862 lines
28 KiB
TypeScript
862 lines
28 KiB
TypeScript
/*****************************************************************************\
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| ( )_ _ |
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| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
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| ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' v `\ /'_`\ |
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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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\*****************************************************************************/
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/**
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* @fileoverview Knowledge base services and logic.
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*/
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const Path = require('path');
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const Fs = require('fs');
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const urlJoin = require('url-join');
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const path = require('path');
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const asyncPromise = require('async-promises');
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const walkPromise = require('walk-promise');
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// tslint:disable-next-line:newline-per-chained-call
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const { SearchService } = require('azure-search-client');
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const Excel = require('exceljs');
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const getSlug = require('speakingurl');
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import { GBServer } from '../../../src/app';
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import {
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GBDialogStep,
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GBLog,
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GBMinInstance,
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IGBConversationalService,
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IGBCoreService,
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IGBInstance,
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IGBKBService
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} from 'botlib';
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import { CollectionUtil } from 'pragmatismo-io-framework';
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import { Op } from 'sequelize';
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import { Sequelize } from 'sequelize-typescript';
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import { AzureDeployerService } from '../../azuredeployer.gbapp/services/AzureDeployerService';
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import { GuaribasPackage } from '../../core.gbapp/models/GBModel';
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import { GBDeployer } from '../../core.gbapp/services/GBDeployer';
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import { CSService } from '../../customer-satisfaction.gbapp/services/CSService';
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import { GuaribasAnswer, GuaribasQuestion, GuaribasSubject } from '../models';
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import { GBConfigService } from './../../core.gbapp/services/GBConfigService';
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const request = require('request-promise-native');
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const textract = require('textract');
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const pdf = require("pdf-extraction");
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/**
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* Result for quey on KB data.
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*/
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export class KBServiceSearchResults {
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public answer: GuaribasAnswer;
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public questionId: number;
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}
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/**
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* All services related to knowledge base management.
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*/
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export class KBService implements IGBKBService {
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public sequelize: Sequelize;
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constructor(sequelize: Sequelize) {
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this.sequelize = sequelize;
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}
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public static getFormattedSubjectItems(subjects: GuaribasSubject[]) {
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if (subjects === null) {
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return '';
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}
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const out = [];
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subjects.forEach(subject => {
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out.push(subject.title);
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});
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return out.join(', ');
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}
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public static getSubjectItemsSeparatedBySpaces(subjects: GuaribasSubject[]) {
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const out = [];
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if (subjects === undefined) {
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return '';
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}
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subjects.forEach(subject => {
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out.push(subject.internalId);
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});
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return out.join(' ');
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}
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public async getAnswerTextByMediaName(instanceId: number, answerMediaName: string): Promise<string> {
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const answer = await GuaribasAnswer.findOne({
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where: {
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instanceId: instanceId,
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media: answerMediaName
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}
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});
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return answer != undefined ? answer.content : null;
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}
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public async getQuestionById(instanceId: number, questionId: number): Promise<GuaribasQuestion> {
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return GuaribasQuestion.findOne({
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where: {
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instanceId: instanceId,
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questionId: questionId
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}
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});
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}
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public async getAnswerById(instanceId: number, answerId: number): Promise<GuaribasAnswer> {
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return GuaribasAnswer.findOne({
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where: {
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instanceId: instanceId,
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answerId: answerId
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}
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});
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}
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/**
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* Returns a question object given a SEO friendly URL.
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*/
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public async getQuestionIdFromURL(core: IGBCoreService, url: string) {
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// Extracts questionId from URL.
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const id = url.substr(url.lastIndexOf('-') + 1);
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// Extracts botId from URL.
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let path = /(http[s]?:\/\/)?([^\/\s]+\/)(.*)/gi;
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const botId = url.replace(path, ($0, $1, $2, $3) => {
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return $3.substr($3.indexOf('/'));
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});
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// Finds the associated question.
