gunicorn not starting workers

Question

When i run this command

[jenia@arch app]../bin/gunicorn zones.wsgi:application --bind localht:8000

The gunicorn server runs at localhost:8000. It doesnt return anything to the console as I assume it should. Just runs silently.

When I run my script in bin/gunicorn_start the server still runs silently and features odd behaviour. If I input an address that django can't resolve it gives me internal server error and that's it. no stack trace no nothing.

This is the bin/gunicorn_start script:

#!/bin/bash

NAME="hello_app" # Name of the application
DJANGODIR=/srv/http/proj05/app # Django project directory
SOCKFILE=/srv/http/proj05/app/run/gunicorn.sock # we will communicte using this unix socket
USER=jenia # the user to run as
GROUP=jenia # the group to run as
NUM_WORKERS=3 # how many worker processes should Gunicorn spawn
DJANGO_SETTINGS_MODULE=zones.settings # which settings file should Django use
DJANGO_WSGI_MODULE=zones.wsgi # WSGI module name

echo "Starting $NAME as `whoami`"

# Activate the virtual environment
cd $DJANGODIR
source activate
export DJANGO_SETTINGS_MODULE=$DJANGO_SETTINGS_MODULE
export PYTHONPATH=$DJANGODIR:$PYTHONPATH


# Create the run directory if it doesn't exist
RUNDIR=$(dirname $SOCKFILE)
test -d $RUNDIR || mkdir -p $RUNDIR



# Start your Django Unicorn
# Programs meant to be run under supervisor should not daemonize themselves (do not use --daemon)
echo "about to exec exec is" $DJANGO_WSGI_MODULE
exec ../bin/gunicorn ${DJANGO_WSGI_MODULE}:application \
--name $NAME \
--workers $NUM_WORKERS \
--user=$USER --group=$GROUP \
--log-level=debug \
--bind=unix:$SOCKFILE

By the way, I created a virtualen at by doing:

cd proj05
virtualenv .
source bin/activate
pip install django
pip install gunicorn
...

Can anyone tell me how to make gunicorn output the debug information instead of just internal server error?

Thanks in advance.

Answer 1

gunicorn doesn't return to the console by default now. Use the option --log-file=- to do it.

Also the error should be fixed in https://github.com/benoitc/gunicorn/issues/785 .

I will make a release tomorrow.