjectLockConfigurationCommand({
    Bucket: bucketName,
    // The Object Lock configuration that you want to apply to the specified bucket.
    ObjectLockConfiguration: {
      ObjectLockEnabled: "Enabled",
    },
  });

  try {
    await client.send(command);
    console.log(`Object Lock for "${bucketName}" enabled.`);
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while modifying the object lock configuration for the bucket "${bucketName}". The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while modifying the object lock configuration for the bucket "${bucketName}". ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
設定儲存貯體的預設保留期間。  

```
import {
  PutObjectLockConfigurationCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Change the default retention settings for an object in an Amazon S3 bucket.
 * @param {{ bucketName: string, retentionDays: string }}
 */
export const main = async ({ bucketName, retentionDays }) => {
  const client = new S3Client({});

  try {
    await client.send(
      new PutObjectLockConfigurationCommand({
        Bucket: bucketName,
        // The Object Lock configuration that you want to apply to the specified bucket.
        ObjectLockConfiguration: {
          ObjectLockEnabled: "Enabled",
          Rule: {
            // The default Object Lock retention mode and period that you want to apply
            // to new objects placed in the specified bucket. Bucket settings require
            // both a mode and a period. The period can be either Days or Years but
            // you must select one.
            DefaultRetention: {
              // In governance mode, users can't overwrite or delete an object version
              // or alter its lock settings unless they have special permissions. With
              // governance mode, you protect objects against being deleted by most users,
              // but you can still grant some users permission to alter the retention settings
              // or delete the objects if necessary.
              Mode: "GOVERNANCE",
              Days: Number.parseInt(retentionDays),
            },
          },
        },
      }),
    );
    console.log(
      `Set default retention mode to "GOVERNANCE" with a retention period of ${retentionDays} day(s).`,
    );
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while setting the default object retention for a bucket. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while setting the default object retention for a bucket. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    retentionDays: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutObjectLockConfiguration](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectLockConfigurationCommand)。

### `PutObjectRetention`
<a name="s3_PutObjectRetention_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `PutObjectRetention`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。

```
import {
  PutObjectRetentionCommand,
  S3Client,
  S3ServiceException,
} from "@aws-sdk/client-s3";

/**
 * Place a 24-hour retention period on an object in an Amazon S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const client = new S3Client({});
  const command = new PutObjectRetentionCommand({
    Bucket: bucketName,
    Key: key,
    BypassGovernanceRetention: false,
    Retention: {
      // In governance mode, users can't overwrite or delete an object version
      // or alter its lock settings unless they have special permissions. With
      // governance mode, you protect objects against being deleted by most users,
      // but you can still grant some users permission to alter the retention settings
      // or delete the objects if necessary.
      Mode: "GOVERNANCE",
      RetainUntilDate: new Date(new Date().getTime() + 24 * 60 * 60 * 1000),
    },
  });

  try {
    await client.send(command);
    console.log("Object Retention settings updated.");
  } catch (caught) {
    if (
      caught instanceof S3ServiceException &&
      caught.name === "NoSuchBucket"
    ) {
      console.error(
        `Error from S3 while modifying the governance mode and retention period on an object. The bucket doesn't exist.`,
      );
    } else if (caught instanceof S3ServiceException) {
      console.error(
        `Error from S3 while modifying the governance mode and retention period on an object. ${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};

// Call function if run directly
import { parseArgs } from "node:util";
import {
  isMain,
  validateArgs,
} from "@aws-doc-sdk-examples/lib/utils/util-node.js";

const loadArgs = () => {
  const options = {
    bucketName: {
      type: "string",
      required: true,
    },
    key: {
      type: "string",
      required: true,
    },
  };
  const results = parseArgs({ options });
  const { errors } = validateArgs({ options }, results);
  return { errors, results };
};

if (isMain(import.meta.url)) {
  const { errors, results } = loadArgs();
  if (!errors) {
    main(results.values);
  } else {
    console.error(errors.join("\n"));
  }
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [PutObjectRetention](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectRetentionCommand)。

## 案例
<a name="scenarios"></a>

### 建立預先簽章 URL
<a name="s3_Scenario_PresignedUrl_javascript_3_topic"></a>

下列程式碼範例示範如何建立適用於 Amazon S3 預先簽署的 URL，並上傳物件。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
建立預先簽署的 URL 將物件上傳至儲存貯體。  

```
import https from "node:https";

import { XMLParser } from "fast-xml-parser";
import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
import { fromIni } from "@aws-sdk/credential-providers";
import { HttpRequest } from "@smithy/protocol-http";
import {
  getSignedUrl,
  S3RequestPresigner,
} from "@aws-sdk/s3-request-presigner";
import { parseUrl } from "@smithy/url-parser";
import { formatUrl } from "@aws-sdk/util-format-url";
import { Hash } from "@smithy/hash-node";

const createPresignedUrlWithoutClient = async ({ region, bucket, key }) => {
  const url = parseUrl(`https://${bucket}.s3.${region}.amazonaws.com/${key}`);
  const presigner = new S3RequestPresigner({
    credentials: fromIni(),
    region,
    sha256: Hash.bind(null, "sha256"),
  });

  const signedUrlObject = await presigner.presign(
    new HttpRequest({ ...url, method: "PUT" }),
  );
  return formatUrl(signedUrlObject);
};

const createPresignedUrlWithClient = ({ region, bucket, key }) => {
  const client = new S3Client({ region });
  const command = new PutObjectCommand({ Bucket: bucket, Key: key });
  return getSignedUrl(client, command, { expiresIn: 3600 });
};

/**
 * Make a PUT request to the provided URL.
 *
 * @param {string} url
 * @param {string} data
 */
const put = (url, data) => {
  return new Promise((resolve, reject) => {
    const req = https.request(
      url,
      { method: "PUT", headers: { "Content-Length": new Blob([data]).size } },
      (res) => {
        let responseBody = "";
        res.on("data", (chunk) => {
          responseBody += chunk;
        });
        res.on("end", () => {
          const parser = new XMLParser();
          if (res.statusCode >= 200 && res.statusCode <= 299) {
            resolve(parser.parse(responseBody, true));
          } else {
            reject(parser.parse(responseBody, true));
          }
        });
      },
    );
    req.on("error", (err) => {
      reject(err);
    });
    req.write(data);
    req.end();
  });
};

/**
 * Create two presigned urls for uploading an object to an S3 bucket.
 * The first presigned URL is created with credentials from the shared INI file
 * in the current environment. The second presigned URL is created using an
 * existing S3Client instance that has already been provided with credentials.
 * @param {{ bucketName: string, key: string, region: string }}
 */
export const main = async ({ bucketName, key, region }) => {
  try {
    const noClientUrl = await createPresignedUrlWithoutClient({
      bucket: bucketName,
      key,
      region,
    });

    const clientUrl = await createPresignedUrlWithClient({
      bucket: bucketName,
      region,
      key,
    });

    // After you get the presigned URL, you can provide your own file
    // data. Refer to put() above.
    console.log("Calling PUT using presigned URL without client");
    await put(noClientUrl, "Hello World");

    console.log("Calling PUT using presigned URL with client");
    await put(clientUrl, "Hello World");

    console.log("\nDone. Check your S3 console.");
  } catch (caught) {
    if (caught instanceof Error && caught.name === "CredentialsProviderError") {
      console.error(
        `There was an error getting your credentials. Are your local credentials configured?\n${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
建立預先簽署的 URL 從儲存貯體下載物件。  

```
import { GetObjectCommand, S3Client } from "@aws-sdk/client-s3";
import { fromIni } from "@aws-sdk/credential-providers";
import { HttpRequest } from "@smithy/protocol-http";
import {
  getSignedUrl,
  S3RequestPresigner,
} from "@aws-sdk/s3-request-presigner";
import { parseUrl } from "@smithy/url-parser";
import { formatUrl } from "@aws-sdk/util-format-url";
import { Hash } from "@smithy/hash-node";

const createPresignedUrlWithoutClient = async ({ region, bucket, key }) => {
  const url = parseUrl(`https://${bucket}.s3.${region}.amazonaws.com/${key}`);
  const presigner = new S3RequestPresigner({
    credentials: fromIni(),
    region,
    sha256: Hash.bind(null, "sha256"),
  });

  const signedUrlObject = await presigner.presign(new HttpRequest(url));
  return formatUrl(signedUrlObject);
};

const createPresignedUrlWithClient = ({ region, bucket, key }) => {
  const client = new S3Client({ region });
  const command = new GetObjectCommand({ Bucket: bucket, Key: key });
  return getSignedUrl(client, command, { expiresIn: 3600 });
};

/**
 * Create two presigned urls for downloading an object from an S3 bucket.
 * The first presigned URL is created with credentials from the shared INI file
 * in the current environment. The second presigned URL is created using an
 * existing S3Client instance that has already been provided with credentials.
 * @param {{ bucketName: string, key: string, region: string }}
 */
export const main = async ({ bucketName, key, region }) => {
  try {
    const noClientUrl = await createPresignedUrlWithoutClient({
      bucket: bucketName,
      region,
      key,
    });

    const clientUrl = await createPresignedUrlWithClient({
      bucket: bucketName,
      region,
      key,
    });

    console.log("Presigned URL without client");
    console.log(noClientUrl);
    console.log("\n");

    console.log("Presigned URL with client");
    console.log(clientUrl);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "CredentialsProviderError") {
      console.error(
        `There was an error getting your credentials. Are your local credentials configured?\n${caught.name}: ${caught.message}`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html#s3-create-presigendurl)》。

### 建立無伺服器應用程式來管理相片
<a name="cross_PAM_javascript_3_topic"></a>

下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。  
如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager) 上的完整範例。  
如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon Rekognition
+ Amazon S3
+ Amazon SNS

### 建立列出 Amazon S3 物件的網頁
<a name="s3_Scenario_ListObjectsWeb_javascript_3_topic"></a>

下列程式碼範例顯示如何在網頁中列出 Amazon S3 物件。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/web/s3/list-objects#code-examples)中設定和執行。
下列程式碼是對 AWS SDK 進行呼叫的相關 React 元件。您可以在前面的 GitHub 連結中找到包含此元件之應用程式的可執行版本。  

```
import { useEffect, useState } from "react";
import {
  ListObjectsCommand,
  type ListObjectsCommandOutput,
  S3Client,
} from "@aws-sdk/client-s3";
import { fromCognitoIdentityPool } from "@aws-sdk/credential-providers";
import "./App.css";

function App() {
  const [objects, setObjects] = useState<
    Required<ListObjectsCommandOutput>["Contents"]
  >([]);

  useEffect(() => {
    const client = new S3Client({
      region: "us-east-1",
      // Unless you have a public bucket, you'll need access to a private bucket.
      // One way to do this is to create an Amazon Cognito identity pool, attach a role to the pool,
      // and grant the role access to the 's3:GetObject' action.
      //
      // You'll also need to configure the CORS settings on the bucket to allow traffic from
      // this example site. Here's an example configuration that allows all origins. Don't
      // do this in production.
      //[
      //  {
      //    "AllowedHeaders": ["*"],
      //    "AllowedMethods": ["GET"],
      //    "AllowedOrigins": ["*"],
      //    "ExposeHeaders": [],
      //  },
      //]
      //
      credentials: fromCognitoIdentityPool({
        clientConfig: { region: "us-east-1" },
        identityPoolId: "<YOUR_IDENTITY_POOL_ID>",
      }),
    });
    const command = new ListObjectsCommand({ Bucket: "bucket-name" });
    client.send(command).then(({ Contents }) => setObjects(Contents || []));
  }, []);

  return (
    <div className="App">
      {objects.map((o) => (
        <div key={o.ETag}>{o.Key}</div>
      ))}
    </div>
  );
}

export default App;
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [ListObjects](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/ListObjectsCommand)。

### 建立 Amazon Textract Explorer 應用程式
<a name="cross_TextractExplorer_javascript_3_topic"></a>

下列程式碼範例示範如何透過互動式應用程式探索 Amazon Textract 輸出。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK 建置 React 應用程式，該應用程式使用 Amazon Textract 從文件映像擷取資料，並將其顯示在互動式網頁中。此範例會在 Web 瀏覽器中執行，且登入資料需要經過驗證的 Amazon Cognito 身分。它使用 Amazon Simple Storage Service (Amazon S3 進行儲存，對於通知，它會輪詢訂閱 Amazon Simple Notification Service (Amazon SNS)) 主題的 Amazon Simple Queue Service (Amazon SQS) 佇列。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/textract-react) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Cognito Identity
+ Amazon S3
+ Amazon SNS
+ Amazon SQS
+ Amazon Textract

### 刪除儲存貯體中的所有物件
<a name="s3_Scenario_DeleteAllObjects_javascript_3_topic"></a>

下列程式碼範例示範如何刪除 Amazon S3 儲存貯體中的所有物件。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
刪除給定 Amazon S3 儲存貯體的所有物件。  

```
import {
  DeleteObjectsCommand,
  paginateListObjectsV2,
  S3Client,
} from "@aws-sdk/client-s3";

/**
 *
 * @param {{ bucketName: string }} config
 */
export const main = async ({ bucketName }) => {
  const client = new S3Client({});
  try {
    console.log(`Deleting all objects in bucket: ${bucketName}`);

    const paginator = paginateListObjectsV2(
      { client },
      {
        Bucket: bucketName,
      },
    );

    const objectKeys = [];
    for await (const { Contents } of paginator) {
      objectKeys.push(...Contents.map((obj) => ({ Key: obj.Key })));
    }

    const deleteCommand = new DeleteObjectsCommand({
      Bucket: bucketName,
      Delete: { Objects: objectKeys },
    });

    await client.send(deleteCommand);

    console.log(`All objects deleted from bucket: ${bucketName}`);
  } catch (caught) {
    if (caught instanceof Error) {
      console.error(
        `Failed to empty ${bucketName}. ${caught.name}: ${caught.message}`,
      );
    }
  }
};

// Call function if run directly.
import { fileURLToPath } from "node:url";
import { parseArgs } from "node:util";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const options = {
    bucketName: {
      type: "string",
    },
  };

  const { values } = parseArgs({ options });
  main(values);
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [DeleteObjects](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/DeleteObjectsCommand)
  + [ListObjectsV2](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/ListObjectsV2Command)

### 偵測映像中的物件
<a name="cross_RekognitionPhotoAnalyzer_javascript_3_topic"></a>

下列程式碼範例示範如何建置應用程式，該應用程式可使用 Amazon Rekognition 依影像中的類別偵測物件。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Amazon Rekognition 搭配 適用於 JavaScript 的 AWS SDK 來建立使用 Amazon Rekognition 的應用程式，以在位於 Amazon Simple Storage Service (Amazon S3) 儲存貯體的影像中依類別識別物件。此應用程式可使用 Amazon Simple Email Service (Amazon SES) 向管理員傳送包含結果的電子郵件通知。  
了解如何：  
+ 使用 Amazon Cognito 建立未經身分驗證的使用者。
+ 使用 Amazon Rekognition 分析映像中的物件。
+ 驗證 Amazon SES 的電子郵件地址。
+ 使用 Amazon SES 傳送電子郵件通知。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo_analyzer) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Rekognition
+ Amazon S3
+ Amazon SES

### 鎖定 Amazon S3 物件
<a name="s3_Scenario_ObjectLock_javascript_3_topic"></a>

下列程式碼範例示範如何使用 S3 物件鎖定功能。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3/scenarios/object-locking#code-examples)中設定和執行。
案例的進入點 (index.js)。這會協調所有步驟。請造訪 GitHub 以查看 Scenario、ScenarioInput、ScenarioOutput 和 ScenarioAction 的實作詳細資訊。  

```
import * as Scenarios from "@aws-doc-sdk-examples/lib/scenario/index.js";
import {
  exitOnFalse,
  loadState,
  saveState,
} from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";

import { welcome, welcomeContinue } from "./welcome.steps.js";
import {
  confirmCreateBuckets,
  confirmPopulateBuckets,
  confirmSetLegalHoldFileEnabled,
  confirmSetLegalHoldFileRetention,
  confirmSetRetentionPeriodFileEnabled,
  confirmSetRetentionPeriodFileRetention,
  confirmUpdateLockPolicy,
  confirmUpdateRetention,
  createBuckets,
  createBucketsAction,
  getBucketPrefix,
  populateBuckets,
  populateBucketsAction,
  setLegalHoldFileEnabledAction,
  setLegalHoldFileRetentionAction,
  setRetentionPeriodFileEnabledAction,
  setRetentionPeriodFileRetentionAction,
  updateLockPolicy,
  updateLockPolicyAction,
  updateRetention,
  updateRetentionAction,
} from "./setup.steps.js";

/**
 * @param {Scenarios} scenarios
 * @param {Record<string, any>} initialState
 */
export const getWorkflowStages = (scenarios, initialState = {}) => {
  const client = new S3Client({});

  return {
    deploy: new scenarios.Scenario(
      "S3 Object Locking - Deploy",
      [
        welcome(scenarios),
        welcomeContinue(scenarios),
        exitOnFalse(scenarios, "welcomeContinue"),
        getBucketPrefix(scenarios),
        createBuckets(scenarios),
        confirmCreateBuckets(scenarios),
        exitOnFalse(scenarios, "confirmCreateBuckets"),
        createBucketsAction(scenarios, client),
        updateRetention(scenarios),
        confirmUpdateRetention(scenarios),
        exitOnFalse(scenarios, "confirmUpdateRetention"),
        updateRetentionAction(scenarios, client),
        populateBuckets(scenarios),
        confirmPopulateBuckets(scenarios),
        exitOnFalse(scenarios, "confirmPopulateBuckets"),
        populateBucketsAction(scenarios, client),
        updateLockPolicy(scenarios),
        confirmUpdateLockPolicy(scenarios),
        exitOnFalse(scenarios, "confirmUpdateLockPolicy"),
        updateLockPolicyAction(scenarios, client),
        confirmSetLegalHoldFileEnabled(scenarios),
        setLegalHoldFileEnabledAction(scenarios, client),
        confirmSetRetentionPeriodFileEnabled(scenarios),
        setRetentionPeriodFileEnabledAction(scenarios, client),
        confirmSetLegalHoldFileRetention(scenarios),
        setLegalHoldFileRetentionAction(scenarios, client),
        confirmSetRetentionPeriodFileRetention(scenarios),
        setRetentionPeriodFileRetentionAction(scenarios, client),
        saveState,
      ],
      initialState,
    ),
    demo: new scenarios.Scenario(
      "S3 Object Locking - Demo",
      [loadState, replAction(scenarios, client)],
      initialState,
    ),
    clean: new scenarios.Scenario(
      "S3 Object Locking - Destroy",
      [
        loadState,
        confirmCleanup(scenarios),
        exitOnFalse(scenarios, "confirmCleanup"),
        cleanupAction(scenarios, client),
      ],
      initialState,
    ),
  };
};

// Call function if run directly
import { fileURLToPath } from "node:url";
import { S3Client } from "@aws-sdk/client-s3";
import { cleanupAction, confirmCleanup } from "./clean.steps.js";
import { replAction } from "./repl.steps.js";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const objectLockingScenarios = getWorkflowStages(Scenarios);
  Scenarios.parseScenarioArgs(objectLockingScenarios, {
    name: "Amazon S3 object locking workflow",
    description:
      "Work with Amazon Simple Storage Service (Amazon S3) object locking features.",
    synopsis:
      "node index.js --scenario <deploy | demo | clean> [-h|--help] [-y|--yes] [-v|--verbose]",
  });
}
```
將歡迎訊息輸出至主控台 (welcome.steps.js)。  

```
/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @param {Scenarios} scenarios
 */
const welcome = (scenarios) =>
  new scenarios.ScenarioOutput(
    "welcome",
    "Welcome to the Amazon Simple Storage Service (S3) Object Locking Feature Scenario. For this workflow, we will use the AWS SDK for JavaScript to create several S3 buckets and files to demonstrate working with S3 locking features.",
    { header: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const welcomeContinue = (scenarios) =>
  new scenarios.ScenarioInput(
    "welcomeContinue",
    "Press Enter when you are ready to start.",
    { type: "confirm" },
  );

export { welcome, welcomeContinue };
```
部署儲存貯體、物件和檔案設定 (setup.steps.js)。  

```
import {
  BucketVersioningStatus,
  ChecksumAlgorithm,
  CreateBucketCommand,
  MFADeleteStatus,
  PutBucketVersioningCommand,
  PutObjectCommand,
  PutObjectLockConfigurationCommand,
  PutObjectLegalHoldCommand,
  PutObjectRetentionCommand,
  ObjectLockLegalHoldStatus,
  ObjectLockRetentionMode,
  GetBucketVersioningCommand,
  BucketAlreadyExists,
  BucketAlreadyOwnedByYou,
  S3ServiceException,
  waitUntilBucketExists,
} from "@aws-sdk/client-s3";

import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @typedef {import("@aws-sdk/client-s3").S3Client} S3Client
 */

/**
 * @param {Scenarios} scenarios
 */
const getBucketPrefix = (scenarios) =>
  new scenarios.ScenarioInput(
    "bucketPrefix",
    "Provide a prefix that will be used for bucket creation.",
    { type: "input", default: "amzn-s3-demo-bucket" },
  );

/**
 * @param {Scenarios} scenarios
 */
const createBuckets = (scenarios) =>
  new scenarios.ScenarioOutput(
    "createBuckets",
    (state) => `The following buckets will be created:
         ${state.bucketPrefix}-no-lock with object lock False.
         ${state.bucketPrefix}-lock-enabled with object lock True.
         ${state.bucketPrefix}-retention-after-creation with object lock False.`,
    { preformatted: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmCreateBuckets = (scenarios) =>
  new scenarios.ScenarioInput("confirmCreateBuckets", "Create the buckets?", {
    type: "confirm",
  });

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const createBucketsAction = (scenarios, client) =>
  new scenarios.ScenarioAction("createBucketsAction", async (state) => {
    const noLockBucketName = `${state.bucketPrefix}-no-lock`;
    const lockEnabledBucketName = `${state.bucketPrefix}-lock-enabled`;
    const retentionBucketName = `${state.bucketPrefix}-retention-after-creation`;

    try {
      await client.send(new CreateBucketCommand({ Bucket: noLockBucketName }));
      await waitUntilBucketExists({ client }, { Bucket: noLockBucketName });
      await client.send(
        new CreateBucketCommand({
          Bucket: lockEnabledBucketName,
          ObjectLockEnabledForBucket: true,
        }),
      );
      await waitUntilBucketExists(
        { client },
        { Bucket: lockEnabledBucketName },
      );
      await client.send(
        new CreateBucketCommand({ Bucket: retentionBucketName }),
      );
      await waitUntilBucketExists({ client }, { Bucket: retentionBucketName });

      state.noLockBucketName = noLockBucketName;
      state.lockEnabledBucketName = lockEnabledBucketName;
      state.retentionBucketName = retentionBucketName;
    } catch (caught) {
      if (
        caught instanceof BucketAlreadyExists ||
        caught instanceof BucketAlreadyOwnedByYou
      ) {
        console.error(`${caught.name}: ${caught.message}`);
        state.earlyExit = true;
      } else {
        throw caught;
      }
    }
  });

/**
 * @param {Scenarios} scenarios
 */
const populateBuckets = (scenarios) =>
  new scenarios.ScenarioOutput(
    "populateBuckets",
    (state) => `The following test files will be created:
         file0.txt in ${state.bucketPrefix}-no-lock.
         file1.txt in ${state.bucketPrefix}-no-lock.
         file0.txt in ${state.bucketPrefix}-lock-enabled.
         file1.txt in ${state.bucketPrefix}-lock-enabled.
         file0.txt in ${state.bucketPrefix}-retention-after-creation.
         file1.txt in ${state.bucketPrefix}-retention-after-creation.`,
    { preformatted: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmPopulateBuckets = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmPopulateBuckets",
    "Populate the buckets?",
    { type: "confirm" },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const populateBucketsAction = (scenarios, client) =>
  new scenarios.ScenarioAction("populateBucketsAction", async (state) => {
    try {
      await client.send(
        new PutObjectCommand({
          Bucket: state.noLockBucketName,
          Key: "file0.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
      await client.send(
        new PutObjectCommand({
          Bucket: state.noLockBucketName,
          Key: "file1.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
      await client.send(
        new PutObjectCommand({
          Bucket: state.lockEnabledBucketName,
          Key: "file0.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
      await client.send(
        new PutObjectCommand({
          Bucket: state.lockEnabledBucketName,
          Key: "file1.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
      await client.send(
        new PutObjectCommand({
          Bucket: state.retentionBucketName,
          Key: "file0.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
      await client.send(
        new PutObjectCommand({
          Bucket: state.retentionBucketName,
          Key: "file1.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
    } catch (caught) {
      if (caught instanceof S3ServiceException) {
        console.error(
          `Error from S3 while uploading object.  ${caught.name}: ${caught.message}`,
        );
      } else {
        throw caught;
      }
    }
  });

/**
 * @param {Scenarios} scenarios
 */
const updateRetention = (scenarios) =>
  new scenarios.ScenarioOutput(
    "updateRetention",
    (state) => `A bucket can be configured to use object locking with a default retention period.
A default retention period will be configured for ${state.bucketPrefix}-retention-after-creation.`,
    { preformatted: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmUpdateRetention = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmUpdateRetention",
    "Configure default retention period?",
    { type: "confirm" },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const updateRetentionAction = (scenarios, client) =>
  new scenarios.ScenarioAction("updateRetentionAction", async (state) => {
    await client.send(
      new PutBucketVersioningCommand({
        Bucket: state.retentionBucketName,
        VersioningConfiguration: {
          MFADelete: MFADeleteStatus.Disabled,
          Status: BucketVersioningStatus.Enabled,
        },
      }),
    );

    const getBucketVersioning = new GetBucketVersioningCommand({
      Bucket: state.retentionBucketName,
    });

    await retry({ intervalInMs: 500, maxRetries: 10 }, async () => {
      const { Status } = await client.send(getBucketVersioning);
      if (Status !== "Enabled") {
        throw new Error("Bucket versioning is not enabled.");
      }
    });

    await client.send(
      new PutObjectLockConfigurationCommand({
        Bucket: state.retentionBucketName,
        ObjectLockConfiguration: {
          ObjectLockEnabled: "Enabled",
          Rule: {
            DefaultRetention: {
              Mode: "GOVERNANCE",
              Years: 1,
            },
          },
        },
      }),
    );
  });

/**
 * @param {Scenarios} scenarios
 */
const updateLockPolicy = (scenarios) =>
  new scenarios.ScenarioOutput(
    "updateLockPolicy",
    (state) => `Object lock policies can also be added to existing buckets.
An object lock policy will be added to ${state.bucketPrefix}-lock-enabled.`,
    { preformatted: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmUpdateLockPolicy = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmUpdateLockPolicy",
    "Add object lock policy?",
    { type: "confirm" },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const updateLockPolicyAction = (scenarios, client) =>
  new scenarios.ScenarioAction("updateLockPolicyAction", async (state) => {
    await client.send(
      new PutObjectLockConfigurationCommand({
        Bucket: state.lockEnabledBucketName,
        ObjectLockConfiguration: {
          ObjectLockEnabled: "Enabled",
        },
      }),
    );
  });

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const confirmSetLegalHoldFileEnabled = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmSetLegalHoldFileEnabled",
    (state) =>
      `Would you like to add a legal hold to file0.txt in ${state.lockEnabledBucketName}?`,
    {
      type: "confirm",
    },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const setLegalHoldFileEnabledAction = (scenarios, client) =>
  new scenarios.ScenarioAction(
    "setLegalHoldFileEnabledAction",
    async (state) => {
      await client.send(
        new PutObjectLegalHoldCommand({
          Bucket: state.lockEnabledBucketName,
          Key: "file0.txt",
          LegalHold: {
            Status: ObjectLockLegalHoldStatus.ON,
          },
        }),
      );
      console.log(
        `Modified legal hold for file0.txt in ${state.lockEnabledBucketName}.`,
      );
    },
    { skipWhen: (state) => !state.confirmSetLegalHoldFileEnabled },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const confirmSetRetentionPeriodFileEnabled = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmSetRetentionPeriodFileEnabled",
    (state) =>
      `Would you like to add a 1 day Governance retention period to file1.txt in ${state.lockEnabledBucketName}? 
Reminder: Only a user with the s3:BypassGovernanceRetention permission will be able to delete this file or its bucket until the retention period has expired.`,
    {
      type: "confirm",
    },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const setRetentionPeriodFileEnabledAction = (scenarios, client) =>
  new scenarios.ScenarioAction(
    "setRetentionPeriodFileEnabledAction",
    async (state) => {
      const retentionDate = new Date();
      retentionDate.setDate(retentionDate.getDate() + 1);
      await client.send(
        new PutObjectRetentionCommand({
          Bucket: state.lockEnabledBucketName,
          Key: "file1.txt",
          Retention: {
            Mode: ObjectLockRetentionMode.GOVERNANCE,
            RetainUntilDate: retentionDate,
          },
        }),
      );
      console.log(
        `Set retention for file1.txt in ${state.lockEnabledBucketName} until ${retentionDate.toISOString().split("T")[0]}.`,
      );
    },
    { skipWhen: (state) => !state.confirmSetRetentionPeriodFileEnabled },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const confirmSetLegalHoldFileRetention = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmSetLegalHoldFileRetention",
    (state) =>
      `Would you like to add a legal hold to file0.txt in ${state.retentionBucketName}?`,
    {
      type: "confirm",
    },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const setLegalHoldFileRetentionAction = (scenarios, client) =>
  new scenarios.ScenarioAction(
    "setLegalHoldFileRetentionAction",
    async (state) => {
      await client.send(
        new PutObjectLegalHoldCommand({
          Bucket: state.retentionBucketName,
          Key: "file0.txt",
          LegalHold: {
            Status: ObjectLockLegalHoldStatus.ON,
          },
        }),
      );
      console.log(
        `Modified legal hold for file0.txt in ${state.retentionBucketName}.`,
      );
    },
    { skipWhen: (state) => !state.confirmSetLegalHoldFileRetention },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmSetRetentionPeriodFileRetention = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmSetRetentionPeriodFileRetention",
    (state) =>
      `Would you like to add a 1 day Governance retention period to file1.txt in ${state.retentionBucketName}?
Reminder: Only a user with the s3:BypassGovernanceRetention permission will be able to delete this file or its bucket until the retention period has expired.`,
    {
      type: "confirm",
    },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const setRetentionPeriodFileRetentionAction = (scenarios, client) =>
  new scenarios.ScenarioAction(
    "setRetentionPeriodFileRetentionAction",
    async (state) => {
      const retentionDate = new Date();
      retentionDate.setDate(retentionDate.getDate() + 1);
      await client.send(
        new PutObjectRetentionCommand({
          Bucket: state.retentionBucketName,
          Key: "file1.txt",
          Retention: {
            Mode: ObjectLockRetentionMode.GOVERNANCE,
            RetainUntilDate: retentionDate,
          },
          BypassGovernanceRetention: true,
        }),
      );
      console.log(
        `Set retention for file1.txt in ${state.retentionBucketName} until ${retentionDate.toISOString().split("T")[0]}.`,
      );
    },
    { skipWhen: (state) => !state.confirmSetRetentionPeriodFileRetention },
  );

export {
  getBucketPrefix,
  createBuckets,
  confirmCreateBuckets,
  createBucketsAction,
  populateBuckets,
  confirmPopulateBuckets,
  populateBucketsAction,
  updateRetention,
  confirmUpdateRetention,
  updateRetentionAction,
  updateLockPolicy,
  confirmUpdateLockPolicy,
  updateLockPolicyAction,
  confirmSetLegalHoldFileEnabled,
  setLegalHoldFileEnabledAction,
  confirmSetRetentionPeriodFileEnabled,
  setRetentionPeriodFileEnabledAction,
  confirmSetLegalHoldFileRetention,
  setLegalHoldFileRetentionAction,
  confirmSetRetentionPeriodFileRetention,
  setRetentionPeriodFileRetentionAction,
};
```
檢視和刪除儲存貯體中的檔案 (repl.steps.js)。  

```
import {
  ChecksumAlgorithm,
  DeleteObjectCommand,
  GetObjectLegalHoldCommand,
  GetObjectLockConfigurationCommand,
  GetObjectRetentionCommand,
  ListObjectVersionsCommand,
  PutObjectCommand,
} from "@aws-sdk/client-s3";

/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @typedef {import("@aws-sdk/client-s3").S3Client} S3Client
 */

const choices = {
  EXIT: 0,
  LIST_ALL_FILES: 1,
  DELETE_FILE: 2,
  DELETE_FILE_WITH_RETENTION: 3,
  OVERWRITE_FILE: 4,
  VIEW_RETENTION_SETTINGS: 5,
  VIEW_LEGAL_HOLD_SETTINGS: 6,
};

/**
 * @param {Scenarios} scenarios
 */
const replInput = (scenarios) =>
  new scenarios.ScenarioInput(
    "replChoice",
    "Explore the S3 locking features by selecting one of the following choices",
    {
      type: "select",
      choices: [
        { name: "List all files in buckets", value: choices.LIST_ALL_FILES },
        { name: "Attempt to delete a file.", value: choices.DELETE_FILE },
        {
          name: "Attempt to delete a file with retention period bypass.",
          value: choices.DELETE_FILE_WITH_RETENTION,
        },
        { name: "Attempt to overwrite a file.", value: choices.OVERWRITE_FILE },
        {
          name: "View the object and bucket retention settings for a file.",
          value: choices.VIEW_RETENTION_SETTINGS,
        },
        {
          name: "View the legal hold settings for a file.",
          value: choices.VIEW_LEGAL_HOLD_SETTINGS,
        },
        { name: "Finish the workflow.", value: choices.EXIT },
      ],
    },
  );

/**
 * @param {S3Client} client
 * @param {string[]} buckets
 */
const getAllFiles = async (client, buckets) => {
  /** @type {{bucket: string, key: string, version: string}[]} */
  const files = [];
  for (const bucket of buckets) {
    const objectsResponse = await client.send(
      new ListObjectVersionsCommand({ Bucket: bucket }),
    );
    for (const version of objectsResponse.Versions || []) {
      const { Key, VersionId } = version;
      files.push({ bucket, key: Key, version: VersionId });
    }
  }

  return files;
};

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const replAction = (scenarios, client) =>
  new scenarios.ScenarioAction(
    "replAction",
    async (state) => {
      const files = await getAllFiles(client, [
        state.noLockBucketName,
        state.lockEnabledBucketName,
        state.retentionBucketName,
      ]);

      const fileInput = new scenarios.ScenarioInput(
        "selectedFile",
        "Select a file:",
        {
          type: "select",
          choices: files.map((file, index) => ({
            name: `${index + 1}: ${file.bucket}: ${file.key} (version: ${
              file.version
            })`,
            value: index,
          })),
        },
      );

      const { replChoice } = state;

      switch (replChoice) {
        case choices.LIST_ALL_FILES: {
          const files = await getAllFiles(client, [
            state.noLockBucketName,
            state.lockEnabledBucketName,
            state.retentionBucketName,
          ]);
          state.replOutput = files
            .map(
              (file) =>
                `${file.bucket}: ${file.key} (version: ${file.version})`,
            )
            .join("\n");
          break;
        }
        case choices.DELETE_FILE: {
          /** @type {number} */
          const fileToDelete = await fileInput.handle(state);
          const selectedFile = files[fileToDelete];
          try {
            await client.send(
              new DeleteObjectCommand({
                Bucket: selectedFile.bucket,
                Key: selectedFile.key,
                VersionId: selectedFile.version,
              }),
            );
            state.replOutput = `Deleted ${selectedFile.key} in ${selectedFile.bucket}.`;
          } catch (err) {
            state.replOutput = `Unable to delete object ${selectedFile.key} in bucket ${selectedFile.bucket}: ${err.message}`;
          }
          break;
        }
        case choices.DELETE_FILE_WITH_RETENTION: {
          /** @type {number} */
          const fileToDelete = await fileInput.handle(state);
          const selectedFile = files[fileToDelete];
          try {
            await client.send(
              new DeleteObjectCommand({
                Bucket: selectedFile.bucket,
                Key: selectedFile.key,
                VersionId: selectedFile.version,
                BypassGovernanceRetention: true,
              }),
            );
            state.replOutput = `Deleted ${selectedFile.key} in ${selectedFile.bucket}.`;
          } catch (err) {
            state.replOutput = `Unable to delete object ${selectedFile.key} in bucket ${selectedFile.bucket}: ${err.message}`;
          }
          break;
        }
        case choices.OVERWRITE_FILE: {
          /** @type {number} */
          const fileToOverwrite = await fileInput.handle(state);
          const selectedFile = files[fileToOverwrite];
          try {
            await client.send(
              new PutObjectCommand({
                Bucket: selectedFile.bucket,
                Key: selectedFile.key,
                Body: "New content",
                ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
              }),
            );
            state.replOutput = `Overwrote ${selectedFile.key} in ${selectedFile.bucket}.`;
          } catch (err) {
            state.replOutput = `Unable to overwrite object ${selectedFile.key} in bucket ${selectedFile.bucket}: ${err.message}`;
          }
          break;
        }
        case choices.VIEW_RETENTION_SETTINGS: {
          /** @type {number} */
          const fileToView = await fileInput.handle(state);
          const selectedFile = files[fileToView];
          try {
            const retention = await client.send(
              new GetObjectRetentionCommand({
                Bucket: selectedFile.bucket,
                Key: selectedFile.key,
                VersionId: selectedFile.version,
              }),
            );
            const bucketConfig = await client.send(
              new GetObjectLockConfigurationCommand({
                Bucket: selectedFile.bucket,
              }),
            );
            state.replOutput = `Object retention for ${selectedFile.key} in ${selectedFile.bucket}: ${retention.Retention?.Mode} until ${retention.Retention?.RetainUntilDate?.toISOString()}.
Bucket object lock config for ${selectedFile.bucket} in ${selectedFile.bucket}:
Enabled: ${bucketConfig.ObjectLockConfiguration?.ObjectLockEnabled}
Rule: ${JSON.stringify(bucketConfig.ObjectLockConfiguration?.Rule?.DefaultRetention)}`;
          } catch (err) {
            state.replOutput = `Unable to fetch object lock retention: '${err.message}'`;
          }
          break;
        }
        case choices.VIEW_LEGAL_HOLD_SETTINGS: {
          /** @type {number} */
          const fileToView = await fileInput.handle(state);
          const selectedFile = files[fileToView];
          try {
            const legalHold = await client.send(
              new GetObjectLegalHoldCommand({
                Bucket: selectedFile.bucket,
                Key: selectedFile.key,
                VersionId: selectedFile.version,
              }),
            );
            state.replOutput = `Object legal hold for ${selectedFile.key} in ${selectedFile.bucket}: Status: ${legalHold.LegalHold?.Status}`;
          } catch (err) {
            state.replOutput = `Unable to fetch legal hold: '${err.message}'`;
          }
          break;
        }
        default:
          throw new Error(`Invalid replChoice: ${replChoice}`);
      }
    },
    {
      whileConfig: {
        whileFn: ({ replChoice }) => replChoice !== choices.EXIT,
        input: replInput(scenarios),
        output: new scenarios.ScenarioOutput(
          "REPL output",
          (state) => state.replOutput,
          { preformatted: true },
        ),
      },
    },
  );

export { replInput, replAction, choices };
```
銷毀所有建立的資源 (clean.steps.js)。  

```
import {
  DeleteObjectCommand,
  DeleteBucketCommand,
  ListObjectVersionsCommand,
  GetObjectLegalHoldCommand,
  GetObjectRetentionCommand,
  PutObjectLegalHoldCommand,
} from "@aws-sdk/client-s3";

/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @typedef {import("@aws-sdk/client-s3").S3Client} S3Client
 */

/**
 * @param {Scenarios} scenarios
 */
const confirmCleanup = (scenarios) =>
  new scenarios.ScenarioInput("confirmCleanup", "Clean up resources?", {
    type: "confirm",
  });

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const cleanupAction = (scenarios, client) =>
  new scenarios.ScenarioAction("cleanupAction", async (state) => {
    const { noLockBucketName, lockEnabledBucketName, retentionBucketName } =
      state;

    const buckets = [
      noLockBucketName,
      lockEnabledBucketName,
      retentionBucketName,
    ];

    for (const bucket of buckets) {
      /** @type {import("@aws-sdk/client-s3").ListObjectVersionsCommandOutput} */
      let objectsResponse;

      try {
        objectsResponse = await client.send(
          new ListObjectVersionsCommand({
            Bucket: bucket,
          }),
        );
      } catch (e) {
        if (e instanceof Error && e.name === "NoSuchBucket") {
          console.log("Object's bucket has already been deleted.");
          continue;
        }
        throw e;
      }

      for (const version of objectsResponse.Versions || []) {
        const { Key, VersionId } = version;

        try {
          const legalHold = await client.send(
            new GetObjectLegalHoldCommand({
              Bucket: bucket,
              Key,
              VersionId,
            }),
          );

          if (legalHold.LegalHold?.Status === "ON") {
            await client.send(
              new PutObjectLegalHoldCommand({
                Bucket: bucket,
                Key,
                VersionId,
                LegalHold: {
                  Status: "OFF",
                },
              }),
            );
          }
        } catch (err) {
          console.log(
            `Unable to fetch legal hold for ${Key} in ${bucket}: '${err.message}'`,
          );
        }

        try {
          const retention = await client.send(
            new GetObjectRetentionCommand({
              Bucket: bucket,
              Key,
              VersionId,
            }),
          );

          if (retention.Retention?.Mode === "GOVERNANCE") {
            await client.send(
              new DeleteObjectCommand({
                Bucket: bucket,
                Key,
                VersionId,
                BypassGovernanceRetention: true,
              }),
            );
          }
        } catch (err) {
          console.log(
            `Unable to fetch object lock retention for ${Key} in ${bucket}: '${err.message}'`,
          );
        }

        await client.send(
          new DeleteObjectCommand({
            Bucket: bucket,
            Key,
            VersionId,
          }),
        );
      }

      await client.send(new DeleteBucketCommand({ Bucket: bucket }));
      console.log(`Delete for ${bucket} complete.`);
    }
  });

export { confirmCleanup, cleanupAction };
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [GetObjectLegalHold](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectLegalHoldCommand)
  + [GetObjectLockConfiguration](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectLockConfigurationCommand)
  + [GetObjectRetention](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectRetentionCommand)
  + [PutObjectLegalHold](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectLegalHoldCommand)
  + [PutObjectLockConfiguration](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectLockConfigurationCommand)
  + [PutObjectRetention](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectRetentionCommand)

### 提出條件式請求
<a name="s3_Scenario_ConditionalRequests_javascript_3_topic"></a>

下列程式碼範例示範如何將先決條件新增至 Amazon S3 請求。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3/scenarios/conditional-requests#code-examples)中設定和執行。
工作流程的進入點 (index.js)。這會協調所有步驟。請造訪 GitHub 以查看 Scenario、ScenarioInput、ScenarioOutput 和 ScenarioAction 的實作詳細資訊。  