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const instance = await core.loadInstanceByBotId(botId);
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const question = await GuaribasQuestion.findAll({
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where: {
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instanceId: instance.instanceId,
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questionId: id
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}
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});
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return question;
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}
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public static async getQuestionsNER(instanceId: number) {
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const where = {
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instanceId: instanceId,
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content: { [Op.like]: `%(%` }
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};
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const questions = await GuaribasQuestion.findAll({
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where: where
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});
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return questions;
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}
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public async getQuestionsSEO(instanceId: number) {
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const questions = await GuaribasQuestion.findAll({
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where: {
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instanceId: instanceId
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}
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});
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let output = [];
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for (let i = 0; i < questions.length; i++) {
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const answer = questions[i];
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const text = getSlug(answer.content);
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let url = `${text}-${i}`;
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output.push(url);
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}
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return output;
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}
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public async getDocs(instanceId: number) {
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return await GuaribasAnswer.findAll({
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where: {
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instanceId: instanceId,
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format: '.docx'
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}
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});
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}
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public async getAnswerByText(instanceId: number, text: string, from: string = null): Promise<any> {
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text = text.trim();
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const service = new CSService();
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let question = await service.getQuestionFromAlternateText(instanceId, text);
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if (!question) {
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const where = {
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instanceId: instanceId,
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content: { [Op.like]: `%[^a-z]${text}[^a-z]%` }
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};
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if (from) {
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where['from'] = from;
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}
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question = await GuaribasQuestion.findOne({
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where: where
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});
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}
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if (!question) {
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// TODO: Solve this compilation error.
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// question = await GuaribasQuestion.findOne({
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// where: {
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// instanceId: instanceId,
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// content: { [Op.eq]: `${text}` }
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// }
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// });
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}
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if (question !== null) {
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const answer = await GuaribasAnswer.findOne({
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where: {
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instanceId: instanceId,
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answerId: question.answerId
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}
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});
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return { question: question, answer: answer };
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}
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return undefined;
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}
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public async addAnswer(obj: GuaribasAnswer): Promise<GuaribasAnswer> {
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return await GuaribasAnswer.create(obj);
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}
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public async ask(
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instance: IGBInstance,
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query: string,
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searchScore: number,
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subjects: GuaribasSubject[]
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): Promise<KBServiceSearchResults> {
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// Builds search query.
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query = query.toLowerCase();
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query = query.replace('?', ' ');
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query = query.replace('!', ' ');
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query = query.replace('.', ' ');
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query = query.replace('/', ' ');
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query = query.replace('\\', ' ');
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query = query.replace('\r\n', ' ');
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// Try simple search first.
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const data = await this.getAnswerByText(instance.instanceId, query.trim());
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if (data) {
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GBLog.info(`Simple SEARCH called.`);
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return { answer: data.answer, questionId: data.question.questionId };
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}
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if (subjects !== null) {
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const text = KBService.getSubjectItemsSeparatedBySpaces(subjects);
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if (text !== null) {
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query = `${query} ${text}`;
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}
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}
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// No direct match found, so Search is used.
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if (instance.searchKey !== null && GBConfigService.get('STORAGE_DIALECT') === 'mssql') {
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const client = new SearchService(instance.searchHost.split('.')[0], instance.searchKey);
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const results = await client.indexes.use('azuresql-index').search({
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count: true,
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filter: `instanceId eq ${instance.instanceId} and skipIndex eq false`,
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search: query,
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searchFields: 'content, subject1, subject2, subject3, subject4',
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select: 'instanceId, questionId, answerId',
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skip: 0,
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top: 1,
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});
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const values = results.result.value;
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let returnedScore = 0;
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// Searches via Search (Azure Search).
