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NVIDIA-Omniverse/kit-extension-template/tools/packman/bootstrap/generate_temp_folder.ps1 | <#
Copyright 2019 NVIDIA CORPORATION
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
#>
param(
[Parameter(Mandatory=$true)][string]$parentPath=$null
)
[string] $name = [System.Guid]::NewGuid()
$out = Join-Path $parentPath $name
New-Item -ItemType Directory -Path ($out) | Out-Null
Write-Host $out
# SIG # Begin signature block
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# SIG # End signature block
|
NVIDIA-Omniverse/kit-extension-template/tools/packman/bootstrap/install_package.py | # Copyright 2019 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import zipfile
import tempfile
import sys
import shutil
__author__ = "hfannar"
logging.basicConfig(level=logging.WARNING, format="%(message)s")
logger = logging.getLogger("install_package")
class TemporaryDirectory:
def __init__(self):
self.path = None
def __enter__(self):
self.path = tempfile.mkdtemp()
return self.path
def __exit__(self, type, value, traceback):
# Remove temporary data created
shutil.rmtree(self.path)
def install_package(package_src_path, package_dst_path):
with zipfile.ZipFile(
package_src_path, allowZip64=True
) as zip_file, TemporaryDirectory() as temp_dir:
zip_file.extractall(temp_dir)
# Recursively copy (temp_dir will be automatically cleaned up on exit)
try:
# Recursive copy is needed because both package name and version folder could be missing in
# target directory:
shutil.copytree(temp_dir, package_dst_path)
except OSError as exc:
logger.warning(
"Directory %s already present, packaged installation aborted" % package_dst_path
)
else:
logger.info("Package successfully installed to %s" % package_dst_path)
install_package(sys.argv[1], sys.argv[2])
|
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/config/extension.toml | [package]
# Semantic Versionning is used: https://semver.org/
version = "1.0.0"
# The title and description fields are primarily for displaying extension info in UI
title = "Simple UI Extension Template"
description = "The simplest python extension example. Use it as a starting point for your extensions."
# Path (relative to the root) or content of readme markdown file for UI.
readme = "docs/README.md"
# Path (relative to the root) of changelog
changelog = "docs/CHANGELOG.md"
# URL of the extension source repository.
repository = "https://github.com/NVIDIA-Omniverse/kit-extension-template"
# One of categories for UI.
category = "Example"
# Keywords for the extension
keywords = ["kit", "example"]
# Icon to show in the extension manager
icon = "data/icon.png"
# Preview to show in the extension manager
preview_image = "data/preview.png"
# Use omni.ui to build simple UI
[dependencies]
"omni.kit.uiapp" = {}
# Main python module this extension provides, it will be publicly available as "import omni.hello.world".
[[python.module]]
name = "omni.hello.world"
[[test]]
# Extra dependencies only to be used during test run
dependencies = [
"omni.kit.ui_test" # UI testing extension
]
|
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/omni/hello/world/extension.py | import omni.ext
import omni.ui as ui
# Functions and vars are available to other extension as usual in python: `example.python_ext.some_public_function(x)`
def some_public_function(x: int):
print(f"[omni.hello.world] some_public_function was called with {x}")
return x ** x
# Any class derived from `omni.ext.IExt` in top level module (defined in `python.modules` of `extension.toml`) will be
# instantiated when extension gets enabled and `on_startup(ext_id)` will be called. Later when extension gets disabled
# on_shutdown() is called.
class MyExtension(omni.ext.IExt):
# ext_id is current extension id. It can be used with extension manager to query additional information, like where
# this extension is located on filesystem.
def on_startup(self, ext_id):
print("[omni.hello.world] MyExtension startup")
self._count = 0
self._window = ui.Window("My Window", width=300, height=300)
with self._window.frame:
with ui.VStack():
label = ui.Label("")
def on_click():
self._count += 1
label.text = f"count: {self._count}"
def on_reset():
self._count = 0
label.text = "empty"
on_reset()
with ui.HStack():
ui.Button("Add", clicked_fn=on_click)
ui.Button("Reset", clicked_fn=on_reset)
def on_shutdown(self):
print("[omni.hello.world] MyExtension shutdown")
|
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/omni/hello/world/__init__.py | from .extension import *
|
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/omni/hello/world/tests/__init__.py | from .test_hello_world import * |
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/omni/hello/world/tests/test_hello_world.py | # NOTE:
# omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests
# For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html
import omni.kit.test
# Extnsion for writing UI tests (simulate UI interaction)
import omni.kit.ui_test as ui_test
# Import extension python module we are testing with absolute import path, as if we are external user (other extension)
import omni.hello.world
# Having a test class dervived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test
class Test(omni.kit.test.AsyncTestCase):
# Before running each test
async def setUp(self):
pass
# After running each test
async def tearDown(self):
pass
# Actual test, notice it is "async" function, so "await" can be used if needed
async def test_hello_public_function(self):
result = omni.hello.world.some_public_function(4)
self.assertEqual(result, 256)
async def test_window_button(self):
# Find a label in our window
label = ui_test.find("My Window//Frame/**/Label[*]")
# Find buttons in our window
add_button = ui_test.find("My Window//Frame/**/Button[*].text=='Add'")
reset_button = ui_test.find("My Window//Frame/**/Button[*].text=='Reset'")
# Click reset button
await reset_button.click()
self.assertEqual(label.widget.text, "empty")
await add_button.click()
self.assertEqual(label.widget.text, "count: 1")
await add_button.click()
self.assertEqual(label.widget.text, "count: 2")
|
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/docs/CHANGELOG.md | # Changelog
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [1.0.0] - 2021-04-26
- Initial version of extension UI template with a window
|
NVIDIA-Omniverse/kit-extension-template/exts/omni.hello.world/docs/README.md | # Simple UI Extension Template
The simplest python extension example. Use it as a starting point for your extensions.
|
NVIDIA-Omniverse/USD-Tutorials-And-Examples/README.md | # USD Tutorials and Examples
## About
This project showcases educational material for [Pixar's Universal Scene Description](https://graphics.pixar.com/usd/docs/index.html) (USD).
For convenience, the Jupyter notebook from the GTC session is available on Google Colaboratory, which offers an interactive environment from the comfort of your web browser. Colaboratory makes it possible to:
* Try code snippets without building or installing USD on your machine
* Run the samples on any device
* Share code experiments with others
Should you prefer to run the notebook on your local machine instead, simply download and execute it after [installing Jupyter](https://jupyter.org).
## Sample Notebook
Follow along the tutorial using the sample notebook from the GTC session, or get acquainted with USD using other examples:
|Notebook|Google Colab link|
|--------|:----------------:|
|Introduction to USD|[](https://colab.research.google.com/github/NVIDIA-Omniverse/USD-Tutorials-And-Examples/blob/main/ColaboratoryNotebooks/usd_introduction.ipynb)|
|Opening USD Stages|[](https://colab.research.google.com/github/NVIDIA-Omniverse/USD-Tutorials-And-Examples/blob/main/ColaboratoryNotebooks/opening_stages.ipynb)|
|Prims, Attributes and Metadata|[](https://colab.research.google.com/github/NVIDIA-Omniverse/USD-Tutorials-And-Examples/blob/main/ColaboratoryNotebooks/prims_attributes_and_metadata.ipynb)|
|Hierarchy and Traversal|[](https://colab.research.google.com/github/NVIDIA-Omniverse/USD-Tutorials-And-Examples/blob/main/ColaboratoryNotebooks/hierarchy_and_traversal.ipynb)|
## Additional Resources
* [Pixar's USD](https://graphics.pixar.com/usd)
* [USD at NVIDIA](https://usd.nvidia.com)
* [USD training content on _NVIDIA On-Demand_](https://www.nvidia.com/en-us/on-demand/playlist/playList-911c5614-4b7f-4668-b9eb-37f627ac8d17/)
|
NVIDIA-Omniverse/USD-Tutorials-And-Examples/ColaboratoryNotebooks/usd_introduction.ipynb | {
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "GTC_usd_introduction.ipynb",
"provenance": [],
"collapsed_sections": [],
"toc_visible": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "d7SGPe5YpUm3"
},
"source": [
"# An introduction to USD basics\n",
"\n",
"The goal of this Colab notebook is to introduce some basics of USD including variants, references, definitions, and schemas. \n",
"\n",
"While it does not cover the full extent of USD composition, it shows the practical foundations of some of the most useful features to get started with. \n",
"\n",
"**To run this sample:** click _Runtime_ > _Run all_ from the top menu, or use the <kbd>⌘</kbd>/<kbd>CTRL</kbd>+<kbd>F9</kbd> keyboard shortcut."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-9aGK7fXmghS"
},
"source": [
"## Install the `usd-core` Python package\n",
"\n",
"Install the [`usd-core`](https://pypi.org/project/usd-core/) Python package providing the core USD libraries. Note that it does not provide any of the optional plugins or imaging features from the complete USD distribution."
]
},
{
"cell_type": "code",
"metadata": {
"id": "epRX-Z0OmCkp",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "3f0afbdd-0c6a-4fb6-9402-b54fd88fad4a"
},
"source": [
"! pip install usd-core\n",
"\n",
"# See https://pypi.org/project/usd-core/#history for a list of supported USD\n",
"# versions."
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "Tgskn4nFmcJ1"
},
"source": [
"## Creating a Layer in USD\n",
"\n",
"USD files represent a layer is the USD lexicon. From the [Pixar Glossary](https://graphics.pixar.com/usd/docs/USD-Glossary.html#USDGlossary-Layer):\n",
"> A *Layer* is the atomic persistent container of scene description for USD. A layer contains zero or more `PrimSpecs`, that in turn describe `Property` and `Metadata` values. Each layer possesses an *identifier* that can be used to contruct references to the layer from other layers. Although it may be possible to someday remove this restriction, layers must currently correspond to files on a filesystem accessible via POSIX filesystem interfaces.\n",
"\n",
"The following section will demonstrate how to create a basic Layer using Python.\n",
"\n",
"See Pixar's [_USD Tutorials_](https://graphics.pixar.com/usd/docs/USD-Tutorials.html) for more details."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LQtAdRvxRVOs",
"outputId": "6fff73a4-8fb5-4bb2-d2f1-120d54708359"
},
"source": [
"from pxr import Usd, UsdGeom\n",
"\n",
"# Create a tempory stage in memory\n",
"stage = Usd.Stage.CreateInMemory('SampleLayer.usda')\n",
"\n",
"# Create a transform and add a sphere as mesh data\n",
"xformPrim = UsdGeom.Xform.Define(stage, '/MySphere')\n",
"\n",
"# Set a translation\n",
"UsdGeom.XformCommonAPI(xformPrim).SetTranslate((7,8,9))\n",
"\n",
"spherePrim = UsdGeom.Sphere.Define(stage, '/MySphere/MeshData')\n",
"\n",
"# Get the sphere as a generic prim\n",
"sphere = stage.GetPrimAtPath('/MySphere/MeshData')\n",
"\n",
"# Get the extent and radius parameters for the prim\n",
"radiusAttr = sphere.GetAttribute('radius')\n",
"extentAttr = sphere.GetAttribute('extent')\n",
"\n",
"# Access the sphere schema to set the color\n",
"colorAttr = spherePrim.GetDisplayColorAttr()\n",
"\n",
"# Set the radius to 2\n",
"radiusAttr.Set(2)\n",
"\n",
"# Expand the extents to match the new radius \n",
"extentAttr.Set(extentAttr.Get()*2)\n",
"\n",
"# Make the sphere blue\n",
"colorAttr.Set([(0,0,1)])\n",
"\n",
"# Print out the stage\n",
"print(stage.GetRootLayer().ExportToString())\n",
"\n",
"# Save the resulting layer\n",
"stage.GetRootLayer().Export('SampleLayer.usda')\n"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"#usda 1.0\n",
"\n",
"def Xform \"MySphere\"\n",
"{\n",
" double3 xformOp:translate = (7, 8, 9)\n",
" uniform token[] xformOpOrder = [\"xformOp:translate\"]\n",
"\n",
" def Sphere \"MeshData\"\n",
" {\n",
" float3[] extent = [(-2, -2, -2), (2, 2, 2)]\n",
" color3f[] primvars:displayColor = [(0, 0, 1)]\n",
" double radius = 2\n",
" }\n",
"}\n",
"\n",
"\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
"metadata": {
"tags": []
},
"execution_count": 3
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Mxi_-wW3vr9K"
},
"source": [
"## Understanding how References work\n",
"\n",
"One of the most basic and useful tools for composing scenes in USD is the reference. \n",
"\n",
"From the [USD Glossary](https://graphics.pixar.com/usd/docs/USD-Glossary.html#USDGlossary-References): \n",
"\n",
"> The primary use for References is to compose smaller units of scene description into larger *aggregates*, building up a namespace that includes the \"encapsulated\" result of composing the scene description targeted by a reference.\n",
"\n",
"The following example demonstrates how to make a reference, then override properties of the referenced data. "
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "oejtRITBXNk8",
"outputId": "3017b468-d650-40ce-9b45-4d65bad61ca5"
},
"source": [
"from pxr import Usd, UsdGeom\n",
"\n",
"# Create a tempory stage in memory\n",
"stage = Usd.Stage.CreateInMemory('ReferenceExample.usda')\n",
"\n",
"# Create a place for the reference to live\n",
"refSphere = stage.OverridePrim('/refSphere')\n",
"\n",
"# Create the reference\n",
"refSphere.GetReferences().AddReference('./SampleLayer.usda', '/MySphere')\n",
"\n",
"# Remove the translation operation applied to the base sphere's transform\n",
"refXform = UsdGeom.Xformable(refSphere)\n",
"refXform.SetXformOpOrder([])\n",
"\n",
"# Print out the stage\n",
"print(\"The Layer\\n\\n\")\n",
"print(stage.GetRootLayer().ExportToString())\n",
"print(\"\\n\\nThe result of Composition \\n\\n\")\n",
"print(stage.Flatten().ExportToString())\n",
"print(\"\\n\\n\")\n",
"# Override the color of the sphere to be red\n",
"overMeshData = UsdGeom.Sphere.Get(stage, '/refSphere/MeshData')\n",
"overMeshData.GetDisplayColorAttr().Set([(1,0,0)])\n",
"\n",
"# Print out the stage\n",
"print(\"The Layer\\n\\n\")\n",
"print(stage.GetRootLayer().ExportToString())\n",
"print(\"\\n\\nThe result of Composition \\n\\n\")\n",
"print(stage.Flatten().ExportToString())\n",
"\n",
"# Save the resulting layer\n",
"stage.GetRootLayer().Export('RefExample.usda')\n"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"The Layer\n",
"\n",
"\n",
"#usda 1.0\n",
"\n",
"over \"refSphere\" (\n",
" prepend references = @./SampleLayer.usda@</MySphere>\n",
")\n",
"{\n",
" uniform token[] xformOpOrder = []\n",
"}\n",
"\n",
"\n",
"\n",
"\n",
"The result of Composition \n",
"\n",
"\n",
"#usda 1.0\n",
"(\n",
" doc = \"\"\"Generated from Composed Stage of root layer \n",
"\"\"\"\n",
")\n",
"\n",
"def Xform \"refSphere\"\n",
"{\n",
" double3 xformOp:translate = (7, 8, 9)\n",
" uniform token[] xformOpOrder = []\n",
"\n",
" def Sphere \"MeshData\"\n",
" {\n",
" float3[] extent = [(-2, -2, -2), (2, 2, 2)]\n",
" color3f[] primvars:displayColor = [(0, 0, 1)]\n",
" double radius = 2\n",
" }\n",
"}\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"The Layer\n",
"\n",
"\n",
"#usda 1.0\n",
"\n",
"over \"refSphere\" (\n",
" prepend references = @./SampleLayer.usda@</MySphere>\n",
")\n",
"{\n",
" uniform token[] xformOpOrder = []\n",
"\n",
" over \"MeshData\"\n",
" {\n",
" color3f[] primvars:displayColor = [(1, 0, 0)]\n",
" }\n",
"}\n",
"\n",
"\n",
"\n",
"\n",
"The result of Composition \n",
"\n",
"\n",
"#usda 1.0\n",
"(\n",
" doc = \"\"\"Generated from Composed Stage of root layer \n",
"\"\"\"\n",
")\n",
"\n",
"def Xform \"refSphere\"\n",
"{\n",
" double3 xformOp:translate = (7, 8, 9)\n",
" uniform token[] xformOpOrder = []\n",
"\n",
" def Sphere \"MeshData\"\n",
" {\n",
" float3[] extent = [(-2, -2, -2), (2, 2, 2)]\n",
" color3f[] primvars:displayColor = [(1, 0, 0)]\n",
" double radius = 2\n",
" }\n",
"}\n",
"\n",
"\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
"metadata": {
"tags": []
},
"execution_count": 5
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lZ-dCTRkHNhL"
},
"source": [
"## Understanding Variants\n",
"\n",
"Variants and VariantSets allow a content author to provide a prim with multiple looks or forms with relative ease. \n",
"\n",
"From the [USD Glossary](https://graphics.pixar.com/usd/docs/USD-Glossary.html#USDGlossary-VariantSet):\n",
"> A *VariantSet* is a composition arc that allows a content creator to package a discrete set of alternatives, between which a downstream consumer is able to non-destructively switch, or augment. A reasonable way to think about VariantSets is as a \"switchable reference\". Each Variant of a VariantSet encapsulates a tree of scene description that will be composed onto the prim on which the VariantSet is defined, when the Variant is selected. VariantSet names must be legal USD identifiers.\n",
"\n",
"In the following example we will show how to add a VariantSet that lets the content creator select different colors for their sphere."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yC52K_ktcfSS",
"outputId": "0d4d9b18-7d1b-4e3f-98b4-0932517a315f"
},
"source": [
"from pxr import Usd, UsdGeom\n",
"\n",
"# Create a tempory stage in memory\n",
"stage = Usd.Stage.CreateInMemory('VariantExample.usda')\n",
"\n",
"# Create a place for the reference to live\n",
"variantSphere = stage.OverridePrim('/variantSphere')\n",
"\n",
"# Create the reference\n",
"variantSphere.GetReferences().AddReference('./SampleLayer.usda', '/MySphere')\n",
"\n",
"# Remove the translation operation applied to the base sphere's transform\n",
"variantXform = stage.GetPrimAtPath('/variantSphere')\n",
"\n",
"# Clear any color on the base sphere\n",
"overMeshData = UsdGeom.Sphere.Get(stage, '/variantSphere/MeshData')\n",
"colorAttr = overMeshData.GetDisplayColorAttr()\n",
"colorAttr.Clear()\n",
"\n",
"# Add the VariantSet\n",
"colorVariants = variantXform.GetVariantSets().AddVariantSet('ColorsRGB')\n",
"\n",
"# Add variants to the VariantSet\n",
"colorVariants.AddVariant('red')\n",
"colorVariants.AddVariant('green')\n",
"colorVariants.AddVariant('blue')\n",
"\n",
"# Set the variant values\n",
"colorVariants.SetVariantSelection('red')\n",
"with colorVariants.GetVariantEditContext():\n",
" colorAttr.Set([(1,0,0)])\n",
"\n",
"colorVariants.SetVariantSelection('green')\n",
"with colorVariants.GetVariantEditContext():\n",
" colorAttr.Set([(0,1,0)])\n",
"\n",
"colorVariants.SetVariantSelection('blue')\n",
"with colorVariants.GetVariantEditContext():\n",
" colorAttr.Set([(0,0,1)])\n",
"\n",
"# Set the color to be green\n",
"colorVariants.SetVariantSelection('green')\n",
"\n",
"print(\"\\n\\n The Layer\\n\\n\")\n",
"print(stage.GetRootLayer().ExportToString())\n",
"print(\"\\n\\n The Result of Composition\\n\\n\")\n",
"print(stage.Flatten().ExportToString())\n",
"\n",
"# Save the resulting layer\n",
"stage.GetRootLayer().Export('VariantExample.usda')\n"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"\n",
"\n",
" The Layer\n",
"\n",
"\n",
"#usda 1.0\n",
"\n",
"over \"variantSphere\" (\n",
" prepend references = @./SampleLayer.usda@</MySphere>\n",
" variants = {\n",
" string ColorsRGB = \"green\"\n",
" }\n",
" prepend variantSets = \"ColorsRGB\"\n",
")\n",
"{\n",
" variantSet \"ColorsRGB\" = {\n",
" \"blue\" {\n",
" over \"MeshData\"\n",
" {\n",
" color3f[] primvars:displayColor = [(0, 0, 1)]\n",
" }\n",
"\n",
" }\n",
" \"green\" {\n",
" over \"MeshData\"\n",
" {\n",
" color3f[] primvars:displayColor = [(0, 1, 0)]\n",
" }\n",
"\n",
" }\n",
" \"red\" {\n",
" over \"MeshData\"\n",
" {\n",
" color3f[] primvars:displayColor = [(1, 0, 0)]\n",
" }\n",
"\n",
" }\n",
" }\n",
"}\n",
"\n",
"\n",
"\n",
"\n",
" The Result of Composition\n",
"\n",
"\n",
"#usda 1.0\n",
"(\n",
" doc = \"\"\"Generated from Composed Stage of root layer \n",
"\"\"\"\n",
")\n",
"\n",
"def Xform \"variantSphere\"\n",
"{\n",
" double3 xformOp:translate = (7, 8, 9)\n",
" uniform token[] xformOpOrder = [\"xformOp:translate\"]\n",
"\n",
" def Sphere \"MeshData\"\n",
" {\n",
" float3[] extent = [(-2, -2, -2), (2, 2, 2)]\n",
" color3f[] primvars:displayColor = [(0, 1, 0)]\n",
" double radius = 2\n",
" }\n",
"}\n",
"\n",
"\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
"metadata": {
"tags": []
},
"execution_count": 6
}
]
}
]
}
|
NVIDIA-Omniverse/USD-Tutorials-And-Examples/ColaboratoryNotebooks/hierarchy_and_traversal.ipynb | {
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "hierarchy-and-traversal.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "IftoR-r0D6R0"
},
"source": [
"# USD Tutorial: Hierarchy and Traversal\n",
"\n",
"**To run this sample:** click _Runtime_ > _Run all_ from the top menu, or use the <kbd>⌘</kbd>/<kbd>CTRL</kbd>+<kbd>F9</kbd> keyboard shortcut."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nyWofqfjEmNk"
},
"source": [
"## Install the `usd-core` Python package\n",
"\n",
"Install the [`usd-core`](https://pypi.org/project/usd-core/) Python package providing the core USD libraries. Note that it does not provide any of the optional plugins or imaging features from the complete USD distribution."
]
},
{
"cell_type": "code",
"metadata": {
"id": "RjqwbEkREoUb"
},
"source": [
"! pip install usd-core\n",
"\n",
"# See https://pypi.org/project/usd-core/#history for a list of supported USD\n",
"# versions."
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "PkN9Gs6NIBIj"
},
"source": [
"## Tutorial\n",
"\n",
"USD Stages are organized in a hierarchy of Prims: there is a special root prim at `/` and it may have N-number of direct Prim descendants, each of which can have their own tree of Prim descendants.\n",
"\n",
"The path to a Prim is described by a string which starts with the root prim `/` and contains the Prim name separated by the path separator `/` until the last component is the desired Prim's name.\n",
"\n",
"For example `/Car/Wheel/Tire` refers to the `Tire` prim which has parent `Wheel` and grandparent `Car`. `Car`'s parent is the special root prim `/`.\n",
"\n",
"In the Tutorial section on Stages there is information on how to retrieve a Prim at a given path using `stage_ref.GetPrimAtPath()`.\n",
"\n",
"Here is a refresher, we'll assume *car.usda* has the `/Car/Wheel/Tire` path:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "oJrApcfjIYcM"
},
"source": [
"%%file car.usda\n",
"#usda 1.0\n",
"def \"Car\" {\n",
" def \"Wheel\" {\n",
" def \"Tire\" {\n",
" \n",
" }\n",
" }\n",
"}"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "Rq-2a6pjIjgx"
},
"source": [
"from pxr import Usd\n",
"\n",
"stage_ref = Usd.Stage.Open('car.usda')\n",
"prim_ref = stage_ref.GetPrimAtPath('/Car')"
],
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "JirNBzx8IoGD"
},
"source": [
"Now, if you want to get a specific child of a Prim, and you know the name, you can use `prim_ref.GetChild(child_name)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "vurZazQCIlHc"
},
"source": [
"stage_ref = Usd.Stage.Open('car.usda')\n",
"\n",
"prim_ref = stage_ref.GetPrimAtPath('/Car')\n",
"child_prim_ref = prim_ref.GetChild('Wheel')\n",
"\n",
"# Prims can be cast as bool, so you can check if the prim exists by comparing\n",
"# its bool() overload\n",
"if child_prim_ref:\n",
" print(\"/Car/Wheel exists\") # This will execute\n",
"\n",
"print(child_prim_ref.GetPath()) # Prints \"\"/Car/Wheel\""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "yvCu6v_nIvgD"
},
"source": [
"If you want to get all the children of a Prim, you can use `prim_ref.GetChildren()` which returns a list of prim references:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "UVYAXLftIyY0"
},
"source": [
"stage_ref = Usd.Stage.Open('car.usda')\n",
"\n",
"prim_ref = stage_ref.GetPrimAtPath('/Car')\n",
"\n",
"# Will return [Usd.Prim(</Car/Wheel>)]\n",
"children_refs = prim_ref.GetChildren()"
],
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "QVgskWPGI0mr"
},
"source": [
"If you want to traverse the entire stage, the `stage_ref.Traverse()` function is perfect for that, it returns an iterator:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "FkRIiEmgI3a8"
},
"source": [
"stage_ref = Usd.Stage.Open('car.usda')\n",
"\n",
"for prim_ref in stage_ref.Traverse():\n",
" print(prim_ref.GetPath())"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "qPyn-gVtI5UL"
},
"source": [
"There are more advanced traversal methods described in the [UsdStage](https://graphics.pixar.com/usd/docs/api/class_usd_stage.html#adba675b55f41cc1b305bed414fc4f178) documentation."
]
}
]
} |
NVIDIA-Omniverse/USD-Tutorials-And-Examples/ColaboratoryNotebooks/prims_attributes_and_metadata.ipynb | {
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "prims-attributes-and-metadata.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "IftoR-r0D6R0"
},
"source": [
"# USD Tutorial: Prims, Attributes and Metadata\n",
"\n",
"**To run this sample:** click _Runtime_ > _Run all_ from the top menu, or use the <kbd>⌘</kbd>/<kbd>CTRL</kbd>+<kbd>F9</kbd> keyboard shortcut."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nyWofqfjEmNk"
},
"source": [
"## Install the `usd-core` Python package\n",
"\n",
"Install the [`usd-core`](https://pypi.org/project/usd-core/) Python package providing the core USD libraries. Note that it does not provide any of the optional plugins or imaging features from the complete USD distribution."
]
},
{
"cell_type": "code",
"metadata": {
"id": "RjqwbEkREoUb"
},
"source": [
"! pip install usd-core\n",
"\n",
"# See https://pypi.org/project/usd-core/#history for a list of supported USD\n",
"# versions."
