108 lines
4.8 KiB
TypeScript
108 lines
4.8 KiB
TypeScript
/*****************************************************************************\
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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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| (_) \___/' |
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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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| 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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"use strict";
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import { CSService } from "../services/CSService";
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import { AzureText } from "pragmatismo-io-framework";
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import { GBMinInstance } from "botlib";
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import { IGBDialog } from "botlib";
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import { BotAdapter } from "botbuilder";
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import { Messages } from "../strings";
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import { WaterfallDialog } from "botbuilder-dialogs";
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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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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("/feedbackNumber", [
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async step => {
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let locale = step.context.activity.locale;
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// TODO: Migrate to 4.*+ await step.prompt("choicePrompt", Messages[locale].what_about_me, [
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// "1",
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// "2",
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// "3",
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// "4",
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// "5"
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// ]);
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return await step.next();
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},
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async step => {
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let locale = step.context.activity.locale;
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let rate = step.result.entity;
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const user = await min.userProfile.get(context, {});
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await service.updateConversationRate(user.conversation, rate);
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await step.context.sendActivity(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(new WaterfallDialog("/feedback", [
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async step => {
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let locale = step.context.activity.locale;
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if (step.result.fromMenu) {
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await step.context.sendActivity(Messages[locale].about_suggestions);
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}
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await step.prompt("textPrompt", Messages[locale].what_about_service);
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return await step.next();
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},
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async step => {
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let locale = step.context.activity.locale;
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let rate = await AzureText.getSentiment(
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min.instance.textAnalyticsKey,
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min.instance.textAnalyticsEndpoint,
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min.conversationalService.getCurrentLanguage(step),
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step.result
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);
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if (rate > 0.5) {
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await step.context.sendActivity(Messages[locale].glad_you_liked);
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} else {
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await step.context.sendActivity(Messages[locale].we_will_improve);
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// TODO: Record.
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}
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await step.replaceDialog("/ask", { isReturning: true });
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return await step.next();
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}
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]));
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}
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}
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