list_experience_entities async ¶

async def list_experience_entities(
    self,
    id: "capo_kendra.types.experience_id.ExperienceId",
    index_id: "capo_kendra.types.index_id.IndexId",
    *,
    config_overrides: Optional[AsynckendraClientConfig] = None,
    next_token: Optional["capo_kendra.types.next_token.NextToken"] = None,
) -> "capo_kendra.types.list_experience_entities_response.ListExperienceEntitiesResponse":
    """<p>Lists users or groups in your IAM Identity Center identity source that are granted access to your Amazon Kendra experience. You can create an Amazon Kendra experience such as a search application. For more information on creating a search application experience, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/deploying-search-experience-no-code.html">Building a search experience with no code</a>.</p>

    Args:
        id: <p>The identifier of your Amazon Kendra experience.</p>
        index_id: <p>The identifier of the index for your Amazon Kendra experience.</p>
        next_token: <p>If the previous response was incomplete (because there is more data to retrieve), Amazon Kendra returns a pagination token in the response. You can use this pagination token to retrieve the next set of users or groups.</p>

    Raises:
        capo_kendra.errors.access_denied_exception.AccessDeniedException: <p>You don't have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.</p>
        capo_kendra.errors.internal_server_exception.InternalServerException: <p>An issue occurred with the internal server used for your Amazon Kendra service. Please wait a few minutes and try again, or contact <a href="http://aws.amazon.com/contact-us/">Support</a> for help.</p>
        capo_kendra.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you want to use doesn’t exist. Please check you have provided the correct resource and try again.</p>
        capo_kendra.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Please reduce the number of requests and try again.</p>
        capo_kendra.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the Amazon Kendra service. Please provide the correct input and try again.</p>
        capo_kendra.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kendra.types.list_experience_entities_request.ListExperienceEntitiesRequest]",
    ) -> AsyncOperationResponse[
        "capo_kendra.types.list_experience_entities_response.ListExperienceEntitiesResponse"
    ]:
        import capo_kendra._operations.aws_kendra_frontend_service.list_experience_entities

        (
            output,
            http_response,
        ) = await capo_kendra._operations.aws_kendra_frontend_service.list_experience_entities.async_list_experience_entities(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_kendra.types.list_experience_entities_response.ListExperienceEntitiesResponse",
    ) -> dict[str, Any]:
        import capo_kendra.types.list_experience_entities_response

        return capo_kendra.types.list_experience_entities_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListExperienceEntities", redact_output=_redact_output),
    )
    input_: capo_kendra.types.list_experience_entities_request.ListExperienceEntitiesRequest = {
        "id": id,
        "index_id": index_id,
    }
    if next_token is not None:
        input_["next_token"] = next_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output