110 lines
4.2 KiB
TypeScript
110 lines
4.2 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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| |
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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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const logger = require("../../../src/logger");
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import { GBCoreService } from "./GBCoreService";
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import { IGBConversationalService } from "botlib";
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import { GBError } from "botlib";
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import { GBERROR_TYPE } from "botlib";
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import { GBMinInstance } from "botlib";
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import { LuisRecognizer } from "botbuilder-ai";
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import { MessageFactory } from "botbuilder";
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import { resolve } from "bluebird";
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export class GBConversationalService implements IGBConversationalService {
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coreService: GBCoreService;
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constructor(coreService: GBCoreService) {
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this.coreService = coreService;
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}
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async sendEvent(dc: any, name: string, value: any) {
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const msg = MessageFactory.text('');
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msg.value = value;
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msg.type = "event";
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msg.name = name;
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return dc.context.sendActivity(msg);
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}
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async runNLP(
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dc: any,
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min: GBMinInstance,
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text: string
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): Promise<any> {
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const model = new LuisRecognizer({
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appId: min.instance.nlpAppId,
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subscriptionKey: min.instance.nlpSubscriptionKey,
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serviceEndpoint: min.instance.nlpServerUrl
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});
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return await model.recognize(dc.context).then(res => {
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// Resolve intents returned from LUIS
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let topIntent = LuisRecognizer.topIntent(res);
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if (topIntent) {
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var intent = topIntent;
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var entity =
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res.entities && res.entities.length > 0
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? res.entities[0].entity.toUpperCase()
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: null;
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logger.info(
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"luis: intent: [" + intent + "] entity: [" + entity + "]"
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);
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try {
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dc.replace("/" + intent);
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} catch (error) {
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logger.info("error: intent: [" + intent + "] error: [" + error + "]");
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dc.context.sendActivity("Desculpe-me, não encontrei nada a respeito...");
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dc.replace("/ask", { isReturning: true });
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}
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return Promise.resolve({ intent, entities: res.entities });
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} else {
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dc.context.sendActivity("Lamento, não achei nada a respeito...");
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dc.replace("/ask", { isReturning: true });
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resolve(null);
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}
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}
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).catch(err => {
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return Promise.reject(new GBError(err, GBERROR_TYPE.nlpGeneralError));
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});
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}
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}
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