/*****************************************************************************\ | ( )_ _ | | _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ | | ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ | | | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) ) | | | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' | | | | ( )_) | | | (_) \___/' | | | | 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 UrlJoin = require("url-join"); const gBuilder = require("botbuilder"); const logger = require("../../../src/logger"); import { GBConfigService } from "./GBConfigService"; import { GBCoreService } from "./GBCoreService"; import { GBService, GBServiceCallback, IGBConversationalService } from "botlib"; import { GBError } from "botlib"; import { GBERROR_TYPE } from "botlib"; import { GBMinInstance } from "botlib"; import { LuisRecognizer } from "botbuilder-ai"; import {MessageFactory} from "botbuilder"; export class GBConversationalService implements IGBConversationalService { coreService: GBCoreService; constructor(coreService: GBCoreService) { this.coreService = coreService; } sendEvent(dc: any, name: string, value: any) { const msg = MessageFactory.text(''); msg.value = value; msg.type = "event"; msg.name = name; dc.context.sendActivity(msg); } async runNLP( dc: any, min: GBMinInstance, text: string, cb: GBServiceCallback ) { const model = new LuisRecognizer({ appId: min.instance.nlpAppId, subscriptionKey: min.instance.nlpSubscriptionKey, serviceEndpoint: min.instance.nlpServerUrl }); await model.recognize(dc.context).then(res => { // Resolve 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 { dc.replace("/" + intent); } catch (error) { logger.info("error: intent: [" + intent + "] error: [" + error + "]"); dc.context.sendActivity("Desculpe-me, não encontrei nada a respeito..."); dc.replace("/ask", { isReturning: true }); } cb({ intent, entities: res.entities }, null); } else { dc.context.sendActivity("Lamento, não achei nada a respeito..."); dc.replace("/ask", { isReturning: true }); cb(null, null); } } ).catch(err => { cb(null, new GBError(err, GBERROR_TYPE.nlpGeneralError)); }); } }