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if (values && values.length > 0) {
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returnedScore = values[0]['@search.score'];
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if (returnedScore >= searchScore) {
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const value = await this.getAnswerById(instance.instanceId, values[0].answerId);
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if (value !== null) {
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GBLog.info(
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`SEARCH WILL BE USED with score: ${returnedScore} > required (searchScore): ${searchScore}`
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);
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return { answer: value, questionId: values[0].questionId };
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} else {
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GBLog.info(
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`SEARCH WILL NOT be used as answerId ${values[0].answerId} was not found in database,
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returnedScore: ${returnedScore} < required (searchScore): ${searchScore}`
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);
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return { answer: undefined, questionId: 0 };
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}
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} else {
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GBLog.info(
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`SEARCH called but returned LOW level score,
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returnedScore: ${returnedScore} < required (searchScore): ${searchScore}`
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);
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return { answer: undefined, questionId: 0 };
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}
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} else {
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GBLog.info(
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`SEARCH called but NO answer could be found (zero results).`
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);
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return { answer: undefined, questionId: 0 };
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}
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}
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}
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public async getSubjectItems(instanceId: number, parentId: number): Promise<GuaribasSubject[]> {
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const where = { parentSubjectId: parentId, instanceId: instanceId };
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return GuaribasSubject.findAll({
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where: where
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});
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}
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public async getFaqBySubjectArray(instanceId: number, from: string, subjects: any): Promise<GuaribasQuestion[]> {
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if (subjects) {
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const where = {
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from: from,
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// tslint:disable-next-line: no-null-keyword
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subject1: null,
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// tslint:disable-next-line: no-null-keyword
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subject2: null,
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// tslint:disable-next-line: no-null-keyword
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subject3: null,
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// tslint:disable-next-line: no-null-keyword
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subject4: null,
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// tslint:disable-next-line: no-null-keyword
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instanceId: instanceId
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};
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if (subjects[0] && subjects[0].internalId) {
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where.subject1 = subjects[0].internalId;
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}
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if (subjects[1] && subjects[1].internalId) {
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where.subject2 = subjects[1].internalId;
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}
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if (subjects[2] && subjects[2].internalId) {
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where.subject3 = subjects[2].internalId;
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}
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if (subjects[3] && subjects[3].internalId) {
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where.subject4 = subjects[3].internalId;
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}
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return await GuaribasQuestion.findAll({
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where: where
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});
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} else {
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return await GuaribasQuestion.findAll({
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where: { from: from, instanceId: instanceId }
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});
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}
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}
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public static async getGroupReplies(instanceId: number): Promise<GuaribasQuestion[]> {
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return await GuaribasQuestion.findAll({
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where: { from: 'group', instanceId: instanceId }
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});
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}
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public async importKbTabularFile(
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filePath: string,
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instanceId: number,
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packageId: number
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): Promise<GuaribasQuestion[]> {
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GBLog.info(`Now reading file ${filePath}...`);
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const workbook = new Excel.Workbook();
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const data = await workbook.xlsx.readFile(filePath);
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let lastQuestionId: number;
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let lastAnswer: GuaribasAnswer;
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// Finds a valid worksheet because Excel returns empty slots
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// when loading worksheets collection.
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let worksheet: any;
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for (let t = 0; t < data._worksheets.length; t++) {
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worksheet = data._worksheets[t];
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if (worksheet) {
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break;
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}
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}
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const rows = worksheet._rows;
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const answers = [];
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const questions = [];
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GBLog.info(`Processing ${rows.length} rows from tabular file ${filePath}...`);
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await asyncPromise.eachSeries(rows, async line => {
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// Skips the first line.
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if (
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line != undefined &&
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line._cells[0] !== undefined &&
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line._cells[1] !== undefined &&
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line._cells[2] !== undefined &&
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line._cells[3] !== undefined &&
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line._cells[4] !== undefined
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) {
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// Extracts values from columns in the current line.
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const subjectsText = line._cells[0].text;
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const from = line._cells[1].text;
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const to = line._cells[2].text;
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const question = line._cells[3].text.trim();
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let answer = line._cells[4].text.trim();
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if (!(subjectsText === 'subjects' && from === 'from') && answer !== null && question !== null &&
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answer !== '' && question !== '') {
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let format = '.txt';
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// Extracts answer from external media if any.
