botserver/packages/kb.gbapp/dialogs/AskDialog.ts

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/*****************************************************************************\
| ( )_ _ |
| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
| ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' v `\ /'_`\ |
| | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| (˅) |( (_) ) |
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| | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' |
| | | ( )_) | |
| (_) \___/' |
| |
| General Bots Copyright (c) Pragmatismo.io. All rights reserved. |
| 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 |
| 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, |
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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 |
| 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. |
| |
\*****************************************************************************/
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/**
* @fileoverview General Bots server core.
*/
'use strict';
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import { GBServer } from '../../../src/app.js';
import { BotAdapter } from 'botbuilder';
import { WaterfallDialog } from 'botbuilder-dialogs';
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import { ChatGPTAPIBrowser } from 'chatgpt';
import { GBLog, GBMinInstance, IGBDialog, IGBPackage } from 'botlib';
import { Messages } from '../strings.js';
import { KBService } from './../services/KBService.js';
import { GuaribasAnswer } from '../models/index.js';
import { SecService } from '../../security.gbapp/services/SecService.js';
import { CollectionUtil, AzureText } from 'pragmatismo-io-framework';
import { GBVMService } from '../../basic.gblib/services/GBVMService.js';
import { GBImporter } from '../../core.gbapp/services/GBImporterService.js';
import { GBDeployer } from '../../core.gbapp/services/GBDeployer.js';
import { GBConfigService } from '../../core.gbapp/services/GBConfigService.js';
import Fs from 'fs';
import urlJoin from 'url-join';
import { SystemKeywords } from '../../basic.gblib/services/SystemKeywords.js';
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/**
* Dialog arguments.
*/
export class AskDialogArgs {
public questionId: number;
public fromFaq: boolean;
}
/**
* Handle the ask loop on knowledge base data or delegate to other services.
*/
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export class AskDialog extends IGBDialog {
static deployer: any;
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/**
* Setup dialogs flows and define services call.
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*
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* @param bot The bot adapter.
* @param min The minimal bot instance data.
*/
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public static setup(bot: BotAdapter, min: GBMinInstance) {
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const service = new KBService(min.core.sequelize);
const importer = new GBImporter(min.core);
this.deployer = new GBDeployer(min.core, importer);
min.dialogs.add(new WaterfallDialog('/answerEvent', AskDialog.getAnswerEventDialog(service, min)));
min.dialogs.add(new WaterfallDialog('/answer', AskDialog.getAnswerDialog(min, service)));
min.dialogs.add(new WaterfallDialog('/ask', AskDialog.getAskDialog(min)));
min.dialogs.add(new WaterfallDialog('/dialog', AskDialog.getLLVMDialog(min, service)));
}
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private static getAskDialog(min: GBMinInstance) {
return [
async step => {
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if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
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} else {
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return await step.next(step.options);
}
},
async step => {
const locale = step.context.activity.locale;
const user = await min.userProfile.get(step.context, {});
user.isAsking = true;
if (!user.subjects) {
user.subjects = [];
}
let text: string;
// Three forms of asking.
if (step.options && step.options.firstTime) {
text = Messages[locale].ask_first_time;
}
else if (step.options && step.options.isReturning && !step.context.activity.group) {
text = Messages[locale].anything_else;
}
else if (step.context.activity.group || (step.options && step.options.emptyPrompt)) {
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text = '';
} else if (user.subjects.length > 0) {
text = Messages[locale].which_question;
} else {
throw new Error('Invalid use of /ask');
}
return await min.conversationalService.prompt(min, step, text);
},
async step => {
if (step.result) {
let text = step.result;
text = text.replace(/<([^>]+?)([^>]*?)>(.*?)<\/\1>/gi, '');
let sec = new SecService();
const member = step.context.activity.from;
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const user = await sec.ensureUser(
min.instance.instanceId,
member.id,
member.name,
'',
'web',
member.name,
null
);
let handled = false;
let nextDialog = null;
let data = {
query: text,
step: step,
message: text,
user: user ? user['dataValues'] : null
};
await CollectionUtil.asyncForEach(min.appPackages, async (e: IGBPackage) => {
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if ((nextDialog = await e.onExchangeData(min, 'handleAnswer', data))) {
handled = true;
}
});
data.step = null;
GBLog.info(`/answer being called from getAskDialog.`);
await step.beginDialog(nextDialog ? nextDialog : '/answer', {
data: data,
query: text,
user: user ? user['dataValues'] : null,
message: text
});
} else {
return await step.next();
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}
}
];
}
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private static getAnswerDialog(min: GBMinInstance, service: KBService) {
return [
async step => {
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if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
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} else {
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return await step.next(step.options);
}
},
async step => {
let answer: GuaribasAnswer = null;
const member = step.context.activity.from;
const sec = new SecService();
let user = await sec.ensureUser(min.instance.instanceId, member.id, member.name, '', 'web', member.name, null);
const minBoot = GBServer.globals.minBoot as any;
let text = step.options.query;
text = text.replace(/<([^>]+?)([^>]*?)>(.*?)<\/\1>/gi, '');
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// When no text is typed, the start dialog is invoked again
// when people type just the @botName in MSTEAMS for example.