```
import * as Scenarios from "@aws-doc-sdk-examples/lib/scenario/index.js";
import {
  exitOnFalse,
  loadState,
  saveState,
} from "@aws-doc-sdk-examples/lib/scenario/steps-common.js";

import { welcome, welcomeContinue } from "./welcome.steps.js";
import {
  confirmCreateBuckets,
  confirmPopulateBuckets,
  createBuckets,
  createBucketsAction,
  getBucketPrefix,
  populateBuckets,
  populateBucketsAction,
} from "./setup.steps.js";

/**
 * @param {Scenarios} scenarios
 * @param {Record<string, any>} initialState
 */
export const getWorkflowStages = (scenarios, initialState = {}) => {
  const client = new S3Client({});

  return {
    deploy: new scenarios.Scenario(
      "S3 Conditional Requests - Deploy",
      [
        welcome(scenarios),
        welcomeContinue(scenarios),
        exitOnFalse(scenarios, "welcomeContinue"),
        getBucketPrefix(scenarios),
        createBuckets(scenarios),
        confirmCreateBuckets(scenarios),
        exitOnFalse(scenarios, "confirmCreateBuckets"),
        createBucketsAction(scenarios, client),
        populateBuckets(scenarios),
        confirmPopulateBuckets(scenarios),
        exitOnFalse(scenarios, "confirmPopulateBuckets"),
        populateBucketsAction(scenarios, client),
        saveState,
      ],
      initialState,
    ),
    demo: new scenarios.Scenario(
      "S3 Conditional Requests - Demo",
      [loadState, welcome(scenarios), replAction(scenarios, client)],
      initialState,
    ),
    clean: new scenarios.Scenario(
      "S3 Conditional Requests - Destroy",
      [
        loadState,
        confirmCleanup(scenarios),
        exitOnFalse(scenarios, "confirmCleanup"),
        cleanupAction(scenarios, client),
      ],
      initialState,
    ),
  };
};

// Call function if run directly
import { fileURLToPath } from "node:url";
import { S3Client } from "@aws-sdk/client-s3";
import { cleanupAction, confirmCleanup } from "./clean.steps.js";
import { replAction } from "./repl.steps.js";

if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const objectLockingScenarios = getWorkflowStages(Scenarios);
  Scenarios.parseScenarioArgs(objectLockingScenarios, {
    name: "Amazon S3 object locking workflow",
    description:
      "Work with Amazon Simple Storage Service (Amazon S3) object locking features.",
    synopsis:
      "node index.js --scenario <deploy | demo | clean> [-h|--help] [-y|--yes] [-v|--verbose]",
  });
}
```
將歡迎訊息輸出至主控台 (welcome.steps.js)。  

```
/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @param {Scenarios} scenarios
 */
const welcome = (scenarios) =>
  new scenarios.ScenarioOutput(
    "welcome",
    "This example demonstrates the use of conditional requests for S3 operations." +
      " You can use conditional requests to add preconditions to S3 read requests to return " +
      "or copy an object based on its Entity tag (ETag), or last modified date.You can use " +
      "a conditional write requests to prevent overwrites by ensuring there is no existing " +
      "object with the same key.\n" +
      "This example will enable you to perform conditional reads and writes that will succeed " +
      "or fail based on your selected options.\n" +
      "Sample buckets and a sample object will be created as part of the example.\n" +
      "Some steps require a key name prefix to be defined by the user. Before you begin, you can " +
      "optionally edit this prefix in ./object_name.json. If you do so, please reload the scenario before you begin.",
    { header: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const welcomeContinue = (scenarios) =>
  new scenarios.ScenarioInput(
    "welcomeContinue",
    "Press Enter when you are ready to start.",
    { type: "confirm" },
  );

export { welcome, welcomeContinue };
```
部署儲存貯體和物件(setup.steps.js)。  

```
import {
  ChecksumAlgorithm,
  CreateBucketCommand,
  PutObjectCommand,
  BucketAlreadyExists,
  BucketAlreadyOwnedByYou,
  S3ServiceException,
  waitUntilBucketExists,
} from "@aws-sdk/client-s3";

/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @typedef {import("@aws-sdk/client-s3").S3Client} S3Client
 */

/**
 * @param {Scenarios} scenarios
 */
const getBucketPrefix = (scenarios) =>
  new scenarios.ScenarioInput(
    "bucketPrefix",
    "Provide a prefix that will be used for bucket creation.",
    { type: "input", default: "amzn-s3-demo-bucket" },
  );
/**
 * @param {Scenarios} scenarios
 */
const createBuckets = (scenarios) =>
  new scenarios.ScenarioOutput(
    "createBuckets",
    (state) => `The following buckets will be created:
         ${state.bucketPrefix}-source-bucket.
         ${state.bucketPrefix}-destination-bucket.`,
    { preformatted: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmCreateBuckets = (scenarios) =>
  new scenarios.ScenarioInput("confirmCreateBuckets", "Create the buckets?", {
    type: "confirm",
  });

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const createBucketsAction = (scenarios, client) =>
  new scenarios.ScenarioAction("createBucketsAction", async (state) => {
    const sourceBucketName = `${state.bucketPrefix}-source-bucket`;
    const destinationBucketName = `${state.bucketPrefix}-destination-bucket`;

    try {
      await client.send(
        new CreateBucketCommand({
          Bucket: sourceBucketName,
        }),
      );
      await waitUntilBucketExists({ client }, { Bucket: sourceBucketName });
      await client.send(
        new CreateBucketCommand({
          Bucket: destinationBucketName,
        }),
      );
      await waitUntilBucketExists(
        { client },
        { Bucket: destinationBucketName },
      );

      state.sourceBucketName = sourceBucketName;
      state.destinationBucketName = destinationBucketName;
    } catch (caught) {
      if (
        caught instanceof BucketAlreadyExists ||
        caught instanceof BucketAlreadyOwnedByYou
      ) {
        console.error(`${caught.name}: ${caught.message}`);
        state.earlyExit = true;
      } else {
        throw caught;
      }
    }
  });

/**
 * @param {Scenarios} scenarios
 */
const populateBuckets = (scenarios) =>
  new scenarios.ScenarioOutput(
    "populateBuckets",
    (state) => `The following test files will be created:
         file01.txt in ${state.bucketPrefix}-source-bucket.`,
    { preformatted: true },
  );

/**
 * @param {Scenarios} scenarios
 */
const confirmPopulateBuckets = (scenarios) =>
  new scenarios.ScenarioInput(
    "confirmPopulateBuckets",
    "Populate the buckets?",
    { type: "confirm" },
  );

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const populateBucketsAction = (scenarios, client) =>
  new scenarios.ScenarioAction("populateBucketsAction", async (state) => {
    try {
      await client.send(
        new PutObjectCommand({
          Bucket: state.sourceBucketName,
          Key: "file01.txt",
          Body: "Content",
          ChecksumAlgorithm: ChecksumAlgorithm.SHA256,
        }),
      );
    } catch (caught) {
      if (caught instanceof S3ServiceException) {
        console.error(
          `Error from S3 while uploading object.  ${caught.name}: ${caught.message}`,
        );
      } else {
        throw caught;
      }
    }
  });

export {
  confirmCreateBuckets,
  confirmPopulateBuckets,
  createBuckets,
  createBucketsAction,
  getBucketPrefix,
  populateBuckets,
  populateBucketsAction,
};
```
使用 S3 條件式請求 (repl.steps.js) 取得、複製和放置物件。  

```
import path from "node:path";
import { fileURLToPath } from "node:url";
import { dirname } from "node:path";

import {
  ListObjectVersionsCommand,
  GetObjectCommand,
  CopyObjectCommand,
  PutObjectCommand,
} from "@aws-sdk/client-s3";
import data from "./object_name.json" assert { type: "json" };
import { readFile } from "node:fs/promises";
import {
  ScenarioInput,
  Scenario,
  ScenarioAction,
  ScenarioOutput,
} from "../../../libs/scenario/index.js";

/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @typedef {import("@aws-sdk/client-s3").S3Client} S3Client
 */

const choices = {
  EXIT: 0,
  LIST_ALL_FILES: 1,
  CONDITIONAL_READ: 2,
  CONDITIONAL_COPY: 3,
  CONDITIONAL_WRITE: 4,
};

/**
 * @param {Scenarios} scenarios
 */
const replInput = (scenarios) =>
  new ScenarioInput(
    "replChoice",
    "Explore the S3 conditional request features by selecting one of the following choices",
    {
      type: "select",
      choices: [
        { name: "Print list of bucket items.", value: choices.LIST_ALL_FILES },
        {
          name: "Perform a conditional read.",
          value: choices.CONDITIONAL_READ,
        },
        {
          name: "Perform a conditional copy. These examples use the key name prefix defined in ./object_name.json.",
          value: choices.CONDITIONAL_COPY,
        },
        {
          name: "Perform a conditional write. This example use the sample file ./text02.txt.",
          value: choices.CONDITIONAL_WRITE,
        },
        { name: "Finish the workflow.", value: choices.EXIT },
      ],
    },
  );

/**
 * @param {S3Client} client
 * @param {string[]} buckets
 */
const getAllFiles = async (client, buckets) => {
  /** @type {{bucket: string, key: string, version: string}[]} */
  const files = [];
  for (const bucket of buckets) {
    const objectsResponse = await client.send(
      new ListObjectVersionsCommand({ Bucket: bucket }),
    );
    for (const version of objectsResponse.Versions || []) {
      const { Key } = version;
      files.push({ bucket, key: Key });
    }
  }
  return files;
};

/**
 * @param {S3Client} client
 * @param {string[]} buckets
 * @param {string} key
 */
const getEtag = async (client, bucket, key) => {
  const objectsResponse = await client.send(
    new GetObjectCommand({
      Bucket: bucket,
      Key: key,
    }),
  );
  return objectsResponse.ETag;
};

/**
 * @param {S3Client} client
 * @param {string[]} buckets
 */

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
export const replAction = (scenarios, client) =>
  new ScenarioAction(
    "replAction",
    async (state) => {
      const files = await getAllFiles(client, [
        state.sourceBucketName,
        state.destinationBucketName,
      ]);

      const fileInput = new scenarios.ScenarioInput(
        "selectedFile",
        "Select a file to use:",
        {
          type: "select",
          choices: files.map((file, index) => ({
            name: `${index + 1}: ${file.bucket}: ${file.key} (Etag: ${
              file.version
            })`,
            value: index,
          })),
        },
      );
      const condReadOptions = new scenarios.ScenarioInput(
        "selectOption",
        "Which conditional read action would you like to take?",
        {
          type: "select",
          choices: [
            "If-Match: using the object's ETag. This condition should succeed.",
            "If-None-Match: using the object's ETag. This condition should fail.",
            "If-Modified-Since: using yesterday's date. This condition should succeed.",
            "If-Unmodified-Since: using yesterday's date. This condition should fail.",
          ],
        },
      );
      const condCopyOptions = new scenarios.ScenarioInput(
        "selectOption",
        "Which conditional copy action would you like to take?",
        {
          type: "select",
          choices: [
            "If-Match: using the object's ETag. This condition should succeed.",
            "If-None-Match: using the object's ETag. This condition should fail.",
            "If-Modified-Since: using yesterday's date. This condition should succeed.",
            "If-Unmodified-Since: using yesterday's date. This condition should fail.",
          ],
        },
      );
      const condWriteOptions = new scenarios.ScenarioInput(
        "selectOption",
        "Which conditional write action would you like to take?",
        {
          type: "select",
          choices: [
            "IfNoneMatch condition on the object key: If the key is a duplicate, the write will fail.",
          ],
        },
      );

      const { replChoice } = state;

      switch (replChoice) {
        case choices.LIST_ALL_FILES: {
          const files = await getAllFiles(client, [
            state.sourceBucketName,
            state.destinationBucketName,
          ]);
          state.replOutput = files
            .map(
              (file) => `Items in bucket ${file.bucket}: object: ${file.key} `,
            )
            .join("\n");
          break;
        }
        case choices.CONDITIONAL_READ:
          {
            const selectedCondRead = await condReadOptions.handle(state);
            if (
              selectedCondRead ===
              "If-Match: using the object's ETag. This condition should succeed."
            ) {
              const bucket = state.sourceBucketName;
              const key = "file01.txt";
              const ETag = await getEtag(client, bucket, key);

              try {
                await client.send(
                  new GetObjectCommand({
                    Bucket: bucket,
                    Key: key,
                    IfMatch: ETag,
                  }),
                );
                state.replOutput = `${key} in bucket ${state.sourceBucketName} read because ETag provided matches the object's ETag.`;
              } catch (err) {
                state.replOutput = `Unable to read object ${key} in bucket ${state.sourceBucketName}: ${err.message}`;
              }
              break;
            }
            if (
              selectedCondRead ===
              "If-None-Match: using the object's ETag. This condition should fail."
            ) {
              const bucket = state.sourceBucketName;
              const key = "file01.txt";
              const ETag = await getEtag(client, bucket, key);

              try {
                await client.send(
                  new GetObjectCommand({
                    Bucket: bucket,
                    Key: key,
                    IfNoneMatch: ETag,
                  }),
                );
                state.replOutput = `${key} in ${state.sourceBucketName} was returned.`;
              } catch (err) {
                state.replOutput = `${key} in ${state.sourceBucketName} was not read: ${err.message}`;
              }
              break;
            }
            if (
              selectedCondRead ===
              "If-Modified-Since: using yesterday's date. This condition should succeed."
            ) {
              const date = new Date();
              date.setDate(date.getDate() - 1);

              const bucket = state.sourceBucketName;
              const key = "file01.txt";
              try {
                await client.send(
                  new GetObjectCommand({
                    Bucket: bucket,
                    Key: key,
                    IfModifiedSince: date,
                  }),
                );
                state.replOutput = `${key} in bucket ${state.sourceBucketName} read because it has been created or modified in the last 24 hours.`;
              } catch (err) {
                state.replOutput = `Unable to read object ${key} in bucket ${state.sourceBucketName}: ${err.message}`;
              }
              break;
            }
            if (
              selectedCondRead ===
              "If-Unmodified-Since: using yesterday's date. This condition should fail."
            ) {
              const bucket = state.sourceBucketName;
              const key = "file01.txt";

              const date = new Date();
              date.setDate(date.getDate() - 1);
              try {
                await client.send(
                  new GetObjectCommand({
                    Bucket: bucket,
                    Key: key,
                    IfUnmodifiedSince: date,
                  }),
                );
                state.replOutput = `${key} in ${state.sourceBucketName} was read.`;
              } catch (err) {
                state.replOutput = `${key} in ${state.sourceBucketName} was not read: ${err.message}`;
              }
              break;
            }
          }
          break;
        case choices.CONDITIONAL_COPY: {
          const selectedCondCopy = await condCopyOptions.handle(state);
          if (
            selectedCondCopy ===
            "If-Match: using the object's ETag. This condition should succeed."
          ) {
            const bucket = state.sourceBucketName;
            const key = "file01.txt";
            const ETag = await getEtag(client, bucket, key);

            const copySource = `${bucket}/${key}`;
            // Optionally edit the default key name prefix of the copied object in ./object_name.json.
            const name = data.name;
            const copiedKey = `${name}${key}`;
            try {
              await client.send(
                new CopyObjectCommand({
                  CopySource: copySource,
                  Bucket: state.destinationBucketName,
                  Key: copiedKey,
                  CopySourceIfMatch: ETag,
                }),
              );
              state.replOutput = `${key} copied as ${copiedKey} to bucket ${state.destinationBucketName} because ETag provided matches the object's ETag.`;
            } catch (err) {
              state.replOutput = `Unable to copy object ${key} as ${copiedKey} to bucket ${state.destinationBucketName}: ${err.message}`;
            }
            break;
          }
          if (
            selectedCondCopy ===
            "If-None-Match: using the object's ETag. This condition should fail."
          ) {
            const bucket = state.sourceBucketName;
            const key = "file01.txt";
            const ETag = await getEtag(client, bucket, key);
            const copySource = `${bucket}/${key}`;
            // Optionally edit the default key name prefix of the copied object in ./object_name.json.
            const name = data.name;
            const copiedKey = `${name}${key}`;

            try {
              await client.send(
                new CopyObjectCommand({
                  CopySource: copySource,
                  Bucket: state.destinationBucketName,
                  Key: copiedKey,
                  CopySourceIfNoneMatch: ETag,
                }),
              );
              state.replOutput = `${copiedKey} copied to bucket ${state.destinationBucketName}`;
            } catch (err) {
              state.replOutput = `Unable to copy object as ${key} as as ${copiedKey} to bucket ${state.destinationBucketName}: ${err.message}`;
            }
            break;
          }
          if (
            selectedCondCopy ===
            "If-Modified-Since: using yesterday's date. This condition should succeed."
          ) {
            const bucket = state.sourceBucketName;
            const key = "file01.txt";
            const copySource = `${bucket}/${key}`;
            // Optionally edit the default key name prefix of the copied object in ./object_name.json.
            const name = data.name;
            const copiedKey = `${name}${key}`;

            const date = new Date();
            date.setDate(date.getDate() - 1);

            try {
              await client.send(
                new CopyObjectCommand({
                  CopySource: copySource,
                  Bucket: state.destinationBucketName,
                  Key: copiedKey,
                  CopySourceIfModifiedSince: date,
                }),
              );
              state.replOutput = `${key} copied as ${copiedKey} to bucket ${state.destinationBucketName} because it has been created or modified in the last 24 hours.`;
            } catch (err) {
              state.replOutput = `Unable to copy object ${key} as ${copiedKey} to bucket ${state.destinationBucketName} : ${err.message}`;
            }
            break;
          }
          if (
            selectedCondCopy ===
            "If-Unmodified-Since: using yesterday's date. This condition should fail."
          ) {
            const bucket = state.sourceBucketName;
            const key = "file01.txt";
            const copySource = `${bucket}/${key}`;
            // Optionally edit the default key name prefix of the copied object in ./object_name.json.
            const name = data.name;
            const copiedKey = `${name}${key}`;

            const date = new Date();
            date.setDate(date.getDate() - 1);

            try {
              await client.send(
                new CopyObjectCommand({
                  CopySource: copySource,
                  Bucket: state.destinationBucketName,
                  Key: copiedKey,
                  CopySourceIfUnmodifiedSince: date,
                }),
              );
              state.replOutput = `${copiedKey} copied to bucket ${state.destinationBucketName} because it has not been created or modified in the last 24 hours.`;
            } catch (err) {
              state.replOutput = `Unable to copy object ${key} to bucket ${state.destinationBucketName}: ${err.message}`;
            }
          }
          break;
        }
        case choices.CONDITIONAL_WRITE:
          {
            const selectedCondWrite = await condWriteOptions.handle(state);
            if (
              selectedCondWrite ===
              "IfNoneMatch condition on the object key: If the key is a duplicate, the write will fail."
            ) {
              // Optionally edit the default key name prefix of the copied object in ./object_name.json.
              const key = "text02.txt";
              const __filename = fileURLToPath(import.meta.url);
              const __dirname = dirname(__filename);
              const filePath = path.join(__dirname, "text02.txt");
              try {
                await client.send(
                  new PutObjectCommand({
                    Bucket: `${state.destinationBucketName}`,
                    Key: `${key}`,
                    Body: await readFile(filePath),
                    IfNoneMatch: "*",
                  }),
                );
                state.replOutput = `${key} uploaded to bucket ${state.destinationBucketName} because the key is not a duplicate.`;
              } catch (err) {
                state.replOutput = `Unable to upload object to bucket ${state.destinationBucketName}:${err.message}`;
              }
              break;
            }
          }
          break;

        default:
          throw new Error(`Invalid replChoice: ${replChoice}`);
      }
    },
    {
      whileConfig: {
        whileFn: ({ replChoice }) => replChoice !== choices.EXIT,
        input: replInput(scenarios),
        output: new ScenarioOutput("REPL output", (state) => state.replOutput, {
          preformatted: true,
        }),
      },
    },
  );

export { replInput, choices };
```
銷毀所有建立的資源 (clean.steps.js)。  

```
import {
  DeleteObjectCommand,
  DeleteBucketCommand,
  ListObjectVersionsCommand,
} from "@aws-sdk/client-s3";

/**
 * @typedef {import("@aws-doc-sdk-examples/lib/scenario/index.js")} Scenarios
 */

/**
 * @typedef {import("@aws-sdk/client-s3").S3Client} S3Client
 */

/**
 * @param {Scenarios} scenarios
 */
const confirmCleanup = (scenarios) =>
  new scenarios.ScenarioInput("confirmCleanup", "Clean up resources?", {
    type: "confirm",
  });

/**
 * @param {Scenarios} scenarios
 * @param {S3Client} client
 */
const cleanupAction = (scenarios, client) =>
  new scenarios.ScenarioAction("cleanupAction", async (state) => {
    const { sourceBucketName, destinationBucketName } = state;
    const buckets = [sourceBucketName, destinationBucketName].filter((b) => b);

    for (const bucket of buckets) {
      try {
        let objectsResponse;
        objectsResponse = await client.send(
          new ListObjectVersionsCommand({
            Bucket: bucket,
          }),
        );
        for (const version of objectsResponse.Versions || []) {
          const { Key, VersionId } = version;
          try {
            await client.send(
              new DeleteObjectCommand({
                Bucket: bucket,
                Key,
                VersionId,
              }),
            );
          } catch (err) {
            console.log(`An error occurred: ${err.message} `);
          }
        }
      } catch (e) {
        if (e instanceof Error && e.name === "NoSuchBucket") {
          console.log("Objects and buckets have already been deleted.");
          continue;
        }
        throw e;
      }

      await client.send(new DeleteBucketCommand({ Bucket: bucket }));
      console.log(`Delete for ${bucket} complete.`);
    }
  });

export { confirmCleanup, cleanupAction };
```
+ 如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的下列主題。
  + [CopyObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/CopyObjectCommand)
  + [GetObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/GetObjectCommand)
  + [PutObject](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/s3/command/PutObjectCommand)

### 上傳或下載大型檔案
<a name="s3_Scenario_UsingLargeFiles_javascript_3_topic"></a>

下列程式碼範例示範如何將大型檔案上傳至 Amazon S3，以及從中下載大型檔案。

如需詳細資訊，請參閱[使用分段上傳以上傳物件](https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpu-upload-object.html)。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/s3#code-examples)中設定和執行。
上傳大型檔案。  

```
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

import {
  ProgressBar,
  logger,
} from "@aws-doc-sdk-examples/lib/utils/util-log.js";

const twentyFiveMB = 25 * 1024 * 1024;

export const createString = (size = twentyFiveMB) => {
  return "x".repeat(size);
};

