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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