103 lines
4.7 KiB
TypeScript
103 lines
4.7 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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| 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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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("/feedbackNumber", [
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async (dc) => {
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let messages = [
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"O que achou do meu atendimento, de 1 a 5?",
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"Qual a nota do meu atendimento?",
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"Como define meu atendimento numa escala de 1 a 5?"
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]
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await dc.prompt('choicePrompt', messages[0], ['1', '2', '3', '4', ' 5'])
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},
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async (dc, value) => {
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let rate = value.entity
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const user = min.userState.get(dc.context)
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await service.updateConversationRate(user.conversation, rate)
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let messages = ["Obrigado!", "Obrigado por responder."]
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await dc.context.sendActivity(messages[0]) // TODO: Handle rnd.
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}
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])
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min.dialogs.add("/feedback", [
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async (dc, args) => {
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if (args && args.fromMenu) {
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let messages = [
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"Sugestões melhoram muito minha qualidade...",
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"Obrigado pela sua iniciativa de sugestão."
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]
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await dc.context.sendActivity(messages[0]) // TODO: Handle rnd.
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}
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let messages = [
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"O que achou do meu atendimento?",
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"Como foi meu atendimento?",
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"Gostaria de dizer algo sobre meu atendimento?"
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]
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await dc.prompt('textPrompt', messages[0])
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},
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async (dc, value) => {
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let rate = await AzureText.getSentiment(min.instance.textAnalyticsKey,
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min.instance.textAnalyticsServerUrl,
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min.conversationalService.getCurrentLanguage(dc), value)
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if (rate > 0) {
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await dc.context.sendActivity("Bom saber que você gostou. Conte comigo.")
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} else {
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await dc.context.sendActivity(
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"Vamos registrar sua questão, obrigado pela sinceridade."
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)
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}
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await dc.replace('/ask', { isReturning: true })
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}])
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}
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}
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