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index.js
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index.js
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// 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 { BotFrameworkAdapter, MemoryStorage, UserState, ActivityTypes, TurnContext } = 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';
// 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 .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.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', (req, res) => {
// Route received a request to adapter for processing.
adapter.processActivity(req, res, async (context) => {
// Route to bot activity handler.
await bot.run(context);
});
});