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');
const restify = require('restify');

// Import required services for bot telemetry
const { ApplicationInsightsTelemetryClient, TelemetryInitializerMiddleware } = require('botbuilder-applicationinsights');
const { TelemetryLoggerMiddleware } = require('botbuilder-core');

// Import required bot services. See https://aka.ms/bot-services to learn more about the different parts of a bot.
const { BotFrameworkAdapter, ConversationState, InputHints, MemoryStorage, NullTelemetryClient, UserState } = require('botbuilder');
const { FlightBookingRecognizer } = require('./dialogs/flightBookingRecognizer');

// This bot's main dialog.
const { DialogAndWelcomeBot } = require('./bots/dialogAndWelcomeBot');
const { MainDialog } = require('./dialogs/mainDialog');
const { BookingDialog } = require('./dialogs/bookingDialog');
const BOOKING_DIALOG = 'bookingDialog';

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

// Create adapter.
// See https://aka.ms/about-bot-adapter to learn more about adapters.
const adapter = new BotFrameworkAdapter({
    appId: process.env.MicrosoftAppId,
    appPassword: process.env.MicrosoftAppPassword
});

// Catch-all for errors.
adapter.onTurnError = async (context, error) => {
    // This check writes out errors to console log
    // NOTE: In production environment, you should consider logging this to Azure
    //       application insights.
    console.error(`\n [onTurnError]: ${ error }`);
    // Send a message to the user
    const onTurnErrorMessage = 'Sorry, it looks like something went wrong!';
    await context.sendActivity(onTurnErrorMessage, onTurnErrorMessage, InputHints.ExpectingInput);
    // Clear out state
    await conversationState.delete(context);
};

// Add telemetry middleware to the adapter middleware pipeline
var telemetryClient = getTelemetryClient(process.env.InstrumentationKey);
var telemetryLoggerMiddleware = new TelemetryLoggerMiddleware(telemetryClient, true);
var initializerMiddleware = new TelemetryInitializerMiddleware(telemetryLoggerMiddleware, true);
adapter.use(initializerMiddleware);

// 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, anything stored in memory will be gone.
const memoryStorage = new MemoryStorage();
const conversationState = new ConversationState(memoryStorage);
const userState = new UserState(memoryStorage);

// If configured, pass in the FlightBookingRecognizer.  (Defining it externally allows it to be mocked for tests)
const { LuisAppId, LuisAPIKey, LuisAPIHostName } = process.env;
const luisConfig = { applicationId: LuisAppId, endpointKey: LuisAPIKey, endpoint: `https://${ LuisAPIHostName }` };

const luisRecognizer = new FlightBookingRecognizer(luisConfig);

// Create the main dialog.
const bookingDialog = new BookingDialog();
const dialog = new MainDialog(luisRecognizer, bookingDialog);
dialog.telemetryClient = telemetryClient;

const bot = new DialogAndWelcomeBot(conversationState, userState, dialog);

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

// Enable the Application Insights middleware, which helps correlate all activity
// based on the incoming request.
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');
});

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

// Creates a new TelemetryClient based on a instrumentation key
function getTelemetryClient(instrumentationKey) {
    if (instrumentationKey) {
        return new ApplicationInsightsTelemetryClient(instrumentationKey);
    }
    return new NullTelemetryClient();
}