if (!text) {
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const startDialog = min.core.getParam(min.instance, 'Start Dialog', null);
if (startDialog) {
await GBVMService.callVM(startDialog.toLowerCase().trim(), min, step, user, this.deployer, false);
}
return step.endDialog();
}
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const locale = step.context.activity.locale;
// Stops any content on projector.
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if (step.context.activity.channelId !== 'msteams') {
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await min.conversationalService.sendEvent(min, step, 'stop', undefined);
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}
// Handle extra text from FAQ.
if (step.options && step.options.query) {
text = step.options.query;
} else if (step.options && step.options.fromFaq) {
await min.conversationalService.sendText(min, step, Messages[locale].going_answer);
}
// Searches KB for the first time.
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const searchScore = min.core.getParam(
min.instance,
'Search Score',
min.instance.searchScore ? min.instance.searchScore : minBoot.instance.searchScore
);
// TODO: https://github.com/GeneralBots/BotServer/issues/9 user.lastQuestion = text;
const resultsA = await service.ask(min.instance, text, searchScore, null /* user.subjects */);
// If there is some result, answer immediately.
if (resultsA !== undefined && resultsA.answer !== undefined) {
// Saves some context info.
// user.isAsking = false;
// user.lastQuestionId = resultsA.questionId;
// Sends the answer to all outputs, including projector.
answer = resultsA.answer;
// If this search was restricted to some subjects...
}
// TODO: https://github.com/GeneralBots/BotServer/issues/9
// else if (user.subjects && user.subjects.length > 0) {
// // ..second time running Search, now with no filter.
// const resultsB = await service.ask(min.instance, text, searchScore, undefined);
// // If there is some result, answer immediately.
// if (resultsB !== undefined && resultsB.answer !== undefined) {
// // Saves some context info.
// // user2.isAsking = false;
// // user2.lastQuestionId = resultsB.questionId;
// // Informs user that a broader search will be used.
// if (user2.subjects.length > 0) {
// await min.conversationalService.sendText(min, step, Messages[locale].wider_answer);
// }
// answer = resultsB.answer;
// }
// }
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// Try to answer by search.
if (answer) {
return await AskDialog.handleAnswer(service, min, step, user, answer);
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}
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// Tries to answer by NLP.
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let nextDialog = await min.conversationalService.routeNLP(step, min, text);
if (nextDialog) {
return nextDialog;
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}
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// Tries to answer by Reading Comprehension.
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if (process.env.GBMODELS_SERVER) {
text = await min.conversationalService.translate(min, text, 'en');
let answered = false;
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const docs = await min.kbService['getDocs'](min.instance.instanceId);
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await CollectionUtil.asyncForEach(docs, async (doc: GuaribasAnswer) => {
if (!answered) {
const answerText = await min.kbService['readComprehension'](min.instance.instanceId, doc.content, text);
answered = true;
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text = await min.conversationalService.translate(
min,
text,
user.locale
? user.locale
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: min.core.getParam<string>(min.instance, 'Locale', GBConfigService.get('LOCALE'))
);
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await min.conversationalService.sendText(min, step, answerText);
await min.conversationalService.sendEvent(min, step, 'stop', undefined);
}
});
return await step.replaceDialog('/ask', { isReturning: true });
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}
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if (process.env.OPENAI_EMAIL) {
if (!GBServer.globals.chatGPT) {
GBServer.globals.chatGPT = new ChatGPTAPIBrowser({
email: process.env.OPENAI_EMAIL,
password: process.env.OPENAI_PASSWORD
});
await GBServer.globals.chatGPT.init();
}
const CHATGPT_TIMEOUT = 60 * 1000;
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GBLog.info(`ChatGPT being used...`);
const response = await GBServer.globals.chatGPT.sendMessage(text, { timeoutMs: CHATGPT_TIMEOUT });
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if (!response) {
GBLog.info(`SEARCH called but NO answer could be found (zero results).`);
} else {
await min.conversationalService.sendText(min, step, response);
}
return await step.replaceDialog('/ask', { isReturning: true });
}
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// Not found.
