Node JS:将响应对象传递给服务器端事件的 Bull 队列

Node JS: Passing Response Object to Bull Queue for Server Side Events

我陷入了架构决策。我有 Node + Express 应用程序,它有一个 API 来上传文件。上传完成后,响应关闭,上传的文件在 Bull Queue + Redis 的帮助下由 FFMPEG 批量处理。这种结构工作正常,但最近我开始测试服务器端事件,以向最终用户提供有关处理的更新。但是我无法将响应对象传递给 Bull Queue 以从服务器向用户写入定期更新。

1.进口

import childProcess from 'child_process';
import Bull from 'bull'
const Queue = new Bull('background_job', {redis: {port: process.env.port, host: process.env.host, password: process.env.password}});

2。上传功能

const uploadVideo = async(req, res) => {
    try{
        const result = await authUser(req);
        const result2 = await checkUploadFile(result);
        const result3 = await insertPost(result2, res);
        await Queue.add(result3.data, result3.opts)
    } catch(err){
        res.status(403).send(err);
    }
}

3。承诺

const authUser = (req) => {
    return new Promise((resolve, reject) => {
      //do some work
    })
}

const checkUploadFile = (result) => {
    return new Promise((resolve, reject) => {
      //do some more work
    })
}

const insertPost= (result, res) => {
    return new Promise((resolve, reject) => {
      //do final work
       ...........
      //preparing server side events
       const headers = {
            'Content-Type': 'text/event-stream',
            'Connection': 'keep-alive',
            'Cache-Control': 'no-cache',
            'Access-Control-Allow-Origin': '*'
        };
        res.writeHead(200, headers);
        res.write(JSON.stringify({status: true, id: 1})); //testing server side events for the first time

        //Let's continue to Bull
        const data = {res: res} <- error here: TypeError: Converting circular structure to JSON 
        const opts = {removeOnComplete: true, removeOnFail: true}
        resolve({data: data, opts: opts});
    })
}

4.队列进程

Queue.process((job, done) => {
    const res = job.data.res
    childProcess.execFile('someScript.sh', [`some`, `arguments`], { stdio: ['pipe', 'pipe', 'ignore']}, (err, stderr, stdout) => {
        if(err){
            done(new Error("Failed: " + err))
            res.write(JSON.stringify({status: true, id: 2})); //here using SSE
            res.end()
        } else {
            done()
            res.write(JSON.stringify({status: false})); //here using SSE
            res.end()
        }
    })
})

5. PM2

记录的错误
TypeError: Converting circular structure to JSON
    --> starting at object with constructor 'Socket'
    |     property 'parser' -> object with constructor 'HTTPParser'
    --- property 'socket' closes the circle

我尝试使用 JSON.stringify(res) 将响应对象作为 JSON 传递,但这也不起作用。现在我正在考虑这种方法是否正确,或者我应该使用 Socket.io (这对于简单的服务器端事件来说是一种矫枉过正)

谢谢

你为什么要写这行:

const data = {res: res} <- error here: TypeError: Converting circular structure to JSON.

您仍然可以访问调用 insertPost 的 uploadVideo 函数中的响应对象。所以它可以简单地是:

await Queue.add(res, result3.opts).

例如:

const uploadVideo = async(req, res) => {
    try{
        const result = await authUser(req);
        const result2 = await checkUploadFile(result);
        const result3 = await insertPost(result2, res);
        await Queue.add(res, result3.opts); // still have access to res
    } catch(err){
        res.status(403).send(err);
    }

删除这一行:

const data = {res: res} <- error here: TypeError: Converting circular structure to JSON 

只需使用响应

Queue.process((res, done) => {
    //const res = job.data.res
    childProcess.execFile('someScript.sh', [`some`, `arguments`], { stdio: ['pipe', 'pipe', 'ignore']}, (err, stderr, stdout) => {
        if(err){
            done(new Error("Failed: " + err))
            res.write(JSON.stringify({status: true, id: 2})); //here using SSE
            res.end()
        } else {
            done()
            res.write(JSON.stringify({status: false})); //here using SSE
            res.end()
        }
    })
});

编辑:

我明白你的意思了。看了一下 bull 模块。为什么你不能做这样的事情。

const uploadVideo = async(req, res) => {
  try{
      res.jobId = 0; // we need a way to know if job completed is our request          const result = await authUser(req);
      const result2 = await checkUploadFile(result);
      const result3 = await insertPost(result2, res);
      Queue.add({id: res.jobId, somedatafromresult3: 'result3.somedata' }, result3.opts);
      Queue.on("completed", (err, data) => {
        if (data.id === res.jobId) { // check to see if completed job is our one.
          res.write(JSON.stringify(data)); //here using SSE
          res.end()
        }
        console.log(data);
      });
  } catch(err){
      res.status(403).send(err);
  }
}

然后在您的处理函数中,只需 return 将要发出的数据。即

  videoQueue.process(function(job, done){
  childProcess.execFile('someScript.sh', [`some`, `arguments`], { stdio: ['pipe', 'pipe', 'ignore']}, (err, stderr, stdout) => {
    if(err){
        done(err, {status: true, id: job.data.id});
    } else {
      done(null, {status: false, id: job.data.id});
    }
})
})

;

您可以使用 job.progress() 与通过 SSE 连接到客户端的路由进行通信。使用 job.progress(percent) 更新进度,传入一个数字。然后,Express 路由范围可以在此基础上旋转,并随着作业的进行向客户端发出 SSE 事件。

这是一个基本的 运行 可用示例作为概念证明,您可以将处理、错误处理和 job.progress 以及 SSE 逻辑添加到其中。

const express = require("express");
const fs = require("fs").promises;
const path = require("path");
const Queue = require("bull");

const sleep = (ms=1000) =>
  new Promise(resolve => setTimeout(resolve, ms))
;

const queue = new Queue("test", process.env.REDIS_URL);
queue.process(4, async job => {
  for (let i = 1; i <= job.data.seconds; i++) {
    await job.progress(i / job.data.seconds * 100 | 0);
    await sleep();
  }

  return Promise.resolve(`job ${job.id} complete!`);
});

const app = express();
app
  .set("port", process.env.PORT || 5000)
  .get("/", async (req, res) => {
    try {
      res.set({
        "Access-Control-Allow-Origin": "*",
        "Cache-Control": "no-cache",
        "Connection": "keep-alive",
        "Content-Type": "text/event-stream",
      });
      res.flushHeaders();

      const job = await queue.add({
        seconds: Math.abs(+req.query.seconds) || 10,
      });

      let connected = true;
      res.on("close", () => {
        connected = false;
      });
  
      for (; connected; await sleep()) {
        const j = await queue.getJob(job.id);
        const progress = await j.progress();
        res.write(`${progress}\n`);

        if (progress >= 100) { // TODO handle job errors
          break;
        }
      }

      res.write(await job.finished());
    }
    catch (err) {
      res.write(err.message);
    }
    finally {
      res.end();
    }
  })
  .listen(app.get("port"), () =>
    console.log(`server listening on port ${app.get("port")}`)
  )
;

样本运行:

$ curl localhost:5000
0
10
20
30
40
50
60
70
80
90
100
job 64 complete!

另请参阅 ,其中有一个可以读取响应流的示例客户端。