Django celery非同步任務實現程式碼示例
阿新 • • 發佈:2020-11-27
最近專案中用到celery很多,Django快速接入celery,這裡給份教程。
準備
pip安裝celery、flower、eventlet
快速接入
1.專案目錄的__init__檔案
from __future__ import absolute_import # This will make sure the app is always imported when # Django starts so that shared_task will use this app. from .celerypro import app as celery_app
2.celerypro.py檔案
from __future__ import absolute_import import os 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','voice_quality_assurance_configure.settings') #修改專案配置檔案的地址 app = Celery('voice_quality_assurance_configure') #修改專案目錄名稱 # Using a string here means the worker will not have to # pickle the object when using Windows. app.config_from_object('voice_quality_assurance_configure.celeryconfig') #修改celery配置檔案的地址 app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
3.celeryconfig.py檔案,更多配置項,可以檢視官方文件。
from kombu import Queue BROKER_URL = 'amqp://使用者名稱:密碼@ip:5672'# 指定 Broker CELERY_RESULT_BACKEND = 'rpc://使用者名稱:密碼@ip:5672'# 指定 Backend CELERY_TIMEZONE='Asia/Shanghai'# 指定時區,預設是 UTC CELERY_TASK_SERIALIZER = 'pickle' CELERY_RESULT_SERIALIZER = 'pickle' CELERY_ACCEPT_CONTENT = ['pickle','json'] CELERY_IGNORE_RESULT = True # CELERY_TIMEZONE='UTC' CELERY_IMPORTS = ( # 指定匯入的任務模組 'apps.mission.tasks' ) CELERY_QUEUES = ( Queue('default',routing_key='default'),#宣告佇列和對應路由鍵 Queue('worker_queue',routing_key='worker'),#宣告佇列和對應路由鍵 ) CELERY_ROUTES = { 'apps.mission.tasks.createsingletask': {'queue': 'worker_queue','routing_key': 'worker'},}
app程式碼如何使用
app下新建tasks.py檔案,名字一定要是tasks。(我這裡是mission app下的tasks.py)
from celery import shared_task @shared_task() def createsingletask(): print(test)
app下views呼叫如下:(我這裡是mission app下的views.py)
from .tasks import createsingletask
createsingletask.apply_async(())
快速測試和監控
啟動多個celery worker,-A 指定專案目錄, -P 指定方式,我這裡以協程方式執行, -n指定name
celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker1 celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker2 celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker3 celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker4 celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker5
啟動flower監控
celery flower --broker=amqp://使用者名稱:密碼@ip:5672 --broker-api=http://使用者名稱:密碼@ip:15672/api/
檢視監控,注意這裡的監控資料是不持久化的。
以上就是本文的全部內容,希望對大家的學習有所幫助,也希望大家多多支援我們。