[Distutils] Embedding python (and added goodies) in a fundamentally relocatable product distribution

[Guy Rozendorn]

We are doing similar things at Infinidat.You should check  infi.recipe.application_packager at github.com/Infinidat for building and shipping standalone Python projects, either in platform-specific packages (rpm, MSI, etc) or as standalone executables.



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On Thu, May 28, 2015 at 12:10 AM, jrm <jrm at exa.com> wrote:

> I work for a company that ships software products containing 
> ready-to-run python
> The products contain both a command line python and embedded python used 
> to script complex applications.
> Our distributions are *fundamentally relocatable*.   What I mean by 
> this, is that our install is nothing but an archive extraction.    
> Location information is not modified or patched in anywhere in the tree 
> of files representing our distribution.  Our products can be extracted 
> on an NFS or SMB share - mounted differently on various client systems - 
> and run fine everywhere.  To distinguish our approach from 
> static/install-time relocation - I sometimes call it a just in time install.
> We would like to improve the capability of our installed python, to 
> include some of the typical scientific and engineering extensions 
> (numpy, scipy, and so on).
> Growing weary (and wary) of doing all of our own builds for various 
> third party software - I've begun looking at alternatives that collect a 
> compatible set of python and extensions together.
> The most capable and easy to get collection of python - with scientific 
> support - appears to be Conda.  It's extremely good at pulling together 
> a collection of extensions that play nicely together - and has an 
> appropriately open license.
> Unfortunately, a Conda distribution must be statically located before 
> use.   Other distribution methods I've seen are similarly limited.   The 
> Conda distribution is also a bit of a space hog - using hard links that 
> would expand to duplicate copies of files if contained within a 
> distribution such as ours.
> I can imagine ways to patch up the Conda distribution with symbolic 
> links and smarter start scripts - but I was wondering if any 
> fundamentally better stuff was out there.
> Any ideas?
> -jrm
> James Mason
> Exa Corp
> Burlington, MA
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