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。

# 為匿名 （未註冊） 使用者嵌入 Amazon Quick Sight 視覺效果
<a name="embedded-analytics-visuals-for-everyone"></a>


|  | 
| --- |
|  適用於：企業版本  | 


|  | 
| --- |
|    目標對象：Amazon Quick 開發人員  | 

在下列各節中，您可以找到有關如何為匿名 （未註冊） 使用者設定內嵌 Amazon Quick Sight 視覺效果的詳細資訊。

**Topics**
+ [步驟 1：設定許可](#embedded-analytics-visuals-with-anonymous-users-step-1)
+ [步驟 2：產生帶有身分驗證碼的 URL](#embedded-analytics-visuals-with-anonymous-users-step-2)
+ [步驟 3：內嵌視覺效果 URL](#embedded-analytics-visuals-with-anonymous-users-step-3)

## 步驟 1：設定許可
<a name="embedded-analytics-visuals-with-anonymous-users-step-1"></a>


|  | 
| --- |
|  適用於：企業版本  | 


|  | 
| --- |
|    目標對象：Amazon Quick 開發人員  | 

在以下章節中，您可以了解如何為後端應用程式或 Web 伺服器設定許可。這個任務需要有 IAM 的管理存取權。

每個存取視覺效果的使用者都會擔任一個角色，為他們提供視覺效果的 Amazon Quick Sight 存取權和許可。若要實現此目的，請在 中建立 IAM 角色 AWS 帳戶。將 IAM 政策與此角色建立關聯，以提供許可給擔任此角色的任何使用者。

您可以在 IAM 政策中建立條件，以限制開發人員可在 `GenerateEmbedUrlForAnonymousUser` API 操作的 `AllowedDomains` 參數中列出的域。`AllowedDomains` 參數是選用參數。它可讓您以開發人員身分選擇覆寫**管理 Amazon Quick Sight **選單中設定的靜態網域。您則最多可以列出三個可存取產生之 URL 的域或子網域。然後，此 URL 將嵌入您建立的網站中。只有參數中列出的域可以存取內嵌式儀表板。如果沒有這種情況，您可以在 `AllowedDomains` 參數中列出網際網路上的任何域。

若要限制開發人員可搭配此參數使用的域，請在 IAM 政策中新增 `AllowedEmbeddingDomains` 條件。如需 `AllowedDomains` 參數的詳細資訊，請參閱《*Amazon Quick Sight API 參考*》中的 [GenerateEmbedUrlForAnonymousUser](https://docs.aws.amazon.com//quicksight/latest/APIReference/API_GenerateEmbedUrlForAnonymousUser.html)。

**IAM 條件運算子的安全最佳實務**  
設定不當的 IAM 條件運算子可能會允許透過 URL 變化未經授權存取您的內嵌 Quick 資源。在 IAM 政策中使用 `quicksight:AllowedEmbeddingDomains`條件索引鍵時，請使用允許特定網域或拒絕未明確允許的所有網域的條件運算子。如需 IAM 條件運算子的詳細資訊，請參閱《IAM [使用者指南》中的 IAM JSON 政策元素：條件運算子](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_condition_operators.html)。  
許多不同的 URL 變化可以指向相同的資源。例如，下列 URLs都會解析為相同的內容：  
`https://example.com`
`https://example.com/`
`https://Example.com`
如果您的政策使用未考慮這些 URL 變化的運算子，攻擊者可以透過提供同等的 URL 變化來繞過您的限制。  
您必須驗證 IAM 政策是否使用適當的條件運算子來防止繞過漏洞，並確保只有您預期的網域可以存取您的內嵌資源。

您的應用程式的 IAM 身分必須有相關聯的信任政策，以允許存取至您剛建立的角色。這表示當使用者存取您的應用程式時，您的應用程式可代表使用者擔任該角色，並開啟視覺效果。範例信任政策如下所示。

------
#### [ JSON ]

****  

```
{
    "Version":"2012-10-17",		 	 	 
    "Statement": [
        {
            "Sid": "AllowLambdaFunctionsToAssumeThisRole",
            "Effect": "Allow",
            "Principal": {
                "Service": "lambda.amazonaws.com"
            },
            "Action": "sts:AssumeRole"
        },
        {
            "Sid": "AllowEC2InstancesToAssumeThisRole",
            "Effect": "Allow",
            "Principal": {
                "Service": "ec2.amazonaws.com"
            },
            "Action": "sts:AssumeRole"
        }
    ]
}
```