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "gr8anrjrLkJU"
},
"source": [
"%%file sphere_sample.usda\n",
"#usda 1.0\n",
"def Sphere \"sphere\"\n",
"{\n",
"}"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "Sl7Ua6G6FpKz"
},
"source": [
"## Tutorial\n",
"\n",
"### Prims\n",
"Working with Prims is a more complicated since Prims are extremely powerful objects in USD. Prims are referenced by their path in the stage, which is a string in the form of `/Prim/ChildPrim`. `/` is a special prim known as the root prim in a stage.\n",
"\n",
"To get a reference to a prim at a path use `stage_ref.GetPrimAtPath(path)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "9fJ8AuN1Fzwj"
},
"source": [
"from pxr import Sdf, Usd, UsdGeom\n",
"\n",
"stage_ref = Usd.Stage.Open('sphere_sample.usda')\n",
"\n",
"prim = stage_ref.GetPrimAtPath('/sphere')\n",
"print(prim.GetName()) # Prints \"sphere\"\n",
"print(prim.GetPrimPath()) # Prints \"/sphere\""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "1clJziPQFzOb"
},
"source": [
"To define a new prim use `stage_ref.DefinePrim(path)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "HCCvIRfmGDEb"
},
"source": [
"stage_ref = Usd.Stage.Open('sphere_sample.usda')\n",
"\n",
"prim = stage_ref.DefinePrim('/UnTypedPrim')\n",
"print(prim.GetName()) # Prints \"UnTypedPrim\""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "E82AGFcYGGaL"
},
"source": [
"To define a new prim with a type use `stage_ref.DefinePrim(path, type_name)` or you can use your Type's `SomeType.Define(stage_ref, path)` method:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "j-W-VHJ6GLY8"
},
"source": [
"stage_ref = Usd.Stage.Open('sphere_sample.usda')\n",
"\n",
"prim = stage_ref.DefinePrim('/XformPrim', 'Xform')\n",
"# Above we have a Usd.Prim, if we want to access all the Xform's types natively,\n",
"# we need to get an Xform instance of our prim\n",
"xform = UsdGeom.Xform(prim)\n",
"\n",
"print(xform.GetPath()) # Prints \"/XformPrim\"\n",
"\n",
"# It is often better to use the Define() method of your type right away, since\n",
"# it returns your typed instance rather than a Usd.Prim instance\n",
"\n",
"xform_faster = UsdGeom.Xform.Define(stage_ref, '/AnotherXformPrim')"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "r8zq9u2bGXU0"
},
"source": [
"To delete a prim from the current edit layer (please refer to the [documentation about RemovePrim](https://graphics.pixar.com/usd/docs/api/class_usd_stage.html#ac605faad8fc2673263775b1eecad2955) for details) you can use `stage_ref.RemovePrim(path)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Ld7Zz88YGf3b"
},
"source": [
"stage_ref = Usd.Stage.Open('sphere_sample.usda')\n",
"prim = stage_ref.DefinePrim('/UnTypedPrim')\n",
"\n",
"if stage_ref.RemovePrim('/UnTypedPrim'):\n",
" print('/UnTypedPrim removed')\n",
"\n",
"# If you try to access the prim object, it will still reference path but it is\n",
"# expired\n",
"if (prim.IsValid()):\n",
" print('{} is valid'.format(prim.GetName()))\n",
"else:\n",
" print('{} is not valid'.format(prim.GetName()))\n",
" \n",
"# The above will print \"Accessed invalid expired prim </UnTypedPrim>\""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "we85c_IeGppD"
},
"source": [
"## Attributes\n",
"Attributes are the workhorse of storing actual data inside a Prim. Attributes are often defined as part of [Schemas](https://graphics.pixar.com/usd/docs/USD-Glossary.html#USDGlossary-Schema) to make it easier to access context-relevant data from within an instance of that Type.\n",
"\n",
"For example, `Xform` typed Prims have an attribute called `Purpose` which is used to specify the purpose of an imageable prim. It contains one of the following values: `[default, render, proxy, guide]`\n",
"\n",
"Now, you could get this attribute's value in two ways. One, as a generic `prim_ref.GetAttribute(name)` call, but you would have to know that the exact name of the attribute you want is \"purpose\", and you wouldn't be able to get any code completion in an IDE that way.\n",
"\n",
"The other way is to use the Xform Schema's exposed function for getting the purpose, which is `xform_ref.GetPurposeAttr()`, which returns the same object, but will be typed in an IDE and does not depend on the underlying string name of the attribute.\n",
"\n",
"Most often after you get an Attribute object, you will want to get the attribute's actual value or set it. That can be done with *attribute_ref.Get()* to retrieve the value, and `attribute_ref.Set(value)` to set the value.\n",
"\n",
"Let's see the code for getting an Attribute reference and getting its value:\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Z5qLyZ-NHEtV"
},
"source": [
"stage_ref = Usd.Stage.Open('sphere_sample.usda')\n",
"\n",
"# Get a reference to the Xform instance as well as a generic Prim instance\n",
"xform_ref = UsdGeom.Xform.Define(stage_ref, '/XformPrim')\n",
"prim_ref = xform_ref.GetPrim()\n",
"\n",
"# Get an attribute reference (not its value!)\n",
"purpose_from_xform_ref = xform_ref.GetPurposeAttr()\n",
"purpose_from_prim_ref = prim_ref.GetAttribute('purpose')\n",
"\n",
"print(purpose_from_xform_ref == purpose_from_prim_ref) # Prints \"True\"\n",
"\n",
"# Prints the actual attribute's value, in this case, one of [default, render,\n",
"# proxy, guide], since it is the Xform's actual Purpose attribute\n",
"print(purpose_from_xform_ref.Get())"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "4QEhnGQXHNFz"
},
"source": [
"To create an attribute that isn't part of a Type's namespace (or it is, but you want to create the attribute \"manually\"), you must pass the attribute name and its type to `prim_ref.CreateAttribute(name, type)`.\n",
"\n",
"Otherwise, most Types expose a `Set`-style command, for example `xform_ref.SetPurposeAttr(value)`.\n",
"\n",
"### Working with Attributes\n",
"\n",
"You can call the `prim_ref.CreateAttribute(name, type)` function to create the attribute, and we can use the information above to select a valid `type`. It returns a reference to the attribute created, which we can set with `attribute_ref.Set(value)`, and again we can construct a valid value by looking up the constructor above."
]
},
{
"cell_type": "code",
"metadata": {
"id": "gJU_efttH2tU"
},
"source": [
"stage_ref = Usd.Stage.CreateInMemory()\n",
"\n",
"# Create a Usd.Prim\n",
"prim_ref = stage_ref.DefinePrim('/Prim')\n",
"\n",
"# Create an attribute reference, using an explicit reference to the type\n",
"weight_attr = prim_ref.CreateAttribute('weight', Sdf.ValueTypeNames.Float)\n",
"\n",
"print(weight_attr.Get()) # Prints empty string for default Float values, not 0!\n",
"\n",
"print(weight_attr.Get() == None) # Prints \"True\"\n",
"print(weight_attr.Get() == 0) # Prints \"False\"\n",
"\n",
"# To set an attribute we use the `attribute_ref.Set(value)` function\n",
"weight_attr.Set(42.3)\n",
"\n",
"print(weight_attr.Get()) # Prints \"42.3\"\n",
"\n",
"# Also, you can chain calls like so\n",
"print(prim_ref.GetPrim().GetAttribute('weight').Get()) # Prints \"42.3\""
],
"execution_count": null,
"outputs": []
}
]
} |
NVIDIA-Omniverse/USD-Tutorials-And-Examples/ColaboratoryNotebooks/opening_stages.ipynb | {
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "opening-stages.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "IftoR-r0D6R0"
},
"source": [
"# USD Tutorial: Opening Stages\n",
"\n",
"**To run this sample:** click _Runtime_ > _Run all_ from the top menu, or use the <kbd>⌘</kbd>/<kbd>CTRL</kbd>+<kbd>F9</kbd> keyboard shortcut."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nyWofqfjEmNk"
},
"source": [
"## Install the `usd-core` Python package\n",
"\n",
"Install the [`usd-core`](https://pypi.org/project/usd-core/) Python package providing the core USD libraries. Note that it does not provide any of the optional plugins or imaging features from the complete USD distribution."
]
},
{
"cell_type": "code",
"metadata": {
"id": "RjqwbEkREoUb"
},
"source": [
"! pip install usd-core\n",
"\n",
"# See https://pypi.org/project/usd-core/#history for a list of supported USD\n",
"# versions."
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZNXYTKBzELR7"
},
"source": [
"## Tutorial\n",
"\n",
"Working with USD Stages is pretty straight forward, as most times everything is one function call away.\n",
"\n",
"To load a USD file as a USD Stage you use `Usd.Stage.Open(path)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "2-Z3qbXsE4Qs"
},
"source": [
"%%file sphere_sample.usda\n",
"#usda 1.0\n",
"def Sphere \"sphere\"\n",
"{\n",
"}"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "8A730ygjEyZ0"
},
"source": [
"from pxr import Usd\n",
"\n",
"stage = Usd.Stage.Open('sphere_sample.usda')"
],
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "b55FFtgcFMQs"
},
"source": [
"To create a new Stage use `Usd.Stage.CreateNew(path)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "OlgYaHQBFP67"
},
"source": [
"stage = Usd.Stage.CreateNew('a_new_stage.usd') "
],
"execution_count": 4,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "BRANR9wMFUO3"
},
"source": [
"To save a loaded Stage use `Usd.Stage.Save(path)`:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "uNk0nfjNFW3U"
},
"source": [
"stage = Usd.Stage.Open('sphere_sample.usda')\n",
"# Do something to the stage\n",
"stage.Save() "
],
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "lEKbxlWXFbhW"
},
"source": [
"To export a stage to a new file, you can use `Usd.Stage.Export()`. This function allows you to transition between serialization formats (*usda* or *usdc*) as well, based on the file extension provided."
]
},
{
"cell_type": "code",
"metadata": {
"id": "3XsEIAAZFi8b"
},
"source": [
"stage = Usd.Stage.Open('sphere_sample.usda')\n",
"# Do something to the stage\n",
"stage.Export('sphere_sample.usdc')"
],
"execution_count": null,
"outputs": []
}
]
} |
NVIDIA-Omniverse/kit-project-template/pull_kit_kernel.bat | @echo off
call "%~dp0repo" pull_extensions %*
|
NVIDIA-Omniverse/kit-project-template/repo.bat | @echo off
call "%~dp0tools\packman\python.bat" "%~dp0tools\repoman\repoman.py" %*
if %errorlevel% neq 0 ( goto Error )
:Success
exit /b 0
:Error
exit /b %errorlevel%
|
NVIDIA-Omniverse/kit-project-template/pull_kit_kernel.sh | #!/bin/bash
set -e
SCRIPT_DIR=$(dirname ${BASH_SOURCE})
source "$SCRIPT_DIR/repo.sh" pull_extensions $@ || exit $?
|
NVIDIA-Omniverse/kit-project-template/repo.sh | #!/bin/bash
set -e
SCRIPT_DIR=$(dirname ${BASH_SOURCE})
cd "$SCRIPT_DIR"
exec "tools/packman/python.sh" tools/repoman/repoman.py "$@"
|
NVIDIA-Omniverse/kit-project-template/repo.toml | ########################################################################################################################
# Repo tool base settings
########################################################################################################################
[repo]
# Use the Kit Template repo configuration as a base. Only override things specific to the repo.
import_configs = [
"${root}/_repo/deps/repo_kit_tools/kit-template/repo.toml",
"${root}/_repo/deps/repo_kit_tools/kit-template/repo-external.toml",
]
extra_tool_paths = [
"${root}/kit/dev",
]
########################################################################################################################
# Extensions precacher
########################################################################################################################
[repo_precache_exts]
# Apps to run and precache
apps = [
"${root}/source/apps/my_name.my_app.kit"
]
|
NVIDIA-Omniverse/kit-project-template/README.md | # *Omniverse Kit* Project Template
This project is a template for developing apps and extensions for *Omniverse Kit*.
# Important Links
- [Omniverse Documentation Site](https://docs.omniverse.nvidia.com/kit/docs/kit-project-template)
- [Github Repo for this Project Template](https://github.com/NVIDIA-Omniverse/kit-project-template)
- [Extension System](https://docs.omniverse.nvidia.com/kit/docs/kit-manual/latest/guide/extensions_advanced.html)
# Getting Started
1. Fork/Clone the Kit Project Template repo [link](https://github.com/NVIDIA-Omniverse/kit-project-template) to a local folder, for example in `C:\projects\kit-project-template`
2. (Optional) Open this cloned repo using Visual Studio Code: `code C:\projects\kit-project-template`. It will likely suggest installing a few extensions to improve python experience. None are required, but they may be helpful.
3. In a CLI terminal (if in VS Code, CTRL + \` or choose Terminal->New Terminal from the menu) run `pull_kit_kernel.bat` (windows) / `pull_kit_kernel.sh` (linux) to pull the *Omniverse Kit Kernel*. `kit` folder link will be created under the main folder in which your project is located.
4. Run the example app that includes example extensions: `source/apps/my_name.my_app.bat` (windows) / `./source/apps/my_name.my_app.sh` (linux) to ensure everything is working. The first start will take a while as it will pull all the extensions from the extension registry and build various caches. Subsequent starts will be much faster. Once finished, you should see a "Kit Base Editor" window and a welcome screen. Feel free to browse through the base application and exit when finished. You are now ready to begin development!
## An Omniverse App
If you look inside a `source/apps/my_name.my_app.bat` or any other *Omniverse App*, they all run off of an SDK we call *Omniverse Kit* . The base application for *Omniverse Kit* (`kit.exe`) is the runtime that powers *Apps* build out of extensions.
Think of it as `python.exe`. It is a small runtime, that enables all the basics, like settings, python, logging and searches for extensions. **All other functionality is provided by extensions.**
To start an app we pass a `kit` file, which is a configuration file with a `kit` extension. It describes which extensions to pull and load, and which settings to apply. One kit file fully describes an app, but you may find value in having several for different methods to run and test your application.
Notice that it includes `omni.hello.world` extension; that is an example extension found in this repo. All the other extensions are pulled from the `extension registry` on first startup.
More info on building kit files: [doc](https://docs.omniverse.nvidia.com/kit/docs/kit-manual/latest/guide/creating_kit_apps.html)
### Packaging an App
Once you have developed, tested, and documented your app or extension, you will want to publish it. Before publishing the app, we must first assemble all its components into a single deliverable. This step is called "packaging".
To package an app run `tools/package.bat` (or `repo package`). The package will be created in the `_build/packages` folder.
To use the package, unzip the package that was created by the above step into its own separate folder. Then, run `pull_kit_kernel.bat` inside the new folder once before running the app.
### Version Lock
An app `kit` file fully defines all the extensions, but their versions are not `locked`, which is to say that by default the latest versions of a given extension will be used. Also, many extensions have dependencies themselves which cause kit to download and enable other extensions.
This said, for the final app it is important that it always gets the same extensions and the same versions on each run. This is meant to provide reliable and reproducible builds. This is called a *version lock* and we have a separate section at the end of `kit` file to lock versions of all extensions and all their dependencies.
It is also important to update the version lock section when adding new extensions or updating existing ones. To update version lock the `precache_exts` tool is used.
**To update version lock run:** `tools/update_version_lock.bat`.
Once you've done this, use your source control methods to commit any changes to a kit file as part of the source necessary to reproduce the build.
The packaging tool will verify that version locks exist and will fail if they do not.
More info on dependency management: [doc](https://docs.omniverse.nvidia.com/kit/docs/kit-manual/latest/guide/creating_kit_apps.html#application-dependencies-management)
## An Omniverse Extension
This template includes one simple extension: `omni.hello.world`. It is loaded in the example app, but can also be loaded and tested in any other *Omniverse App*. You should feel free to copy or rename this extension to one that you wish to create. Please refer to Omniverse Documentation for more information on developing extensions.
### Using Omniverse Launcher
1. Install *Omniverse Launcher*: [download](https://www.nvidia.com/en-us/omniverse/download)
2. Install and launch one of *Omniverse* apps in the Launcher. For instance: *Code*.
### Add a new extension to your *Omniverse App*
If you want to add extensions from this repo to your other existing Omniverse App.
1. In the *Omniverse App* open extension manager: *Window* → *Extensions*.
2. In the *Extension Manager Window* open a settings page, with a small gear button in the top left bar.
3. In the settings page there is a list of *Extension Search Paths*. Add cloned repo `source/extensions` subfolder there as another search path: `C:/projects/kit-project-template/source/extensions`
4. Now you can find `omni.hello.world` extension in the top left search bar. Select and enable it.
5. "My Window" window will pop up. *Extension Manager* watches for any file changes. You can try changing some code in this extension and see them applied immediately with a hotreload.
### Adding a new extension
* Now that `source/extensions` folder was added to the search you can add new extensions to this folder and they will be automatically found by the *App*.
* Look at the *Console* window for warnings and errors. It also has a small button to open current log file.
* All the same commands work on linux. Replace `.bat` with `.sh` and `\` with `/`.
* Extension name is a folder name in `source/extensions`, in this example: `omni.hello.world`. This is most often the same name as the "Extension ID".
* The most important thing that an extension has is its config file: `extension.toml`. You should familiarize yourself with its contents.
* In the *Extensions* window, press *Burger* button near the search bar and select *Show Extension Graph*. It will show how the current *App* comes to be by displaying all its dependencies.
* Extensions system documentation can be found [here](https://docs.omniverse.nvidia.com/kit/docs/kit-manual/latest/guide/extensions_advanced.html)
### Alternative way to add a new extension
To get a better understanding of the extension topology, we recommend following:
1. Run bare `kit.exe` with `source/extensions` folder added as an extensions search path and new extension enabled:
```bash
> kit\kit.exe --ext-folder source/extensions --enable omni.hello.world
```
- `--ext-folder [path]` - adds new folder to the search path
- `--enable [extension]` - enables an extension on startup.
Use `-h` for help:
```bash
> kit\kit.exe -h
```
2. After the *App* starts you should see:
* new "My Window" window popup.
* extension search paths in *Extensions* window as in the previous section.
* extension enabled in the list of extensions.
It starts much faster and will only have extensions enabled that are required for this new extension (look at `[dependencies]` section of `extension.toml`). You can enable more extensions: try adding `--enable omni.kit.window.extensions` to have extensions window enabled (yes, extension window is an extension too!):
```bash
> kit\kit.exe --ext-folder source/extensions --enable omni.hello.world --enable omni.kit.window.extensions
```
You should see a menu in the top left. From this UI you can browse and enable more extensions. It is important to note that these enabled extensions are NOT added to your kit file, but instead live in a local "user" file as an addendum. If you want the extension to be a part of your app, you must add its name to the list of dependencies in the `[dependencies]` section.
# A third way to add an extension
Here is how to add an extension by copying the "hello world" extension as a template:
1. copy `source/extensions/omni.hello.world` to `source/extensions/[new extension id]`
2. rename python module (namespace) in `source/extensions/[new extension id]/omni/hello/world` to `source/extensions/[new extension id]/[new python module]`
3. update `source/extensions/[new extension name]/config/extension.toml`, most importantly specify new python module to load:
4. Optionally, add the `[extension id]` to the `[dependencies]` section of the app's kit file.
[[python.module]]
name = "[new python module]"
# Running Tests
To run tests we run a new configuration where only the tested extension (and its dependencies) is enabled. Like in example above + testing system (`omni.kit.test` extension). There are 2 ways to run extension tests:
1. Run: `tools\test_ext.bat omni.hello.world`
That will run a test process with all tests and exit. For development mode pass `--dev`: that will open test selection window. As everywhere, hotreload also works in this mode, give it a try by changing some code!
2. Alternatively, in *Extension Manager* (*Window → Extensions*) find your extension, click on *TESTS* tab, click *Run Test*
For more information about testing refer to: [testing doc](https://docs.omniverse.nvidia.com/kit/docs/kit-manual/latest/guide/testing_exts_python.html).
No restart is needed, you should be able to find and enable `[new extension name]` in extension manager.
# Sharing extensions
To make extension available to other users use [Github Releases](https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository).
1. Make sure the repo has [omniverse-kit-extension](https://github.com/topics/omniverse-kit-extension) topic set for auto discovery.
2. For each new release increment extension version (in `extension.toml`) and update the changelog (in `docs/CHANGELOG.md`). [Semantic versionning](https://semver.org/) must be used to express severity of API changes.
# Contributing
The source code for this repository is provided as-is and we are not accepting outside contributions.
# License
By using any part of the files in the KIT-PROJECT-TEMPLATE repo you agree to the terms of the NVIDIA Omniverse License Agreement, the most recent version of which is available [here](https://docs.omniverse.nvidia.com/composer/latest/common/NVIDIA_Omniverse_License_Agreement.html). |
NVIDIA-Omniverse/kit-project-template/deps/user.toml | [exts."omni.kit.registry.nucleus"]
registries = [
{ name = "kit/default", url = "https://ovextensionsprod.blob.core.windows.net/exts/kit/prod/shared" },
{ name = "kit/sdk", url = "https://ovextensionsprod.blob.core.windows.net/exts/kit/prod/sdk/${kit_version_short}/${kit_git_hash}" },
]
[app.exts]
folders.'++' = ["${local-config-path}/source/extensions"]
|
NVIDIA-Omniverse/kit-project-template/tools/test_ext.bat | @echo off
setlocal
set arg1=%1
set SCRIPT_DIR=%~dp0
shift
call "%SCRIPT_DIR%\..\kit\kit.exe" --enable omni.kit.test --/exts/omni.kit.test/testExts/0='%arg1%' --/app/enableStdoutOutput=0 --portable-root "%SCRIPT_DIR%\.." %*
|
NVIDIA-Omniverse/kit-project-template/tools/update_version_lock.bat | @echo off
call "%~dp0..\repo.bat" precache_exts -u %*
|
NVIDIA-Omniverse/kit-project-template/tools/package.bat | @echo off
call "%~dp0..\repo.bat" package %*
|
NVIDIA-Omniverse/kit-project-template/tools/package.sh | #!/bin/bash
set -e
SCRIPT_DIR=$(dirname ${BASH_SOURCE})
source "$SCRIPT_DIR/../repo.sh" package $@ || exit $?
|
NVIDIA-Omniverse/kit-project-template/tools/VERSION.md | 105.0 |
NVIDIA-Omniverse/kit-project-template/tools/test_ext.sh | #!/bin/bash
set -e
SCRIPT_DIR=$(dirname ${BASH_SOURCE})
ext_to_test="$1"
shift 1;
"$SCRIPT_DIR/../kit/kit" --enable omni.kit.test --/exts/omni.kit.test/testExts/0="$ext_to_test" --/app/enableStdoutOutput=0 --portable-root "$SCRIPT_DIR/.." "$@"
|
NVIDIA-Omniverse/kit-project-template/tools/update_version_lock.sh | #!/bin/bash
set -e
SCRIPT_DIR=$(dirname ${BASH_SOURCE})
source "$SCRIPT_DIR/../repo.sh" precache_exts -u $@ || exit $?
|
NVIDIA-Omniverse/kit-project-template/tools/deps/repo-deps.packman.xml | <project toolsVersion="5.0">
<dependency name="repo_build" linkPath="../../_repo/deps/repo_build">
<package name="repo_build" version="0.40.0"/>
</dependency>
<dependency name="repo_ci" linkPath="../../_repo/deps/repo_ci">
<package name="repo_ci" version="0.5.1" />
</dependency>
<dependency name="repo_changelog" linkPath="../../_repo/deps/repo_changelog">
<package name="repo_changelog" version="0.3.0" />
</dependency>
<dependency name="repo_format" linkPath="../_repo/deps/repo_format">
<package name="repo_format" version="2.7.0" />
</dependency>
<dependency name="repo_kit_tools" linkPath="../../_repo/deps/repo_kit_tools">
<package name="repo_kit_tools" version="0.12.18"/>
</dependency>
<dependency name="repo_licensing" linkPath="../../_repo/deps/repo_licensing">.
<package name="repo_licensing" version="1.11.2" />
</dependency>
<dependency name="repo_man" linkPath="../../_repo/deps/repo_man">
<package name="repo_man" version="1.32.1"/>
</dependency>
<dependency name="repo_package" linkPath="../../_repo/deps/repo_package">
<package name="repo_package" version="5.8.5" />
</dependency>
<dependency name="repo_source" linkPath="../../_repo/deps/repo_source">
<package name="repo_source" version="0.4.2"/>
</dependency>
<dependency name="repo_test" linkPath="../../_repo/deps/repo_test">
<package name="repo_test" version="2.5.6"/>
</dependency>
</project>
|
NVIDIA-Omniverse/kit-project-template/tools/deps/kit-sdk.packman.xml | <project toolsVersion="5.0">
<dependency name="kit_sdk_${config}" linkPath="../../kit" tags="${config} non-redist">
<package name="kit-kernel" version="105.1+release.127680.dd92291b.tc.${platform}.${config}"/>
</dependency>
</project>
|
NVIDIA-Omniverse/kit-project-template/tools/repoman/repoman.py | import os
import sys
import io
import contextlib
import packmanapi
REPO_ROOT = os.path.join(os.path.dirname(os.path.realpath(__file__)), "../..")
REPO_DEPS_FILE = os.path.join(REPO_ROOT, "tools/deps/repo-deps.packman.xml")
def bootstrap():
"""
Bootstrap all omni.repo modules.
Pull with packman from repo.packman.xml and add them all to python sys.path to enable importing.
"""
#with contextlib.redirect_stdout(io.StringIO()):
deps = packmanapi.pull(REPO_DEPS_FILE)
for dep_path in deps.values():
if dep_path not in sys.path:
sys.path.append(dep_path)
if __name__ == "__main__":
bootstrap()
import omni.repo.man
omni.repo.man.main(REPO_ROOT)
|
NVIDIA-Omniverse/kit-project-template/tools/packman/python.sh | #!/bin/bash
# Copyright 2019-2020 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
set -e
PACKMAN_CMD="$(dirname "${BASH_SOURCE}")/packman"
if [ ! -f "$PACKMAN_CMD" ]; then
PACKMAN_CMD="${PACKMAN_CMD}.sh"
fi
source "$PACKMAN_CMD" init
export PYTHONPATH="${PM_MODULE_DIR}:${PYTHONPATH}"
export PYTHONNOUSERSITE=1
# workaround for our python not shipping with certs
if [[ -z ${SSL_CERT_DIR:-} ]]; then
export SSL_CERT_DIR=/etc/ssl/certs/
fi
"${PM_PYTHON}" -u "$@"
|
NVIDIA-Omniverse/kit-project-template/tools/packman/python.bat | :: Copyright 2019-2020 NVIDIA CORPORATION
::
:: Licensed under the Apache License, Version 2.0 (the "License");
:: you may not use this file except in compliance with the License.
:: You may obtain a copy of the License at
::
:: http://www.apache.org/licenses/LICENSE-2.0
::
:: Unless required by applicable law or agreed to in writing, software
:: distributed under the License is distributed on an "AS IS" BASIS,
:: WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
:: See the License for the specific language governing permissions and
:: limitations under the License.
@echo off
setlocal
call "%~dp0\packman" init
set "PYTHONPATH=%PM_MODULE_DIR%;%PYTHONPATH%"
set PYTHONNOUSERSITE=1
"%PM_PYTHON%" -u %*
|
NVIDIA-Omniverse/kit-project-template/tools/packman/packmanconf.py | # Use this file to bootstrap packman into your Python environment (3.7.x). Simply
# add the path by doing sys.insert to where packmanconf.py is located and then execute:
#
# >>> import packmanconf
# >>> packmanconf.init()
#
# It will use the configured remote(s) and the version of packman in the same folder,
# giving you full access to the packman API via the following module
#
# >> import packmanapi
# >> dir(packmanapi)
import os
import platform
import sys
def init():
"""Call this function to initialize the packman configuration.
Calls to the packman API will work after successfully calling this function.
Note:
This function only needs to be called once during the execution of your
program. Calling it repeatedly is harmless but wasteful.
Compatibility with your Python interpreter is checked and upon failure
the function will report what is required.
Example:
>>> import packmanconf
>>> packmanconf.init()
>>> import packmanapi
>>> packmanapi.set_verbosity_level(packmanapi.VERBOSITY_HIGH)
"""
major = sys.version_info[0]
minor = sys.version_info[1]
if major != 3 or minor != 10:
raise RuntimeError(
f"This version of packman requires Python 3.10.x, but {major}.{minor} was provided"
)
conf_dir = os.path.dirname(os.path.abspath(__file__))
os.environ["PM_INSTALL_PATH"] = conf_dir
packages_root = get_packages_root(conf_dir)
version = get_version(conf_dir)
module_dir = get_module_dir(conf_dir, packages_root, version)
sys.path.insert(1, module_dir)
def get_packages_root(conf_dir: str) -> str:
root = os.getenv("PM_PACKAGES_ROOT")
if not root:
platform_name = platform.system()
if platform_name == "Windows":
drive, _ = os.path.splitdrive(conf_dir)
root = os.path.join(drive, "packman-repo")
elif platform_name == "Darwin":
# macOS
root = os.path.join(
os.path.expanduser("~"), "/Library/Application Support/packman-cache"
)
elif platform_name == "Linux":
try:
cache_root = os.environ["XDG_HOME_CACHE"]
except KeyError:
cache_root = os.path.join(os.path.expanduser("~"), ".cache")
return os.path.join(cache_root, "packman")
else:
raise RuntimeError(f"Unsupported platform '{platform_name}'")
# make sure the path exists:
os.makedirs(root, exist_ok=True)
return root
def get_module_dir(conf_dir, packages_root: str, version: str) -> str:
module_dir = os.path.join(packages_root, "packman-common", version)
if not os.path.exists(module_dir):
import tempfile
tf = tempfile.NamedTemporaryFile(delete=False)
target_name = tf.name
tf.close()
url = f"http://bootstrap.packman.nvidia.com/packman-common@{version}.zip"
print(f"Downloading '{url}' ...")
import urllib.request
urllib.request.urlretrieve(url, target_name)
from importlib.machinery import SourceFileLoader
# import module from path provided
script_path = os.path.join(conf_dir, "bootstrap", "install_package.py")
ip = SourceFileLoader("install_package", script_path).load_module()
print("Unpacking ...")
ip.install_package(target_name, module_dir)
os.unlink(tf.name)
return module_dir
def get_version(conf_dir: str):
path = os.path.join(conf_dir, "packman")
if not os.path.exists(path): # in dev repo fallback
path += ".sh"
with open(path, "rt", encoding="utf8") as launch_file:
for line in launch_file.readlines():
if line.startswith("PM_PACKMAN_VERSION"):
_, value = line.split("=")
return value.strip()
raise RuntimeError(f"Unable to find 'PM_PACKMAN_VERSION' in '{path}'")
|
NVIDIA-Omniverse/kit-project-template/tools/packman/packman.cmd | :: RUN_PM_MODULE must always be at the same spot for packman update to work (batch reloads file during update!)
:: [xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx]
:: Reset errorlevel status (don't inherit from caller)
@call :ECHO_AND_RESET_ERROR
:: You can remove this section if you do your own manual configuration of the dev machines
call :CONFIGURE
if %errorlevel% neq 0 ( exit /b %errorlevel% )
:: Everything below is mandatory
if not defined PM_PYTHON goto :PYTHON_ENV_ERROR
if not defined PM_MODULE goto :MODULE_ENV_ERROR
set PM_VAR_PATH_ARG=
if "%1"=="pull" goto :SET_VAR_PATH
if "%1"=="install" goto :SET_VAR_PATH
:RUN_PM_MODULE
"%PM_PYTHON%" -S -s -u -E "%PM_MODULE%" %* %PM_VAR_PATH_ARG%
if %errorlevel% neq 0 ( exit /b %errorlevel% )
:: Marshall environment variables into the current environment if they have been generated and remove temporary file
if exist "%PM_VAR_PATH%" (
for /F "usebackq tokens=*" %%A in ("%PM_VAR_PATH%") do set "%%A"
)
if %errorlevel% neq 0 ( goto :VAR_ERROR )
if exist "%PM_VAR_PATH%" (
del /F "%PM_VAR_PATH%"
)
if %errorlevel% neq 0 ( goto :VAR_ERROR )
set PM_VAR_PATH=
goto :eof
:: Subroutines below
:PYTHON_ENV_ERROR
@echo User environment variable PM_PYTHON is not set! Please configure machine for packman or call configure.bat.
exit /b 1
:MODULE_ENV_ERROR
@echo User environment variable PM_MODULE is not set! Please configure machine for packman or call configure.bat.
exit /b 1
:VAR_ERROR
@echo Error while processing and setting environment variables!
exit /b 1
:: pad [xxxx]
:ECHO_AND_RESET_ERROR
@echo off
if /I "%PM_VERBOSITY%"=="debug" (
@echo on
)
exit /b 0
:SET_VAR_PATH
:: Generate temporary path for variable file
for /f "delims=" %%a in ('%PM_PYTHON% -S -s -u -E -c "import tempfile;file = tempfile.NamedTemporaryFile(mode='w+t', delete=False);print(file.name)"') do (set PM_VAR_PATH=%%a)
set PM_VAR_PATH_ARG=--var-path="%PM_VAR_PATH%"
goto :RUN_PM_MODULE
:CONFIGURE
:: Must capture and set code page to work around issue #279, powershell invocation mutates console font
:: This issue only happens in Windows CMD shell when using 65001 code page. Some Git Bash implementations
:: don't support chcp so this workaround is a bit convoluted.