/**
 * Create a 25MB file and upload it in parts to the specified
 * Amazon S3 bucket.
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  const str = createString();
  const buffer = Buffer.from(str, "utf8");
  const progressBar = new ProgressBar({
    description: `Uploading "${key}" to "${bucketName}"`,
    barLength: 30,
  });

  try {
    const upload = new Upload({
      client: new S3Client({}),
      params: {
        Bucket: bucketName,
        Key: key,
        Body: buffer,
      },
    });

    upload.on("httpUploadProgress", ({ loaded, total }) => {
      progressBar.update({ current: loaded, total });
    });

    await upload.done();
  } catch (caught) {
    if (caught instanceof Error && caught.name === "AbortError") {
      logger.error(`Multipart upload was aborted. ${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
下載大型檔案。  

```
import { fileURLToPath } from "node:url";
import { GetObjectCommand, NoSuchKey, S3Client } from "@aws-sdk/client-s3";
import { createWriteStream, rmSync } from "node:fs";

const s3Client = new S3Client({});
const oneMB = 1024 * 1024;

export const getObjectRange = ({ bucket, key, start, end }) => {
  const command = new GetObjectCommand({
    Bucket: bucket,
    Key: key,
    Range: `bytes=${start}-${end}`,
  });

  return s3Client.send(command);
};

/**
 * @param {string | undefined} contentRange
 */
export const getRangeAndLength = (contentRange) => {
  const [range, length] = contentRange.split("/");
  const [start, end] = range.split("-");
  return {
    start: Number.parseInt(start),
    end: Number.parseInt(end),
    length: Number.parseInt(length),
  };
};

export const isComplete = ({ end, length }) => end === length - 1;

const downloadInChunks = async ({ bucket, key }) => {
  const writeStream = createWriteStream(
    fileURLToPath(new URL(`./${key}`, import.meta.url)),
  ).on("error", (err) => console.error(err));

  let rangeAndLength = { start: -1, end: -1, length: -1 };

  while (!isComplete(rangeAndLength)) {
    const { end } = rangeAndLength;
    const nextRange = { start: end + 1, end: end + oneMB };

    const { ContentRange, Body } = await getObjectRange({
      bucket,
      key,
      ...nextRange,
    });
    console.log(`Downloaded bytes ${nextRange.start} to ${nextRange.end}`);

    writeStream.write(await Body.transformToByteArray());
    rangeAndLength = getRangeAndLength(ContentRange);
  }
};

/**
 * Download a large object from and Amazon S3 bucket.
 *
 * When downloading a large file, you might want to break it down into
 * smaller pieces. Amazon S3 accepts a Range header to specify the start
 * and end of the byte range to be downloaded.
 *
 * @param {{ bucketName: string, key: string }}
 */
export const main = async ({ bucketName, key }) => {
  try {
    await downloadInChunks({
      bucket: bucketName,
      key: key,
    });
  } catch (caught) {
    if (caught instanceof NoSuchKey) {
      console.error(`Failed to download object. No such key "${key}".`);
      rmSync(key);
    }
  }
};
```

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 Amazon S3 觸發條件調用 Lambda 函數
<a name="serverless_S3_Lambda_javascript_3_topic"></a>

下列程式碼範例示範如何實作 Lambda 函式，該函式接收透過上傳物件至 S3 儲存貯體時所觸發的事件。此函數會從事件參數擷取 S3 儲存貯體名稱和物件金鑰，並呼叫 Amazon S3 API 以擷取和記錄物件的內容類型。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/integration-s3-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 S3 事件。  

```
import { S3Client, HeadObjectCommand } from "@aws-sdk/client-s3";

const client = new S3Client();

export const handler = async (event, context) => {

    // Get the object from the event and show its content type
    const bucket = event.Records[0].s3.bucket.name;
    const key = decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, ' '));

    try {
        const { ContentType } = await client.send(new HeadObjectCommand({
            Bucket: bucket,
            Key: key,
        }));

        console.log('CONTENT TYPE:', ContentType);
        return ContentType;

    } catch (err) {
        console.log(err);
        const message = `Error getting object ${key} from bucket ${bucket}. Make sure they exist and your bucket is in the same region as this function.`;
        console.log(message);
        throw new Error(message);
    }
};
```
使用 TypeScript 搭配 Lambda 來使用 S3 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { S3Event } from 'aws-lambda';
import { S3Client, HeadObjectCommand } from '@aws-sdk/client-s3';

const s3 = new S3Client({ region: process.env.AWS_REGION });

export const handler = async (event: S3Event): Promise<string | undefined> => {
  // Get the object from the event and show its content type
  const bucket = event.Records[0].s3.bucket.name;
  const key = decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, ' '));
  const params = {
    Bucket: bucket,
    Key: key,
  };
  try {
    const { ContentType } = await s3.send(new HeadObjectCommand(params));
    console.log('CONTENT TYPE:', ContentType);
    return ContentType;
  } catch (err) {
    console.log(err);
    const message = `Error getting object ${key} from bucket ${bucket}. Make sure they exist and your bucket is in the same region as this function.`;
    console.log(message);
    throw new Error(message);
  }
};
```

# 使用適用於 JavaScript 的 SDK (v3) 的 SageMaker AI 範例
<a name="javascript_3_sagemaker_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 SageMaker AI 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)
+ [案例](#scenarios)

## 開始使用
<a name="get_started"></a>

### Hello SageMaker AI
<a name="sagemaker_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 SageMaker AI。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中設定和執行。

```
import {
  SageMakerClient,
  ListNotebookInstancesCommand,
} from "@aws-sdk/client-sagemaker";

const client = new SageMakerClient({
  region: "us-west-2",
});

export const helloSagemaker = async () => {
  const command = new ListNotebookInstancesCommand({ MaxResults: 5 });

  const response = await client.send(command);
  console.log(
    "Hello Amazon SageMaker! Let's list some of your notebook instances:",
  );

  const instances = response.NotebookInstances || [];

  if (instances.length === 0) {
    console.log(
      "• No notebook instances found. Try creating one in the AWS Management Console or with the CreateNotebookInstanceCommand.",
    );
  } else {
    console.log(
      instances
        .map(
          (i) =>
            `• Instance: ${i.NotebookInstanceName}\n  Arn:${
              i.NotebookInstanceArn
            } \n  Creation Date: ${i.CreationTime.toISOString()}`,
        )
        .join("\n"),
    );
  }

  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListNotebookInstances](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/ListNotebookInstancesCommand)。

## 動作
<a name="actions"></a>

### `CreatePipeline`
<a name="sagemaker_CreatePipeline_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreatePipeline`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中設定和執行。
使用本機提供的 JSON 定義建立 SageMaker AI 管道的函數。  

```
/**
 * Create the Amazon SageMaker pipeline using a JSON pipeline definition. The definition
 * can also be provided as an Amazon S3 object using PipelineDefinitionS3Location.
 * @param {{roleArn: string, name: string, sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient}} props
 */
export async function createSagemakerPipeline({
  // Assumes an AWS IAM role has been created for this pipeline.
  roleArn,
  name,
  // Assumes an AWS Lambda function has been created for this pipeline.
  functionArn,
  sagemakerClient,
}) {
  const pipelineDefinition = readFileSync(
    // dirnameFromMetaUrl is a local utility function. You can find its implementation
    // on GitHub.
    `${dirnameFromMetaUrl(
      import.meta.url,
    )}../../../../../scenarios/features/sagemaker_pipelines/resources/GeoSpatialPipeline.json`,
  )
    .toString()
    .replace(/\*FUNCTION_ARN\*/g, functionArn);

  let arn = null;

  const createPipeline = () =>
    sagemakerClient.send(
      new CreatePipelineCommand({
        PipelineName: name,
        PipelineDefinition: pipelineDefinition,
        RoleArn: roleArn,
      }),
    );

  try {
    const { PipelineArn } = await createPipeline();
    arn = PipelineArn;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "ValidationException" &&
      caught.message.includes(
        "Pipeline names must be unique within an AWS account and region",
      )
    ) {
      const { PipelineArn } = await sagemakerClient.send(
        new DescribePipelineCommand({ PipelineName: name }),
      );
      arn = PipelineArn;
    } else {
      throw caught;
    }
  }

  return {
    arn,
    cleanUp: async () => {
      await sagemakerClient.send(
        new DeletePipelineCommand({ PipelineName: name }),
      );
    },
  };
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreatePipeline](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/CreatePipelineCommand)。

### `DeletePipeline`
<a name="sagemaker_DeletePipeline_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeletePipeline`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中設定和執行。
刪除 SageMaker AI 管道的語法。此程式碼是較大函數的一部分。如需更多內容，請參閱「建立管道」或 GitHub 儲存庫。  

```
      await sagemakerClient.send(
        new DeletePipelineCommand({ PipelineName: name }),
      );
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeletePipeline](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/DeletePipelineCommand)。

### `DescribePipelineExecution`
<a name="sagemaker_DescribePipelineExecution_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribePipelineExecution`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中設定和執行。
等待 SageMaker AI 管道執行成功、失敗或停止。  

```
/**
 * Poll the executing pipeline until the status is 'SUCCEEDED', 'STOPPED', or 'FAILED'.
 * @param {{ arn: string, sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient, wait: (ms: number) => Promise<void>}} props
 */
export async function waitForPipelineComplete({ arn, sagemakerClient, wait }) {
  const command = new DescribePipelineExecutionCommand({
    PipelineExecutionArn: arn,
  });

  let complete = false;
  const intervalInSeconds = 15;
  const COMPLETION_STATUSES = [
    PipelineExecutionStatus.FAILED,
    PipelineExecutionStatus.STOPPED,
    PipelineExecutionStatus.SUCCEEDED,
  ];

  do {
    const { PipelineExecutionStatus: status, FailureReason } =
      await sagemakerClient.send(command);

    complete = COMPLETION_STATUSES.includes(status);

    if (!complete) {
      console.log(
        `Pipeline is ${status}. Waiting ${intervalInSeconds} seconds before checking again.`,
      );
      await wait(intervalInSeconds);
    } else if (status === PipelineExecutionStatus.FAILED) {
      throw new Error(`Pipeline failed because: ${FailureReason}`);
    } else if (status === PipelineExecutionStatus.STOPPED) {
      throw new Error("Pipeline was forcefully stopped.");
    } else {
      console.log(`Pipeline execution ${status}.`);
    }
  } while (!complete);
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribePipelineExecution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/DescribePipelineExecutionCommand)。

### `StartPipelineExecution`
<a name="sagemaker_StartPipelineExecution_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartPipelineExecution`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中設定和執行。
啟動 SageMaker AI 管道執行。  

```
/**
 * Start the execution of the Amazon SageMaker pipeline. Parameters that are
 * passed in are used in the AWS Lambda function.
 * @param {{
 *   name: string,
 *   sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient,
 *   roleArn: string,
 *   queueUrl: string,
 *   s3InputBucketName: string,
 * }} props
 */
export async function startPipelineExecution({
  sagemakerClient,
  name,
  bucketName,
  roleArn,
  queueUrl,
}) {
  /**
   * The Vector Enrichment Job requests CSV data. This configuration points to a CSV
   * file in an Amazon S3 bucket.
   * @type {import("@aws-sdk/client-sagemaker-geospatial").VectorEnrichmentJobInputConfig}
   */
  const inputConfig = {
    DataSourceConfig: {
      S3Data: {
        S3Uri: `s3://${bucketName}/input/sample_data.csv`,
      },
    },
    DocumentType: VectorEnrichmentJobDocumentType.CSV,
  };

  /**
   * The Vector Enrichment Job adds additional data to the source CSV. This configuration points
   * to an Amazon S3 prefix where the output will be stored.
   * @type {import("@aws-sdk/client-sagemaker-geospatial").ExportVectorEnrichmentJobOutputConfig}
   */
  const outputConfig = {
    S3Data: {
      S3Uri: `s3://${bucketName}/output/`,
    },
  };

  /**
   * This job will be a Reverse Geocoding Vector Enrichment Job. Reverse Geocoding requires
   * latitude and longitude values.
   * @type {import("@aws-sdk/client-sagemaker-geospatial").VectorEnrichmentJobConfig}
   */
  const jobConfig = {
    ReverseGeocodingConfig: {
      XAttributeName: "Longitude",
      YAttributeName: "Latitude",
    },
  };

  const { PipelineExecutionArn } = await sagemakerClient.send(
    new StartPipelineExecutionCommand({
      PipelineName: name,
      PipelineExecutionDisplayName: `${name}-example-execution`,
      PipelineParameters: [
        { Name: "parameter_execution_role", Value: roleArn },
        { Name: "parameter_queue_url", Value: queueUrl },
        {
          Name: "parameter_vej_input_config",
          Value: JSON.stringify(inputConfig),
        },
        {
          Name: "parameter_vej_export_config",
          Value: JSON.stringify(outputConfig),
        },
        {
          Name: "parameter_step_1_vej_config",
          Value: JSON.stringify(jobConfig),
        },
      ],
    }),
  );

  return {
    arn: PipelineExecutionArn,
  };
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartPipelineExecution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/StartPipelineExecutionCommand)。

## 案例
<a name="scenarios"></a>

### 開始使用地理空間任務和管道
<a name="sagemaker_Scenario_Pipelines_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 設定管道的資源。
+ 設定執行地理空間任務的管道。
+ 啟動管道執行。
+ 監控執行的狀態。
+ 檢視管道的輸出。
+ 清除資源。

如需詳細資訊，請參閱[在 Community.aws 上使用 AWS SDKs建立和執行 SageMaker 管道。](https://community.aws/posts/create-and-run-sagemaker-pipelines-using-aws-sdks)

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中設定和執行。
下列檔案摘錄中，包含使用 SageMaker AI 用戶端管理管道的函數。  

```
import { readFileSync } from "node:fs";

import {
  CreateRoleCommand,
  DeleteRoleCommand,
  CreatePolicyCommand,
  DeletePolicyCommand,
  AttachRolePolicyCommand,
  DetachRolePolicyCommand,
  GetRoleCommand,
  ListPoliciesCommand,
} from "@aws-sdk/client-iam";

import {
  PublishLayerVersionCommand,
  DeleteLayerVersionCommand,
  CreateFunctionCommand,
  Runtime,
  DeleteFunctionCommand,
  CreateEventSourceMappingCommand,
  DeleteEventSourceMappingCommand,
  GetFunctionCommand,
} from "@aws-sdk/client-lambda";

import {
  PutObjectCommand,
  CreateBucketCommand,
  DeleteBucketCommand,
  DeleteObjectCommand,
  GetObjectCommand,
  ListObjectsV2Command,
} from "@aws-sdk/client-s3";

import {
  CreatePipelineCommand,
  DeletePipelineCommand,
  DescribePipelineCommand,
  DescribePipelineExecutionCommand,
  PipelineExecutionStatus,
  StartPipelineExecutionCommand,
} from "@aws-sdk/client-sagemaker";

import { VectorEnrichmentJobDocumentType } from "@aws-sdk/client-sagemaker-geospatial";

import {
  CreateQueueCommand,
  DeleteQueueCommand,
  GetQueueAttributesCommand,
  GetQueueUrlCommand,
} from "@aws-sdk/client-sqs";

import { dirnameFromMetaUrl } from "@aws-doc-sdk-examples/lib/utils/util-fs.js";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

/**
 * Create the AWS IAM role that will be assumed by AWS Lambda.
 * @param {{ name: string, iamClient: import('@aws-sdk/client-iam').IAMClient }} props
 */
export async function createLambdaExecutionRole({ name, iamClient }) {
  const createRole = () =>
    iamClient.send(
      new CreateRoleCommand({
        RoleName: name,
        AssumeRolePolicyDocument: JSON.stringify({
          Version: "2012-10-17",
          Statement: [
            {
              Effect: "Allow",
              Action: ["sts:AssumeRole"],
              Principal: { Service: ["lambda.amazonaws.com"] },
            },
          ],
        }),
      }),
    );

  let role = null;

  try {
    const { Role } = await createRole();
    role = Role;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "EntityAlreadyExistsException"
    ) {
      const { Role } = await iamClient.send(
        new GetRoleCommand({ RoleName: name }),
      );
      role = Role;
    } else {
      throw caught;
    }
  }

  return {
    arn: role.Arn,
    cleanUp: async () => {
      await iamClient.send(new DeleteRoleCommand({ RoleName: name }));
    },
  };
}

/**
 * Create an AWS IAM policy that will be attached to the AWS IAM role assumed by the AWS Lambda function.
 * The policy grants permission to work with Amazon SQS, Amazon CloudWatch, and Amazon SageMaker.
 * @param {{name: string, iamClient: import('@aws-sdk/client-iam').IAMClient, pipelineExecutionRoleArn: string}} props
 */
export async function createLambdaExecutionPolicy({
  name,
  iamClient,
  pipelineExecutionRoleArn,
}) {
  const policyConfig = {
    Version: "2012-10-17",
    Statement: [
      {
        Effect: "Allow",
        Action: [
          "sqs:ReceiveMessage",
          "sqs:DeleteMessage",
          "sqs:GetQueueAttributes",
          "logs:CreateLogGroup",
          "logs:CreateLogStream",
          "logs:PutLogEvents",
          "sagemaker-geospatial:StartVectorEnrichmentJob",
          "sagemaker-geospatial:GetVectorEnrichmentJob",
          "sagemaker:SendPipelineExecutionStepFailure",
          "sagemaker:SendPipelineExecutionStepSuccess",
          "sagemaker-geospatial:ExportVectorEnrichmentJob",
        ],
        Resource: "*",
      },
      {
        Effect: "Allow",
        // The AWS Lambda function needs permission to pass the pipeline execution role to
        // the StartVectorEnrichmentCommand. This restriction prevents an AWS Lambda function
        // from elevating privileges. For more information, see:
        // https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_passrole.html
        Action: ["iam:PassRole"],
        Resource: `${pipelineExecutionRoleArn}`,
        Condition: {
          StringEquals: {
            "iam:PassedToService": [
              "sagemaker.amazonaws.com",
              "sagemaker-geospatial.amazonaws.com",
            ],
          },
        },
      },
    ],
  };

  const createPolicy = () =>
    iamClient.send(
      new CreatePolicyCommand({
        PolicyDocument: JSON.stringify(policyConfig),
        PolicyName: name,
      }),
    );

  let policy = null;

  try {
    const { Policy } = await createPolicy();
    policy = Policy;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "EntityAlreadyExistsException"
    ) {
      const { Policies } = await iamClient.send(new ListPoliciesCommand({}));
      if (Policies) {
        policy = Policies.find((p) => p.PolicyName === name);
      } else {
        throw new Error("No policies found.");
      }
    } else {
      throw caught;
    }
  }

  return {
    arn: policy?.Arn,
    policyConfig,
    cleanUp: async () => {
      await iamClient.send(new DeletePolicyCommand({ PolicyArn: policy?.Arn }));
    },
  };
}

/**
 * Attach an AWS IAM policy to an AWS IAM role.
 * @param {{roleName: string, policyArn: string, iamClient: import('@aws-sdk/client-iam').IAMClient}} props
 */
export async function attachPolicy({ roleName, policyArn, iamClient }) {
  const attachPolicyCommand = new AttachRolePolicyCommand({
    RoleName: roleName,
    PolicyArn: policyArn,
  });

  await iamClient.send(attachPolicyCommand);
  return {
    cleanUp: async () => {
      await iamClient.send(
        new DetachRolePolicyCommand({
          RoleName: roleName,
          PolicyArn: policyArn,
        }),
      );
    },
  };
}

/**
 * Create an AWS Lambda layer that contains the Amazon SageMaker and Amazon SageMaker Geospatial clients
 * in the runtime. The default runtime supports v3.188.0 of the JavaScript SDK. The Amazon SageMaker
 * Geospatial client wasn't introduced until v3.221.0.
 * @param {{ name: string, lambdaClient: import('@aws-sdk/client-lambda').LambdaClient }} props
 */
export async function createLambdaLayer({ name, lambdaClient }) {
  const layerPath = `${dirnameFromMetaUrl(import.meta.url)}lambda/nodejs.zip`;
  const { LayerVersionArn, Version } = await lambdaClient.send(
    new PublishLayerVersionCommand({
      LayerName: name,
      Content: {
        ZipFile: Uint8Array.from(readFileSync(layerPath)),
      },
    }),
  );

  return {
    versionArn: LayerVersionArn,
    version: Version,
    cleanUp: async () => {
      await lambdaClient.send(
        new DeleteLayerVersionCommand({
          LayerName: name,
          VersionNumber: Version,
        }),
      );
    },
  };
}

/**
 * Deploy the AWS Lambda function that will be used to respond to Amazon SageMaker pipeline
 * execution steps.
 * @param {{roleArn: string, name: string, lambdaClient: import('@aws-sdk/client-lambda').LambdaClient, layerVersionArn: string}} props
 */
export async function createLambdaFunction({
  name,
  roleArn,
  lambdaClient,
  layerVersionArn,
}) {
  const lambdaPath = `${dirnameFromMetaUrl(
    import.meta.url,
  )}lambda/dist/index.mjs.zip`;

  // If a function of the same name already exists, return that
  // function's ARN instead. By default this is
  // "sagemaker-wkflw-lambda-function", so collisions are
  // unlikely.
  const createFunction = async () => {
    try {
      return await lambdaClient.send(
        new CreateFunctionCommand({
          Code: {
            ZipFile: Uint8Array.from(readFileSync(lambdaPath)),
          },
          Runtime: Runtime.nodejs18x,
          Handler: "index.handler",
          Layers: [layerVersionArn],
          FunctionName: name,
          Role: roleArn,
        }),
      );
    } catch (caught) {
      if (
        caught instanceof Error &&
        caught.name === "ResourceConflictException"
      ) {
        const { Configuration } = await lambdaClient.send(
          new GetFunctionCommand({ FunctionName: name }),
        );
        return Configuration;
      }
      throw caught;
    }
  };

  // Function creation fails if the Role is not ready. This retries
  // function creation until it succeeds or it times out.
  const { FunctionArn } = await retry(
    { intervalInMs: 1000, maxRetries: 60 },
    createFunction,
  );

  return {
    arn: FunctionArn,
    cleanUp: async () => {
      await lambdaClient.send(
        new DeleteFunctionCommand({ FunctionName: name }),
      );
    },
  };
}

/**
 * This uploads some sample coordinate data to an Amazon S3 bucket.
 * The Amazon SageMaker Geospatial vector enrichment job will take the simple Lat/Long
 * coordinates in this file and augment them with more detailed location data.
 * @param {{bucketName: string, s3Client: import('@aws-sdk/client-s3').S3Client}} props
 */
export async function uploadCSVDataToS3({ bucketName, s3Client }) {
  const s3Path = `${dirnameFromMetaUrl(
    import.meta.url,
  )}../../../../../scenarios/features/sagemaker_pipelines/resources/latlongtest.csv`;

  await s3Client.send(
    new PutObjectCommand({
      Bucket: bucketName,
      Key: "input/sample_data.csv",
      Body: readFileSync(s3Path),
    }),
  );
}

/**
 * Create the AWS IAM role that will be assumed by the Amazon SageMaker pipeline.
 * @param {{name: string, iamClient: import('@aws-sdk/client-iam').IAMClient, wait: (ms: number) => Promise<void>}} props
 */
export async function createSagemakerRole({ name, iamClient, wait }) {
  let role = null;

  const createRole = () =>
    iamClient.send(
      new CreateRoleCommand({
        RoleName: name,
        AssumeRolePolicyDocument: JSON.stringify({
          Version: "2012-10-17",
          Statement: [
            {
              Effect: "Allow",
              Action: ["sts:AssumeRole"],
              Principal: {
                Service: [
                  "sagemaker.amazonaws.com",
                  "sagemaker-geospatial.amazonaws.com",
                ],
              },
            },
          ],
        }),
      }),
    );

  try {
    const { Role } = await createRole();
    role = Role;
    // Wait for the role to be ready.
    await wait(10);
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "EntityAlreadyExistsException"
    ) {
      const { Role } = await iamClient.send(
        new GetRoleCommand({ RoleName: name }),
      );
      role = Role;
    } else {
      throw caught;
    }
  }

  return {
    arn: role.Arn,
    cleanUp: async () => {
      await iamClient.send(new DeleteRoleCommand({ RoleName: name }));
    },
  };
}

/**
 * Create the Amazon SageMaker execution policy. This policy grants permission to
 * invoke the AWS Lambda function, read/write to the Amazon S3 bucket, and send messages to
 * the Amazon SQS queue.
 * @param {{ name: string, sqsQueueArn: string, lambdaArn: string, iamClient: import('@aws-sdk/client-iam').IAMClient, s3BucketName: string}} props
 */
export async function createSagemakerExecutionPolicy({
  sqsQueueArn,
  lambdaArn,
  iamClient,
  name,
  s3BucketName,
}) {
  const policyConfig = {
    Version: "2012-10-17",
    Statement: [
      {
        Effect: "Allow",
        Action: ["lambda:InvokeFunction"],
        Resource: lambdaArn,
      },
      {
        Effect: "Allow",
        Action: ["s3:*"],
        Resource: [
          `arn:aws:s3:::${s3BucketName}`,
          `arn:aws:s3:::${s3BucketName}/*`,
        ],
      },
      {
        Effect: "Allow",
        Action: ["sqs:SendMessage"],
        Resource: sqsQueueArn,
      },
    ],
  };

  const createPolicy = () =>
    iamClient.send(
      new CreatePolicyCommand({
        PolicyDocument: JSON.stringify(policyConfig),
        PolicyName: name,
      }),
    );

  let policy = null;

  try {
    const { Policy } = await createPolicy();
    policy = Policy;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "EntityAlreadyExistsException"
    ) {
      const { Policies } = await iamClient.send(new ListPoliciesCommand({}));
      if (Policies) {
        policy = Policies.find((p) => p.PolicyName === name);
      } else {
        throw new Error("No policies found.");
      }
    } else {
      throw caught;
    }
  }

  return {
    arn: policy?.Arn,
    policyConfig,
    cleanUp: async () => {
      await iamClient.send(new DeletePolicyCommand({ PolicyArn: policy?.Arn }));
    },
  };
}

/**
 * Create the Amazon SageMaker pipeline using a JSON pipeline definition. The definition
 * can also be provided as an Amazon S3 object using PipelineDefinitionS3Location.
 * @param {{roleArn: string, name: string, sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient}} props
 */
export async function createSagemakerPipeline({
  // Assumes an AWS IAM role has been created for this pipeline.
  roleArn,
  name,
  // Assumes an AWS Lambda function has been created for this pipeline.
  functionArn,
  sagemakerClient,
}) {
  const pipelineDefinition = readFileSync(
    // dirnameFromMetaUrl is a local utility function. You can find its implementation
    // on GitHub.
    `${dirnameFromMetaUrl(
      import.meta.url,
    )}../../../../../scenarios/features/sagemaker_pipelines/resources/GeoSpatialPipeline.json`,
  )
    .toString()
    .replace(/\*FUNCTION_ARN\*/g, functionArn);

  let arn = null;

  const createPipeline = () =>
    sagemakerClient.send(
      new CreatePipelineCommand({
        PipelineName: name,
        PipelineDefinition: pipelineDefinition,
        RoleArn: roleArn,
      }),
    );

  try {
    const { PipelineArn } = await createPipeline();
    arn = PipelineArn;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "ValidationException" &&
      caught.message.includes(
        "Pipeline names must be unique within an AWS account and region",
      )
    ) {
      const { PipelineArn } = await sagemakerClient.send(
        new DescribePipelineCommand({ PipelineName: name }),
      );
      arn = PipelineArn;
    } else {
      throw caught;
    }
  }

  return {
    arn,
    cleanUp: async () => {
      await sagemakerClient.send(
        new DeletePipelineCommand({ PipelineName: name }),
      );
    },
  };
}

/**
 * Create an Amazon SQS queue. The Amazon SageMaker pipeline will send messages
 * to this queue that are then processed by the AWS Lambda function.
 * @param {{name: string, sqsClient: import('@aws-sdk/client-sqs').SQSClient}} props
 */
export async function createSQSQueue({ name, sqsClient }) {
  const createSqsQueue = () =>
    sqsClient.send(
      new CreateQueueCommand({
        QueueName: name,
        Attributes: {
          DelaySeconds: "5",
          ReceiveMessageWaitTimeSeconds: "5",
          VisibilityTimeout: "300",
        },
      }),
    );

  let queueUrl = null;
  try {
    const { QueueUrl } = await createSqsQueue();
    queueUrl = QueueUrl;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "QueueNameExists") {
      const { QueueUrl } = await sqsClient.send(
        new GetQueueUrlCommand({ QueueName: name }),
      );
      queueUrl = QueueUrl;
    } else {
      throw caught;
    }
  }

  const { Attributes } = await retry(
    { intervalInMs: 1000, maxRetries: 60 },
    () =>
      sqsClient.send(
        new GetQueueAttributesCommand({
          QueueUrl: queueUrl,
          AttributeNames: ["QueueArn"],
        }),
      ),
  );

  return {
    queueUrl,
    queueArn: Attributes.QueueArn,
    cleanUp: async () => {
      await sqsClient.send(new DeleteQueueCommand({ QueueUrl: queueUrl }));
    },
  };
}

/**
 * Configure the AWS Lambda function to long poll for messages from the Amazon SQS
 * queue.
 * @param {{
 *   paginateListEventSourceMappings: () => Generator<import('@aws-sdk/client-lambda').ListEventSourceMappingsCommandOutput>,
 *   lambdaName: string,
 *   queueArn: string,
 *   lambdaClient: import('@aws-sdk/client-lambda').LambdaClient}} props
 */
export async function configureLambdaSQSEventSource({
  lambdaName,
  queueArn,
  lambdaClient,
  paginateListEventSourceMappings,
}) {
  let uuid = null;
  const createEvenSourceMapping = () =>
    lambdaClient.send(
      new CreateEventSourceMappingCommand({
        EventSourceArn: queueArn,
        FunctionName: lambdaName,
      }),
    );

  try {
    const { UUID } = await createEvenSourceMapping();
    uuid = UUID;
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "ResourceConflictException"
    ) {
      const paginator = paginateListEventSourceMappings(
        { client: lambdaClient },
        {},
      );
      /**
       * @type {import('@aws-sdk/client-lambda').EventSourceMappingConfiguration[]}
       */
      const eventSourceMappings = [];
      for await (const page of paginator) {
        eventSourceMappings.concat(page.EventSourceMappings || []);
      }

      const { Configuration } = await lambdaClient.send(
        new GetFunctionCommand({ FunctionName: lambdaName }),
      );

      uuid = eventSourceMappings.find(
        (mapping) =>
          mapping.EventSourceArn === queueArn &&
          mapping.FunctionArn === Configuration.FunctionArn,
      ).UUID;
    } else {
      throw caught;
    }
  }

  return {
    cleanUp: async () => {
      await lambdaClient.send(
        new DeleteEventSourceMappingCommand({
          UUID: uuid,
        }),
      );
    },
  };
}

/**
 * Create an Amazon S3 bucket that will store the simple coordinate file as input
 * and the output of the Amazon SageMaker Geospatial vector enrichment job.
 * @param {{
 *   s3Client: import('@aws-sdk/client-s3').S3Client,
 *   name: string,
 *   paginateListObjectsV2: () => Generator<import('@aws-sdk/client-s3').ListObjectsCommandOutput>
 * }} props
 */
export async function createS3Bucket({
  name,
  s3Client,
  paginateListObjectsV2,
}) {
  await s3Client.send(new CreateBucketCommand({ Bucket: name }));

  return {
    cleanUp: async () => {
      const paginator = paginateListObjectsV2(
        { client: s3Client },
        { Bucket: name },
      );
      for await (const page of paginator) {
        const objects = page.Contents;
        if (objects) {
          for (const object of objects) {
            await s3Client.send(
              new DeleteObjectCommand({ Bucket: name, Key: object.Key }),
            );
          }
        }
      }
      await s3Client.send(new DeleteBucketCommand({ Bucket: name }));
    },
  };
}

/**
 * Start the execution of the Amazon SageMaker pipeline. Parameters that are
 * passed in are used in the AWS Lambda function.
 * @param {{
 *   name: string,
 *   sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient,
 *   roleArn: string,
 *   queueUrl: string,
 *   s3InputBucketName: string,
 * }} props
 */
export async function startPipelineExecution({
  sagemakerClient,
  name,
  bucketName,
  roleArn,
  queueUrl,
}) {
  /**
   * The Vector Enrichment Job requests CSV data. This configuration points to a CSV
   * file in an Amazon S3 bucket.
   * @type {import("@aws-sdk/client-sagemaker-geospatial").VectorEnrichmentJobInputConfig}
   */
  const inputConfig = {
    DataSourceConfig: {
      S3Data: {
        S3Uri: `s3://${bucketName}/input/sample_data.csv`,
      },
    },
    DocumentType: VectorEnrichmentJobDocumentType.CSV,
  };

  /**
   * The Vector Enrichment Job adds additional data to the source CSV. This configuration points
   * to an Amazon S3 prefix where the output will be stored.
   * @type {import("@aws-sdk/client-sagemaker-geospatial").ExportVectorEnrichmentJobOutputConfig}
   */
  const outputConfig = {
    S3Data: {
      S3Uri: `s3://${bucketName}/output/`,
    },
  };

  /**
   * This job will be a Reverse Geocoding Vector Enrichment Job. Reverse Geocoding requires
   * latitude and longitude values.
   * @type {import("@aws-sdk/client-sagemaker-geospatial").VectorEnrichmentJobConfig}
   */
  const jobConfig = {
    ReverseGeocodingConfig: {
      XAttributeName: "Longitude",
      YAttributeName: "Latitude",
    },
  };

  const { PipelineExecutionArn } = await sagemakerClient.send(
    new StartPipelineExecutionCommand({
      PipelineName: name,
      PipelineExecutionDisplayName: `${name}-example-execution`,
      PipelineParameters: [
        { Name: "parameter_execution_role", Value: roleArn },
        { Name: "parameter_queue_url", Value: queueUrl },
        {
          Name: "parameter_vej_input_config",
          Value: JSON.stringify(inputConfig),
        },
        {
          Name: "parameter_vej_export_config",
          Value: JSON.stringify(outputConfig),
        },
        {
          Name: "parameter_step_1_vej_config",
          Value: JSON.stringify(jobConfig),
        },
      ],
    }),
  );

  return {
    arn: PipelineExecutionArn,
  };
}

/**
 * Poll the executing pipeline until the status is 'SUCCEEDED', 'STOPPED', or 'FAILED'.
 * @param {{ arn: string, sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient, wait: (ms: number) => Promise<void>}} props
 */
export async function waitForPipelineComplete({ arn, sagemakerClient, wait }) {
  const command = new DescribePipelineExecutionCommand({
    PipelineExecutionArn: arn,
  });

  let complete = false;
  const intervalInSeconds = 15;
  const COMPLETION_STATUSES = [
    PipelineExecutionStatus.FAILED,
    PipelineExecutionStatus.STOPPED,
    PipelineExecutionStatus.SUCCEEDED,
  ];

  do {
    const { PipelineExecutionStatus: status, FailureReason } =
      await sagemakerClient.send(command);

    complete = COMPLETION_STATUSES.includes(status);

    if (!complete) {
      console.log(
        `Pipeline is ${status}. Waiting ${intervalInSeconds} seconds before checking again.`,
      );
      await wait(intervalInSeconds);
    } else if (status === PipelineExecutionStatus.FAILED) {
      throw new Error(`Pipeline failed because: ${FailureReason}`);
    } else if (status === PipelineExecutionStatus.STOPPED) {
      throw new Error("Pipeline was forcefully stopped.");
    } else {
      console.log(`Pipeline execution ${status}.`);
    }
  } while (!complete);
}

/**
 * Return the string value of an Amazon S3 object.
 * @param {{ bucket: string, key: string, s3Client: import('@aws-sdk/client-s3').S3Client}} param0
 */
export async function getObject({ bucket, s3Client }) {
  const prefix = "output/";
  const { Contents } = await s3Client.send(
    new ListObjectsV2Command({ MaxKeys: 1, Bucket: bucket, Prefix: prefix }),
  );

  if (!Contents.length) {
    throw new Error("No objects found in bucket.");
  }

  // Find the CSV file.
  const outputObject = Contents.find((obj) => obj.Key.endsWith(".csv"));

  if (!outputObject) {
    throw new Error(`No CSV file found in bucket with the prefix "${prefix}".`);
  }

  const { Body } = await s3Client.send(
    new GetObjectCommand({
      Bucket: bucket,
      Key: outputObject.Key,
    }),
  );

  return Body.transformToString();
}
```
此函數是檔案的摘錄，該檔案會使用前文提到的程式庫函數來設定 SageMaker AI 管道、執行管道，以及刪除所有建立的資源。  

```
import { retry, wait } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";
import {
  attachPolicy,
  configureLambdaSQSEventSource,
  createLambdaExecutionPolicy,
  createLambdaExecutionRole,
  createLambdaFunction,
  createLambdaLayer,
  createS3Bucket,
  createSQSQueue,
  createSagemakerExecutionPolicy,
  createSagemakerPipeline,
  createSagemakerRole,
  getObject,
  startPipelineExecution,
  uploadCSVDataToS3,
  waitForPipelineComplete,
} from "./lib.js";
import { MESSAGES } from "./messages.js";

export class SageMakerPipelinesWkflw {
  names = {
    LAMBDA_EXECUTION_ROLE: "sagemaker-wkflw-lambda-execution-role",
    LAMBDA_EXECUTION_ROLE_POLICY:
      "sagemaker-wkflw-lambda-execution-role-policy",
    LAMBDA_FUNCTION: "sagemaker-wkflw-lambda-function",
    LAMBDA_LAYER: "sagemaker-wkflw-lambda-layer",
    SAGE_MAKER_EXECUTION_ROLE: "sagemaker-wkflw-pipeline-execution-role",
    SAGE_MAKER_EXECUTION_ROLE_POLICY:
      "sagemaker-wkflw-pipeline-execution-role-policy",
    SAGE_MAKER_PIPELINE: "sagemaker-wkflw-pipeline",
    SQS_QUEUE: "sagemaker-wkflw-sqs-queue",
    S3_BUCKET: `sagemaker-wkflw-s3-bucket-${Date.now()}`,
  };

  cleanUpFunctions = [];

  /**
   * @param {import("@aws-doc-sdk-examples/lib/prompter.js").Prompter} prompter
   * @param {import("@aws-doc-sdk-examples/lib/logger.js").Logger} logger
   * @param {{ IAM: import("@aws-sdk/client-iam").IAMClient, Lambda: import("@aws-sdk/client-lambda").LambdaClient, SageMaker: import("@aws-sdk/client-sagemaker").SageMakerClient, S3: import("@aws-sdk/client-s3").S3Client, SQS: import("@aws-sdk/client-sqs").SQSClient }} clients
   */
  constructor(prompter, logger, clients) {
    this.prompter = prompter;
    this.logger = logger;
    this.clients = clients;
  }

  async run() {
    try {
      await this.startWorkflow();
    } catch (err) {
      console.error(err);
      throw err;
    } finally {
      this.logger.logSeparator();
      const doCleanUp = await this.prompter.confirm({
        message: "Clean up resources?",
      });
      if (doCleanUp) {
        await this.cleanUp();
      }
    }
  }

  async cleanUp() {
    // Run all of the clean up functions. If any fail, we log the error and continue.
    // This ensures all clean up functions are run.
    for (let i = this.cleanUpFunctions.length - 1; i >= 0; i--) {
      await retry(
        { intervalInMs: 1000, maxRetries: 60, swallowError: true },
        this.cleanUpFunctions[i],
      );
    }
  }

  async startWorkflow() {
    this.logger.logSeparator(MESSAGES.greetingHeader);
    await this.logger.log(MESSAGES.greeting);

    this.logger.logSeparator();
    await this.logger.log(
      MESSAGES.creatingRole.replace(
        "${ROLE_NAME}",
        this.names.LAMBDA_EXECUTION_ROLE,
      ),
    );

    // Create an IAM role that will be assumed by the AWS Lambda function. This function
    // is triggered by Amazon SQS messages and calls SageMaker and SageMaker GeoSpatial actions.
    const { arn: lambdaExecutionRoleArn, cleanUp: lambdaExecutionRoleCleanUp } =
      await createLambdaExecutionRole({
        name: this.names.LAMBDA_EXECUTION_ROLE,
        iamClient: this.clients.IAM,
      });
    // Add a clean up step to a stack for every resource created.
    this.cleanUpFunctions.push(lambdaExecutionRoleCleanUp);

    await this.logger.log(
      MESSAGES.roleCreated.replace(
        "${ROLE_NAME}",
        this.names.LAMBDA_EXECUTION_ROLE,
      ),
    );

    this.logger.logSeparator();

    await this.logger.log(
      MESSAGES.creatingRole.replace(
        "${ROLE_NAME}",
        this.names.SAGE_MAKER_EXECUTION_ROLE,
      ),
    );

    // Create an IAM role that will be assumed by the SageMaker pipeline. The pipeline
    // sends messages to an Amazon SQS queue and puts/retrieves Amazon S3 objects.
    const {
      arn: pipelineExecutionRoleArn,
      cleanUp: pipelineExecutionRoleCleanUp,
    } = await createSagemakerRole({
      iamClient: this.clients.IAM,
      name: this.names.SAGE_MAKER_EXECUTION_ROLE,
      wait,
    });
    this.cleanUpFunctions.push(pipelineExecutionRoleCleanUp);

    await this.logger.log(
      MESSAGES.roleCreated.replace(
        "${ROLE_NAME}",
        this.names.SAGE_MAKER_EXECUTION_ROLE,
      ),
    );

    this.logger.logSeparator();

    // Create an IAM policy that allows the AWS Lambda function to invoke SageMaker APIs.
    const {
      arn: lambdaExecutionPolicyArn,
      policy: lambdaPolicy,
      cleanUp: lambdaExecutionPolicyCleanUp,
    } = await createLambdaExecutionPolicy({
      name: this.names.LAMBDA_EXECUTION_ROLE_POLICY,
      s3BucketName: this.names.S3_BUCKET,
      iamClient: this.clients.IAM,
      pipelineExecutionRoleArn,
    });
    this.cleanUpFunctions.push(lambdaExecutionPolicyCleanUp);

    console.log(JSON.stringify(lambdaPolicy, null, 2), "\n");

    await this.logger.log(
      MESSAGES.attachPolicy
        .replace("${POLICY_NAME}", this.names.LAMBDA_EXECUTION_ROLE_POLICY)
        .replace("${ROLE_NAME}", this.names.LAMBDA_EXECUTION_ROLE),
    );

    await this.prompter.checkContinue();

    // Attach the Lambda execution policy to the execution role.
    const { cleanUp: lambdaExecutionRolePolicyCleanUp } = await attachPolicy({
      roleName: this.names.LAMBDA_EXECUTION_ROLE,
      policyArn: lambdaExecutionPolicyArn,
      iamClient: this.clients.IAM,
    });
    this.cleanUpFunctions.push(lambdaExecutionRolePolicyCleanUp);

    await this.logger.log(MESSAGES.policyAttached);

    this.logger.logSeparator();

    // Create Lambda layer for SageMaker packages.
    const { versionArn: layerVersionArn, cleanUp: lambdaLayerCleanUp } =
      await createLambdaLayer({
        name: this.names.LAMBDA_LAYER,
        lambdaClient: this.clients.Lambda,
      });
    this.cleanUpFunctions.push(lambdaLayerCleanUp);

    await this.logger.log(
      MESSAGES.creatingFunction.replace(
        "${FUNCTION_NAME}",
        this.names.LAMBDA_FUNCTION,
      ),
    );

    // Create the Lambda function with the execution role.
    const { arn: lambdaArn, cleanUp: lambdaCleanUp } =
      await createLambdaFunction({
        roleArn: lambdaExecutionRoleArn,
        lambdaClient: this.clients.Lambda,
        name: this.names.LAMBDA_FUNCTION,
        layerVersionArn,
      });
    this.cleanUpFunctions.push(lambdaCleanUp);

    await this.logger.log(
      MESSAGES.functionCreated.replace(
        "${FUNCTION_NAME}",
        this.names.LAMBDA_FUNCTION,
      ),
    );

    this.logger.logSeparator();

    await this.logger.log(
      MESSAGES.creatingSQSQueue.replace("${QUEUE_NAME}", this.names.SQS_QUEUE),
    );

    // Create an SQS queue for the SageMaker pipeline.
    const {
      queueUrl,
      queueArn,
      cleanUp: queueCleanUp,
    } = await createSQSQueue({
      name: this.names.SQS_QUEUE,
      sqsClient: this.clients.SQS,
    });
    this.cleanUpFunctions.push(queueCleanUp);

    await this.logger.log(
      MESSAGES.sqsQueueCreated.replace("${QUEUE_NAME}", this.names.SQS_QUEUE),
    );

    this.logger.logSeparator();

    await this.logger.log(
      MESSAGES.configuringLambdaSQSEventSource
        .replace("${LAMBDA_NAME}", this.names.LAMBDA_FUNCTION)
        .replace("${QUEUE_NAME}", this.names.SQS_QUEUE),
    );

    // Configure the SQS queue as an event source for the Lambda.
    const { cleanUp: lambdaSQSEventSourceCleanUp } =
      await configureLambdaSQSEventSource({
        lambdaArn,
        lambdaName: this.names.LAMBDA_FUNCTION,
        queueArn,
        sqsClient: this.clients.SQS,
        lambdaClient: this.clients.Lambda,
      });
    this.cleanUpFunctions.push(lambdaSQSEventSourceCleanUp);

    await this.logger.log(
      MESSAGES.lambdaSQSEventSourceConfigured
        .replace("${LAMBDA_NAME}", this.names.LAMBDA_FUNCTION)
        .replace("${QUEUE_NAME}", this.names.SQS_QUEUE),
    );

    this.logger.logSeparator();

    // Create an IAM policy that allows the SageMaker pipeline to invoke AWS Lambda
    // and send messages to the Amazon SQS queue.
    const {
      arn: pipelineExecutionPolicyArn,
      policy: sagemakerPolicy,
      cleanUp: pipelineExecutionPolicyCleanUp,
    } = await createSagemakerExecutionPolicy({
      sqsQueueArn: queueArn,
      lambdaArn,
      iamClient: this.clients.IAM,
      name: this.names.SAGE_MAKER_EXECUTION_ROLE_POLICY,
      s3BucketName: this.names.S3_BUCKET,
    });
    this.cleanUpFunctions.push(pipelineExecutionPolicyCleanUp);

    console.log(JSON.stringify(sagemakerPolicy, null, 2));

    await this.logger.log(
      MESSAGES.attachPolicy
        .replace("${POLICY_NAME}", this.names.SAGE_MAKER_EXECUTION_ROLE_POLICY)
        .replace("${ROLE_NAME}", this.names.SAGE_MAKER_EXECUTION_ROLE),
    );

    await this.prompter.checkContinue();

    // Attach the SageMaker execution policy to the execution role.
    const { cleanUp: pipelineExecutionRolePolicyCleanUp } = await attachPolicy({
      roleName: this.names.SAGE_MAKER_EXECUTION_ROLE,
      policyArn: pipelineExecutionPolicyArn,
      iamClient: this.clients.IAM,
    });
    this.cleanUpFunctions.push(pipelineExecutionRolePolicyCleanUp);
    // Wait for the role to be ready. If the role is used immediately,
    // the pipeline will fail.
    await wait(5);

    await this.logger.log(MESSAGES.policyAttached);

    this.logger.logSeparator();

    await this.logger.log(
      MESSAGES.creatingPipeline.replace(
        "${PIPELINE_NAME}",
        this.names.SAGE_MAKER_PIPELINE,
      ),
    );

    // Create the SageMaker pipeline.
    const { cleanUp: pipelineCleanUp } = await createSagemakerPipeline({
      roleArn: pipelineExecutionRoleArn,
      functionArn: lambdaArn,
      sagemakerClient: this.clients.SageMaker,
      name: this.names.SAGE_MAKER_PIPELINE,
    });
    this.cleanUpFunctions.push(pipelineCleanUp);

    await this.logger.log(
      MESSAGES.pipelineCreated.replace(
        "${PIPELINE_NAME}",
        this.names.SAGE_MAKER_PIPELINE,
      ),
    );

    this.logger.logSeparator();

    await this.logger.log(
      MESSAGES.creatingS3Bucket.replace("${BUCKET_NAME}", this.names.S3_BUCKET),
    );

    // Create an S3 bucket for storing inputs and outputs.
    const { cleanUp: s3BucketCleanUp } = await createS3Bucket({
      name: this.names.S3_BUCKET,
      s3Client: this.clients.S3,
    });
    this.cleanUpFunctions.push(s3BucketCleanUp);

    await this.logger.log(
      MESSAGES.s3BucketCreated.replace("${BUCKET_NAME}", this.names.S3_BUCKET),
    );

    this.logger.logSeparator();

    await this.logger.log(
      MESSAGES.uploadingInputData.replace(
        "${BUCKET_NAME}",
        this.names.S3_BUCKET,
      ),
    );

    // Upload CSV Lat/Long data to S3.
    await uploadCSVDataToS3({
      bucketName: this.names.S3_BUCKET,
      s3Client: this.clients.S3,
    });

    await this.logger.log(MESSAGES.inputDataUploaded);

    this.logger.logSeparator();

    await this.prompter.checkContinue(MESSAGES.executePipeline);

    // Execute the SageMaker pipeline.
    const { arn: pipelineExecutionArn } = await startPipelineExecution({
      name: this.names.SAGE_MAKER_PIPELINE,
      sagemakerClient: this.clients.SageMaker,
      roleArn: pipelineExecutionRoleArn,
      bucketName: this.names.S3_BUCKET,
      queueUrl,
    });

    // Wait for the pipeline execution to finish.
    await waitForPipelineComplete({
      arn: pipelineExecutionArn,
      sagemakerClient: this.clients.SageMaker,
      wait,
    });

    this.logger.logSeparator();

    await this.logger.log(MESSAGES.outputDelay);

    // The getOutput function will throw an error if the output is not
    // found. The retry function will retry a failed function call once
    // ever 10 seconds for 2 minutes.
    const output = await retry({ intervalInMs: 10000, maxRetries: 12 }, () =>
      getObject({
        bucket: this.names.S3_BUCKET,
        s3Client: this.clients.S3,
      }),
    );

    this.logger.logSeparator();
    await this.logger.log(MESSAGES.outputDataRetrieved);
    console.log(output.split("\n").slice(0, 6).join("\n"));
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [CreatePipeline](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/CreatePipelineCommand)
  + [DeletePipeline](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/DeletePipelineCommand)
  + [DescribePipelineExecution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/DescribePipelineExecutionCommand)
  + [StartPipelineExecution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/StartPipelineExecutionCommand)
  + [UpdatePipeline](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/UpdatePipelineCommand)

# 使用適用於 JavaScript 的 SDK (v3) 的 Secrets Manager 範例
<a name="javascript_3_secrets-manager_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Secrets Manager 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `GetSecretValue`
<a name="secrets-manager_GetSecretValue_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetSecretValue`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/secrets-manager#code-examples)中設定和執行。

