botserver/deploy/kb.gbapp/dialogs/AskDialog.ts
2018-09-14 12:56:54 -03:00

221 lines
7.8 KiB
TypeScript

/*****************************************************************************\
| ( )_ _ |
| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
| ( '_`\ ( '__)/'_` ) /'_ `\/' _ ` _ `\ /'_` )| | | |/',__)/' _ `\ /'_`\ |
| | (_) )| | ( (_| |( (_) || ( ) ( ) |( (_| || |_ | |\__, \| ( ) |( (_) ) |
| | ,__/'(_) `\__,_)`\__ |(_) (_) (_)`\__,_)`\__)(_)(____/(_) (_)`\___/' |
| | | ( )_) | |
| (_) \___/' |
| |
| 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 |
| our trademarks remain entirely with us. |
| |
\*****************************************************************************/
"use strict";
import { IGBDialog } from "botlib";
import { AzureText } from "pragmatismo-io-framework";
import { GBMinInstance } from "botlib";
import { KBService } from "./../services/KBService";
import { BotAdapter } from "botbuilder";
import { Messages } from "../strings";
import { LuisRecognizer } from "botbuilder-ai";
const logger = require("../../../src/logger");
export class AskDialog extends IGBDialog {
/**
* 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) {
const service = new KBService(min.core.sequelize);
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);
let text = args.query;
if (!text) {
throw new Error(`/answer being called with no args.query text.`);
}
let locale = await AzureText.getLocale(
min.instance.textAnalyticsKey,
min.instance.textAnalyticsServerUrl,
text
);
if (locale != dc.context.activity.locale.split("-")[0]) {
switch (locale) {
case "pt":
dc.context.activity.locale = "pt-BR";
await dc.context.sendActivity(Messages[locale].changing_language);
break;
case "en":
dc.context.activity.locale = "en-US";
await dc.context.sendActivity(Messages[locale].changing_language);
break;
default:
await dc.context.sendActivity(`Unknown language: ${locale}`);
break;
}
}
// Stops any content on projector.
await min.conversationalService.sendEvent(dc, "stop", null);
// Handle extra text from FAQ.
if (args && args.query) {
text = args.query;
} else if (args && args.fromFaq) {
await dc.context.sendActivity(Messages[locale].going_answer);
}
// Spells check the input text before sending Search or NLP.
if (min.instance.spellcheckerKey) {
let data = await AzureText.getSpelledText(
min.instance.spellcheckerKey,
text
);
if (data != text) {
logger.info(`Spelling corrected: ${data}`);
text = data;
}
}
// Searches KB for the first time.
user.lastQuestion = text;
let resultsA = await service.ask(
min.instance,
text,
min.instance.searchScore,
user.subjects
);
// If there is some result, answer immediately.
if (resultsA && resultsA.answer) {
// Saves some context info.
user.isAsking = false;
user.lastQuestionId = resultsA.questionId;
// Sends the answer to all outputs, including projector.
await service.sendAnswer(
min.conversationalService,
dc,
resultsA.answer
);
// Goes to ask loop, again.
await dc.replace("/ask", { isReturning: true });
} else {
// Second time running Search, now with no filter.
let resultsB = await service.ask(
min.instance,
text,
min.instance.searchScore,
null
);
// If there is some result, answer immediately.
if (resultsB && resultsB.answer) {
// Saves some context info.
const user = min.userState.get(dc.context);
user.isAsking = false;
user.lastQuestionId = resultsB.questionId;
// Informs user that a broader search will be used.
if (user.subjects.length > 0) {
let subjectText = `${KBService.getSubjectItemsSeparatedBySpaces(
user.subjects
)}`;
await dc.context.sendActivity(Messages[locale].wider_answer);
}
// Sends the answer to all outputs, including projector.
await service.sendAnswer(
min.conversationalService,
dc,
resultsB.answer
);
await dc.replace("/ask", { isReturning: true });
} else {
if (!(await min.conversationalService.runNLP(dc, min, text))) {
await dc.context.sendActivity(Messages[locale].did_not_find);
await dc.replace("/ask", { isReturning: true });
}
}
}
}
]);
min.dialogs.add("/ask", [
async (dc, args) => {
const locale = dc.context.activity.locale;
const user = min.userState.get(dc.context);
user.isAsking = true;
if (!user.subjects) {
user.subjects = [];
}
let text = [];
if (user.subjects.length > 0) {
text = Messages[locale].which_question;
}
if (args && args.isReturning) {
text = Messages[locale].anything_else;
}
if (text.length > 0) {
await dc.prompt("textPrompt", text[0]);
}
},
async (dc, value) => {
await dc.endAll();
await dc.begin("/answer", { query: value });
}
]);
}
}