update_account_preferences ¶

def update_account_preferences(
    self,
    *,
    config_overrides: Optional[chatbotClientConfig] = None,
    user_authorization_required: Optional[
        "capo_chatbot.types.boolean_account_preference.BooleanAccountPreference"
    ] = None,
    training_data_collection_enabled: Optional[
        "capo_chatbot.types.boolean_account_preference.BooleanAccountPreference"
    ] = None,
) -> "capo_chatbot.types.update_account_preferences_result.UpdateAccountPreferencesResult":
    """<p>Updates AWS Chatbot account preferences.</p>

    Args:
        user_authorization_required: <p>Enables use of a user role requirement in your chat configuration.</p>
        training_data_collection_enabled: <p>Turns on training data collection.</p> <p>This helps improve the AWS Chatbot experience by allowing AWS Chatbot to store and use your customer information, such as AWS Chatbot configurations, notifications, user inputs, AWS Chatbot generated responses, and interaction data. This data helps us to continuously improve and develop Artificial Intelligence (AI) technologies. Your data is not shared with any third parties and is protected using sophisticated controls to prevent unauthorized access and misuse. AWS Chatbot does not store or use interactions in chat channels with Amazon Q for training AI technologies for AWS Chatbot. </p>

    Raises:
        capo_chatbot.errors.invalid_parameter_exception.InvalidParameterException: <p>Your request input doesn't meet the constraints required by AWS Chatbot.</p>
        capo_chatbot.errors.invalid_request_exception.InvalidRequestException: <p>Your request input doesn't meet the constraints required by AWS Chatbot.</p>
        capo_chatbot.errors.update_account_preferences_exception.UpdateAccountPreferencesException: <p>We can’t process your request right now because of a server issue. Try again later.</p>
        capo_chatbot.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_chatbot.types.update_account_preferences_request.UpdateAccountPreferencesRequest]",
    ) -> OperationResponse[
        "capo_chatbot.types.update_account_preferences_result.UpdateAccountPreferencesResult"
    ]:
        import capo_chatbot._operations.wheatley_orchestration_20171011.update_account_preferences

        output, http_response = (
            capo_chatbot._operations.wheatley_orchestration_20171011.update_account_preferences.update_account_preferences(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateAccountPreferences")
    )
    input_: capo_chatbot.types.update_account_preferences_request.UpdateAccountPreferencesRequest = {}
    if user_authorization_required is not None:
        input_["user_authorization_required"] = user_authorization_required
    if training_data_collection_enabled is not None:
        input_["training_data_collection_enabled"] = (
            training_data_collection_enabled
        )

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