Daemonization process of Celery and Celery Beat using Supervisord in AWS Elastic Beanstalk

celery_daemon.config

files:
  "/tmp/100_celery_worker.sh":
      mode: "000755"
      owner: root
      group: root
      content: |
        #!/bin/sh
        
        # for_log_and_pid
        mkdir -p /var/log/celery/ /var/run/celery/
        chmod 777 -R /var/run/celery/

        # 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/$LD_LIBRARY_PATH//g' | sed 's/%/%%/g'`
        celeryenv=${celeryenv%?}
        
        # Create celery configuraiton script
        celerydconf="[program:celery-worker]
        ; Set full path to celery program if using virtualenv
        
        #replace [PROJ] with your project name
        
        command=/opt/python/run/venv/bin/celery worker -A [PROJ] -P solo --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

        ; Set Celery priority higher than default (999)
        ; so, if rabbitmq is supervised, it will start first.
        priority=998
        
        environment=$celeryenv
        
        [program:celery-beat]
        ; Set full path to celery program if using virtualenv
        command=/opt/python/run/venv/bin/celery beat -A [PROJ] --loglevel=INFO -s /var/run/celery/celerybeat-schedule  --pidfile="/var/run/celery/celerybeat.pid"

        directory=/opt/python/current/app
        user=nobody
        numprocs=1
        stdout_logfile=/var/log/celery-beat.log
        stderr_logfile=/var/log/celery-beat.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 "$celerydconf" | tee /opt/python/etc/celeryd.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: celeryd.conf" | tee -a /opt/python/etc/supervisord.conf
        fi

        # Reread the supervisord config
        /usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf reread

        # Update supervisord in cache without restarting all services
        /usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf update

        # Start/Restart celeryd through supervisord
        /usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf restart celery-worker
        
        /usr/local/bin/supervisorctl -c /opt/python/etc/supervisord.conf restart celery-beat

FYI this will not easily work on Amazon Linux 2...supervisor is not installed by default.