```
import {
  GetSecretValueCommand,
  SecretsManagerClient,
} from "@aws-sdk/client-secrets-manager";

export const getSecretValue = async (secretName = "SECRET_NAME") => {
  const client = new SecretsManagerClient();
  const response = await client.send(
    new GetSecretValueCommand({
      SecretId: secretName,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '584eb612-f8b0-48c9-855e-6d246461b604',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   ARN: 'arn:aws:secretsmanager:us-east-1:xxxxxxxxxxxx:secret:binary-secret-3873048-xxxxxx',
  //   CreatedDate: 2023-08-08T19:29:51.294Z,
  //   Name: 'binary-secret-3873048',
  //   SecretBinary: Uint8Array(11) [
  //      98, 105, 110, 97, 114,
  //     121,  32, 100, 97, 116,
  //      97
  //   ],
  //   VersionId: '712083f4-0d26-415e-8044-16735142cd6a',
  //   VersionStages: [ 'AWSCURRENT' ]
  // }

  if (response.SecretString) {
    return response.SecretString;
  }

  if (response.SecretBinary) {
    return response.SecretBinary;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetSecretValue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/secrets-manager/command/GetSecretValueCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon SES 範例
<a name="javascript_3_ses_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon SES 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)
+ [案例](#scenarios)

## 動作
<a name="actions"></a>

### `CreateReceiptFilter`
<a name="ses_CreateReceiptFilter_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateReceiptFilter`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import {
  CreateReceiptFilterCommand,
  ReceiptFilterPolicy,
} from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";

const createCreateReceiptFilterCommand = ({ policy, ipOrRange, name }) => {
  return new CreateReceiptFilterCommand({
    Filter: {
      IpFilter: {
        Cidr: ipOrRange, // string, either a single IP address (10.0.0.1) or an IP address range in CIDR notation (10.0.0.1/24)).
        Policy: policy, // enum ReceiptFilterPolicy, email traffic from the filtered addressesOptions.
      },
      /*
        The name of the IP address filter. Only ASCII letters, numbers, underscores, or dashes.
        Must be less than 64 characters and start and end with a letter or number.
       */
      Name: name,
    },
  });
};

const FILTER_NAME = getUniqueName("ReceiptFilter");

const run = async () => {
  const createReceiptFilterCommand = createCreateReceiptFilterCommand({
    policy: ReceiptFilterPolicy.Allow,
    ipOrRange: "10.0.0.1",
    name: FILTER_NAME,
  });

  try {
    return await sesClient.send(createReceiptFilterCommand);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MessageRejected") {
      /** @type { import('@aws-sdk/client-ses').MessageRejected} */
      const messageRejectedError = caught;
      return messageRejectedError;
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateReceiptFilter](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/CreateReceiptFilterCommand)。

### `CreateReceiptRule`
<a name="ses_CreateReceiptRule_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateReceiptRule`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { CreateReceiptRuleCommand, TlsPolicy } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";

const RULE_SET_NAME = getUniqueName("RuleSetName");
const RULE_NAME = getUniqueName("RuleName");
const S3_BUCKET_NAME = getUniqueName("S3BucketName");

const createS3ReceiptRuleCommand = ({
  bucketName,
  emailAddresses,
  name,
  ruleSet,
}) => {
  return new CreateReceiptRuleCommand({
    Rule: {
      Actions: [
        {
          S3Action: {
            BucketName: bucketName,
            ObjectKeyPrefix: "email",
          },
        },
      ],
      Recipients: emailAddresses,
      Enabled: true,
      Name: name,
      ScanEnabled: false,
      TlsPolicy: TlsPolicy.Optional,
    },
    RuleSetName: ruleSet, // Required
  });
};

const run = async () => {
  const s3ReceiptRuleCommand = createS3ReceiptRuleCommand({
    bucketName: S3_BUCKET_NAME,
    emailAddresses: ["email@example.com"],
    name: RULE_NAME,
    ruleSet: RULE_SET_NAME,
  });

  try {
    return await sesClient.send(s3ReceiptRuleCommand);
  } catch (err) {
    console.log("Failed to create S3 receipt rule.", err);
    throw err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateReceiptRule](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/CreateReceiptRuleCommand)。

### `CreateReceiptRuleSet`
<a name="ses_CreateReceiptRuleSet_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateReceiptRuleSet`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { CreateReceiptRuleSetCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";

const RULE_SET_NAME = getUniqueName("RuleSetName");

const createCreateReceiptRuleSetCommand = (ruleSetName) => {
  return new CreateReceiptRuleSetCommand({ RuleSetName: ruleSetName });
};

const run = async () => {
  const createReceiptRuleSetCommand =
    createCreateReceiptRuleSetCommand(RULE_SET_NAME);

  try {
    return await sesClient.send(createReceiptRuleSetCommand);
  } catch (err) {
    console.log("Failed to create receipt rule set", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateReceiptRuleSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/CreateReceiptRuleSetCommand)。

### `CreateTemplate`
<a name="ses_CreateTemplate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateTemplate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { CreateTemplateCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";

const TEMPLATE_NAME = getUniqueName("TestTemplateName");

const createCreateTemplateCommand = () => {
  return new CreateTemplateCommand({
    /**
     * The template feature in Amazon SES is based on the Handlebars template system.
     */
    Template: {
      /**
       * The name of an existing template in Amazon SES.
       */
      TemplateName: TEMPLATE_NAME,
      HtmlPart: `
        <h1>Hello, {{contact.firstName}}!</h1>
        <p>
        Did you know Amazon has a mascot named Peccy?
        </p>
      `,
      SubjectPart: "Amazon Tip",
    },
  });
};

const run = async () => {
  const createTemplateCommand = createCreateTemplateCommand();

  try {
    return await sesClient.send(createTemplateCommand);
  } catch (err) {
    console.log("Failed to create template.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/CreateTemplateCommand)。

### `DeleteIdentity`
<a name="ses_DeleteIdentity_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteIdentity`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { DeleteIdentityCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";

const IDENTITY_EMAIL = "fake@example.com";

const createDeleteIdentityCommand = (identityName) => {
  return new DeleteIdentityCommand({
    Identity: identityName,
  });
};

const run = async () => {
  const deleteIdentityCommand = createDeleteIdentityCommand(IDENTITY_EMAIL);

  try {
    return await sesClient.send(deleteIdentityCommand);
  } catch (err) {
    console.log("Failed to delete identity.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteIdentity](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/DeleteIdentityCommand)。

### `DeleteReceiptFilter`
<a name="ses_DeleteReceiptFilter_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteReceiptFilter`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { DeleteReceiptFilterCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";

const RECEIPT_FILTER_NAME = getUniqueName("ReceiptFilterName");

const createDeleteReceiptFilterCommand = (filterName) => {
  return new DeleteReceiptFilterCommand({ FilterName: filterName });
};

const run = async () => {
  const deleteReceiptFilterCommand =
    createDeleteReceiptFilterCommand(RECEIPT_FILTER_NAME);

  try {
    return await sesClient.send(deleteReceiptFilterCommand);
  } catch (err) {
    console.log("Error deleting receipt filter.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteReceiptFilter](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/DeleteReceiptFilterCommand)。

### `DeleteReceiptRule`
<a name="ses_DeleteReceiptRule_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteReceiptRule`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { DeleteReceiptRuleCommand } from "@aws-sdk/client-ses";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

const RULE_NAME = getUniqueName("RuleName");
const RULE_SET_NAME = getUniqueName("RuleSetName");

const createDeleteReceiptRuleCommand = () => {
  return new DeleteReceiptRuleCommand({
    RuleName: RULE_NAME,
    RuleSetName: RULE_SET_NAME,
  });
};

const run = async () => {
  const deleteReceiptRuleCommand = createDeleteReceiptRuleCommand();
  try {
    return await sesClient.send(deleteReceiptRuleCommand);
  } catch (err) {
    console.log("Failed to delete receipt rule.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteReceiptRule](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/DeleteReceiptRuleCommand)。

### `DeleteReceiptRuleSet`
<a name="ses_DeleteReceiptRuleSet_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteReceiptRuleSet`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { DeleteReceiptRuleSetCommand } from "@aws-sdk/client-ses";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

const RULE_SET_NAME = getUniqueName("RuleSetName");

const createDeleteReceiptRuleSetCommand = () => {
  return new DeleteReceiptRuleSetCommand({ RuleSetName: RULE_SET_NAME });
};

const run = async () => {
  const deleteReceiptRuleSetCommand = createDeleteReceiptRuleSetCommand();

  try {
    return await sesClient.send(deleteReceiptRuleSetCommand);
  } catch (err) {
    console.log("Failed to delete receipt rule set.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteReceiptRuleSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/DeleteReceiptRuleSetCommand)。

### `DeleteTemplate`
<a name="ses_DeleteTemplate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTemplate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { DeleteTemplateCommand } from "@aws-sdk/client-ses";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

const TEMPLATE_NAME = getUniqueName("TemplateName");

const createDeleteTemplateCommand = (templateName) =>
  new DeleteTemplateCommand({ TemplateName: templateName });

const run = async () => {
  const deleteTemplateCommand = createDeleteTemplateCommand(TEMPLATE_NAME);

  try {
    return await sesClient.send(deleteTemplateCommand);
  } catch (err) {
    console.log("Failed to delete template.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [DeleteTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/DeleteTemplateCommand)。

### `GetTemplate`
<a name="ses_GetTemplate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetTemplate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { GetTemplateCommand } from "@aws-sdk/client-ses";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

const TEMPLATE_NAME = getUniqueName("TemplateName");

const createGetTemplateCommand = (templateName) =>
  new GetTemplateCommand({ TemplateName: templateName });

const run = async () => {
  const getTemplateCommand = createGetTemplateCommand(TEMPLATE_NAME);

  try {
    return await sesClient.send(getTemplateCommand);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MessageRejected") {
      /** @type { import('@aws-sdk/client-ses').MessageRejected} */
      const messageRejectedError = caught;
      return messageRejectedError;
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [GetTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/GetTemplateCommand)。

### `ListIdentities`
<a name="ses_ListIdentities_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListIdentities`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { ListIdentitiesCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";

const createListIdentitiesCommand = () =>
  new ListIdentitiesCommand({ IdentityType: "EmailAddress", MaxItems: 10 });

const run = async () => {
  const listIdentitiesCommand = createListIdentitiesCommand();

  try {
    return await sesClient.send(listIdentitiesCommand);
  } catch (err) {
    console.log("Failed to list identities.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListIdentities](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/ListIdentitiesCommand)。

### `ListReceiptFilters`
<a name="ses_ListReceiptFilters_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListReceiptFilters`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { ListReceiptFiltersCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";

const createListReceiptFiltersCommand = () => new ListReceiptFiltersCommand({});

const run = async () => {
  const listReceiptFiltersCommand = createListReceiptFiltersCommand();

  return await sesClient.send(listReceiptFiltersCommand);
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ListReceiptFilters](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/ListReceiptFiltersCommand)。

### `ListTemplates`
<a name="ses_ListTemplates_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListTemplates`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { ListTemplatesCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";

const createListTemplatesCommand = (maxItems) =>
  new ListTemplatesCommand({ MaxItems: maxItems });

const run = async () => {
  const listTemplatesCommand = createListTemplatesCommand(10);

  try {
    return await sesClient.send(listTemplatesCommand);
  } catch (err) {
    console.log("Failed to list templates.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [ListTemplates](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/ListTemplatesCommand)。

### `SendBulkTemplatedEmail`
<a name="ses_SendBulkTemplatedEmail_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendBulkTemplatedEmail`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { SendBulkTemplatedEmailCommand } from "@aws-sdk/client-ses";
import {
  getUniqueName,
  postfix,
} from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

/**
 * Replace this with the name of an existing template.
 */
const TEMPLATE_NAME = getUniqueName("ReminderTemplate");

/**
 * Replace these with existing verified emails.
 */
const VERIFIED_EMAIL_1 = postfix(getUniqueName("Bilbo"), "@example.com");
const VERIFIED_EMAIL_2 = postfix(getUniqueName("Frodo"), "@example.com");

const USERS = [
  { firstName: "Bilbo", emailAddress: VERIFIED_EMAIL_1 },
  { firstName: "Frodo", emailAddress: VERIFIED_EMAIL_2 },
];

/**
 *
 * @param { { emailAddress: string, firstName: string }[] } users
 * @param { string } templateName the name of an existing template in SES
 * @returns { SendBulkTemplatedEmailCommand }
 */
const createBulkReminderEmailCommand = (users, templateName) => {
  return new SendBulkTemplatedEmailCommand({
    /**
     * Each 'Destination' uses a corresponding set of replacement data. We can map each user
     * to a 'Destination' and provide user specific replacement data to create personalized emails.
     *
     * Here's an example of how a template would be replaced with user data:
     * Template: <h1>Hello {{name}},</h1><p>Don't forget about the party gifts!</p>
     * Destination 1: <h1>Hello Bilbo,</h1><p>Don't forget about the party gifts!</p>
     * Destination 2: <h1>Hello Frodo,</h1><p>Don't forget about the party gifts!</p>
     */
    Destinations: users.map((user) => ({
      Destination: { ToAddresses: [user.emailAddress] },
      ReplacementTemplateData: JSON.stringify({ name: user.firstName }),
    })),
    DefaultTemplateData: JSON.stringify({ name: "Shireling" }),
    Source: VERIFIED_EMAIL_1,
    Template: templateName,
  });
};

const run = async () => {
  const sendBulkTemplateEmailCommand = createBulkReminderEmailCommand(
    USERS,
    TEMPLATE_NAME,
  );
  try {
    return await sesClient.send(sendBulkTemplateEmailCommand);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MessageRejected") {
      /** @type { import('@aws-sdk/client-ses').MessageRejected} */
      const messageRejectedError = caught;
      return messageRejectedError;
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [SendBulkTemplatedEmail](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/SendBulkTemplatedEmailCommand)。

### `SendEmail`
<a name="ses_SendEmail_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendEmail`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { SendEmailCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";

const createSendEmailCommand = (toAddress, fromAddress) => {
  return new SendEmailCommand({
    Destination: {
      /* required */
      CcAddresses: [
        /* more items */
      ],
      ToAddresses: [
        toAddress,
        /* more To-email addresses */
      ],
    },
    Message: {
      /* required */
      Body: {
        /* required */
        Html: {
          Charset: "UTF-8",
          Data: "HTML_FORMAT_BODY",
        },
        Text: {
          Charset: "UTF-8",
          Data: "TEXT_FORMAT_BODY",
        },
      },
      Subject: {
        Charset: "UTF-8",
        Data: "EMAIL_SUBJECT",
      },
    },
    Source: fromAddress,
    ReplyToAddresses: [
      /* more items */
    ],
  });
};

const run = async () => {
  const sendEmailCommand = createSendEmailCommand(
    "recipient@example.com",
    "sender@example.com",
  );

  try {
    return await sesClient.send(sendEmailCommand);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MessageRejected") {
      /** @type { import('@aws-sdk/client-ses').MessageRejected} */
      const messageRejectedError = caught;
      return messageRejectedError;
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [SendEmail](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/SendEmailCommand)。

