AWS CLI Command Reference

[ aws . quicksight ]

generate-embed-url-for-registered-user-with-identity

Description

Generates an embed URL that you can use to embed an Amazon QuickSight experience in your website. This action can be used for any type of user that is registered in an Amazon QuickSight account that uses IAM Identity Center for authentication. This API requires identity-enhanced IAM Role sessions for the authenticated user that the API call is being made for.

This API uses trusted identity propagation to ensure that an end user is authenticated and receives the embed URL that is specific to that user. The IAM Identity Center application that the user has logged into needs to have trusted Identity Propagation enabled for Amazon QuickSight with the scope value set to quicksight:read . Before you use this action, make sure that you have configured the relevant Amazon QuickSight resource and permissions.

See also: AWS API Documentation

Synopsis

  generate-embed-url-for-registered-user-with-identity
--aws-account-id <value>
[--session-lifetime-in-minutes <value>]
--experience-configuration <value>
[--allowed-domains <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options

--aws-account-id (string)

The ID of the Amazon Web Services registered user.

--session-lifetime-in-minutes (long)

The validity of the session in minutes.

--experience-configuration (structure)

The type of experience you want to embed. For registered users, you can embed Amazon QuickSight dashboards or the Amazon QuickSight console.

Note

Exactly one of the experience configurations is required. You can choose Dashboard or QuickSightConsole . You cannot choose more than one experience configuration.

Dashboard -> (structure)

The configuration details for providing a dashboard embedding experience.

InitialDashboardId -> (string)

The dashboard ID for the dashboard that you want the user to see first. This ID is included in the output URL. When the URL in response is accessed, Amazon QuickSight renders this dashboard if the user has permissions to view it.

If the user does not have permission to view this dashboard, they see a permissions error message.

FeatureConfigurations -> (structure)

The feature configurations of an embbedded Amazon QuickSight dashboard.

StatePersistence -> (structure)

The state persistence settings of an embedded dashboard.

Enabled -> (boolean)

Determines if a Amazon QuickSight dashboard’s state persistence settings are turned on or off.

SharedView -> (structure)

The shared view settings of an embedded dashboard.

Enabled -> (boolean)

The shared view settings of an embedded dashboard.

Bookmarks -> (structure)

The bookmarks configuration for an embedded dashboard in Amazon QuickSight.

Enabled -> (boolean)

A Boolean value that determines whether a user can bookmark an embedded dashboard.

QuickSightConsole -> (structure)

The configuration details for providing each Amazon QuickSight console embedding experience. This can be used along with custom permissions to restrict access to certain features. For more information, see Customizing Access to the Amazon QuickSight Console in the Amazon QuickSight User Guide .

Use `` GenerateEmbedUrlForRegisteredUser `` where you want to provide an authoring portal that allows users to create data sources, datasets, analyses, and dashboards. The users who accesses an embedded Amazon QuickSight console needs to belong to the author or admin security cohort. If you want to restrict permissions to some of these features, add a custom permissions profile to the user with the `` UpdateUser `` API operation. Use the `` RegisterUser `` API operation to add a new user with a custom permission profile attached. For more information, see the following sections in the Amazon QuickSight User Guide :

For more information about the high-level steps for embedding and for an interactive demo of the ways you can customize embedding, visit the Amazon QuickSight Developer Portal .

InitialPath -> (string)

The initial URL path for the Amazon QuickSight console. InitialPath is required.

The entry point URL is constrained to the following paths:

  • /start
  • /start/analyses
  • /start/dashboards
  • /start/favorites
  • /dashboards/DashboardId . DashboardId is the actual ID key from the Amazon QuickSight console URL of the dashboard.
  • /analyses/AnalysisId . AnalysisId is the actual ID key from the Amazon QuickSight console URL of the analysis.

FeatureConfigurations -> (structure)

The embedding configuration of an embedded Amazon QuickSight console.

StatePersistence -> (structure)

The state persistence configurations of an embedded Amazon QuickSight console.

Enabled -> (boolean)

Determines if a Amazon QuickSight dashboard’s state persistence settings are turned on or off.

