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update_q_personalization_configuration

update_q_personalization_configuration(
    aws_account_id: AwsAccountId,
    personalization_mode: PersonalizationMode,
    *,
    config_overrides: Optional[QuickSightClientConfig] = None,
) -> UpdateQPersonalizationConfigurationResponse

Updates a personalization configuration.

Parameters:

  • aws_account_id (AwsAccountId) –

    The ID of the Amazon Web Services account account that contains the personalization configuration that the user wants to update.

  • personalization_mode (PersonalizationMode) –

    An option to allow Amazon Quick Sight to customize data stories with user specific metadata, specifically location and job information, in your IAM Identity Center instance.

Raises:

Source code in docs_src/capo_quicksight/_services/quick_sight.py
def update_q_personalization_configuration(
    self,
    aws_account_id: "capo_quicksight.types.aws_account_id.AwsAccountId",
    personalization_mode: "capo_quicksight.types.personalization_mode.PersonalizationMode",
    *,
    config_overrides: Optional[QuickSightClientConfig] = None,
) -> "capo_quicksight.types.update_q_personalization_configuration_response.UpdateQPersonalizationConfigurationResponse":
    """<p>Updates a personalization configuration.</p>

    Args:
        aws_account_id: <p>The ID of the Amazon Web Services account account that contains the personalization configuration that the user wants to update.</p>
        personalization_mode: <p>An option to allow Amazon Quick Sight to customize data stories with user specific metadata, specifically location and job information, in your IAM Identity Center instance.</p>

    Raises:
        capo_quicksight.errors.access_denied_exception.AccessDeniedException: <p>You don't have access to this item. The provided credentials couldn't be validated. You might not be authorized to carry out the request. Make sure that your account is authorized to use the Amazon Quick Sight service, that your policies have the correct permissions, and that you are using the correct credentials.</p>
        capo_quicksight.errors.conflict_exception.ConflictException: <p>Updating or deleting a resource can cause an inconsistent state.</p>
        capo_quicksight.errors.internal_failure_exception.InternalFailureException: <p>An internal failure occurred.</p>
        capo_quicksight.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>One or more parameters has a value that isn't valid.</p>
        capo_quicksight.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
        capo_quicksight.errors.resource_unavailable_exception.ResourceUnavailableException: <p>This resource is currently unavailable.</p>
        capo_quicksight.errors.throttling_exception.ThrottlingException: <p>Access is throttled.</p>
        capo_quicksight.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_quicksight.types.update_q_personalization_configuration_request.UpdateQPersonalizationConfigurationRequest]",
    ) -> OperationResponse[
        "capo_quicksight.types.update_q_personalization_configuration_response.UpdateQPersonalizationConfigurationResponse"
    ]:
        import capo_quicksight._operations.quick_sight_20180401.update_q_personalization_configuration

        output, http_response = (
            capo_quicksight._operations.quick_sight_20180401.update_q_personalization_configuration.update_q_personalization_configuration(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateQPersonalizationConfiguration")
    )
    input_: capo_quicksight.types.update_q_personalization_configuration_request.UpdateQPersonalizationConfigurationRequest = {
        "aws_account_id": aws_account_id,
        "personalization_mode": personalization_mode,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output