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let media = null;
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if (typeof answer !== 'string') {
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GBLog.info(`[GBImporter] Answer is NULL related to Question '${question}'.`);
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answer =
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'Existe um problema na base de conhecimento. Fui treinado para entender sua pergunta, avise a quem me criou que a resposta não foi informada para esta pergunta.';
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} else if (answer.indexOf('.md') > -1 || answer.indexOf('.docx') > -1) {
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const mediaFilename = urlJoin(path.dirname(filePath), '..', 'articles', answer);
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if (Fs.existsSync(mediaFilename)) {
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// TODO: Convert DOCX to MD.
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answer = Fs.readFileSync(mediaFilename, 'utf8');
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format = '.md';
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media = path.basename(mediaFilename);
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} else {
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GBLog.info(`[GBImporter] File not found: ${mediaFilename}.`);
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answer = '';
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}
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}
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// Processes subjects hierarchy splitting by dots.
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const subjectArray = subjectsText.split('.');
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let subject1: string;
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let subject2: string;
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let subject3: string;
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let subject4: string;
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let indexer = 0;
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subjectArray.forEach(element => {
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if (indexer === 0) {
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subject1 = subjectArray[indexer].substring(0, 63);
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} else if (indexer === 1) {
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subject2 = subjectArray[indexer].substring(0, 63);
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} else if (indexer === 2) {
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subject3 = subjectArray[indexer].substring(0, 63);
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} else if (indexer === 3) {
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subject4 = subjectArray[indexer].substring(0, 63);
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}
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indexer++;
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});
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// Skips blank answers.
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if (answer && answer.trim() === '') {
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return false;
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}
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// Now with all the data ready, creates entities in the store.
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const answer1 = {
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instanceId: instanceId,
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content: answer,
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format: format,
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media: media,
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packageId: packageId,
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prevId: lastQuestionId !== null ? lastQuestionId : 0
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};
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answers.push(answer1);
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const question1 = {
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from: from,
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to: to,
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subject1: subject1,
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subject2: subject2,
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subject3: subject3,
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subject4: subject4,
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content: question.replace(/["]+/g, ''),
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instanceId: instanceId,
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skipIndex: (question.charAt(0) === "\""),
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packageId: packageId
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};
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questions.push(question1);
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// TODO: Tutorial. if (lastAnswer !== undefined && lastQuestionId !== 0) {
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// await lastAnswer.update({ nextId: lastQuestionId });
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// }
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// lastAnswer = answer1;
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// lastQuestionId = question1.questionId;
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return true;
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} else {
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// Skips the header.