### `SendRawEmail`
<a name="ses_SendRawEmail_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendRawEmail`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。
使用 [nodemailer](https://nodemailer.com/transports/ses) 發送含附件的電子郵件。  

```
import sesClientModule from "@aws-sdk/client-ses";
/**
 * nodemailer wraps the SES SDK and calls SendRawEmail. Use this for more advanced
 * functionality like adding attachments to your email.
 *
 * https://nodemailer.com/transports/ses
 */
import nodemailer from "nodemailer";

/**
 * @param {string} from An Amazon SES verified email address.
 * @param {*} to An Amazon SES verified email address.
 */
export const sendEmailWithAttachments = (
  from = "from@example.com",
  to = "to@example.com",
) => {
  const ses = new sesClientModule.SESClient({});
  const transporter = nodemailer.createTransport({
    SES: { ses, aws: sesClientModule },
  });

  return new Promise((resolve, reject) => {
    transporter.sendMail(
      {
        from,
        to,
        subject: "Hello World",
        text: "Greetings from Amazon SES!",
        attachments: [{ content: "Hello World!", filename: "hello.txt" }],
      },
      (err, info) => {
        if (err) {
          reject(err);
        } else {
          resolve(info);
        }
      },
    );
  });
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [SendRawEmail](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/SendRawEmailCommand)。

### `SendTemplatedEmail`
<a name="ses_SendTemplatedEmail_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendTemplatedEmail`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { SendTemplatedEmailCommand } from "@aws-sdk/client-ses";
import {
  getUniqueName,
  postfix,
} from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

/**
 * Replace this with the name of an existing template.
 */
const TEMPLATE_NAME = getUniqueName("ReminderTemplate");

/**
 * Replace these with existing verified emails.
 */
const VERIFIED_EMAIL = postfix(getUniqueName("Bilbo"), "@example.com");

const USER = { firstName: "Bilbo", emailAddress: VERIFIED_EMAIL };

/**
 *
 * @param { { emailAddress: string, firstName: string } } user
 * @param { string } templateName - The name of an existing template in Amazon SES.
 * @returns { SendTemplatedEmailCommand }
 */
const createReminderEmailCommand = (user, templateName) => {
  return new SendTemplatedEmailCommand({
    /**
     * Here's an example of how a template would be replaced with user data:
     * Template: <h1>Hello {{contact.firstName}},</h1><p>Don't forget about the party gifts!</p>
     * Destination: <h1>Hello Bilbo,</h1><p>Don't forget about the party gifts!</p>
     */
    Destination: { ToAddresses: [user.emailAddress] },
    TemplateData: JSON.stringify({ contact: { firstName: user.firstName } }),
    Source: VERIFIED_EMAIL,
    Template: templateName,
  });
};

const run = async () => {
  const sendReminderEmailCommand = createReminderEmailCommand(
    USER,
    TEMPLATE_NAME,
  );
  try {
    return await sesClient.send(sendReminderEmailCommand);
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MessageRejected") {
      /** @type { import('@aws-sdk/client-ses').MessageRejected} */
      const messageRejectedError = caught;
      return messageRejectedError;
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [SendTemplatedEmail](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/SendTemplatedEmailCommand)。

### `UpdateTemplate`
<a name="ses_UpdateTemplate_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateTemplate`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { UpdateTemplateCommand } from "@aws-sdk/client-ses";
import { getUniqueName } from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

const TEMPLATE_NAME = getUniqueName("TemplateName");
const HTML_PART = "<h1>Hello, World!</h1>";

const createUpdateTemplateCommand = () => {
  return new UpdateTemplateCommand({
    Template: {
      TemplateName: TEMPLATE_NAME,
      HtmlPart: HTML_PART,
      SubjectPart: "Example",
      TextPart: "Updated template text.",
    },
  });
};

const run = async () => {
  const updateTemplateCommand = createUpdateTemplateCommand();

  try {
    return await sesClient.send(updateTemplateCommand);
  } catch (err) {
    console.log("Failed to update template.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [UpdateTemplate](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/UpdateTemplateCommand)。

### `VerifyDomainIdentity`
<a name="ses_VerifyDomainIdentity_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `VerifyDomainIdentity`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
import { VerifyDomainIdentityCommand } from "@aws-sdk/client-ses";
import {
  getUniqueName,
  postfix,
} from "@aws-doc-sdk-examples/lib/utils/util-string.js";
import { sesClient } from "./libs/sesClient.js";

/**
 * You must have access to the domain's DNS settings to complete the
 * domain verification process.
 */
const DOMAIN_NAME = postfix(getUniqueName("Domain"), ".example.com");

const createVerifyDomainIdentityCommand = () => {
  return new VerifyDomainIdentityCommand({ Domain: DOMAIN_NAME });
};

const run = async () => {
  const VerifyDomainIdentityCommand = createVerifyDomainIdentityCommand();

  try {
    return await sesClient.send(VerifyDomainIdentityCommand);
  } catch (err) {
    console.log("Failed to verify domain.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [VerifyDomainIdentity](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/VerifyDomainIdentityCommand)。

### `VerifyEmailIdentity`
<a name="ses_VerifyEmailIdentity_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `VerifyEmailIdentity`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ses#code-examples)中設定和執行。

```
// Import required AWS SDK clients and commands for Node.js
import { VerifyEmailIdentityCommand } from "@aws-sdk/client-ses";
import { sesClient } from "./libs/sesClient.js";

const EMAIL_ADDRESS = "name@example.com";

const createVerifyEmailIdentityCommand = (emailAddress) => {
  return new VerifyEmailIdentityCommand({ EmailAddress: emailAddress });
};

const run = async () => {
  const verifyEmailIdentityCommand =
    createVerifyEmailIdentityCommand(EMAIL_ADDRESS);
  try {
    return await sesClient.send(verifyEmailIdentityCommand);
  } catch (err) {
    console.log("Failed to verify email identity.", err);
    return err;
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [VerifyEmailIdentity](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ses/command/VerifyEmailIdentityCommand)。

## 案例
<a name="scenarios"></a>

### 建置 Amazon Transcribe 串流應用程式
<a name="cross_TranscriptionStreamingApp_javascript_3_topic"></a>

下面的程式碼範例說明如何建置可即時記錄、轉錄和翻譯直播音訊並透過電子郵件傳送結果的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 說明如何使用 Amazon Transcribe 建置應用程式，該應用程式可即時記錄、轉錄和翻譯直播音訊，並可使用 Amazon Simple Email Service (Amazon SES) 透過電子郵件傳送結果。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/transcribe-streaming-app) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon SES
+ Amazon Transcribe
+ Amazon Translate

### 建立 Aurora 無伺服器工作項目追蹤器
<a name="cross_RDSDataTracker_javascript_3_topic"></a>

下列程式碼示範如何建立一個 Web 應用程式，該應用程式會追蹤 Amazon Aurora Serverless 資料庫中的工作項目，並使用 Amazon Simple Email Service (Amazon SES) 傳送報告。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 建立 Web 應用程式，以使用 Amazon Simple Email Service (Amazon SES) 追蹤 Amazon Aurora 資料庫中的工作項目和電子郵件報告。這個範例使用以 React.js 建置的前端與 Express Node.js 後端互動。  
+ 將 React.js Web 應用程式與 整合。 AWS 服務
+ 列出、新增和更新 Aurora 資料表中的項目。
+ 使用 Amazon SES 傳送篩選工作項目的電子郵件報告。
+ 使用隨附的 AWS CloudFormation 指令碼部署和管理範例資源。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/aurora-serverless-app) 上的完整範例。  

**此範例中使用的服務**
+ Aurora
+ Amazon RDS
+ Amazon RDS 資料服務
+ Amazon SES

### 偵測映像中的物件
<a name="cross_RekognitionPhotoAnalyzer_javascript_3_topic"></a>

下列程式碼範例示範如何建置應用程式，該應用程式可使用 Amazon Rekognition 依影像中的類別偵測物件。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Amazon Rekognition 搭配 適用於 JavaScript 的 AWS SDK 來建立使用 Amazon Rekognition 的應用程式，以在位於 Amazon Simple Storage Service (Amazon S3) 儲存貯體的影像中依類別識別物件。此應用程式可使用 Amazon Simple Email Service (Amazon SES) 向管理員傳送包含結果的電子郵件通知。  
了解如何：  
+ 使用 Amazon Cognito 建立未經身分驗證的使用者。
+ 使用 Amazon Rekognition 分析映像中的物件。
+ 驗證 Amazon SES 的電子郵件地址。
+ 使用 Amazon SES 傳送電子郵件通知。
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo_analyzer) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Rekognition
+ Amazon S3
+ Amazon SES

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon SNS 範例
<a name="javascript_3_sns_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon SNS 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)
+ [案例](#scenarios)
+ [無伺服器範例](#serverless_examples)

## 開始使用
<a name="get_started"></a>

### 您好 Amazon SNS
<a name="sns_Hello_javascript_3_topic"></a>

下列程式碼範例說明如何開始使用 Amazon SNS。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
初始化 SNS 用戶端並列出您帳戶中的主題。  

```
import { SNSClient, paginateListTopics } from "@aws-sdk/client-sns";

export const helloSns = async () => {
  // The configuration object (`{}`) is required. If the region and credentials
  // are omitted, the SDK uses your local configuration if it exists.
  const client = new SNSClient({});

  // You can also use `ListTopicsCommand`, but to use that command you must
  // handle the pagination yourself. You can do that by sending the `ListTopicsCommand`
  // with the `NextToken` parameter from the previous request.
  const paginatedTopics = paginateListTopics({ client }, {});
  const topics = [];

  for await (const page of paginatedTopics) {
    if (page.Topics?.length) {
      topics.push(...page.Topics);
    }
  }

  const suffix = topics.length === 1 ? "" : "s";

  console.log(
    `Hello, Amazon SNS! You have ${topics.length} topic${suffix} in your account.`,
  );
  console.log(topics.map((t) => `  * ${t.TopicArn}`).join("\n"));
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListTopics](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/ListTopicsCommand)。

## 動作
<a name="actions"></a>

### `CheckIfPhoneNumberIsOptedOut`
<a name="sns_CheckIfPhoneNumberIsOptedOut_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CheckIfPhoneNumberIsOptedOut`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { CheckIfPhoneNumberIsOptedOutCommand } from "@aws-sdk/client-sns";

import { snsClient } from "../libs/snsClient.js";

export const checkIfPhoneNumberIsOptedOut = async (
  phoneNumber = "5555555555",
) => {
  const command = new CheckIfPhoneNumberIsOptedOutCommand({
    phoneNumber,
  });

  const response = await snsClient.send(command);
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '3341c28a-cdc8-5b39-a3ee-9fb0ee125732',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   isOptedOut: false
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-sending-sms.html#sending-sms-checkifphonenumberisoptedout)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [CheckIfPhoneNumberIsOptedOut](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/CheckIfPhoneNumberIsOptedOutCommand)。

### `ConfirmSubscription`
<a name="sns_ConfirmSubscription_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ConfirmSubscription`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { ConfirmSubscriptionCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} token - This token is sent the subscriber. Only subscribers
 *                         that are not AWS services (HTTP/S, email) need to be confirmed.
 * @param {string} topicArn - The ARN of the topic for which you wish to confirm a subscription.
 */
export const confirmSubscription = async (
  token = "TOKEN",
  topicArn = "TOPIC_ARN",
) => {
  const response = await snsClient.send(
    // A subscription only needs to be confirmed if the endpoint type is
    // HTTP/S, email, or in another AWS account.
    new ConfirmSubscriptionCommand({
      Token: token,
      TopicArn: topicArn,
      // If this is true, the subscriber cannot unsubscribe while unauthenticated.
      AuthenticateOnUnsubscribe: "false",
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '4bb5bce9-805a-5517-8333-e1d2cface90b',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   SubscriptionArn: 'arn:aws:sns:us-east-1:xxxxxxxxxxxx:TOPIC_NAME:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-sending-sms.html#sending-sms-getattributes)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ConfirmSubscription](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/ConfirmSubscriptionCommand)。

### `CreateTopic`
<a name="sns_CreateTopic_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateTopic`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { CreateTopicCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicName - The name of the topic to create.
 */
export const createTopic = async (topicName = "TOPIC_NAME") => {
  const response = await snsClient.send(
    new CreateTopicCommand({ Name: topicName }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '087b8ad2-4593-50c4-a496-d7e90b82cf3e',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   TopicArn: 'arn:aws:sns:us-east-1:xxxxxxxxxxxx:TOPIC_NAME'
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-managing-topics-createtopic)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateTopic](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/CreateTopicCommand)。

### `DeleteTopic`
<a name="sns_DeleteTopic_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTopic`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { DeleteTopicCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicArn - The ARN of the topic to delete.
 */
export const deleteTopic = async (topicArn = "TOPIC_ARN") => {
  const response = await snsClient.send(
    new DeleteTopicCommand({ TopicArn: topicArn }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'a10e2886-5a8f-5114-af36-75bd39498332',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   }
  // }
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-managing-topics-deletetopic)。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteTopic](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/DeleteTopicCommand)。

### `GetSMSAttributes`
<a name="sns_GetSMSAttributes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetSMSAttributes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { GetSMSAttributesCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

export const getSmsAttributes = async () => {
  const response = await snsClient.send(
    // If you have not modified the account-level mobile settings of SNS,
    // the DefaultSMSType is undefined. For this example, it was set to
    // Transactional.
    new GetSMSAttributesCommand({ attributes: ["DefaultSMSType"] }),
  );

  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '67ad8386-4169-58f1-bdb9-debd281d48d5',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   attributes: { DefaultSMSType: 'Transactional' }
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-subscribing-unubscribing-topics.html#sns-confirm-subscription-email)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [GetSMSAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/GetSMSAttributesCommand)。

### `GetTopicAttributes`
<a name="sns_GetTopicAttributes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetTopicAttributes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { GetTopicAttributesCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicArn - The ARN of the topic to retrieve attributes for.
 */
export const getTopicAttributes = async (topicArn = "TOPIC_ARN") => {
  const response = await snsClient.send(
    new GetTopicAttributesCommand({
      TopicArn: topicArn,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '36b6a24e-5473-5d4e-ac32-ff72d9a73d94',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   Attributes: {
  //     Policy: '{...}',
  //     Owner: 'xxxxxxxxxxxx',
  //     SubscriptionsPending: '1',
  //     TopicArn: 'arn:aws:sns:us-east-1:xxxxxxxxxxxx:mytopic',
  //     TracingConfig: 'PassThrough',
  //     EffectiveDeliveryPolicy: '{"http":{"defaultHealthyRetryPolicy":{"minDelayTarget":20,"maxDelayTarget":20,"numRetries":3,"numMaxDelayRetries":0,"numNoDelayRetries":0,"numMinDelayRetries":0,"backoffFunction":"linear"},"disableSubscriptionOverrides":false,"defaultRequestPolicy":{"headerContentType":"text/plain; charset=UTF-8"}}}',
  //     SubscriptionsConfirmed: '0',
  //     DisplayName: '',
  //     SubscriptionsDeleted: '1'
  //   }
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-managing-topicsgetttopicattributes)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [GetTopicAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/GetTopicAttributesCommand)。

### `ListSubscriptions`
<a name="sns_ListSubscriptions_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListSubscriptions`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { ListSubscriptionsByTopicCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicArn - The ARN of the topic for which you wish to list subscriptions.
 */
export const listSubscriptionsByTopic = async (topicArn = "TOPIC_ARN") => {
  const response = await snsClient.send(
    new ListSubscriptionsByTopicCommand({ TopicArn: topicArn }),
  );

  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '0934fedf-0c4b-572e-9ed2-a3e38fadb0c8',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   Subscriptions: [
  //     {
  //       SubscriptionArn: 'PendingConfirmation',
  //       Owner: '901487484989',
  //       Protocol: 'email',
  //       Endpoint: 'corepyle@amazon.com',
  //       TopicArn: 'arn:aws:sns:us-east-1:901487484989:mytopic'
  //     }
  //   ]
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-managing-topicsgetttopicattributes)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListSubscriptions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/ListSubscriptionsCommand)。

### `ListTopics`
<a name="sns_ListTopics_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListTopics`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { ListTopicsCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

export const listTopics = async () => {
  const response = await snsClient.send(new ListTopicsCommand({}));
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '936bc5ad-83ca-53c2-b0b7-9891167b909e',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   Topics: [ { TopicArn: 'arn:aws:sns:us-east-1:xxxxxxxxxxxx:mytopic' } ]
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-managing-topics-listtopics)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [ListTopics](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/ListTopicsCommand)。

### `Publish`
<a name="sns_Publish_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `Publish`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { PublishCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string | Record<string, any>} message - The message to send. Can be a plain string or an object
 *                                                 if you are using the `json` `MessageStructure`.
 * @param {string} topicArn - The ARN of the topic to which you would like to publish.
 */
export const publish = async (
  message = "Hello from SNS!",
  topicArn = "TOPIC_ARN",
) => {
  const response = await snsClient.send(
    new PublishCommand({
      Message: message,
      TopicArn: topicArn,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'e7f77526-e295-5325-9ee4-281a43ad1f05',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   MessageId: 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'
  // }
  return response;
};
```
將訊息發佈至具有群組、複寫和屬性選項的主題。  

```
  async publishMessages() {
    const message = await this.prompter.input({
      message: MESSAGES.publishMessagePrompt,
    });

    let groupId;
    let deduplicationId;
    let choices;

    if (this.isFifo) {
      await this.logger.log(MESSAGES.groupIdNotice);
      groupId = await this.prompter.input({
        message: MESSAGES.groupIdPrompt,
      });

      if (this.autoDedup === false) {
        await this.logger.log(MESSAGES.deduplicationIdNotice);
        deduplicationId = await this.prompter.input({
          message: MESSAGES.deduplicationIdPrompt,
        });
      }

      choices = await this.prompter.checkbox({
        message: MESSAGES.messageAttributesPrompt,
        choices: toneChoices,
      });
    }

    await this.snsClient.send(
      new PublishCommand({
        TopicArn: this.topicArn,
        Message: message,
        ...(groupId
          ? {
              MessageGroupId: groupId,
            }
          : {}),
        ...(deduplicationId
          ? {
              MessageDeduplicationId: deduplicationId,
            }
          : {}),
        ...(choices
          ? {
              MessageAttributes: {
                tone: {
                  DataType: "String.Array",
                  StringValue: JSON.stringify(choices),
                },
              },
            }
          : {}),
      }),
    );

    const publishAnother = await this.prompter.confirm({
      message: MESSAGES.publishAnother,
    });

    if (publishAnother) {
      await this.publishMessages();
    }
  }
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-publishing-messages.html)》。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的[發佈](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/PublishCommand)。

### `SetSMSAttributes`
<a name="sns_SetSMSAttributes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SetSMSAttributes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { SetSMSAttributesCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {"Transactional" | "Promotional"} defaultSmsType
 */
export const setSmsType = async (defaultSmsType = "Transactional") => {
  const response = await snsClient.send(
    new SetSMSAttributesCommand({
      attributes: {
        // Promotional – (Default) Noncritical messages, such as marketing messages.
        // Transactional – Critical messages that support customer transactions,
        // such as one-time passcodes for multi-factor authentication.
        DefaultSMSType: defaultSmsType,
      },
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '1885b977-2d7e-535e-8214-e44be727e265',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   }
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-sending-sms.html#sending-sms-setattributes)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [SetSMSAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/SetSMSAttributesCommand)。

### `SetTopicAttributes`
<a name="sns_SetTopicAttributes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SetTopicAttributes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { SetTopicAttributesCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

export const setTopicAttributes = async (
  topicArn = "TOPIC_ARN",
  attributeName = "DisplayName",
  attributeValue = "Test Topic",
) => {
  const response = await snsClient.send(
    new SetTopicAttributesCommand({
      AttributeName: attributeName,
      AttributeValue: attributeValue,
      TopicArn: topicArn,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'd1b08d0e-e9a4-54c3-b8b1-d03238d2b935',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   }
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-managing-topicsstttopicattributes)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的 [SetTopicAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/SetTopicAttributesCommand)。

### `Subscribe`
<a name="sns_Subscribe_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `Subscribe`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { SubscribeCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicArn - The ARN of the topic for which you wish to confirm a subscription.
 * @param {string} emailAddress - The email address that is subscribed to the topic.
 */
export const subscribeEmail = async (
  topicArn = "TOPIC_ARN",
  emailAddress = "usern@me.com",
) => {
  const response = await snsClient.send(
    new SubscribeCommand({
      Protocol: "email",
      TopicArn: topicArn,
      Endpoint: emailAddress,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'c8e35bcd-b3c0-5940-9f66-06f6fcc108f0',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   SubscriptionArn: 'pending confirmation'
  // }
};
```
為行動應用程式訂閱主題。  

```
import { SubscribeCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicArn - The ARN of the topic the subscriber is subscribing to.
 * @param {string} endpoint - The Endpoint ARN of an application. This endpoint is created
 *                            when an application registers for notifications.
 */
export const subscribeApp = async (
  topicArn = "TOPIC_ARN",
  endpoint = "ENDPOINT",
) => {
  const response = await snsClient.send(
    new SubscribeCommand({
      Protocol: "application",
      TopicArn: topicArn,
      Endpoint: endpoint,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'c8e35bcd-b3c0-5940-9f66-06f6fcc108f0',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   SubscriptionArn: 'pending confirmation'
  // }
  return response;
};
```
將 Lambda 函式訂閱至主題。  

```
import { SubscribeCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} topicArn - The ARN of the topic the subscriber is subscribing to.
 * @param {string} endpoint - The Endpoint ARN of and AWS Lambda function.
 */
export const subscribeLambda = async (
  topicArn = "TOPIC_ARN",
  endpoint = "ENDPOINT",
) => {
  const response = await snsClient.send(
    new SubscribeCommand({
      Protocol: "lambda",
      TopicArn: topicArn,
      Endpoint: endpoint,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: 'c8e35bcd-b3c0-5940-9f66-06f6fcc108f0',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   SubscriptionArn: 'pending confirmation'
  // }
  return response;
};
```
為 SQS 佇列訂閱主題。  

```
import { SubscribeCommand, SNSClient } from "@aws-sdk/client-sns";

const client = new SNSClient({});

export const subscribeQueue = async (
  topicArn = "TOPIC_ARN",
  queueArn = "QUEUE_ARN",
) => {
  const command = new SubscribeCommand({
    TopicArn: topicArn,
    Protocol: "sqs",
    Endpoint: queueArn,
  });

  const response = await client.send(command);
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '931e13d9-5e2b-543f-8781-4e9e494c5ff2',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   SubscriptionArn: 'arn:aws:sns:us-east-1:xxxxxxxxxxxx:subscribe-queue-test-430895:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'
  // }
  return response;
};
```
使用篩選條件訂閱主題。  

```
import { SubscribeCommand, SNSClient } from "@aws-sdk/client-sns";

const client = new SNSClient({});

export const subscribeQueueFiltered = async (
  topicArn = "TOPIC_ARN",
  queueArn = "QUEUE_ARN",
) => {
  const command = new SubscribeCommand({
    TopicArn: topicArn,
    Protocol: "sqs",
    Endpoint: queueArn,
    Attributes: {
      // This subscription will only receive messages with the 'event' attribute set to 'order_placed'.
      FilterPolicyScope: "MessageAttributes",
      FilterPolicy: JSON.stringify({
        event: ["order_placed"],
      }),
    },
  });

  const response = await client.send(command);
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '931e13d9-5e2b-543f-8781-4e9e494c5ff2',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   SubscriptionArn: 'arn:aws:sns:us-east-1:xxxxxxxxxxxx:subscribe-queue-test-430895:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'
  // }
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-subscribing-email)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的[訂閱](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/SubscribeCommand)。

### `Unsubscribe`
<a name="sns_Unsubscribe_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `Unsubscribe`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sns#code-examples)中設定和執行。
在單獨的模組中建立用戶端並將其匯出。  

```
import { SNSClient } from "@aws-sdk/client-sns";

// The AWS Region can be provided here using the `region` property. If you leave it blank
// the SDK will default to the region set in your AWS config.
export const snsClient = new SNSClient({});
```
匯入 SDK 和用戶端模組，然後呼叫 API。  

```
import { UnsubscribeCommand } from "@aws-sdk/client-sns";
import { snsClient } from "../libs/snsClient.js";

/**
 * @param {string} subscriptionArn - The ARN of the subscription to cancel.
 */
const unsubscribe = async (
  subscriptionArn = "arn:aws:sns:us-east-1:xxxxxxxxxxxx:mytopic:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
) => {
  const response = await snsClient.send(
    new UnsubscribeCommand({
      SubscriptionArn: subscriptionArn,
    }),
  );
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '0178259a-9204-507c-b620-78a7570a44c6',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   }
  // }
  return response;
};
```
+  如需詳細資訊，請參閱[《適用於 JavaScript 的 AWS SDK 開發人員指南》](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sns-examples-managing-topics.html#sns-examples-unsubscribing)。
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API 參考*中的[取消訂閱](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/UnsubscribeCommand)。

## 案例
<a name="scenarios"></a>

### 建置應用程式以將資料提交至 DynamoDB 資料表
<a name="cross_SubmitDataApp_javascript_3_topic"></a>

下列程式碼範例顯示如何建置應用程式，以將資料提交至 Amazon DynamoDB 資料表，並在使用者更新資料表時通知您。

**適用於 JavaScript (v3) 的 SDK**  
 此範例說明如何建置應用程式，讓使用者將資料提交至 Amazon DynamoDB 資料表，以及使用 Amazon Simple Notification Service (Amazon SNS) 傳送文字訊息給管理員。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/submit-data-app) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cross-service-example-submitting-data.html)中取得。  

**此範例中使用的服務**
+ DynamoDB
+ Amazon SNS

### 建立無伺服器應用程式來管理相片
<a name="cross_PAM_javascript_3_topic"></a>

下列程式碼範例示範如何建立無伺服器應用程式，讓使用者以標籤管理相片。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何開發照片資產管理應用程式，以便使用 Amazon Rekognition 偵測圖片中的標籤，並將其儲存以供日後擷取。  
如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/photo-asset-manager) 上的完整範例。  
如要深入探索此範例的來源，請參閱 [AWS  社群](https://community.aws/posts/cloud-journeys/01-serverless-image-recognition-app)上的文章。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon Rekognition
+ Amazon S3
+ Amazon SNS

### 建立 Amazon Textract Explorer 應用程式
<a name="cross_TextractExplorer_javascript_3_topic"></a>

下列程式碼範例示範如何透過互動式應用程式探索 Amazon Textract 輸出。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK 建置 React 應用程式，該應用程式使用 Amazon Textract 從文件映像擷取資料，並將其顯示在互動式網頁中。此範例會在 Web 瀏覽器中執行，且登入資料需要經過驗證的 Amazon Cognito 身分。它使用 Amazon Simple Storage Service (Amazon S3 進行儲存，對於通知，它會輪詢訂閱 Amazon Simple Notification Service (Amazon SNS)) 主題的 Amazon Simple Queue Service (Amazon SQS) 佇列。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/textract-react) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Cognito Identity
+ Amazon S3
+ Amazon SNS
+ Amazon SQS
+ Amazon Textract

### 將訊息發佈至佇列
<a name="sqs_Scenario_TopicsAndQueues_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立主題 (FIFO 或非 FIFO)。
+ 為主題訂閱多個佇列，並提供套用篩選條件的選擇。
+ 發佈訊息至主題。
+ 輪詢佇列以獲取收到的訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-topics-queues#code-examples)中設定和執行。
這是此工作流程的進入點。  

```
import { SNSClient } from "@aws-sdk/client-sns";
import { SQSClient } from "@aws-sdk/client-sqs";

import { TopicsQueuesWkflw } from "./TopicsQueuesWkflw.js";
import { Prompter } from "@aws-doc-sdk-examples/lib/prompter.js";

export const startSnsWorkflow = () => {
  const snsClient = new SNSClient({});
  const sqsClient = new SQSClient({});
  const prompter = new Prompter();
  const logger = console;

  const wkflw = new TopicsQueuesWkflw(snsClient, sqsClient, prompter, logger);

  wkflw.start();
};
```
先前的程式碼提供必要的相依性，並啟動工作流程。下一節包含範例的大量內容。  

```
const toneChoices = [
  { name: "cheerful", value: "cheerful" },
  { name: "funny", value: "funny" },
  { name: "serious", value: "serious" },
  { name: "sincere", value: "sincere" },
];

export class TopicsQueuesWkflw {
  // SNS topic is configured as First-In-First-Out
  isFifo = true;

  // Automatic content-based deduplication is enabled.
  autoDedup = false;

  snsClient;
  sqsClient;
  topicName;
  topicArn;
  subscriptionArns = [];
  /**
   * @type {{ queueName: string, queueArn: string, queueUrl: string, policy?: string }[]}
   */
  queues = [];
  prompter;

  /**
   * @param {import('@aws-sdk/client-sns').SNSClient} snsClient
   * @param {import('@aws-sdk/client-sqs').SQSClient} sqsClient
   * @param {import('../../libs/prompter.js').Prompter} prompter
   * @param {import('../../libs/logger.js').Logger} logger
   */
  constructor(snsClient, sqsClient, prompter, logger) {
    this.snsClient = snsClient;
    this.sqsClient = sqsClient;
    this.prompter = prompter;
    this.logger = logger;
  }

  async welcome() {
    await this.logger.log(MESSAGES.description);
  }

  async confirmFifo() {
    await this.logger.log(MESSAGES.snsFifoDescription);
    this.isFifo = await this.prompter.confirm({
      message: MESSAGES.snsFifoPrompt,
    });

    if (this.isFifo) {
      this.logger.logSeparator(MESSAGES.headerDedup);
      await this.logger.log(MESSAGES.deduplicationNotice);
      await this.logger.log(MESSAGES.deduplicationDescription);
      this.autoDedup = await this.prompter.confirm({
        message: MESSAGES.deduplicationPrompt,
      });
    }
  }

  async createTopic() {
    await this.logger.log(MESSAGES.creatingTopics);
    this.topicName = await this.prompter.input({
      message: MESSAGES.topicNamePrompt,
    });
    if (this.isFifo) {
      this.topicName += ".fifo";
      this.logger.logSeparator(MESSAGES.headerFifoNaming);
      await this.logger.log(MESSAGES.appendFifoNotice);
    }

    const response = await this.snsClient.send(
      new CreateTopicCommand({
        Name: this.topicName,
        Attributes: {
          FifoTopic: this.isFifo ? "true" : "false",
          ...(this.autoDedup ? { ContentBasedDeduplication: "true" } : {}),
        },
      }),
    );

    this.topicArn = response.TopicArn;

    await this.logger.log(
      MESSAGES.topicCreatedNotice
        .replace("${TOPIC_NAME}", this.topicName)
        .replace("${TOPIC_ARN}", this.topicArn),
    );
  }

  async createQueues() {
    await this.logger.log(MESSAGES.createQueuesNotice);
    // Increase this number to add more queues.
    const maxQueues = 2;

    for (let i = 0; i < maxQueues; i++) {
      await this.logger.log(MESSAGES.queueCount.replace("${COUNT}", i + 1));
      let queueName = await this.prompter.input({
        message: MESSAGES.queueNamePrompt.replace(
          "${EXAMPLE_NAME}",
          i === 0 ? "good-news" : "bad-news",
        ),
      });

      if (this.isFifo) {
        queueName += ".fifo";
        await this.logger.log(MESSAGES.appendFifoNotice);
      }

      const response = await this.sqsClient.send(
        new CreateQueueCommand({
          QueueName: queueName,
          Attributes: { ...(this.isFifo ? { FifoQueue: "true" } : {}) },
        }),
      );

      const { Attributes } = await this.sqsClient.send(
        new GetQueueAttributesCommand({
          QueueUrl: response.QueueUrl,
          AttributeNames: ["QueueArn"],
        }),
      );

      this.queues.push({
        queueName,
        queueArn: Attributes.QueueArn,
        queueUrl: response.QueueUrl,
      });

      await this.logger.log(
        MESSAGES.queueCreatedNotice
          .replace("${QUEUE_NAME}", queueName)
          .replace("${QUEUE_URL}", response.QueueUrl)
          .replace("${QUEUE_ARN}", Attributes.QueueArn),
      );
    }
  }

  async attachQueueIamPolicies() {
    for (const [index, queue] of this.queues.entries()) {
      const policy = JSON.stringify(
        {
          Statement: [
            {
              Effect: "Allow",
              Principal: {
                Service: "sns.amazonaws.com",
              },
              Action: "sqs:SendMessage",
              Resource: queue.queueArn,
              Condition: {
                ArnEquals: {
                  "aws:SourceArn": this.topicArn,
                },
              },
            },
          ],
        },
        null,
        2,
      );

      if (index !== 0) {
        this.logger.logSeparator();
      }

      await this.logger.log(MESSAGES.attachPolicyNotice);
      console.log(policy);
      const addPolicy = await this.prompter.confirm({
        message: MESSAGES.addPolicyConfirmation.replace(
          "${QUEUE_NAME}",
          queue.queueName,
        ),
      });

      if (addPolicy) {
        await this.sqsClient.send(
          new SetQueueAttributesCommand({
            QueueUrl: queue.queueUrl,
            Attributes: {
              Policy: policy,
            },
          }),
        );
        queue.policy = policy;
      } else {
        await this.logger.log(
          MESSAGES.policyNotAttachedNotice.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
        );
      }
    }
  }

  async subscribeQueuesToTopic() {
    for (const [index, queue] of this.queues.entries()) {
      /**
       * @type {import('@aws-sdk/client-sns').SubscribeCommandInput}
       */
      const subscribeParams = {
        TopicArn: this.topicArn,
        Protocol: "sqs",
        Endpoint: queue.queueArn,
      };
      let tones = [];

      if (this.isFifo) {
        if (index === 0) {
          await this.logger.log(MESSAGES.fifoFilterNotice);
        }
        tones = await this.prompter.checkbox({
          message: MESSAGES.fifoFilterSelect.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
          choices: toneChoices,
        });

        if (tones.length) {
          subscribeParams.Attributes = {
            FilterPolicyScope: "MessageAttributes",
            FilterPolicy: JSON.stringify({
              tone: tones,
            }),
          };
        }
      }

      const { SubscriptionArn } = await this.snsClient.send(
        new SubscribeCommand(subscribeParams),
      );

      this.subscriptionArns.push(SubscriptionArn);

      await this.logger.log(
        MESSAGES.queueSubscribedNotice
          .replace("${QUEUE_NAME}", queue.queueName)
          .replace("${TOPIC_NAME}", this.topicName)
          .replace("${TONES}", tones.length ? tones.join(", ") : "none"),
      );
    }
  }

  async publishMessages() {
    const message = await this.prompter.input({
      message: MESSAGES.publishMessagePrompt,
    });

    let groupId;
    let deduplicationId;
    let choices;

    if (this.isFifo) {
      await this.logger.log(MESSAGES.groupIdNotice);
      groupId = await this.prompter.input({
        message: MESSAGES.groupIdPrompt,
      });

      if (this.autoDedup === false) {
        await this.logger.log(MESSAGES.deduplicationIdNotice);
        deduplicationId = await this.prompter.input({
          message: MESSAGES.deduplicationIdPrompt,
        });
      }

      choices = await this.prompter.checkbox({
        message: MESSAGES.messageAttributesPrompt,
        choices: toneChoices,
      });
    }

    await this.snsClient.send(
      new PublishCommand({
        TopicArn: this.topicArn,
        Message: message,
        ...(groupId
          ? {
              MessageGroupId: groupId,
            }
          : {}),
        ...(deduplicationId
          ? {
              MessageDeduplicationId: deduplicationId,
            }
          : {}),
        ...(choices
          ? {
              MessageAttributes: {
                tone: {
                  DataType: "String.Array",
                  StringValue: JSON.stringify(choices),
                },
              },
            }
          : {}),
      }),
    );

    const publishAnother = await this.prompter.confirm({
      message: MESSAGES.publishAnother,
    });

    if (publishAnother) {
      await this.publishMessages();
    }
  }

  async receiveAndDeleteMessages() {
    for (const queue of this.queues) {
      const { Messages } = await this.sqsClient.send(
        new ReceiveMessageCommand({
          QueueUrl: queue.queueUrl,
        }),
      );

      if (Messages) {
        await this.logger.log(
          MESSAGES.messagesReceivedNotice.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
        );
        console.log(Messages);

        await this.sqsClient.send(
          new DeleteMessageBatchCommand({
            QueueUrl: queue.queueUrl,
            Entries: Messages.map((message) => ({
              Id: message.MessageId,
              ReceiptHandle: message.ReceiptHandle,
            })),
          }),
        );
      } else {
        await this.logger.log(
          MESSAGES.noMessagesReceivedNotice.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
        );
      }
    }

    const deleteAndPoll = await this.prompter.confirm({
      message: MESSAGES.deleteAndPollConfirmation,
    });

    if (deleteAndPoll) {
      await this.receiveAndDeleteMessages();
    }
  }

  async destroyResources() {
    for (const subscriptionArn of this.subscriptionArns) {
      await this.snsClient.send(
        new UnsubscribeCommand({ SubscriptionArn: subscriptionArn }),
      );
    }

    for (const queue of this.queues) {
      await this.sqsClient.send(
        new DeleteQueueCommand({ QueueUrl: queue.queueUrl }),
      );
    }

    if (this.topicArn) {
      await this.snsClient.send(
        new DeleteTopicCommand({ TopicArn: this.topicArn }),
      );
    }
  }

  async start() {
    console.clear();

    try {
      this.logger.logSeparator(MESSAGES.headerWelcome);
      await this.welcome();
      this.logger.logSeparator(MESSAGES.headerFifo);
      await this.confirmFifo();
      this.logger.logSeparator(MESSAGES.headerCreateTopic);
      await this.createTopic();
      this.logger.logSeparator(MESSAGES.headerCreateQueues);
      await this.createQueues();
      this.logger.logSeparator(MESSAGES.headerAttachPolicy);
      await this.attachQueueIamPolicies();
      this.logger.logSeparator(MESSAGES.headerSubscribeQueues);
      await this.subscribeQueuesToTopic();
      this.logger.logSeparator(MESSAGES.headerPublishMessage);
      await this.publishMessages();
      this.logger.logSeparator(MESSAGES.headerReceiveMessages);
      await this.receiveAndDeleteMessages();
    } catch (err) {
      console.error(err);
    } finally {
      await this.destroyResources();
    }
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [CreateQueue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/CreateQueueCommand)
  + [CreateTopic](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/CreateTopicCommand)
  + [DeleteMessageBatch](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteMessageBatchCommand)
  + [DeleteQueue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteQueueCommand)
  + [DeleteTopic](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/DeleteTopicCommand)
  + [GetQueueAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/GetQueueAttributesCommand)
  + [發布](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/PublishCommand)
  + [ReceiveMessage](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/ReceiveMessageCommand)
  + [SetQueueAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/SetQueueAttributesCommand)
  + [Subscribe](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/SubscribeCommand)
  + [Unsubscribe](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/UnsubscribeCommand)

