108 lines
5.1 KiB
TypeScript
108 lines
5.1 KiB
TypeScript
/*****************************************************************************\
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| General Bots Copyright (c) pragmatismo.cloud. All rights reserved. |
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| Licensed under the AGPL-3.0. |
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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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| 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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| "General Bots" is a registered trademark of pragmatismo.cloud. |
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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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* @fileoverview General Bots server core.
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*/
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'use strict';
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import { GBMinInstance, IGBDialog } from 'botlib';
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import { BotAdapter } from 'botbuilder';
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import { WaterfallDialog } from 'botbuilder-dialogs';
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import { AnalyticsService } from '../../analytics.gblib/services/AnalyticsService.js';
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import { CSService } from '../services/CSService.js';
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import { Messages } from '../strings.js';
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/**
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* Dialog for collecting quality of answer.
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*/
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export class QualityDialog 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('/check', [
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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].check_whatsapp_ok);
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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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min.dialogs.add(
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new WaterfallDialog('/quality', [
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async step => {
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const locale = step.context.activity.locale;
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const user = await min.userProfile.get(step.context, {});
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const score = step.result;
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if (score === 0) {
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await min.conversationalService.sendText(min, step, Messages[locale].im_sorry_lets_try);
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return await step.next();
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} else {
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await min.conversationalService.sendText(min, step, Messages[locale].great_thanks);
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await min.conversationalService.sendEvent(min, step, 'play', {
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playerType: 'markdown',
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data: {
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content: Messages[locale].great_thanks
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}
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});
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await service.insertQuestionAlternate(min.instance.instanceId, user.lastQuestion, user.lastQuestionId);
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// Updates values to perform Bot Analytics.
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if (process.env.PRIVACY_STORE_MESSAGES === 'true') {
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const analytics = new AnalyticsService();
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analytics.updateConversationSuggestion(
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min.instance.instanceId,
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user.conversation,
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step.result,
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user.locale
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);
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}
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// Goes to the ask loop.
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return await step.replaceDialog('/ask', { emptyPrompt: 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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}
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