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return undefined;
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}
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}
|
|
});
|
|
|
|
const answersCreated = await GuaribasAnswer.bulkCreate(answers);
|
|
|
|
let i = 0;
|
|
await CollectionUtil.asyncForEach(questions, async question => {
|
|
question.answerId = answersCreated[i++].answerId;
|
|
});
|
|
|
|
return await GuaribasQuestion.bulkCreate(questions);
|
|
}
|
|
|
|
public async sendAnswer(min: GBMinInstance, channel: string, step: GBDialogStep, answer: GuaribasAnswer) {
|
|
if (answer.content.endsWith('.mp4')) {
|
|
await this.playVideo(min, min.conversationalService, step, answer, channel);
|
|
} else if (
|
|
answer.content.endsWith('.ppt') ||
|
|
answer.content.endsWith('.pptx') ||
|
|
answer.content.endsWith('.doc') ||
|
|
answer.content.endsWith('.docx') ||
|
|
answer.content.endsWith('.xls') ||
|
|
answer.content.endsWith('.xlsx')
|
|
|
|
) {
|
|
const doc = urlJoin(GBServer.globals.publicAddress, 'kb', `${min.instance.botId}.gbai`,
|
|
`${min.instance.botId}.gbkb`, 'assets', answer.content)
|
|
const url = `http://view.officeapps.live.com/op/view.aspx?src=${doc}`;
|
|
await this.playUrl(min, min.conversationalService, step, url, channel);
|
|
} else if (answer.content.endsWith('.pdf')) {
|
|
|
|
const url = urlJoin('kb', `${min.instance.botId}.gbai`,
|
|
`${min.instance.botId}.gbkb`, 'assets', answer.content);
|
|
await this.playUrl(min, min.conversationalService, step, url, channel);
|
|
} else if (answer.format === '.md') {
|
|
await min.conversationalService['playMarkdown'](min, answer.content, channel, step, min.conversationalService);
|
|
} else if (answer.content.endsWith('.ogg') && process.env.AUDIO_DISABLED !== 'true') {
|
|
await this.playAudio(min, answer, channel, step, min.conversationalService);
|
|
} else {
|
|
await min.conversationalService.sendText(min, step, answer.content);
|
|
await min.conversationalService.sendEvent(min, step, 'stop', undefined);
|
|
}
|
|
}
|
|
|
|
public async importKbPackage(
|
|
min: GBMinInstance,
|
|
localPath: string,
|
|
packageStorage: GuaribasPackage,
|
|
instance: IGBInstance
|
|
): Promise<any> {
|
|
// Imports subjects tree into database and return it.
|
|
|
|
const subjectFile = urlJoin(localPath, 'subjects.json');
|
|
|
|
if (Fs.existsSync(subjectFile)) {
|
|
await this.importSubjectFile(packageStorage.packageId, subjectFile, instance);
|
|
}
|
|
|
|
// Import tabular files in the tabular directory.
|
|
|
|
await this.importKbTabularDirectory(localPath, instance, packageStorage.packageId);
|
|
|
|
// Import remaining .md files in articles directory.
|
|
|
|
await this.importRemainingArticles(localPath, instance, packageStorage.packageId);
|
|
|
|
// Import docs files in .docx directory.
|
|
|
|
return await this.importDocs(min, localPath, instance, packageStorage.packageId);
|
|
}
|
|
|
|
/**
|
|
* Import all .md files in articles folder that has not been referenced by tabular files.
|
|
*/
|
|
public async importRemainingArticles(localPath: string, instance: IGBInstance, packageId: number): Promise<any> {
|
|
const files = await walkPromise(urlJoin(localPath, 'articles'));
|
|
|
|
await CollectionUtil.asyncForEach(files, async file => {
|
|
if (file !== null && file.name.endsWith('.md')) {
|
|
let content = await this.getAnswerTextByMediaName(instance.instanceId, file.name);
|
|
|
|
if (content === null) {
|
|
const fullFilename = urlJoin(file.root, file.name);
|
|
content = Fs.readFileSync(fullFilename, 'utf-8');
|
|
|
|
await GuaribasAnswer.create(<GuaribasAnswer>{
|
|
instanceId: instance.instanceId,
|
|
content: content,
|
|
format: '.md',
|
|
media: file.name,
|
|
packageId: packageId,
|
|
prevId: 0 // TODO: Calculate total rows and increment.
|
|
});
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Import all .docx files in reading comprehension folder.
