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

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/**
 * @fileoverview Conversation handling and external service calls.
 */

'use strict';

const logger = require('../../../src/logger');
import { MessageFactory } from 'botbuilder';
import { LuisRecognizer } from 'botbuilder-ai';
import { GBMinInstance, IGBConversationalService } from 'botlib';
import { AzureText } from 'pragmatismo-io-framework';
import { Messages } from '../strings';
import { GBCoreService } from './GBCoreService';
const Nexmo = require('nexmo');

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

export class GBConversationalService implements IGBConversationalService {
  public coreService: GBCoreService;

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

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

  public 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);
    }
  }

  public 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);
          }
        });
      }
    );
  }

  public 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 {
        const msg = `Error calling NLP, check if you have a published model and assigned keys. Error: ${
          error.statusCode ? error.statusCode : ''
        } ${error.message}`;

        return Promise.reject(new Error(msg));
      }
    }

    // Resolves intents returned from LUIS.

    const topIntent = LuisRecognizer.topIntent(nlp);
    if (topIntent) {
      const intent = topIntent;
      const 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) {
        const msg = `Error finding dialog associated to NLP event: ${intent}: ${error.message}`;

        return Promise.reject(new Error(msg));
      }
    }

    return Promise.resolve(false);
  }

  public async checkLanguage(step, min, text) {
    const 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;
      }
    }
  }
}