index.js

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

// index.js is used to setup and configure your bot

// Import required packages.
const path = require('path');

// Note: Ensure you have a .env file and include translatorKey.
const ENV_FILE = path.join(__dirname, '.env');
require('dotenv').config({ path: ENV_FILE });

const restify = require('restify');
const { MicrosoftTranslator } = require('./translation/microsoftTranslator');
const { TranslatorMiddleware } = require('./translation/translatorMiddleware');

// Import required bot services.
// See https://aka.ms/bot-services to learn more about the different parts of a bot.
const {
    ActivityTypes,
    CloudAdapter,
    MemoryStorage,
    TurnContext,
    UserState,
    ConfigurationBotFrameworkAuthentication
} = require('botbuilder');

// This bot's main dialog.
const { MultilingualBot } = require('./bots/multilingualBot');

// Used to create the BotStatePropertyAccessor for storing the user's language preference.
const LANGUAGE_PREFERENCE = 'language_preference';

const botFrameworkAuthentication = new ConfigurationBotFrameworkAuthentication(process.env);

// See https://aka.ms/about-bot-adapter to learn more about adapters.
const adapter = new CloudAdapter(botFrameworkAuthentication);

// Catch-all for errors.
adapter.onTurnError = async (context, error) => {
    // This check writes out errors to console log .vs. app insights.
    // NOTE: In production environment, you should consider logging this to Azure
    //       application insights. See https://aka.ms/bottelemetry for telemetry
    //       configuration instructions.
    console.error(`\n [onTurnError] unhandled error: ${ error }`);

    // Send a trace activity, which will be displayed in Bot Framework Emulator
    await context.sendTraceActivity(
        'OnTurnError Trace',
        `${ error }`,
        'https://www.botframework.com/schemas/error',
        'TurnError'
    );

    // Send a message to the user - send through the adapater to skip the translation middleware (because it might throw)
    const conversationReference = TurnContext.getConversationReference(context.activity);
    await context.adapter.sendActivities(context, [
        TurnContext.applyConversationReference({ type: ActivityTypes.Message, text: 'The bot encountered an error or bug.' }, conversationReference),
        TurnContext.applyConversationReference({ type: ActivityTypes.Message, text: 'To continue to run this bot, please fix the bot source code.' }, conversationReference)]);
};

// Define a state store for your bot. See https://aka.ms/about-bot-state to learn more about using MemoryStorage.
// A bot requires a state store to persist the dialog and user state between messages.

// For local development, in-memory storage is used.
// CAUTION: The Memory Storage used here is for local bot debugging only. When the bot
// is restarted, everything stored in memory will be gone.
const memoryStorage = new MemoryStorage();
const userState = new UserState(memoryStorage);

const languagePreferenceProperty = userState.createProperty(LANGUAGE_PREFERENCE);

const translator = new MicrosoftTranslator(process.env.translatorKey);
adapter.use(new TranslatorMiddleware(translator, languagePreferenceProperty));

// Create the MultilingualBot.
const bot = new MultilingualBot(userState, languagePreferenceProperty);

// Create HTTP server.
const server = restify.createServer();
server.use(restify.plugins.bodyParser());

server.listen(process.env.port || process.env.PORT || 3978, function() {
    console.log(`\n${ server.name } listening to ${ server.url }.`);
    console.log('\nGet Bot Framework Emulator: https://aka.ms/botframework-emulator');
    console.log('\nTo talk to your bot, open the emulator select "Open Bot"');
});

// Listen for incoming activities and route them to your bot main dialog.
server.post('/api/messages', async (req, res) => {
    // Route received a request to adapter for processing
    await adapter.process(req, res, (context) => bot.run(context));
});