:: Test for chcp:
chcp > nul 2>&1
if %errorlevel% equ 0 (
for /f "tokens=2 delims=:" %%a in ('chcp') do (set PM_OLD_CODE_PAGE=%%a)
) else (
call :ECHO_AND_RESET_ERROR
)
:: trim leading space (this is safe even when PM_OLD_CODE_PAGE has not been set)
set PM_OLD_CODE_PAGE=%PM_OLD_CODE_PAGE:~1%
if "%PM_OLD_CODE_PAGE%" equ "65001" (
chcp 437 > nul
set PM_RESTORE_CODE_PAGE=1
)
call "%~dp0\bootstrap\configure.bat"
set PM_CONFIG_ERRORLEVEL=%errorlevel%
if defined PM_RESTORE_CODE_PAGE (
:: Restore code page
chcp %PM_OLD_CODE_PAGE% > nul
)
set PM_OLD_CODE_PAGE=
set PM_RESTORE_CODE_PAGE=
exit /b %PM_CONFIG_ERRORLEVEL%
|
NVIDIA-Omniverse/kit-project-template/tools/packman/config.packman.xml | <config remotes="cloudfront">
<remote2 name="cloudfront">
<transport actions="download" protocol="https" packageLocation="d4i3qtqj3r0z5.cloudfront.net/${name}@${version}" />
</remote2>
</config>
|
NVIDIA-Omniverse/kit-project-template/tools/packman/bootstrap/generate_temp_file_name.ps1 | <#
Copyright 2019 NVIDIA CORPORATION
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
#>
$out = [System.IO.Path]::GetTempFileName()
Write-Host $out
# SIG # Begin signature block
# MIIaVwYJKoZIhvcNAQcCoIIaSDCCGkQCAQExDzANBglghkgBZQMEAgEFADB5Bgor
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# SIG # End signature block
|
NVIDIA-Omniverse/kit-project-template/tools/packman/bootstrap/configure.bat | :: Copyright 2019-2023 NVIDIA CORPORATION
::
:: Licensed under the Apache License, Version 2.0 (the "License");
:: you may not use this file except in compliance with the License.
:: You may obtain a copy of the License at
::
:: http://www.apache.org/licenses/LICENSE-2.0
::
:: Unless required by applicable law or agreed to in writing, software
:: distributed under the License is distributed on an "AS IS" BASIS,
:: WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
:: See the License for the specific language governing permissions and
:: limitations under the License.
set PM_PACKMAN_VERSION=7.3.2
:: Specify where packman command is rooted
set PM_INSTALL_PATH=%~dp0..
:: The external root may already be configured and we should do minimal work in that case
if defined PM_PACKAGES_ROOT goto ENSURE_DIR
:: If the folder isn't set we assume that the best place for it is on the drive that we are currently
:: running from
set PM_DRIVE=%CD:~0,2%
set PM_PACKAGES_ROOT=%PM_DRIVE%\packman-repo
:: We use *setx* here so that the variable is persisted in the user environment
echo Setting user environment variable PM_PACKAGES_ROOT to %PM_PACKAGES_ROOT%
setx PM_PACKAGES_ROOT %PM_PACKAGES_ROOT%
if %errorlevel% neq 0 ( goto ERROR )
:: The above doesn't work properly from a build step in VisualStudio because a separate process is
:: spawned for it so it will be lost for subsequent compilation steps - VisualStudio must
:: be launched from a new process. We catch this odd-ball case here:
if defined PM_DISABLE_VS_WARNING goto ENSURE_DIR
if not defined VSLANG goto ENSURE_DIR
echo The above is a once-per-computer operation. Unfortunately VisualStudio cannot pick up environment change
echo unless *VisualStudio is RELAUNCHED*.
echo If you are launching VisualStudio from command line or command line utility make sure
echo you have a fresh launch environment (relaunch the command line or utility).
echo If you are using 'linkPath' and referring to packages via local folder links you can safely ignore this warning.
echo You can disable this warning by setting the environment variable PM_DISABLE_VS_WARNING.
echo.
:: Check for the directory that we need. Note that mkdir will create any directories
:: that may be needed in the path
:ENSURE_DIR
if not exist "%PM_PACKAGES_ROOT%" (
echo Creating packman packages cache at %PM_PACKAGES_ROOT%
mkdir "%PM_PACKAGES_ROOT%"
)
if %errorlevel% neq 0 ( goto ERROR_MKDIR_PACKAGES_ROOT )
:: The Python interpreter may already be externally configured
if defined PM_PYTHON_EXT (
set PM_PYTHON=%PM_PYTHON_EXT%
goto PACKMAN
)
set PM_PYTHON_VERSION=3.10.5-1-windows-x86_64
set PM_PYTHON_BASE_DIR=%PM_PACKAGES_ROOT%\python
set PM_PYTHON_DIR=%PM_PYTHON_BASE_DIR%\%PM_PYTHON_VERSION%
set PM_PYTHON=%PM_PYTHON_DIR%\python.exe
if exist "%PM_PYTHON%" goto PACKMAN
if not exist "%PM_PYTHON_BASE_DIR%" call :CREATE_PYTHON_BASE_DIR
set PM_PYTHON_PACKAGE=python@%PM_PYTHON_VERSION%.cab
for /f "delims=" %%a in ('powershell -ExecutionPolicy ByPass -NoLogo -NoProfile -File "%~dp0\generate_temp_file_name.ps1"') do set TEMP_FILE_NAME=%%a
set TARGET=%TEMP_FILE_NAME%.zip
call "%~dp0fetch_file_from_packman_bootstrap.cmd" %PM_PYTHON_PACKAGE% "%TARGET%"
if %errorlevel% neq 0 (
echo !!! Error fetching python from CDN !!!
goto ERROR
)
for /f "delims=" %%a in ('powershell -ExecutionPolicy ByPass -NoLogo -NoProfile -File "%~dp0\generate_temp_folder.ps1" -parentPath "%PM_PYTHON_BASE_DIR%"') do set TEMP_FOLDER_NAME=%%a
echo Unpacking Python interpreter ...
"%SystemRoot%\system32\expand.exe" -F:* "%TARGET%" "%TEMP_FOLDER_NAME%" 1> nul
del "%TARGET%"
:: Failure during extraction to temp folder name, need to clean up and abort
if %errorlevel% neq 0 (
echo !!! Error unpacking python !!!
call :CLEAN_UP_TEMP_FOLDER
goto ERROR
)
:: If python has now been installed by a concurrent process we need to clean up and then continue
if exist "%PM_PYTHON%" (
call :CLEAN_UP_TEMP_FOLDER
goto PACKMAN
) else (
if exist "%PM_PYTHON_DIR%" ( rd /s /q "%PM_PYTHON_DIR%" > nul )
)
:: Perform atomic move (allowing ovewrite, /y)
move /y "%TEMP_FOLDER_NAME%" "%PM_PYTHON_DIR%" 1> nul
:: Verify that python.exe is now where we expect
if exist "%PM_PYTHON%" goto PACKMAN
:: Wait a second and try again (can help with access denied weirdness)
timeout /t 1 /nobreak 1> nul
move /y "%TEMP_FOLDER_NAME%" "%PM_PYTHON_DIR%" 1> nul
if %errorlevel% neq 0 (
echo !!! Error moving python %TEMP_FOLDER_NAME% -> %PM_PYTHON_DIR% !!!
call :CLEAN_UP_TEMP_FOLDER
goto ERROR
)
:PACKMAN
:: The packman module may already be externally configured
if defined PM_MODULE_DIR_EXT (
set PM_MODULE_DIR=%PM_MODULE_DIR_EXT%
) else (
set PM_MODULE_DIR=%PM_PACKAGES_ROOT%\packman-common\%PM_PACKMAN_VERSION%
)
set PM_MODULE=%PM_MODULE_DIR%\run.py
if exist "%PM_MODULE%" goto END
:: Clean out broken PM_MODULE_DIR if it exists
if exist "%PM_MODULE_DIR%" ( rd /s /q "%PM_MODULE_DIR%" > nul )
set PM_MODULE_PACKAGE=packman-common@%PM_PACKMAN_VERSION%.zip
for /f "delims=" %%a in ('powershell -ExecutionPolicy ByPass -NoLogo -NoProfile -File "%~dp0\generate_temp_file_name.ps1"') do set TEMP_FILE_NAME=%%a
set TARGET=%TEMP_FILE_NAME%
call "%~dp0fetch_file_from_packman_bootstrap.cmd" %PM_MODULE_PACKAGE% "%TARGET%"
if %errorlevel% neq 0 (
echo !!! Error fetching packman from CDN !!!
goto ERROR
)
echo Unpacking ...
"%PM_PYTHON%" -S -s -u -E "%~dp0\install_package.py" "%TARGET%" "%PM_MODULE_DIR%"
if %errorlevel% neq 0 (
echo !!! Error unpacking packman !!!
goto ERROR
)
del "%TARGET%"
goto END
:ERROR_MKDIR_PACKAGES_ROOT
echo Failed to automatically create packman packages repo at %PM_PACKAGES_ROOT%.
echo Please set a location explicitly that packman has permission to write to, by issuing:
echo.
echo setx PM_PACKAGES_ROOT {path-you-choose-for-storing-packman-packages-locally}
echo.
echo Then launch a new command console for the changes to take effect and run packman command again.
exit /B %errorlevel%
:ERROR
echo !!! Failure while configuring local machine :( !!!
exit /B %errorlevel%
:CLEAN_UP_TEMP_FOLDER
rd /S /Q "%TEMP_FOLDER_NAME%"
exit /B
:CREATE_PYTHON_BASE_DIR
:: We ignore errors and clean error state - if two processes create the directory one will fail which is fine
md "%PM_PYTHON_BASE_DIR%" > nul 2>&1
exit /B 0
:END
|
NVIDIA-Omniverse/kit-project-template/tools/packman/bootstrap/fetch_file_from_packman_bootstrap.cmd | :: Copyright 2019 NVIDIA CORPORATION
::
:: Licensed under the Apache License, Version 2.0 (the "License");
:: you may not use this file except in compliance with the License.
:: You may obtain a copy of the License at
::
:: http://www.apache.org/licenses/LICENSE-2.0
::
:: Unless required by applicable law or agreed to in writing, software
:: distributed under the License is distributed on an "AS IS" BASIS,
:: WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
:: See the License for the specific language governing permissions and
:: limitations under the License.
:: You need to specify <package-name> <target-path> as input to this command
@setlocal
@set PACKAGE_NAME=%1
@set TARGET_PATH=%2
@echo Fetching %PACKAGE_NAME% ...
@powershell -ExecutionPolicy ByPass -NoLogo -NoProfile -File "%~dp0download_file_from_url.ps1" ^
-source "http://bootstrap.packman.nvidia.com/%PACKAGE_NAME%" -output %TARGET_PATH%
:: A bug in powershell prevents the errorlevel code from being set when using the -File execution option
:: We must therefore do our own failure analysis, basically make sure the file exists:
@if not exist %TARGET_PATH% goto ERROR_DOWNLOAD_FAILED
@endlocal
@exit /b 0
:ERROR_DOWNLOAD_FAILED
@echo Failed to download file from S3
@echo Most likely because endpoint cannot be reached or file %PACKAGE_NAME% doesn't exist
@endlocal
@exit /b 1 |
NVIDIA-Omniverse/kit-project-template/tools/packman/bootstrap/download_file_from_url.ps1 | <#
Copyright 2019 NVIDIA CORPORATION
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
#>
param(
[Parameter(Mandatory=$true)][string]$source=$null,
[string]$output="out.exe"
)
$filename = $output
$triesLeft = 4
$delay = 2
do
{
$triesLeft -= 1
try
{
Write-Host "Downloading from bootstrap.packman.nvidia.com ..."
$wc = New-Object net.webclient
$wc.Downloadfile($source, $fileName)
exit 0
}
catch
{
Write-Host "Error downloading $source!"
Write-Host $_.Exception|format-list -force
if ($triesLeft)
{
Write-Host "Retrying in $delay seconds ..."
Start-Sleep -seconds $delay
}
$delay = $delay * $delay
}
} while ($triesLeft -gt 0)
# We only get here if the retries have been exhausted, remove any left-overs:
if (Test-Path $fileName)
{
Remove-Item $fileName
}
exit 1 |
NVIDIA-Omniverse/kit-project-template/tools/packman/bootstrap/generate_temp_folder.ps1 | <#
Copyright 2019 NVIDIA CORPORATION
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
#>
param(
[Parameter(Mandatory=$true)][string]$parentPath=$null
)
[string] $name = [System.Guid]::NewGuid()
$out = Join-Path $parentPath $name
New-Item -ItemType Directory -Path ($out) | Out-Null
Write-Host $out
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# SIG # End signature block
|
NVIDIA-Omniverse/kit-project-template/tools/packman/bootstrap/install_package.py | # Copyright 2019 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import zipfile
import tempfile
import sys
import os
import stat
import time
from typing import Any, Callable
RENAME_RETRY_COUNT = 100
RENAME_RETRY_DELAY = 0.1
logging.basicConfig(level=logging.WARNING, format="%(message)s")
logger = logging.getLogger("install_package")
def remove_directory_item(path):
if os.path.islink(path) or os.path.isfile(path):
try:
os.remove(path)
except PermissionError:
# make sure we have access and try again:
os.chmod(path, stat.S_IRWXU)
os.remove(path)
else:
# try first to delete the dir because this will work for folder junctions, otherwise we would follow the junctions and cause destruction!
clean_out_folder = False
try:
# make sure we have access preemptively - this is necessary because recursing into a directory without permissions
# will only lead to heart ache
os.chmod(path, stat.S_IRWXU)
os.rmdir(path)
except OSError:
clean_out_folder = True
if clean_out_folder:
# we should make sure the directory is empty
names = os.listdir(path)
for name in names:
fullname = os.path.join(path, name)
remove_directory_item(fullname)
# now try to again get rid of the folder - and not catch if it raises:
os.rmdir(path)
class StagingDirectory:
def __init__(self, staging_path):
self.staging_path = staging_path
self.temp_folder_path = None
os.makedirs(staging_path, exist_ok=True)
def __enter__(self):
self.temp_folder_path = tempfile.mkdtemp(prefix="ver-", dir=self.staging_path)
return self
def get_temp_folder_path(self):
return self.temp_folder_path
# this function renames the temp staging folder to folder_name, it is required that the parent path exists!
def promote_and_rename(self, folder_name):
abs_dst_folder_name = os.path.join(self.staging_path, folder_name)
os.rename(self.temp_folder_path, abs_dst_folder_name)
def __exit__(self, type, value, traceback):
# Remove temp staging folder if it's still there (something went wrong):
path = self.temp_folder_path
if os.path.isdir(path):
remove_directory_item(path)
def rename_folder(staging_dir: StagingDirectory, folder_name: str):
try:
staging_dir.promote_and_rename(folder_name)
except OSError as exc:
# if we failed to rename because the folder now exists we can assume that another packman process
# has managed to update the package before us - in all other cases we re-raise the exception
abs_dst_folder_name = os.path.join(staging_dir.staging_path, folder_name)
if os.path.exists(abs_dst_folder_name):
logger.warning(
f"Directory {abs_dst_folder_name} already present, package installation already completed"
)
else:
raise
def call_with_retry(
op_name: str, func: Callable, retry_count: int = 3, retry_delay: float = 20
) -> Any:
retries_left = retry_count
while True:
try:
return func()
except (OSError, IOError) as exc:
logger.warning(f"Failure while executing {op_name} [{str(exc)}]")
if retries_left:
retry_str = "retry" if retries_left == 1 else "retries"
logger.warning(
f"Retrying after {retry_delay} seconds"
f" ({retries_left} {retry_str} left) ..."
)
time.sleep(retry_delay)
else:
logger.error("Maximum retries exceeded, giving up")
raise
retries_left -= 1
def rename_folder_with_retry(staging_dir: StagingDirectory, folder_name):
dst_path = os.path.join(staging_dir.staging_path, folder_name)
call_with_retry(
f"rename {staging_dir.get_temp_folder_path()} -> {dst_path}",
lambda: rename_folder(staging_dir, folder_name),
RENAME_RETRY_COUNT,
RENAME_RETRY_DELAY,
)
def install_package(package_path, install_path):
staging_path, version = os.path.split(install_path)
with StagingDirectory(staging_path) as staging_dir:
output_folder = staging_dir.get_temp_folder_path()
with zipfile.ZipFile(package_path, allowZip64=True) as zip_file:
zip_file.extractall(output_folder)
# attempt the rename operation
rename_folder_with_retry(staging_dir, version)
print(f"Package successfully installed to {install_path}")
if __name__ == "__main__":
executable_paths = os.getenv("PATH")
paths_list = executable_paths.split(os.path.pathsep) if executable_paths else []
target_path_np = os.path.normpath(sys.argv[2])
target_path_np_nc = os.path.normcase(target_path_np)
for exec_path in paths_list:
if os.path.normcase(os.path.normpath(exec_path)) == target_path_np_nc:
raise RuntimeError(f"packman will not install to executable path '{exec_path}'")
install_package(sys.argv[1], target_path_np)
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/config/extension.toml | [package]
# Semantic Versionning is used: https://semver.org/
version = "1.0.0"
# The title and description fields are primarily for displaying extension info in UI
title = "Simple UI Extension Template"
description = "The simplest python extension example. Use it as a starting point for your extensions."
# Path (relative to the root) or content of readme markdown file for UI.
readme = "docs/README.md"
# Path (relative to the root) of changelog
changelog = "docs/CHANGELOG.md"
# URL of the extension source repository.
repository = "https://github.com/NVIDIA-Omniverse/kit-project-template"
# One of categories for UI.
category = "Example"
# Keywords for the extension
keywords = ["kit", "example"]
# Icon to show in the extension manager
icon = "data/icon.png"
# Preview to show in the extension manager
preview_image = "data/preview.png"
# Use omni.ui to build simple UI
[dependencies]
"omni.kit.uiapp" = {}
# Main python module this extension provides, it will be publicly available as "import omni.hello.world".
[[python.module]]
name = "omni.hello.world"
[[test]]
# Extra dependencies only to be used during test run
dependencies = [
"omni.kit.ui_test" # UI testing extension
]
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/omni/hello/world/extension.py | # Copyright 2019-2023 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import omni.ext
import omni.ui as ui
# Functions and vars are available to other extension as usual in python: `example.python_ext.some_public_function(x)`
def some_public_function(x: int):
print(f"[omni.hello.world] some_public_function was called with {x}")
return x ** x
# Any class derived from `omni.ext.IExt` in top level module (defined in `python.modules` of `extension.toml`) will be
# instantiated when extension gets enabled and `on_startup(ext_id)` will be called. Later when extension gets disabled
# on_shutdown() is called.
class MyExtension(omni.ext.IExt):
# ext_id is current extension id. It can be used with extension manager to query additional information, like where
# this extension is located on filesystem.
def on_startup(self, ext_id):
print("[omni.hello.world] MyExtension startup")
self._count = 0
self._window = ui.Window("My Window", width=300, height=300)
with self._window.frame:
with ui.VStack():
label = ui.Label("")
def on_click():
self._count += 1
label.text = f"count: {self._count}"
def on_reset():
self._count = 0
label.text = "empty"
on_reset()
with ui.HStack():
ui.Button("Add", clicked_fn=on_click)
ui.Button("Reset", clicked_fn=on_reset)
def on_shutdown(self):
print("[omni.hello.world] MyExtension shutdown")
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/omni/hello/world/__init__.py | # Copyright 2019-2023 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .extension import *
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/omni/hello/world/tests/__init__.py | # Copyright 2019-2023 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .test_hello_world import *
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/omni/hello/world/tests/test_hello_world.py | # Copyright 2019-2023 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# NOTE:
# omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests
# For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html
import omni.kit.test
# Extnsion for writing UI tests (simulate UI interaction)
import omni.kit.ui_test as ui_test
# Import extension python module we are testing with absolute import path, as if we are external user (other extension)
import omni.hello.world
# Having a test class dervived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test
class Test(omni.kit.test.AsyncTestCase):
# Before running each test
async def setUp(self):
pass
# After running each test
async def tearDown(self):
pass
# Actual test, notice it is "async" function, so "await" can be used if needed
async def test_hello_public_function(self):
result = omni.hello.world.some_public_function(4)
self.assertEqual(result, 256)
async def test_window_button(self):
# Find a label in our window
label = ui_test.find("My Window//Frame/**/Label[*]")
# Find buttons in our window
add_button = ui_test.find("My Window//Frame/**/Button[*].text=='Add'")
reset_button = ui_test.find("My Window//Frame/**/Button[*].text=='Reset'")
# Click reset button
await reset_button.click()
self.assertEqual(label.widget.text, "empty")
await add_button.click()
self.assertEqual(label.widget.text, "count: 1")
await add_button.click()
self.assertEqual(label.widget.text, "count: 2")
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/docs/CHANGELOG.md | # Changelog
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [1.0.0] - 2021-04-26
- Initial version of extension UI template with a window
|
NVIDIA-Omniverse/kit-project-template/source/extensions/omni.hello.world/docs/README.md | # Simple UI Extension Template
The simplest python extension example. Use it as a starting point for your extensions.
|
NVIDIA-Omniverse/kit-project-template/source/apps/my_name.my_app.sh | #!/bin/bash
set -e
SCRIPT_DIR=$(dirname ${BASH_SOURCE})
exec "$SCRIPT_DIR/../../kit/kit" "$SCRIPT_DIR/my_name.my_app.kit" "$@"
|
NVIDIA-Omniverse/kit-project-template/source/apps/my_name.my_app.bat | @echo off
setlocal
call "%~dp0..\..\kit\kit.exe" "%%~dp0my_name.my_app.kit" %*
|
NVIDIA-Omniverse/kit-project-template/source/apps/my_name.my_app.kit | [package]
title = "My Simple Application"
version = "1.0.0"
description = """This Simple application shows you how to make an application"""
# Keywords make it browseable in UI using the "experience" filter
keywords = ["app"]
[dependencies]
# Create Kit UI Based applications
"omni.app.editor.base" = {}
"omni.hello.world" = {}
# Vulkan shader caches
"omni.rtx.shadercache.vulkan" = {}
# DX shader caches (windows only)
[dependencies."filter:platform"."windows-x86_64"]
"omni.rtx.shadercache.d3d12" = {}
[settings.app]
fastShutdown = true
# Register extension folders from this repo in kit
# These are the paths where Kit looks for extensions
# Your application is using Extensions from your application
# Here they are setup into a single folder "source/extensions" but you can have you own structure if you need
# see we also add the Extension from the Base application using their extscache
[settings.app.exts]
folders.'++' = ["${app}/../extensions"]
# Public extension registries
[settings.exts."omni.kit.registry.nucleus"]
registries = [
{ name = "kit/default", url = "https://ovextensionsprod.blob.core.windows.net/exts/kit/prod/shared" },
{ name = "kit/sdk", url = "https://ovextensionsprod.blob.core.windows.net/exts/kit/prod/sdk/${kit_version_short}/${kit_git_hash}" },
]
########################################################################################################################
# BEGIN GENERATED PART (Remove from 'BEGIN' to 'END' to regenerate)
########################################################################################################################
# Kit SDK Version: 105.0.1+release.109416.fc39ae6e.tc
# Version lock for all dependencies:
[settings.app.exts]
enabled = [
"omni.hello.world-1.0.0",
]
########################################################################################################################
# END GENERATED PART
######################################################################################################################## |
NVIDIA-Omniverse/kit-project-template/source/package/description.toml | # Description of the application for the Omniverse Launcher
name = "My App" # displayed application name
shortName = "My App" # displayed application name in smaller card and library view
version = "${version}" # version must be semantic
kind = "app" # enum of "app", "connector" and "experience" for now
latest = true # boolean for if this version is the latest version
slug = "my_app" # unique identifier for component, all lower case, persists between versions
productArea = "My Company" # displayed before application name in launcher
category = "Apps" # category of content
channel = "release" # 3 filter types [ "alpha", "beta", "release "]
enterpriseStatus = false # Set true if you want this package to show in enterprise launcher
# values for filtering content
tags = [
"Media & Entertainment",
"Manufacturing",
"Product Design",
"Scene Composition",
"Visualization",
"Rendering"
]
# string array, each line is a new line, keep lines under 256 char and keep lines under 4
description = [
"My App is an application to showcase how to build an Omniverse App. ",
"FEATURES:",
"- Small and simple.",
"- Easy to change."
]
# array of links for more info on product
[[links]]
title = "Release Notes"
url = "https://google.com"
[[links]]
title = "Documentation"
url = "https://google.com"
|
NVIDIA-Omniverse/Blender-Addon-UMM/License.txt | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK ##### |
NVIDIA-Omniverse/Blender-Addon-UMM/README.md | # DEPRECATED
This repo has been deprecated. Please see [NVIDIA-Omniverse/blender_omniverse_addons](https://github.com/NVIDIA-Omniverse/blender_omniverse_addons)
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
"""
To invoke in Blender script editor:
import bpy
bpy.ops.universalmaterialmap.generator()
bpy.ops.universalmaterialmap.converter()
INFO_HT_header
Header
VIEW3D_HT_tool_header
Info Header: INFO_HT_HEADER
3D View Header: VIEW3D_HT_HEADER
Timeline Header: TIME_HT_HEADER
Outliner Header: OUTLINER_HT_HEADER
Properties Header: PROPERTIES_HT_HEADER, etc.
"""
"""
Menu location problem
https://blender.stackexchange.com/questions/3393/add-custom-menu-at-specific-location-in-the-header#:~:text=Blender%20has%20a%20built%20in,%3EPython%2D%3EUI%20Menu.
