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Top 10 Examples of "botbuilder-lg in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'botbuilder-lg' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

function updateDiagnostics(document: vscode.TextDocument, collection: vscode.DiagnosticCollection): void {
    // special case
    if(document.fileName.endsWith('.git')) {
        return;
    }
    
	if (util.isLgFile(document.fileName)) {
        var diagnostics = new StaticChecker().checkFile(document.uri.fsPath);
        var vscodeDiagnostics: vscode.Diagnostic[] = [];
        const confDiagLevel = vscode.workspace.getConfiguration().get('LG.Expression.ignoreUnknownFunction');
        const confCustomFuncListSetting: string = vscode.workspace.getConfiguration().get('LG.Expression.customFunctionList');
        var customFunctionList: string[] = [];
        if (confCustomFuncListSetting.length >= 1) {
            customFunctionList = confCustomFuncListSetting.split(",").map(u => u.trim());
        }
        diagnostics.forEach(u => {
            const isUnkownFuncDiag: boolean = u.message.includes("it's not a built-in function or a customized function in expression");
            if (isUnkownFuncDiag === true){
                let ignored = false;
                const funcName = extractFuncName(u.message);
                console.log(funcName);
                if (customFunctionList.includes(funcName)) {
                    ignored = true;
                } else {
const { BotFrameworkAdapter, ConversationState, MemoryStorage, UserState, ActivityFactory } = require('botbuilder');

// Import our custom bot class that provides a turn handling function.
const { DialogBot } = require('./bots/dialogBot');
const { UserProfileDialog } = require('./dialogs/userProfileDialog');

// Create the adapter. See https://aka.ms/about-bot-adapter to learn more about using information from
// the .bot file when configuring your adapter.
const adapter = new BotFrameworkAdapter({
    appId: process.env.MicrosoftAppId,
    appPassword: process.env.MicrosoftAppPassword
});

// Create template engine for language generation.
const templatesPerLocale = new Map();
templatesPerLocale.set('', Templates.parseFile(`${__dirname}/Resources/adapterWithErrorHandler.lg`)),
templatesPerLocale.set('fr', Templates.parseFile(`${__dirname}/Resources/adapterWithErrorHandler.fr-fr.lg`));
const multiLangLG = new MultiLanguageLG(templatesPerLocale);

// 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.
    let langResponse = multiLangLG.generate('SomethingWentWrong', {
        message: `${ error }`
    }, context.activity.locale);
    console.error(langResponse);

    // Send a trace activity, which will be displayed in Bot Framework Emulator
    await context.sendTraceActivity(
// Import required bot services.
// See https://aka.ms/bot-services to learn more about the different parts of a bot.
const { BotFrameworkAdapter, MemoryStorage, ConversationState, UserState } = require('botbuilder');

// This bot's main dialog.
const { RichCardsBot } = require('./bots/richCardsBot');
const { MainDialog } = require('./dialogs/mainDialog');

// 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
});

// Create template engine for language generation.
const lgTemplates = Templates.parseFile('./resources/AdapterWithErrorHandler.lg');

// 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(lgTemplates.evaluate('SomethingWentWrong', {
        message: `${ error }`
    }));

    // Send a trace activity, which will be displayed in Bot Framework Emulator
    await context.sendTraceActivity(
        'OnTurnError Trace',
        `${ error }`,
        'https://www.botframework.com/schemas/error',
// Create HTTP server
const server = restify.createServer();
server.listen(process.env.port || process.env.PORT || 3978, () => {
    console.log(`\n${ 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"');
});

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

const lgTemplates = Templates.parseFile(path.join(__dirname, './resources/AdapterWithErrorHandler.lg'));

// Catch-all for errors.
const onTurnErrorHandler = 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(lgTemplates.evaluate('SomethingWentWrong', {
        message: `${ 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',
const { MainDialog } = require('./dialogs/mainDialog');

// the bot's booking dialog
const { BookingDialog } = require('./dialogs/bookingDialog');
const BOOKING_DIALOG = 'bookingDialog';

// 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
});

// Create template engine for language generation.
console.log(path.join(__dirname, './resources/AdapterWithErrorHandler.lg'));
const lgTemplates = Templates.parseFile(path.join(__dirname, './resources/AdapterWithErrorHandler.lg'));

