Azure Function Bot with LUIS sample

index.js

/*----------------------------------------------------------------------------------------
* Azure Functions bot templates use Azure Functions Pack for optimal performance, get 
* familiar with Azure Functions Pack at https://github.com/Azure/azure-functions-pack

* This template demonstrates how to use an IntentDialog with a LuisRecognizer to add 
* natural language support to a bot. 
* For a complete walkthrough of creating this type of bot see the article at
* https://aka.ms/abs-node-luis
* ---------------------------------------------------------------------------------------- */

"use strict";
var builder = require("botbuilder");
var botbuilder_azure = require("botbuilder-azure");
var path = require('path');

var useEmulator = (process.env.NODE_ENV == 'development');

var connector = useEmulator ? new builder.ChatConnector() : new botbuilder_azure.BotServiceConnector({
    appId: process.env['MicrosoftAppId'],
    appPassword: process.env['MicrosoftAppPassword'],
    openIdMetadata: process.env['BotOpenIdMetadata']
});

/*----------------------------------------------------------------------------------------
* Bot Storage: This is a great spot to register the private state storage for your bot. 
* We provide adapters for Azure Table, CosmosDb, SQL Azure, or you can implement your own!
* For samples and documentation, see: https://github.com/Microsoft/BotBuilder-Azure
* ---------------------------------------------------------------------------------------- */

var tableName = 'botdata';
var azureTableClient = new botbuilder_azure.AzureTableClient(tableName, process.env['AzureWebJobsStorage']);
var tableStorage = new botbuilder_azure.AzureBotStorage({ gzipData: false }, azureTableClient);

// Create your bot with a function to receive messages from the user
// This default message handler is invoked if the user's utterance doesn't
// match any intents handled by other dialogs.
var bot = new builder.UniversalBot(connector, function (session, args) {
    session.send('You reached the default message handler. You said \'%s\'.', session.message.text);
});

bot.localePath(path.join(__dirname, './locale'));
bot.set('storage', tableStorage);

// Make sure you add code to validate these fields
var luisAppId = process.env.LuisAppId;
var luisAPIKey = process.env.LuisAPIKey;
var luisAPIHostName = process.env.LuisAPIHostName || 'westus.api.cognitive.microsoft.com';

const LuisModelUrl = 'https://' + luisAPIHostName + '/luis/v2.0/apps/' + luisAppId + '?subscription-key=' + luisAPIKey;

// Create a recognizer that gets intents from LUIS, and add it to the bot
var recognizer = new builder.LuisRecognizer(LuisModelUrl);
bot.recognizer(recognizer);

// Add a dialog for each intent that the LUIS app recognizes.
// See https://docs.microsoft.com/en-us/bot-framework/nodejs/bot-builder-nodejs-recognize-intent-luis 
bot.dialog('GreetingDialog',
    (session) => {
        session.send('You reached the Greeting intent. You said \'%s\'.', session.message.text);
        session.endDialog();
    }
).triggerAction({
    matches: 'Greeting'
})

bot.dialog('HelpDialog',
    (session) => {
        session.send('You reached the Help intent. You said \'%s\'.', session.message.text);
        session.endDialog();
    }
).triggerAction({
    matches: 'Help'
})

bot.dialog('CancelDialog',
    (session) => {
        session.send('You reached the Cancel intent. You said \'%s\'.', session.message.text);
        session.endDialog();
    }
).triggerAction({
    matches: 'Cancel'
}) 

if (useEmulator) {
    var restify = require('restify');
    var server = restify.createServer();
    server.listen(3978, function() {
        console.log('test bot endpont at http://localhost:3978/api/messages');
    });
    server.post('/api/messages', connector.listen());    
} else {
    module.exports = connector.listen();
}