|
|
*/
|
|
public async importDocs(min: GBMinInstance, localPath: string, instance: IGBInstance, packageId: number): Promise<any> {
|
|
const files = await walkPromise(urlJoin(localPath, 'docs'));
|
|
if (!files[0]) {
|
|
GBLog.info(`[GBDeployer] docs folder not created yet in .gbkb. To use Reading Comprehension, create this folder at root and put a document to get read by the.`);
|
|
}
|
|
else {
|
|
await CollectionUtil.asyncForEach(files, async file => {
|
|
let content = null;
|
|
let filePath = Path.join(file.root, file.name);
|
|
if (file !== null) {
|
|
if (file.name.endsWith('.docx')) {
|
|
content = await this.getTextFromFile(filePath);
|
|
} else if (file.name.endsWith('.pdf')) {
|
|
const read = await pdf(Fs.readFileSync(filePath));
|
|
content = read.text;
|
|
}
|
|
}
|
|
|
|
if (content) {
|
|
content = await min.conversationalService.translate(min, content, 'en');
|
|
await GuaribasAnswer.create(<GuaribasAnswer>{
|
|
instanceId: instance.instanceId,
|
|
content: content,
|
|
format: '.docx',
|
|
media: file.name,
|
|
packageId: packageId
|
|
});
|
|
}
|
|
|
|
});
|
|
}
|
|
}
|
|
|
|
public async importKbTabularDirectory(localPath: string, instance: IGBInstance, packageId: number): Promise<any> {
|
|
const files = await walkPromise(localPath);
|
|
|
|
await CollectionUtil.asyncForEach(files, async file => {
|
|
if (file !== null && file.name.endsWith('.xlsx')) {
|
|
return await this.importKbTabularFile(urlJoin(file.root, file.name), instance.instanceId, packageId);
|
|
}
|
|
});
|
|
}
|
|
|
|
public async importSubjectFile(packageId: number, filename: string, instance: IGBInstance): Promise<any> {
|
|
const subjectsLoaded = JSON.parse(Fs.readFileSync(filename, 'utf8'));
|
|
|
|
const doIt = async (subjects: GuaribasSubject[], parentSubjectId: number) => {
|
|
return asyncPromise.eachSeries(subjects, async item => {
|
|
const value = await GuaribasSubject.create(<GuaribasSubject>{
|
|
internalId: item.id,
|
|
parentSubjectId: parentSubjectId,
|
|
instanceId: instance.instanceId,
|
|
from: item.from,
|
|
to: item.to,
|
|
title: item.title,
|
|
description: item.description,
|
|
packageId: packageId
|
|
});
|
|
|
|
if (item.children) {
|
|
return doIt(item.children, value.subjectId);
|
|
} else {
|
|
return item;
|
|
}
|
|
});
|
|
};
|
|
|
|
return doIt(subjectsLoaded.children, undefined);
|
|
}
|
|
|
|
public async undeployKbFromStorage(instance: IGBInstance, deployer: GBDeployer, packageId: number) {
|
|
await GuaribasQuestion.destroy({
|
|
where: { instanceId: instance.instanceId, packageId: packageId }
|
|
});
|
|
await GuaribasAnswer.destroy({
|
|
where: { instanceId: instance.instanceId, packageId: packageId }
|
|
});
|
|
await GuaribasSubject.destroy({
|
|
where: { instanceId: instance.instanceId, packageId: packageId }
|
|
});
|
|
await this.undeployPackageFromStorage(instance, packageId);
|
|
}
|
|
|
|
public static async RefreshNER(min: GBMinInstance) {
|
|
const questions = await KBService.getQuestionsNER(min.instance.instanceId);
|
|
const contentLocale = min.core.getParam<string>(
|
|
min.instance,
|
|
'Default Content Language',
|
|
GBConfigService.get('DEFAULT_CONTENT_LANGUAGE')
|
|
);
|
|
|
|
await CollectionUtil.asyncForEach(questions, async question => {
|
|
const text = question.content;
|
|
|
|
const categoryReg = /.*\((.*)\).*/gi.exec(text);
|
|
const nameReg = /(\w+)\(.*\).*/gi.exec(text);
|
|
|
|
if (categoryReg && nameReg) {
|
|
let category = categoryReg[1];
|
|
let name = nameReg[1];
|
|
min["nerEngine"].addNamedEntityText(category, name,
|
|
[contentLocale], [name]);
|
|
}
|
|
});
|
|
|
|
|
|
}
|
|
|
|
/**
|
|
* Deploys a knowledge base to the storage using the .gbkb format.
