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

import { IGBInstance } from "botlib";
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"use strict";

const logger = require("../../../src/logger");

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");

export interface LanguagePickerSettings {
  defaultLocale?: string;
  supportedLocales?: string[];
}

export class GBConversationalService implements IGBConversationalService {
  coreService: GBCoreService;

  constructor(coreService: GBCoreService) {
    this.coreService = coreService;
  }

  getCurrentLanguage(dc: any) {
    return dc.context.activity.locale;
  }

  async sendEvent(dc: any, name: string, value: any): Promise<any> {
    if (dc.context.activity.channelId === "webchat") {
      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> {
    return new Promise((resolve, reject) => {
      const nexmo = new Nexmo({
        apiKey: min.instance.smsKey,
        apiSecret: min.instance.smsSecret
      });
      nexmo.message.sendSms(
        min.instance.smsServiceNumber,
        mobile,
        text,
        (err, data) => {
          if (err) {
            reject(err);
          } else {
            resolve(data);
          }
        }
      );
    });
  }

  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
    });
    let res = await model.recognize(dc.context);

    // Resolves intents returned from LUIS.

    let topIntent = LuisRecognizer.topIntent(res);
    if (topIntent) {
      var intent = topIntent;
      var entity =
        res.entities && res.entities.length > 0
          ? res.entities[0].entity.toUpperCase()
          : null;

      logger.info("NLP called:" + intent + ", " + entity);

      try {
        await dc.replace("/" + intent, res.entities);
      } catch (error) {
        let msg = `Error running NLP (${intent}): ${error}`;
        logger.info(msg);
        return Promise.reject(msg);
      }
      return Promise.resolve(true);
    } else {
      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;
      }
    }
  }
}