172 lines
7 KiB
TypeScript
172 lines
7 KiB
TypeScript
/*****************************************************************************\
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| ( )_ _ |
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| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
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| ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' v `\ /'_`\ |
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| | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| (˅) |( (_) ) |
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| | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' |
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| | | ( )_) | |
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| (_) \___/' |
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| General Bots Copyright (c) Pragmatismo.io. All rights reserved. |
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| Licensed under the AGPL-3.0. |
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| |
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| According to our dual licensing model, this program can be used either |
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| under the terms of the GNU Affero General Public License, version 3, |
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| or under a proprietary license. |
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| |
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| The texts of the GNU Affero General Public License with an additional |
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| permission and of our proprietary license can be found at and |
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| in the LICENSE file you have received along with this program. |
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| |
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| This program is distributed in the hope that it will be useful, |
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| but WITHOUT ANY WARRANTY, without even the implied warranty of |
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| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| GNU Affero General Public License for more details. |
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| |
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| "General Bots" is a registered trademark of Pragmatismo.io. |
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| The licensing of the program under the AGPLv3 does not imply a |
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| trademark license. Therefore any rights, title and interest in |
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| our trademarks remain entirely with us. |
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| |
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\*****************************************************************************/
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/**
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* @fileoverview General Bots server core.
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*/
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'use strict';
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import { BotAdapter } from 'botbuilder';
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import { WaterfallDialog } from 'botbuilder-dialogs';
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import { GBMinInstance, IGBDialog } from 'botlib';
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import { AzureText } from 'pragmatismo-io-framework';
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import { CSService } from '../services/CSService';
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import { Messages } from '../strings';
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import { SecService } from '../../security.gbapp/services/SecService';
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import { GBServer } from '../../../src/app';
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import { AnalyticsService } from '../../analytics.gblib/services/AnalyticsService';
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/**
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* Dialog for feedback collecting.
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*/
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export class FeedbackDialog extends IGBDialog {
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/**
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* Setup dialogs flows and define services call.
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*
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* @param bot The bot adapter.
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* @param min The minimal bot instance data.
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*/
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public static setup(bot: BotAdapter, min: GBMinInstance) {
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const service = new CSService();
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min.dialogs.add(
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new WaterfallDialog('/pleaseNoBadWords', [
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async step => {
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const locale = step.context.activity.locale;
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await min.conversationalService.sendText(min, step, Messages[locale].please_no_bad_words);
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return await step.next();
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}
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])
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);
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min.dialogs.add(
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new WaterfallDialog('/t', [
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async step => {
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const locale = step.context.activity.locale;
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let sec = new SecService();
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let from = step.context.activity.from.id;
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await min.conversationalService.sendText(min, step, Messages[locale].please_wait_transfering);
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let agentSystemId = await sec.assignHumanAgent(from, min.instance.instanceId);
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await min.whatsAppDirectLine.sendToDevice(agentSystemId,
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Messages[locale].notify_agent(step.context.activity.from.name));
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return await step.next();
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}
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])
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);
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min.dialogs.add(
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new WaterfallDialog('/qt', [
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async step => {
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const locale = step.context.activity.locale;
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let sec = new SecService();
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let from = step.context.activity.from.id;
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await sec.updateCurrentAgent(from, min.instance.instanceId, null);
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await min.conversationalService.sendText(min, step, Messages[locale].notify_end_transfer(min.instance.botId));
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return await step.next();
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}
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])
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);
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min.dialogs.add(
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new WaterfallDialog('/feedbackNumber', [
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async step => {
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const locale = step.context.activity.locale;
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return await step.next();
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},
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async step => {
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const locale = step.context.activity.locale;
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const rate = step.result.entity;
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const user = await min.userProfile.get(step.context, {});
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await service.updateConversationRate(user.conversation, rate);
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await min.conversationalService.sendText(min, step, Messages[locale].thanks);
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return await step.next();
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}
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])
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);
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min.dialogs.add(
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new WaterfallDialog('/feedback', [
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async step => {
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const locale = step.context.activity.locale;
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await min.conversationalService.sendText(min, step, Messages[locale].about_suggestions);
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step.activeDialog.state.cbId = (step.options as any).id;
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return await min.conversationalService.prompt(min, step, Messages[locale].what_about_service);
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},
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async step => {
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const minBoot = GBServer.globals.minBoot as any;
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const user = await min.userProfile.get(step.context, {});
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const rate = await AzureText.getSentiment(
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minBoot.instance.textAnalyticsKey ? minBoot.instance.textAnalyticsKey : minBoot.instance.textAnalyticsKey,
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minBoot.instance.textAnalyticsEndpoint ? minBoot.instance.textAnalyticsEndpoint : minBoot.instance.textAnalyticsEndpoint,
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user.systemUser.locale,
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step.result
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);
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// Updates values to perform Bot Analytics.
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// const analytics = new AnalyticsService();
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// analytics.updateConversationRate(min.instance.instanceId, user.conversation, rate);
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const fixedLocale = 'en-US';
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if (rate > 0.5) {
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await min.conversationalService.sendText(min, step, Messages[fixedLocale].glad_you_liked);
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} else {
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const message = min.core.getParam<string>(min.instance, "Feedback Improve Message",
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Messages[fixedLocale].we_will_improve); // TODO: Improve to be multi-language.
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await min.conversationalService.sendText(min, step, message);
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}
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return await step.replaceDialog('/ask', { isReturning: true });
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}
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])
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);
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}
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}
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