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

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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 { BotAdapter } from 'botbuilder';
import { WaterfallDialog } from 'botbuilder-dialogs';
import { IGBDialog } from 'botlib';
import { GBMinInstance } from 'botlib';
import { AzureText } from 'pragmatismo-io-framework';
import { Messages } from '../strings';
import { KBService } from './../services/KBService';
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const logger = require('../../../src/logger');
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export class AskDialog extends IGBDialog {
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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);
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min.dialogs.add(
new WaterfallDialog('/answerEvent', [
async step => {
if (step.options && step.options.questionId) {
const question = await service.getQuestionById(
min.instance.instanceId,
step.options.questionId
);
const answer = await service.getAnswerById(
min.instance.instanceId,
question.answerId
);
// Sends the answer to all outputs, including projector.
await service.sendAnswer(min.conversationalService, step, answer);
await step.replaceDialog('/ask', { isReturning: true });
}
return await step.next();
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}
])
);
min.dialogs.add(
new WaterfallDialog('/answer', [
async step => {
const user = await min.userProfile.get(step.context, {});
let text = step.options.query;
if (!text) {
throw new Error(`/answer being called with no args.query text.`);
}
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const locale = step.context.activity.locale;
// Stops any content on projector.
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await min.conversationalService.sendEvent(step, 'stop', null);
// Handle extra text from FAQ.
if (step.options && step.options.query) {
text = step.options.query;
} else if (step.options && step.options.fromFaq) {
await step.context.sendActivity(Messages[locale].going_answer);
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}
// Spells check the input text before sending Search or NLP.
if (min.instance.spellcheckerKey) {
const data = await AzureText.getSpelledText(
min.instance.spellcheckerKey,
text
);
if (data != text) {
logger.info(`Spelling corrected: ${data}`);
text = data;
}
}
// Searches KB for the first time.
user.lastQuestion = text;
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await min.userProfile.set(step.context, user);
const resultsA = await service.ask(
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min.instance,
text,
min.instance.searchScore,
user.subjects
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);
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// If there is some result, answer immediately.
if (resultsA && resultsA.answer) {
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// Saves some context info.
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user.isAsking = false;
user.lastQuestionId = resultsA.questionId;
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await min.userProfile.set(step.context, user);
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// Sends the answer to all outputs, including projector.
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await service.sendAnswer(
min.conversationalService,
step,
resultsA.answer
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);
// Goes to ask loop, again.
return await step.replaceDialog('/ask', { isReturning: true });
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} else {
// Second time running Search, now with no filter.
const resultsB = await service.ask(
min.instance,
text,
min.instance.searchScore,
null
);
// If there is some result, answer immediately.
if (resultsB && resultsB.answer) {
// Saves some context info.
const user = await min.userProfile.get(step.context, {});
user.isAsking = false;
user.lastQuestionId = resultsB.questionId;
await min.userProfile.set(step.context, user);
// Informs user that a broader search will be used.
if (user.subjects.length > 0) {
const subjectText = `${KBService.getSubjectItemsSeparatedBySpaces(
user.subjects
)}`;
await step.context.sendActivity(Messages[locale].wider_answer);
}
// Sends the answer to all outputs, including projector.
await service.sendAnswer(
min.conversationalService,
step,
resultsB.answer
);
return await step.replaceDialog('/ask', { isReturning: true });
} else {
if (
!(await min.conversationalService.routeNLP(step, min, text))
) {
await step.context.sendActivity(Messages[locale].did_not_find);
return await step.replaceDialog('/ask', { isReturning: true });
}
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}
}
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}
])
);
min.dialogs.add(
new WaterfallDialog('/ask', [
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;
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// Three forms of asking.
if (step.options && step.options.firstTime) {
text = Messages[locale].ask_first_time;
} else if (step.options && step.options.isReturning) {
text = Messages[locale].anything_else;
} else if (user.subjects.length > 0) {
text = Messages[locale].which_question;
} else {
throw new Error('Invalid use of /ask');
}
if (text.length > 0) {
return await step.prompt('textPrompt', text);
}
return await step.next();
},
async step => {
return await step.replaceDialog('/answer', { query: step.result });
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}
])
);
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}
}