### 使用 API Gateway 來調用 Lambda 函式
<a name="cross_LambdaAPIGateway_javascript_3_topic"></a>

下列程式碼範例示範如何建立 Amazon API Gateway 調用的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Lambda JavaScript 執行時間 API 建立 AWS Lambda 函數。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立 Amazon API Gateway 調用的 Lambda 函式，該函數會掃描 Amazon DynamoDB 資料表中的工作週年紀念日，並使用 Amazon Simple Notification Service (Amazon SNS) 傳送文字訊息給您的員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-api-gateway) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/api-gateway-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ API Gateway
+ DynamoDB
+ Lambda
+ Amazon SNS

### 使用排程事件來調用 Lambda 函式
<a name="cross_LambdaScheduledEvents_javascript_3_topic"></a>

下列程式碼範例示範如何建立由 Amazon EventBridge 排程事件呼叫的 AWS Lambda 函數。

**適用於 JavaScript (v3) 的 SDK**  
 顯示如何建立叫用 AWS Lambda 函數的 Amazon EventBridge 排程事件。將 EventBridge 設定為在調用 Lambda 函式時使用 Cron 表達式來進行排程。在此範例中，您會使用 Lambda JavaScript 執行時期 API 建立 Lambda 函式。此範例會叫用不同的 AWS 服務來執行特定的使用案例。此範例示範如何建立應用程式，將行動裝置文字訊息傳送給員工，在他們的週年紀念日向他們道賀。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-scheduled-events) 上的完整範例。  
此範例也可在 [適用於 JavaScript 的 AWS SDK v3 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/scheduled-events-invoking-lambda-example.html)中取得。  

**此範例中使用的服務**
+ CloudWatch Logs
+ DynamoDB
+ EventBridge
+ Lambda
+ Amazon SNS

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 Amazon SNS 觸發條件調用 Lambda 函數
<a name="serverless_SNS_Lambda_javascript_3_topic"></a>

下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SNS 主題的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-sns-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 SNS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const record of event.Records) {
    await processMessageAsync(record);
  }
  console.info("done");
};

async function processMessageAsync(record) {
  try {
    const message = JSON.stringify(record.Sns.Message);
    console.log(`Processed message ${message}`);
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```
使用 TypeScript 搭配 Lambda 來使用 SNS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { SNSEvent, Context, SNSHandler, SNSEventRecord } from "aws-lambda";

export const functionHandler: SNSHandler = async (
  event: SNSEvent,
  context: Context
): Promise<void> => {
  for (const record of event.Records) {
    await processMessageAsync(record);
  }
  console.info("done");
};

async function processMessageAsync(record: SNSEventRecord): Promise<any> {
  try {
    const message: string = JSON.stringify(record.Sns.Message);
    console.log(`Processed message ${message}`);
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon SQS 範例
<a name="javascript_3_sqs_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon SQS 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [動作](#actions)
+ [案例](#scenarios)
+ [無伺服器範例](#serverless_examples)

## 開始使用
<a name="get_started"></a>

### Hello Amazon SQS
<a name="sqs_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 Amazon SQS。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
初始化 Amazon SQS 用戶端，並列出佇列。  

```
import { SQSClient, paginateListQueues } from "@aws-sdk/client-sqs";

export const helloSqs = async () => {
  // The configuration object (`{}`) is required. If the region and credentials
  // are omitted, the SDK uses your local configuration if it exists.
  const client = new SQSClient({});

  // You can also use `ListQueuesCommand`, but to use that command you must
  // handle the pagination yourself. You can do that by sending the `ListQueuesCommand`
  // with the `NextToken` parameter from the previous request.
  const paginatedQueues = paginateListQueues({ client }, {});
  const queues = [];

  for await (const page of paginatedQueues) {
    if (page.QueueUrls?.length) {
      queues.push(...page.QueueUrls);
    }
  }

  const suffix = queues.length === 1 ? "" : "s";

  console.log(
    `Hello, Amazon SQS! You have ${queues.length} queue${suffix} in your account.`,
  );
  console.log(queues.map((t) => `  * ${t}`).join("\n"));
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListQueues](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/ListQueuesCommand)。

## 動作
<a name="actions"></a>

### `ChangeMessageVisibility`
<a name="sqs_ChangeMessageVisibility_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ChangeMessageVisibility`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
接收 Amazon SQS 訊息，並變更其逾時可見性。  

```
import {
  ReceiveMessageCommand,
  ChangeMessageVisibilityCommand,
  SQSClient,
} from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";

const receiveMessage = (queueUrl) =>
  client.send(
    new ReceiveMessageCommand({
      AttributeNames: ["SentTimestamp"],
      MaxNumberOfMessages: 1,
      MessageAttributeNames: ["All"],
      QueueUrl: queueUrl,
      WaitTimeSeconds: 1,
    }),
  );

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const { Messages } = await receiveMessage(queueUrl);

  const response = await client.send(
    new ChangeMessageVisibilityCommand({
      QueueUrl: queueUrl,
      ReceiptHandle: Messages[0].ReceiptHandle,
      VisibilityTimeout: 20,
    }),
  );
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ChangeMessageVisibility](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/ChangeMessageVisibilityCommand)。

### `CreateQueue`
<a name="sqs_CreateQueue_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateQueue`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
建立 Amazon SQS 標準佇列。  

```
import { CreateQueueCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_NAME = "test-queue";

export const main = async (sqsQueueName = SQS_QUEUE_NAME) => {
  const command = new CreateQueueCommand({
    QueueName: sqsQueueName,
    Attributes: {
      DelaySeconds: "60",
      MessageRetentionPeriod: "86400",
    },
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
使用長輪詢建立 Amazon SQS 佇列。  

```
import { CreateQueueCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_NAME = "queue_name";

export const main = async (queueName = SQS_QUEUE_NAME) => {
  const response = await client.send(
    new CreateQueueCommand({
      QueueName: queueName,
      Attributes: {
        // When the wait time for the ReceiveMessage API action is greater than 0,
        // long polling is in effect. The maximum long polling wait time is 20
        // seconds. Long polling helps reduce the cost of using Amazon SQS by,
        // eliminating the number of empty responses and false empty responses.
        // https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-short-and-long-polling.html
        ReceiveMessageWaitTimeSeconds: "20",
      },
    }),
  );
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sqs-examples-using-queues.html#sqs-examples-using-queues-create-queue)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateQueue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/CreateQueueCommand)。

### `DeleteMessage`
<a name="sqs_DeleteMessage_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteMessage`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
接收和刪除 Amazon SQS 訊息。  

```
import {
  ReceiveMessageCommand,
  DeleteMessageCommand,
  SQSClient,
  DeleteMessageBatchCommand,
} from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";

const receiveMessage = (queueUrl) =>
  client.send(
    new ReceiveMessageCommand({
      AttributeNames: ["SentTimestamp"],
      MaxNumberOfMessages: 10,
      MessageAttributeNames: ["All"],
      QueueUrl: queueUrl,
      WaitTimeSeconds: 20,
      VisibilityTimeout: 20,
    }),
  );

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const { Messages } = await receiveMessage(queueUrl);

  if (!Messages) {
    return;
  }

  if (Messages.length === 1) {
    console.log(Messages[0].Body);
    await client.send(
      new DeleteMessageCommand({
        QueueUrl: queueUrl,
        ReceiptHandle: Messages[0].ReceiptHandle,
      }),
    );
  } else {
    await client.send(
      new DeleteMessageBatchCommand({
        QueueUrl: queueUrl,
        Entries: Messages.map((message) => ({
          Id: message.MessageId,
          ReceiptHandle: message.ReceiptHandle,
        })),
      }),
    );
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteMessage](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteMessageCommand)。

### `DeleteMessageBatch`
<a name="sqs_DeleteMessageBatch_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteMessageBatch`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。

```
import {
  ReceiveMessageCommand,
  DeleteMessageCommand,
  SQSClient,
  DeleteMessageBatchCommand,
} from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";

const receiveMessage = (queueUrl) =>
  client.send(
    new ReceiveMessageCommand({
      AttributeNames: ["SentTimestamp"],
      MaxNumberOfMessages: 10,
      MessageAttributeNames: ["All"],
      QueueUrl: queueUrl,
      WaitTimeSeconds: 20,
      VisibilityTimeout: 20,
    }),
  );

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const { Messages } = await receiveMessage(queueUrl);

  if (!Messages) {
    return;
  }

  if (Messages.length === 1) {
    console.log(Messages[0].Body);
    await client.send(
      new DeleteMessageCommand({
        QueueUrl: queueUrl,
        ReceiptHandle: Messages[0].ReceiptHandle,
      }),
    );
  } else {
    await client.send(
      new DeleteMessageBatchCommand({
        QueueUrl: queueUrl,
        Entries: Messages.map((message) => ({
          Id: message.MessageId,
          ReceiptHandle: message.ReceiptHandle,
        })),
      }),
    );
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteMessageBatch](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteMessageBatchCommand)。

### `DeleteQueue`
<a name="sqs_DeleteQueue_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteQueue`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
刪除 Amazon SQS 佇列。  

```
import { DeleteQueueCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "test-queue-url";

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const command = new DeleteQueueCommand({ QueueUrl: queueUrl });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sqs-examples-using-queues.html#sqs-examples-using-queues-delete-queue)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteQueue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteQueueCommand)。

### `GetQueueAttributes`
<a name="sqs_GetQueueAttributes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetQueueAttributes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。

```
import { GetQueueAttributesCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue-url";

export const getQueueAttributes = async (queueUrl = SQS_QUEUE_URL) => {
  const command = new GetQueueAttributesCommand({
    QueueUrl: queueUrl,
    AttributeNames: ["DelaySeconds"],
  });

  const response = await client.send(command);
  console.log(response);
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '747a1192-c334-5682-a508-4cd5e8dc4e79',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   Attributes: { DelaySeconds: '1' }
  // }
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetQueueAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/GetQueueAttributesCommand)。

### `GetQueueUrl`
<a name="sqs_GetQueueUrl_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `GetQueueUrl`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
取得 Amazon SQS 佇列的 URL。  

```
import { GetQueueUrlCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_NAME = "test-queue";

export const main = async (queueName = SQS_QUEUE_NAME) => {
  const command = new GetQueueUrlCommand({ QueueName: queueName });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sqs-examples-using-queues.html#sqs-examples-using-queues-get-queue-url)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [GetQueueUrl](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/GetQueueUrlCommand)。

### `ListQueues`
<a name="sqs_ListQueues_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListQueues`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
列出您的 Amazon SQS 佇列。  

```
import { paginateListQueues, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});

export const main = async () => {
  const paginatedListQueues = paginateListQueues({ client }, {});

  /** @type {string[]} */
  const urls = [];
  for await (const page of paginatedListQueues) {
    const nextUrls = page.QueueUrls?.filter((qurl) => !!qurl) || [];
    urls.push(...nextUrls);
    for (const url of urls) {
      console.log(url);
    }
  }

  return urls;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sqs-examples-using-queues.html#sqs-examples-using-queues-listing-queues)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListQueues](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/ListQueuesCommand)。

### `ReceiveMessage`
<a name="sqs_ReceiveMessage_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ReceiveMessage`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
接收 Amazon SQS 佇列的訊息。  

```
import {
  ReceiveMessageCommand,
  DeleteMessageCommand,
  SQSClient,
  DeleteMessageBatchCommand,
} from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";

const receiveMessage = (queueUrl) =>
  client.send(
    new ReceiveMessageCommand({
      AttributeNames: ["SentTimestamp"],
      MaxNumberOfMessages: 10,
      MessageAttributeNames: ["All"],
      QueueUrl: queueUrl,
      WaitTimeSeconds: 20,
      VisibilityTimeout: 20,
    }),
  );

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const { Messages } = await receiveMessage(queueUrl);

  if (!Messages) {
    return;
  }

  if (Messages.length === 1) {
    console.log(Messages[0].Body);
    await client.send(
      new DeleteMessageCommand({
        QueueUrl: queueUrl,
        ReceiptHandle: Messages[0].ReceiptHandle,
      }),
    );
  } else {
    await client.send(
      new DeleteMessageBatchCommand({
        QueueUrl: queueUrl,
        Entries: Messages.map((message) => ({
          Id: message.MessageId,
          ReceiptHandle: message.ReceiptHandle,
        })),
      }),
    );
  }
};
```
使用長輪詢支援從 Amazon SQS 佇列接收訊息。  

```
import { ReceiveMessageCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue-url";

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const command = new ReceiveMessageCommand({
    AttributeNames: ["SentTimestamp"],
    MaxNumberOfMessages: 1,
    MessageAttributeNames: ["All"],
    QueueUrl: queueUrl,
    // The duration (in seconds) for which the call waits for a message
    // to arrive in the queue before returning. If a message is available,
    // the call returns sooner than WaitTimeSeconds. If no messages are
    // available and the wait time expires, the call returns successfully
    // with an empty list of messages.
    // https://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_ReceiveMessage.html#API_ReceiveMessage_RequestSyntax
    WaitTimeSeconds: 20,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ReceiveMessage](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/ReceiveMessageCommand)。

### `SendMessage`
<a name="sqs_SendMessage_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendMessage`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。
傳送訊息至 Amazon SQS 佇列。  

```
import { SendMessageCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";

export const main = async (sqsQueueUrl = SQS_QUEUE_URL) => {
  const command = new SendMessageCommand({
    QueueUrl: sqsQueueUrl,
    DelaySeconds: 10,
    MessageAttributes: {
      Title: {
        DataType: "String",
        StringValue: "The Whistler",
      },
      Author: {
        DataType: "String",
        StringValue: "John Grisham",
      },
      WeeksOn: {
        DataType: "Number",
        StringValue: "6",
      },
    },
    MessageBody:
      "Information about current NY Times fiction bestseller for week of 12/11/2016.",
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/sqs-examples-send-receive-messages.html#sqs-examples-send-receive-messages-sending)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [SendMessage](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/SendMessageCommand)。

### `SetQueueAttributes`
<a name="sqs_SetQueueAttributes_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SetQueueAttributes`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sqs#code-examples)中設定和執行。

```
import { SetQueueAttributesCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue-url";

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const command = new SetQueueAttributesCommand({
    QueueUrl: queueUrl,
    Attributes: {
      DelaySeconds: "1",
    },
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
設定 Amazon SQS 佇列以使用長輪詢。  

```
import { SetQueueAttributesCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";

export const main = async (queueUrl = SQS_QUEUE_URL) => {
  const command = new SetQueueAttributesCommand({
    Attributes: {
      ReceiveMessageWaitTimeSeconds: "20",
    },
    QueueUrl: queueUrl,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
設定無效信件佇列。  

```
import { SetQueueAttributesCommand, SQSClient } from "@aws-sdk/client-sqs";

const client = new SQSClient({});
const SQS_QUEUE_URL = "queue_url";
const DEAD_LETTER_QUEUE_ARN = "dead_letter_queue_arn";

export const main = async (
  queueUrl = SQS_QUEUE_URL,
  deadLetterQueueArn = DEAD_LETTER_QUEUE_ARN,
) => {
  const command = new SetQueueAttributesCommand({
    Attributes: {
      RedrivePolicy: JSON.stringify({
        // Amazon SQS supports dead-letter queues (DLQ), which other
        // queues (source queues) can target for messages that can't
        // be processed (consumed) successfully.
        // https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter-queues.html
        deadLetterTargetArn: deadLetterQueueArn,
        maxReceiveCount: "10",
      }),
    },
    QueueUrl: queueUrl,
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [SetQueueAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/SetQueueAttributesCommand)。

## 案例
<a name="scenarios"></a>

### 建立 Amazon Textract Explorer 應用程式
<a name="cross_TextractExplorer_javascript_3_topic"></a>

下列程式碼範例示範如何透過互動式應用程式探索 Amazon Textract 輸出。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK 建置 React 應用程式，該應用程式使用 Amazon Textract 從文件映像擷取資料，並將其顯示在互動式網頁中。此範例會在 Web 瀏覽器中執行，且登入資料需要經過驗證的 Amazon Cognito 身分。它使用 Amazon Simple Storage Service (Amazon S3 進行儲存，對於通知，它會輪詢訂閱 Amazon Simple Notification Service (Amazon SNS)) 主題的 Amazon Simple Queue Service (Amazon SQS) 佇列。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/textract-react) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Cognito Identity
+ Amazon S3
+ Amazon SNS
+ Amazon SQS
+ Amazon Textract

### 將訊息發佈至佇列
<a name="sqs_Scenario_TopicsAndQueues_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立主題 (FIFO 或非 FIFO)。
+ 為主題訂閱多個佇列，並提供套用篩選條件的選擇。
+ 發佈訊息至主題。
+ 輪詢佇列以獲取收到的訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/wkflw-topics-queues#code-examples)中設定和執行。
這是此工作流程的進入點。  

```
import { SNSClient } from "@aws-sdk/client-sns";
import { SQSClient } from "@aws-sdk/client-sqs";

import { TopicsQueuesWkflw } from "./TopicsQueuesWkflw.js";
import { Prompter } from "@aws-doc-sdk-examples/lib/prompter.js";

export const startSnsWorkflow = () => {
  const snsClient = new SNSClient({});
  const sqsClient = new SQSClient({});
  const prompter = new Prompter();
  const logger = console;

  const wkflw = new TopicsQueuesWkflw(snsClient, sqsClient, prompter, logger);

  wkflw.start();
};
```
先前的程式碼提供必要的相依性，並啟動工作流程。下一節包含範例的大量內容。  

```
const toneChoices = [
  { name: "cheerful", value: "cheerful" },
  { name: "funny", value: "funny" },
  { name: "serious", value: "serious" },
  { name: "sincere", value: "sincere" },
];

export class TopicsQueuesWkflw {
  // SNS topic is configured as First-In-First-Out
  isFifo = true;

  // Automatic content-based deduplication is enabled.
  autoDedup = false;

  snsClient;
  sqsClient;
  topicName;
  topicArn;
  subscriptionArns = [];
  /**
   * @type {{ queueName: string, queueArn: string, queueUrl: string, policy?: string }[]}
   */
  queues = [];
  prompter;

  /**
   * @param {import('@aws-sdk/client-sns').SNSClient} snsClient
   * @param {import('@aws-sdk/client-sqs').SQSClient} sqsClient
   * @param {import('../../libs/prompter.js').Prompter} prompter
   * @param {import('../../libs/logger.js').Logger} logger
   */
  constructor(snsClient, sqsClient, prompter, logger) {
    this.snsClient = snsClient;
    this.sqsClient = sqsClient;
    this.prompter = prompter;
    this.logger = logger;
  }

  async welcome() {
    await this.logger.log(MESSAGES.description);
  }

  async confirmFifo() {
    await this.logger.log(MESSAGES.snsFifoDescription);
    this.isFifo = await this.prompter.confirm({
      message: MESSAGES.snsFifoPrompt,
    });

    if (this.isFifo) {
      this.logger.logSeparator(MESSAGES.headerDedup);
      await this.logger.log(MESSAGES.deduplicationNotice);
      await this.logger.log(MESSAGES.deduplicationDescription);
      this.autoDedup = await this.prompter.confirm({
        message: MESSAGES.deduplicationPrompt,
      });
    }
  }

  async createTopic() {
    await this.logger.log(MESSAGES.creatingTopics);
    this.topicName = await this.prompter.input({
      message: MESSAGES.topicNamePrompt,
    });
    if (this.isFifo) {
      this.topicName += ".fifo";
      this.logger.logSeparator(MESSAGES.headerFifoNaming);
      await this.logger.log(MESSAGES.appendFifoNotice);
    }

    const response = await this.snsClient.send(
      new CreateTopicCommand({
        Name: this.topicName,
        Attributes: {
          FifoTopic: this.isFifo ? "true" : "false",
          ...(this.autoDedup ? { ContentBasedDeduplication: "true" } : {}),
        },
      }),
    );

    this.topicArn = response.TopicArn;

    await this.logger.log(
      MESSAGES.topicCreatedNotice
        .replace("${TOPIC_NAME}", this.topicName)
        .replace("${TOPIC_ARN}", this.topicArn),
    );
  }

  async createQueues() {
    await this.logger.log(MESSAGES.createQueuesNotice);
    // Increase this number to add more queues.
    const maxQueues = 2;

    for (let i = 0; i < maxQueues; i++) {
      await this.logger.log(MESSAGES.queueCount.replace("${COUNT}", i + 1));
      let queueName = await this.prompter.input({
        message: MESSAGES.queueNamePrompt.replace(
          "${EXAMPLE_NAME}",
          i === 0 ? "good-news" : "bad-news",
        ),
      });

      if (this.isFifo) {
        queueName += ".fifo";
        await this.logger.log(MESSAGES.appendFifoNotice);
      }

      const response = await this.sqsClient.send(
        new CreateQueueCommand({
          QueueName: queueName,
          Attributes: { ...(this.isFifo ? { FifoQueue: "true" } : {}) },
        }),
      );

      const { Attributes } = await this.sqsClient.send(
        new GetQueueAttributesCommand({
          QueueUrl: response.QueueUrl,
          AttributeNames: ["QueueArn"],
        }),
      );

      this.queues.push({
        queueName,
        queueArn: Attributes.QueueArn,
        queueUrl: response.QueueUrl,
      });

      await this.logger.log(
        MESSAGES.queueCreatedNotice
          .replace("${QUEUE_NAME}", queueName)
          .replace("${QUEUE_URL}", response.QueueUrl)
          .replace("${QUEUE_ARN}", Attributes.QueueArn),
      );
    }
  }

  async attachQueueIamPolicies() {
    for (const [index, queue] of this.queues.entries()) {
      const policy = JSON.stringify(
        {
          Statement: [
            {
              Effect: "Allow",
              Principal: {
                Service: "sns.amazonaws.com",
              },
              Action: "sqs:SendMessage",
              Resource: queue.queueArn,
              Condition: {
                ArnEquals: {
                  "aws:SourceArn": this.topicArn,
                },
              },
            },
          ],
        },
        null,
        2,
      );

      if (index !== 0) {
        this.logger.logSeparator();
      }

      await this.logger.log(MESSAGES.attachPolicyNotice);
      console.log(policy);
      const addPolicy = await this.prompter.confirm({
        message: MESSAGES.addPolicyConfirmation.replace(
          "${QUEUE_NAME}",
          queue.queueName,
        ),
      });

      if (addPolicy) {
        await this.sqsClient.send(
          new SetQueueAttributesCommand({
            QueueUrl: queue.queueUrl,
            Attributes: {
              Policy: policy,
            },
          }),
        );
        queue.policy = policy;
      } else {
        await this.logger.log(
          MESSAGES.policyNotAttachedNotice.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
        );
      }
    }
  }

  async subscribeQueuesToTopic() {
    for (const [index, queue] of this.queues.entries()) {
      /**
       * @type {import('@aws-sdk/client-sns').SubscribeCommandInput}
       */
      const subscribeParams = {
        TopicArn: this.topicArn,
        Protocol: "sqs",
        Endpoint: queue.queueArn,
      };
      let tones = [];

      if (this.isFifo) {
        if (index === 0) {
          await this.logger.log(MESSAGES.fifoFilterNotice);
        }
        tones = await this.prompter.checkbox({
          message: MESSAGES.fifoFilterSelect.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
          choices: toneChoices,
        });

        if (tones.length) {
          subscribeParams.Attributes = {
            FilterPolicyScope: "MessageAttributes",
            FilterPolicy: JSON.stringify({
              tone: tones,
            }),
          };
        }
      }

      const { SubscriptionArn } = await this.snsClient.send(
        new SubscribeCommand(subscribeParams),
      );

      this.subscriptionArns.push(SubscriptionArn);

      await this.logger.log(
        MESSAGES.queueSubscribedNotice
          .replace("${QUEUE_NAME}", queue.queueName)
          .replace("${TOPIC_NAME}", this.topicName)
          .replace("${TONES}", tones.length ? tones.join(", ") : "none"),
      );
    }
  }

  async publishMessages() {
    const message = await this.prompter.input({
      message: MESSAGES.publishMessagePrompt,
    });

    let groupId;
    let deduplicationId;
    let choices;

    if (this.isFifo) {
      await this.logger.log(MESSAGES.groupIdNotice);
      groupId = await this.prompter.input({
        message: MESSAGES.groupIdPrompt,
      });

      if (this.autoDedup === false) {
        await this.logger.log(MESSAGES.deduplicationIdNotice);
        deduplicationId = await this.prompter.input({
          message: MESSAGES.deduplicationIdPrompt,
        });
      }

      choices = await this.prompter.checkbox({
        message: MESSAGES.messageAttributesPrompt,
        choices: toneChoices,
      });
    }

    await this.snsClient.send(
      new PublishCommand({
        TopicArn: this.topicArn,
        Message: message,
        ...(groupId
          ? {
              MessageGroupId: groupId,
            }
          : {}),
        ...(deduplicationId
          ? {
              MessageDeduplicationId: deduplicationId,
            }
          : {}),
        ...(choices
          ? {
              MessageAttributes: {
                tone: {
                  DataType: "String.Array",
                  StringValue: JSON.stringify(choices),
                },
              },
            }
          : {}),
      }),
    );

    const publishAnother = await this.prompter.confirm({
      message: MESSAGES.publishAnother,
    });

    if (publishAnother) {
      await this.publishMessages();
    }
  }

  async receiveAndDeleteMessages() {
    for (const queue of this.queues) {
      const { Messages } = await this.sqsClient.send(
        new ReceiveMessageCommand({
          QueueUrl: queue.queueUrl,
        }),
      );

      if (Messages) {
        await this.logger.log(
          MESSAGES.messagesReceivedNotice.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
        );
        console.log(Messages);

        await this.sqsClient.send(
          new DeleteMessageBatchCommand({
            QueueUrl: queue.queueUrl,
            Entries: Messages.map((message) => ({
              Id: message.MessageId,
              ReceiptHandle: message.ReceiptHandle,
            })),
          }),
        );
      } else {
        await this.logger.log(
          MESSAGES.noMessagesReceivedNotice.replace(
            "${QUEUE_NAME}",
            queue.queueName,
          ),
        );
      }
    }

    const deleteAndPoll = await this.prompter.confirm({
      message: MESSAGES.deleteAndPollConfirmation,
    });

    if (deleteAndPoll) {
      await this.receiveAndDeleteMessages();
    }
  }

  async destroyResources() {
    for (const subscriptionArn of this.subscriptionArns) {
      await this.snsClient.send(
        new UnsubscribeCommand({ SubscriptionArn: subscriptionArn }),
      );
    }

    for (const queue of this.queues) {
      await this.sqsClient.send(
        new DeleteQueueCommand({ QueueUrl: queue.queueUrl }),
      );
    }

    if (this.topicArn) {
      await this.snsClient.send(
        new DeleteTopicCommand({ TopicArn: this.topicArn }),
      );
    }
  }

  async start() {
    console.clear();

    try {
      this.logger.logSeparator(MESSAGES.headerWelcome);
      await this.welcome();
      this.logger.logSeparator(MESSAGES.headerFifo);
      await this.confirmFifo();
      this.logger.logSeparator(MESSAGES.headerCreateTopic);
      await this.createTopic();
      this.logger.logSeparator(MESSAGES.headerCreateQueues);
      await this.createQueues();
      this.logger.logSeparator(MESSAGES.headerAttachPolicy);
      await this.attachQueueIamPolicies();
      this.logger.logSeparator(MESSAGES.headerSubscribeQueues);
      await this.subscribeQueuesToTopic();
      this.logger.logSeparator(MESSAGES.headerPublishMessage);
      await this.publishMessages();
      this.logger.logSeparator(MESSAGES.headerReceiveMessages);
      await this.receiveAndDeleteMessages();
    } catch (err) {
      console.error(err);
    } finally {
      await this.destroyResources();
    }
  }
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [CreateQueue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/CreateQueueCommand)
  + [CreateTopic](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/CreateTopicCommand)
  + [DeleteMessageBatch](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteMessageBatchCommand)
  + [DeleteQueue](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/DeleteQueueCommand)
  + [DeleteTopic](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/DeleteTopicCommand)
  + [GetQueueAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/GetQueueAttributesCommand)
  + [發布](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/PublishCommand)
  + [ReceiveMessage](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/ReceiveMessageCommand)
  + [SetQueueAttributes](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sqs/command/SetQueueAttributesCommand)
  + [Subscribe](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/SubscribeCommand)
  + [Unsubscribe](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sns/command/UnsubscribeCommand)

