Node.js MS-Bot框架中的提示无限对话框

Node.js MS-Bot框架中的提示无限对话框,node.js,botframework,Node.js,Botframework,我正在Node.js上使用Bot框架。我想从文件中提取数量不确定的问题,然后提示用户回答所有问题。是否有任何方法可以循环一个对话框来完成此任务,或者是否有其他可行的解决方案?使用下面的逻辑,您应该能够循环浏览文件中的每个提示 bot.dialog('prompting', [ (session, args) => { if ('currentPrompt' in args) { let promptsData = promptRetrieve

我正在Node.js上使用Bot框架。我想从文件中提取数量不确定的问题,然后提示用户回答所有问题。是否有任何方法可以循环一个对话框来完成此任务,或者是否有其他可行的解决方案?

使用下面的逻辑,您应该能够循环浏览文件中的每个提示

bot.dialog('prompting', [
    (session, args) => {
        if ('currentPrompt' in args) {
            let promptsData = promptRetriever();
            session.conversationData.currentPrompt = args.currentPrompt;

            // switch statement so the correct type of prompt is sent to the user
            switch (args.promptType) {
                case 'text':
                    builder.Prompts.text(session, promptsData[args.currentPrompt].text);
                    break;
                case 'confirm':
                    builder.Prompts.confirm(session, promptsData[args.currentPrompt].text);
                    break;
                case 'number':
                    builder.Prompts.number(session, promptsData[args.currentPrompt].text);
                    break;
            }
        } else {
            let firstPrompt = promptRetriever()['prompt1'];
            session.conversationData.currentPrompt = 'prompt1';
            builder.Prompts.confirm(session, firstPrompt.text);
        }
    },
    (session, results) => {
        // Store the response for the value of the prompt on session.userData
        session.userData[session.conversationData.currentPrompt] = results.response;
        delete session.conversationData.currentPrompt;


        // Retrieve all the keys (prompts) from prompts.json
        let prompts = promptRetriever();

        // If the lengths are the same then every prompt has been asked, 
        // so respond with the user's answers.

        if (Object.keys(session.userData).length === Object.keys(prompts).length) {
            session.send('You answered all the prompts!')
                .send(`prompt1 result: ${session.userData.prompt1}`)
                .send(`prompt2 result: ${session.userData.prompt2}`)
                .send(`prompt3 result: ${session.userData.prompt3}`)
            session.endDialog('Ending dialog.');
        } else {
            let promptsKeys = Object.keys(prompts);
            for (let key in promptsKeys) {
                if (!(promptsKeys[key] in session.userData)) {
                    session.replaceDialog('prompting', {
                        currentPrompt: promptsKeys[key],
                        promptType: prompts[promptsKeys[key]].type }
                    );
                    break;
                }
            }

        }

    }
]).triggerAction({
    matches: /prompts/ig
});

// Helper function for accessing out prompts in json format

function promptRetriever() {
    return require('./prompts.json');
}
然后本例中使用的prompts.json的结构是:

{
    "prompt1": {
        "text": "Please say yes or no",
        "type": "confirm"
    },
    "prompt2": {
        "text": "Please say something",
        "type": "text"
    },
    "prompt3": {
        "text": "What is your age",
        "type": "number"
    }
}