Anima is a VFX & Animation pipeline library designed for and used in Anima Istanbul and written purely in Python.
It is also an example of how to use Stalker and build a pipeline on top of it.
Anima, supplies PyQt4/PySide/PySide2 UI's for Maya, Houdini, Max, Nuke, Fusion and Photoshop and the UIs can be used in standalone mode where users can upload their files to server and automatically version them.
First of all, Anima uses Stalker. So you need to have a running PostgreSQL database. Stalker can work with other databases too but the preferred database is PostgreSQL and it is developed and tested against a PostgreSQL database.
To manage your database settings from one place, you need to create a
config.py
file in a location that all of workstations and farm computers are
able to read from. The bad side of it is that it exposes your database user and
password. But because it is going to be seen only by the studio workers (and
only by the tech savvy ones).
In this config.py
file you need to enter the following configuration
variables:
database_engine_settings={
"sqlalchemy.url": "postgresql://user:password@address/db_name",
"sqlalchemy.echo": False
}
Then you need to create an environment variable called "STALKER_PATH" in every
computer that you want to use stalker and then set it to that path (directory)
that contains the config.py
file.
For Windows, it is a good idea to create another folder in a network storage,
copy anima
and all of its dependencies to that folder. Then install a local
copy of the pyscopg2
library and copy the installed pyscopg2
files (under
python/Lib/site-packages) to that network drive again. So you do not need to
install all of the libraries for every single computer in your studio.
With these steps you will be able to use:
from stalker import db
db.setup()
instead of:
from stalker import db
db.setup({"sqlalchemy.url": "....."})
So all of your computers will now be able to reach the database without having
too much information about the database. After that, setting up anima
should
be pretty straight forward:
Clone anima
to a network share so everyone can see it. Setup the PYTHONPATH
environment variable to include the path that contains the anima
library.
Then you should be able to run the following inside Maya for example:
from anima.env import mayaEnv
m = mayaEnv.Maya()
or better:
from anima.ui.scripts import maya
maya.version_creator()
It is a good idea to create a Studio
instance in your database, with all the
details needed (ex. working hours, the studio name), you can run it in Maya for
example or in anywhere that has a Python consoles:
import datetime
from stalker import db, Studio
our_studio = Studio(
name='Studio Name',
daily_working_hours=8,
timing_resolution=datetime.timedelta(hours=1) # needed for task schedules
# if you plan using
# stalker as a project
# management tool
)
db.DBSession.add(our_studio)
db.DBSession.commit()
You should create users:
from stalker import db, User
user1 = User(
name='User1',
login='user1',
password='secret',
email='[email protected]'
)
db.DBSession.add(user1)
db.DBSession.commit()
And then you need to create Projects
and Tasks
etc. but lets do them later
after you successfully come to this stage.
These should be enough to kick start your pipeline. Then you need to customize
the anima
a lot, because it is tailored to our workflow in our studio.