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

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/*****************************************************************************\
| ( )_ _ |
| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
| ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ |
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| | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' |
| | | ( )_) | |
| (_) \___/' |
| |
| 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 |
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\*****************************************************************************/
"use strict";
import { IGBDialog } from "botlib";
import { AzureText } from "pragmatismo-io-framework";
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import { GBMinInstance } from "botlib";
import { KBService } from './../services/KBService';
import { BotAdapter } from "botbuilder";
import { LuisRecognizer } from "botbuilder-ai";
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const logger = require("../../../src/logger");
export class AskDialog extends IGBDialog {
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/**
* Setup dialogs flows and define services call.
*
* @param bot The bot adapter.
* @param min The minimal bot instance data.
*/
static setup(bot: BotAdapter, min: GBMinInstance) {
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const service = new KBService(min.core.sequelize);
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const model = new LuisRecognizer({
appId: min.instance.nlpAppId,
subscriptionKey: min.instance.nlpSubscriptionKey,
serviceEndpoint: min.instance.nlpServerUrl
});
min.dialogs.add("/answer", [
async (dc, args) => {
// Initialize values.
const user = min.userState.get(dc.context);
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let text = args.query;
if (!text) {
throw new Error(`/answer being called with no args.query text.`)
}
// Stops any content on projector.
await min.conversationalService.sendEvent(dc, "stop", null);
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// Handle extra text from FAQ.
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if (args && args.query) {
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text = args.query;
} else if (args && args.fromFaq) {
let messages = [
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`Ótima escolha, procurando resposta para sua questão...`,
`Pesquisando sobre o termo...`,
`Aguarde, por favor, enquanto acho sua resposta...`
];
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await dc.context.sendActivity(messages[0]); // TODO: Handle rnd.
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}
// Spells check the input text before sending Search or NLP.
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if (min.instance.spellcheckerKey) {
let data = await AzureText.getSpelledText(
min.instance.spellcheckerKey,
text);
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if (data != text) {
logger.info(`Spelling corrected: ${data}`);
text = data;
}
}
// Searches KB for the first time.
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user.lastQuestion = text;
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let resultsA = await service.ask(
min.instance,
text,
min.instance.searchScore,
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user.subjects);
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// If there is some result, answer immediately.
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if (resultsA && resultsA.answer) {
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// Saves some context info.
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user.isAsking = false;
user.lastQuestionId = resultsA.questionId;
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// Sends the answer to all outputs, including projector.
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await service.sendAnswer(min.conversationalService, dc, resultsA.answer);
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// Goes to ask loop, again.
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dc.replace("/ask", { isReturning: true });
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} else {
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// Second time running Search, now with no filter.
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let resultsB = await service.ask(min.instance, text,
min.instance.searchScore, null);
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// If there is some result, answer immediately.
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if (resultsB && resultsB.answer) {
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// Saves some context info.
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const user = min.userState.get(dc.context);
user.isAsking = false;
user.lastQuestionId = resultsB.questionId;
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// Informs user that a broader search will be used.
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if (user.subjects.length > 0) {
let subjectText =
`${KBService.getSubjectItemsSeparatedBySpaces(
user.subjects
)}`;
let messages = [
`Respondendo nao apenas sobre ${subjectText}... `,
`Respondendo de modo mais abrangente...`,
`Vou te responder de modo mais abrangente...
Não apenas sobre ${subjectText}`
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];
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await dc.context.sendActivity(messages[0]); // TODO: Handle rnd.
}
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// Sends the answer to all outputs, including projector.
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await service.sendAnswer(min.conversationalService, dc, resultsB.answer);
await dc.replace("/ask", { isReturning: true });
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} else {
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let data = await min.conversationalService.runNLP(dc, min, text);
if (!data) {
let messages = [
"Desculpe-me, não encontrei nada a respeito.",
"Lamento... Não encontrei nada sobre isso. Vamos tentar novamente?",
"Desculpe-me, não achei nada parecido. Poderia tentar escrever de outra forma?"
];
dc.context.sendActivity(messages[0]); // TODO: Handle rnd.
dc.replace("/ask", { isReturning: true });
}
}
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}
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}
]);
min.dialogs.add("/ask", [
async (dc, args) => {
const user = min.userState.get(dc.context);
user.isAsking = true;
if (!user.subjects) {
user.subjects = [];
}
let text = [];
if (user.subjects.length > 0) {
text = [
`Faça sua pergunta...`,
`Pode perguntar sobre o assunto em questão... `,
`Qual a pergunta?`
];
}
if (args && args.isReturning) {
text = [
"Sobre o que mais posso ajudar?",
"Então, posso ajudar em algo a mais?",
"Deseja fazer outra pergunta?"
];
}
if (text.length > 0) {
await dc.prompt('textPrompt', text[0]);
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}
},
async (dc, value) => {
dc.endAll();
dc.begin("/answer", { query: value });
}
]);
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}
}