/*****************************************************************************\ | ( )_ _ | | _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ | | ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ | | | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) ) | | | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' | | | | ( )_) | | | (_) \___/' | | | | 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" const logger = require("../../../src/logger") import { GBCoreService } from "./GBCoreService" import { IGBConversationalService } from "botlib" import { GBMinInstance } from "botlib" import { LuisRecognizer } from "botbuilder-ai" import { MessageFactory } from "botbuilder" export interface LanguagePickerSettings { defaultLocale?: string supportedLocales?: string[] } export class GBConversationalService implements IGBConversationalService { coreService: GBCoreService constructor(coreService: GBCoreService) { this.coreService = coreService } getCurrentLanguage(dc: any) { return dc.context.activity.locale } async sendEvent(dc: any, name: string, value: any): Promise { const msg = MessageFactory.text("") msg.value = value msg.type = "event" msg.name = name return dc.context.sendActivity(msg) } async runNLP(dc: any, min: GBMinInstance, text: string): Promise { // Invokes LUIS. const model = new LuisRecognizer({ appId: min.instance.nlpAppId, subscriptionKey: min.instance.nlpSubscriptionKey, serviceEndpoint: min.instance.nlpServerUrl }) let res = await model.recognize(dc.context) // Resolves intents returned from LUIS. let topIntent = LuisRecognizer.topIntent(res) if (topIntent) { var intent = topIntent var entity = res.entities && res.entities.length > 0 ? res.entities[0].entity.toUpperCase() : null logger.info("luis: intent: [" + intent + "] entity: [" + entity + "]") try { await dc.replace("/" + intent) } catch (error) { logger.info("error: intent: [" + intent + "] error: [" + error + "]") await dc.context.sendActivity( "Desculpe-me, não encontrei nada a respeito..." ) await dc.replace("/ask", { isReturning: true }) } return Promise.resolve({ intent, entities: res.entities }) } else { await dc.context.sendActivity("Lamento, não achei nada a respeito...") await dc.replace("/ask", { isReturning: true }) return Promise.resolve(null) } } }