使用环境变量在AWS Elastic Beanstalk上使用django运行celery

时间:2016-12-19 21:41:50

标签: django celery elastic-beanstalk

我想用我的Django应用程序在AWS Elastic Beanstalk上运行celery。我听了@yellowcap(How do you run a worker with AWS Elastic Beanstalk?)这个伟大的回答。所以我的supervisord.conf看起来像这样:

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

他的代码工作正常,直到我决定将我的settings.py中的一些变量迁移到我的Elastic Beanstalk环境属性。

确实,调用脚本时出现以下错误:

for \'environment\' is badly formatted'>: file: /usr/lib64/python2.7/xmlrpclib.py line: 800
celeryd: ERROR (no such process)

感谢您的帮助。

1 个答案:

答案 0 :(得分:2)

这是由于Supervisor如何解析配置文件[1]。

您的环境设置包含未转义的%字符,可能来自Django SECRET_KEY。

以下对我有用 - 尝试将array.sort_by { |item| number, letter = *item.split [letter, number.to_i] } 附加到管道链上:

OleDbConnection conn = new OleDbConnection { ConnectionString = DataBase.ConnectionString() }; conn.Open(); OleDbDataReader reader = null; OleDbCommand command = new OleDbCommand("SELECT [ID],[ClassName] FROM Class WHERE TeacherID = @TeacherID", conn); command.Parameters.AddWithValue("@TeacherID", Properties.Settings.Default.UserID); reader = command.ExecuteReader(); _ClassGrid.ItemsSource = reader; //_ClassGrid is my DataGrid conn.Close();

结果行:

conn.close();

[1] https://github.com/Supervisor/supervisor/issues/291