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const message = min.core.getParam<string>(min.instance, 'Not Found Message', Messages[locale].did_not_find);
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await min.conversationalService.sendText(min, step, message);
return await step.replaceDialog('/ask', { isReturning: true });
}
];
}
private static async handleAnswer(service: KBService, min: GBMinInstance, step: any, user, answer: GuaribasAnswer) {
const text = answer.content;
if (text.endsWith('.docx')) {
const mainName = GBVMService.getMethodNameFromVBSFilename(text);
await step.endDialog();
return await GBVMService.callVM(mainName, min, step, user, this.deployer, false);
} else {
await service.sendAnswer(min, AskDialog.getChannel(step), step, answer);
return await step.replaceDialog('/ask', { isReturning: true });
}
}
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private static getChannel(step): string {
return !isNaN(step.context.activity['mobile']) ? 'whatsapp' : step.context.activity.channelId;
}
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private static getAnswerEventDialog(service: KBService, min: GBMinInstance) {
return [
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async step => {
if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
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} else {
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return await step.next(step.options);
}
},
async step => {
const data = step.options as AskDialogArgs;
if (data !== undefined && data.questionId !== undefined) {
const question = await service.getQuestionById(min.instance.instanceId, data.questionId);
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const answer = await service.getAnswerById(min.instance.instanceId, question.answerId);
// Sends the answer to all outputs, including projector.
await service.sendAnswer(min, AskDialog.getChannel(step), step, answer);
await step.replaceDialog('/ask', { isReturning: true });
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}
return await step.next();
}
];
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}
private static getLLVMDialog(min: GBMinInstance, service: KBService) {
return [
async step => {
if (step.context.activity.channelId !== 'msteams' && process.env.ENABLE_AUTH) {
return await step.beginDialog('/auth');
} else {
return await step.next(step.options);
}
},
async step => {
return await min.conversationalService.prompt(min, step, 'Please, describe the dialog scene.');
},
async step => {
step.options.dialog = step.result;
return await min.conversationalService.prompt(min, step, 'How would you call this?');
},
async step => {
if (GBServer.globals.chatGPT) {
let input = `Write a BASIC program that ${step.options.dialog.toLowerCase()}. And does not explain.`;
await min.conversationalService.sendText(min, step, 'Thank you. The dialog is being written right now...');
const CHATGPT_TIMEOUT = 3 * 60 * 1000;
GBLog.info(`ChatGPT Code: ${input}`);
let response = await GBServer.globals.chatGPT.sendMessage(input, {
timeoutMs: CHATGPT_TIMEOUT
});
// Removes instructions, just code.
response = response.replace(/Copy code/gim, '\n');
let lines = response.split('\n')
let filteredLines = lines.filter(line => /\s*\d+\s*.*/.test(line))
response = filteredLines.join('\n');
// Gets dialog name and file handling
let dialogName = step.result.replace('.', '');
const docx = urlJoin(`${min.botId}.gbdialog`, `${dialogName}.docx`);
const sys = new SystemKeywords();
const document = await sys.internalCreateDocument(min, docx, response);
await service.addQA(min, dialogName, dialogName);
let message = `Waiting for publishing...`;
await min.conversationalService.sendText(min, step, message);
await step.replaceDialog('/publish', { confirm: true });
message = `Dialog is ready! Let's run:`;
await min.conversationalService.sendText(min, step, message);
let sec = new SecService();
const member = step.context.activity.from;
const user = await sec.ensureUser(
min.instance.instanceId,
member.id,
member.name,
'',
'web',
member.name,
null
);
await step.endDialog();
await GBVMService.callVM(dialogName.toLowerCase(),
min, step, user, this.deployer, false);
}
}
];
}
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}