------

如需有關信任政策的詳細資訊，請參閱**《IAM 使用者指南》中的[ IAM 中的臨時安全憑證](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html)。

## 步驟 2：產生帶有身分驗證碼的 URL
<a name="embedded-analytics-visuals-with-anonymous-users-step-2"></a>


|  | 
| --- |
|  適用於：企業版本  | 


|  | 
| --- |
|    目標對象：Amazon Quick 開發人員  | 

在下一章節，您可以了解如何在您的應用程式伺服器上代表匿名訪客進行身分驗證，以及取得可內嵌的視覺效果 URL。

當使用者存取您的應用程式時，該應用程式代表使用者擔任 IAM 角色。然後，如果使用者尚未存在，它會將使用者新增至 Amazon Quick Sight。接著，它傳遞識別符當作唯一的角色工作階段 ID。

下列範例會代表使用者執行 IAM 身分驗證。它傳遞識別符當作唯一的角色工作階段 ID。此代碼在您的應用程式伺服器上運行。

### Java
<a name="embedded-analytics-visuals-with-anonymous-users-java"></a>

```
import com.amazonaws.auth.AWSCredentials;
import com.amazonaws.auth.BasicAWSCredentials;
import com.amazonaws.auth.AWSCredentialsProvider;
import com.amazonaws.regions.Regions;
import com.amazonaws.services.quicksight.AmazonQuickSight;
import com.amazonaws.services.quicksight.AmazonQuickSightClientBuilder;
import com.amazonaws.services.quicksight.model.AnonymousUserDashboardVisualEmbeddingConfiguration;
import com.amazonaws.services.quicksight.model.AnonymousUserEmbeddingExperienceConfiguration;
import com.amazonaws.services.quicksight.model.DashboardVisualId;
import com.amazonaws.services.quicksight.model.GenerateEmbedUrlForAnonymousUserRequest;
import com.amazonaws.services.quicksight.model.GenerateEmbedUrlForAnonymousUserResult;
import com.amazonaws.services.quicksight.model.SessionTag;

import java.util.List;

/**
 * Class to call QuickSight AWS SDK to get url for Visual embedding.
 */
public class GenerateEmbedUrlForAnonymousUserTest {
    private final AmazonQuickSight quickSightClient;

    public GenerateEmbedUrlForAnonymousUserTest() {
        this.quickSightClient = AmazonQuickSightClientBuilder
            .standard()
            .withRegion(Regions.US_EAST_1.getName())
            .withCredentials(new AWSCredentialsProvider() {
                    @Override
                    public AWSCredentials getCredentials() {
                        // provide actual IAM access key and secret key here
                        return new BasicAWSCredentials("access-key", "secret-key");
                    }

                    @Override
                    public void refresh() {                           
                    }
                }
            )
            .build();
    }

    public String getEmbedUrl(
            final String accountId, // AWS Account ID
            final String namespace, // Anonymous embedding required specifying a valid namespace for which you want the enbedding URL
            final List<String> authorizedResourceArns, // Dashboard arn list of dashboard visuals to embed
            final String dashboardId, // Dashboard ID of the dashboard to embed
            final String sheetId, // Sheet ID of the sheet to embed
            final String visualId, // Visual ID of the visual to embed
            final List<String> allowedDomains, // Runtime allowed domains for embedding
            final List<SessionTag> sessionTags // Session tags used for row-level security
    ) throws Exception {
        final DashboardVisualId dashboardVisual = new DashboardVisualId()
            .withDashboardId(dashboardId)
            .withSheetId(sheetId)
            .withVisualId(visualId);
        final AnonymousUserDashboardVisualEmbeddingConfiguration anonymousUserDashboardVisualEmbeddingConfiguration
            = new AnonymousUserDashboardVisualEmbeddingConfiguration()
                .withInitialDashboardVisualId(dashboardVisual);
        final AnonymousUserEmbeddingExperienceConfiguration anonymousUserEmbeddingExperienceConfiguration
            = new AnonymousUserEmbeddingExperienceConfiguration()
                .withDashboardVisual(anonymousUserDashboardVisualEmbeddingConfiguration);
        final GenerateEmbedUrlForAnonymousUserRequest generateEmbedUrlForAnonymousUserRequest
            = new GenerateEmbedUrlForAnonymousUserRequest()
                .withAwsAccountId(accountId)
                .withNamespace(namespace)
                // authorizedResourceArns should contain ARN of dashboard used below in ExperienceConfiguration
                .withAuthorizedResourceArns(authorizedResourceArns)
                .withExperienceConfiguration(anonymousUserEmbeddingExperienceConfiguration)
                .withAllowedDomains(allowedDomains)
                .withSessionTags(sessionTags)
                .withSessionLifetimeInMinutes(600L);

        final GenerateEmbedUrlForAnonymousUserResult generateEmbedUrlForAnonymousUserResult
            = quickSightClient.generateEmbedUrlForAnonymousUser(generateEmbedUrlForAnonymousUserRequest);

        return generateEmbedUrlForAnonymousUserResult.getEmbedUrl();
    }
}
```