"""
bl_info = {
'name': 'Universal Material Map',
'author': 'NVIDIA Corporation',
'description': 'A Blender AddOn based on the Universal Material Map framework.',
'blender': (3, 1, 0),
'location': 'View3D',
'warning': '',
'category': 'Omniverse'
}
import sys
import importlib
import bpy
from .universalmaterialmap.blender import developer_mode
if developer_mode:
print('UMM DEBUG: Initializing "{0}"'.format(__file__))
ordered_module_names = [
'omni.universalmaterialmap',
'omni.universalmaterialmap.core',
'omni.universalmaterialmap.core.feature',
'omni.universalmaterialmap.core.singleton',
'omni.universalmaterialmap.core.data',
'omni.universalmaterialmap.core.util',
'omni.universalmaterialmap.core.operator',
'omni.universalmaterialmap.core.service',
'omni.universalmaterialmap.core.service.core',
'omni.universalmaterialmap.core.service.delegate',
'omni.universalmaterialmap.core.service.resources',
'omni.universalmaterialmap.core.service.store',
'omni.universalmaterialmap.core.converter',
'omni.universalmaterialmap.core.converter.core',
'omni.universalmaterialmap.core.converter.util',
'omni.universalmaterialmap.core.generator',
'omni.universalmaterialmap.core.generator.core',
'omni.universalmaterialmap.core.generator.util',
'omni.universalmaterialmap.blender',
'omni.universalmaterialmap.blender.menu',
'omni.universalmaterialmap.blender.converter',
'omni.universalmaterialmap.blender.generator',
'omni.universalmaterialmap.blender.material',
]
for module_name in sys.modules:
if 'omni.' not in module_name:
continue
if module_name not in ordered_module_names:
raise Exception('Unexpected module name in sys.modules: {0}'.format(module_name))
for module_name in ordered_module_names:
if module_name in sys.modules:
print('UMM reloading: {0}'.format(module_name))
importlib.reload(sys.modules.get(module_name))
if developer_mode:
from .universalmaterialmap.blender.converter import OT_InstanceToDataConverter, OT_DataToInstanceConverter, OT_DataToDataConverter, OT_ApplyDataToInstance, OT_DescribeShaderGraph
from .universalmaterialmap.blender.converter import OT_CreateTemplateOmniPBR, OT_CreateTemplateOmniGlass
from .universalmaterialmap.blender.menu import UniversalMaterialMapMenu
from .universalmaterialmap.blender.generator import OT_Generator
else:
from .universalmaterialmap.blender.converter import OT_CreateTemplateOmniPBR, OT_CreateTemplateOmniGlass
from .universalmaterialmap.blender.menu import UniversalMaterialMapMenu
def draw_item(self, context):
layout = self.layout
layout.menu(UniversalMaterialMapMenu.bl_idname)
def register():
bpy.utils.register_class(OT_CreateTemplateOmniPBR)
bpy.utils.register_class(OT_CreateTemplateOmniGlass)
if developer_mode:
bpy.utils.register_class(OT_DataToInstanceConverter)
bpy.utils.register_class(OT_DataToDataConverter)
bpy.utils.register_class(OT_ApplyDataToInstance)
bpy.utils.register_class(OT_InstanceToDataConverter)
bpy.utils.register_class(OT_DescribeShaderGraph)
bpy.utils.register_class(OT_Generator)
bpy.utils.register_class(UniversalMaterialMapMenu)
# lets add ourselves to the main header
bpy.types.NODE_HT_header.append(draw_item)
def unregister():
bpy.utils.unregister_class(OT_CreateTemplateOmniPBR)
bpy.utils.unregister_class(OT_CreateTemplateOmniGlass)
if developer_mode:
bpy.utils.unregister_class(OT_DataToInstanceConverter)
bpy.utils.unregister_class(OT_DataToDataConverter)
bpy.utils.unregister_class(OT_ApplyDataToInstance)
bpy.utils.unregister_class(OT_InstanceToDataConverter)
bpy.utils.unregister_class(OT_DescribeShaderGraph)
bpy.utils.unregister_class(OT_Generator)
bpy.utils.unregister_class(UniversalMaterialMapMenu)
bpy.types.NODE_HT_header.remove(draw_item)
if __name__ == "__main__":
register()
# The menu can also be called from scripts
# bpy.ops.wm.call_menu(name=UniversalMaterialMapMenu.bl_idname)
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/util.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import typing
import sys
from .data import Plug
def to_plug_value_type(value: typing.Any, assumed_value_type: str) -> str:
"""Returns matching :class:`omni.universalmaterialmap.core.data.Plug` value type."""
if sys.version_info.major < 3:
if isinstance(value, basestring):
return Plug.VALUE_TYPE_STRING
else:
if isinstance(value, str):
return Plug.VALUE_TYPE_STRING
if type(value) == bool:
return Plug.VALUE_TYPE_BOOLEAN
if isinstance(value, int):
return Plug.VALUE_TYPE_INTEGER
if isinstance(value, float):
return Plug.VALUE_TYPE_FLOAT
try:
test = iter(value)
is_iterable = True
except TypeError:
is_iterable = False
if is_iterable:
if assumed_value_type == Plug.VALUE_TYPE_LIST:
return Plug.VALUE_TYPE_LIST
bum_booleans = 0
num_integers = 0
num_floats = 0
num_strings = 0
for o in value:
if sys.version_info.major < 3:
if isinstance(value, basestring):
num_strings += 1
continue
else:
if isinstance(value, str):
num_strings += 1
continue
if type(o) == bool:
bum_booleans += 1
continue
if isinstance(o, int):
num_integers += 1
continue
if isinstance(o, float):
num_floats += 1
if num_floats > 0:
if len(value) == 2:
return Plug.VALUE_TYPE_VECTOR2
if len(value) == 3:
return Plug.VALUE_TYPE_VECTOR3
if len(value) == 4:
return Plug.VALUE_TYPE_VECTOR4
if len(value) == 2 and assumed_value_type == Plug.VALUE_TYPE_VECTOR2:
return assumed_value_type
if len(value) == 3 and assumed_value_type == Plug.VALUE_TYPE_VECTOR3:
return assumed_value_type
if len(value) == 4 and assumed_value_type == Plug.VALUE_TYPE_VECTOR4:
return assumed_value_type
return Plug.VALUE_TYPE_LIST
return Plug.VALUE_TYPE_ANY
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/extension.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
from . import *
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/data.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import typing
import uuid
import sys
import importlib
from .service.core import IDelegate
class ChangeNotification(object):
def __init__(self, item: object, property_name: str, old_value: typing.Any, new_value: typing.Any):
super(ChangeNotification, self).__init__()
self._item: object = item
self._property_name: str = property_name
self._old_value: typing.Any = old_value
self._new_value: typing.Any = new_value
@property
def item(self) -> object:
""" """
return self._item
@property
def property_name(self) -> str:
""" """
return self._property_name
@property
def old_value(self) -> typing.Any:
""" """
return self._old_value
@property
def new_value(self) -> typing.Any:
""" """
return self._new_value
class Notifying(object):
"""Base class providing change notification capability"""
def __init__(self):
super(Notifying, self).__init__()
self._changed_callbacks: typing.Dict[uuid.uuid4, typing.Callable[[ChangeNotification], typing.NoReturn]] = dict()
def add_changed_fn(self, callback: typing.Callable[[ChangeNotification], typing.NoReturn]) -> uuid.uuid4:
for key, value in self._changed_callbacks.items():
if value == callback:
return key
key = uuid.uuid4()
self._changed_callbacks[key] = callback
return key
def remove_changed_fn(self, callback_id: uuid.uuid4) -> None:
if callback_id in self._changed_callbacks.keys():
del self._changed_callbacks[callback_id]
def _notify(self, notification: ChangeNotification):
for callback in self._changed_callbacks.values():
callback(notification)
def destroy(self):
self._changed_callbacks = None
class Subscribing(Notifying):
def __init__(self):
super(Subscribing, self).__init__()
self._subscriptions: typing.Dict[Notifying, uuid.uuid4] = dict()
def _subscribe(self, notifying: Notifying) -> uuid.uuid4:
if notifying in self._subscriptions.keys():
return self._subscriptions[notifying]
self._subscriptions[notifying] = notifying.add_changed_fn(self._on_notification)
def _unsubscribe(self, notifying: Notifying) -> None:
if notifying in self._subscriptions.keys():
callback_id = self._subscriptions[notifying]
del self._subscriptions[notifying]
notifying.remove_changed_fn(callback_id=callback_id)
def _on_notification(self, notification: ChangeNotification) -> None:
pass
class ManagedListInsert(object):
def __init__(self, notifying: Notifying, index: int):
super(ManagedListInsert, self).__init__()
self._notifying: Notifying = notifying
self._index: int = index
@property
def notifying(self) -> Notifying:
""" """
return self._notifying
@property
def index(self) -> int:
""" """
return self._index
class ManagedListRemove(object):
def __init__(self, notifying: Notifying, index: int):
super(ManagedListRemove, self).__init__()
self._notifying: Notifying = notifying
self._index: int = index
@property
def notifying(self) -> Notifying:
""" """
return self._notifying
@property
def index(self) -> int:
""" """
return self._index
class ManagedListNotification(object):
ADDED_ITEMS: int = 0
UPDATED_ITEMS: int = 1
REMOVED_ITEMS: int = 2
def __init__(self, managed_list: 'ManagedList', items: typing.List[typing.Union[ManagedListInsert, ChangeNotification, ManagedListRemove]]):
super(ManagedListNotification, self).__init__()
self._managed_list: ManagedList = managed_list
self._inserted_items: typing.List[ManagedListInsert] = []
self._change_notifications: typing.List[ChangeNotification] = []
self._removed_items: typing.List[ManagedListRemove] = []
self._kind: int = -1
if isinstance(items[0], ManagedListInsert):
self._kind = ManagedListNotification.ADDED_ITEMS
self._inserted_items = typing.cast(typing.List[ManagedListInsert], items)
elif isinstance(items[0], ChangeNotification):
self._kind = ManagedListNotification.UPDATED_ITEMS
self._change_notifications = typing.cast(typing.List[ChangeNotification], items)
elif isinstance(items[0], ManagedListRemove):
self._kind = ManagedListNotification.REMOVED_ITEMS
self._removed_items = typing.cast(typing.List[ManagedListRemove], items)
else:
raise Exception('Unexpected object: "{0}" of type "{1}".'.format(items[0], type(items[0])))
@property
def managed_list(self) -> 'ManagedList':
""" """
return self._managed_list
@property
def kind(self) -> int:
""" """
return self._kind
@property
def inserted_items(self) -> typing.List[ManagedListInsert]:
""" """
return self._inserted_items
@property
def change_notifications(self) -> typing.List[ChangeNotification]:
""" """
return self._change_notifications
@property
def removed_items(self) -> typing.List[ManagedListRemove]:
""" """
return self._removed_items
class ManagedList(object):
def __init__(self, items: typing.List[Notifying] = None):
super(ManagedList, self).__init__()
self._subscriptions: typing.Dict[Notifying, uuid.uuid4] = dict()
self._changed_callbacks: typing.Dict[uuid.uuid4, typing.Callable[[ManagedListNotification], typing.NoReturn]] = dict()
self._managed_items: typing.List[Notifying] = []
if items:
for o in items:
self._manage_item(notifying=o)
def __iter__(self):
return iter(self._managed_items)
def _manage_item(self, notifying: Notifying) -> typing.Union[Notifying, None]:
""" Subscribes to managed item. Returns item only if it became managed. """
if notifying in self._managed_items:
return None
self._managed_items.append(notifying)
self._subscriptions[notifying] = notifying.add_changed_fn(self._on_notification)
return notifying
def _unmanage_item(self, notifying: Notifying) -> typing.Union[typing.Tuple[Notifying, int], typing.Tuple[None, int]]:
""" Unsubscribes to managed item. Returns item only if it became unmanaged. """
if notifying not in self._managed_items:
return None, -1
index = self._managed_items.index(notifying)
self._managed_items.remove(notifying)
callback_id = self._subscriptions[notifying]
del self._subscriptions[notifying]
notifying.remove_changed_fn(callback_id=callback_id)
return notifying, index
def _on_notification(self, notification: ChangeNotification) -> None:
self._notify(
notification=ManagedListNotification(
managed_list=self,
items=[notification]
)
)
def _notify(self, notification: ManagedListNotification):
for callback in self._changed_callbacks.values():
callback(notification)
def add_changed_fn(self, callback: typing.Callable[[ManagedListNotification], typing.NoReturn]) -> uuid.uuid4:
for key, value in self._changed_callbacks.items():
if value == callback:
return key
key = uuid.uuid4()
self._changed_callbacks[key] = callback
return key
def remove_changed_fn(self, callback_id: uuid.uuid4) -> None:
if callback_id in self._changed_callbacks.keys():
del self._changed_callbacks[callback_id]
def append(self, notifying: Notifying) -> None:
if self._manage_item(notifying=notifying) is not None:
self._notify(
ManagedListNotification(
managed_list=self,
items=[ManagedListInsert(notifying=notifying, index=self.index(notifying=notifying))]
)
)
def extend(self, notifying: typing.List[Notifying]) -> None:
added = []
for o in notifying:
o = self._manage_item(notifying=o)
if o:
added.append(o)
if len(added) == 0:
return
self._notify(
ManagedListNotification(
managed_list=self,
items=[ManagedListInsert(notifying=o, index=self.index(notifying=o)) for o in added]
)
)
def remove(self, notifying: Notifying) -> None:
notifying, index = self._unmanage_item(notifying=notifying)
if notifying:
self._notify(
ManagedListNotification(
managed_list=self,
items=[ManagedListRemove(notifying=notifying, index=index)]
)
)
def remove_all(self) -> None:
items = [ManagedListRemove(notifying=o, index=i) for i, o in enumerate(self._managed_items)]
for callback_id, notifying in self._subscriptions.items():
notifying.remove_changed_fn(callback_id=callback_id)
self._subscriptions = dict()
self._managed_items = []
self._notify(
ManagedListNotification(
managed_list=self,
items=items
)
)
def pop(self, index: int = 0) -> Notifying:
notifying, index = self._unmanage_item(self._managed_items[index])
self._notify(
ManagedListNotification(
managed_list=self,
items=[ManagedListRemove(notifying=notifying, index=index)]
)
)
return notifying
def index(self, notifying: Notifying) -> int:
if notifying in self._managed_items:
return self._managed_items.index(notifying)
return -1
class Serializable(Subscribing):
"""Base class providing serialization method template"""
def __init__(self):
super(Serializable, self).__init__()
def serialize(self) -> dict:
""" """
return dict()
def deserialize(self, data: dict) -> None:
""" """
pass
class Base(Serializable):
"""Base class providing id property"""
@classmethod
def Create(cls) -> 'Base':
return cls()
def __init__(self):
super(Base, self).__init__()
self._id: str = str(uuid.uuid4())
def serialize(self) -> dict:
""" """
output = super(Base, self).serialize()
output['_id'] = self._id
return output
def deserialize(self, data: dict) -> None:
""" """
super(Base, self).deserialize(data=data)
self._id = data['_id'] if '_id' in data.keys() else str(uuid.uuid4())
@property
def id(self) -> str:
""" """
return self._id
class DagNode(Base):
"""Base class providing input and outputs of :class:`omni.universalmaterialmap.core.data.Plug` """
def __init__(self):
super(DagNode, self).__init__()
self._inputs: typing.List[Plug] = []
self._outputs: typing.List[Plug] = []
self._computing: bool = False
def serialize(self) -> dict:
""" """
output = super(DagNode, self).serialize()
output['_inputs'] = [plug.serialize() for plug in self.inputs]
output['_outputs'] = [plug.serialize() for plug in self.outputs]
return output
def deserialize(self, data: dict) -> None:
""" """
super(DagNode, self).deserialize(data=data)
old_inputs = self._inputs[:]
old_outputs = self._outputs[:]
while len(self._inputs):
self._unsubscribe(notifying=self._inputs.pop())
while len(self._outputs):
self._unsubscribe(notifying=self._outputs.pop())
plugs = []
if '_inputs' in data.keys():
for o in data['_inputs']:
plug = Plug(parent=self)
plug.deserialize(data=o)
plugs.append(plug)
self._inputs = plugs
plugs = []
if '_outputs' in data.keys():
for o in data['_outputs']:
plug = Plug(parent=self)
plug.deserialize(data=o)
plugs.append(plug)
self._outputs = plugs
for o in self._inputs:
self._subscribe(notifying=o)
for o in self._outputs:
self._subscribe(notifying=o)
if not old_inputs == self._inputs:
self._notify(
ChangeNotification(
item=self,
property_name='inputs',
old_value=old_inputs,
new_value=self._inputs[:]
)
)
if not old_inputs == self._outputs:
self._notify(
ChangeNotification(
item=self,
property_name='outputs',
old_value=old_outputs,
new_value=self._outputs[:]
)
)
def _on_notification(self, notification: ChangeNotification) -> None:
if notification.item == self:
return
# Re-broadcast notification
self._notify(notification=notification)
def invalidate(self, plug: 'Plug'):
pass
def compute(self) -> None:
""" """
if self._computing:
return
self._computing = True
self._compute_inputs(input_plugs=self._inputs)
self._compute_outputs(output_plugs=self._outputs)
self._computing = False
def _compute_inputs(self, input_plugs: typing.List['Plug']):
# Compute dependencies
for plug in input_plugs:
if not plug.input:
continue
if not plug.input.parent:
continue
if not plug.input.is_invalid:
continue
plug.input.parent.compute()
# Set computed_value
for plug in input_plugs:
if plug.input:
plug.computed_value = plug.input.computed_value
else:
plug.computed_value = plug.value
def _compute_outputs(self, output_plugs: typing.List['Plug']):
# Compute dependencies
for plug in output_plugs:
if not plug.input:
continue
if not plug.input.parent:
continue
if not plug.input.is_invalid:
continue
plug.input.parent.compute()
# Set computed_value
for plug in output_plugs:
if plug.input:
plug.computed_value = plug.input.computed_value
else:
plug.computed_value = plug.value
def add_input(self) -> 'Plug':
raise NotImplementedError()
def can_remove_plug(self, plug: 'Plug') -> bool:
return plug.is_removable
def remove_plug(self, plug: 'Plug') -> None:
if not plug.is_removable:
raise Exception('Plug is not removable')
notifications = []
if plug in self._inputs:
old_value = self._inputs[:]
self._unsubscribe(notifying=plug)
self._inputs.remove(plug)
notifications.append(
ChangeNotification(
item=self,
property_name='inputs',
old_value=old_value,
new_value=self._inputs[:]
)
)
if plug in self._outputs:
old_value = self._outputs[:]
self._unsubscribe(notifying=plug)
self._outputs.remove(plug)
notifications.append(
ChangeNotification(
item=self,
property_name='outputs',
old_value=old_value,
new_value=self._outputs[:]
)
)
destination: Plug
for destination in plug.outputs:
destination.input = None
for notification in notifications:
self._notify(notification=notification)
@property
def can_add_input(self) -> bool:
return False
@property
def inputs(self) -> typing.List['Plug']:
""" """
return self._inputs
@property
def outputs(self) -> typing.List['Plug']:
""" """
return self._outputs
class GraphEntity(DagNode):
"""Base class providing omni.kit.widget.graph properties for a data item."""
OPEN = 0
MINIMIZED = 1
CLOSED = 2
def __init__(self):
super(GraphEntity, self).__init__()
self._display_name: str = ''
self._position: typing.Union[typing.Tuple[float, float], None] = None
self._expansion_state: int = GraphEntity.OPEN
self._show_inputs: bool = True
self._show_outputs: bool = True
self._show_peripheral: bool = False
def serialize(self) -> dict:
""" """
output = super(GraphEntity, self).serialize()
output['_display_name'] = self._display_name
output['_position'] = self._position
output['_expansion_state'] = self._expansion_state
output['_show_inputs'] = self._show_inputs
output['_show_outputs'] = self._show_outputs
output['_show_peripheral'] = self._show_peripheral
return output
def deserialize(self, data: dict) -> None:
""" """
super(GraphEntity, self).deserialize(data=data)
self._display_name = data['_display_name'] if '_display_name' in data.keys() else ''
self._position = data['_position'] if '_position' in data.keys() else None
self._expansion_state = data['_expansion_state'] if '_expansion_state' in data.keys() else GraphEntity.OPEN
self._show_inputs = data['_show_inputs'] if '_show_inputs' in data.keys() else True
self._show_outputs = data['_show_outputs'] if '_show_outputs' in data.keys() else True
self._show_peripheral = data['_show_peripheral'] if '_show_peripheral' in data.keys() else False
@property
def display_name(self) -> str:
""" """
return self._display_name
@display_name.setter
def display_name(self, value: str) -> None:
""" """
if self._display_name is value:
return
notification = ChangeNotification(
item=self,
property_name='display_name',
old_value=self._display_name,
new_value=value
)
self._display_name = value
self._notify(notification=notification)
@property
def position(self) -> typing.Union[typing.Tuple[float, float], None]:
""" """
return self._position
@position.setter
def position(self, value: typing.Union[typing.Tuple[float, float], None]) -> None:
""" """
if self._position is value:
return
notification = ChangeNotification(
item=self,
property_name='position',
old_value=self._position,
new_value=value
)
self._position = value
self._notify(notification=notification)
@property
def expansion_state(self) -> int:
""" """
return self._expansion_state
@expansion_state.setter
def expansion_state(self, value: int) -> None:
""" """
if self._expansion_state is value:
return
notification = ChangeNotification(
item=self,
property_name='expansion_state',
old_value=self._expansion_state,
new_value=value
)
self._expansion_state = value
self._notify(notification=notification)
@property
def show_inputs(self) -> bool:
""" """
return self._show_inputs
@show_inputs.setter
def show_inputs(self, value: bool) -> None:
""" """
if self._show_inputs is value:
return
notification = ChangeNotification(
item=self,
property_name='show_inputs',
old_value=self._show_inputs,
new_value=value
)
self._show_inputs = value
self._notify(notification=notification)
@property
def show_outputs(self) -> bool:
""" """
return self._show_outputs
@show_outputs.setter
def show_outputs(self, value: bool) -> None:
""" """
if self._show_outputs is value:
return
notification = ChangeNotification(
item=self,
property_name='show_outputs',
old_value=self._show_outputs,
new_value=value
)
self._show_outputs = value
self._notify(notification=notification)
@property
def show_peripheral(self) -> bool:
""" """
return self._show_peripheral
@show_peripheral.setter
def show_peripheral(self, value: bool) -> None:
""" """
if self._show_peripheral is value:
return
notification = ChangeNotification(
item=self,
property_name='show_peripheral',
old_value=self._show_peripheral,
new_value=value
)
self._show_peripheral = value
self._notify(notification=notification)
class Connection(Serializable):
def __init__(self):
super(Connection, self).__init__()
self._source_id = ''
self._destination_id = ''
def serialize(self) -> dict:
output = super(Connection, self).serialize()
output['_source_id'] = self._source_id
output['_destination_id'] = self._destination_id
return output
def deserialize(self, data: dict) -> None:
super(Connection, self).deserialize(data=data)
self._source_id = data['_source_id'] if '_source_id' in data.keys() else ''
self._destination_id = data['_destination_id'] if '_destination_id' in data.keys() else ''
@property
def source_id(self):
return self._source_id
@property
def destination_id(self):
return self._destination_id
class Plug(Base):
"""
A Plug can be:
a source
an output
both a source and an output
a container for a static value - most likely as an output
a container for an editable value - most likely as an output
plug.default_value Starting point and for resetting.
plug.value Apply as computed_value if there is no input or dependency providing a value.
plug.computed_value Final value. Could be thought of as plug.output_value.
Plug is_dirty on
input connect
input disconnect
value change if not connected
A Plug is_dirty if
it is_dirty
its input is_dirty
any dependency is_dirty
"""
VALUE_TYPE_ANY = 'any'
VALUE_TYPE_FLOAT = 'float'
VALUE_TYPE_INTEGER = 'int'
VALUE_TYPE_STRING = 'str'
VALUE_TYPE_BOOLEAN = 'bool'
VALUE_TYPE_NODE_ID = 'node_id'
VALUE_TYPE_VECTOR2 = 'vector2'
VALUE_TYPE_VECTOR3 = 'vector3'
VALUE_TYPE_VECTOR4 = 'vector4'
VALUE_TYPE_ENUM = 'enum'
VALUE_TYPE_LIST = 'list'
VALUE_TYPES = [
VALUE_TYPE_ANY,
VALUE_TYPE_FLOAT,
VALUE_TYPE_INTEGER,
VALUE_TYPE_STRING,
VALUE_TYPE_BOOLEAN,
VALUE_TYPE_NODE_ID,
VALUE_TYPE_VECTOR2,
VALUE_TYPE_VECTOR3,
VALUE_TYPE_VECTOR4,
VALUE_TYPE_ENUM,
VALUE_TYPE_LIST,
]
@classmethod
def Create(
cls,
parent: DagNode,
name: str,
display_name: str,
value_type: str = 'any',
editable: bool = False,
is_removable: bool = False,
) -> 'Plug':
instance = cls(parent=parent)
instance._name = name
instance._display_name = display_name
instance._value_type = value_type
instance._is_editable = editable
instance._is_removable = is_removable
return instance
def __init__(self, parent: DagNode):
super(Plug, self).__init__()
self._parent: DagNode = parent
self._name: str = ''
self._display_name: str = ''
self._value_type: str = Plug.VALUE_TYPE_ANY
self._internal_value_type: str = Plug.VALUE_TYPE_ANY
self._is_peripheral: bool = False
self._is_editable: bool = False
self._is_removable: bool = False
self._default_value: typing.Any = None
self._computed_value: typing.Any = None
self._value: typing.Any = None
self._is_invalid: bool = False
self._input: typing.Union[Plug, typing.NoReturn] = None
self._outputs: typing.List[Plug] = []
self._enum_values: typing.List = []
def serialize(self) -> dict:
output = super(Plug, self).serialize()
output['_name'] = self._name
output['_display_name'] = self._display_name
output['_value_type'] = self._value_type
output['_internal_value_type'] = self._internal_value_type
output['_is_peripheral'] = self._is_peripheral
output['_is_editable'] = self._is_editable
output['_is_removable'] = self._is_removable
output['_default_value'] = self._default_value
output['_value'] = self._value
output['_enum_values'] = self._enum_values
return output
def deserialize(self, data: dict) -> None:
super(Plug, self).deserialize(data=data)
self._input = None
self._name = data['_name'] if '_name' in data.keys() else ''
self._display_name = data['_display_name'] if '_display_name' in data.keys() else ''
self._value_type = data['_value_type'] if '_value_type' in data.keys() else Plug.VALUE_TYPE_ANY
self._internal_value_type = data['_internal_value_type'] if '_internal_value_type' in data.keys() else None
self._is_peripheral = data['_is_peripheral'] if '_is_peripheral' in data.keys() else False
self._is_editable = data['_is_editable'] if '_is_editable' in data.keys() else False
self._is_removable = data['_is_removable'] if '_is_removable' in data.keys() else False
self._default_value = data['_default_value'] if '_default_value' in data.keys() else None
self._value = data['_value'] if '_value' in data.keys() else self._default_value
self._enum_values = data['_enum_values'] if '_enum_values' in data.keys() else []
def invalidate(self) -> None:
if self._is_invalid:
return
self._is_invalid = True
if self.parent:
self.parent.invalidate(self)
@property
def parent(self) -> DagNode:
return self._parent
@property
def name(self) -> str:
return self._name
@name.setter
def name(self, value: str) -> None:
if self._name is value:
return
notification = ChangeNotification(
item=self,
property_name='name',
old_value=self._name,
new_value=value
)
self._name = value
self._notify(notification=notification)
@property
def display_name(self) -> str:
return self._display_name
@display_name.setter
def display_name(self, value: str) -> None:
if self._display_name is value:
return
notification = ChangeNotification(
item=self,
property_name='display_name',
old_value=self._display_name,
new_value=value
)
self._display_name = value
self._notify(notification=notification)
@property
def value_type(self) -> str:
return self._value_type
@value_type.setter
def value_type(self, value: str) -> None:
if self._value_type is value:
return
notification = ChangeNotification(
item=self,
property_name='value_type',
old_value=self._value_type,
new_value=value
)
self._value_type = value
self._notify(notification=notification)
@property
def internal_value_type(self) -> str:
return self._internal_value_type
@internal_value_type.setter
def internal_value_type(self, value: str) -> None:
if self._internal_value_type is value:
return
notification = ChangeNotification(
item=self,
property_name='internal_value_type',
old_value=self._internal_value_type,
new_value=value
)
self._internal_value_type = value
self._notify(notification=notification)
@property
def is_removable(self) -> bool:
return self._is_removable
@property
def is_peripheral(self) -> bool:
return self._is_peripheral
@is_peripheral.setter
def is_peripheral(self, value: bool) -> None:
if self._is_peripheral is value:
return
notification = ChangeNotification(
item=self,
property_name='is_peripheral',
old_value=self._is_peripheral,
new_value=value
)
self._is_peripheral = value
self._notify(notification=notification)
@property
def computed_value(self) -> typing.Any:
return self._computed_value
@computed_value.setter
def computed_value(self, value: typing.Any) -> None:
if self._computed_value is value:
self._is_invalid = False
self._value = self._computed_value
return
notification = ChangeNotification(
item=self,
property_name='computed_value',
old_value=self._computed_value,
new_value=value
)
if self._input and self._input.is_invalid:
print('WARNING: Universal Material Map: Compute encountered an unexpected state: input invalid after compute. Results may be incorrect.')
