Question

我正在开发一个具有LUIS功能的简单Bot Framework SDK v4聊天机器人。我从Echo机器人开始，目前正在连接到LUIS数据库。我已将应用程序设置更改为适合我的应用程序的键，但是，当我尝试运行机器人时，出现以下错误：无法解构属性“ applicationId”的“ undefined”或“ null”，导致我认为它无法访问.env文件。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的教程，因此对您的帮助将不胜感激。

Answer 1

您必须错过.env文件中的相关参数。我从我的角度进行了测试，并且效果很好。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);
    });
});

并在漫游器模拟器中进行测试：

Answer 2

@MdFaridUddinKiron的答案是如此接近！

您会收到此错误，因为在index.js中，您没有将luisApplication传递给MyBot。

就像@MdFaridUddinKiron的答案一样，您应该具有：

index.js

const bot = new LuisBot(luisApplication, luisPredictionOptions);

代替：

const bot = new LuisBot();

您提到您是一种新手（一般来说可能是编程的），所以我将添加一些其他帮助。

我强烈建议不要使用在线编辑器。 VS Code是免费的，真棒！如果您使用过它，则可能会向您显示一个错误，指出确切的错误所在。您可以通过以下方式使用它来编辑您的机器人：

下载并安装VS Code
在Azure门户中，打开Web App Bot资源，然后转到“构建”>“下载Bot源代码”：

将其解压缩并在VS Code中打开

完成编辑后，要将机器人部署/发布回Azure，请遵循the Deployment Docs

之后，我建议学习如何使用断点正确调试。我在 Debug 下的this answer中对其进行了细分。我在编程时就学到了WAYYY，为时已晚，对您有很大帮助。

Azure Bot Framework的在线代码编辑器-接收错误：分解属性'applicationID'为'undefined'或'null'

2 个答案: