Max*_*e P 40 django amazon-web-services celery amazon-elastic-beanstalk
我正在aws弹性beanstalk上启动一个django应用程序.我想运行后台任务或工作人员以便运行芹菜.
我找不到是否可能.如果是的话怎么可能实现?
这就是我现在正在做的事情,但这每次都会产生一个事件类型错误.
container_commands:
01_syncdb:
command: "django-admin.py syncdb --noinput"
leader_only: true
50_sqs_email:
command: "./manage.py celery worker --loglevel=info"
leader_only: true
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yel*_*cap 70
正如@ chris-wheadon在评论中建议的那样,你应该尝试在后台运行芹菜作为一个守护神.AWS Elastic Beanstalk 已经使用supervisord来运行一些deamon进程.因此,您可以利用它来运行celeryd并避免为此创建自定义AMI.它对我很好.
我所做的是在EB将应用程序部署到实例后以编程方式将celeryd配置文件添加到实例中.棘手的部分是文件需要为守护程序设置所需的环境变量(例如,如果您在应用程序中使用S3或其他服务,则为AWS访问密钥).
下面是我使用的脚本的副本,将此脚本添加到.ebextensions配置EB环境的文件夹中.
安装脚本在所有EB实例上的/opt/elasticbeanstalk/hooks/appdeploy/post/文件夹(文档)中创建一个文件.其中的任何shell脚本都将在部署后执行.放在那里的shell脚本的工作原理如下:
celeryenv变量中,virutalenv环境以遵循supervisord符号的格式存储.这是一个以逗号分隔的env变量列表.celeryconf,其中包含配置文件作为字符串,其中包含先前解析的env变量.celeryd.confcelery守护程序的supervisord配置文件的文件中.supervisord.conf文件中(如果尚未存在).这是脚本的副本:
files:
"/opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh":
mode: "000755"
owner: root
group: root
content: |
#!/usr/bin/env bash
# Get django environment variables
celeryenv=`cat /opt/python/current/env | tr '\n' ',' | sed 's/export //g' | sed 's/$PATH/%(ENV_PATH)s/g' | sed 's/$PYTHONPATH//g' | sed 's/$LD_LIBRARY_PATH//g'`
celeryenv=${celeryenv%?}
# Create celery configuraiton script
celeryconf="[program:celeryd]
; Set full path to celery program if using virtualenv
command=/opt/python/run/venv/bin/celery worker -A myappname --loglevel=INFO
directory=/opt/python/current/app
user=nobody
numprocs=1
stdout_logfile=/var/log/celery-worker.log
stderr_logfile=/var/log/celery-worker.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
; if rabbitmq is supervised, set its priority higher
; so it starts first
priority=998
environment=$celeryenv"
# Create the celery supervisord conf script
echo "$celeryconf" | tee /opt/python/etc/celery.conf
# Add configuration script to supervisord conf (if not there already)
if ! grep -Fxq "[include]" /opt/python/etc/supervisord.conf
then
echo "[include]" | tee -a /opt/python/etc/supervisord.conf
echo "files: celery.conf" | tee -a /opt/python/etc/supervisord.conf
fi
# Reread the supervisord config
supervisorctl -c /opt/python/etc/supervisord.conf reread
# Update supervisord in cache without restarting all services
supervisorctl -c /opt/python/etc/supervisord.conf update
# Start/Restart celeryd through supervisord
supervisorctl -c /opt/python/etc/supervisord.conf restart celeryd
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