### JavaScript
<a name="embedded-analytics-visuals-with-anonymous-users-js"></a>

```
global.fetch = require('node-fetch');
const AWS = require('aws-sdk');

function generateEmbedUrlForAnonymousUser(
    accountId, // Your AWS account ID
    dashboardId, // Dashboard ID to which the constructed url points
    sheetId, // Sheet ID to which the constructed url points
    visualId, // Visual ID to which the constructed url points
    quicksightNamespace, // valid namespace where you want to do embedding
    authorizedResourceArns, // dashboard arn list of dashboard visuals to embed
    allowedDomains, // runtime allowed domains for embedding
    sessionTags, // session tags used for row-level security
    generateEmbedUrlForAnonymousUserCallback, // success callback method
    errorCallback // error callback method
    ) {
    const experienceConfiguration = {
        "DashboardVisual": {
            "InitialDashboardVisualId": {
                "DashboardId": dashboardId,
                "SheetId": sheetId,
                "VisualId": visualId
            }
        }
    };
    
    const generateEmbedUrlForAnonymousUserParams = {
        "AwsAccountId": accountId,
        "Namespace": quicksightNamespace,
        // authorizedResourceArns should contain ARN of dashboard used below in ExperienceConfiguration
        "AuthorizedResourceArns": authorizedResourceArns,
        "AllowedDomains": allowedDomains,
        "ExperienceConfiguration": experienceConfiguration,
        "SessionTags": sessionTags,
        "SessionLifetimeInMinutes": 600
    };

    const quicksightClient = new AWS.QuickSight({
        region: process.env.AWS_REGION,
        credentials: {
            accessKeyId: AccessKeyId,
            secretAccessKey: SecretAccessKey,
            sessionToken: SessionToken,
            expiration: Expiration
        }
    });

    quicksightClient.generateEmbedUrlForAnonymousUser(generateEmbedUrlForAnonymousUserParams, function(err, data) {
        if (err) {
            console.log(err, err.stack);
            errorCallback(err);
        } else {
            const result = {
                "statusCode": 200,
                "headers": {
                    "Access-Control-Allow-Origin": "*", // USE YOUR WEBSITE DOMAIN TO SECURE ACCESS TO THIS API
                    "Access-Control-Allow-Headers": "Content-Type"
                },
                "body": JSON.stringify(data),
                "isBase64Encoded": false
            }
            generateEmbedUrlForAnonymousUserCallback(result);
        }
    });
}
```

### Python3
<a name="embedded-analytics-visuals-with-anonymous-users-py"></a>

```
import json
import boto3
from botocore.exceptions import ClientError
import time

# Create QuickSight and STS clients
quicksightClient = boto3.client('quicksight',region_name='us-west-2')
sts = boto3.client('sts')

# Function to generate embedded URL for anonymous user
# accountId: YOUR AWS ACCOUNT ID
# quicksightNamespace: VALID NAMESPACE WHERE YOU WANT TO DO NOAUTH EMBEDDING
# authorizedResourceArns: DASHBOARD ARN LIST TO EMBED
# allowedDomains: RUNTIME ALLOWED DOMAINS FOR EMBEDDING
# experienceConfiguration: DASHBOARD ID, SHEET ID and VISUAL ID TO WHICH THE CONSTRUCTED URL POINTS
# Example experienceConfig -> 'DashboardVisual': {
#     'InitialDashboardVisualId': {
#         'DashboardId': 'dashboardId',
#         'SheetId': 'sheetId',
#         'VisualId': 'visualId'
#     }
# },
# sessionTags: SESSION TAGS USED FOR ROW-LEVEL SECURITY
def generateEmbedUrlForAnonymousUser(accountId, quicksightNamespace, authorizedResourceArns, allowedDomains, experienceConfiguration, sessionTags):
    try:
        response = quicksightClient.generate_embed_url_for_anonymous_user(
            AwsAccountId = accountId,
            Namespace = quicksightNamespace,
            AuthorizedResourceArns = authorizedResourceArns,
            AllowedDomains = allowedDomains,
            ExperienceConfiguration = experienceConfiguration,
            SessionTags = sessionTags,
            SessionLifetimeInMinutes = 600
        )
            
        return {
            'statusCode': 200,
            'headers': {"Access-Control-Allow-Origin": "*", "Access-Control-Allow-Headers": "Content-Type"},
            'body': json.dumps(response),
            'isBase64Encoded':  bool('false')
        }
    except ClientError as e:
        print(e)
        return "Error generating embeddedURL: " + str(e)
```