SharedView -> (structure)

The shared view settings of an embedded dashboard.

Enabled -> (boolean)

The shared view settings of an embedded dashboard.

QSearchBar -> (structure)

The configuration details for embedding the Q search bar.

For more information about embedding the Q search bar, see Embedding Overview in the Amazon QuickSight User Guide .

InitialTopicId -> (string)

The ID of the legacy Q topic that you want to use as the starting topic in the Q search bar. To locate the topic ID of the topic that you want to use, open the Amazon QuickSight console , navigate to the Topics pane, and choose thre topic that you want to use. The TopicID is located in the URL of the topic that opens. When you select an initial topic, you can specify whether or not readers are allowed to select other topics from the list of available topics.

If you don’t specify an initial topic or if you specify a new reader experience topic, a list of all shared legacy topics is shown in the Q bar.

DashboardVisual -> (structure)

The type of embedding experience. In this case, Amazon QuickSight visuals.

InitialDashboardVisualId -> (structure)

The visual ID for the visual that you want the user to embed. This ID is included in the output URL. When the URL in response is accessed, Amazon QuickSight renders this visual.

The Amazon Resource Name (ARN) of the dashboard that the visual belongs to must be included in the AuthorizedResourceArns parameter. Otherwise, the request will fail with InvalidParameterValueException .

DashboardId -> (string)

The ID of the dashboard that has the visual that you want to embed. The DashboardId can be found in the IDs for developers section of the Embed visual pane of the visual’s on-visual menu of the Amazon QuickSight console. You can also get the DashboardId with a ListDashboards API operation.

SheetId -> (string)

The ID of the sheet that the has visual that you want to embed. The SheetId can be found in the IDs for developers section of the Embed visual pane of the visual’s on-visual menu of the Amazon QuickSight console.

VisualId -> (string)

The ID of the visual that you want to embed. The VisualID can be found in the IDs for developers section of the Embed visual pane of the visual’s on-visual menu of the Amazon QuickSight console.

GenerativeQnA -> (structure)

The configuration details for embedding the Generative Q&A experience.

For more information about embedding the Generative Q&A experience, see Embedding Overview in the Amazon QuickSight User Guide .

InitialTopicId -> (string)

The ID of the new Q reader experience topic that you want to make the starting topic in the Generative Q&A experience. You can find a topic ID by navigating to the Topics pane in the Amazon QuickSight application and opening a topic. The ID is in the URL for the topic that you open.

If you don’t specify an initial topic or you specify a legacy topic, a list of all shared new reader experience topics is shown in the Generative Q&A experience for your readers. When you select an initial new reader experience topic, you can specify whether or not readers are allowed to select other new reader experience topics from the available ones in the list.

JSON Syntax:

{
  "Dashboard": {
    "InitialDashboardId": "string",
    "FeatureConfigurations": {
      "StatePersistence": {
        "Enabled": true|false
      },
      "SharedView": {
        "Enabled": true|false
      },
      "Bookmarks": {
        "Enabled": true|false
      }
    }
  },
  "QuickSightConsole": {
    "InitialPath": "string",
    "FeatureConfigurations": {
      "StatePersistence": {
        "Enabled": true|false
      },
      "SharedView": {
        "Enabled": true|false
      }
    }
  },
  "QSearchBar": {
    "InitialTopicId": "string"
  },
  "DashboardVisual": {
    "InitialDashboardVisualId": {
      "DashboardId": "string",
      "SheetId": "string",
      "VisualId": "string"
    }
  },
  "GenerativeQnA": {
    "InitialTopicId": "string"
  }
}

--allowed-domains (list)

A list of domains to be allowed to generate the embed URL.

(string)

Syntax:

"string" "string" ...

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

  • json
  • text
  • table
  • yaml
  • yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

  • base64
  • raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Output

EmbedUrl -> (string)

The generated embed URL for the registered user.

Status -> (integer)

The HTTP status of the request.

RequestId -> (string)

The Amazon Web Services request ID for this operation.
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