How to run a celery worker on AWS Elastic Beanstalk?

Question

Versions:

• Django 1.9.8
• celery 3.1.23
• django-celery 3.1.17
• Python 2.7

I\'m trying to run my celery worker on AWS Elast

Answer 1

I forgot to add an answer after solving this. This is how i fixed it. I've created a new file "99-celery.config" in my .ebextensions folder. In this file, I've added this code and it works perfectly. (don't forget the change your project name in line number 16, mine is molocate_eb)

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/current/app/molocate_eb/manage.py celery worker --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

Edit: In case of an supervisor error on AWS, just be sure that;

• You're using Python 2 not Python 3 since supervisor doesn't work on Python 3.
• Don't forget to add supervisor to your requirements.txt.
• If it still gives error(happened to me once), just 'Rebuild Environment' and it'll probably work.

Answer 2

you can use the supervisor to run celery. That will run the celery in demon process.

[program:tornado-8002]
directory: name of the director where django project lies
command: command to run celery // python manage.py celery
stderr_logfile = /var/log/supervisord/tornado-stderr.log
stdout_logfile = /var/log/supervisord/tornado-stdout.log