### Node.js
<a name="embedded-analytics-visuals-with-anonymous-users-node"></a>

以下範例顯示的 JavaScript (Node.js) 可在應用程式伺服器上用來產生嵌入式儀表板的 URL。您可以在您的網站或應用程式中使用此 URL 來顯示儀表板。

**Example**  

```
const AWS = require('aws-sdk');
const https = require('https');

var quicksightClient = new AWS.Service({
    apiConfig: require('./quicksight-2018-04-01.min.json'),
    region: 'us-east-1',
});

quicksightClient.generateEmbedUrlForAnonymousUser({
    'AwsAccountId': '111122223333',
    'Namespace' : 'default',
    // authorizedResourceArns should contain ARN of dashboard used below in ExperienceConfiguration
    'AuthorizedResourceArns': authorizedResourceArns,
    'ExperienceConfiguration': { 
        'DashboardVisual': {
            'InitialDashboardVisualId': {
                'DashboardId': 'dashboard_id',
                'SheetId': 'sheet_id',
                'VisualId': 'visual_id'
            }
        }
    },
    'AllowedDomains': allowedDomains,    
    'SessionTags': sessionTags,
    'SessionLifetimeInMinutes': 600

}, function(err, data) {
    console.log('Errors: ');
    console.log(err);
    console.log('Response: ');
    console.log(data);
});
```

**Example**  

```
//The URL returned is over 900 characters. For this example, we've shortened the string for
//readability and added ellipsis to indicate that it's incomplete.
    {
        "Status": "200",
        "EmbedUrl": "https://{{quicksightdomain}}/embed/12345/dashboards/67890/sheets/12345/visuals/67890...",
        "RequestId": "7bee030e-f191-45c4-97fe-d9faf0e03713"
    }
```

### .NET/C\#
<a name="embedded-analytics-visuals-with-anonymous-users-cs"></a>

以下範例顯示的 .NET/C\# 程式碼可在應用程式伺服器上用來產生嵌入式儀表板的 URL。您可以在您的網站或應用程式中使用此 URL 來顯示儀表板。

**Example**  

```
using System;
using Amazon.QuickSight;
using Amazon.QuickSight.Model;

namespace GenerateDashboardEmbedUrlForAnonymousUser
{
    class Program
    {
        static void Main(string[] args)
        {
            var quicksightClient = new AmazonQuickSightClient(
                AccessKey,
                SecretAccessKey,
                SessionToken,
                Amazon.RegionEndpoint.USEast1);
            try
            {
                DashboardVisualId dashboardVisual = new DashboardVisualId
                {
                    DashboardId = "dashboard_id",
                    SheetId = "sheet_id",
                    VisualId = "visual_id"
                };

                AnonymousUserDashboardVisualEmbeddingConfiguration anonymousUserDashboardVisualEmbeddingConfiguration
                    = new AnonymousUserDashboardVisualEmbeddingConfiguration
                    {
                        InitialDashboardVisualId = dashboardVisual                        
                    };               
                    
                AnonymousUserEmbeddingExperienceConfiguration anonymousUserEmbeddingExperienceConfiguration
                    = new AnonymousUserEmbeddingExperienceConfiguration
                    {
                        DashboardVisual = anonymousUserDashboardVisualEmbeddingConfiguration
                    }; 
                    
                Console.WriteLine(
                    quicksightClient.GenerateEmbedUrlForAnonymousUserAsync(new GenerateEmbedUrlForAnonymousUserRequest
                    {
                        AwsAccountId = "111222333444",
                        Namespace = default,
                        // authorizedResourceArns should contain ARN of dashboard used below in ExperienceConfiguration
                        AuthorizedResourceArns = { "dashboard_id" },
                        ExperienceConfiguration = anonymousUserEmbeddingExperienceConfiguration,
                        SessionTags = sessionTags,
                        SessionLifetimeInMinutes = 600,
                    }).Result.EmbedUrl
                );
            } catch (Exception ex) {
                Console.WriteLine(ex.Message);
            }
        }
    }
}
```

