Have you done the celery tutorial?
Async tasks require you to have a broker (rabbitmq or something) and also
to create some workers that actually execute the task.
On Fri, Jan 9, 2015 at 12:55 AM, Sugita Shinsuke <shinr...@gmail.com> wrote:
> Hi somecallitblues
>
> Thank you for replying.
> I installed Celery 3.1.17.
>
> And, I setup
>
> I created add method in tasks.py
>
> my tasks.py
> ----
> from __future__ import absolute_import
>
> from celery import shared_task
>
>
> @shared_task
> def add(x, y):
> return x + y
> ----
>
> I also called my add method from my view.
>
> hoge_view.py
> ---
> def run_celery(request):
> result = add.delay(3, 8)
> while not result.ready():
> print 'spam'
> print result.get()
> return HttpResponse("test")
> ---
>
> I called it from url.
>
> "error: timed out" was occurred.
>
> Why is it timed out? Could you help me?
>
>
> 2015年1月8日木曜日 19時19分20秒 UTC+9 somecallitblues:
>>
>> Look into celery. It's the best and easiest way to run bg jobs imo
>> On 08/01/2015 9:10 pm, "Sugita Shinsuke" <shin...@gmail.com> wrote:
>>
>>> Hi there.
>>>
>>> I'd like to run background application.
>>>
>>> I coded this code.
>>>
>>> I wrote the urls.py and I added in the view.
>>>
>>> def run_junix(request):
>>> cmd = "cd app_path;nohup python background_app.py &"
>>> import subprocess
>>> proc = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE,
>>> stderr=subprocess.STDOUT)
>>>
>>> return HttpResponse("bg test")
>>>
>>> Is it good way? or using supervisor or, if you know the better way,
>>> would you tell me?
>>>
>>> Anyone who know this matter, please help.
>>>
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