Hi,
If that's truely the case that you don't control anything, deploying
Django will be really a hard problem.
How do you can make sure that you can install all the libs your Django
app, or any dependencies you may have are installed correctly?
How you do setup static file serving?
How you plan to run your Django app itself?
Also, how you can set LD_LIBRARY_PATH if you don't know if there is even
libpq5 in the system, or is it even a correct version?
On 19.10.2016 16:18, GMail wrote:
In fact I do have to use LD_LIBRARY_PATH. Mostly because of libpq5.
And again, I have no control over production server, I don't even know
in which directory my virtualenv will land.
On 19 Oct 2016, at 16:02, Avraham Serour <tovm...@gmail.com
<mailto:tovm...@gmail.com>> wrote:
using a virtualenv is common and suggested, but don't need to mess
with LD_LIBRARY_PATH
you can create the virtualenv in your home directory or the
application directory and run the python executable from the
virtualenv, no need to touch LD_LIBRARY_PATH
On Wed, Oct 19, 2016 at 3:41 PM, GMail <robosl...@gmail.com
<mailto:robosl...@gmail.com>> wrote:
Thanks for replies!
I'm aware of Docker solution, but it's not quite what I'm looking
for.
I don't have any control of a production server, I don't have
sudo and I can't install any packages. It also concerns Docker,
since it could be not installed.
And yes, OS is always Ubuntu Linux in my case, but version is not
fixed, so two servers could have different Ubuntu versions.
I'm looking for something universal, like Go programs - you get
one binary with all libraries included. It seems to me that utils
like cx_freeze or py2exe do that, but they don't work with
Django, since you need to expose WSGI application to WSGI server
(gunicron/uWSGI/etc).
Like I said in first letter, virtualenv does provide a solution
for this setup, but there's too much work to be done and you have
to explicitly set LD_LIBRARY_PATH on production server.
On 19 Oct 2016, at 12:40, Jani Tiainen <rede...@gmail.com
<mailto:rede...@gmail.com>> wrote:
Hi,
Like someone else already pointed out, Docker containers are
quite powerful feature to do deterministic deployments to
unix-like machines. Only pre-requirement is to have Docker
running on target machine but otherwise you're free to build
your containers as you wish. This also eliminates quite nicely
"works for me" problems.
On 18.10.2016 21:45, Александр Христюхин wrote:
Hi!
I would like to ask community about methods of shipping Django
in production.
I do have some limitations, one of which is I don't know what
packages are installed on production server (for example,
postgres dev libraries or specific version of python).
Right now my method is to create venv with specific version of
Python, make venv relocatable, copy missing libraries into
venv/lib, pack it into archive and ship to production servers.
On application launch server has to unpack archive and run it
somewhat like that:
$ LD_LIBRARY_PATH=venv/lib venv/bin/python
venv/bin/gunicorn -c gunicorn.conf myapp.wsgi:application
In my case LD_LIBRARY_PATH is required for libpython and libpq
(PostgreSQL query library).
This does work, but I have to go through a lot of stuff.
What I want to do is pack my application with specific python
and libraries into one binary (on build server) and only ship
this binary to production server. So application launch will
look somewhat like that:
$ my-awesome-python-bin gunicorn -c gunicorn.conf
myapp.wsgi:application
Or if I could go even further and describe some startup logic:
def startup():
...
args = argparser.parse()
config = args.config
gunicorn.server(config, myapp.wsgi, 'application').run()
...and then:
$ my-awesome-bin -c myapp.conf
Is there any way of doing that?
Or could you suggest any easier (well, more convenient) way of
shipping Django?
I did ask practically the same question on StackOverflow
<http://stackoverflow.com/questions/39913847/is-there-a-way-to-compile-python-application-into-static-binary/>
couple
weeks ago, but none of given answers provide simple solution
for my problem. I've tried nuitka, pyinstalled and cx_freeze
with no success.
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