use*_*629 2 python django amazon-ec2 celery

我在 Ubuntu EC2 节点上有一个 Django 项目,我一直在使用它来设置异步,使用Celery. 我一直在尝试关注http://michal.karzynski.pl/blog/2014/05/18/setting-up-an-asynchronous-task-queue-for-django-using-celery-redis/
我已经能够在命令行上完成一项基本任务,使用:
(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
Run Code Online (Sandbox Code Playgroud)
但是,如果我运行其他像下面这样的芹菜命令,我会得到以下信息:
(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.
Run Code Online (Sandbox Code Playgroud)
celery 似乎认为我使用 amqp 作为代理,但我使用的是 redis !!
基于Celery 尝试连接到错误的 broker,似乎 celery 找不到配置文件并使用默认值。
在上述问题中,他们建议:
import your celery and add your broker like that :
celery = Celery('task', broker='redis://127.0.0.1:6379')
celery.config_from_object(celeryconfig)
Run Code Online (Sandbox Code Playgroud)
我会在哪里做这个?我的 celery.py 文件(如下)是否与 celery 配置相同?
/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)
Run Code Online (Sandbox Code Playgroud)
任务.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
Run Code Online (Sandbox Code Playgroud)
tp/tp1/观看次数
@csrf_exempt
def tester(request):
tester1.delay('hi')
return HttpResponse('hTML')
Run Code Online (Sandbox Code Playgroud)
/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
Run Code Online (Sandbox Code Playgroud)
/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
Run Code Online (Sandbox Code Playgroud)
不要只运行celery woker..像运行一样celery -A tp worker -l info。它将采用默认值config。
为了 celery inspect
celery --app=tp.celery:app inspect active_queues
Run Code Online (Sandbox Code Playgroud)
或者干脆
celery -A tp inspect active_queues
Run Code Online (Sandbox Code Playgroud)
| 归档时间: |
|
| 查看次数: |
2910 次 |
| 最近记录: |