## 無伺服器範例
<a name="serverless_examples"></a>

### 使用 Amazon SQS 觸發條件調用 Lambda 函數
<a name="serverless_SQS_Lambda_javascript_3_topic"></a>

下列程式碼範例示範如何實作 Lambda 函式，該函式會透過接收 SQS 佇列的訊息來接收所觸發的事件。函數會從事件參數擷取訊息，並記錄每一則訊息的內容。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/blob/main/integration-sqs-to-lambda)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 來使用 SQS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
exports.handler = async (event, context) => {
  for (const message of event.Records) {
    await processMessageAsync(message);
  }
  console.info("done");
};

async function processMessageAsync(message) {
  try {
    console.log(`Processed message ${message.body}`);
    // TODO: Do interesting work based on the new message
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```
使用 TypeScript 搭配 Lambda 來使用 SQS 事件。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { SQSEvent, Context, SQSHandler, SQSRecord } from "aws-lambda";

export const functionHandler: SQSHandler = async (
  event: SQSEvent,
  context: Context
): Promise<void> => {
  for (const message of event.Records) {
    await processMessageAsync(message);
  }
  console.info("done");
};

async function processMessageAsync(message: SQSRecord): Promise<any> {
  try {
    console.log(`Processed message ${message.body}`);
    // TODO: Do interesting work based on the new message
    await Promise.resolve(1); //Placeholder for actual async work
  } catch (err) {
    console.error("An error occurred");
    throw err;
  }
}
```

### 使用 Amazon SQS 觸發條件報告 Lambda 函數的批次項目失敗
<a name="serverless_SQS_Lambda_batch_item_failures_javascript_3_topic"></a>

下列程式碼範例示範如何為接收從 SQS 佇列接收事件的 Lambda 函式，實作部分批次回應。此函數會在回應中報告批次項目失敗，指示 Lambda 稍後重試這些訊息。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在[無伺服器範例](https://github.com/aws-samples/serverless-snippets/tree/main/lambda-function-sqs-report-batch-item-failures)儲存庫中設定和執行。
使用 JavaScript 搭配 Lambda 報告 SQS 批次項目失敗。  

```
// Node.js 20.x Lambda runtime, AWS SDK for Javascript V3
export const handler = async (event, context) => {
    const batchItemFailures = [];
    for (const record of event.Records) {
        try {
            await processMessageAsync(record, context);
        } catch (error) {
            batchItemFailures.push({ itemIdentifier: record.messageId });
        }
    }
    return { batchItemFailures };
};

async function processMessageAsync(record, context) {
    if (record.body && record.body.includes("error")) {
        throw new Error("There is an error in the SQS Message.");
    }
    console.log(`Processed message: ${record.body}`);
}
```
使用 TypeScript 搭配 Lambda 報告 SQS 批次項目失敗。  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import { SQSEvent, SQSBatchResponse, Context, SQSBatchItemFailure, SQSRecord } from 'aws-lambda';

export const handler = async (event: SQSEvent, context: Context): Promise<SQSBatchResponse> => {
    const batchItemFailures: SQSBatchItemFailure[] = [];

    for (const record of event.Records) {
        try {
            await processMessageAsync(record);
        } catch (error) {
            batchItemFailures.push({ itemIdentifier: record.messageId });
        }
    }

    return {batchItemFailures: batchItemFailures};
};

async function processMessageAsync(record: SQSRecord): Promise<void> {
    if (record.body && record.body.includes("error")) {
        throw new Error('There is an error in the SQS Message.');
    }
    console.log(`Processed message ${record.body}`);
}
```

# 使用適用於 JavaScript 的 SDK (v3) 的 Step Functions 範例
<a name="javascript_3_sfn_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Step Functions 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `StartExecution`
<a name="sfn_StartExecution_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartExecution`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sfn#code-examples)中設定和執行。

```
import { SFNClient, StartExecutionCommand } from "@aws-sdk/client-sfn";

/**
 * @param {{ sfnClient: SFNClient, stateMachineArn: string }} config
 */
export async function startExecution({ sfnClient, stateMachineArn }) {
  const response = await sfnClient.send(
    new StartExecutionCommand({
      stateMachineArn,
    }),
  );
  console.log(response);
  // Example response:
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '202a9309-c16a-454b-adeb-c4d19afe3bf2',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   executionArn: 'arn:aws:states:us-east-1:000000000000:execution:MyStateMachine:aaaaaaaa-f787-49fb-a20c-1b61c64eafe6',
  //   startDate: 2024-01-04T15:54:08.362Z
  // }
  return response;
}

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  startExecution({ sfnClient: new SFNClient({}), stateMachineArn: "ARN" });
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartExecution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sfn/command/StartExecutionCommand)。

# AWS STS 使用適用於 JavaScript 的 SDK (v3) 的範例
<a name="javascript_3_sts_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 來執行動作和實作常見案例 AWS STS。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)

## 動作
<a name="actions"></a>

### `AssumeRole`
<a name="sts_AssumeRole_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AssumeRole`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sts#code-examples)中設定和執行。
建立用戶端。  

```
import { STSClient } from "@aws-sdk/client-sts";
// Set the AWS Region.
const REGION = "us-east-1";
// Create an AWS STS service client object.
export const client = new STSClient({ region: REGION });
```
擔任 IAM 角色。  

```
import { AssumeRoleCommand } from "@aws-sdk/client-sts";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Returns a set of temporary security credentials that you can use to
    // access Amazon Web Services resources that you might not normally
    // have access to.
    const command = new AssumeRoleCommand({
      // The Amazon Resource Name (ARN) of the role to assume.
      RoleArn: "ROLE_ARN",
      // An identifier for the assumed role session.
      RoleSessionName: "session1",
      // The duration, in seconds, of the role session. The value specified
      // can range from 900 seconds (15 minutes) up to the maximum session
      // duration set for the role.
      DurationSeconds: 900,
    });
    const response = await client.send(command);
    console.log(response);
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* 中的 [AssumeRole](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sts/command/AssumeRoleCommand)。

# 支援 使用適用於 JavaScript 的 SDK (v3) 的範例
<a name="javascript_3_support_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 來執行動作和實作常見案例 支援。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### 您好 支援
<a name="support_Hello_javascript_3_topic"></a>

下列程式碼範例示範如何開始使用 支援。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。
呼叫 `main()` 來執行這個範例。  

```
import {
  DescribeServicesCommand,
  SupportClient,
} from "@aws-sdk/client-support";

// Change the value of 'region' to your preferred AWS Region.
const client = new SupportClient({ region: "us-east-1" });

const getServiceCount = async () => {
  try {
    const { services } = await client.send(new DescribeServicesCommand({}));
    return services.length;
  } catch (err) {
    if (err.name === "SubscriptionRequiredException") {
      throw new Error(
        "You must be subscribed to the AWS Support plan to use this feature.",
      );
    }
    throw err;
  }
};

export const main = async () => {
  try {
    const count = await getServiceCount();
    console.log(`Hello, AWS Support! There are ${count} services available.`);
  } catch (err) {
    console.error("Failed to get service count: ", err.message);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeServices](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeServicesCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="support_Scenario_GetStartedSupportCases_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 取得並顯示案例可用的服務和嚴重性層級。
+ 根據選取的服務、類別和嚴重性層級建立支援案例。
+ 取得並顯示當天開啟的案例清單。
+ 將附件集和通訊新增至新案例。
+ 描述案例的新附件和通訊。
+ 解決案例。
+ 取得並顯示當天已解決的案例清單。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。
在終端中執行互動式案例。  

```
import {
  AddAttachmentsToSetCommand,
  AddCommunicationToCaseCommand,
  CreateCaseCommand,
  DescribeAttachmentCommand,
  DescribeCasesCommand,
  DescribeCommunicationsCommand,
  DescribeServicesCommand,
  DescribeSeverityLevelsCommand,
  ResolveCaseCommand,
  SupportClient,
} from "@aws-sdk/client-support";
import * as inquirer from "@inquirer/prompts";
import { retry } from "@aws-doc-sdk-examples/lib/utils/util-timers.js";

const wrapText = (text, char = "=") => {
  const rule = char.repeat(80);
  return `${rule}\n    ${text}\n${rule}\n`;
};

const client = new SupportClient({ region: "us-east-1" });

// Verify that the account has a Support plan.
export const verifyAccount = async () => {
  const command = new DescribeServicesCommand({});

  try {
    await client.send(command);
  } catch (err) {
    if (err.name === "SubscriptionRequiredException") {
      throw new Error(
        "You must be subscribed to the AWS Support plan to use this feature.",
      );
    }
    throw err;
  }
};

/**
 * Select a service from the list returned from DescribeServices.
 */
export const getService = async () => {
  const { services } = await client.send(new DescribeServicesCommand({}));
  const selectedService = await inquirer.select({
    message:
      "Select a service. Your support case will be created for this service. The list of services is truncated for readability.",
    choices: services.slice(0, 10).map((s) => ({ name: s.name, value: s })),
  });
  return selectedService;
};

/**
 * @param {{ categories: import('@aws-sdk/client-support').Category[]}} service
 */
export const getCategory = async (service) => {
  const selectedCategory = await inquirer.select({
    message: "Select a category.",
    choices: service.categories.map((c) => ({ name: c.name, value: c })),
  });
  return selectedCategory;
};

// Get the available severity levels for the account.
export const getSeverityLevel = async () => {
  const command = new DescribeSeverityLevelsCommand({});
  const { severityLevels } = await client.send(command);
  const selectedSeverityLevel = await inquirer.select({
    message: "Select a severity level.",
    choices: severityLevels.map((s) => ({ name: s.name, value: s })),
  });
  return selectedSeverityLevel;
};

/**
 * Create a new support case
 * @param {{
 *  selectedService: import('@aws-sdk/client-support').Service
 *  selectedCategory: import('@aws-sdk/client-support').Category
 *  selectedSeverityLevel: import('@aws-sdk/client-support').SeverityLevel
 * }} selections
 * @returns
 */
export const createCase = async ({
  selectedService,
  selectedCategory,
  selectedSeverityLevel,
}) => {
  const command = new CreateCaseCommand({
    subject: "IGNORE: Test case",
    communicationBody: "This is a test. Please ignore.",
    serviceCode: selectedService.code,
    categoryCode: selectedCategory.code,
    severityCode: selectedSeverityLevel.code,
  });
  const { caseId } = await client.send(command);
  return caseId;
};

// Get a list of open support cases created today.
export const getTodaysOpenCases = async () => {
  const d = new Date();
  const startOfToday = new Date(d.getFullYear(), d.getMonth(), d.getDate());
  const command = new DescribeCasesCommand({
    includeCommunications: false,
    afterTime: startOfToday.toISOString(),
  });

  const { cases } = await client.send(command);

  if (cases.length === 0) {
    throw new Error(
      "Unexpected number of cases. Expected more than 0 open cases.",
    );
  }
  return cases;
};

// Create an attachment set.
export const createAttachmentSet = async () => {
  const command = new AddAttachmentsToSetCommand({
    attachments: [
      {
        fileName: "example.txt",
        data: new TextEncoder().encode("some example text"),
      },
    ],
  });
  const { attachmentSetId } = await client.send(command);
  return attachmentSetId;
};

export const linkAttachmentSetToCase = async (attachmentSetId, caseId) => {
  const command = new AddCommunicationToCaseCommand({
    attachmentSetId,
    caseId,
    communicationBody: "Adding attachment set to case.",
  });
  await client.send(command);
};

// Get all communications for a support case.
export const getCommunications = async (caseId) => {
  const command = new DescribeCommunicationsCommand({
    caseId,
  });
  const { communications } = await client.send(command);
  return communications;
};

/**
 * @param {import('@aws-sdk/client-support').Communication[]} communications
 */
export const getFirstAttachment = (communications) => {
  const firstCommWithAttachment = communications.find(
    (c) => c.attachmentSet.length > 0,
  );
  return firstCommWithAttachment?.attachmentSet[0].attachmentId;
};

// Get an attachment.
export const getAttachment = async (attachmentId) => {
  const command = new DescribeAttachmentCommand({
    attachmentId,
  });
  const { attachment } = await client.send(command);
  return attachment;
};

// Resolve the case matching the given case ID.
export const resolveCase = async (caseId) => {
  const shouldResolve = await inquirer.confirm({
    message: `Do you want to resolve ${caseId}?`,
  });

  if (shouldResolve) {
    const command = new ResolveCaseCommand({
      caseId: caseId,
    });

    await client.send(command);
    return true;
  }
  return false;
};

/**
 * Find a specific case in the list of provided cases by case ID.
 * If the case is not found, and the results are paginated, continue
 * paging through the results.
 * @param {{
 *   caseId: string,
 *   cases: import('@aws-sdk/client-support').CaseDetails[]
 *   nextToken: string
 * }} options
 * @returns
 */
export const findCase = async ({ caseId, cases, nextToken }) => {
  const foundCase = cases.find((c) => c.caseId === caseId);

  if (foundCase) {
    return foundCase;
  }

  if (nextToken) {
    const response = await client.send(
      new DescribeCasesCommand({
        nextToken,
        includeResolvedCases: true,
      }),
    );
    return findCase({
      caseId,
      cases: response.cases,
      nextToken: response.nextToken,
    });
  }

  throw new Error(`${caseId} not found.`);
};

// Get all cases created today.
export const getTodaysResolvedCases = async (caseIdToWaitFor) => {
  const d = new Date("2023-01-18");
  const startOfToday = new Date(d.getFullYear(), d.getMonth(), d.getDate());
  const command = new DescribeCasesCommand({
    includeCommunications: false,
    afterTime: startOfToday.toISOString(),
    includeResolvedCases: true,
  });
  const { cases, nextToken } = await client.send(command);
  await findCase({ cases, caseId: caseIdToWaitFor, nextToken });
  return cases.filter((c) => c.status === "resolved");
};

const main = async () => {
  let caseId;
  try {
    console.log(wrapText("Welcome to the AWS Support basic usage scenario."));

    // Verify that the account is subscribed to support.
    await verifyAccount();

    // Provided a truncated list of services and prompt the user to select one.
    const selectedService = await getService();

    // Provided the categories for the selected service and prompt the user to select one.
    const selectedCategory = await getCategory(selectedService);

    // Provide the severity available severity levels for the account and prompt the user to select one.
    const selectedSeverityLevel = await getSeverityLevel();

    // Create a support case.
    console.log("\nCreating a support case.");
    caseId = await createCase({
      selectedService,
      selectedCategory,
      selectedSeverityLevel,
    });
    console.log(`Support case created: ${caseId}`);

    // Display a list of open support cases created today.
    const todaysOpenCases = await retry(
      { intervalInMs: 1000, maxRetries: 15 },
      getTodaysOpenCases,
    );
    console.log(
      `\nOpen support cases created today: ${todaysOpenCases.length}`,
    );
    console.log(todaysOpenCases.map((c) => `${c.caseId}`).join("\n"));

    // Create an attachment set.
    console.log("\nCreating an attachment set.");
    const attachmentSetId = await createAttachmentSet();
    console.log(`Attachment set created: ${attachmentSetId}`);

    // Add the attachment set to the support case.
    console.log(`\nAdding attachment set to ${caseId}`);
    await linkAttachmentSetToCase(attachmentSetId, caseId);
    console.log(`Attachment set added to ${caseId}`);

    // List the communications for a support case.
    console.log(`\nListing communications for ${caseId}`);
    const communications = await getCommunications(caseId);
    console.log(
      communications
        .map(
          (c) =>
            `Communication created on ${c.timeCreated}. Has ${c.attachmentSet.length} attachments.`,
        )
        .join("\n"),
    );

    // Describe the first attachment.
    console.log(`\nDescribing attachment ${attachmentSetId}`);
    const attachmentId = getFirstAttachment(communications);
    const attachment = await getAttachment(attachmentId);
    console.log(
      `Attachment is the file '${
        attachment.fileName
      }' with data: \n${new TextDecoder().decode(attachment.data)}`,
    );

    // Confirm that the support case should be resolved.
    const isResolved = await resolveCase(caseId);
    if (isResolved) {
      // List the resolved cases and include the one previously created.
      // Resolved cases can take a while to appear.
      console.log(
        "\nWaiting for case status to be marked as resolved. This can take some time.",
      );
      const resolvedCases = await retry(
        { intervalInMs: 20000, maxRetries: 15 },
        () => getTodaysResolvedCases(caseId),
      );
      console.log("Resolved cases:");
      console.log(resolvedCases.map((c) => c.caseId).join("\n"));
    }
  } catch (err) {
    console.error(err);
  }
};
```
+ 如需 API 詳細資訊，請參閱 *適用於 JavaScript 的 AWS SDK API Reference* (《 API 參考》) 中的下列主題。
  + [AddAttachmentsToSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/AddAttachmentsToSetCommand)
  + [AddCommunicationToCase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/AddCommunicationToCaseCommand)
  + [CreateCase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/CreateCaseCommand)
  + [DescribeAttachment](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeAttachmentCommand)
  + [DescribeCases](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeCasesCommand)
  + [DescribeCommunications](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeCommunicationsCommand)
  + [DescribeServices](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeServicesCommand)
  + [DescribeSeverityLevels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeSeverityLevelsCommand)
  + [ResolveCase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/ResolveCaseCommand)

## 動作
<a name="actions"></a>

### `AddAttachmentsToSet`
<a name="support_AddAttachmentsToSet_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AddAttachmentsToSet`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { AddAttachmentsToSetCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Create a new attachment set or add attachments to an existing set.
    // Provide an 'attachmentSetId' value to add attachments to an existing set.
    // Use AddCommunicationToCase or CreateCase to associate an attachment set with a support case.
    const response = await client.send(
      new AddAttachmentsToSetCommand({
        // You can add up to three attachments per set. The size limit is 5 MB per attachment.
        attachments: [
          {
            fileName: "example.txt",
            data: new TextEncoder().encode("some example text"),
          },
        ],
      }),
    );
    // Use this ID in AddCommunicationToCase or CreateCase.
    console.log(response.attachmentSetId);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [AddAttachmentsToSet](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/AddAttachmentsToSetCommand)。

### `AddCommunicationToCase`
<a name="support_AddCommunicationToCase_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `AddCommunicationToCase`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { AddCommunicationToCaseCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  let attachmentSetId;

  try {
    // Add a communication to a case.
    const response = await client.send(
      new AddCommunicationToCaseCommand({
        communicationBody: "Adding an attachment.",
        // Set value to an existing support case id.
        caseId: "CASE_ID",
        // Optional. Set value to an existing attachment set id to add attachments to the case.
        attachmentSetId,
      }),
    );
    console.log(response);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [AddCommunicationToCase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/AddCommunicationToCaseCommand)。

### `CreateCase`
<a name="support_CreateCase_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateCase`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { CreateCaseCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Create a new case and log the case id.
    // Important: This creates a real support case in your account.
    const response = await client.send(
      new CreateCaseCommand({
        // The subject line of the case.
        subject: "IGNORE: Test case",
        // Use DescribeServices to find available service codes for each service.
        serviceCode: "service-quicksight-end-user",
        // Use DescribeSecurityLevels to find available severity codes for your support plan.
        severityCode: "low",
        // Use DescribeServices to find available category codes for each service.
        categoryCode: "end-user-support",
        // The main description of the support case.
        communicationBody: "This is a test. Please ignore.",
      }),
    );
    console.log(response.caseId);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [CreateCase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/CreateCaseCommand)。

### `DescribeAttachment`
<a name="support_DescribeAttachment_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeAttachment`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { DescribeAttachmentCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Get the metadata and content of an attachment.
    const response = await client.send(
      new DescribeAttachmentCommand({
        // Set value to an existing attachment id.
        // Use DescribeCommunications or DescribeCases to find an attachment id.
        attachmentId: "ATTACHMENT_ID",
      }),
    );
    console.log(response.attachment?.fileName);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeAttachment](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeAttachmentCommand)。

### `DescribeCases`
<a name="support_DescribeCases_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeCases`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { DescribeCasesCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Get all of the unresolved cases in your account.
    // Filter or expand results by providing parameters to the DescribeCasesCommand. Refer
    // to the TypeScript definition and the API doc for more information on possible parameters.
    // https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-support/interfaces/describecasescommandinput.html
    const response = await client.send(new DescribeCasesCommand({}));
    const caseIds = response.cases.map((supportCase) => supportCase.caseId);
    console.log(caseIds);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeCases](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeCasesCommand)。

### `DescribeCommunications`
<a name="support_DescribeCommunications_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeCommunications`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { DescribeCommunicationsCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Get all communications for the support case.
    // Filter results by providing parameters to the DescribeCommunicationsCommand. Refer
    // to the TypeScript definition and the API doc for more information on possible parameters.
    // https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-support/interfaces/describecommunicationscommandinput.html
    const response = await client.send(
      new DescribeCommunicationsCommand({
        // Set value to an existing case id.
        caseId: "CASE_ID",
      }),
    );
    const text = response.communications.map((item) => item.body).join("\n");
    console.log(text);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeCommunications](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeCommunicationsCommand)。

### `DescribeSeverityLevels`
<a name="support_DescribeSeverityLevels_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeSeverityLevels`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { DescribeSeverityLevelsCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

export const main = async () => {
  try {
    // Get the list of severity levels.
    // The available values depend on the support plan for the account.
    const response = await client.send(new DescribeSeverityLevelsCommand({}));
    console.log(response.severityLevels);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [DescribeSeverityLevels](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/DescribeSeverityLevelsCommand)。

### `ResolveCase`
<a name="support_ResolveCase_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ResolveCase`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/support#code-examples)中設定和執行。

```
import { ResolveCaseCommand } from "@aws-sdk/client-support";

import { client } from "../libs/client.js";

const main = async () => {
  try {
    const response = await client.send(
      new ResolveCaseCommand({
        caseId: "CASE_ID",
      }),
    );

    console.log(response.finalCaseStatus);
    return response;
  } catch (err) {
    console.error(err);
  }
};
```
+  如需 API 詳細資訊，請參閱*《適用於 JavaScript 的 AWS SDK API 參考》*中的 [ResolveCase](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/support/command/ResolveCaseCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Systems Manager 範例
<a name="javascript_3_ssm_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Systems Manager 來執行動作和實作常見案例。

*基本概念*是程式碼範例，這些範例說明如何在服務內執行基本操作。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [開始使用](#get_started)
+ [基本概念](#basics)
+ [動作](#actions)

## 開始使用
<a name="get_started"></a>

### 嗨，Systems Manager
<a name="ssm_Hello_javascript_3_topic"></a>

下列程式碼範例說明如何開始使用 Systems Manager。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { paginateListDocuments, SSMClient } from "@aws-sdk/client-ssm";

// Call ListDocuments and display the result.
export const main = async () => {
  const client = new SSMClient();
  const listDocumentsPaginated = [];
  console.log(
    "Hello, AWS Systems Manager! Let's list some of your documents:\n",
  );
  try {
    // The paginate function is a wrapper around the base command.
    const paginator = paginateListDocuments({ client }, { MaxResults: 5 });
    for await (const page of paginator) {
      listDocumentsPaginated.push(...page.DocumentIdentifiers);
    }
  } catch (caught) {
    console.error(`There was a problem saying hello: ${caught.message}`);
    throw caught;
  }

  for (const { Name, DocumentFormat, CreatedDate } of listDocumentsPaginated) {
    console.log(`${Name} - ${DocumentFormat} - ${CreatedDate}`);
  }
};

// Call function if run directly.
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  main();
}
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListDocuments](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/ListDocumentsCommand)。

## 基本概念
<a name="basics"></a>

### 了解基本概念
<a name="ssm_Scenario_javascript_3_topic"></a>

以下程式碼範例顯示做法：
+ 建立維護時段。
+ 修改維護時段排程。
+ 建立文件。
+ 將命令傳送至指定的 EC2 執行個體。
+ 建立 OpsItem。
+ 更新與解析 OpsItem。
+ 刪除維護時段、OpsItem 與文件。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import {
  Scenario,
  ScenarioAction,
  ScenarioInput,
  ScenarioOutput,
} from "@aws-doc-sdk-examples/lib/scenario/index.js";
import { fileURLToPath } from "node:url";
import {
  CreateDocumentCommand,
  CreateMaintenanceWindowCommand,
  CreateOpsItemCommand,
  DeleteDocumentCommand,
  DeleteMaintenanceWindowCommand,
  DeleteOpsItemCommand,
  DescribeOpsItemsCommand,
  DocumentAlreadyExists,
  OpsItemStatus,
  waitUntilCommandExecuted,
  CancelCommandCommand,
  paginateListCommandInvocations,
  SendCommandCommand,
  UpdateMaintenanceWindowCommand,
  UpdateOpsItemCommand,
  SSMClient,
} from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * @typedef {{
 *   ssmClient: import('@aws-sdk/client-ssm').SSMClient,
 *   documentName?: string
 *   maintenanceWindow?: string
 *   winId?: int
 *   ec2InstanceId?: string
 *   requestedDateTime?: Date
 *   opsItemId?: string
 *   askToDeleteResources?: boolean
 * }} State
 */

const defaultMaintenanceWindow = "ssm-maintenance-window";
const defaultDocumentName = "ssmdocument";
// The timeout duration is highly dependent on the specific setup and environment necessary. This example handles only the most common error cases, and uses a much shorter duration than most productions systems would use.
const COMMAND_TIMEOUT_DURATION_SECONDS = 30; // 30 seconds

const pressEnter = new ScenarioInput("continue", "Press Enter to continue", {
  type: "confirm",
});

const greet = new ScenarioOutput(
  "greet",
  `Welcome to the AWS Systems Manager SDK Getting Started scenario.
    This program demonstrates how to interact with Systems Manager using the AWS SDK for JavaScript V3.
    Systems Manager is the operations hub for your AWS applications and resources and a secure end-to-end management solution.
    The program's primary functions include creating a maintenance window, creating a document, sending a command to a document,
    listing documents, listing commands, creating an OpsItem, modifying an OpsItem, and deleting Systems Manager resources.
    Upon completion of the program, all AWS resources are cleaned up.
    Let's get started...`,
  { header: true },
);

const createMaintenanceWindow = new ScenarioOutput(
  "createMaintenanceWindow",
  "Step 1: Create a Systems Manager maintenance window.",
);

const getMaintenanceWindow = new ScenarioInput(
  "maintenanceWindow",
  "Please enter the maintenance window name:",
  { type: "input", default: defaultMaintenanceWindow },
);

export const sdkCreateMaintenanceWindow = new ScenarioAction(
  "sdkCreateMaintenanceWindow",
  async (/** @type {State} */ state) => {
    try {
      const response = await state.ssmClient.send(
        new CreateMaintenanceWindowCommand({
          Name: state.maintenanceWindow,
          Schedule: "cron(0 10 ? * MON-FRI *)", //The schedule of the maintenance window in the form of a cron or rate expression.
          Duration: 2, //The duration of the maintenance window in hours.
          Cutoff: 1, //The number of hours before the end of the maintenance window that Amazon Web Services Systems Manager stops scheduling new tasks for execution.
          AllowUnassociatedTargets: true, //Allow the maintenance window to run on managed nodes, even if you haven't registered those nodes as targets.
        }),
      );
      state.winId = response.WindowId;
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while creating the maintenance window. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
);

const modifyMaintenanceWindow = new ScenarioOutput(
  "modifyMaintenanceWindow",
  "Modify the maintenance window by changing the schedule.",
);

const sdkModifyMaintenanceWindow = new ScenarioAction(
  "sdkModifyMaintenanceWindow",
  async (/** @type {State} */ state) => {
    try {
      await state.ssmClient.send(
        new UpdateMaintenanceWindowCommand({
          WindowId: state.winId,
          Schedule: "cron(0 0 ? * MON *)",
        }),
      );
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while modifying the maintenance window. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
);

const createSystemsManagerActions = new ScenarioOutput(
  "createSystemsManagerActions",
  "Create a document that defines the actions that Systems Manager performs on your EC2 instance.",
);

const getDocumentName = new ScenarioInput(
  "documentName",
  "Please enter the document: ",
  { type: "input", default: defaultDocumentName },
);

const sdkCreateSSMDoc = new ScenarioAction(
  "sdkCreateSSMDoc",
  async (/** @type {State} */ state) => {
    const contentData = `{
                "schemaVersion": "2.2",
                "description": "Run a simple shell command",
                "mainSteps": [
                    {
                        "action": "aws:runShellScript",
                        "name": "runEchoCommand",
                        "inputs": {
                          "runCommand": [
                            "echo 'Hello, world!'"
                          ]
                        }
                    }
                ]
            }`;
    try {
      await state.ssmClient.send(
        new CreateDocumentCommand({
          Content: contentData,
          Name: state.documentName,
          DocumentType: "Command",
        }),
      );
    } catch (caught) {
      console.log(`Exception type: (${typeof caught})`);
      if (caught instanceof DocumentAlreadyExists) {
        console.log("Document already exists. Continuing...\n");
      } else {
        console.error(caught.message);
        console.log(
          `An error occurred while creating the document. Please fix the error and try again. Error message: ${caught.message}`,
        );
        throw caught;
      }
    }
  },
);

const ec2HelloWorld = new ScenarioOutput(
  "ec2HelloWorld",
  `Now you have the option of running a command on an EC2 instance that echoes 'Hello, world!'. In order to run this command, you must provide the instance ID of a Linux EC2 instance. If you do not already have a running Linux EC2 instance in your account, you can create one using the AWS console. For information about creating an EC2 instance, see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-launch-instance-wizard.html.`,
);

const enterIdOrSkipEC2HelloWorld = new ScenarioInput(
  "enterIdOrSkipEC2HelloWorld",
  "Enter your EC2 InstanceId or press enter to skip this step: ",
  { type: "input", default: "" },
);

const sdkEC2HelloWorld = new ScenarioAction(
  "sdkEC2HelloWorld",
  async (/** @type {State} */ state) => {
    try {
      const response = await state.ssmClient.send(
        new SendCommandCommand({
          DocumentName: state.documentName,
          InstanceIds: [state.ec2InstanceId],
          TimeoutSeconds: COMMAND_TIMEOUT_DURATION_SECONDS,
        }),
      );
      state.CommandId = response.Command.CommandId;
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while sending the command. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
  {
    skipWhen: (/** @type {State} */ state) =>
      state.enterIdOrSkipEC2HelloWorld === "",
  },
);

const sdkGetCommandTime = new ScenarioAction(
  "sdkGetCommandTime",
  async (/** @type {State} */ state) => {
    const listInvocationsPaginated = [];
    console.log(
      "Let's get the time when the specific command was sent to the specific managed node.",
    );

    console.log(
      `First, we'll wait for the command to finish executing. This may take up to ${COMMAND_TIMEOUT_DURATION_SECONDS} seconds.`,
    );
    const commandExecutedResult = waitUntilCommandExecuted(
      { client: state.ssmClient },
      {
        CommandId: state.CommandId,
        InstanceId: state.ec2InstanceId,
      },
    );
    // This is necessary because the TimeoutSeconds of SendCommandCommand is only for the delivery, not execution.
    try {
      await new Promise((_, reject) =>
        setTimeout(
          reject,
          COMMAND_TIMEOUT_DURATION_SECONDS * 1000,
          new Error("Command Timed Out"),
        ),
      );
    } catch (caught) {
      if (caught.message === "Command Timed Out") {
        commandExecutedResult.state = "TIMED_OUT";
      } else {
        throw caught;
      }
    }

    if (commandExecutedResult.state !== "SUCCESS") {
      console.log(
        `The command with id: ${state.CommandId} did not execute in the allotted time. Canceling command.`,
      );
      state.ssmClient.send(
        new CancelCommandCommand({
          CommandId: state.CommandId,
        }),
      );
      state.enterIdOrSkipEC2HelloWorld === "";
      return;
    }

    for await (const page of paginateListCommandInvocations(
      { client: state.ssmClient },
      { CommandId: state.CommandId },
    )) {
      listInvocationsPaginated.push(...page.CommandInvocations);
    }
    /**
     * @type {import('@aws-sdk/client-ssm').CommandInvocation}
     */
    const commandInvocation = listInvocationsPaginated.shift(); // Because the call was made with CommandId, there's only one result, so shift it off.
    state.requestedDateTime = commandInvocation.RequestedDateTime;

    console.log(
      `The command invocation happened at: ${state.requestedDateTime}.`,
    );
  },
  {
    skipWhen: (/** @type {State} */ state) =>
      state.enterIdOrSkipEC2HelloWorld === "",
  },
);

const createSSMOpsItem = new ScenarioOutput(
  "createSSMOpsItem",
  `Now we will create a Systems Manager OpsItem. An OpsItem is a feature provided by the Systems Manager service. It is a type of operational data item that allows you to manage and track various operational issues, events, or tasks within your AWS environment.
You can create OpsItems to track and manage operational issues as they arise. For example, you could create an OpsItem whenever your application detects a critical error or an anomaly in your infrastructure.`,
);

const sdkCreateSSMOpsItem = new ScenarioAction(
  "sdkCreateSSMOpsItem",
  async (/** @type {State} */ state) => {
    try {
      const response = await state.ssmClient.send(
        new CreateOpsItemCommand({
          Description: "Created by the System Manager Javascript API",
          Title: "Disk Space Alert",
          Source: "EC2",
          Category: "Performance",
          Severity: "2",
        }),
      );
      state.opsItemId = response.OpsItemId;
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while creating the ops item. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
);

const updateOpsItem = new ScenarioOutput(
  "updateOpsItem",
  (/** @type {State} */ state) =>
    `Now we will update the OpsItem: ${state.opsItemId}`,
);

const sdkUpdateOpsItem = new ScenarioAction(
  "sdkUpdateOpsItem",
  async (/** @type {State} */ state) => {
    try {
      const _response = await state.ssmClient.send(
        new UpdateOpsItemCommand({
          OpsItemId: state.opsItemId,
          Description: `An update to ${state.opsItemId}`,
        }),
      );
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while updating the ops item. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
);

const getOpsItemStatus = new ScenarioOutput(
  "getOpsItemStatus",
  (/** @type {State} */ state) =>
    `Now we will get the status of the OpsItem: ${state.opsItemId}`,
);

const sdkOpsItemStatus = new ScenarioAction(
  "sdkGetOpsItemStatus",
  async (/** @type {State} */ state) => {
    try {
      const response = await state.ssmClient.send(
        new DescribeOpsItemsCommand({
          OpsItemId: state.opsItemId,
        }),
      );
      state.opsItemStatus = response.OpsItemStatus;
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while describing the ops item. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
);

const resolveOpsItem = new ScenarioOutput(
  "resolveOpsItem",
  (/** @type {State} */ state) =>
    `Now we will resolve the OpsItem: ${state.opsItemId}`,
);

const sdkResolveOpsItem = new ScenarioAction(
  "sdkResolveOpsItem",
  async (/** @type {State} */ state) => {
    try {
      const _response = await state.ssmClient.send(
        new UpdateOpsItemCommand({
          OpsItemId: state.opsItemId,
          Status: OpsItemStatus.RESOLVED,
        }),
      );
    } catch (caught) {
      console.error(caught.message);
      console.log(
        `An error occurred while updating the ops item. Please fix the error and try again. Error message: ${caught.message}`,
      );
      throw caught;
    }
  },
);

const askToDeleteResources = new ScenarioInput(
  "askToDeleteResources",
  "Would you like to delete the Systems Manager resources created during this example run?",
  { type: "confirm" },
);

const confirmDeleteChoice = new ScenarioOutput(
  "confirmDeleteChoice",
  (/** @type {State} */ state) => {
    if (state.askToDeleteResources) {
      return "You chose to delete the resources.";
    }
    return "The Systems Manager resources will not be deleted. Please delete them manually to avoid charges.";
  },
);

export const sdkDeleteResources = new ScenarioAction(
  "sdkDeleteResources",
  async (/** @type {State} */ state) => {
    try {
      await state.ssmClient.send(
        new DeleteOpsItemCommand({
          OpsItemId: state.opsItemId,
        }),
      );
      console.log(`The ops item: ${state.opsItemId} was successfully deleted.`);
    } catch (caught) {
      console.log(
        `There was a problem deleting the ops item: ${state.opsItemId}. Please delete it manually. Error: ${caught.message}`,
      );
    }

    try {
      await state.ssmClient.send(
        new DeleteMaintenanceWindowCommand({
          Name: state.maintenanceWindow,
          WindowId: state.winId,
        }),
      );
      console.log(
        `The maintenance window: ${state.maintenanceWindow} was successfully deleted.`,
      );
    } catch (caught) {
      console.log(
        `There was a problem deleting the maintenance window: ${state.opsItemId}. Please delete it manually. Error: ${caught.message}`,
      );
    }

    try {
      await state.ssmClient.send(
        new DeleteDocumentCommand({
          Name: state.documentName,
        }),
      );
      console.log(
        `The document: ${state.documentName} was successfully deleted.`,
      );
    } catch (caught) {
      console.log(
        `There was a problem deleting the document: ${state.documentName}. Please delete it manually. Error: ${caught.message}`,
      );
    }
  },
  { skipWhen: (/** @type {{}} */ state) => !state.askToDeleteResources },
);

const goodbye = new ScenarioOutput(
  "goodbye",
  "This concludes the Systems Manager Basics scenario for the AWS Javascript SDK v3. Thank you!",
);

const myScenario = new Scenario(
  "SSM Basics",
  [
    greet,
    pressEnter,
    createMaintenanceWindow,
    getMaintenanceWindow,
    sdkCreateMaintenanceWindow,
    modifyMaintenanceWindow,
    pressEnter,
    sdkModifyMaintenanceWindow,
    createSystemsManagerActions,
    getDocumentName,
    sdkCreateSSMDoc,
    ec2HelloWorld,
    enterIdOrSkipEC2HelloWorld,
    sdkEC2HelloWorld,
    sdkGetCommandTime,
    pressEnter,
    createSSMOpsItem,
    pressEnter,
    sdkCreateSSMOpsItem,
    updateOpsItem,
    pressEnter,
    sdkUpdateOpsItem,
    getOpsItemStatus,
    pressEnter,
    sdkOpsItemStatus,
    resolveOpsItem,
    pressEnter,
    sdkResolveOpsItem,
    askToDeleteResources,
    confirmDeleteChoice,
    sdkDeleteResources,
    goodbye,
  ],
  { ssmClient: new SSMClient({}) },
);

/** @type {{ stepHandlerOptions: StepHandlerOptions }} */
export const main = async (stepHandlerOptions) => {
  await myScenario.run(stepHandlerOptions);
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const { values } = parseArgs({
    options: {
      yes: {
        type: "boolean",
        short: "y",
      },
    },
  });
  main({ confirmAll: values.yes });
}
```
+ 如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的下列主題。
  + [CreateDocument](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/CreateDocumentCommand)
  + [CreateMaintenanceWindow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/CreateMaintenanceWindowCommand)
  + [CreateOpsItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/CreateOpsItemCommand)
  + [DeleteMaintenanceWindow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/DeleteMaintenanceWindowCommand)
  + [ListCommandInvocations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/ListCommandInvocationsCommand)
  + [SendCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/SendCommandCommand)
  + [UpdateOpsItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/UpdateOpsItemCommand)

