Maya Shelf and Script Netowrk Repository

[md]

Hey Guys,

I am sure this is an RTFM question ... but can anyone point me to instructions on setting up a network repository for scripts and shelves I want to auto-load on all our workstations ?

I will continue to read the docs, but thought someone here might be able to give me direct information.

Thanks

M

[Eric Thivierge]

Hey Mike,

Good luck with this. It's an utter cluster fuck. :\

There are two things I think you'll need to manage:

Maya.env
=====================
Location: C:\Users\ethivierge\Documents\maya\2014-x64\Maya.env

File contents:
MAYA_MODULE_PATH=U:\PROD\Creation
Platform\Splice\maya\1.11\FabricSpliceMaya2014SP3;

This is in mine currently. That is pointing to locations with Maya
plugins in them.


userSetup.py
=====================
Location:
C:\Users\ethivierge\Documents\maya\2014-x64\scripts\userSetup.py

File contents:
import sys
sys.path.append("D:\dev")

This adds Python folders to the Maya python path.


Hope that helps. The setup of this kind of configuration is still
confusing to me and I don't fully understand it.

Best,
Eric T.

On Wednesday, July 16, 2014 9:33:56 AM, md wrote:
> Hey Guys,
>

> I am sure this is an*RTFM* question ... but can anyone point me to

> instructions on setting up a network repository for scripts and
> shelves I want to auto-load on all our workstations ?
>
> I will continue to read the docs, but thought someone here might be
> able to give me direct information.
>
> Thanks
>
> M
>

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[Eric Thivierge]

Pardon the language folks. I thought I replied directly to Mike. :\

[Tony Barbieri]

Haha, it can be a cluster fuck though :).

As Eric pointed out, the userSetup.py is a good entry point as it gets run every time maya starts.  I don't bother messing with the Maya.env file at all.  If you can at least get a single userSetup.py into to user's PYTHONPATH before startup, you should be good to go from there.  We've solved these issues by having wrapper scripts to startup our applications.  This gives us complete control for setting up the user's environment.  You'll also want to look at the available environment variables Maya offers.  That's where you'll solve your shelf issue.

userSetup.py is run early enough that you can manipulate the environment variables using os.environ.  We also use python scripts to start our applications and feed environment dictionaries into the subprocess.Popen command.

Hope that helps some.

Best,

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[Gabriele Bartoli]

Hi, this is the code I use for my Maya.env accross multiple machines, to keep stuff in sync using Google Drive. It is not exactly a network repository but it gets the job done :P

// Note: shelves appear to not work properly (load but empty) if MAYA_SHELF_PATH

//is not defined before MAYA_SCRIPT_PATH */

//Windows syntax

//SHARED_PATH = D:\GoogleDrive\Maya\shared_folder

//MAYA_SHELF_PATH = %SHARED_PATH%\shelves

//MAYA_SCRIPT_PATH = %SHARED_PATH%\scripts

//XBMLANGPATH = %SHARED_PATH%\icons

//PYTHONPATH = %SHARED_PATH%\pythonpath

//Mac syntax

SHARED_PATH = /Users/Gabriele/GoogleDrive/Maya/shared_folder

MAYA_SHELF_PATH = $SHARED_PATH/shelves

MAYA_SCRIPT_PATH = $SHARED_PATH/scripts

XBMLANGPATH = $SHARED_PATH/icons

PYTHONPATH = $SHARED_PATH/pythonpath //Required to load custo userSetup.py

[Risto Jankkila]

Problem with loading shelves from shared location is that Maya likes to save local copies of them. Usually that means people easily end up using a local copy of the shelf instead of the one in shared location. 

I once had write a Python script for automatically updating shelves from shared location. It took me days to reverse engineer all that mel code from mid 90's and make sure Maya loads the correct shelves, removes local copies, updates optionVars etc. What a nightmare.

Cheers,

Risto

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[Eduardo Grana]

Hello People,

I also did the update local shelves script =(, but what i ended up doing, is creating a shelf layout of my own where i load the shared shelves. Most of the shelf functionality is easy to reproduce, and you can add stuff like selective loading

if you like.

Cheers!

Eduardo

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