On May 14, 2014 6:38 PM, "Fredrik Averpil" <[email protected]>
wrote:
>
> Hi Marcus,
>
> Thank you for that thorough explanation. You suggested loading packages
based on project. I'm thinking I'd be better off here to load packages
based on software config. Also, I have a question regarding installing and
building packages (how can I know that they are completely standalone?)...
>
>
> Loading packages based on software config
>
> Here in our studio, I'm building a software launcher which essentially
generates environment variables and launches the appropriate executable. I
think that for me it would make more sense to generate the PYTHONPATH based
on which combo of selections users are making in the app launcher. For
example, they may be choosing to launch Maya 2014 with V-Ray 2.45 (of a
certain nightly build) and some other plugin. We don't use environment
paths to specify a shot or a sequence, so for as long a user has the app
opened, the environment variables generated apply for that app.
>
> What do you guys think about such an approach?
>
>

This is actually my ideal situation too. Applications that are bootstrapped
to pull in just the environment they and their dependencies need to launch.
Two packages that have conflicting dependencies should be able to launch
from the same environment.  But it would be a combination of that and the
current set location within a project dictating which versions of apps you
should be using.
Project A might be using Maya 2013
Project B might be using Maya 2014
And a specific sequence or shot within Project B might want to be testing
Maya 2015

> Installing and building packages - are they standalone?
>
> Also, since I'm new to pip and setuptools, I'm just wondering... when I
perform a pip install --target //server/share/package... into a certain
directory, I've been having troubles confirming that this package is now
completely standalone and can be imported from any other machine of the
same type without anything but a local python installation. But this seems
to be the case. Am I correct?
> Also, for some package's source (downloaded from e.g. github/google
code), I've been using setuptools to build the project: python setup.py
build (avoiding eggs)
> Then I manually move the built project into a certain location. Again,
I'm assuming the package built is completely standalone. This is right,
right?
> When "pip installing" or "setuptools building" packages, I'm doing that
from my Win7 64-bit machine and from a virtual CentOS 6.4 64-bit machine
(with a virtualenv with --no-site-packages). Seems to work nicely. If you
have any pointers to give me here, as I'm new to this, I would appreciate
that very much.
>
>

Technically someone could do anything they want in their setup.py so I
don't think it could be said that it is always standalone. The entry point
scripts it can generates can also have specific shebang lines (non Windows
users) .
Are you referring to any dependencies that setuptools might pull down? It
doesn't package them up within the Build or anything. It just makes sure
they are all there and installed to your prefix location. So if you build
something that downloads 4 dependencies but you only copy off the original
build elsewhere, then you would be missing those dependencies.

>
> I'm truly thankful for all your fantastic input, guys. If you end up
visiting siggraph this year I definitively owe you a beer or two :)
> This mailing list is invaluable!
>
>
> Regards,
> Fredrik
>
> PS. Marcus, what are you using to get such nice code formatting in your
emails? :)
>
>
>
> On Wed, May 14, 2014 at 7:50 AM, Marcus Ottosson <[email protected]>
wrote:
>>
>> My addition to this topic would be a similar approach to Justin’s. Host
packages individually and modify PYTHONPATH based on your criteria, such as
project. Each project could then define their own paths, pointing to their
relevant versions of their relevant packages.
>>
>> /hulk/scripts/pakA/__init__.py
>> /hulk/scripts/pakB/1.4.7/pakB/__init__.py
>> /hulk/scripts/pakB/1.4.8/pakB/__init__.py
>> /hulk/metadata.json --> {'PYTHONPATH': 'scripts/:scripts/pakB/1.4.7'}
>>
>> And then, it could also be useful, in cases where you’d like per-shot or
per-asset overrides of your PYTHONPATH, to get metadata to cascade.
>>
>> /hulk/metadata.json
>> /hulk/shots/1000/metadata.json --> {'PYTHONPATH':
'../../scripts/pakB/1.4.8'}
>>
>> Here, shot 1000 introduces additional dependencies which would be added
to the initial /hulk/metadata.json. At this point, you can establish a
foundation metadata container at the root of each project (or all projects)
and override essentials as you go.
>>
>> You could roll your own cascade mechanism, or you could have a look at a
library I'm working on called openmetadata;
>>
>> # This would be the gist of it
>> import openmetadata as om
>> location = om.Location('/hulk/shots/1000')
>> pythonpath = om.Entry('PYTHONPATH', parent=location)
>> om.inherit(pythonpath)
>> print pythonpath
>> '/projects/hulk/scripts/:/projects/hulk/scripts/pakB/1.4.8'
>>
>> Here is a github link and here’s an example on how to set up the
metadata for inheritance.
>>
>> Best,
>> Marcus
>>
>>
>>
>> On 13 May 2014 09:30, Justin Israel <[email protected]> wrote:
>>>
>>> We manage versions with a custom packaging and deploy system that is
integrated with the environment management system. The eggs can be annoying
because they require being reliant on either having pth files being updated
or having the eggs added to the path as opposed to just a normal package.
>>> I think if you have the versions and packaging managed externally then
the eggs are superfluous.
>>>
>>> On May 13, 2014 7:52 PM, "Fredrik Averpil" <[email protected]>
wrote:
>>>>
>>>> Thanks guys for all your input. How come you don't use eggs?
>>>> I thought eggs with egg-infos were supposed to be the easy way to
maintain versions and distribute modules?
>>>>
>>>> Fredrik
>>>>
>>>>
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>>
>>
>>
>>
>> --
>> Marcus Ottosson
>> [email protected]
>>
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