Online code editor for Azure Bot Framework - Receiving error: destructure property 'applicationID' of 'undefined' or 'null'

Online code editor for Azure Bot Framework - Receiving error: destructure property 'applicationID' of 'undefined' or 'null'

我正在开发具有 LUIS 功能的简单 Bot Framework SDK v4 聊天机器人。我从 Echo 机器人开始,正在连接到我的 LUIS 数据库。我已将应用程序设置更改为适用于我的应用程序的密钥,但是,当我尝试 运行 机器人时,出现此错误:无法解构 属性 'applicationId' of 'undefined' 或 'null',让我认为访问 .env 文件时遇到问题。 这是我的 bot.js 代码:

const { ActivityHandler } = require('botbuilder');
const { BotFrameworkAdapter } = require('botbuilder');
const { LuisRecognizer } = require('botbuilder-ai');

class LuisBot {
    constructor(application, luisPredictionOptions) {
        this.luisRecognizer = new LuisRecognizer(application, luisPredictionOptions);
    }

    async onTurn(turnContext) {
    // Make API call to LUIS with turnContext (containing user message)
    const results = await this.luisRecognizer.recognize(turnContext);

    // Extract top intent from results
    const topIntent = results.luisResult.topScoringIntent;
    switch (topIntent.intent) {
        case 'Greeting':
            await turnContext.sendActivity('Hey! Ask me something to get started.');
            break;

        case 'UpdateInfo':
            await updateInfoIntent.handleIntent(turnContext);
            break;
        }
    }
}

这是我的 index.js 代码:

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

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

// Import required bot services.
// See https://aka.ms/bot-services to learn more about the different parts of a bot.
const { BotFrameworkAdapter } = require('botbuilder');

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

// Import required bot configuration.
const ENV_FILE = path.join(__dirname, '.env');

dotenv.config({ path: ENV_FILE });

// 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"`);
});

const luisApplication = {
    applicationId: process.env.LuisAppId,
    endpointKey: process.env.LuisAuthoringKey,
    azureRegion: process.env.LuisAzureRegion
};

const luisPredictionOptions = {
    includeAllIntents: true,
    log: true,
    staging: false
};

// 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,
    channelService: process.env.ChannelService,
    openIdMetadata: process.env.BotOpenIdMetadata
});


// Catch-all for errors.
adapter.onTurnError = async (context, error) => {
    // This check writes out errors to console log .vs. app insights.
    console.error(`\n [onTurnError]: ${ error }`);

    // Send a message to the user
    await context.sendActivity(`Oops. Something went wrong!`);
};

// Create the main dialog.
const bot = new LuisBot();

// Listen for incoming requests.
server.post('/api/messages', (req, res) => {
    adapter.processActivity(req, res, async (context) => {
        // Route to main dialog.
        await bot.run(context);
    });
});

我显然是 bot 框架和 node.js 的初学者,并且我已经阅读了大量教程,因此非常感谢任何帮助。

您的.env 文件中一定缺少相关参数。我身边有一个测试,效果很好。 这是 .env 文件:

这是bot2.js

const { ActivityHandler } = require('botbuilder');
const { BotFrameworkAdapter } = require('botbuilder');
const { LuisRecognizer } = require('botbuilder-ai');

class LuisBot {
    constructor(application, luisPredictionOptions) {
        this.luisRecognizer = new LuisRecognizer(application, luisPredictionOptions, true);
    }
    async onTurn(turnContext) {
        // Make API call to LUIS with turnContext (containing user message)
        try {
            const results = await this.luisRecognizer.recognize(turnContext);

            //console.log(results);
            // Extract top intent from results
            const topIntent = results.luisResult.topScoringIntent;
            switch (topIntent.intent) {
                case 'Greeting':
                    await turnContext.sendActivity('Hey! Ask me something to get started.');
                    break;

                case 'UpdateInfo':
                    await updateInfoIntent.handleIntent(turnContext);
                    break;
                default:
                    await turnContext.sendActivity('Hey!');
            }
        } catch (error) {
        }
    }
}
module.exports.LuisBot = LuisBot;

这是index.js:

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

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

// Import required bot services.
// See https://aka.ms/bot-services to learn more about the different parts of a bot.
const { BotFrameworkAdapter } = require('botbuilder');

// This bot's main dialog.
// const { EchoBot } = require('./bot');
const { LuisBot } = require('./bot2');

// Import required bot configuration.
const ENV_FILE = path.join(__dirname, '.env');
dotenv.config({ path: ENV_FILE });

// 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,
    channelService: process.env.ChannelService,
    openIdMetadata: process.env.BotOpenIdMetadata
});

const luisApplication = {
    applicationId: process.env.LuisAppId,
    endpointKey: process.env.LuisAuthoringKey,
    azureRegion: process.env.LuisAzureRegion
};
const luisPredictionOptions = {
    includeAllIntents: true,
    log: true,
    staging: false
};

// Catch-all for errors.
adapter.onTurnError = async (context, error) => {
    // This check writes out errors to console log .vs. app insights.
    console.error(`\n [onTurnError]: ${ error }`);
    // Send a message to the user
    await context.sendActivity(`Oops. Something went wrong!`);
};

// Create the main dialog.
// const bot = new EchoBot();
// Create the main dialog.
const bot = new LuisBot(luisApplication, luisPredictionOptions);

// Listen for incoming requests.
server.post('/api/messages', (req, res) => {
    // console.log(process.env.LuisAppId);
    adapter.processActivity(req, res, async (context) => {
        // Route to main dialog.
        // console.log(process.env.LuisAppId);
        await bot.onTurn(context);
    });
});

并在机器人模拟器中测试:

@MdFaridUddinKiron 的回答太接近了!

您收到该错误是因为在 index.js 中,您没有将 luisApplication 传递给 MyBot

就像@MdFaridUddinKiron 的回答一样,你应该:

index.js

const bot = new LuisBot(luisApplication, luisPredictionOptions);

而不是:

const bot = new LuisBot();

你提到你是新手(一般来说可能是编程方面的),所以我会添加一些额外的帮助。

我强烈、强烈、强烈建议不要使用在线编辑器。 VS Code 免费而且很棒!如果您使用它,它可能会向您显示一个错误,指出到底出了什么问题。您可以使用它来编辑您的机器人:

  1. 正在下载并安装 VS Code
  2. 在 Azure 门户中,打开您的 Web App Bot 资源并转到“构建”>“下载 Bot 源代码”:

  1. 解压并在 VS Code 中打开

当您完成编辑并且想要 deploy/publish 将您的机器人返回 Azure 时,请按照 the Deployment Docs

之后,我建议学习如何使用断点进行正确调试。我在 this answerDebug 下对其进行了一些分解。我在编程中学到这个 WAYYY 太晚了,它非常有帮助。