### AWS CLI
<a name="embedded-analytics-visuals-with-anonymous-users-cli"></a>

若要擔任角色，請選擇下列其中一個 AWS Security Token Service (AWS STS) API 操作：
+ [AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html) – 在使用 IAM 身分擔任角色的情況下使用此操作。
+ [AssumeRoleWithWebIdentity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithWebIdentity.html) – 在使用 Web 身分提供者驗證您的使用者時，請使用此操作。
+ [AssumeRoleWithSaml](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRoleWithSAML.html) –在您使用安全性聲明標記語言 (SAML) 驗證使用者時，請使用此操作。

以下範例顯示用來設定 IAM 角色的 CLI 命令。角色需要啟用 `quicksight:GenerateEmbedUrlForAnonymousUser` 的許可。

```
aws sts assume-role \
    --role-arn "{{arn:aws:iam::11112222333:role/QuickSightEmbeddingAnonymousPolicy}}" \
    --role-session-name {{anonymous caller}}
```

`assume-role` 操作會傳回三個輸出參數：存取金鑰、私密金鑰和工作階段字符。

**注意**  
若您呼叫 `AssumeRole` 操作時收到 `ExpiredToken` 錯誤，原因可能是先前的 `SESSION TOKEN` 仍在環境變數中。設定以下變數便可清除此錯誤：  
*AWS\_ACCESS\_KEY\_ID* 
*AWS\_SECRET\_ACCESS\_KEY* 
*AWS\_SESSION\_TOKEN* 

以下範例說明如何在 CLI 中設定這三個參數。如果您使用 Microsoft Windows 電腦，請使用 `set`，不要使用 `export`。

```
export AWS_ACCESS_KEY_ID     = "{{access_key_from_assume_role}}"
        export AWS_SECRET_ACCESS_KEY = "{{secret_key_from_assume_role}}"
        export AWS_SESSION_TOKEN     = "{{session_token_from_assume_role}}"
```

對於瀏覽您網站的使用者，執行這些命令可將其角色工作階段 ID 設為 `embedding_quicksight_visual_role/QuickSightEmbeddingAnonymousPolicy`。角色工作階段 ID 由來自 `role-arn` 和 `role-session-name` 值的角色名稱所組成。對每個使用者使用唯一的角色工作階段 ID，可確保為每個訪問使用者設定適當的許可。它還使每個會話獨立且不同。如果您正在使用 Web 伺服器陣列 (例如負載平衡)，且工作階段重新連線到不同的伺服器，則會開始新的工作階段。

為了取得視覺效果的簽章 URL，請從應用程式伺服器呼叫 `generate-embed-url-for-anynymous-user`。這會傳回可內嵌的視覺效果 URL。下列範例顯示如何使用伺服器端呼叫，針對匿名造訪您的 Web 入口網站或應用程式的使用者，產生內嵌視覺效果的 URL。

```
aws quicksight generate-embed-url-for-anonymous-user \
    --aws-account-id {{111122223333}} \
    --namespace {{default-or-something-else}} \
    --session-lifetime-in-minutes 15 \
    --authorized-resource-arns '["{{dashboard-arn-1}}","{{dashboard-arn-2}}"]' \
    --allowed-domains '["{{domain1}}","{{domain2}}"]' \
    --session-tags '["Key": {{tag-key-1}},"Value": {{tag-value-1}},{"Key": {{tag-key-1}},"Value": {{tag-value-1}}}]' \
    --experience-configuration 'DashboardVisual={InitialDashboardVisualId={DashboardId={{dashboard_id}},SheetId={{sheet_id}},VisualId={{visual_id}}}}'
```

如需使用此操作的詳細資訊，請參閱 [https://docs.aws.amazon.com/quicksight/latest/APIReference/API_GenerateEmbedUrlForAnonymousUser.html](https://docs.aws.amazon.com/quicksight/latest/APIReference/API_GenerateEmbedUrlForAnonymousUser.html)。您可以在您自己的程式碼中使用這個和其他 API 操作。

