如何在AWS Elastic Beanstalk上运行芹菜工作者？

时间：2016-07-25 11:23:35

标签： django amazon-web-services elastic-beanstalk django-celery

版本：

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

我试图在AWS Elastic Beanstalk上运行我的芹菜工作者。我使用Amazon SQS作为芹菜经纪人。

这是我的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'))

当我在终端上键入以下行时，它会启动我本地的工作人员。我还创建了一些任务，并且他们已经正确执行了。我如何在AWS EB上执行此操作？

python manage.py celery worker --loglevel=INFO

我在StackOverflow上发现了this个问题。 它说我应该将celery配置添加到.ebextensions文件夹中，该文件夹在部署后执行脚本。但它不起作用。我很感激任何帮助。安装主管后，我没有做任何事情。也许这就是我所缺少的。 这是脚本。

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 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

EB的日志：看起来它有效，但它仍然没有执行我的任务。

-------------------------------------
/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)

2 个答案:

答案 0 :(得分：2)

我在解决这个问题后忘了补充一个答案。 这是我修复它的方式。 我在.ebextensions文件夹中创建了一个新文件“99-celery.config”。 在这个文件中，我添加了这段代码，它完美无缺。 （不要忘记在第16行更改项目名称，我的是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

编辑：如果AWS出现管理员错误，请确保;

  • 你使用的是Python 2而不是Python 3，因为主管不能在Python 3上运行。
  • 不要忘记将supervisor添加到您的requirements.txt。
  • 如果它仍然给出错误（发生在我身上），只需“重建环境”并且它可能会有效。

答案 1 :(得分：-3)

你可以使用主管来运行芹菜。这将在恶魔过程中运行芹菜。

[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
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