print('\tplug: "{0}"'.format(self.name))
if self._parent:
print('\tplug.parent: "{0}"'.format(self._parent.__class__.__name__))
print('\tplug.input: "{0}"'.format(self._input.name))
if self._input.parent:
print('\tplug.input.parent: "{0}"'.format(self._input.parent.__class__.__name__))
return
self._is_invalid = False
self._computed_value = value
self._value = self._computed_value
self._notify(notification=notification)
@property
def value(self) -> typing.Any:
return self._value
@value.setter
def value(self, value: typing.Any) -> None:
if self._value is value:
return
notification = ChangeNotification(
item=self,
property_name='value',
old_value=self._value,
new_value=value
)
self._value = value
self._notify(notification=notification)
if self._input is None:
self.invalidate()
@property
def is_invalid(self) -> typing.Any:
if self._input and self._input._is_invalid:
return True
return self._is_invalid
@property
def input(self) -> typing.Union['Plug', typing.NoReturn]:
return self._input
@input.setter
def input(self, value: typing.Union['Plug', typing.NoReturn]) -> None:
if self._input is value:
return
notification = ChangeNotification(
item=self,
property_name='input',
old_value=self._input,
new_value=value
)
self._input = value
self._notify(notification=notification)
self.invalidate()
@property
def outputs(self) -> typing.List['Plug']:
return self._outputs
@property
def is_editable(self) -> bool:
return self._is_editable
@is_editable.setter
def is_editable(self, value: bool) -> None:
if self._is_editable is value:
return
notification = ChangeNotification(
item=self,
property_name='is_editable',
old_value=self._is_editable,
new_value=value
)
self._is_editable = value
self._notify(notification=notification)
@property
def default_value(self) -> typing.Any:
return self._default_value
@default_value.setter
def default_value(self, value: typing.Any) -> None:
if self._default_value is value:
return
notification = ChangeNotification(
item=self,
property_name='default_value',
old_value=self._default_value,
new_value=value
)
self._default_value = value
self._notify(notification=notification)
@property
def enum_values(self) -> typing.List:
return self._enum_values
@enum_values.setter
def enum_values(self, value: typing.List) -> None:
if self._enum_values is value:
return
notification = ChangeNotification(
item=self,
property_name='enum_values',
old_value=self._enum_values,
new_value=value
)
self._enum_values = value
self._notify(notification=notification)
class Node(DagNode):
@classmethod
def Create(cls, class_name: str) -> 'Node':
instance = typing.cast(Node, super(Node, cls).Create())
instance._class_name = class_name
return instance
def __init__(self):
super(Node, self).__init__()
self._class_name: str = ''
def serialize(self) -> dict:
output = super(Node, self).serialize()
output['_class_name'] = self._class_name
return output
def deserialize(self, data: dict) -> None:
super(Node, self).deserialize(data=data)
self._class_name = data['_class_name'] if '_class_name' in data.keys() else ''
@property
def class_name(self):
return self._class_name
class Client(Serializable):
ANY_VERSION = 'any'
NO_VERSION = 'none'
DCC_OMNIVERSE_CREATE = 'Omniverse Create'
DCC_3DS_MAX = '3ds MAX'
DCC_MAYA = 'Maya'
DCC_HOUDINI = 'Houdini'
DCC_SUBSTANCE_DESIGNER = 'Substance Designer'
DCC_SUBSTANCE_PAINTER = 'Substance Painter'
DCC_BLENDER = 'Blender'
@classmethod
def Autodesk_3dsMax(cls, version: str = ANY_VERSION) -> 'Client':
instance = Client()
instance._name = Client.DCC_3DS_MAX
instance._version = version
return instance
@classmethod
def Autodesk_Maya(cls, version: str = ANY_VERSION) -> 'Client':
instance = Client()
instance._name = Client.DCC_MAYA
instance._version = version
return instance
@classmethod
def OmniverseCreate(cls, version: str = ANY_VERSION) -> 'Client':
instance = Client()
instance._name = Client.DCC_OMNIVERSE_CREATE
instance._version = version
return instance
@classmethod
def Blender(cls, version: str = ANY_VERSION) -> 'Client':
instance = Client()
instance._name = Client.DCC_BLENDER
instance._version = version
return instance
def __init__(self):
super(Client, self).__init__()
self._name: str = ''
self._version: str = ''
def __eq__(self, other: 'Client') -> bool:
if not isinstance(other, Client):
return False
return other.name == self._name and other.version == self._version
def is_compatible(self, other: 'Client') -> bool:
if not isinstance(other, Client):
return False
if other == self:
return True
return other._version == Client.ANY_VERSION or self._version == Client.ANY_VERSION
def serialize(self) -> dict:
output = super(Client, self).serialize()
output['_name'] = self._name
output['_version'] = self._version
return output
def deserialize(self, data: dict) -> None:
super(Client, self).deserialize(data=data)
self._name = data['_name'] if '_name' in data.keys() else ''
self._version = data['_version'] if '_version' in data.keys() else ''
@property
def name(self) -> str:
return self._name
@name.setter
def name(self, value: str) -> None:
self._name = value
@property
def version(self) -> str:
return self._version
@version.setter
def version(self, value: str) -> None:
self._version = value
class AssemblyMetadata(Serializable):
CATEGORY_BASE = 'Base Materials'
CATEGORY_CONNECTOR = 'Connector Materials'
CATEGORIES = [
CATEGORY_BASE,
CATEGORY_CONNECTOR,
]
def __init__(self):
super(AssemblyMetadata, self).__init__()
self._category = ''
self._name = ''
self._keywords: typing.List[str] = []
self._supported_clients: typing.List[Client] = []
def serialize(self) -> dict:
output = super(AssemblyMetadata, self).serialize()
output['_category'] = self._category
output['_name'] = self._name
output['_keywords'] = self._keywords
output['_supported_clients'] = [o.serialize() for o in self._supported_clients]
return output
def deserialize(self, data: dict) -> None:
super(AssemblyMetadata, self).deserialize(data=data)
self._category = data['_category'] if '_category' in data.keys() else ''
self._name = data['_name'] if '_name' in data.keys() else ''
self._keywords = data['_keywords'] if '_keywords' in data.keys() else ''
items = []
if '_supported_clients' in data.keys():
for o in data['_supported_clients']:
item = Client()
item.deserialize(data=o)
items.append(item)
self._supported_clients = items
@property
def category(self) -> str:
return self._category
@category.setter
def category(self, value: str) -> None:
self._category = value
@property
def name(self) -> str:
return self._name
@name.setter
def name(self, value: str) -> None:
self._name = value
@property
def keywords(self) -> typing.List[str]:
return self._keywords
@keywords.setter
def keywords(self, value: typing.List[str]) -> None:
self._keywords = value
@property
def supported_clients(self) -> typing.List[Client]:
return self._supported_clients
class Target(GraphEntity):
def __init__(self):
super(Target, self).__init__()
self._nodes: typing.List[Node] = []
self._metadata: AssemblyMetadata = AssemblyMetadata()
self._root_node_id: str = ''
self._root_node: Node = None
self._revision: int = 0
self._store_id: str = ''
self._connections: typing.List[Connection] = []
def serialize(self) -> dict:
output = super(Target, self).serialize()
output['_nodes'] = [node.serialize() for node in self.nodes]
output['_metadata'] = self._metadata.serialize()
output['_root_node_id'] = self._root_node_id
output['_revision'] = self._revision
output['_connections'] = [o.serialize() for o in self._connections]
return output
def deserialize(self, data: dict) -> None:
super(Target, self).deserialize(data=data)
self._root_node_id = data['_root_node_id'] if '_root_node_id' in data.keys() else ''
nodes = []
if '_nodes' in data.keys():
for o in data['_nodes']:
node = Node()
node.deserialize(data=o)
nodes.append(node)
self._nodes = nodes
root_node = None
if self._root_node_id:
for node in self._nodes:
if node.id == self._root_node_id:
root_node = node
break
self._root_node = root_node
metadata = AssemblyMetadata()
if '_metadata' in data.keys():
metadata.deserialize(data=data['_metadata'])
self._metadata = metadata
self._revision = data['_revision'] if '_revision' in data.keys() else 0
items = []
if '_connections' in data.keys():
for o in data['_connections']:
item = Connection()
item.deserialize(data=o)
items.append(item)
self._connections = items
for connection in self._connections:
input_plug: Plug = None
output_plug: Plug = None
for node in self._nodes:
for plug in node.inputs:
if connection.source_id == plug.id:
input_plug = plug
elif connection.destination_id == plug.id:
input_plug = plug
for plug in node.outputs:
if connection.source_id == plug.id:
output_plug = plug
elif connection.destination_id == plug.id:
output_plug = plug
if input_plug is not None and output_plug is not None:
break
if input_plug is None or output_plug is None:
continue
if output_plug not in input_plug.outputs:
input_plug.outputs.append(output_plug)
output_plug.input = input_plug
def connect(self, source: Plug, destination: Plug) -> None:
for connection in self._connections:
if connection.source_id == source.id and connection.destination_id == destination.id:
return
connection = Connection()
connection._source_id = source.id
connection._destination_id = destination.id
self._connections.append(connection)
if destination not in source.outputs:
source.outputs.append(destination)
destination.input = source
@property
def nodes(self) -> typing.List[Node]:
return self._nodes
@property
def metadata(self) -> AssemblyMetadata:
return self._metadata
@property
def root_node(self) -> Node:
return self._root_node
@root_node.setter
def root_node(self, value: Node) -> None:
self._root_node = value
self._root_node_id = self._root_node.id if self._root_node else ''
@property
def revision(self) -> int:
return self._revision
@revision.setter
def revision(self, value: int) -> None:
self._revision = value
@property
def store_id(self) -> str:
return self._store_id
@store_id.setter
def store_id(self, value: int) -> None:
if self._store_id is value:
return
notification = ChangeNotification(
item=self,
property_name='store_id',
old_value=self._store_id,
new_value=value
)
self._store_id = value
self._notify(notification=notification)
class TargetInstance(GraphEntity):
@classmethod
def FromAssembly(cls, assembly: Target) -> 'TargetInstance':
instance = cls()
instance._target_id = assembly.id
instance.target = assembly
instance.display_name = assembly.display_name
return instance
def __init__(self):
super(TargetInstance, self).__init__()
self._target_id: str = ''
self._target: typing.Union[Target, typing.NoReturn] = None
self._is_setting_target = False
def serialize(self) -> dict:
super(TargetInstance, self).serialize()
output = GraphEntity.serialize(self)
output['_target_id'] = self._target_id
output['_inputs'] = []
output['_outputs'] = []
return output
def deserialize(self, data: dict) -> None:
"""
Does not invoke super on DagNode base class because inputs and outputs are derived from assembly instance.
"""
data['_inputs'] = []
data['_outputs'] = []
GraphEntity.deserialize(self, data=data)
self._target_id = data['_target_id'] if '_target_id' in data.keys() else ''
def invalidate(self, plug: 'Plug' = None):
"""
Invalidate any plug that is a destination of an output plug named plug.name.
"""
# If a destination is invalidated it is assumed compute will be invoked once a destination endpoint has been found
do_compute = True
output: Plug
destination: Plug
for output in self.outputs:
if not plug or output.name == plug.name:
for destination in output.outputs:
destination.invalidate()
do_compute = False
if do_compute:
self.compute()
@property
def target_id(self) -> str:
return self._target_id
@property
def target(self) -> typing.Union[Target, typing.NoReturn]:
return self._target
@target.setter
def target(self, value: typing.Union[Target, typing.NoReturn]) -> None:
if self._target is value:
return
if not self._target_id and value:
raise Exception('Target ID "" does not match assembly instance "{0}".'.format(value.id))
if self._target_id and not value:
raise Exception('Target ID "{0}" does not match assembly instance "None".'.format(self._target_id))
if self._target_id and value and not self._target_id == value.id:
raise Exception('Target ID "{0}" does not match assembly instance "{1}".'.format(self._target_id, value.id))
self._is_setting_target = True
notification = ChangeNotification(
item=self,
property_name='target',
old_value=self._target,
new_value=value
)
self._target = value
self._inputs = []
self._outputs = []
if self._target:
node_id_plug = Plug.Create(
parent=self,
name='node_id_output',
display_name='Node Id',
value_type=Plug.VALUE_TYPE_STRING
)
node_id_plug._id = self._target.id
node_id_plug.value = self._target.id
self._outputs.append(node_id_plug)
for node in self._target.nodes:
for o in node.inputs:
plug = Plug(parent=self)
plug.deserialize(data=o.serialize())
self._inputs.append(plug)
for o in node.outputs:
plug = Plug(parent=self)
plug.deserialize(data=o.serialize())
self._outputs.append(plug)
self._is_setting_target = False
self._notify(notification=notification)
self.invalidate()
class Operator(Base):
def __init__(
self,
id: str,
name: str,
required_inputs: int,
min_inputs: int,
max_inputs: int,
num_outputs: int,
):
super(Operator, self).__init__()
self._id = id
self._name: str = name
self._required_inputs: int = required_inputs
self._min_inputs: int = min_inputs
self._max_inputs: int = max_inputs
self._num_outputs: int = num_outputs
self._computing: bool = False
def compute(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
"""
Base class only computes input_plugs. It is assumed that extending class computes output plugs.
"""
if self._computing:
return
self._computing = True
if len(input_plugs) < self._required_inputs:
raise Exception('Array of inputs not of required length "{0}". Actual length "{1}". Operator: "{2}"'.format(self._required_inputs, len(input_plugs), self.__class__.__name__))
for plug in input_plugs:
if plug.input:
if plug.input in input_plugs:
print('WARNING: Universal Material Map: Invalid state in compute graph. Compute cancelled.')
print('\tInput {0}.{1} is dependent on another input on the same node.'.format(plug.parent.display_name, plug.name))
print('\tDependency: {0}.{1}'.format(plug.input.parent.display_name, plug.input.name))
print('\tThis is not supported.')
print('\tComputations likely to not behave as expected. It is recommended you restart the solution using this data.')
self._computing = False
return
if plug.input in output_plugs:
print('WARNING: Universal Material Map: Invalid state in compute graph. Compute cancelled.')
print('\tInput {0}.{1} is dependent on another output on the same node.'.format(
plug.parent.display_name, plug.name))
print('\tDependency: {0}.{1}'.format(plug.input.parent.display_name, plug.input.name))
print('\tThis is not supported.')
print('\tComputations likely to not behave as expected. It is recommended you restart the solution using this data.')
self._computing = False
return
for plug in output_plugs:
if plug.input:
if plug.input in output_plugs:
print('WARNING: Universal Material Map: Invalid state in compute graph. Compute cancelled.')
print('\tInput {0}.{1} is dependent on another output on the same node.'.format(
plug.parent.display_name, plug.name))
print('\tDependency: {0}.{1}'.format(plug.input.parent.display_name, plug.input.name))
print('\tThis is not supported.')
print('\tComputations likely to not behave as expected. It is recommended you restart the solution using this data.')
self._computing = False
return
self._compute_inputs(input_plugs=input_plugs)
self._compute_outputs(input_plugs=input_plugs, output_plugs=output_plugs)
self._computing = False
def _compute_inputs(self, input_plugs: typing.List[Plug]):
# Compute dependencies
for plug in input_plugs:
if not plug.input:
continue
if not plug.input.parent:
continue
if not plug.input.is_invalid:
continue
plug.input.parent.compute()
# Set computed_value
for plug in input_plugs:
if plug.input:
plug.computed_value = plug.input.computed_value
else:
plug.computed_value = plug.value
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
raise NotImplementedError(self.__class__)
def generate_input(self, parent: 'DagNode', index: int) -> Plug:
"""
Base class provides method template but does nothing.
"""
pass
def generate_output(self, parent: 'DagNode', index: int) -> Plug:
"""
Base class provides method template but does nothing.
"""
pass
def test(self) -> None:
parent = OperatorInstance()
inputs = []
while len(inputs) < self.min_inputs:
inputs.append(
self.generate_input(parent=parent, index=len(inputs))
)
outputs = []
while len(outputs) < self.num_outputs:
outputs.append(
self.generate_output(parent=parent, index=len(outputs))
)
self._prepare_plugs_for_test(input_plugs=inputs, output_plugs=outputs)
self._perform_test(input_plugs=inputs, output_plugs=outputs)
self._assert_test(input_plugs=inputs, output_plugs=outputs)
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
def _perform_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
self.compute(input_plugs=input_plugs, output_plugs=output_plugs)
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
raise NotImplementedError()
def remove_plug(self, operator_instance: 'OperatorInstance', plug: 'Plug') -> None:
if not plug.is_removable:
raise Exception('Plug is not removable')
notifications = []
if plug in operator_instance._inputs:
old_value = operator_instance._inputs[:]
operator_instance._inputs.remove(plug)
operator_instance._unsubscribe(notifying=plug)
notifications.append(
ChangeNotification(
item=operator_instance,
property_name='inputs',
old_value=old_value,
new_value=operator_instance._inputs[:]
)
)
if plug in operator_instance._outputs:
old_value = operator_instance._outputs[:]
operator_instance._outputs.remove(plug)
operator_instance._unsubscribe(notifying=plug)
notifications.append(
ChangeNotification(
item=operator_instance,
property_name='outputs',
old_value=old_value,
new_value=operator_instance._outputs[:]
)
)
destination: Plug
for destination in plug.outputs:
destination.input = None
for notification in notifications:
for callback in operator_instance._changed_callbacks.values():
callback(notification)
@property
def name(self) -> str:
return self._name
@property
def min_inputs(self) -> int:
return self._min_inputs
@property
def max_inputs(self) -> int:
return self._max_inputs
@property
def required_inputs(self) -> int:
return self._required_inputs
@property
def num_outputs(self) -> int:
return self._num_outputs
class GraphOutput(Operator):
"""
Output resolves to a node id.
"""
def __init__(self):
super(GraphOutput, self).__init__(
id='5f39ab48-5bee-46fe-9a22-0f678013568e',
name='Graph Output',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=1
)
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input_node_id', display_name='Node Id', value_type=Plug.VALUE_TYPE_NODE_ID)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output_node_id', display_name='Node Id', value_type=Plug.VALUE_TYPE_NODE_ID)
raise Exception('Output index "{0}" not supported.'.format(index))
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = input_plugs[0].computed_value
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
input_plugs[0].computed_value = self.id
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == self.id:
raise Exception('Test failed.')
class OperatorInstance(GraphEntity):
@classmethod
def FromOperator(cls, operator: Operator) -> 'OperatorInstance':
instance = OperatorInstance()
instance._is_deserializing = True
instance._operator = operator
instance._display_name = operator.name
while len(instance._inputs) < operator.min_inputs:
instance._inputs.append(
operator.generate_input(parent=instance, index=len(instance._inputs))
)
while len(instance._outputs) < operator.num_outputs:
instance._outputs.append(
operator.generate_output(parent=instance, index=len(instance._outputs))
)
instance._operator_module = operator.__class__.__module__
instance._operator_class_name = operator.__class__.__name__
instance._is_deserializing = False
instance.invalidate()
return instance
def __init__(self):
super(OperatorInstance, self).__init__()
self._description: str = ''
self._operator_module: str = ''
self._operator_class_name: str = ''
self._operator: Operator = None
self._is_deserializing = False
def serialize(self) -> dict:
output = super(OperatorInstance, self).serialize()
output['_description'] = self._description
output['_operator_module'] = self._operator_module
output['_operator_class_name'] = self._operator_class_name
return output
def deserialize(self, data: dict) -> None:
self._is_deserializing = True
super(OperatorInstance, self).deserialize(data=data)
self._description = data['_description'] if '_description' in data.keys() else ''
self._operator_module = data['_operator_module'] if '_operator_module' in data.keys() else ''
self._operator_class_name = data['_operator_class_name'] if '_operator_class_name' in data.keys() else ''
if not self._operator_module:
raise Exception('Unexpected data: no valid "operator module" defined')
if not self._operator_class_name:
raise Exception('Unexpected data: no valid "operator class name" defined')
if self._operator_module not in sys.modules.keys():
importlib.import_module(self._operator_module)
module_pointer = sys.modules[self._operator_module]
class_pointer = module_pointer.__dict__[self._operator_class_name]
self._operator = typing.cast(Operator, class_pointer())
notifying = []
while len(self._inputs) < self._operator.min_inputs:
plug = self._operator.generate_input(parent=self, index=len(self._inputs))
self._inputs.append(plug)
notifying.append(plug)
while len(self._outputs) < self._operator.num_outputs:
plug = self._operator.generate_output(parent=self, index=len(self._outputs))
self._outputs.append(plug)
notifying.append(plug)
self._is_deserializing = False
for o in notifying:
self._subscribe(notifying=o)
self.invalidate()
def invalidate(self, plug: 'Plug' = None):
"""
Because one plug changed we assume any connected plug to any output needs to be invalidated.
"""
if self._is_deserializing:
return
# Set all outputs to invalid
output: Plug
for output in self.outputs:
output._is_invalid = True
# If a destination is invalidated it is assumed compute will be invoked once a destination endpoint has been found
do_compute = True
destination: Plug
for output in self.outputs:
for destination in output.outputs:
destination.invalidate()
do_compute = False
if do_compute:
self.compute()
def compute(self) -> None:
if self._operator:
self._operator.compute(input_plugs=self._inputs, output_plugs=self._outputs)
def add_input(self) -> Plug:
if not self.can_add_input:
raise Exception('Cannot add another input.')
old_value = self._inputs[:]
plug = self._operator.generate_input(parent=self, index=len(self._inputs))
self._inputs.append(plug)
self._subscribe(notifying=plug)
notification = ChangeNotification(
item=self,
property_name='inputs',
old_value=old_value,
new_value=self._inputs[:]
)
self._notify(notification=notification)
for o in self.outputs:
o.invalidate()
return plug
def remove_plug(self, plug: 'Plug') -> None:
self._operator.remove_plug(operator_instance=self, plug=plug)
@property
def operator(self) -> Operator:
return self._operator
@property
def description(self) -> str:
return self._description
@description.setter
def description(self, value: str) -> None:
if self._description is value:
return
notification = ChangeNotification(
item=self,
property_name='description',
old_value=self._description,
new_value=value
)
self._description = value
self._notify(notification=notification)
@DagNode.can_add_input.getter
def can_add_input(self) -> bool:
if self._operator.max_inputs == -1:
return True
return len(self._inputs) < self._operator.max_inputs - 1
class StyleInfo(object):
def __init__(
self,
name: str,
background_color: int,
border_color: int,
connection_color: int,
node_background_color: int,
footer_icon_filename: str,
):
super(StyleInfo, self).__init__()
self._name: str = name
self._background_color: int = background_color
self._border_color: int = border_color
self._connection_color: int = connection_color
self._node_background_color: int = node_background_color
self._footer_icon_filename: str = footer_icon_filename
@property
def name(self) -> str:
return self._name
@property
def background_color(self) -> int:
return self._background_color
@property
def border_color(self) -> int:
return self._border_color
@property
def connection_color(self) -> int:
return self._connection_color
@property
def node_background_color(self) -> int:
return self._node_background_color
@property
def footer_icon_filename(self) -> str:
return self._footer_icon_filename
class ConversionGraph(Base):
# STYLE_OUTPUT: StyleInfo = StyleInfo(
# name='output',
# background_color=0xFF2E2E2E,
# border_color=0xFFB97E9C,
# connection_color=0xFF80C26F,
# node_background_color=0xFF444444,
# footer_icon_filename='Material.svg'
# )
STYLE_SOURCE_NODE: StyleInfo = StyleInfo(
name='source_node',
background_color=0xFF2E2E2E,
border_color=0xFFE5AAC8,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='Material.svg'
)
STYLE_ASSEMBLY_REFERENCE: StyleInfo = StyleInfo(
name='assembly_reference',
background_color=0xFF2E2E2E,
border_color=0xFFB97E9C,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='Material.svg'
)
STYLE_OPERATOR_INSTANCE: StyleInfo = StyleInfo(
name='operator_instance',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='constant_color.svg'
)
STYLE_VALUE_RESOLVER: StyleInfo = StyleInfo(
name='value_resolver',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='value_resolver.svg'
)
STYLE_BOOLEAN_SWITCH: StyleInfo = StyleInfo(
name='boolean_switch',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='boolean_switch.svg'
)
STYLE_CONSTANT_BOOLEAN: StyleInfo = StyleInfo(
name='constant_boolean',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='constant_boolean.svg'
)
STYLE_CONSTANT_COLOR: StyleInfo = StyleInfo(
name='constant_color',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='constant_color.svg'
)
STYLE_CONSTANT_FLOAT: StyleInfo = StyleInfo(
name='constant_float',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='constant_float.svg'
)
STYLE_CONSTANT_INTEGER: StyleInfo = StyleInfo(
name='constant_integer',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='constant_integer.svg'
)
STYLE_CONSTANT_STRING: StyleInfo = StyleInfo(
name='constant_string',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='constant_string.svg'
)
STYLE_EQUAL: StyleInfo = StyleInfo(
name='equal',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='equal.svg'
)
STYLE_GREATER_THAN: StyleInfo = StyleInfo(
name='greater_than',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='greater_than.svg'
)
STYLE_LESS_THAN: StyleInfo = StyleInfo(
name='less_than',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='less_than.svg'
)
STYLE_MERGE_RGB: StyleInfo = StyleInfo(
name='merge_rgb',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='merge_rgb.svg'
)
STYLE_NOT: StyleInfo = StyleInfo(
name='not',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='not.svg'
)
STYLE_OR: StyleInfo = StyleInfo(
name='or',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='or.svg'
)
STYLE_SPLIT_RGB: StyleInfo = StyleInfo(
name='split_rgb',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='split_rgb.svg'
)
STYLE_TRANSPARENCY_RESOLVER: StyleInfo = StyleInfo(
name='transparency_resolver',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='transparency_resolver.svg'
)
STYLE_OUTPUT: StyleInfo = StyleInfo(
name='output',
background_color=0xFF34302A,
border_color=0xFFCD923A,
connection_color=0xFF80C26F,
node_background_color=0xFF444444,
footer_icon_filename='output.svg'
)
STYLE_INFOS = (
STYLE_OUTPUT,
STYLE_SOURCE_NODE,
STYLE_ASSEMBLY_REFERENCE,
STYLE_OPERATOR_INSTANCE,
STYLE_VALUE_RESOLVER,
STYLE_BOOLEAN_SWITCH,
STYLE_CONSTANT_BOOLEAN,
STYLE_CONSTANT_COLOR,
STYLE_CONSTANT_FLOAT,
STYLE_CONSTANT_INTEGER,
STYLE_CONSTANT_STRING,
STYLE_EQUAL,
STYLE_GREATER_THAN,
STYLE_LESS_THAN,
STYLE_NOT,
STYLE_OR,
STYLE_SPLIT_RGB,
STYLE_TRANSPARENCY_RESOLVER,
STYLE_MERGE_RGB,
)
def __init__(self):
super(ConversionGraph, self).__init__()
self._graph_output: OperatorInstance = OperatorInstance.FromOperator(operator=GraphOutput())
self._target_instances: typing.List[TargetInstance] = []
self._operator_instances: typing.List[OperatorInstance] = [self._graph_output]
self._connections: typing.List[Connection] = []
self._library: Library = None
self._source_node_id: str = ''
self._source_node: TargetInstance = None
self._filename: str = ''
self._exists_on_disk: bool = False
self._revision: int = 0
def _on_notification(self, notification: ChangeNotification) -> None:
if notification.item == self:
return
# Re-broadcast notification
self._notify(notification=notification)
def serialize(self) -> dict:
output = super(ConversionGraph, self).serialize()
output['_target_instances'] = [o.serialize() for o in self._target_instances]
output['_operator_instances'] = [o.serialize() for o in self._operator_instances]
output['_connections'] = [o.serialize() for o in self._connections]
output['_source_node_id'] = self._source_node_id
output['_revision'] = self._revision
return output
def deserialize(self, data: dict) -> None:
super(ConversionGraph, self).deserialize(data=data)
notifications = []
# _source_node_id
old = self._source_node_id
new = data['_source_node_id'] if '_source_node_id' in data.keys() else ''
if not old == new:
self._source_node_id = new
notifications.append(
ChangeNotification(
item=self,
property_name='source_node_id',
old_value=old,
new_value=new
)
)
# _revision
old = self._revision
new = data['_revision'] if '_revision' in data.keys() else 0
if not old == new:
self._revision = new
notifications.append(
ChangeNotification(
item=self,
property_name='revision',
old_value=old,
new_value=new
)
)
# _target_instances
old = self._target_instances[:]
while len(self._target_instances):
self._unsubscribe(notifying=self._target_instances.pop())
items = []
if '_target_instances' in data.keys():
for o in data['_target_instances']:
item = TargetInstance()
item.deserialize(data=o)
items.append(item)
self._target_instances = items
if not self._target_instances == old:
notifications.append(
ChangeNotification(
item=self,
property_name='target_instances',
old_value=old,
new_value=self._target_instances
)
)
# _source_node
old = self._source_node
source_node = None
if self._source_node_id:
items = [o for o in self._target_instances if o.id == self._source_node_id]
source_node = items[0] if len(items) else None
self._source_node = source_node
if not self._source_node == old:
notifications.append(
ChangeNotification(
item=self,
property_name='source_node',
old_value=old,
new_value=self._source_node
)
)
# _operator_instances
# _graph_output
old_operator_instances = self._operator_instances
old_graph_output = self._graph_output
items = []
self._graph_output = None
if '_operator_instances' in data.keys():
for o in data['_operator_instances']:
item = OperatorInstance()
item.deserialize(data=o)
items.append(item)
if isinstance(item.operator, GraphOutput):
self._graph_output = item
if not self._graph_output:
self._graph_output = OperatorInstance.FromOperator(operator=GraphOutput())
items.insert(0, self._graph_output)
self._operator_instances = items
if not self._operator_instances == old_operator_instances:
notifications.append(
ChangeNotification(
item=self,
property_name='operator_instances',
old_value=old_operator_instances,
new_value=self._operator_instances
)
)
if not self._graph_output == old_graph_output:
notifications.append(
ChangeNotification(
item=self,
property_name='old_graph_output',
old_value=old_operator_instances,
new_value=self._graph_output
)
)
items = []
if '_connections' in data.keys():
for o in data['_connections']:
item = Connection()
item.deserialize(data=o)
items.append(item)
self._connections = items
for o in self._target_instances:
self._subscribe(notifying=o)
for o in self._operator_instances:
self._subscribe(notifying=o)
for o in notifications:
self._notify(notification=o)
def build_dag(self) -> None:
for connection in self._connections:
source = self._get_plug(plug_id=connection.source_id)
destination = self._get_plug(plug_id=connection.destination_id)
if not source or not destination:
continue
if destination not in source.outputs:
source.outputs.append(destination)
destination.input = source
def _get_plug(self, plug_id: str) -> typing.Union[Plug, typing.NoReturn]:
for assembly_reference in self._target_instances:
for plug in assembly_reference.inputs:
if plug.id == plug_id:
return plug
for plug in assembly_reference.outputs:
if plug.id == plug_id:
return plug
for operator_instance in self._operator_instances:
for plug in operator_instance.outputs:
if plug.id == plug_id:
return plug
for plug in operator_instance.inputs:
if plug.id == plug_id:
return plug
return None
def add_node(self, node: OperatorInstance) -> None:
self._operator_instances.append(node)
def add_connection(self, source: Plug, destination: Plug) -> None:
connection = Connection()
connection._source_id = source.id
connection._destination_id = destination.id
self._connections.append(connection)
if destination not in source.outputs:
source.outputs.append(destination)
destination.input = source
def add(self, entity: GraphEntity) -> None:
if isinstance(entity, TargetInstance):
if entity in self._target_instances:
return
self._target_instances.append(entity)
self._subscribe(notifying=entity)
return
if isinstance(entity, OperatorInstance):
if entity in self._operator_instances:
return
self._operator_instances.append(entity)
self._subscribe(notifying=entity)
return
raise NotImplementedError()
def can_be_removed(self, entity: GraphEntity) -> bool:
if not entity:
return False
if entity not in self._target_instances and entity not in self._operator_instances:
return False
if entity == self._graph_output:
return False
return True
def remove(self, entity: GraphEntity) -> None:
if not self.can_be_removed(entity=entity):
raise Exception('Not allowed: entity is not allowed to be deleted.')
if isinstance(entity, TargetInstance):
if entity in self._target_instances:
self._unsubscribe(notifying=entity)
self._target_instances.remove(entity)
to_remove = []
for connection in self._connections:
if connection.source_id == entity.id or connection.destination_id == entity.id:
to_remove.append(connection)
for connection in to_remove:
self.remove_connection(connection=connection)
return
if isinstance(entity, OperatorInstance):
if entity in self._operator_instances:
self._unsubscribe(notifying=entity)
self._operator_instances.remove(entity)
to_remove = []
for connection in self._connections:
if connection.source_id == entity.id or connection.destination_id == entity.id:
to_remove.append(connection)
for connection in to_remove:
self.remove_connection(connection=connection)
return
raise NotImplementedError()
def remove_connection(self, connection: Connection) -> None:
if connection in self._connections:
self._connections.remove(connection)
source = self._get_plug(plug_id=connection.source_id)
destination = self._get_plug(plug_id=connection.destination_id)
if source and destination:
if destination in source.outputs:
source.outputs.remove(destination)
if destination.input == source:
destination.input = None
def get_entity_by_id(self, identifier: str) -> typing.Union[GraphEntity, typing.NoReturn]:
entities = [entity for entity in self._target_instances if entity.id == identifier]
if len(entities):
return entities[0]
entities = [entity for entity in self._operator_instances if entity.id == identifier]
if len(entities):
return entities[0]
return None
def get_output_entity(self) -> typing.Union[TargetInstance, typing.NoReturn]:
"""
Computes the dependency graph and returns the resulting Target reference.
