I recently setup and deploy an Amazon EC2 instance for deploy my django project.
I was interacting with my application via browser when I get this error in the browser:
I have been exploring, and I should say that the origin of this error were in my code
I have two newbie errors:
print
sentence in productionIn the traceback that I shown above in my question, I had a print
sentence inside my get_context_data()
function of this way:
File "/home/ubuntu/workspace/neurorehabilitation-system/userprofile/views.py" in get_context_data
50. print (user.is_physiotherapist)
Is possible that each time that this print sentence is executed, the process try write to the stdout file in my amazon ec2 machine instance.
I remove this print sentence in that line, and retrieve the changes into my production servers via git and restart gunicorn server and all it's works perfect.
DEBUG=True
in productionI have the following settings files:
settings/
base.py # --- without DEBUG
development.py # --- DEBUG=True
testing.py # --- DEBUG=True
production.py # --- DEBUG=False
staging.py # --- DEBUG=False
All files (development.py, testing.py, production.py, staging.py
) inherit from base.py
But I don't know how to make that in my ec2 instance, the production.py be executed, this inherit all from base.py and override DEBUG to False.
I've been exploring and one possibility is change their value (True or False) according to the name of the host in which is running my application, such as shown in this post
In my case this is the value of my hostname
(nrb_dev)ubuntu@ip-172-31-27-249:~$ python
Python 3.4.3 (default, Oct 14 2015, 20:28:29)
[GCC 4.8.4] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import socket
>>> a=socket.gethostname()
>>> a
'ip-172-31-27-249'
>>>
>>> if a != 'ip-172-31-27-249':
... DEBUG = print ('Caleno juiciocito')
...
>>> DEBUG
True
>>>
This mean, put into my base.py the following:
import socket
if socket.gethostname() == 'ip-172-31-27-249':
DEBUG = False
else:
DEBUG = True
Although I am hardcoding the hostname of the production server in my code. This mean that I am adding a point thar after will have modified manually when we want deploy my project in other machine with other hostname
Is this a best practice despite to it's works?
Another option which I think that it's the most suited alternative is fix the value of my DJANGO_SETTINGS_MODULE
environment variables
In my particular situation I am using virtualenvwrapper
and I have two virtual environments so:
nrb_dev
for my development environment
nrb_test
for my testing environment .
I have some hooks which are activated when the virtual environments are activated
In nrb_dev
in $VIRTUAL_ENV/bin/postactivate
I have this:
export DJANGO_SETTINGS_MODULE="neurorehabilitation.settings.development"
In the same way, in nrb_test
in $VIRTUAL_ENV/bin/postactivate
I have this:
export DJANGO_SETTINGS_MODULE="neurorehabilitation.settings.testing"
This mean that in my amazon EC2 production machine I should change the hook in $VIRTUAL_ENV/bin/postactivate
to choose the settings/production.py
of this way:
export DJANGO_SETTINGS_MODULE="neurorehabilitation.settings.production"
Just for test effects and the temporal way, I print the DEBUG
value in my settings/production.py
from .base import *
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = False
print (DEBUG) # just for now.
And when I start my gunicorn daemon server, I can see that DEBUG value is set to False
(nrb_dev)ubuntu@ip-172-31-27-249:~/workspace/neurorehabilitation-system$ gunicorn -c neurorehabilitation/gunicorn_config.py neurorehabilitation.wsgi
[2016-01-08 00:26:15 +0000] [6691] [INFO] Starting gunicorn 19.4.5
[2016-01-08 00:26:15 +0000] [6691] [INFO] Listening at: http://127.0.0.1:8000 (6691)
[2016-01-08 00:26:15 +0000] [6691] [INFO] Using worker: sync
[2016-01-08 00:26:15 +0000] [6694] [INFO] Booting worker with pid: 6694
False
^C[2016-01-08 00:26:19 +0000] [6691] [INFO] Handling signal: int
Additional Notes
I can explore the Django Logging functionality for register events and others things of my application.
I should explore the supervisor service for manage the gunicorn procees of a better way in production.
Other resources for supervisor:
How to install and manage supervisor in Ubuntu
Setting up Django with Nginx, Gunicorn, virtualenv, supervisor and PostgreSQL