## 步驟 3：內嵌視覺效果 URL
<a name="embedded-analytics-visuals-with-anonymous-users-step-3"></a>


|  | 
| --- |
|  適用於：企業版  | 


|  | 
| --- |
|    目標對象：Amazon Quick 開發人員  | 

在下一節中，您可以了解如何使用 [Amazon Quick Sight 內嵌 SDK](https://www.npmjs.com/package/amazon-quicksight-embedding-sdk) (JavaScript)，在網站或應用程式頁面中嵌入步驟 2 的視覺化 URL。您可以使用此 SDK 執行以下操作：
+ 將視覺效果放置在 HTML 頁面上。
+ 將參數傳遞到視覺效果中。
+ 以針對您的應用程式而訂做的訊息來處理錯誤狀態。

呼叫 `GenerateEmbedUrlForAnonymousUser` API 操作以產生可嵌入應用程式的 URL。此 URL 的有效期為 5 分鐘，而產生的工作階段有效期為 10 小時。API 操作為 URL 提供的授權 (auth) 代碼將啟用單一登入工作階段。

以下是 `generate-embed-url-for-anonymous-user` 的回應範例。此範例中`{{quicksightdomain}}`的 是您用來存取 Amazon Quick Sight 帳戶的 URL。

```
//The URL returned is over 900 characters. For this example, we've shortened the string for
//readability and added ellipsis to indicate that it's incomplete.
    {
        "Status": "200",
        "EmbedUrl": "https://{{quicksightdomain}}/embed/12345/dashboards/67890/sheets/12345/visuals/67890...",
        "RequestId": "7bee030e-f191-45c4-97fe-d9faf0e03713"
    }
```

使用 Amazon Quick Sight [內嵌 SDK 或將此 URL 新增至 iframe，將此視覺效果內嵌](https://www.npmjs.com/package/amazon-quicksight-embedding-sdk)在您的網頁中。如果您設定固定高度和寬度數字 （以像素為單位），Amazon Quick Sight 會使用這些值，而且不會隨著視窗調整大小而變更視覺效果。如果您設定相對百分比高度和寬度，Amazon Quick Sight 會提供隨著視窗大小變更而修改的回應式配置。透過使用 Amazon Quick Sight 內嵌 SDK，您也可以控制視覺效果中的參數，並在視覺效果載入完成和錯誤方面接收回呼。

即將託管內嵌視覺效果的網域必須列在*允許清單*中，此為您的 Quick 訂閱已獲核准的域清單。這項要求將使未獲核准的域無法託管內嵌視覺效果和儀表板，進而保護您的資料。如需為內嵌視覺效果和儀表板新增網域的詳細資訊，請參閱[使用 Amazon Quick Sight API 在執行時間允許列出網域](https://docs.aws.amazon.com/quicksight/latest/user/embedding-run-time.html)。