Make sure relevant source node plug values have been set prior to invoking this method.
"""
if not self._graph_output:
return None
self._graph_output.invalidate()
assembly_id = self._graph_output.outputs[0].computed_value
for item in self._target_instances:
if item.target_id == assembly_id:
return item
return None
def get_object_style_name(self, entity: GraphEntity) -> str:
if not entity:
return ''
# TODO: Style computed output entity
# if entity == self.get_output_entity():
# return ConversionGraph.STYLE_OUTPUT.name
if entity == self.source_node:
return ConversionGraph.STYLE_SOURCE_NODE.name
if isinstance(entity, TargetInstance):
return ConversionGraph.STYLE_ASSEMBLY_REFERENCE.name
if isinstance(entity, OperatorInstance):
if entity.operator:
if entity.operator.__class__.__name__ == 'ConstantBoolean':
return ConversionGraph.STYLE_CONSTANT_BOOLEAN.name
if entity.operator.__class__.__name__ == 'ConstantColor':
return ConversionGraph.STYLE_CONSTANT_COLOR.name
if entity.operator.__class__.__name__ == 'ConstantFloat':
return ConversionGraph.STYLE_CONSTANT_FLOAT.name
if entity.operator.__class__.__name__ == 'ConstantInteger':
return ConversionGraph.STYLE_CONSTANT_INTEGER.name
if entity.operator.__class__.__name__ == 'ConstantString':
return ConversionGraph.STYLE_CONSTANT_STRING.name
if entity.operator.__class__.__name__ == 'BooleanSwitch':
return ConversionGraph.STYLE_BOOLEAN_SWITCH.name
if entity.operator.__class__.__name__ == 'ValueResolver':
return ConversionGraph.STYLE_VALUE_RESOLVER.name
if entity.operator.__class__.__name__ == 'SplitRGB':
return ConversionGraph.STYLE_SPLIT_RGB.name
if entity.operator.__class__.__name__ == 'MergeRGB':
return ConversionGraph.STYLE_MERGE_RGB.name
if entity.operator.__class__.__name__ == 'LessThan':
return ConversionGraph.STYLE_LESS_THAN.name
if entity.operator.__class__.__name__ == 'GreaterThan':
return ConversionGraph.STYLE_GREATER_THAN.name
if entity.operator.__class__.__name__ == 'Or':
return ConversionGraph.STYLE_OR.name
if entity.operator.__class__.__name__ == 'Equal':
return ConversionGraph.STYLE_EQUAL.name
if entity.operator.__class__.__name__ == 'Not':
return ConversionGraph.STYLE_NOT.name
if entity.operator.__class__.__name__ == 'MayaTransparencyResolver':
return ConversionGraph.STYLE_TRANSPARENCY_RESOLVER.name
if entity.operator.__class__.__name__ == 'GraphOutput':
return ConversionGraph.STYLE_OUTPUT.name
return ConversionGraph.STYLE_OPERATOR_INSTANCE.name
return ''
def get_output_targets(self) -> typing.List[TargetInstance]:
return [o for o in self._target_instances if not o == self._source_node]
@property
def target_instances(self) -> typing.List[TargetInstance]:
return self._target_instances[:]
@property
def operator_instances(self) -> typing.List[OperatorInstance]:
return self._operator_instances[:]
@property
def connections(self) -> typing.List[Connection]:
return self._connections[:]
@property
def filename(self) -> str:
return self._filename
@filename.setter
def filename(self, value: str) -> None:
if self._filename is value:
return
notification = ChangeNotification(
item=self,
property_name='filename',
old_value=self._filename,
new_value=value
)
self._filename = value
self._notify(notification=notification)
@property
def library(self) -> 'Library':
return self._library
@property
def graph_output(self) -> OperatorInstance:
return self._graph_output
@property
def source_node(self) -> TargetInstance:
return self._source_node
@source_node.setter
def source_node(self, value: TargetInstance) -> None:
if self._source_node is value:
return
node_notification = ChangeNotification(
item=self,
property_name='source_node',
old_value=self._source_node,
new_value=value
)
node_id_notification = ChangeNotification(
item=self,
property_name='source_node_id',
old_value=self._source_node_id,
new_value=value.id if value else ''
)
self._source_node = value
self._source_node_id = self._source_node.id if self._source_node else ''
self._notify(notification=node_notification)
self._notify(notification=node_id_notification)
@property
def exists_on_disk(self) -> bool:
return self._exists_on_disk
@property
def revision(self) -> int:
return self._revision
@revision.setter
def revision(self, value: int) -> None:
if self._revision is value:
return
notification = ChangeNotification(
item=self,
property_name='revision',
old_value=self._revision,
new_value=value
)
self._revision = value
self._notify(notification=notification)
class FileHeader(Serializable):
@classmethod
def FromInstance(cls, instance: Serializable) -> 'FileHeader':
header = cls()
header._module = instance.__class__.__module__
header._class_name = instance.__class__.__name__
return header
@classmethod
def FromData(cls, data: dict) -> 'FileHeader':
if '_module' not in data.keys():
raise Exception('Unexpected data: key "_module" not in dictionary')
if '_class_name' not in data.keys():
raise Exception('Unexpected data: key "_class_name" not in dictionary')
header = cls()
header._module = data['_module']
header._class_name = data['_class_name']
return header
def __init__(self):
super(FileHeader, self).__init__()
self._module = ''
self._class_name = ''
def serialize(self) -> dict:
output = dict()
output['_module'] = self._module
output['_class_name'] = self._class_name
return output
@property
def module(self) -> str:
return self._module
@property
def class_name(self) -> str:
return self._class_name
class FileUtility(Serializable):
@classmethod
def FromInstance(cls, instance: Serializable) -> 'FileUtility':
utility = cls()
utility._header = FileHeader.FromInstance(instance=instance)
utility._content = instance
return utility
@classmethod
def FromData(cls, data: dict) -> 'FileUtility':
if '_header' not in data.keys():
raise Exception('Unexpected data: key "_header" not in dictionary')
if '_content' not in data.keys():
raise Exception('Unexpected data: key "_content" not in dictionary')
utility = cls()
utility._header = FileHeader.FromData(data=data['_header'])
if utility._header.module not in sys.modules.keys():
importlib.import_module(utility._header.module)
module_pointer = sys.modules[utility._header.module]
class_pointer = module_pointer.__dict__[utility._header.class_name]
utility._content = class_pointer()
if isinstance(utility._content, Serializable):
utility._content.deserialize(data=data['_content'])
return utility
def __init__(self):
super(FileUtility, self).__init__()
self._header: FileHeader = None
self._content: Serializable = None
def serialize(self) -> dict:
output = dict()
output['_header'] = self._header.serialize()
output['_content'] = self._content.serialize()
return output
def assert_content_serializable(self):
data = self.content.serialize()
self._assert(data=data)
def _assert(self, data: dict):
for key, value in data.items():
if isinstance(value, dict):
self._assert(data=value)
elif isinstance(value, list):
for item in value:
if isinstance(item, dict):
self._assert(data=item)
else:
print(item)
else:
print(key, value)
@property
def header(self) -> FileHeader:
return self._header
@property
def content(self) -> Serializable:
return self._content
class Library(Base):
"""
A Library represents a UMM data set. It can contain any of the following types of files:
- Settings
- Conversion Graph
- Target
- Conversion Manifest
A Library is divided into a "core" and a "user" data set.
"core":
- Files provided by NVIDIA.
- Installed and updated by UMM.
- Adding, editing, and deleting files require running in "Developer Mode".
- Types:
- Conversion Graph
- Target
- Conversion Manifest
"user"
- Files created and updated by user.
- Types:
- Conversion Graph
- Target
- Conversion Manifest
Overrides ./core/Conversion Manifest
...or...
each file header has an attribute: source = core, source = user
if source == core then it is read-only to users.
TARGET: problem with that is what if user needs to update an existing target?
...why would they?
...because they may want to edit property states in the Target... would want their own.
CONVERSION GRAPH
...they could just Save As and make a different one. no problem here. do need to change the 'source' attribute to 'user' though.
CONVERSION MANIFEST
2 files
ConversionManifest.json
ConversionManifest_user.json (overrides ConversionManifest.json)
Limitation: User cannot all together remove a manifest item
"""
@classmethod
def Create(
cls,
library_id: str,
name: str,
manifest: IDelegate = None,
conversion_graph: IDelegate = None,
target: IDelegate = None,
settings: IDelegate = None
) -> 'Library':
instance = typing.cast(Library, super(Library, cls).Create())
instance._id = library_id
instance._name = name
instance._manifest = manifest
instance._conversion_graph = conversion_graph
instance._target = target
instance._settings = settings
return instance
def __init__(self):
super(Library, self).__init__()
self._name: str = ''
self._manifest: typing.Union[IDelegate, typing.NoReturn] = None
self._conversion_graph: typing.Union[IDelegate, typing.NoReturn] = None
self._target: typing.Union[IDelegate, typing.NoReturn] = None
self._settings: typing.Union[IDelegate, typing.NoReturn] = None
def serialize(self) -> dict:
output = super(Library, self).serialize()
output['_name'] = self._name
return output
def deserialize(self, data: dict) -> None:
super(Library, self).deserialize(data=data)
self._name = data['_name'] if '_name' in data.keys() else ''
@property
def name(self) -> str:
return self._name
@name.setter
def name(self, value: str) -> None:
self._name = value
@property
def manifest(self) -> typing.Union[IDelegate, typing.NoReturn]:
return self._manifest
@property
def conversion_graph(self) -> typing.Union[IDelegate, typing.NoReturn]:
return self._conversion_graph
@property
def target(self) -> typing.Union[IDelegate, typing.NoReturn]:
return self._target
@property
def settings(self) -> typing.Union[IDelegate, typing.NoReturn]:
return self._settings
@property
def is_read_only(self) -> bool:
return not self._conversion_graph or not self._target or not self._conversion_graph
class Settings(Serializable):
def __init__(self):
super(Settings, self).__init__()
self._libraries: typing.List[Library] = []
self._store_id = 'Settings.json'
self._render_contexts: typing.List[str] = []
def serialize(self) -> dict:
output = super(Settings, self).serialize()
output['_libraries'] = [o.serialize() for o in self._libraries]
output['_render_contexts'] = self._render_contexts
return output
def deserialize(self, data: dict) -> None:
super(Settings, self).deserialize(data=data)
items = []
if '_libraries' in data.keys():
for o in data['_libraries']:
item = Library()
item.deserialize(data=o)
items.append(item)
self._libraries = items
self._render_contexts = data['_render_contexts'] if '_render_contexts' in data.keys() else []
@property
def libraries(self) -> typing.List[Library]:
return self._libraries
@property
def store_id(self) -> str:
return self._store_id
@property
def render_contexts(self) -> typing.List[str]:
return self._render_contexts
class ClassInfo(object):
def __init__(self, display_name: str, class_name: str):
super(ClassInfo, self).__init__()
self._display_name = display_name
self._class_name = class_name
@property
def display_name(self) -> str:
return self._display_name
@property
def class_name(self) -> str:
return self._class_name
class OmniMDL(object):
OMNI_GLASS: ClassInfo = ClassInfo(display_name='Omni Glass', class_name='OmniGlass.mdl|OmniGlass')
OMNI_GLASS_OPACITY: ClassInfo = ClassInfo(display_name='Omni Glass Opacity',
class_name='OmniGlass_Opacity.mdl|OmniGlass_Opacity')
OMNI_PBR: ClassInfo = ClassInfo(display_name='Omni PBR', class_name='OmniPBR.mdl|OmniPBR')
OMNI_PBR_CLEAR_COAT: ClassInfo = ClassInfo(display_name='Omni PBR Clear Coat',
class_name='OmniPBR_ClearCoat.mdl|OmniPBR_ClearCoat')
OMNI_PBR_CLEAR_COAT_OPACITY: ClassInfo = ClassInfo(display_name='Omni PBR Clear Coat Opacity',
class_name='OmniPBR_ClearCoat_Opacity.mdl|OmniPBR_ClearCoat_Opacity')
OMNI_PBR_OPACITY = ClassInfo(display_name='Omni PBR Opacity', class_name='OmniPBR_Opacity.mdl|OmniPBR_Opacity')
OMNI_SURFACE: ClassInfo = ClassInfo(display_name='OmniSurface', class_name='OmniSurface.mdl|OmniSurface')
OMNI_SURFACE_LITE: ClassInfo = ClassInfo(display_name='OmniSurfaceLite',
class_name='OmniSurfaceLite.mdl|OmniSurfaceLite')
OMNI_SURFACE_UBER: ClassInfo = ClassInfo(display_name='OmniSurfaceUber',
class_name='OmniSurfaceUber.mdl|OmniSurfaceUber')
class MayaShader(object):
LAMBERT: ClassInfo = ClassInfo(display_name='Lambert', class_name='lambert')
class ConversionMap(Serializable):
@classmethod
def Create(
cls,
render_context: str,
application: str,
document: ConversionGraph,
) -> 'ConversionMap':
if not isinstance(document, ConversionGraph):
raise Exception('Argument "document" unexpected class: "{0}"'.format(type(document)))
instance = cls()
instance._render_context = render_context
instance._application = application
instance._conversion_graph_id = document.id
instance._conversion_graph = document
return instance
def __init__(self):
super(ConversionMap, self).__init__()
self._render_context: str = ''
self._application: str = ''
self._conversion_graph_id: str = ''
self._conversion_graph: ConversionGraph = None
def __eq__(self, other: 'ConversionMap') -> bool:
if not isinstance(other, ConversionMap):
return False
if not self.render_context == other.render_context:
return False
if not self.application == other.application:
return False
if not self.conversion_graph_id == other.conversion_graph_id:
return False
return True
def serialize(self) -> dict:
output = super(ConversionMap, self).serialize()
output['_render_context'] = self._render_context
output['_application'] = self._application
output['_conversion_graph_id'] = self._conversion_graph_id
return output
def deserialize(self, data: dict) -> None:
super(ConversionMap, self).deserialize(data=data)
self._render_context = data['_render_context'] if '_render_context' in data.keys() else ''
self._application = data['_application'] if '_application' in data.keys() else ''
self._conversion_graph_id = data['_conversion_graph_id'] if '_conversion_graph_id' in data.keys() else ''
self._conversion_graph = None
@property
def render_context(self) -> str:
return self._render_context
@property
def application(self) -> str:
return self._application
@property
def conversion_graph_id(self) -> str:
return self._conversion_graph_id
@property
def conversion_graph(self) -> ConversionGraph:
return self._conversion_graph
class ConversionManifest(Serializable):
def __init__(self):
super(ConversionManifest, self).__init__()
self._version_major: int = 100
self._version_minor: int = 0
self._conversion_maps: typing.List[ConversionMap] = []
self._store_id = 'ConversionManifest.json'
def serialize(self) -> dict:
output = super(ConversionManifest, self).serialize()
output['_version_major'] = self._version_major
output['_version_minor'] = self._version_minor
output['_conversion_maps'] = [o.serialize() for o in self._conversion_maps]
return output
def deserialize(self, data: dict) -> None:
super(ConversionManifest, self).deserialize(data=data)
self._version_major = data['_version_major'] if '_version_major' in data.keys() else 100
self._version_minor = data['_version_minor'] if '_version_minor' in data.keys() else 0
items = []
if '_conversion_maps' in data.keys():
for o in data['_conversion_maps']:
item = ConversionMap()
item.deserialize(data=o)
items.append(item)
self._conversion_maps = items
def set_version(self, major: int = 100, minor: int = 0) -> None:
self._version_major = major
self._version_minor = minor
def add(
self,
render_context: str,
application: str,
document: ConversionGraph,
) -> ConversionMap:
item = ConversionMap.Create(
render_context=render_context,
application=application,
document=document,
)
self._conversion_maps.append(item)
return item
def remove(self, item: ConversionMap) -> None:
if item in self._conversion_maps:
self._conversion_maps.remove(item)
@property
def conversion_maps(self) -> typing.List[ConversionMap]:
return self._conversion_maps[:]
@property
def version(self) -> str:
return '{0}.{1}'.format(self._version_major, self._version_minor)
@property
def version_major(self) -> int:
return self._version_major
@property
def version_minor(self) -> int:
return self._version_minor
@property
def store_id(self) -> str:
return self._store_id
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/feature.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
VIEWPORT: bool = False
"""
BROWSE_FOR_LIBRARY
- add ability to browse for a UMM library.
- includes creating a new one.
Without this features it is up to Connectors to create and register libraries on install.
"""
BROWSE_FOR_LIBRARY: bool = False
POLLING: bool = False
COPY: bool = True
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/operator.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import sys
import typing
from .data import Operator, Plug, DagNode, OperatorInstance
from . import util
class ConstantFloat(Operator):
def __init__(self):
super(ConstantFloat, self).__init__(
id='293c38db-c9b3-4b37-ab02-c4ff6052bcb6',
name='Constant Float',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else 0.0
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='value',
display_name='Float',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=True
)
plug.value = 0.0
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = len(self.id) * 0.3
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == len(self.id) * 0.3:
raise Exception('Test failed.')
class ConstantInteger(Operator):
def __init__(self):
super(ConstantInteger, self).__init__(
id='293c38db-c9b3-4b37-ab02-c4ff6052bcb7',
name='Constant Integer',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else 0
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='value',
display_name='Integer',
value_type=Plug.VALUE_TYPE_INTEGER,
editable=True
)
plug.value = 0
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = len(self.id)
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == len(self.id):
raise Exception('Test failed.')
class ConstantBoolean(Operator):
def __init__(self):
super(ConstantBoolean, self).__init__(
id='293c38db-c9b3-4b37-ab02-c4ff6052bcb8',
name='Constant Boolean',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else False
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='value',
display_name='Boolean',
value_type=Plug.VALUE_TYPE_BOOLEAN,
editable=True
)
plug.value = True
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = False
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if output.computed_value:
raise Exception('Test failed.')
class ConstantString(Operator):
def __init__(self):
super(ConstantString, self).__init__(
id='cb169ec0-5ddb-45eb-98d1-5d09f1ca759g',
name='Constant String',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else ''
# print('ConstantString._compute_outputs(): output_plugs[0].computed_value', output_plugs[0].computed_value)
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='value',
display_name='String',
value_type=Plug.VALUE_TYPE_STRING,
editable=True
)
plug.value = ''
plug.default_value = ''
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = self.id
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == self.id:
raise Exception('Test failed.')
class ConstantRGB(Operator):
def __init__(self):
super(ConstantRGB, self).__init__(
id='60f21797-dd62-4b06-9721-53882aa42e81',
name='Constant RGB',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else (0, 0, 0)
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='value',
display_name='Color',
value_type=Plug.VALUE_TYPE_VECTOR3,
editable=True
)
plug.value = (0, 0, 0)
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = (0.1, 0.2, 0.3)
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == (0.1, 0.2, 0.3):
raise Exception('Test failed.')
class ConstantRGBA(Operator):
def __init__(self):
super(ConstantRGBA, self).__init__(
id='0ab39d82-5862-4332-af7a-329200ae1d14',
name='Constant RGBA',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else (0, 0, 0, 0)
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='value',
display_name='Color',
value_type=Plug.VALUE_TYPE_VECTOR4,
editable=True
)
plug.value = (0, 0, 0, 1)
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = (0.1, 0.2, 0.3, 0.4)
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == (0.1, 0.2, 0.3, 0.4):
raise Exception('Test failed.')
class BooleanSwitch(Operator):
"""
Outputs the value of input 2 if input 1 is TRUE. Otherwise input 3 will be output.
Input 1 must be a boolean.
Input 2 and 3 can be of any value type.
"""
def __init__(self):
super(BooleanSwitch, self).__init__(
id='a628ab13-f19f-45b3-81cf-6824dd6e7b5d',
name='Boolean Switch',
required_inputs=3,
min_inputs=3,
max_inputs=3,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
debug = False
value = None
if debug:
print('BooleanSwitch')
print('\tinput_plugs[0].input:', input_plugs[0].input)
if input_plugs[0].input is not None:
if debug:
print('\tinput_plugs[0].input.computed_value:', input_plugs[0].input.computed_value)
print('\tinput_plugs[1].input:', input_plugs[1].input)
if input_plugs[1].input is not None:
print('\tinput_plugs[1].input.computed_value:', input_plugs[1].input.computed_value)
print('\tinput_plugs[2].input:', input_plugs[2].input)
if input_plugs[2].input is not None:
print('\tinput_plugs[2].input.computed_value:', input_plugs[2].input.computed_value)
if input_plugs[0].input.computed_value:
value = input_plugs[1].input.computed_value if input_plugs[1].input is not None else False
else:
value = input_plugs[2].input.computed_value if input_plugs[2].input is not None else False
elif debug:
print('\tskipping evaluating inputs')
if debug:
print('\tvalue:', value)
print('\toutput_plugs[0].computed_value is value', output_plugs[0].computed_value is value)
output_plugs[0].computed_value = value if value is not None else False
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(parent=parent, name='input_boolean', display_name='Boolean', value_type=Plug.VALUE_TYPE_BOOLEAN)
plug.value = False
return plug
if index == 1:
return Plug.Create(parent=parent, name='on_true', display_name='True Output', value_type=Plug.VALUE_TYPE_ANY)
if index == 2:
return Plug.Create(parent=parent, name='on_false', display_name='False Output', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(parent=parent, name='output', display_name='Output', value_type=Plug.VALUE_TYPE_ANY)
plug.value = False
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantBoolean())
fake.outputs[0].value = True
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantString())
fake.outputs[0].value = 'Input 1 value'
input_plugs[1].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantString())
fake.outputs[0].value = 'Input 2 value'
input_plugs[2].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
for output in output_plugs:
if not output.computed_value == 'Input 1 value':
raise Exception('Test failed.')
class SplitRGB(Operator):
def __init__(self):
super(SplitRGB, self).__init__(
id='1cbcf8c6-328c-49b6-b4fc-d16fd78d4868',
name='Split RGB',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=3
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None:
output_plugs[0].computed_value = 0
output_plugs[1].computed_value = 0
output_plugs[2].computed_value = 0
else:
value = input_plugs[0].input.computed_value
try:
test = iter(value)
is_iterable = True
except TypeError:
is_iterable = False
if is_iterable and len(value) == 3:
output_plugs[0].computed_value = value[0]
output_plugs[1].computed_value = value[1]
output_plugs[2].computed_value = value[2]
else:
output_plugs[0].computed_value = output_plugs[0].default_value
output_plugs[1].computed_value = output_plugs[1].default_value
output_plugs[2].computed_value = output_plugs[2].default_value
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input_rgb', display_name='RGB', value_type=Plug.VALUE_TYPE_VECTOR3)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='red',
display_name='Red',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
if index == 1:
plug = Plug.Create(
parent=parent,
name='green',
display_name='Green',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
if index == 2:
plug = Plug.Create(
parent=parent,
name='blue',
display_name='Blue',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantRGB())
fake.outputs[0].value = (0.1, 0.2, 0.3)
input_plugs[0].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 0.1:
raise Exception('Test failed.')
if not output_plugs[1].computed_value == 0.2:
raise Exception('Test failed.')
if not output_plugs[2].computed_value == 0.3:
raise Exception('Test failed.')
class MergeRGB(Operator):
def __init__(self):
super(MergeRGB, self).__init__(
id='1cbcf8c6-328d-49b6-b4fc-d16fd78d4868',
name='Merge RGB',
required_inputs=3,
min_inputs=3,
max_inputs=3,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
rgb = [0.0, 0.0, 0.0]
for i in range(3):
if input_plugs[i].input is not None:
assumed_value_type = input_plugs[i].input.value_type
if util.to_plug_value_type(value=input_plugs[i].input.computed_value, assumed_value_type=assumed_value_type) == Plug.VALUE_TYPE_FLOAT:
rgb[i] = input_plugs[i].input.computed_value
output_plugs[0].computed_value = tuple(rgb)
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input_r', display_name='R', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 1:
return Plug.Create(parent=parent, name='input_g', display_name='G', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 2:
return Plug.Create(parent=parent, name='input_B', display_name='B', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='rgb',
display_name='RGB',
value_type=Plug.VALUE_TYPE_VECTOR3,
editable=False
)
plug.value = (0, 0, 0)
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.1
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.2
input_plugs[1].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.3
input_plugs[2].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == (0.1, 0.2, 0.3):
raise Exception('Test failed.')
class SplitRGBA(Operator):
def __init__(self):
super(SplitRGBA, self).__init__(
id='2c48e13c-2b58-48b9-a3b6-5f977c402b2e',
name='Split RGBA',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=4
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None:
output_plugs[0].computed_value = 0
output_plugs[1].computed_value = 0
output_plugs[2].computed_value = 0
output_plugs[3].computed_value = 0
return
value = input_plugs[0].input.computed_value
try:
test = iter(value)
is_iterable = True
except TypeError:
is_iterable = False
if is_iterable and len(value) == 4:
output_plugs[0].computed_value = value[0]
output_plugs[1].computed_value = value[1]
output_plugs[2].computed_value = value[2]
output_plugs[3].computed_value = value[3]
else:
output_plugs[0].computed_value = output_plugs[0].default_value
output_plugs[1].computed_value = output_plugs[1].default_value
output_plugs[2].computed_value = output_plugs[2].default_value
output_plugs[3].computed_value = output_plugs[3].default_value
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input_rgba', display_name='RGBA', value_type=Plug.VALUE_TYPE_VECTOR4)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='red',
display_name='Red',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
if index == 1:
plug = Plug.Create(
parent=parent,
name='green',
display_name='Green',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
if index == 2:
plug = Plug.Create(
parent=parent,
name='blue',
display_name='Blue',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
if index == 3:
plug = Plug.Create(
parent=parent,
name='alpha',
display_name='Alpha',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False
)
plug.value = 0
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantRGB())
fake.outputs[0].value = (0.1, 0.2, 0.3, 0.4)
input_plugs[0].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 0.1:
raise Exception('Test failed.')
if not output_plugs[1].computed_value == 0.2:
raise Exception('Test failed.')
if not output_plugs[2].computed_value == 0.3:
raise Exception('Test failed.')
if not output_plugs[3].computed_value == 0.4:
raise Exception('Test failed.')
class MergeRGBA(Operator):
def __init__(self):
super(MergeRGBA, self).__init__(
id='92e57f3d-8514-4786-a4ed-2767139a15eb',
name='Merge RGBA',
required_inputs=4,
min_inputs=4,
max_inputs=4,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
rgba = [0.0, 0.0, 0.0, 0.0]
for i in range(4):
if input_plugs[i].input is not None:
assumed_value_type = input_plugs[i].input.value_type
if util.to_plug_value_type(value=input_plugs[i].input.computed_value, assumed_value_type=assumed_value_type) == Plug.VALUE_TYPE_FLOAT:
rgba[i] = input_plugs[i].input.computed_value
output_plugs[0].computed_value = tuple(rgba)
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input_r', display_name='R', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 1:
return Plug.Create(parent=parent, name='input_g', display_name='G', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 2:
return Plug.Create(parent=parent, name='input_b', display_name='B', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 3:
return Plug.Create(parent=parent, name='input_a', display_name='A', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='rgba',
display_name='RGBA',
value_type=Plug.VALUE_TYPE_VECTOR3,
editable=False
)
plug.value = (0, 0, 0, 0)
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.1
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.2
input_plugs[1].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.3
input_plugs[2].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.4
input_plugs[3].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == (0.1, 0.2, 0.3, 0.4):
raise Exception('Test failed.')
class LessThan(Operator):
def __init__(self):
super(LessThan, self).__init__(
id='996df9bd-08d5-451b-a67c-80d0de7fba32',
name='Less Than',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None or input_plugs[1].input is None:
for output in output_plugs:
output.computed_value = False
return
value = input_plugs[0].input.computed_value
compare = input_plugs[1].input.computed_value
result = False
try:
result = value < compare
except Exception as error:
print('WARNING: Universal Material Map: '
'unable to compare if "{0}" is less than "{1}". '
'Setting output to "{2}".'.format(
value,
compare,
result
))
output_plugs[0].computed_value = result
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='value', display_name='Value', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 1:
return Plug.Create(parent=parent, name='comparison', display_name='Comparison', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Is Less Than', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.1
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.2
input_plugs[1].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value:
raise Exception('Test failed.')
class GreaterThan(Operator):
def __init__(self):
super(GreaterThan, self).__init__(
id='1e751c3a-f6cd-43a2-aa72-22cb9d82ad19',
name='Greater Than',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None or input_plugs[1].input is None:
output_plugs[0].computed_value = False
return
value = input_plugs[0].input.computed_value
compare = input_plugs[1].input.computed_value
result = False
try:
result = value > compare
except Exception as error:
print('WARNING: Universal Material Map: '
'unable to compare if "{0}" is greater than "{1}". '
'Setting output to "{2}".'.format(
value,
compare,
result
))
output_plugs[0].computed_value = result
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='value', display_name='Value', value_type=Plug.VALUE_TYPE_FLOAT)
if index == 1:
return Plug.Create(parent=parent, name='comparison', display_name='Comparison', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Is Greater Than', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.1
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantFloat())
fake.outputs[0].value = 0.2
input_plugs[1].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if output_plugs[0].computed_value:
raise Exception('Test failed.')
