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

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/**
 * @fileoverview General Bots server core.
 */

'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";
import { any } from "bluebird";
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(step: any) {
    return step.context.activity.locale;
  }

  async sendEvent(step: any, name: string, value: any): Promise<any> {
    if (step.context.activity.channelId === "webchat") {
      const msg = MessageFactory.text("");
      msg.value = value;
      msg.type = "event";
      msg.name = name;
      return step.context.sendActivity(msg);
    }
  }

  async sendSms(
    min: GBMinInstance,
    mobile: string,
    text: string
  ): Promise<any> {
    return new Promise((resolve: any, reject: any): any => {
      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(step: any, min: GBMinInstance, text: string): Promise<boolean> {
    // Invokes LUIS.

    const model = new LuisRecognizer({
      applicationId: min.instance.nlpAppId,
      endpointKey: min.instance.nlpKey,
      endpoint: min.instance.nlpEndpoint
    });

    let nlp: any;
    try {
      nlp = await model.recognize(step.context);
    } catch (error) {
      if (error.statusCode == 404){
        logger.warn ('NLP application still not publish and there are no other options for answering.')
        return Promise.resolve(false);
      }
      else{
      let msg = `Error calling NLP server, check if you have a published model and assigned keys on the service. Error: ${
        error.statusCode ? error.statusCode : ""
      } ${error.message}`;
      return Promise.reject(new Error(msg));}

    }

    // Resolves intents returned from LUIS.

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

      if (intent === "None") {
        return Promise.resolve(false);
      }

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

      try {
        await step.replace("/" + intent, nlp.entities);
        return Promise.resolve(true);
      } catch (error) {
        let msg = `Error finding dialog associated to NLP event: ${intent}: ${
          error.message
        }`;
        return Promise.reject(new Error(msg));
      }
    }
    return Promise.resolve(false);
  }

  async checkLanguage(step, min, text) {
    let locale = await AzureText.getLocale(
      min.instance.textAnalyticsKey,
      min.instance.textAnalyticsEndpoint,
      text
    );
    if (locale != step.context.activity.locale.split("-")[0]) {
      switch (locale) {
        case "pt":
          step.context.activity.locale = "pt-BR";
          await step.context.sendActivity(Messages[locale].changing_language);
          break;
        case "en":
          step.context.activity.locale = "en-US";
          await step.context.sendActivity(Messages[locale].changing_language);
          break;
        default:
          await step.context.sendActivity(`Unknown language: ${locale}`);
          break;
      }
    }
  }
}