/*****************************************************************************\ | ( )_ _ | | _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ | | ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ | | | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) ) | | | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' | | | | ( )_) | | | (_) \___/' | | | | 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 | | our trademarks remain entirely with us. | | | \*****************************************************************************/ "use strict"; import { IGBDialog } from "botlib"; import { AzureText } from "pragmatismo-io-framework"; import { GBMinInstance } from "botlib"; import { KBService } from './../services/KBService'; import { BotAdapter } from "botbuilder"; import { LuisRecognizer } from "botbuilder-ai"; const logger = require("../../../src/logger"); export class AskDialog extends IGBDialog { /** * 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) { const service = new KBService(min.core.sequelize); const model = new LuisRecognizer({ appId: min.instance.nlpAppId, subscriptionKey: min.instance.nlpSubscriptionKey, serviceEndpoint: min.instance.nlpServerUrl }); min.dialogs.add("/answer", [ async (dc, args) => { // Initialize values. const user = min.userState.get(dc.context); let text = args.query; if (!text) { throw new Error(`/answer being called with no args.query text.`) } // Stops any content on projector. await min.conversationalService.sendEvent(dc, "stop", null); // Handle extra text from FAQ. if (args && args.query) { text = args.query; } else if (args && args.fromFaq) { let messages = [ `Ótima escolha, procurando resposta para sua questão...`, `Pesquisando sobre o termo...`, `Aguarde, por favor, enquanto acho sua resposta...` ]; await dc.context.sendActivity(messages[0]); // TODO: Handle rnd. } // Spells check the input text before sending Search or NLP. if (min.instance.spellcheckerKey) { let data = await AzureText.getSpelledText( min.instance.spellcheckerKey, text); if (data != text) { logger.info(`Spelling corrected: ${data}`); text = data; } } // Searches KB for the first time. user.lastQuestion = text; let resultsA = await service.ask( min.instance, text, min.instance.searchScore, user.subjects); // If there is some result, answer immediately. if (resultsA && resultsA.answer) { // Saves some context info. user.isAsking = false; user.lastQuestionId = resultsA.questionId; // Sends the answer to all outputs, including projector. await service.sendAnswer(min.conversationalService, dc, resultsA.answer); // Goes to ask loop, again. dc.replace("/ask", { isReturning: true }); } else { // Second time running Search, now with no filter. let resultsB = await service.ask(min.instance, text, min.instance.searchScore, null); // If there is some result, answer immediately. if (resultsB && resultsB.answer) { // Saves some context info. const user = min.userState.get(dc.context); user.isAsking = false; user.lastQuestionId = resultsB.questionId; // Informs user that a broader search will be used. if (user.subjects.length > 0) { let subjectText = `${KBService.getSubjectItemsSeparatedBySpaces( user.subjects )}`; let messages = [ `Respondendo nao apenas sobre ${subjectText}... `, `Respondendo de modo mais abrangente...`, `Vou te responder de modo mais abrangente... Não apenas sobre ${subjectText}` ]; await dc.context.sendActivity(messages[0]); // TODO: Handle rnd. } // Sends the answer to all outputs, including projector. await service.sendAnswer(min.conversationalService, dc, resultsB.answer); await dc.replace("/ask", { isReturning: true }); } else { let data = await min.conversationalService.runNLP(dc, min, text); if (!data) { let messages = [ "Desculpe-me, não encontrei nada a respeito.", "Lamento... Não encontrei nada sobre isso. Vamos tentar novamente?", "Desculpe-me, não achei nada parecido. Poderia tentar escrever de outra forma?" ]; dc.context.sendActivity(messages[0]); // TODO: Handle rnd. dc.replace("/ask", { isReturning: true }); } } } } ]); min.dialogs.add("/ask", [ async (dc, args) => { const user = min.userState.get(dc.context); user.isAsking = true; if (!user.subjects) { user.subjects = []; } let text = []; if (user.subjects.length > 0) { text = [ `Faça sua pergunta...`, `Pode perguntar sobre o assunto em questão... `, `Qual a pergunta?` ]; } if (args && args.isReturning) { text = [ "Sobre o que mais posso ajudar?", "Então, posso ajudar em algo a mais?", "Deseja fazer outra pergunta?" ]; } if (text.length > 0) { await dc.prompt('textPrompt', text[0]); } }, async (dc, value) => { dc.endAll(); dc.begin("/answer", { query: value }); } ]); } }