class Or(Operator):
def __init__(self):
super(Or, self).__init__(
id='d0288faf-cb2e-4765-8923-1a368b45f62c',
name='Or',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None and input_plugs[1].input is None:
output_plugs[0].computed_value = False
return
value_1 = input_plugs[0].input.computed_value if input_plugs[0].input else False
value_2 = input_plugs[1].input.computed_value if input_plugs[1].input else False
if value_1 is None and value_2 is None:
output_plugs[0].computed_value = False
return
if value_1 is None:
output_plugs[0].computed_value = True if value_2 else False
return
if value_2 is None:
output_plugs[0].computed_value = True if value_1 else False
return
output_plugs[0].computed_value = value_1 or value_2
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='value_1', display_name='Value 1', value_type=Plug.VALUE_TYPE_ANY)
if index == 1:
return Plug.Create(parent=parent, name='value_2', display_name='Value 2', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Is True', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantBoolean())
fake.outputs[0].value = True
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantBoolean())
fake.outputs[0].value = False
input_plugs[1].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value:
raise Exception('Test failed.')
class And(Operator):
def __init__(self):
super(And, self).__init__(
id='9c5e4fb9-9948-4075-a7d6-ae9bc04e25b5',
name='And',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None and input_plugs[1].input is None:
output_plugs[0].computed_value = False
return
value_1 = input_plugs[0].input.computed_value if input_plugs[0].input else False
value_2 = input_plugs[1].input.computed_value if input_plugs[1].input else False
if value_1 is None and value_2 is None:
output_plugs[0].computed_value = False
return
if value_1 is None:
output_plugs[0].computed_value = True if value_2 else False
return
if value_2 is None:
output_plugs[0].computed_value = True if value_1 else False
return
output_plugs[0].computed_value = value_1 and value_2
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='value_1', display_name='Value 1', value_type=Plug.VALUE_TYPE_ANY)
if index == 1:
return Plug.Create(parent=parent, name='value_2', display_name='Value 2', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Is True', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantBoolean())
fake.outputs[0].value = True
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantBoolean())
fake.outputs[0].value = True
input_plugs[1].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value:
raise Exception('Test failed.')
class Equal(Operator):
def __init__(self):
super(Equal, self).__init__(
id='fb353972-aebd-4d32-8231-f644f75d322c',
name='Equal',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None and input_plugs[1].input is None:
output_plugs[0].computed_value = True
return
if input_plugs[0].input is None or input_plugs[1].input is None:
output_plugs[0].computed_value = False
return
value_1 = input_plugs[0].input.computed_value
value_2 = input_plugs[1].input.computed_value
if value_1 is None and value_2 is None:
output_plugs[0].computed_value = True
return
if value_1 is None or value_2 is None:
output_plugs[0].computed_value = False
return
result = False
try:
result = value_1 == value_2
except Exception as error:
print('WARNING: Universal Material Map: '
'unable to compare if "{0}" is equal to "{1}". '
'Setting output to "{2}".'.format(
value_1,
value_2,
result
))
output_plugs[0].computed_value = result
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='value_1', display_name='Value 1', value_type=Plug.VALUE_TYPE_ANY)
if index == 1:
return Plug.Create(parent=parent, name='value_1', display_name='Value 2', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Are Equal', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantString())
fake.outputs[0].value = self.id
input_plugs[0].input = fake.outputs[0]
fake = OperatorInstance.FromOperator(operator=ConstantString())
fake.outputs[0].value = self.id
input_plugs[1].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value:
raise Exception('Test failed.')
class Not(Operator):
def __init__(self):
super(Not, self).__init__(
id='7b8b67df-ce2e-445c-98b7-36ea695c77e3',
name='Not',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None:
output_plugs[0].computed_value = False
return
value_1 = input_plugs[0].input.computed_value
if value_1 is None:
output_plugs[0].computed_value = False
return
output_plugs[0].computed_value = not value_1
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='value', display_name='Boolean', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Boolean', value_type=Plug.VALUE_TYPE_BOOLEAN)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantBoolean())
fake.outputs[0].value = False
input_plugs[0].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value:
raise Exception('Test failed.')
class ValueTest(Operator):
def __init__(self):
super(ValueTest, self).__init__(
id='2899f66b-2e8d-467b-98d1-5f590cf98e7a',
name='Value Test',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if input_plugs[0].input is None:
output_plugs[0].computed_value = None
return
output_plugs[0].computed_value = input_plugs[0].input.computed_value
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input', display_name='Input', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Output', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantInteger())
fake.outputs[0].value = 10
input_plugs[0].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 10:
raise Exception('Test failed.')
class ValueResolver(Operator):
def __init__(self):
super(ValueResolver, self).__init__(
id='74306cd0-b668-4a92-9e15-7b23486bd89a',
name='Value Resolver',
required_inputs=8,
min_inputs=8,
max_inputs=8,
num_outputs=7
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
assumed_value_type = input_plugs[0].input.value_type if input_plugs[0].input else input_plugs[0].value_type
computed_value = input_plugs[0].input.computed_value if input_plugs[0].input else False
value_type = util.to_plug_value_type(value=computed_value, assumed_value_type=assumed_value_type)
if value_type == Plug.VALUE_TYPE_BOOLEAN:
output_plugs[0].computed_value = computed_value
else:
output_plugs[0].computed_value = input_plugs[1].computed_value
if value_type == Plug.VALUE_TYPE_VECTOR3:
output_plugs[1].computed_value = computed_value
else:
output_plugs[1].computed_value = input_plugs[2].computed_value
if value_type == Plug.VALUE_TYPE_FLOAT:
output_plugs[2].computed_value = computed_value
else:
output_plugs[2].computed_value = input_plugs[3].computed_value
if value_type == Plug.VALUE_TYPE_INTEGER:
output_plugs[3].computed_value = computed_value
else:
output_plugs[3].computed_value = input_plugs[4].computed_value
if value_type == Plug.VALUE_TYPE_STRING:
output_plugs[4].computed_value = computed_value
else:
output_plugs[4].computed_value = input_plugs[5].computed_value
if value_type == Plug.VALUE_TYPE_VECTOR4:
output_plugs[5].computed_value = computed_value
else:
output_plugs[5].computed_value = input_plugs[6].computed_value
if value_type == Plug.VALUE_TYPE_LIST:
output_plugs[6].computed_value = computed_value
else:
output_plugs[6].computed_value = input_plugs[7].computed_value
for index, input_plug in enumerate(input_plugs):
if index == 0:
continue
input_plug.is_editable = not input_plug.input
for output_plug in output_plugs:
output_plug.is_editable = False
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input', display_name='Input', value_type=Plug.VALUE_TYPE_ANY)
if index == 1:
plug = Plug.Create(
parent=parent,
name='boolean',
display_name='Boolean',
value_type=Plug.VALUE_TYPE_BOOLEAN,
editable=True,
)
plug.value = False
return plug
if index == 2:
plug = Plug.Create(
parent=parent,
name='color',
display_name='Color',
value_type=Plug.VALUE_TYPE_VECTOR3,
editable=True,
)
plug.value = (0, 0, 0)
return plug
if index == 3:
plug = Plug.Create(
parent=parent,
name='float',
display_name='Float',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=True,
)
plug.value = 0
return plug
if index == 4:
plug = Plug.Create(
parent=parent,
name='integer',
display_name='Integer',
value_type=Plug.VALUE_TYPE_INTEGER,
editable=True,
)
plug.value = 0
return plug
if index == 5:
plug = Plug.Create(
parent=parent,
name='string',
display_name='String',
value_type=Plug.VALUE_TYPE_STRING,
editable=True,
)
plug.value = ''
return plug
if index == 6:
plug = Plug.Create(
parent=parent,
name='rgba',
display_name='RGBA',
value_type=Plug.VALUE_TYPE_VECTOR4,
editable=True,
)
plug.value = (0, 0, 0, 1)
return plug
if index == 7:
plug = Plug.Create(
parent=parent,
name='list',
display_name='List',
value_type=Plug.VALUE_TYPE_LIST,
editable=False,
)
plug.value = []
return plug
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='boolean',
display_name='Boolean',
value_type=Plug.VALUE_TYPE_BOOLEAN,
editable=False,
)
plug.value = False
return plug
if index == 1:
plug = Plug.Create(
parent=parent,
name='color',
display_name='Color',
value_type=Plug.VALUE_TYPE_VECTOR3,
editable=False,
)
plug.value = (0, 0, 0)
return plug
if index == 2:
plug = Plug.Create(
parent=parent,
name='float',
display_name='Float',
value_type=Plug.VALUE_TYPE_FLOAT,
editable=False,
)
plug.value = 0
return plug
if index == 3:
plug = Plug.Create(
parent=parent,
name='integer',
display_name='Integer',
value_type=Plug.VALUE_TYPE_INTEGER,
editable=False,
)
plug.value = 0
return plug
if index == 4:
plug = Plug.Create(
parent=parent,
name='string',
display_name='String',
value_type=Plug.VALUE_TYPE_STRING,
editable=False,
)
plug.value = ''
return plug
if index == 5:
plug = Plug.Create(
parent=parent,
name='rgba',
display_name='RGBA',
value_type=Plug.VALUE_TYPE_VECTOR4,
editable=False,
)
plug.value = (0, 0, 0, 1)
return plug
if index == 6:
plug = Plug.Create(
parent=parent,
name='list',
display_name='List',
value_type=Plug.VALUE_TYPE_LIST,
editable=False,
)
plug.value = []
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantInteger())
fake.outputs[0].value = 10
input_plugs[0].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[3].computed_value == 10:
raise Exception('Test failed.')
class MayaTransparencyResolver(Operator):
"""
Specialty operator based on Maya transparency attribute.
If the input is of type string - and is not an empty string - then the output will be TRUE.
If the input is a tripple float - and any value is greater than zero - then the output will also be TRUE.
In all other cases the output will be FALSE.
"""
def __init__(self):
super(MayaTransparencyResolver, self).__init__(
id='2b523832-ac84-4051-9064-6046121dcd48',
name='Maya Transparency Resolver',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
is_transparent = False
assumed_value_type = input_plugs[0].input.value_type if input_plugs[0].input else input_plugs[0].value_type
computed_value = input_plugs[0].input.computed_value if input_plugs[0].input else False
value_type = util.to_plug_value_type(value=computed_value, assumed_value_type=assumed_value_type)
if value_type == Plug.VALUE_TYPE_STRING:
is_transparent = not computed_value == ''
elif value_type == Plug.VALUE_TYPE_VECTOR3:
for value in computed_value:
if value > 0:
is_transparent = True
break
elif value_type == Plug.VALUE_TYPE_FLOAT:
is_transparent = computed_value > 0
output_plugs[0].computed_value = is_transparent
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input', display_name='Input', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='is_transparent',
display_name='Is Transparent',
value_type=Plug.VALUE_TYPE_BOOLEAN,
)
plug.value = False
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
fake = OperatorInstance.FromOperator(operator=ConstantRGB())
fake.outputs[0].value = (0.5, 0.5, 0.5)
input_plugs[0].input = fake.outputs[0]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value:
raise Exception('Test failed.')
class ListGenerator(Operator):
def __init__(self):
super(ListGenerator, self).__init__(
id='a410f7a0-280a-451f-a26c-faf9a8e302b4',
name='List Generator',
required_inputs=0,
min_inputs=0,
max_inputs=-1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output = []
for input_plug in input_plugs:
output.append(input_plug.computed_value)
output_plugs[0].computed_value = output
def generate_input(self, parent: DagNode, index: int) -> Plug:
return Plug.Create(
parent=parent,
name='[{0}]'.format(index),
display_name='[{0}]'.format(index),
value_type=Plug.VALUE_TYPE_ANY,
editable=False,
is_removable=True,
)
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='list', display_name='list', value_type=Plug.VALUE_TYPE_LIST)
raise Exception('Output index "{0}" not supported.'.format(index))
def remove_plug(self, operator_instance: 'OperatorInstance', plug: 'Plug') -> None:
super(ListGenerator, self).remove_plug(operator_instance=operator_instance, plug=plug)
for index, plug in enumerate(operator_instance.inputs):
plug.name = '[{0}]'.format(index)
plug.display_name = '[{0}]'.format(index)
for plug in operator_instance.outputs:
plug.invalidate()
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
class ListIndex(Operator):
def __init__(self):
super(ListIndex, self).__init__(
id='e4a81506-fb6b-4729-8273-f68e97f5bc6b',
name='List Index',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
try:
test = iter(input_plugs[0].computed_value)
index = input_plugs[1].computed_value
if 0 <= index < len(input_plugs[0].computed_value):
output_plugs[0].computed_value = input_plugs[0].computed_value[index]
else:
output_plugs[0].computed_value = None
except TypeError:
output_plugs[0].computed_value = None
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='list', display_name='List', value_type=Plug.VALUE_TYPE_LIST)
if index == 1:
plug = Plug.Create(
parent=parent,
name='index',
display_name='Index',
value_type=Plug.VALUE_TYPE_INTEGER,
editable=True
)
plug.computed_value = 0
return plug
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='output', display_name='Output', value_type=Plug.VALUE_TYPE_ANY)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
input_plugs[0].value = ['hello', 'world']
input_plugs[1].value = 1
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 'world':
raise Exception('Test failed.')
class MDLColorSpace(Operator):
def __init__(self):
super(MDLColorSpace, self).__init__(
id='cf0b97c8-fb55-4cf3-8afc-23ebd4a0a6c7',
name='MDL Color Space',
required_inputs=0,
min_inputs=0,
max_inputs=0,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].computed_value = output_plugs[0].value if output_plugs[0].value else 'auto'
def generate_input(self, parent: DagNode, index: int) -> Plug:
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='color_space',
display_name='Color Space',
value_type=Plug.VALUE_TYPE_ENUM,
editable=True
)
plug.enum_values = ['auto', 'raw', 'sRGB']
plug.default_value = 'auto'
plug.value = 'auto'
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output_plugs[0].value = output_plugs[0].enum_values[2]
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == output_plugs[0].enum_values[2]:
raise Exception('Test failed.')
class MDLTextureResolver(Operator):
def __init__(self):
super(MDLTextureResolver, self).__init__(
id='af766adb-cf54-4a8b-a598-44b04fbcf630',
name='MDL Texture Resolver',
required_inputs=2,
min_inputs=2,
max_inputs=2,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
filepath = input_plugs[0].input.computed_value if input_plugs[0].input else ''
value_type = util.to_plug_value_type(value=filepath, assumed_value_type=Plug.VALUE_TYPE_STRING)
filepath = filepath if value_type == Plug.VALUE_TYPE_STRING else ''
colorspace = input_plugs[1].computed_value
output_plugs[0].computed_value = [filepath, colorspace]
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='input', display_name='Input', value_type=Plug.VALUE_TYPE_STRING)
if index == 1:
plug = Plug.Create(
parent=parent,
name='color_space',
display_name='Color Space',
value_type=Plug.VALUE_TYPE_ENUM,
editable=True
)
plug.enum_values = ['auto', 'raw', 'sRGB']
plug.default_value = 'auto'
plug.value = 'auto'
return plug
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='list',
display_name='List',
value_type=Plug.VALUE_TYPE_LIST,
editable=False,
)
plug.default_value = ['', 'auto']
plug.value = ['', 'auto']
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
input_plugs[0].value = 'c:/folder/color.png'
input_plugs[1].value = 'raw'
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[3].computed_value == ['c:/folder/color.png', 'raw']:
raise Exception('Test failed.')
class SplitTextureData(Operator):
def __init__(self):
super(SplitTextureData, self).__init__(
id='6a411798-434c-4ad4-b464-0bd2e78cdcec',
name='Split Texture Data',
required_inputs=1,
min_inputs=1,
max_inputs=1,
num_outputs=2
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
is_valid_input = False
try:
value = input_plugs[0].computed_value
test = iter(value)
if len(value) == 2:
if sys.version_info.major < 3:
if isinstance(value[0], basestring) and isinstance(value[1], basestring):
is_valid_input = True
else:
if isinstance(value[0], str) and isinstance(value[1], str):
is_valid_input = True
except TypeError:
pass
if is_valid_input:
output_plugs[0].computed_value = value[0]
output_plugs[1].computed_value = value[1]
else:
output_plugs[0].computed_value = ''
output_plugs[1].computed_value = 'auto'
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(parent=parent, name='list', display_name='List', value_type=Plug.VALUE_TYPE_LIST)
plug.default_value = ['', 'auto']
plug.computed_value = ['', 'auto']
return plug
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(parent=parent, name='texture_path', display_name='Texture Path', value_type=Plug.VALUE_TYPE_STRING)
plug.default_value = ''
plug.computed_value = ''
return plug
if index == 1:
plug = Plug.Create(parent=parent, name='color_space', display_name='Color Space', value_type=Plug.VALUE_TYPE_STRING)
plug.default_value = 'auto'
plug.computed_value = 'auto'
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
input_plugs[0].computed_value = ['hello.png', 'world']
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 'hello.png':
raise Exception('Test failed.')
if not output_plugs[1].computed_value == 'world':
raise Exception('Test failed.')
class Multiply(Operator):
def __init__(self):
super(Multiply, self).__init__(
id='0f5c9828-f582-48aa-b055-c12b91e692a7',
name='Multiply',
required_inputs=0,
min_inputs=2,
max_inputs=-1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
values = []
for input_plug in input_plugs:
if isinstance(input_plug.computed_value, int):
values.append(input_plug.computed_value)
continue
if isinstance(input_plug.computed_value, float):
values.append(input_plug.computed_value)
if len(values) < 2:
output_plugs[0].computed_value = 0
else:
product = 1.0
for o in values:
product *= o
output_plugs[0].computed_value = product
for input_plug in input_plugs:
input_plug.is_editable = not input_plug.input
def generate_input(self, parent: DagNode, index: int) -> Plug:
plug = Plug.Create(
parent=parent,
name='[{0}]'.format(index),
display_name='[{0}]'.format(index),
value_type=Plug.VALUE_TYPE_FLOAT,
editable=True,
is_removable=index > 1,
)
plug.default_value = 1.0
plug.value = 1.0
plug.computed_value = 1.0
return plug
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='product', display_name='product', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Output index "{0}" not supported.'.format(index))
def remove_plug(self, operator_instance: 'OperatorInstance', plug: 'Plug') -> None:
super(Multiply, self).remove_plug(operator_instance=operator_instance, plug=plug)
for index, plug in enumerate(operator_instance.inputs):
plug.name = '[{0}]'.format(index)
plug.display_name = '[{0}]'.format(index)
for plug in operator_instance.outputs:
plug.invalidate()
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
input_plugs[0].computed_value = 2
input_plugs[1].computed_value = 2
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 4:
raise Exception('Test failed.')
class ColorSpaceResolver(Operator):
MAPPING = {
'MDL|auto|Blender': 'sRGB',
'MDL|srgb|Blender': 'sRGB',
'MDL|raw|Blender': 'Raw',
'Blender|filmic log|MDL': 'raw',
'Blender|linear|MDL': 'raw',
'Blender|linear aces|MDL': 'raw',
'Blender|non-color|MDL': 'raw',
'Blender|raw|MDL': 'raw',
'Blender|srgb|MDL': 'sRGB',
'Blender|xyz|MDL': 'raw',
}
DEFAULT = {
'Blender': 'Linear',
'MDL': 'auto',
}
def __init__(self):
super(ColorSpaceResolver, self).__init__(
id='c159df8f-a0a2-4300-b897-e8eaa689a901',
name='Color Space Resolver',
required_inputs=3,
min_inputs=3,
max_inputs=3,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
color_space = input_plugs[0].computed_value.lower()
from_color_space = input_plugs[1].computed_value
to_color_space = input_plugs[2].computed_value
key = '{0}|{1}|{2}'.format(
from_color_space,
color_space,
to_color_space
)
if key in ColorSpaceResolver.MAPPING:
output_plugs[0].computed_value = ColorSpaceResolver.MAPPING[key]
else:
output_plugs[0].computed_value = ColorSpaceResolver.DEFAULT[to_color_space]
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='color_space',
display_name='Color Space',
value_type=Plug.VALUE_TYPE_STRING,
editable=False,
is_removable=False,
)
plug.default_value = ''
plug.computed_value = ''
return plug
if index == 1:
plug = Plug.Create(
parent=parent,
name='from_color_space',
display_name='From',
value_type=Plug.VALUE_TYPE_ENUM,
editable=True
)
plug.enum_values = ['MDL', 'Blender']
plug.default_value = 'MDL'
plug.computed_value = 'MDL'
return plug
if index == 2:
plug = Plug.Create(
parent=parent,
name='to_color_space',
display_name='To',
value_type=Plug.VALUE_TYPE_ENUM,
editable=True
)
plug.enum_values = ['Blender', 'MDL']
plug.default_value = 'Blender'
plug.computed_value = 'Blender'
return plug
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(
parent=parent,
name='color_space',
display_name='Color Space',
value_type=Plug.VALUE_TYPE_STRING,
editable=False
)
plug.default_value = ''
plug.computed_value = ''
return plug
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
raise NotImplementedError()
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == output_plugs[0].enum_values[2]:
raise Exception('Test failed.')
class Add(Operator):
def __init__(self):
super(Add, self).__init__(
id='f2818669-5454-4599-8792-2cb09f055bf9',
name='Add',
required_inputs=0,
min_inputs=2,
max_inputs=-1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output = 0
for input_plug in input_plugs:
try:
output += input_plug.computed_value
except:
pass
output_plugs[0].computed_value = output
def generate_input(self, parent: DagNode, index: int) -> Plug:
plug = Plug.Create(
parent=parent,
name='[{0}]'.format(index),
display_name='[{0}]'.format(index),
value_type=Plug.VALUE_TYPE_FLOAT,
editable=True,
is_removable=True,
)
plug.default_value = 0.0
plug.computed_value = 0.0
return plug
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='sum', display_name='sum', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Output index "{0}" not supported.'.format(index))
def remove_plug(self, operator_instance: 'OperatorInstance', plug: 'Plug') -> None:
super(Add, self).remove_plug(operator_instance=operator_instance, plug=plug)
for index, plug in enumerate(operator_instance.inputs):
plug.name = '[{0}]'.format(index)
plug.display_name = '[{0}]'.format(index)
for plug in operator_instance.outputs:
plug.invalidate()
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
class Subtract(Operator):
def __init__(self):
super(Subtract, self).__init__(
id='15f523f3-4e94-43a5-8306-92d07cbfa48c',
name='Subtract',
required_inputs=0,
min_inputs=2,
max_inputs=-1,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
output = None
for input_plug in input_plugs:
try:
if output is None:
output = input_plug.computed_value
else:
output -= input_plug.computed_value
except:
pass
output_plugs[0].computed_value = output
def generate_input(self, parent: DagNode, index: int) -> Plug:
plug = Plug.Create(
parent=parent,
name='[{0}]'.format(index),
display_name='[{0}]'.format(index),
value_type=Plug.VALUE_TYPE_FLOAT,
editable=True,
is_removable=True,
)
plug.default_value = 0.0
plug.computed_value = 0.0
return plug
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='difference', display_name='difference', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Output index "{0}" not supported.'.format(index))
def remove_plug(self, operator_instance: 'OperatorInstance', plug: 'Plug') -> None:
super(Subtract, self).remove_plug(operator_instance=operator_instance, plug=plug)
for index, plug in enumerate(operator_instance.inputs):
plug.name = '[{0}]'.format(index)
plug.display_name = '[{0}]'.format(index)
for plug in operator_instance.outputs:
plug.invalidate()
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
pass
class Remap(Operator):
def __init__(self):
super(Remap, self).__init__(
id='2405c02a-facc-47a6-80ef-d35d959b0cd4',
name='Remap',
required_inputs=5,
min_inputs=5,
max_inputs=5,
num_outputs=1
)
def _compute_outputs(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
result = 0.0
old_value = input_plugs[0].computed_value
try:
test = iter(old_value)
is_iterable = True
except TypeError:
is_iterable = False
if not is_iterable:
try:
old_min = input_plugs[1].computed_value
old_max = input_plugs[2].computed_value
new_min = input_plugs[3].computed_value
new_max = input_plugs[4].computed_value
result = ((old_value - old_min) / (old_max - old_min)) * (new_max - new_min) + new_min
except:
pass
else:
result = []
for o in old_value:
try:
old_min = input_plugs[1].computed_value
old_max = input_plugs[2].computed_value
new_min = input_plugs[3].computed_value
new_max = input_plugs[4].computed_value
result.append(((o - old_min) / (old_max - old_min)) * (new_max - new_min) + new_min)
except:
pass
output_plugs[0].computed_value = result
def generate_input(self, parent: DagNode, index: int) -> Plug:
if index == 0:
plug = Plug.Create(parent=parent, name='value', display_name='Value', value_type=Plug.VALUE_TYPE_ANY)
plug.default_value = 0
plug.computed_value = 0
return plug
if index == 1:
plug = Plug.Create(parent=parent, name='old_min', display_name='Old Min', value_type=Plug.VALUE_TYPE_FLOAT)
plug.is_editable = True
plug.default_value = 0
plug.computed_value = 0
return plug
if index == 2:
plug = Plug.Create(parent=parent, name='old_max', display_name='Old Max', value_type=Plug.VALUE_TYPE_FLOAT)
plug.is_editable = True
plug.default_value = 1
plug.computed_value = 1
return plug
if index == 3:
plug = Plug.Create(parent=parent, name='new_min', display_name='New Min', value_type=Plug.VALUE_TYPE_FLOAT)
plug.is_editable = True
plug.default_value = 0
plug.computed_value = 0
return plug
if index == 4:
plug = Plug.Create(parent=parent, name='new_max', display_name='New Max', value_type=Plug.VALUE_TYPE_FLOAT)
plug.is_editable = True
plug.default_value = 10
plug.computed_value = 10
return plug
raise Exception('Input index "{0}" not supported.'.format(index))
def generate_output(self, parent: DagNode, index: int) -> Plug:
if index == 0:
return Plug.Create(parent=parent, name='remapped_value', display_name='Remapped Value', value_type=Plug.VALUE_TYPE_FLOAT)
raise Exception('Output index "{0}" not supported.'.format(index))
def _prepare_plugs_for_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
input_plugs[0].computed_value = 0.5
input_plugs[1].computed_value = 0
input_plugs[2].computed_value = 1
input_plugs[3].computed_value = 1
input_plugs[4].computed_value = 0
def _assert_test(self, input_plugs: typing.List[Plug], output_plugs: typing.List[Plug]):
if not output_plugs[0].computed_value == 0.5:
raise Exception('Test failed.') |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/singleton.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
def Singleton(class_):
"""A singleton decorator"""
instances = {}
def getinstance(*args, **kwargs):
if class_ not in instances:
instances[class_] = class_(*args, **kwargs)
return instances[class_]
return getinstance
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/generator/util.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import sys
import typing
from ..data import Library, Target
from .core import IGenerator
__generators: typing.List['IGenerator'] = []
def register(generator: IGenerator) -> typing.NoReturn:
""" Registers the generator at the top of the internal list - overriding previously registered generators - for future queries and processes. """
generators = getattr(sys.modules[__name__], '__generators')
if generator not in generators:
generators.insert(0, generator)
def un_register(generator: IGenerator) -> typing.NoReturn:
""" Removes the generator from internal list of generators and will ignore it for future queries and processes. """
generators = getattr(sys.modules[__name__], '__generators')
if generator in generators:
generators.remove(generator)
def can_generate_target(class_name: str) -> bool:
""" """
generators = getattr(sys.modules[__name__], '__generators')
for generator in generators:
if generator.can_generate_target(class_name=class_name):
return True
return False
def generate_target(class_name: str) -> typing.Tuple[Library, Target]:
""" """
generators = getattr(sys.modules[__name__], '__generators')
for generator in generators:
if generator.can_generate_target(class_name=class_name):
print('UMM using generator "{0}" for class_name "{1}".'.format(generator, class_name))
return generator.generate_target(class_name=class_name)
raise Exception('Registered generators does not support action.')
def generate_targets() -> typing.List[typing.Tuple[Library, Target]]:
""" Generates targets from all registered workers that are able to. """
targets = []
generators = getattr(sys.modules[__name__], '__generators')
for generator in generators:
if generator.can_generate_targets():
print('UMM using generator "{0}" for generating targets.'.format(generator))
targets.extend(generator.generate_targets())
return targets
def can_generate_target_from_instance(instance: object) -> bool:
""" """
generators = getattr(sys.modules[__name__], '__generators')
for generator in generators:
if generator.can_generate_target_from_instance(instance=instance):
return True
return False
def generate_target_from_instance(instance: object) -> typing.List[typing.Tuple[Library, Target]]:
""" Generates targets from all registered workers that are able to. """
generators = getattr(sys.modules[__name__], '__generators')
for generator in generators:
if generator.can_generate_target_from_instance(instance=instance):
print('UMM using generator "{0}" for instance "{1}".'.format(generator, instance))
return generator.generate_target_from_instance(instance=instance)
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/generator/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/generator/core.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
from abc import ABCMeta, abstractmethod
import typing
from ..data import Library, Target
class IGenerator(metaclass=ABCMeta):
""" """
@abstractmethod
def __init__(self):
super(IGenerator, self).__init__()
@abstractmethod
def can_generate_target(self, class_name: str) -> bool:
""" """
pass
@abstractmethod
def generate_target(self, class_name: str) -> typing.Tuple[Library, Target]:
""" """
pass
@abstractmethod
def can_generate_targets(self) -> bool:
""" """
pass
@abstractmethod
def generate_targets(self) -> typing.List[typing.Tuple[Library, Target]]:
""" """
pass
@abstractmethod
def can_generate_target_from_instance(self, instance: object) -> bool:
""" """
pass
@abstractmethod
def generate_target_from_instance(self, instance: object) -> typing.Tuple[Library, Target]:
""" """
pass
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/converter/util.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
"""
Convert Queries & Actions
#########################
DCC Connectors and other conversion solutions will want to use this module.
