Python 我是一个芹菜初学者，被困在非常基本的用法。。。甚至无法进入任务。延迟（）

作为一名烧瓶初学者，我试图在我的简单烧瓶web项目中添加芹菜异步功能。在成功安装并启动芹菜、redis和相关的python pip之后，我一开始就在努力解决delay（）问题。看来我甚至都进不去了。我很沮丧，你能帮帮我吗

我的flask项目下有app.py和tasks.py。（起初，我在app.py中写下了所有内容，然后我将芹菜对象拆分出来，这没有帮助）

tasks.py：

from celery import Celery

celery = Celery('app', broker='redis://localhost:6379/0', backend='redis://localhost:6379/1')


@celery.task
def modeling_task():
    print('yes')

app.py：

@app.route('/train', methods=['GET', 'POST'])
def train():
    if request.method == "GET":
        return render_template('train.html')
    else:  # when request POST
        # check if the post request has the file part
        if 'file' not in request.files:
            return jsonify({"code": 500, "status": 'No file is uploaded!'})

        if file and allowed_file(file.filename):
            print(request.files['file'].filename)
            print('before task')
            task = modeling_task.delay()
            print('after task')

            return jsonify({"code": 200, "status": 'model training', "task_id": task.id})

        return 'Uploading file is wrong'

如果一切正常，服务器收到上传文件后，控制台上的打印结果应该是

Car_TEST.csv
before task
yes
after task

然而，控制台的结果就是这样

 * Detected change in 'C:\\Users\\headmaster\\Desktop\\WEB\\tasks.py', reloading
 * Restarting with stat
 * Debugger is active!
 * Debugger PIN: 308-608-393
 * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
127.0.0.1 - - [22/Apr/2020 11:39:22] "GET /train HTTP/1.1" 200 -
Car_TEST.csv
before task

服务器卡在这里，一直在运行

因此，服务器似乎甚至没有运行“task=modeling_task.delay（）”，否则它应该在控制台上打印“yes”，对吗

它会在另一个地方打印“是”吗？为什么会卡住

芹菜报告

输出：

下面是芹菜信息：

(base) C:\Users\headmaster\Desktop\WEB>celery worker -A tasks.celery --loglevel=info

 -------------- celery@LAPTOP-KLKJCK2F v4.4.2 (cliffs)
--- ***** -----
-- ******* ---- Windows-10-10.0.18362-SP0 2020-04-22 10:55:13
- *** --- * ---
- ** ---------- [config]
- ** ---------- .> app:         app:0x2526977ac08
- ** ---------- .> transport:   redis://localhost:6379/0
- ** ---------- .> results:     redis://localhost:6379/1
- *** --- * --- .> concurrency: 4 (prefork)
-- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
--- ***** -----
 -------------- [queues]
                .> celery           exchange=celery(direct) key=celery


[tasks]
  . tasks.modeling_task

[2020-04-22 10:55:15,501: INFO/SpawnPoolWorker-1] child process 6692 calling self.run()
[2020-04-22 10:55:15,511: INFO/SpawnPoolWorker-2] child process 17736 calling self.run()
[2020-04-22 10:55:15,518: INFO/SpawnPoolWorker-3] child process 16320 calling self.run()
[2020-04-22 10:55:15,571: INFO/SpawnPoolWorker-4] child process 5608 calling self.run()
[2020-04-22 10:55:15,972: INFO/MainProcess] Connected to redis://localhost:6379/0
[2020-04-22 10:55:20,332: INFO/MainProcess] mingle: searching for neighbors
[2020-04-22 10:55:27,369: INFO/MainProcess] mingle: all alone
[2020-04-22 10:55:35,402: INFO/MainProcess] celery@LAPTOP-KLKJCK2F ready.

redis信息：

PS D:\Applications\Redis> redis-server redis.conf
                _._
           _.-``__ ''-._
      _.-``    `.  `_.  ''-._           Redis 3.2.100 (00000000/0) 64 bit
  .-`` .-```.  ```\/    _.,_ ''-._
 (    '      ,       .-`  | `,    )     Running in standalone mode
 |`-._`-...-` __...-.``-._|'` _.-'|     Port: 6379
 |    `-._   `._    /     _.-'    |     PID: 21420
  `-._    `-._  `-./  _.-'    _.-'
 |`-._`-._    `-.__.-'    _.-'_.-'|
 |    `-._`-._        _.-'_.-'    |           http://redis.io
  `-._    `-._`-.__.-'_.-'    _.-'
 |`-._`-._    `-.__.-'    _.-'_.-'|
 |    `-._`-._        _.-'_.-'    |
  `-._    `-._`-.__.-'_.-'    _.-'
      `-._    `-.__.-'    _.-'
          `-._        _.-'
              `-.__.-'

[21420] 22 Apr 10:38:22.506 # Server started, Redis version 3.2.100
[21420] 22 Apr 10:38:22.508 * DB loaded from disk: 0.000 seconds
[21420] 22 Apr 10:38:22.508 * The server is now ready to accept connections on port 6379
[21420] 22 Apr 10:43:23.025 * 10 changes in 300 seconds. Saving...
[21420] 22 Apr 10:43:23.030 * Background saving started by pid 6204
[21420] 22 Apr 10:43:23.231 # fork operation complete
[21420] 22 Apr 10:43:23.232 * Background saving terminated with success
[21420] 22 Apr 10:51:18.099 * 10 changes in 300 seconds. Saving...
[21420] 22 Apr 10:51:18.103 * Background saving started by pid 10116
[21420] 22 Apr 10:51:18.305 # fork operation complete
[21420] 22 Apr 10:51:18.306 * Background saving terminated with success
[21420] 22 Apr 10:56:19.022 * 10 changes in 300 seconds. Saving...
[21420] 22 Apr 10:56:19.026 * Background saving started by pid 11748
[21420] 22 Apr 10:56:19.227 # fork operation complete
[21420] 22 Apr 10:56:19.227 * Background saving terminated with success

---

这有点陈腐，但希望能对你有所帮助

基本上，flask可以阻止进程，并且不允许在dev env中的windows上生成芹菜函数调用/任务（即使设置了fork进程），甚至在利用此处的信息时也是如此

如果您有一个要移植到windows的生产设置，您可能看不到问题。我建议在windows上的开发环境中为flask应用程序安装wsgi包装器

创建一个名为

wsgi.py的文件

from gevent.pywsgi import WSGIServer # <--- install gevent if you dont have it
from app import app # <--- flask app

http_server = WSGIServer(('', <port>), app)
http_server.serve_forever()

从gevent.pywsgi导入WSGIServer#所以这有点过时，但希望这对您有所帮助

基本上，flask可以阻止进程，并且不允许在dev env中的windows上生成芹菜函数调用/任务（即使设置了fork进程），甚至在利用此处的信息时也是如此

如果您有一个要移植到windows的生产设置，您可能看不到问题。我建议在windows上的开发环境中为flask应用程序安装wsgi包装器

创建一个名为
wsgi.py的文件

from gevent.pywsgi import WSGIServer # <--- install gevent if you dont have it
from app import app # <--- flask app

http_server = WSGIServer(('', <port>), app)
http_server.serve_forever()

从gevent.pywsgi导入WSGIServer#