## 動作
<a name="actions"></a>

### `CreateDocument`
<a name="ssm_CreateDocument_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateDocument`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { CreateDocumentCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Create an SSM document.
 * @param {{ content: string, name: string, documentType?: DocumentType }}
 */
export const main = async ({ content, name, documentType }) => {
  const client = new SSMClient({});
  try {
    const { documentDescription } = await client.send(
      new CreateDocumentCommand({
        Content: content, // The content for the new SSM document. The content must not exceed 64KB.
        Name: name,
        DocumentType: documentType, // Document format type can be JSON, YAML, or TEXT. The default format is JSON.
      }),
    );
    console.log("Document created successfully.");
    return { DocumentDescription: documentDescription };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "DocumentAlreadyExists") {
      console.warn(`${caught.message}. Did you provide a new document name?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《*適用於 JavaScript 的 AWS SDK API 參考*》中的 [CreateDocument](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/CreateDocumentCommand)。

### `CreateMaintenanceWindow`
<a name="ssm_CreateMaintenanceWindow_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateMaintenanceWindow`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { CreateMaintenanceWindowCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Create an SSM maintenance window.
 * @param {{ name: string, allowUnassociatedTargets: boolean, duration: number, cutoff: number, schedule: string, description?: string }}
 */
export const main = async ({
  name,
  allowUnassociatedTargets, // Allow the maintenance window to run on managed nodes, even if you haven't registered those nodes as targets.
  duration, // The duration of the maintenance window in hours.
  cutoff, // The number of hours before the end of the maintenance window that Amazon Web Services Systems Manager stops scheduling new tasks for execution.
  schedule, // The schedule of the maintenance window in the form of a cron or rate expression.
  description = undefined,
}) => {
  const client = new SSMClient({});

  try {
    const { windowId } = await client.send(
      new CreateMaintenanceWindowCommand({
        Name: name,
        Description: description,
        AllowUnassociatedTargets: allowUnassociatedTargets, // Allow the maintenance window to run on managed nodes, even if you haven't registered those nodes as targets.
        Duration: duration, // The duration of the maintenance window in hours.
        Cutoff: cutoff, // The number of hours before the end of the maintenance window that Amazon Web Services Systems Manager stops scheduling new tasks for execution.
        Schedule: schedule, // The schedule of the maintenance window in the form of a cron or rate expression.
      }),
    );
    console.log(`Maintenance window created with Id: ${windowId}`);
    return { WindowId: windowId };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide these values?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateMaintenanceWindow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/CreateMaintenanceWindowCommand)。

### `CreateOpsItem`
<a name="ssm_CreateOpsItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `CreateOpsItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { CreateOpsItemCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Create an SSM OpsItem.
 * @param {{ title: string, source: string, category?: string, severity?: string }}
 */
export const main = async ({
  title,
  source,
  category = undefined,
  severity = undefined,
}) => {
  const client = new SSMClient({});
  try {
    const { opsItemArn, opsItemId } = await client.send(
      new CreateOpsItemCommand({
        Title: title,
        Source: source, // The origin of the OpsItem, such as Amazon EC2 or Systems Manager.
        Category: category,
        Severity: severity,
      }),
    );
    console.log(`Ops item created with id: ${opsItemId}`);
    return { OpsItemArn: opsItemArn, OpsItemId: opsItemId };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide these values?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [CreateOpsItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/CreateOpsItemCommand)。

### `DeleteDocument`
<a name="ssm_DeleteDocument_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteDocument`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { DeleteDocumentCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Delete an SSM document.
 * @param {{ documentName: string }}
 */
export const main = async ({ documentName }) => {
  const client = new SSMClient({});
  try {
    await client.send(new DeleteDocumentCommand({ Name: documentName }));
    console.log(`Document '${documentName}' deleted.`);
    return { Deleted: true };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide this value?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteDocument](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/DeleteDocumentCommand)。

### `DeleteMaintenanceWindow`
<a name="ssm_DeleteMaintenanceWindow_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteMaintenanceWindow`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { DeleteMaintenanceWindowCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Delete an SSM maintenance window.
 * @param {{ windowId: string }}
 */
export const main = async ({ windowId }) => {
  const client = new SSMClient({});
  try {
    await client.send(
      new DeleteMaintenanceWindowCommand({ WindowId: windowId }),
    );
    console.log(`Maintenance window '${windowId}' deleted.`);
    return { Deleted: true };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide this value?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteMaintenanceWindow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/DeleteMaintenanceWindowCommand)。

### `DescribeOpsItems`
<a name="ssm_DescribeOpsItems_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DescribeOpsItems`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import {
  OpsItemFilterOperator,
  OpsItemFilterKey,
  paginateDescribeOpsItems,
  SSMClient,
} from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Describe SSM OpsItems.
 * @param {{ opsItemId: string }}
 */
export const main = async ({ opsItemId }) => {
  const client = new SSMClient({});
  try {
    const describeOpsItemsPaginated = [];
    for await (const page of paginateDescribeOpsItems(
      { client },
      {
        OpsItemFilters: {
          Key: OpsItemFilterKey.OPSITEM_ID,
          Operator: OpsItemFilterOperator.EQUAL,
          Values: opsItemId,
        },
      },
    )) {
      describeOpsItemsPaginated.push(...page.OpsItemSummaries);
    }
    console.log("Here are the ops items:");
    console.log(describeOpsItemsPaginated);
    return { OpsItemSummaries: describeOpsItemsPaginated };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "MissingParameter") {
      console.warn(`${caught.message}. Did you provide this value?`);
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DescribeOpsItems](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/DescribeOpsItemsCommand)。

### `ListCommandInvocations`
<a name="ssm_ListCommandInvocations_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListCommandInvocations`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { paginateListCommandInvocations, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * List SSM command invocations on an instance.
 * @param {{ instanceId: string }}
 */
export const main = async ({ instanceId }) => {
  const client = new SSMClient({});
  try {
    const listCommandInvocationsPaginated = [];
    // The paginate function is a wrapper around the base command.
    const paginator = paginateListCommandInvocations(
      { client },
      {
        InstanceId: instanceId,
      },
    );
    for await (const page of paginator) {
      listCommandInvocationsPaginated.push(...page.CommandInvocations);
    }
    console.log("Here is the list of command invocations:");
    console.log(listCommandInvocationsPaginated);
    return { CommandInvocations: listCommandInvocationsPaginated };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ValidationError") {
      console.warn(`${caught.message}. Did you provide a valid instance ID?`);
    }
    throw caught;
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListCommandInvocations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/ListCommandInvocationsCommand)。

### `SendCommand`
<a name="ssm_SendCommand_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `SendCommand`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { SendCommandCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Send an SSM command to a managed node.
 * @param {{ documentName: string }}
 */
export const main = async ({ documentName }) => {
  const client = new SSMClient({});
  try {
    await client.send(
      new SendCommandCommand({
        DocumentName: documentName,
      }),
    );
    console.log("Command sent successfully.");
    return { Success: true };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ValidationError") {
      console.warn(`${caught.message}. Did you provide a valid document name?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [SendCommand](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/SendCommandCommand)。

### `UpdateMaintenanceWindow`
<a name="ssm_UpdateMaintenanceWindow_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateMaintenanceWindow`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { UpdateMaintenanceWindowCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Update an SSM maintenance window.
 * @param {{ windowId: string, allowUnassociatedTargets?: boolean, duration?: number, enabled?: boolean, name?: string, schedule?: string }}
 */
export const main = async ({
  windowId,
  allowUnassociatedTargets = undefined, //Allow the maintenance window to run on managed nodes, even if you haven't registered those nodes as targets.
  duration = undefined, //The duration of the maintenance window in hours.
  enabled = undefined,
  name = undefined,
  schedule = undefined, //The schedule of the maintenance window in the form of a cron or rate expression.
}) => {
  const client = new SSMClient({});
  try {
    const { opsItemArn, opsItemId } = await client.send(
      new UpdateMaintenanceWindowCommand({
        WindowId: windowId,
        AllowUnassociatedTargets: allowUnassociatedTargets,
        Duration: duration,
        Enabled: enabled,
        Name: name,
        Schedule: schedule,
      }),
    );
    console.log("Maintenance window updated.");
    return { OpsItemArn: opsItemArn, OpsItemId: opsItemId };
  } catch (caught) {
    if (caught instanceof Error && caught.name === "ValidationError") {
      console.warn(`${caught.message}. Are these values correct?`);
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateMaintenanceWindow](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/UpdateMaintenanceWindowCommand)。

### `UpdateOpsItem`
<a name="ssm_UpdateOpsItem_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `UpdateOpsItem`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/ssm#code-examples)中設定和執行。

```
import { UpdateOpsItemCommand, SSMClient } from "@aws-sdk/client-ssm";
import { parseArgs } from "node:util";

/**
 * Update an SSM OpsItem.
 * @param {{ opsItemId: string, status?: OpsItemStatus }}
 */
export const main = async ({
  opsItemId,
  status = undefined, // The OpsItem status. Status can be Open, In Progress, or Resolved
}) => {
  const client = new SSMClient({});
  try {
    await client.send(
      new UpdateOpsItemCommand({
        OpsItemId: opsItemId,
        Status: status,
      }),
    );
    console.log("Ops item updated.");
    return { Success: true };
  } catch (caught) {
    if (
      caught instanceof Error &&
      caught.name === "OpsItemLimitExceededException"
    ) {
      console.warn(
        `Couldn't create ops item because you have exceeded your open OpsItem limit. ${caught.message}.`,
      );
    } else {
      throw caught;
    }
  }
};
```
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [UpdateOpsItem](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/ssm/command/UpdateOpsItemCommand)。

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Textract 範例
<a name="javascript_3_textract_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Textract 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建立 Amazon Textract Explorer 應用程式
<a name="cross_TextractExplorer_javascript_3_topic"></a>

下列程式碼範例示範如何透過互動式應用程式探索 Amazon Textract 輸出。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 適用於 JavaScript 的 AWS SDK 建置 React 應用程式，該應用程式使用 Amazon Textract 從文件映像擷取資料，並將其顯示在互動式網頁中。此範例會在 Web 瀏覽器中執行，且登入資料需要經過驗證的 Amazon Cognito 身分。它使用 Amazon Simple Storage Service (Amazon S3 進行儲存，對於通知，它會輪詢訂閱 Amazon Simple Notification Service (Amazon SNS)) 主題的 Amazon Simple Queue Service (Amazon SQS) 佇列。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/textract-react) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Cognito Identity
+ Amazon S3
+ Amazon SNS
+ Amazon SQS
+ Amazon Textract

### 建立應用程式以分析客戶意見回饋
<a name="cross_FSA_javascript_3_topic"></a>

下列程式碼範例會示範如何建立可分析客戶評論卡、從其原始語言進行翻譯、判斷對方情緒，以及透過翻譯後的文字產生音訊檔案的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 此範例應用程式會分析和存儲客戶的意見回饋卡。具體來說，它滿足了紐約市一家虛構飯店的需求。飯店以實體評論卡的形式收到賓客以各種語言撰寫的意見回饋。這些意見回饋透過 Web 用戶端上傳至應用程式。評論卡的影像上傳後，系統會執行下列步驟：  
+ 文字內容是使用 Amazon Textract 從影像中擷取。
+ Amazon Comprehend 會決定擷取文字及其用語的情感。
+ 擷取的文字內容會使用 Amazon Translate 翻譯成英文。
+ Amazon Polly 會使用擷取的文字內容合成音訊檔案。
 完整的應用程式可透過  AWS CDK 部署。如需原始程式碼和部署的說明，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer) 中的專案。以下摘錄顯示如何在 Lambda 函數內 適用於 JavaScript 的 AWS SDK 使用 。  

```
import {
  ComprehendClient,
  DetectDominantLanguageCommand,
  DetectSentimentCommand,
} from "@aws-sdk/client-comprehend";

/**
 * Determine the language and sentiment of the extracted text.
 *
 * @param {{ source_text: string}} extractTextOutput
 */
export const handler = async (extractTextOutput) => {
  const comprehendClient = new ComprehendClient({});

  const detectDominantLanguageCommand = new DetectDominantLanguageCommand({
    Text: extractTextOutput.source_text,
  });

  // The source language is required for sentiment analysis and
  // translation in the next step.
  const { Languages } = await comprehendClient.send(
    detectDominantLanguageCommand,
  );

  const languageCode = Languages[0].LanguageCode;

  const detectSentimentCommand = new DetectSentimentCommand({
    Text: extractTextOutput.source_text,
    LanguageCode: languageCode,
  });

  const { Sentiment } = await comprehendClient.send(detectSentimentCommand);

  return {
    sentiment: Sentiment,
    language_code: languageCode,
  };
};
```

```
import {
  DetectDocumentTextCommand,
  TextractClient,
} from "@aws-sdk/client-textract";

/**
 * Fetch the S3 object from the event and analyze it using Amazon Textract.
 *
 * @param {import("@types/aws-lambda").EventBridgeEvent<"Object Created">} eventBridgeS3Event
 */
export const handler = async (eventBridgeS3Event) => {
  const textractClient = new TextractClient();

  const detectDocumentTextCommand = new DetectDocumentTextCommand({
    Document: {
      S3Object: {
        Bucket: eventBridgeS3Event.bucket,
        Name: eventBridgeS3Event.object,
      },
    },
  });

  // Textract returns a list of blocks. A block can be a line, a page, word, etc.
  // Each block also contains geometry of the detected text.
  // For more information on the Block type, see https://docs.aws.amazon.com/textract/latest/dg/API_Block.html.
  const { Blocks } = await textractClient.send(detectDocumentTextCommand);

  // For the purpose of this example, we are only interested in words.
  const extractedWords = Blocks.filter((b) => b.BlockType === "WORD").map(
    (b) => b.Text,
  );

  return extractedWords.join(" ");
};
```

```
import { PollyClient, SynthesizeSpeechCommand } from "@aws-sdk/client-polly";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

/**
 * Synthesize an audio file from text.
 *
 * @param {{ bucket: string, translated_text: string, object: string}} sourceDestinationConfig
 */
export const handler = async (sourceDestinationConfig) => {
  const pollyClient = new PollyClient({});

  const synthesizeSpeechCommand = new SynthesizeSpeechCommand({
    Engine: "neural",
    Text: sourceDestinationConfig.translated_text,
    VoiceId: "Ruth",
    OutputFormat: "mp3",
  });

  const { AudioStream } = await pollyClient.send(synthesizeSpeechCommand);

  const audioKey = `${sourceDestinationConfig.object}.mp3`;

  // Store the audio file in S3.
  const s3Client = new S3Client();
  const upload = new Upload({
    client: s3Client,
    params: {
      Bucket: sourceDestinationConfig.bucket,
      Key: audioKey,
      Body: AudioStream,
      ContentType: "audio/mp3",
    },
  });

  await upload.done();
  return audioKey;
};
```

```
import {
  TranslateClient,
  TranslateTextCommand,
} from "@aws-sdk/client-translate";

/**
 * Translate the extracted text to English.
 *
 * @param {{ extracted_text: string, source_language_code: string}} textAndSourceLanguage
 */
export const handler = async (textAndSourceLanguage) => {
  const translateClient = new TranslateClient({});

  const translateCommand = new TranslateTextCommand({
    SourceLanguageCode: textAndSourceLanguage.source_language_code,
    TargetLanguageCode: "en",
    Text: textAndSourceLanguage.extracted_text,
  });

  const { TranslatedText } = await translateClient.send(translateCommand);

  return { translated_text: TranslatedText };
};
```

**此範例中使用的服務**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Transcribe 範例
<a name="javascript_3_transcribe_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Transcribe 來執行動作和實作常見案例。

*Actions* 是大型程式的程式碼摘錄，必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數，但您可以在其相關情境中查看內容中的動作。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [動作](#actions)
+ [案例](#scenarios)

## 動作
<a name="actions"></a>

### `DeleteMedicalTranscriptionJob`
<a name="transcribe_DeleteMedicalTranscriptionJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteMedicalTranscriptionJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中設定和執行。
建立用戶端。  

```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
刪除醫學轉錄作業。  

```
// Import the required AWS SDK clients and commands for Node.js
import { DeleteMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // For example, 'medical_transciption_demo'
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new DeleteMedicalTranscriptionJobCommand(params),
    );
    console.log("Success - deleted");
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-delete-medical-job)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/DeleteMedicalTranscriptionJobCommand)。

### `DeleteTranscriptionJob`
<a name="transcribe_DeleteTranscriptionJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `DeleteTranscriptionJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中設定和執行。
刪除轉錄作業。  

```
// Import the required AWS SDK clients and commands for Node.js
import { DeleteTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  TranscriptionJobName: "JOB_NAME", // Required. For example, 'transciption_demo'
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new DeleteTranscriptionJobCommand(params),
    );
    console.log("Success - deleted");
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
建立用戶端。  

```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-delete-job)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [DeleteTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/DeleteTranscriptionJobCommand)。

### `ListMedicalTranscriptionJobs`
<a name="transcribe_ListMedicalTranscriptionJobs_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListMedicalTranscriptionJobs`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中設定和執行。
建立用戶端。  

```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
列出醫學轉錄作業。  

```
// Import the required AWS SDK clients and commands for Node.js
import { StartMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // Required
  OutputBucketName: "OUTPUT_BUCKET_NAME", // Required
  Specialty: "PRIMARYCARE", // Required. Possible values are 'PRIMARYCARE'
  Type: "JOB_TYPE", // Required. Possible values are 'CONVERSATION' and 'DICTATION'
  LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
  MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
  Media: {
    MediaFileUri: "SOURCE_FILE_LOCATION",
    // The S3 object location of the input media file. The URI must be in the same region
    // as the API endpoint that you are calling.For example,
    // "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
  },
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new StartMedicalTranscriptionJobCommand(params),
    );
    console.log("Success - put", data);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-list-medical-jobs)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListMedicalTranscriptionJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/ListMedicalTranscriptionJobsCommand)。

### `ListTranscriptionJobs`
<a name="transcribe_ListTranscriptionJobs_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `ListTranscriptionJobs`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中設定和執行。
列出轉錄作業。  

```
// Import the required AWS SDK clients and commands for Node.js

import { ListTranscriptionJobsCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  JobNameContains: "KEYWORD", // Not required. Returns only transcription
  // job names containing this string
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new ListTranscriptionJobsCommand(params),
    );
    console.log("Success", data.TranscriptionJobSummaries);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
建立用戶端。  

```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-list-jobs)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [ListTranscriptionJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/ListTranscriptionJobsCommand)。

### `StartMedicalTranscriptionJob`
<a name="transcribe_StartMedicalTranscriptionJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartMedicalTranscriptionJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中設定和執行。
建立用戶端。  

```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
開始醫學轉錄作業。  

```
// Import the required AWS SDK clients and commands for Node.js
import { StartMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // Required
  OutputBucketName: "OUTPUT_BUCKET_NAME", // Required
  Specialty: "PRIMARYCARE", // Required. Possible values are 'PRIMARYCARE'
  Type: "JOB_TYPE", // Required. Possible values are 'CONVERSATION' and 'DICTATION'
  LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
  MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
  Media: {
    MediaFileUri: "SOURCE_FILE_LOCATION",
    // The S3 object location of the input media file. The URI must be in the same region
    // as the API endpoint that you are calling.For example,
    // "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
  },
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new StartMedicalTranscriptionJobCommand(params),
    );
    console.log("Success - put", data);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-start-medical-transcription)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的[StartMedicalTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/StartMedicalTranscriptionJobCommand)。

### `StartTranscriptionJob`
<a name="transcribe_StartTranscriptionJob_javascript_3_topic"></a>

以下程式碼範例顯示如何使用 `StartTranscriptionJob`。

**適用於 JavaScript (v3) 的 SDK**  
 GitHub 上提供更多範例。尋找完整範例，並了解如何在 [AWS 程式碼範例儲存庫](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中設定和執行。
開始轉錄作業。  

```
// Import the required AWS SDK clients and commands for Node.js
import { StartTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";

// Set the parameters
export const params = {
  TranscriptionJobName: "JOB_NAME",
  LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
  MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
  Media: {
    MediaFileUri: "SOURCE_LOCATION",
    // For example, "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
  },
  OutputBucketName: "OUTPUT_BUCKET_NAME",
};

export const run = async () => {
  try {
    const data = await transcribeClient.send(
      new StartTranscriptionJobCommand(params),
    );
    console.log("Success - put", data);
    return data; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
建立用戶端。  

```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+  如需詳細資訊，請參閱《[適用於 JavaScript 的 AWS SDK 開發人員指南](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-start-transcription)》。
+  如需 API 詳細資訊，請參閱《適用於 JavaScript 的 AWS SDK API 參考》**中的 [StartTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/StartTranscriptionJobCommand)。

## 案例
<a name="scenarios"></a>

### 建置 Amazon Transcribe 串流應用程式
<a name="cross_TranscriptionStreamingApp_javascript_3_topic"></a>

下面的程式碼範例說明如何建置可即時記錄、轉錄和翻譯直播音訊並透過電子郵件傳送結果的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 說明如何使用 Amazon Transcribe 建置應用程式，該應用程式可即時記錄、轉錄和翻譯直播音訊，並可使用 Amazon Simple Email Service (Amazon SES) 透過電子郵件傳送結果。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/transcribe-streaming-app) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon SES
+ Amazon Transcribe
+ Amazon Translate

# 使用適用於 JavaScript 的 SDK (v3) 的 Amazon Translate 範例
<a name="javascript_3_translate_code_examples"></a>

下列程式碼範例示範如何使用 適用於 JavaScript 的 AWS SDK (v3) 搭配 Amazon Translate 來執行動作和實作常見案例。

*案例*是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例均包含完整原始碼的連結，您可在連結中找到如何設定和執行內容中程式碼的相關指示。

**Topics**
+ [案例](#scenarios)

## 案例
<a name="scenarios"></a>

### 建置 Amazon Transcribe 串流應用程式
<a name="cross_TranscriptionStreamingApp_javascript_3_topic"></a>

下面的程式碼範例說明如何建置可即時記錄、轉錄和翻譯直播音訊並透過電子郵件傳送結果的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 說明如何使用 Amazon Transcribe 建置應用程式，該應用程式可即時記錄、轉錄和翻譯直播音訊，並可使用 Amazon Simple Email Service (Amazon SES) 透過電子郵件傳送結果。  
 如需完整的原始碼和如何設定及執行的指示，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/transcribe-streaming-app) 上的完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon SES
+ Amazon Transcribe
+ Amazon Translate

### 建置 Amazon Lex 聊天機器人
<a name="cross_LexChatbotLanguages_javascript_3_topic"></a>

下列程式碼範例示範如何建立聊天機器人，與網站訪客的互動。

**適用於 JavaScript (v3) 的 SDK**  
 示範如何使用 Amazon Lex API 在 Web 應用程式中建立 Chatbot，與網站訪客的互動。  
 如需完整的原始程式碼以及如何設定和執行的指示，請參閱 適用於 JavaScript 的 AWS SDK 開發人員指南中的[建置 Amazon Lex 聊天機器人](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/lex-bot-example.html)完整範例。  

**此範例中使用的服務**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

### 建立應用程式以分析客戶意見回饋
<a name="cross_FSA_javascript_3_topic"></a>

下列程式碼範例會示範如何建立可分析客戶評論卡、從其原始語言進行翻譯、判斷對方情緒，以及透過翻譯後的文字產生音訊檔案的應用程式。

**適用於 JavaScript (v3) 的 SDK**  
 此範例應用程式會分析和存儲客戶的意見回饋卡。具體來說，它滿足了紐約市一家虛構飯店的需求。飯店以實體評論卡的形式收到賓客以各種語言撰寫的意見回饋。這些意見回饋透過 Web 用戶端上傳至應用程式。評論卡的影像上傳後，系統會執行下列步驟：  
+ 文字內容是使用 Amazon Textract 從影像中擷取。
+ Amazon Comprehend 會決定擷取文字及其用語的情感。
+ 擷取的文字內容會使用 Amazon Translate 翻譯成英文。
+ Amazon Polly 會使用擷取的文字內容合成音訊檔案。
 完整的應用程式可透過  AWS CDK 部署。如需原始程式碼和部署的說明，請參閱 [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer) 中的專案。以下摘錄顯示如何在 Lambda 函數內 適用於 JavaScript 的 AWS SDK 使用 。  

```
import {
  ComprehendClient,
  DetectDominantLanguageCommand,
  DetectSentimentCommand,
} from "@aws-sdk/client-comprehend";

/**
 * Determine the language and sentiment of the extracted text.
 *
 * @param {{ source_text: string}} extractTextOutput
 */
export const handler = async (extractTextOutput) => {
  const comprehendClient = new ComprehendClient({});

  const detectDominantLanguageCommand = new DetectDominantLanguageCommand({
    Text: extractTextOutput.source_text,
  });

  // The source language is required for sentiment analysis and
  // translation in the next step.
  const { Languages } = await comprehendClient.send(
    detectDominantLanguageCommand,
  );

  const languageCode = Languages[0].LanguageCode;

  const detectSentimentCommand = new DetectSentimentCommand({
    Text: extractTextOutput.source_text,
    LanguageCode: languageCode,
  });

  const { Sentiment } = await comprehendClient.send(detectSentimentCommand);

  return {
    sentiment: Sentiment,
    language_code: languageCode,
  };
};
```

```
import {
  DetectDocumentTextCommand,
  TextractClient,
} from "@aws-sdk/client-textract";

/**
 * Fetch the S3 object from the event and analyze it using Amazon Textract.
 *
 * @param {import("@types/aws-lambda").EventBridgeEvent<"Object Created">} eventBridgeS3Event
 */
export const handler = async (eventBridgeS3Event) => {
  const textractClient = new TextractClient();

  const detectDocumentTextCommand = new DetectDocumentTextCommand({
    Document: {
      S3Object: {
        Bucket: eventBridgeS3Event.bucket,
        Name: eventBridgeS3Event.object,
      },
    },
  });

  // Textract returns a list of blocks. A block can be a line, a page, word, etc.
  // Each block also contains geometry of the detected text.
  // For more information on the Block type, see https://docs.aws.amazon.com/textract/latest/dg/API_Block.html.
  const { Blocks } = await textractClient.send(detectDocumentTextCommand);

  // For the purpose of this example, we are only interested in words.
  const extractedWords = Blocks.filter((b) => b.BlockType === "WORD").map(
    (b) => b.Text,
  );

  return extractedWords.join(" ");
};
```

```
import { PollyClient, SynthesizeSpeechCommand } from "@aws-sdk/client-polly";
import { S3Client } from "@aws-sdk/client-s3";
import { Upload } from "@aws-sdk/lib-storage";

/**
 * Synthesize an audio file from text.
 *
 * @param {{ bucket: string, translated_text: string, object: string}} sourceDestinationConfig
 */
export const handler = async (sourceDestinationConfig) => {
  const pollyClient = new PollyClient({});

  const synthesizeSpeechCommand = new SynthesizeSpeechCommand({
    Engine: "neural",
    Text: sourceDestinationConfig.translated_text,
    VoiceId: "Ruth",
    OutputFormat: "mp3",
  });

  const { AudioStream } = await pollyClient.send(synthesizeSpeechCommand);

  const audioKey = `${sourceDestinationConfig.object}.mp3`;

  // Store the audio file in S3.
  const s3Client = new S3Client();
  const upload = new Upload({
    client: s3Client,
    params: {
      Bucket: sourceDestinationConfig.bucket,
      Key: audioKey,
      Body: AudioStream,
      ContentType: "audio/mp3",
    },
  });

  await upload.done();
  return audioKey;
};
```

```
import {
  TranslateClient,
  TranslateTextCommand,
} from "@aws-sdk/client-translate";

/**
 * Translate the extracted text to English.
 *
 * @param {{ extracted_text: string, source_language_code: string}} textAndSourceLanguage
 */
export const handler = async (textAndSourceLanguage) => {
  const translateClient = new TranslateClient({});

  const translateCommand = new TranslateTextCommand({
    SourceLanguageCode: textAndSourceLanguage.source_language_code,
    TargetLanguageCode: "en",
    Text: textAndSourceLanguage.extracted_text,
  });

  const { TranslatedText } = await translateClient.send(translateCommand);

  return { translated_text: TranslatedText };
};
```

**此範例中使用的服務**
+ Amazon Comprehend
+ Lambda
+ Amazon Polly
+ Amazon Textract
+ Amazon Translate