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。
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();