botserver/deploy/core.gbapp/services/GBConversationalService.ts

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import { IGBInstance } from 'botlib';
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/*****************************************************************************\
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| ( )_ _ |
| _ _ _ __ _ _ __ ___ ___ _ _ | ,_)(_) ___ ___ _ |
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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, |
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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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\*****************************************************************************/
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"use strict";
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const logger = require("../../../src/logger");
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import { GBCoreService } from "./GBCoreService";
import { IGBConversationalService } from "botlib";
import { GBMinInstance } from "botlib";
import { LuisRecognizer } from "botbuilder-ai";
import { MessageFactory } from "botbuilder";
import { Messages } from "../strings";
import { AzureText } from "pragmatismo-io-framework";
const Nexmo = require("nexmo");
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export interface LanguagePickerSettings {
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defaultLocale?: string;
supportedLocales?: string[];
}
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export class GBConversationalService implements IGBConversationalService {
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coreService: GBCoreService;
constructor(coreService: GBCoreService) {
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this.coreService = coreService;
}
getCurrentLanguage(dc: any) {
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return dc.context.activity.locale;
}
async sendEvent(dc: any, name: string, value: any): Promise<any> {
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const msg = MessageFactory.text("");
msg.value = value;
msg.type = "event";
msg.name = name;
return dc.context.sendActivity(msg);
}
async sendSms(min: GBMinInstance, mobile: string, text: string) : Promise<any> {
const nexmo = new Nexmo({
apiKey: min.instance.smsKey,
apiSecret: min.instance.smsSecret,
});
nexmo.message.sendSms(
min.instance.smsServiceNumber,
mobile,
text,
);
}
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async routeNLP(dc: any, min: GBMinInstance, text: string): Promise<boolean> {
// Invokes LUIS.
const model = new LuisRecognizer({
appId: min.instance.nlpAppId,
subscriptionKey: min.instance.nlpSubscriptionKey,
serviceEndpoint: min.instance.nlpServerUrl
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});
let res = await model.recognize(dc.context);
// Resolves intents returned from LUIS.
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let topIntent = LuisRecognizer.topIntent(res);
if (topIntent) {
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var intent = topIntent;
var entity =
res.entities && res.entities.length > 0
? res.entities[0].entity.toUpperCase()
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: null;
logger.info("NLP called:" + intent + ", " + entity);
try {
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await dc.replace("/" + intent, res.entities);
} catch (error) {
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let msg = `Error running NLP (${intent}): ${error}`;
logger.info(msg);
return Promise.reject(msg);
}
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return Promise.resolve(true);
} else {
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return Promise.resolve(false);
}
}
async checkLanguage(dc, min, 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;
}
}
}
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}