botserver/deploy/customer-satisfaction.gbapp/dialogs/FeedbackDialog.ts

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/*****************************************************************************\
| ( )_ _ |
| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
| ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ |
| | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) ) |
| | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' |
| | | ( )_) | |
| (_) \___/' |
| |
| General Bots Copyright (c) Pragmatismo.io. All rights reserved. |
| Licensed under the AGPL-3.0. |
| |
| According to our dual licensing model, this program can be used either |
| under the terms of the GNU Affero General Public License, version 3, |
| or under a proprietary license. |
| |
| The texts of the GNU Affero General Public License with an additional |
| permission and of our proprietary license can be found at and |
| in the LICENSE file you have received along with this program. |
| |
| This program is distributed in the hope that it will be useful, |
| but WITHOUT ANY WARRANTY; without even the implied warranty of |
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| GNU Affero General Public License for more details. |
| |
| "General Bots" is a registered trademark of Pragmatismo.io. |
| The licensing of the program under the AGPLv3 does not imply a |
| trademark license. Therefore any rights, title and interest in |
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\*****************************************************************************/
"use strict";
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import { CSService } from '../services/CSService';
import { AzureText } from "pragmatismo-io-framework";
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import { GBMinInstance } from "botlib";
import { IGBDialog } from "botlib";
import { BotAdapter } from 'botbuilder';
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export class FeedbackDialog extends IGBDialog {
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/**
* Setup dialogs flows and define services call.
*
* @param bot The bot adapter.
* @param min The minimal bot instance data.
*/
static setup(bot: BotAdapter, min: GBMinInstance) {
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const service = new CSService();
min.dialogs.add("/feedbackNumber", [
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async (dc) => {
let messages = [
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"O que achou do meu atendimento, de 1 a 5?",
"Qual a nota do meu atendimento?",
"Como define meu atendimento numa escala de 1 a 5?"
];
await dc.prompt('choicePrompt', messages[0], ['1', '2', '3', '4', ' 5']);
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},
async (dc, value) => {
let rate = value.entity;
const user = min.userState.get(dc.context);
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await service.updateConversationRate(user.conversation, rate);
let messages = ["Obrigado!", "Obrigado por responder."];
await dc.context.sendActivity(messages[0]); // TODO: Handle rnd.
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}
]);
min.dialogs.add("/feedback", [
async (dc, args) => {
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if (args && args.fromMenu) {
let messages = [
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"Sugestões melhoram muito minha qualidade...",
"Obrigado pela sua iniciativa de sugestão."
];
await dc.context.sendActivity(messages[0]); // TODO: Handle rnd.
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}
let messages = [
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"O que achou do meu atendimento?",
"Como foi meu atendimento?",
"Gostaria de dizer algo sobre meu atendimento?"
];
await dc.prompt('textPrompt', messages[0]);
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},
async (dc, value) => {
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let rate = await AzureText.getSentiment(min.instance.textAnalyticsKey, "pt-br", value);
if (rate > 0) {
await dc.context.sendActivity("Bom saber que você gostou. Conte comigo.");
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} else {
await dc.context.sendActivity(
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"Vamos registrar sua questão, obrigado pela sinceridade."
);
}
await dc.replace('/ask', { isReturning: true });
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}]);
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}
}