django - pricing - elastic beanstalk vs ec2

¿Cómo ejecutar a un trabajador de apio en AWS Elastic Beanstalk?

Question

Versiones:

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

Estoy tratando de ejecutar mi trabajador de apio en AWS Elastic Beanstalk. Utilizo Amazon SQS como corredor de apio.

Aquí está mi settings.py

INSTALLED_APPS += (''djcelery'',)
import djcelery
djcelery.setup_loader()
BROKER_URL = "sqs://%s:%s@" % (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY.replace(''/'', ''%2F''))

Cuando escribo la línea a continuación en la terminal, comienza el trabajador en mi local. También he creado algunas tareas y se ejecutan correctamente. ¿Cómo puedo hacer esto en AWS EB?

python manage.py celery worker --loglevel=INFO

Encontré esta pregunta en StackOverflow. Dice que debo agregar una configuración de apio a la carpeta .ebextensions que ejecuta la secuencia de comandos después de la implementación. Pero no funciona. Agradecería cualquier ayuda. Después de instalar el supervisor, no hice nada con eso. Tal vez eso es lo que me estoy perdiendo. Aquí está el guión.

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 configuration script
      celeryconf="[program:celeryd]
      command=/opt/python/run/venv/bin/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

Registros de EB: Parece que funciona pero aún no ejecuta mis tareas.

-------------------------------------
/opt/python/log/supervisord.log
-------------------------------------
2016-08-02 10:45:27,713 CRIT Supervisor running as root (no user in config file)
2016-08-02 10:45:27,733 INFO RPC interface ''supervisor'' initialized
2016-08-02 10:45:27,733 CRIT Server ''unix_http_server'' running without any HTTP authentication checking
2016-08-02 10:45:27,733 INFO supervisord started with pid 2726
2016-08-02 10:45:28,735 INFO spawned: ''httpd'' with pid 2812
2016-08-02 10:45:29,737 INFO success: httpd entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2016-08-02 10:47:14,684 INFO stopped: httpd (exit status 0)
2016-08-02 10:47:15,689 INFO spawned: ''httpd'' with pid 4092
2016-08-02 10:47:16,727 INFO success: httpd entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2016-08-02 10:47:23,701 INFO spawned: ''celeryd'' with pid 4208
2016-08-02 10:47:23,854 INFO stopped: celeryd (terminated by SIGTERM)
2016-08-02 10:47:24,858 INFO spawned: ''celeryd'' with pid 4214
2016-08-02 10:47:35,067 INFO success: celeryd entered RUNNING state, process has stayed up for > than 10 seconds (startsecs)
2016-08-02 10:52:36,240 INFO stopped: httpd (exit status 0)
2016-08-02 10:52:37,245 INFO spawned: ''httpd'' with pid 4460
2016-08-02 10:52:38,278 INFO success: httpd entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2016-08-02 10:52:45,677 INFO stopped: celeryd (exit status 0)
2016-08-02 10:52:46,682 INFO spawned: ''celeryd'' with pid 4514
2016-08-02 10:52:46,860 INFO stopped: celeryd (terminated by SIGTERM)
2016-08-02 10:52:47,865 INFO spawned: ''celeryd'' with pid 4521
2016-08-02 10:52:58,054 INFO success: celeryd entered RUNNING state, process has stayed up for > than 10 seconds (startsecs)
2016-08-02 10:55:03,135 INFO stopped: httpd (exit status 0)
2016-08-02 10:55:04,139 INFO spawned: ''httpd'' with pid 4745
2016-08-02 10:55:05,173 INFO success: httpd entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2016-08-02 10:55:13,143 INFO stopped: celeryd (exit status 0)
2016-08-02 10:55:14,147 INFO spawned: ''celeryd'' with pid 4857
2016-08-02 10:55:14,316 INFO stopped: celeryd (terminated by SIGTERM)
2016-08-02 10:55:15,321 INFO spawned: ''celeryd'' with pid 4863
2016-08-02 10:55:25,518 INFO success: celeryd entered RUNNING state, process has stayed up for > than 10 seconds (startsecs)

Answer 1

puedes usar el supervisor para ejecutar el apio. Eso ejecutará el apio en el proceso demoníaco.

[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

Answer 2

Olvidé agregar una respuesta después de resolver esto. Así es como lo arreglé. Creé un nuevo archivo "99-apio.config" en mi carpeta .ebextensions. En este archivo, he agregado este código y funciona perfectamente. (no olvide cambiar el nombre de su proyecto en la línea número 16, el mío es 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

Editar: En caso de un error de supervisor en AWS, solo asegúrese de eso;

• Está utilizando Python 2, no Python 3, ya que el supervisor no funciona en Python 3.
• No olvide agregar supervisor a sus requisitos.txt.
• Si todavía da error (me pasó una vez), simplemente ''Rebuild Environment'' y probablemente funcione.