[Distutils] Distributing packages to offline machines

[Wes Turner]

Have you already tried `pip download --platform`?

https://pip.pypa.io/en/stable/reference/pip_download/#cmdoption-platform


It may be worth setting up devpi (maybe in a container) and caching the
packages; particularly for CI:

https://packaging.python.org/guides/index-mirrors-and-caches/

AFAIU, there's no way to specify a limited set of packages and platforms to
mirror with bandersnatch?

On Wednesday, April 4, 2018, Eric Gorr <ericgorr at gmail.com> wrote:

> I had a question about distributing python packages to offline machines
> when the offline machine is running a different OS then a machine with an
> internet connection. The packages I am concerned with are third party upon
> which mine depend.
>
> Based on what I have learned so far, there are three solutions.
>
> (a) Use a CI to run a fleet of machines for each OS one needs to target to
> obtain the OS specific wheels.
>
> (b) 'pip download <package_list> --no-binary :all:' -- the intention here
> is to grab the source distribution without any OS specific code included.
>
> (c) use https://warehouse.pypa.io/api-reference/json to look for
> distributed wheels for the target OS and python version and download them
> directly. (This may make for a nice flag to add to pip somewhere...the
> ability to specify what wheel one wants when it isn’t for the machine pip
> is running on)
>
> The issue I see with (a) is the shear amount work it would take to setup
> and maintain such a system.
>
> The issue I see with (b) is that it is not 100% reliable as some packages
> are tricky to install and may not work well with 'pip download’.
>
> I have not played around with (c) yet, so I do not know how well it will
> work, but it seems like a viable solution.
>
> I was just wondering if anyone had any comments on this as I think though
> the ways to solve this problem.
>
> Thank you.
>
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