|
|
*
|
|
* @param localPath Path to the .gbkb folder.
|
|
*/
|
|
public async deployKb(core: IGBCoreService, deployer: GBDeployer, localPath: string, min: GBMinInstance) {
|
|
const packageName = Path.basename(localPath);
|
|
GBLog.info(`[GBDeployer] Opening package: ${localPath}`);
|
|
|
|
const instance = await core.loadInstanceByBotId(min.botId);
|
|
GBLog.info(`[GBDeployer] Importing: ${localPath}`);
|
|
const p = await deployer.deployPackageToStorage(instance.instanceId, packageName);
|
|
await this.importKbPackage(min, localPath, p, instance);
|
|
GBDeployer.mountGBKBAssets(packageName, min.botId, localPath);
|
|
|
|
await deployer.rebuildIndex(instance, new AzureDeployerService(deployer).getKBSearchSchema(instance.searchIndex));
|
|
|
|
min['groupCache'] = await KBService.getGroupReplies(instance.instanceId);
|
|
await KBService.RefreshNER(min);
|
|
|
|
GBLog.info(`[GBDeployer] Finished import of ${localPath}`);
|
|
}
|
|
|
|
private async playAudio(
|
|
min: GBMinInstance,
|
|
answer: GuaribasAnswer,
|
|
channel: string,
|
|
step: GBDialogStep,
|
|
conversationalService: IGBConversationalService
|
|
) {
|
|
conversationalService.sendAudio(min, step, answer.content);
|
|
}
|
|
|
|
private async playUrl(
|
|
min,
|
|
conversationalService: IGBConversationalService,
|
|
step: GBDialogStep,
|
|
url: string,
|
|
channel: string
|
|
) {
|
|
if (channel === 'whatsapp') {
|
|
await min.conversationalService.sendFile(min, step, null, url, '');
|
|
} else {
|
|
await conversationalService.sendEvent(min, step, 'play', {
|
|
playerType: 'url',
|
|
data: url
|
|
});
|
|
}
|
|
}
|
|
|
|
private async playVideo(
|
|
min,
|
|
conversationalService: IGBConversationalService,
|
|
step: GBDialogStep,
|
|
answer: GuaribasAnswer,
|
|
channel: string
|
|
) {
|
|
if (channel === 'whatsapp') {
|
|
await min.conversationalService.sendFile(min, step, null, answer.content, '');
|
|
} else {
|
|
await conversationalService.sendEvent(min, step, 'play', {
|
|
playerType: 'video',
|
|
data: urlJoin(`${min.instance.botId}.gbai`, `${min.instance.botId}.gbkb`, 'videos', answer.content)
|
|
});
|
|
}
|
|
}
|
|
|
|
private async undeployPackageFromStorage(instance: any, packageId: number) {
|
|
await GuaribasPackage.destroy({
|
|
where: { instanceId: instance.instanceId, packageId: packageId }
|
|
});
|
|
}
|
|
|
|
public async readComprehension(instanceId: number, doc: string, question: string) {
|
|
const options = {
|
|
timeout: 60000 * 5,
|
|
uri: `http://${process.env.GBMODELS_SERVER}/reading-comprehension`,
|
|
form: { content: doc },
|
|
qs: { question: question, key: process.env.GBMODELS_KEY }
|
|
};
|
|
|
|
GBLog.info(`[General Bots Models]: ReadComprehension for ${question}.`);
|
|
return await request.post(options);
|
|
}
|
|
|
|
private async getTextFromFile(filename: string) {
|
|
return new Promise<string>(async (resolve, reject) => {
|
|
textract.fromFileWithPath(filename, { preserveLineBreaks: true }, (error, text) => {
|
|
if (error) {
|
|
reject(error);
|
|
} else {
|
|
resolve(text);
|
|
}
|
|
});
|
|
});
|
|
}
|
|
}
|
|
|
|
|