下列範例示範如何使用產生的 URL。此代碼駐留在您的應用程式伺服器上。

### SDK 2.0
<a name="embedded-analytics-visuals-with-anonymous-users-sdkv2"></a>

```
<!DOCTYPE html>
<html>

    <head>
        <title>Visual Embedding Example</title>
        <script src="https://unpkg.com/amazon-quicksight-embedding-sdk@2.0.0/dist/quicksight-embedding-js-sdk.min.js"></script>
        <script type="text/javascript">
            const embedVisual = async() => {    
                const {
                    createEmbeddingContext,
                } = QuickSightEmbedding;

                const embeddingContext = await createEmbeddingContext({
                    onChange: (changeEvent, metadata) => {
                        console.log('Context received a change', changeEvent, metadata);
                    },
                });

                const frameOptions = {
                    url: "<YOUR_EMBED_URL>", // replace this value with the url generated via embedding API
                    container: '#experience-container',
                    height: "700px",
                    width: "1000px",
                    onChange: (changeEvent, metadata) => {
                        switch (changeEvent.eventName) {
                            case 'FRAME_MOUNTED': {
                                console.log("Do something when the experience frame is mounted.");
                                break;
                            }
                            case 'FRAME_LOADED': {
                                console.log("Do something when the experience frame is loaded.");
                                break;
                            }
                        }
                    },
                };

                const contentOptions = {
                    parameters: [
                        {
                            Name: 'country',
                            Values: ['United States'],
                        },
                        {
                            Name: 'states',
                            Values: [
                                'California',
                                'Washington'
                            ]
                        }
                    ],
                    locale: "en-US",
                    onMessage: async (messageEvent, experienceMetadata) => {
                        switch (messageEvent.eventName) {
                            case 'CONTENT_LOADED': {
                                console.log("All visuals are loaded. The title of the document:", messageEvent.message.title);
                                break;
                            }
                            case 'ERROR_OCCURRED': {
                                console.log("Error occurred while rendering the experience. Error code:", messageEvent.message.errorCode);
                                break;
                            }
                            case 'PARAMETERS_CHANGED': {
                                console.log("Parameters changed. Changed parameters:", messageEvent.message.changedParameters);
                                break;
                            }
                            case 'SIZE_CHANGED': {
                                console.log("Size changed. New dimensions:", messageEvent.message);
                                break;
                            }
                        }
                    },
                };
                const embeddedVisualExperience = await embeddingContext.embedVisual(frameOptions, contentOptions);

                const selectCountryElement = document.getElementById('country');
                selectCountryElement.addEventListener('change', (event) => {
                    embeddedVisualExperience.setParameters([
                        {
                            Name: 'country',
                            Values: event.target.value
                        }
                    ]);
                });
            };
        </script>
    </head>

    <body onload="embedVisual()">
        <span>
            <label for="country">Country</label>
            <select id="country" name="country">
                <option value="United States">United States</option>
                <option value="Mexico">Mexico</option>
                <option value="Canada">Canada</option>
            </select>
        </span>
        <div id="experience-container"></div>
    </body>

</html>
```

### SDK 1.0
<a name="embedded-analytics-visuals-with-anonymous-users-sdkv1"></a>

```
<!DOCTYPE html>
<html>

    <head>
        <title>Visual Embedding Example</title>
        <!-- You can download the latest QuickSight embedding SDK version from https://www.npmjs.com/package/amazon-quicksight-embedding-sdk -->
        <!-- Or you can do "npm install amazon-quicksight-embedding-sdk", if you use npm for javascript dependencies -->
        <script src="./quicksight-embedding-js-sdk.min.js"></script>
        <script type="text/javascript">
            let embeddedVisualExperience;
            function onVisualLoad(payload) {
                console.log("Do something when the visual is fully loaded.");
            }

            function onError(payload) {
                console.log("Do something when the visual fails loading");
            }

            function embedVisual() {
                const containerDiv = document.getElementById("embeddingContainer");
                const options = {
                    url: "<YOUR_EMBED_URL>", // replace this value with the url generated via embedding API
                    container: containerDiv,
                    parameters: {
                        country: "United States"
                    },
                    height: "700px",
                    width: "1000px",
                    locale: "en-US"
                };
                embeddedVisualExperience = QuickSightEmbedding.embedVisual(options);
                embeddedVisualExperience.on("error", onError);
                embeddedVisualExperience.on("load", onVisualLoad);
            }

            function onCountryChange(obj) {
                embeddedVisualExperience.setParameters({country: obj.value});
            }
        </script>
    </head>

    <body onload="embedVisual()">
        <span>
            <label for="country">Country</label>
            <select id="country" name="country" onchange="onCountryChange(this)">
                <option value="United States">United States</option>
                <option value="Mexico">Mexico</option>
                <option value="Canada">Canada</option>
            </select>
        </span>
        <div id="embeddingContainer"></div>
    </body>

</html>
```

若要讓此範例運作，請務必使用 Amazon Quick Sight 內嵌 SDK，使用 JavaScript 在您的網站上載入內嵌視覺效果。為獲得您的版本，請執行以下其中一項操作：
+ 從 GitHub 下載 [Amazon Quick Sight 內嵌 SDK](https://github.com/awslabs/amazon-quicksight-embedding-sdk#step-3-create-the-quicksight-session-object)。此儲存庫由一組 Amazon Quick Sight 開發人員維護。
+ 從 [https://www.npmjs.com/package/amazon-quicksight-embedding-sdk](https://www.npmjs.com/package/amazon-quicksight-embedding-sdk) 下載最新的 QuickSight 內嵌開發套件版本。
+ 如果您使用 JavaScript 相依性的 `npm`，請執行下列命令來下載並安裝它。

  ```
  npm install amazon-quicksight-embedding-sdk
  ```