// 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(lgTemplates.evaluate('SomethingWentWrong', {
        message: `${ 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',
// Copyright (c) Microsoft Corporation.
// Licensed under the MIT License.

import { LGParser, StaticChecker, DiagnosticSeverity, Diagnostic } from 'botbuilder-lg';
import get from 'lodash/get';

import { FileInfo, LgFile, LgTemplate } from './type';
import { getBaseName } from './utils/help';

const lgStaticChecker = new StaticChecker();

function index(files: FileInfo[]): LgFile[] {
  if (files.length === 0) return [];
  const lgFiles: LgFile[] = [];
  for (const file of files) {
    if (file.name.endsWith('.lg')) {
      const diagnostics = lgStaticChecker.checkText(file.content, file.path);
      let templates: LgTemplate[] = [];
      try {
        templates = parse(file.content, '');
      } catch (err) {
        console.error(err);
      }
      lgFiles.push({
        id: getBaseName(file.name, '.lg'),
        relativePath: file.relativePath,
// Import our custom bot class that provides a turn handling function.
const { DialogBot } = require('./bots/dialogBot');
const { UserProfileDialog } = require('./dialogs/userProfileDialog');

// Create the adapter. See https://aka.ms/about-bot-adapter to learn more about using information from
// the .bot file when configuring your adapter.
const adapter = new BotFrameworkAdapter({
    appId: process.env.MicrosoftAppId,
    appPassword: process.env.MicrosoftAppPassword
});

// Create template engine for language generation.
const templatesPerLocale = new Map();
templatesPerLocale.set('', Templates.parseFile(`${__dirname}/Resources/adapterWithErrorHandler.lg`)),
templatesPerLocale.set('fr', Templates.parseFile(`${__dirname}/Resources/adapterWithErrorHandler.fr-fr.lg`));
const multiLangLG = new MultiLanguageLG(templatesPerLocale);

// 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.
    let langResponse = multiLangLG.generate('SomethingWentWrong', {
        message: `${ error }`
    }, context.activity.locale);
    console.error(langResponse);

    // Send a trace activity, which will be displayed in Bot Framework Emulator
    await context.sendTraceActivity(
        'OnTurnError Trace',
        `${ langResponse }`,
constructor() {
        super('MainDialog');

        // Define the main dialog and its related components.
        this.addDialog(new ChoicePrompt('cardPrompt'));
        this.addDialog(new WaterfallDialog(MAIN_WATERFALL_DIALOG, [
            this.choiceCardStep.bind(this),
            this.showCardStep.bind(this)
        ]));

        // The initial child Dialog to run.
        this.initialDialogId = MAIN_WATERFALL_DIALOG;

        this.lgTemplates = Templates.parseFile('./resources/MainDialog.lg');
    }
constructor(conversationState, userState, dialog) {
        super(conversationState, userState, dialog);

        const lgTemplates = Templates.parseFile('./resources/welcomeCard.lg');

        // Actions to include in the welcome card. These are passed to LG and are then included in the generated Welcome card.
        const actions = {
            actions: [
                {
                    title: 'Get an overview',
                    url: 'https://docs.microsoft.com/en-us/azure/bot-service/?view=azure-bot-service-4.0'
                },
                {
                    title: 'Ask a question',
                    url: 'https://stackoverflow.com/questions/tagged/botframework'
                },
                {
                    title: 'Learn how to deploy',
                    url: 'https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-deploy-azure?view=azure-bot-service-4.0'
                }
constructor() {
        super('userProfileDialog');
        let lgFile = Templates.parseFile(path.join(__dirname, "userProfileDialog.lg"));
        let userProfileAdaptiveDialog = new AdaptiveDialog(ROOT_DIALOG).configure({
            generator: new TemplateEngineLanguageGenerator(lgFile),
            triggers: [
                new OnBeginDialog([
                    // Ask for user's age and set it in user.userProfile scope.
                    new TextInput().configure(
                    {
                        // Set the output of the text input to this property in memory.
                        property: new StringExpression("user.userProfile.Transport"),
                        prompt: new ActivityTemplate("${ModeOfTransportPrompt.Text()}")
                    }),
                    new TextInput().configure(
                    {
                        property: new StringExpression("user.userProfile.Name"),
                        prompt: new ActivityTemplate("${AskForName()}")
                    }),

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