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';
import { BotAdapter } from 'botbuilder';
import { WaterfallDialog } from 'botbuilder-dialogs';
import { GBLog, GBMinInstance, IGBDialog, IGBPackage } from 'botlib';
import { Messages } from '../strings';
import { KBService } from './../services/KBService';
import { GuaribasAnswer } from '../models';
import { SecService } from '../../security.gbapp/services/SecService';
import { CollectionUtil, AzureText } from 'pragmatismo-io-framework';
import { GBVMService } from '../../basic.gblib/services/GBVMService';
import { GBImporter } from '../../core.gbapp/services/GBImporterService';
import { GBDeployer } from '../../core.gbapp/services/GBDeployer';
import { GBConfigService } from '../../core.gbapp/services/GBConfigService';
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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.
*/
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)));
}
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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');
}
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) {
text = ""; // REMOVED: Messages[locale].anything_else;
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} else if (step.options && step.options.emptyPrompt) {
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;
const user = await sec.ensureUser(min.instance.instanceId, member.id, member.name, '', 'web', member.name, null);
let handled = false;
let nextDialog = null;
await CollectionUtil.asyncForEach(min.appPackages, async (e: IGBPackage) => {
if (
nextDialog = await e.onExchangeData(min, 'handleAnswer', {
query: text,
step: step,
message: text,
user: user ? user['dataValues'] : null
})
) {
handled = true;
}
});
await step.beginDialog(nextDialog ? nextDialog : '/answer', {
query: text,
user: user ? user['dataValues'] : null,
message: text
});
} else {
return await step.next();
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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');
}
else {
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return await step.next(step.options);
}
},
async step => {
let answer: GuaribasAnswer = null;
const user = await min.userProfile.get(step.context, {});
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) {
const startDialog =
min.core.getParam(min.instance, 'Start Dialog', null);
if (startDialog) {
await GBVMService.callVM(startDialog.toLowerCase().trim(), min, step, this.deployer);
}
return step.endDialog();
}
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const locale = step.context.activity.locale;
// Stops any content on projector.
await min.conversationalService.sendEvent(min, step, 'stop', undefined);
// 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.
const searchScore = min.core.getParam(min.instance, 'Search Score',
min.instance.searchScore ? min.instance.searchScore : minBoot.instance.searchScore);
user.lastQuestion = text;
await min.userProfile.set(step.context, user);
const resultsA = await service.ask(min.instance, text, searchScore, 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;
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await min.userProfile.set(step.context, user);
// Sends the answer to all outputs, including projector.
answer = resultsA.answer;
// If this search was restricted to some subjects...
} 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);
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// If there is some result, answer immediately.
if (resultsB !== undefined && resultsB.answer !== undefined) {
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// Saves some context info.
const user2 = await min.userProfile.get(step.context, {});
user2.isAsking = false;
user2.lastQuestionId = resultsB.questionId;
await min.userProfile.set(step.context, user2);
// 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;
}
}
// Answers using Search or NLP responses.
if (answer) {
return await AskDialog.handleAnswer(service, min, step, answer);
} else if (!(await min.conversationalService.routeNLP(step, min, text))) {
if (process.env.GBMODELS_SERVER) {
text = await min.conversationalService.translate(min, text, 'en');
let answered = false;
const docs = await min.kbService['getDocs'](min.instance.instanceId);
await CollectionUtil.asyncForEach(docs, async (doc: GuaribasAnswer) => {
if (!answered) {
const answerText = await min.kbService['readComprehension'](min.instance.instanceId, doc.content, text);
answered = true;
text = await min.conversationalService.translate(min, text, user.systemUser.locale
? user.systemUser.locale
: min.core.getParam<string>(min.instance, 'Locale', GBConfigService.get('LOCALE')));
await min.conversationalService.sendText(min, step, answerText);
await min.conversationalService.sendEvent(min, step, 'stop', undefined);
}
});
return await step.replaceDialog('/ask', { isReturning: true });
}
} else {
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const message = min.core.getParam<string>(min.instance, 'Not Found Message',
Messages[locale].did_not_find);
await min.conversationalService.sendText(min, step, message);
return await step.replaceDialog('/ask', { isReturning: true });
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}
}
];
}
private static async handleAnswer(service: KBService, min: GBMinInstance, step: any, answer: GuaribasAnswer) {
const text = answer.content;
if (text.endsWith('.docx')) {
const mainName = GBVMService.getMethodNameFromVBSFilename(text);
return await GBVMService.callVM(mainName, min, step, this.deployer);
} else {
await service.sendAnswer(min, AskDialog.getChannel(step), step, answer);
return await step.replaceDialog('/ask', { isReturning: true });
}
}
private static getChannel(step): string {
return !isNaN(step.context.activity['mobile']) ? 'whatsapp' : step.context.activity.channelId;
}
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');
}
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);
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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}
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}