python - Cómo configurar el archivo apiogefig en django

amazon-ec2 celery

Question

Tengo un proyecto Django en un nodo Ubuntu EC2, que he estado usando para configurar un uso asíncrono de Celery . He intentado seguir http://michal.karzynski.pl/blog/2014/05/18/setting-up-an-asynchronous-task-queue-for-django-using-celery-redis/

Pude obtener una tarea básica trabajando en la línea de comando, usando:

(env1)ubuntu@ip-172-31-22-65:~/projects/tp$ celery --app=tp.celery:app worker --loglevel=INFO
(env1)ubuntu@ip-172-31-22-65:~/projects/tp$ celery --app=tp.celery:app worker --loglevel=INFO
-------------- celery@ip-172-31-22-65 v3.1.17 (Cipater)
---- **** -----
--- * *** * -- Linux-3.13.0-44-generic-x86_64-with-Ubuntu-14.04-trusty
-- * - **** ---
- ** ---------- [config]
- ** ---------- .> app: tp:0x7f66a89c0470
- ** ---------- .> transport: redis://localhost:6379/0
- ** ---------- .> results: disabled
- *** --- * --- .> concurrency: 1 (prefork)
-- ******* ----
--- ***** ----- [queues]
-------------- .> celery exchange=celery(direct) key=celery

Sin embargo, si ejecuto otros comandos de apio como a continuación, obtengo lo siguiente:

(env1)ubuntu@ip-172-31-22-65:~/projects/tp$ celery worker [2015-04-03 13:17:21,553: WARNING/MainProcess] /home/ubuntu/.virtualenvs/env1/lib/python3.4/site-packages/celery/apps/worker.py:161:
-------------- celery@ip-172-31-22-65 v3.1.17 (Cipater)
---- **** -----
--- * *** * -- Linux-3.13.0-44-generic-x86_64-with-Ubuntu-14.04-trusty
-- * - **** ---
- ** ---------- [config]
- ** ---------- .> app: default:0x7f1653eae7b8 (.default.Loader)
- ** ---------- .> transport: amqp://guest:**@localhost:5672//
- ** ---------- .> results: disabled
- *** --- * --- .> concurrency: 1 (prefork)
-- ******* ----
--- ***** ----- [queues]
-------------- .> celery exchange=celery(direct) key=celery
[2015-04-03 13:17:21,571: ERROR/MainProcess] consumer: Cannot connect to amqp://guest:**@127.0.0.1:5672//: [Errno 111] Connection refused.

Parece que el apio cree que estoy usando amqp como intermediario, ¡pero estoy usando redis!

En función de que Celery intenta conectarse con el intermediario equivocado , parece probable que el apio no pueda encontrar el archivo de configuración y use el predeterminado.

En la pregunta anterior, recomiendan:

import your celery and add your broker like that :
celery = Celery(''task'', broker=''redis://127.0.0.1:6379'')
celery.config_from_object(celeryconfig)

¿Dónde haría esto? es mi archivo apio.py (a continuación), lo mismo que una configuración de apio?

/projects/tp/tp/celery.py

from __future__ import absolute_import
import os
import django
from celery import Celery
from django.conf import settings
# set the default Django settings module for the ''celery'' program.
os.environ.setdefault(''DJANGO_SETTINGS_MODULE'', ''tp.settings'')
django.setup()
app = Celery(''hello_django'')
# Using a string here means the worker will not have to
# pickle the object when using Windows.
app.config_from_object(''django.conf:settings'')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)

tasks.py:

from __future__ import absolute_import
from celery import shared_task
from django.core.cache import cache
@shared_task
def tester1(param):
return ''The test task executed with argument "%s" '' % param

tp / tp1 / views

@csrf_exempt
def tester(request):
tester1.delay(''hi'')
return HttpResponse(''hTML'')

/etc/supervisor/conf.d/tp-celery.conf

[program:tp-celery]
command=/home/ubuntu/.virtualenvs/env1/bin/celery --app=tp.celery:app worker --loglevel=INFO
directory=/home/ubuntu/projects/tp
user=ubuntu
numprocs=1
stdout_logfile=/var/log/celery-worker-out.log
stderr_logfile=/var/log/celery-worker-err.log
autostart=true
autorestart=true
startsecs=10
; Need to wait for currently executing tasks to finish at shutdown.
; Increase this if you have very long running tasks.
stopwaitsecs = 600
; When resorting to send SIGKILL to the program to terminate it
; send SIGKILL to its whole process group instead,
; taking care of its children as well.
killasgroup=true

/var/log/celery-worker-out.log

 -------------- celery@ip-172-31-22-65 v3.1.17 (Cipater)
---- **** -----
--- * *** * -- Linux-3.13.0-44-generic-x86_64-with-Ubuntu-14.04-trusty
-- * - **** ---
- ** ---------- [config]
- ** ---------- .> app: tp:0x7fa33e424cf8
- ** ---------- .> transport: redis://localhost:6379/0
- ** ---------- .> results: disabled
- *** --- * --- .> concurrency: 1 (prefork)
-- ******* ----
--- ***** ----- [queues]
-------------- .> celery exchange=celery(direct) key=celery
[tasks]
. testapp.tasks.tester1

Answer 1

No ejecute celery woker solamente celery woker corra como el celery -A tp worker -l info -Tp celery -A tp worker -l info . Tomará la config predeterminada.

Para el celery inspect

celery --app=tp.celery:app inspect active_queues

O simplemente

celery -A tp inspect active_queues