回调中的Tornado IOLoop异常Celery worker中没有

时间:2014-10-03 07:10:27

标签: python mongodb celery tornado

我在tornado.ioloop工作者中使用celery因为我需要使用mongodb。

class WorkerBase():
    @gen.engine
    def foo(self,args,callback)
        bar = ['Python','Celery','Javascript','HTML']

        # ... process something ....

        callback(bar)

    @gen.engine
    def RunMyTask(self,args):

        result = yield gen.Task(self.foo,args=args)
        # Stop IOLoop instance
        IOLoop.instance().stop()


@task(name="MyWorker",base=WorkerBase)
def CeleryWorker(args):
    # This works because i'm adding base as WorkerBase
    CeleryWorker.RunMyTask(args)
    IOLoop.instance().start()
    return True

当我调用任务时,它会出错:

[2014-10-02 12:12:11,561: ERROR/Worker-4] Exception in callback None
Traceback (most recent call last):
    File "/var/www/myapp/env/local/lib/python2.7/site-packages/tornado/ioloop.py", line 832, in start
fd_obj, handler_func = self._handlers[fd]
KeyError: 16

[2014-10-02 12:12:11,561: ERROR/Worker-4] Exception in callback None
Traceback (most recent call last):
    File "/var/www/myapp/env/local/lib/python2.7/site-packages/tornado/ioloop.py", line 832, in start
fd_obj, handler_func = self._handlers[fd]
KeyError: 14

这些错误并不一致。是否有任何加薪条件?

2 个答案:

答案 0 :(得分:1)

这看起来像是一个线程问题。我不熟悉芹菜的线程模型,但看起来它正在启动CeleryWorker的多个副本,每个副本都试图运行相同的单例IOLoop.instance()。如果您要像这样运行它,每个工作线程都需要自己的IOLoop - 查看同步tornado.httpclient.HTTPClient创建和运行临时IOLoop的内容

答案 1 :(得分:0)

看起来你的工作任务只是在ioloop停止之前返回并被视为已完成,因此gen.engine的回调无法找到原始的stack_context。

@task(name="MyWorker",base=WorkerBase)
def CeleryWorker(args):
    # This works because i'm adding base as WorkerBase
    CeleryWorker.RunMyTask(args)
    IOLoop.instance().start()
    return True

我有一些建议

1)删除返回

@task(name="MyWorker",base=WorkerBase)
def CeleryWorker(args):
    # This works because i'm adding base as WorkerBase
    CeleryWorker.RunMyTask(args)
    IOLoop.instance().start()

2)使用run_sync

import functools

@task(name="MyWorker",base=WorkerBase)
def CeleryWorker(args):
    # This works because i'm adding base as WorkerBase
    func = functools.partial(CeleryWorker.RunMyTask, args)
    IOLoop.instance().run_sync(func)
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