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=====
About
Stalker is an Open Source Production Asset Management (ProdAM) Library designed
specifically for Animation and VFX Studios but can be used for any kind of
projects. Stalker is licensed under LGPL v3.
Features
Stalker has the following features:
- Designed for Animation and VFX Studios.
- Platform independent.
- Default installation handles nearly all the asset and project management
needs of an animation and vfx studio. - Customizable with configuration scripts.
- Customizable object model (Stalker Object Model - SOM).
- Uses TaskJuggler as the project planing and tracking backend.
- Mainly developed for PostgreSQL in mind but SQLite3 is also
supported. - Can be connected to all the major 3D animation packages like Maya,
Houdini, Nuke, Fusion, Softimage, Blender etc. and any application that
has a Python API. And with applications like Adobe Photoshop which does
not have a direct Python API but supportswin32comorcomtypes. - Mainly developed for Python 3.0+ and Python 2.7 is fully supported.
- Developed with TDD practices.
Stalker is build over these other OpenSource projects:
- Python
- SQLAlchemy and Alembic
- Jinja2
- TaskJuggler
Stalker as a library has no graphical UI, it is a python library that gives you
the ability to build your pipeline on top of it. There are other python
packages like the Open Source Pyramid Web Application Stalker Pyramid_ and
the Open Source pipeline library Anima_ which has PyQt/PySide/PySide2 UIs for
applications like Maya, Nuke, Houdini, Fusion, Photoshop etc.
.. _Stalker Pyramid: https://github.com/eoyilmaz/stalker_pyramid
.. _Anima: https://github.com/eoyilmaz/anima
Installation
Use::
pip install stalker
Examples
Let's play with Stalker.
Initialize the database and fill with some default data:
.. code:: python
from stalker import db
db.setup()
db.init()
Create a User:
.. code:: python
from stalker.db.session import DBSession
from stalker import User
me = User(
name='Erkan Ozgur Yilmaz',
login='erkanozgur',
email='my_email@gmail.com',
password='secretpass'
)
# Save the user to database
DBSession.save(me)
Create a Repository for project files to be saved under:
.. code:: python
from stalker import Repository
repo = Repository(
name='Commercial Projects Repository',
windows_path='Z:/Projects',
linux_path='/mnt/Z/Projects',
osx_path='/Volumes/Z/Projects'
)
Create a FilenameTemplate (to be used as file naming convention):
.. code:: python
from stalker import FilenameTemplate
task_template = FilenameTemplate(
name='Standard Task Filename Template',
target_entity_type='Task', # This is for files saved for Tasks
path='{{project.repository.path}}/{{project.code}}/'
'{%- for parent_task in parent_tasks -%}'
'{{parent_task.nice_name}}/'
'{%- endfor -%}', # This is Jinja2 template code
filename='{{version.nice_name}}_v{{"%03d"|format(version.version_number)}}'
)
Create a Structure that uses this template:
.. code:: python
from stalker import Structure
standard_folder_structure = Structure(
name='Standard Project Folder Structure',
templates=[task_template],
custom_template='{{project.code}}/References' # If you need extra folders
)
Now create a Project that uses this structure and will be placed under the
repository:
.. code:: python
from stalker import Project
new_project = Project(
name='Test Project',
code='TP',
structure=standard_folder_structure,
repositories=[repo], # if you have more than one repository you can do it
)
Define the project resolution:
.. code:: python
from stalker import ImageFormat
hd1080 = ImageFormat(
name='1080p',
width=1920,
height=1080
)
Set the project resolution:
.. code:: python
new_project.image_format = hd1080
# Save the project and all the other data it is connected to it
DBSession.save(new_project)
Create Assets, Shots and other Tasks:
.. code:: python
from stalker import Task, Asset, Shot, Type
# define Character asset type
char_type = Type(name='Character', code='CHAR', target_entity_type='Asset')
character1 = Asset(
name='Character 1',
code='CHAR1',
type=char_type,
project=new_project
)
# Save the Asset
DBSession.save(character1)
model = Task(
name='Model',
parent=character1
)
rigging = Task(
name='Rig',
parent=character1,
depends=[model], # For project management, define that Rig can not start
# before Model ends.
)
# Save the new tasks
DBSession.save([model, rigging])
# A shot and some tasks for it
shot = Shot(
name='SH001',
code='SH001',
project=new_project
)
# Save the Shot
DBSession.save(shot)
animation = Task(
name='Animation',
parent=shot,
)
lighting = Task(
name='Lighting',
parent=shot,
depends=[animation], # Lighting can not start before Animation ends,
schedule_timing=1,
schedule_unit='d', # The task expected to take 1 day to complete
resources=[me]
)
DBSession.save([animation, lighting])
Let's create versions for the Animation task.
.. code-block:: python
from stalker import Version
new_version = Version(task=animation)
new_version.update_paths() # to render the naming convention template
new_version.extension = '.ma' # let's say that we have created under Maya
Let's check how the version path is rendered:
.. code-block:: python
assert new_version.absolute_full_path == \
"Z:/Projects/TP/SH001/Animation/SH001_Animation_Main_v001.ma"
assert new_version.version_number == 1
Create a new version and check that the version number increased automatically:
.. code-block:: python
new_version2 = Version(task=animation)
new_version2.update_paths() # to render the naming convention template
new_version2.extension = '.ma' # let's say that we have created under Maya
assert new_version2.version_number == 2
See more detailed example in API Tutorial_.
.. _API Tutorial: https://pythonhosted.org/stalker/tutorial.html