There are three different conversion strategies available:
1. Source *class* and *data*.
The framework finds a suitable conversion template and returns data indicating a *target class* and data for setting its attributes.
For example:
.. code::
from omni.universalmaterialmap.core.converter import util
if util.can_convert_data_to_data(
class_name='lambert',
render_context='MDL',
source_data=[
('color', 'color_texture.png'),
('normalCamera', 'normal_texture.png')
]):
data = util.convert_data_to_data(
class_name='lambert',
render_context='MDL',
source_data=[
('color', 'color_texture.png'),
('normalCamera', 'normal_texture.png')
]
)
...could return:
.. code::
[
('umm_target_class', 'omnipbr'),
('diffuse_texture', 'color_texture.png'),
('normalmap_texture', 'normal_texture.png'),
]
Note that the first value pair :code:`('umm_target_class', 'omnipbr')` indicates the object class that should be used for conversion. All other value pairs indicate attribute names and attribute values.
Using this strategy puts very little responsibility on the conversion workers to understand assets. They merely have to apply the arguments to a conversion template, compute the internal graph, and spit out the results.
It also means that the solution invoking the converter will have to gather the necessary arguments from some object or data source.
2. Source *instance* into conversion data.
Here we use an object instance in order to get the same data as in strategy #1 above.
For example:
.. code::
from omni.universalmaterialmap.core.converter import util
if util.can_convert_instance(
instance=MyLambertPyNode,
render_context='MDL'):
data = util.convert_instance_to_data(
instance=MyLambertPyNode,
render_context='MDL'
)
...could return:
.. code::
[
('umm_target_class', 'omnipbr'),
('diffuse_texture', 'color_texture.png'),
('normalmap_texture', 'normal_texture.png'),
]
Note that the first value pair :code:`('umm_target_class', 'omnipbr')` indicates the object class that should be used for conversion. All other value pairs indicate attribute names and attribute values.
The advantage here is that the user of the framework can rely on a converter's understanding of objects and attributes.
The downside is that there has to be an actual asset or dependency graph loaded.
3. Source *instance* into converted object.
In this approach the converter will create a new object and set its properties/attributes based on a conversion template.
For example:
.. code::
from omni.universalmaterialmap.core.converter import util
if util.can_convert_instance(
instance=MyLambertPyNode,
render_context='MDL'):
node = util.convert_instance_to_instance(
instance=MyLambertPyNode,
render_context='MDL'
)
...could create and return an MDL material in the current Maya scene.
Manifest Query
##############
Module has methods for querying its conversion capabilities as indicated by library manifests.
This could be useful when wanting to expose commands for converting assets within a DCC application scene.
Note that this API does not require any data or object instance argument. It's a more *general* query.
.. code::
from omni.universalmaterialmap.core.converter import util
manifest = util.get_conversion_manifest()
# Returns data indicating what source class can be converted to a render context.
#
# Example:
# [
# ('lambert', 'MDL'),
# ('blinn', 'MDL'),
# ]
if (my_class_name, 'MDL') in manifest:
# Do something
"""
import sys
import typing
import traceback
from .. import data
from .core import ICoreConverter, IDataConverter, IObjectConverter
_debug_mode = False
__converters: typing.List['ICoreConverter'] = []
TARGET_CLASS_IDENTIFIER = 'umm_target_class'
def register(converter: ICoreConverter) -> typing.NoReturn:
""" Registers the converter at the top of the internal list - overriding previously registered converters - for future queries and processes. """
converters = getattr(sys.modules[__name__], '__converters')
if converter not in converters:
if _debug_mode:
print('UMM: core.converter.util: Registering converter: "{0}"'.format(converter))
converters.insert(0, converter)
elif _debug_mode:
print('UMM: core.converter.util: Not registering converter because it is already registered: "{0}"'.format(converter))
def un_register(converter: ICoreConverter) -> typing.NoReturn:
""" Removes the converter from internal list of converters and will ignore it for future queries and processes. """
converters = getattr(sys.modules[__name__], '__converters')
if converter in converters:
if _debug_mode:
print('UMM: core.converter.util: un-registering converter: "{0}"'.format(converter))
converters.remove(converter)
elif _debug_mode:
print('UMM: core.converter.util: Not un-registering converter because it not registered to begin with: "{0}"'.format(converter))
def can_create_instance(class_name: str) -> bool:
""" Resolves if a converter can create a node. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_create_instance(class_name=class_name):
if _debug_mode:
print('UMM: core.converter.util: converter can create instance: "{0}"'.format(converter))
return True
if _debug_mode:
print('UMM: core.converter.util: no converter can create instance.')
return False
def create_instance(class_name: str) -> object:
""" Creates an asset using the first converter in the internal list that supports the class_name. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_create_instance(class_name=class_name):
if _debug_mode:
print('UMM: core.converter.util: converter creating instance: "{0}"'.format(converter))
return converter.create_instance(class_name=class_name)
raise Exception('Registered converters does not support class "{0}".'.format(class_name))
def can_set_plug_value(instance: object, plug: data.Plug) -> bool:
""" Resolves if a converter can set the plug's value given the instance and its attributes. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if _debug_mode:
print('UMM: core.converter.util: converter can set plug value: "{0}"'.format(converter))
if converter.can_set_plug_value(instance=instance, plug=plug):
return True
if _debug_mode:
print('UMM: core.converter.util: converter cannot set plug value given instance "{0}" and plug "{1}"'.format(instance, plug))
return False
def set_plug_value(instance: object, plug: data.Plug) -> typing.NoReturn:
""" Sets the plug's value given the value of the instance's attribute named the same as the plug. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_set_plug_value(instance=instance, plug=plug):
if _debug_mode:
print('UMM: core.converter.util: converter setting plug value: "{0}"'.format(converter))
return converter.set_plug_value(instance=instance, plug=plug)
raise Exception('Registered converters does not support action.')
def can_set_instance_attribute(instance: object, name: str) -> bool:
""" Resolves if a converter can set an attribute by the given name on the instance. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if _debug_mode:
print('UMM: core.converter.util: converter can set instance attribute: "{0}", "{1}", "{2}"'.format(converter, instance, name))
if converter.can_set_instance_attribute(instance=instance, name=name):
return True
if _debug_mode:
print('UMM: core.converter.util: cannot set instance attribute: "{0}", "{1}"'.format(instance, name))
return False
def set_instance_attribute(instance: object, name: str, value: typing.Any) -> typing.NoReturn:
""" Sets the named attribute on the instance to the value. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_set_instance_attribute(instance=instance, name=name):
if _debug_mode:
print('UMM: core.converter.util: converter setting instance attribute: "{0}", "{1}", "{2}", "{3}"'.format(converter, instance, name, value))
return converter.set_instance_attribute(instance=instance, name=name, value=value)
raise Exception('Registered converters does not support action.')
def can_convert_instance(instance: object, render_context: str) -> bool:
""" Resolves if a converter can convert the instance to another object given the render_context. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if _debug_mode:
print('UMM: core.converter.util: converter can convert instance: "{0}", "{1}", "{2}"'.format(converter, instance, render_context))
if converter.can_convert_instance(instance=instance, render_context=render_context):
return True
return False
def convert_instance_to_instance(instance: object, render_context: str) -> typing.Any:
""" Interprets the instance and instantiates another object given the render_context. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_convert_instance(instance=instance, render_context=render_context):
if _debug_mode:
print('UMM: core.converter.util: converter converting instance: "{0}", "{1}", "{2}"'.format(converter, instance, render_context))
return converter.convert_instance_to_instance(instance=instance, render_context=render_context)
raise Exception('Registered converters does not support action.')
def can_convert_instance_to_data(instance: object, render_context: str) -> bool:
""" Resolves if a converter can convert the instance to another object given the render_context. """
try:
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_convert_instance_to_data(instance=instance, render_context=render_context):
return True
except Exception as error:
print('Warning: Universal Material Map: function "can_convert_instance_to_data": Unexpected error:')
print('\targument "instance" = "{0}"'.format(instance))
print('\targument "render_context" = "{0}"'.format(render_context))
print('\terror: {0}'.format(error))
print('\tcallstack: {0}'.format(traceback.format_exc()))
return False
def convert_instance_to_data(instance: object, render_context: str) -> typing.List[typing.Tuple[str, typing.Any]]:
"""
Returns a list of key value pairs in tuples.
The first pair is ("umm_target_class", "the_class_name") indicating the conversion target class.
"""
try:
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_convert_instance_to_data(instance=instance, render_context=render_context):
result = converter.convert_instance_to_data(instance=instance, render_context=render_context)
print('Universal Material Map: convert_instance_to_data({0}, "{1}") generated data:'.format(instance, render_context))
print('\t(')
for o in result:
print('\t\t{0}'.format(o))
print('\t)')
return result
except Exception as error:
print('Warning: Universal Material Map: function "convert_instance_to_data": Unexpected error:')
print('\targument "instance" = "{0}"'.format(instance))
print('\targument "render_context" = "{0}"'.format(render_context))
print('\terror: {0}'.format(error))
print('\tcallstack: {0}'.format(traceback.format_exc()))
result = dict()
result['umm_notification'] = 'unexpected_error'
result['message'] = 'Not able to convert "{0}" for render context "{1}" because there was an unexpected error. Details: {2}'.format(instance, render_context, error)
return result
raise Exception('Registered converters does not support action.')
def can_convert_attribute_values(instance: object, render_context: str, destination: object) -> bool:
""" Resolves if the instance's attribute values can be converted and set on the destination object's attributes. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_convert_attribute_values(instance=instance, render_context=render_context, destination=destination):
return True
return False
def convert_attribute_values(instance: object, render_context: str, destination: object) -> typing.NoReturn:
""" Attribute values are converted and set on the destination object's attributes. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_convert_attribute_values(instance=instance, render_context=render_context, destination=destination):
return converter.convert_attribute_values(instance=instance, render_context=render_context, destination=destination)
raise Exception('Registered converters does not support action.')
def can_convert_data_to_data(class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]]) -> bool:
""" Resolves if a converter can convert the given class and source_data to another class and target data. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IDataConverter):
if converter.can_convert_data_to_data(class_name=class_name, render_context=render_context, source_data=source_data):
return True
return False
def convert_data_to_data(class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]]) -> typing.List[typing.Tuple[str, typing.Any]]:
"""
Returns a list of key value pairs in tuples.
The first pair is ("umm_target_class", "the_class_name") indicating the conversion target class.
"""
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IDataConverter):
if converter.can_convert_data_to_data(class_name=class_name, render_context=render_context, source_data=source_data):
result = converter.convert_data_to_data(class_name=class_name, render_context=render_context, source_data=source_data)
print('Universal Material Map: convert_data_to_data("{0}", "{1}") generated data:'.format(class_name, render_context))
print('\t(')
for o in result:
print('\t\t{0}'.format(o))
print('\t)')
return result
raise Exception('Registered converters does not support action.')
def can_apply_data_to_instance(source_class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]], instance: object) -> bool:
""" Resolves if a converter can create one or more instances given the arguments. """
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_apply_data_to_instance(source_class_name=source_class_name, render_context=render_context, source_data=source_data, instance=instance):
return True
return False
def apply_data_to_instance(source_class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]], instance: object) -> dict:
"""
Returns a list of created objects.
"""
try:
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
if isinstance(converter, IObjectConverter):
if converter.can_apply_data_to_instance(source_class_name=source_class_name, render_context=render_context, source_data=source_data, instance=instance):
converter.apply_data_to_instance(source_class_name=source_class_name, render_context=render_context, source_data=source_data, instance=instance)
print('Universal Material Map: apply_data_to_instance("{0}", "{1}") completed.'.format(instance, render_context))
result = dict()
result['umm_notification'] = 'success'
result['message'] = 'Material conversion data applied to "{0}".'.format(instance)
return result
result = dict()
result['umm_notification'] = 'incomplete_process'
result['message'] = 'Not able to convert type "{0}" for render context "{1}" because there is no Conversion Graph for that scenario. No changes were applied to "{2}".'.format(source_class_name, render_context, instance)
return result
except Exception as error:
print('UMM: Unexpected error: {0}'.format(traceback.format_exc()))
result = dict()
result['umm_notification'] = 'unexpected_error'
result['message'] = 'Not able to convert type "{0}" for render context "{1}" because there was an unexpected error. Some changes may have been applied to "{2}". Details: {3}'.format(source_class_name, render_context, instance, error)
return result
def get_conversion_manifest() -> typing.List[typing.Tuple[str, str]]:
"""
Returns data indicating what source class can be converted to a render context.
Example: [('lambert', 'MDL'), ('blinn', 'MDL'),]
"""
manifest: typing.List[typing.Tuple[str, str]] = []
converters = getattr(sys.modules[__name__], '__converters')
for converter in converters:
manifest.extend(converter.get_conversion_manifest())
return manifest
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/converter/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/converter/core.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
from abc import ABCMeta, abstractmethod
import typing
from ..data import Plug
class ICoreConverter(metaclass=ABCMeta):
""" """
@abstractmethod
def __init__(self):
super(ICoreConverter, self).__init__()
@abstractmethod
def get_conversion_manifest(self) -> typing.List[typing.Tuple[str, str]]:
"""
Returns data indicating what source class can be converted to a render context.
Example: [('lambert', 'MDL'), ('blinn', 'MDL'),]
"""
raise NotImplementedError()
class IObjectConverter(ICoreConverter):
""" """
@abstractmethod
def can_create_instance(self, class_name: str) -> bool:
""" Returns true if worker can generate an object of the given class name. """
raise NotImplementedError()
@abstractmethod
def create_instance(self, class_name: str) -> object:
""" Creates an object of the given class name. """
raise NotImplementedError()
@abstractmethod
def can_set_plug_value(self, instance: object, plug: Plug) -> bool:
""" Returns true if worker can set the plug's value given the instance and its attributes. """
raise NotImplementedError()
@abstractmethod
def set_plug_value(self, instance: object, plug: Plug) -> typing.NoReturn:
""" Sets the plug's value given the value of the instance's attribute named the same as the plug. """
raise NotImplementedError()
@abstractmethod
def can_set_instance_attribute(self, instance: object, name: str):
""" Resolves if worker can set an attribute by the given name on the instance. """
return False
@abstractmethod
def set_instance_attribute(self, instance: object, name: str, value: typing.Any) -> typing.NoReturn:
""" Sets the named attribute on the instance to the value. """
raise NotImplementedError()
@abstractmethod
def can_convert_instance(self, instance: object, render_context: str) -> bool:
""" Resolves if worker can convert the instance to another object given the render_context. """
return False
@abstractmethod
def convert_instance_to_instance(self, instance: object, render_context: str) -> typing.Any:
""" Converts the instance to another object given the render_context. """
raise NotImplementedError()
@abstractmethod
def can_convert_instance_to_data(self, instance: object, render_context: str) -> bool:
""" Resolves if worker can convert the instance to another object given the render_context. """
return False
@abstractmethod
def convert_instance_to_data(self, instance: object, render_context: str) -> typing.List[typing.Tuple[str, typing.Any]]:
"""
Returns a list of key value pairs in tuples.
The first pair is ("umm_target_class", "the_class_name") indicating the conversion target class.
"""
raise NotImplementedError()
@abstractmethod
def can_convert_attribute_values(self, instance: object, render_context: str, destination: object) -> bool:
""" Resolves if the instance's attribute values can be converted and set on the destination object's attributes. """
raise NotImplementedError()
@abstractmethod
def convert_attribute_values(self, instance: object, render_context: str, destination: object) -> typing.NoReturn:
""" Attribute values are converted and set on the destination object's attributes. """
raise NotImplementedError()
@abstractmethod
def can_apply_data_to_instance(self, source_class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]], instance: object) -> bool:
""" Resolves if worker can convert the instance to another object given the render_context. """
return False
@abstractmethod
def apply_data_to_instance(self, source_class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]], instance: object) -> dict:
"""
Returns a notification object
Examples:
{
'umm_notification': "success",
'message': "Material \"Material_A\" was successfully converted from \"OmniPBR\" data."
}
{
'umm_notification': "incomplete_process",
'message': "Not able to convert \"Material_B\" using \"CustomMDL\" since there is no Conversion Graph supporting that scenario."
}
{
'umm_notification': "unexpected_error",
'message': "Not able to convert \"Material_C\" using \"OmniGlass\" due to an unexpected error. Details: \"cannot set property to None\"."
}
"""
raise NotImplementedError()
class IDataConverter(ICoreConverter):
""" """
@abstractmethod
def can_convert_data_to_data(self, class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]]) -> bool:
""" Resolves if worker can convert the given class and source_data to another class and target data. """
return False
@abstractmethod
def convert_data_to_data(self, class_name: str, render_context: str, source_data: typing.List[typing.Tuple[str, typing.Any]]) -> typing.List[typing.Tuple[str, typing.Any]]:
"""
Returns a list of key value pairs in tuples.
The first pair is ("umm_target_class", "the_class_name") indicating the conversion target class.
"""
raise NotImplementedError()
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/store.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import typing
import os
import uuid
import traceback
from .. import data
from .. import operator
from ..feature import POLLING
from ..singleton import Singleton
from .core import ChangeEvent, IDelegate
from .delegate import Filesystem, FilesystemManifest, FilesystemSettings
from .resources import install
COMMON_LIBRARY_ID = '327ef29b-8358-441b-b2f0-4a16a9afd349'
libraries_directory = os.path.expanduser('~').replace('\\', '/')
if not libraries_directory.endswith('/Documents'):
# os.path.expanduser() has different behaviour between 2.7 and 3
libraries_directory = '{0}/Documents'.format(libraries_directory)
libraries_directory = '{0}/Omniverse'.format(libraries_directory)
common_library_directory = '{0}/ConnectorCommon/UMMLibrary'.format(libraries_directory)
cache_directory = '{0}/Cache'.format(common_library_directory)
COMMON_LIBRARY = data.Library.Create(
library_id=COMMON_LIBRARY_ID,
name='Common',
manifest=FilesystemManifest(root_directory='{0}'.format(common_library_directory)),
conversion_graph=Filesystem(root_directory='{0}/ConversionGraph'.format(common_library_directory)),
target=Filesystem(root_directory='{0}/Target'.format(common_library_directory)),
settings=FilesystemSettings(root_directory='{0}'.format(common_library_directory)),
)
DEFAULT_LIBRARIES = [COMMON_LIBRARY]
class _ItemProvider(object):
""" Class provides IO interface for a single UMM Library item. """
def __init__(self, identifier: str, library_delegate: IDelegate = None, cache_delegate: IDelegate = None):
super(_ItemProvider, self).__init__()
self._library_delegate: typing.Union[IDelegate, typing.NoReturn] = library_delegate
self._cache_delegate: typing.Union[IDelegate, typing.NoReturn] = cache_delegate
self._identifier: str = identifier
self._file_util: typing.Union[data.FileUtility, typing.NoReturn] = None
self._content_cache: dict = dict()
def revert(self) -> None:
if self._file_util:
self._file_util.content.deserialize(data=self._content_cache)
def has_unsaved_changes(self) -> bool:
if not self._file_util:
return False
return not self._file_util.content.serialize() == self._content_cache
def read(self, update: bool = False) -> None:
"""
TODO: Check if path has changed since last read from disk.
"""
if not self._library_delegate and not self._cache_delegate:
raise Exception('Not supported: No delegate available to read().')
# update_cache() assumes that read() prioritizes reading with library delegate!
delegate = self._library_delegate if self._library_delegate else self._cache_delegate
if not self._file_util:
contents = delegate.read(identifier=self._identifier)
if contents is not None:
self._file_util = data.FileUtility.FromData(data=contents)
self._update_content_cache()
elif update:
contents = delegate.read(identifier=self._identifier)
self._file_util.content.deserialize(data=contents)
def create(self, instance: data.Serializable) -> None:
self._file_util = data.FileUtility.FromInstance(instance=instance)
self.write()
def write(self, content: data.Serializable = None) -> None:
if not self._library_delegate and not self._cache_delegate:
raise Exception('Not supported: No delegate available to write().')
if content:
if not self._file_util:
self._file_util = data.FileUtility.FromInstance(instance=content)
else:
self._file_util._content = content
elif not self._file_util:
raise Exception('Not supported: _ItemProvider not initialized properly prior to "write()"')
contents = self._file_util.serialize()
if self._library_delegate:
self._library_delegate.write(identifier=self._identifier, contents=contents)
if self._cache_delegate:
self._cache_delegate.write(identifier=self._identifier, contents=contents)
self._update_content_cache()
def delete(self) -> None:
if not self._library_delegate and not self._cache_delegate:
raise Exception('Not supported: No delegate available to delete().')
if self._library_delegate:
self._library_delegate.delete(identifier=self._identifier)
if self._cache_delegate:
self._cache_delegate.delete(identifier=self._identifier)
self._file_util = None
self._content_cache = None
def _update_content_cache(self) -> None:
if not self._file_util:
self._content_cache = dict()
else:
self._content_cache = self._file_util.content.serialize()
def update_cache(self) -> bool:
if not self._library_delegate or not self._cache_delegate:
return False
# Assumes that read() prioritizes reading with library delegate!
try:
self.read()
except Exception as error:
print('Warning: Universal Material Map error reading data with identifier "{0}". Cache will not be updated due to the read error.\n\tDetails: "{1}".\n\tCallstack: {2}'.format(self._identifier, error, traceback.format_exc()))
return False
self._cache_delegate.write(identifier=self._identifier, contents=self._file_util.serialize())
def on_shutdown(self):
self._cache_delegate = None
self._library_delegate = None
self._identifier = None
self._file_util = None
self._content_cache = None
@property
def content(self) -> data.Serializable:
return self._file_util.content
class _LibraryProvider(object):
""" Class provides IO interface for a single UMM Library. """
@staticmethod
def _transfer_data(source: IDelegate, target: IDelegate) -> bool:
""" Returns True if transfer was made. """
if not source or not target:
return False
for identifier in source.get_ids():
target.write(identifier=identifier, contents=source.read(identifier=identifier))
return True
def __init__(self, library: data.Library):
super(_LibraryProvider, self).__init__()
self._library: data.Library = library
if POLLING:
self._manifest_subscription: uuid.uuid4 = None
self._conversion_graph_subscription: uuid.uuid4 = None
self._target_subscription: uuid.uuid4 = None
self._manifest_cache: typing.Union[IDelegate, typing.NoReturn] = None
self._conversion_graph_cache: typing.Union[IDelegate, typing.NoReturn] = None
self._target_cache: typing.Union[IDelegate, typing.NoReturn] = None
self._settings_cache: typing.Union[IDelegate, typing.NoReturn] = None
self._manifest_providers: typing.Dict[str, _ItemProvider] = dict()
self._conversion_graph_providers: typing.Dict[str, _ItemProvider] = dict()
self._target_providers: typing.Dict[str, _ItemProvider] = dict()
self._settings_providers: typing.Dict[str, _ItemProvider] = dict()
self._initialize()
def _initialize(self) -> None:
cache: _ItemProvider
for cache in self._manifest_providers.values():
cache.on_shutdown()
for cache in self._conversion_graph_providers.values():
cache.on_shutdown()
for cache in self._target_providers.values():
cache.on_shutdown()
for cache in self._settings_providers.values():
cache.on_shutdown()
self._manifest_providers = dict()
self._conversion_graph_providers = dict()
self._target_providers = dict()
self._settings_providers = dict()
if not self._library:
return
if not self._library.id == COMMON_LIBRARY_ID:
self._manifest_cache = FilesystemManifest(
root_directory='{0}/{1}'.format(cache_directory, self._library.id)
)
self._conversion_graph_cache = Filesystem(
root_directory='{0}/{1}/ConversionGraph'.format(cache_directory, self._library.id)
)
self._target_cache = Filesystem(
root_directory='{0}/{1}/Target'.format(cache_directory, self._library.id)
)
self._settings_cache = FilesystemSettings(
root_directory='{0}/{1}'.format(cache_directory, self._library.id)
)
if not self._library.id == COMMON_LIBRARY_ID and not self._library.is_read_only:
self._update_cache()
def _update_cache(self) -> None:
if self._library.is_read_only:
return
self._update_cache_table(
source=self._library.manifest,
target=self._manifest_cache,
providers=self._manifest_providers,
)
self._update_cache_table(
source=self._library.conversion_graph,
target=self._conversion_graph_cache,
providers=self._conversion_graph_providers,
)
self._update_cache_table(
source=self._library.target,
target=self._target_cache,
providers=self._target_providers,
)
self._update_cache_table(
source=self._library.settings,
target=self._settings_cache,
providers=self._settings_providers,
)
def _update_cache_table(self, source: IDelegate, target: IDelegate, providers: dict) -> None:
if self._library.is_read_only:
return
if not source or not target:
return
for identifier in source.get_ids():
if identifier not in providers.keys():
provider = _ItemProvider(
identifier=identifier,
library_delegate=source,
cache_delegate=target
)
providers[identifier] = provider
else:
provider = providers[identifier]
provider.update_cache()
def get_settings(self) -> typing.List[data.Settings]:
if not self._library.settings:
return []
settings: typing.List[data.Settings] = []
for identifier in self._library.settings.get_ids():
if identifier not in self._settings_providers.keys():
cache = _ItemProvider(
identifier=identifier,
library_delegate=self._library.settings,
cache_delegate=self._settings_cache
)
self._settings_providers[identifier] = cache
else:
cache = self._settings_providers[identifier]
cache.read()
setting = typing.cast(data.Settings, cache.content)
settings.append(setting)
return settings
def get_manifests(self) -> typing.List[data.ConversionManifest]:
delegate = self._library.manifest if self._library.manifest else self._manifest_cache
if not delegate:
return []
manifests: typing.List[data.ConversionManifest] = []
conversion_graphs: typing.List[data.ConversionGraph] = None
for identifier in delegate.get_ids():
if identifier not in self._manifest_providers.keys():
cache = _ItemProvider(
identifier=identifier,
library_delegate=self._library.manifest,
cache_delegate=self._manifest_cache
)
self._manifest_providers[identifier] = cache
else:
cache = self._manifest_providers[identifier]
cache.read()
manifest = typing.cast(data.ConversionManifest, cache.content)
if not conversion_graphs:
conversion_graphs = self.get_conversion_graphs()
for item in manifest.conversion_maps:
if not item._conversion_graph:
for conversion_graph in conversion_graphs:
if conversion_graph.id == item.conversion_graph_id:
item._conversion_graph = conversion_graph
break
manifests.append(manifest)
if POLLING:
if self._library.manifest and not self._manifest_subscription:
self._manifest_subscription = self._library.manifest.add_change_subscription(callback=self._on_store_manifest_changes)
return manifests
def get_conversion_graphs(self) -> typing.List[data.ConversionGraph]:
delegate = self._library.conversion_graph if self._library.conversion_graph else self._conversion_graph_cache
if not delegate:
return []
conversion_graphs: typing.List[data.ConversionGraph] = []
for identifier in delegate.get_ids():
if identifier not in self._conversion_graph_providers.keys():
cache = _ItemProvider(
identifier=identifier,
library_delegate=self._library.conversion_graph,
cache_delegate=self._conversion_graph_cache
)
try:
cache.read()
except Exception as error:
print('Warning: Universal Material Map error reading Conversion Graph data with identifier "{0}". Graph will not be available for use inside UMM.\n\tDetails: "{1}".\n\tCallstack: {2}'.format(identifier, error, traceback.format_exc()))
continue
self._conversion_graph_providers[identifier] = cache
else:
cache = self._conversion_graph_providers[identifier]
try:
cache.read()
except Exception as error:
print('Warning: Universal Material Map error reading Conversion Graph data with identifier "{0}". Graph will not be available for use inside UMM.\n\tDetails: "{1}".\n\tCallstack: {2}'.format(identifier, error, traceback.format_exc()))
continue
conversion_graph = typing.cast(data.ConversionGraph, cache.content)
conversion_graph._library = self._library
conversion_graph.filename = identifier
conversion_graph._exists_on_disk = True
conversion_graphs.append(conversion_graph)
if POLLING:
if self._library.conversion_graph and not self._conversion_graph_subscription:
self._conversion_graph_subscription = self._library.conversion_graph.add_change_subscription(callback=self._on_store_conversion_graph_changes)
return conversion_graphs
def get_targets(self) -> typing.List[data.Target]:
delegate = self._library.target if self._library.target else self._target_cache
if not delegate:
return []
targets: typing.List[data.Target] = []
for identifier in delegate.get_ids():
if identifier not in self._target_providers.keys():
cache = _ItemProvider(
identifier=identifier,
library_delegate=self._library.target,
cache_delegate=self._target_cache
)
self._target_providers[identifier] = cache
else:
cache = self._target_providers[identifier]
cache.read()
target = typing.cast(data.Target, cache.content)
target.store_id = identifier
targets.append(target)
if POLLING:
if self._library.target and not self._target_subscription:
self._target_subscription = self._library.target.add_change_subscription(callback=self._on_store_target_changes)
return targets
def _on_store_manifest_changes(self, event: ChangeEvent) -> None:
if not POLLING:
raise NotImplementedError()
print('_on_store_manifest_changes', event)
def _on_store_conversion_graph_changes(self, event: ChangeEvent) -> None:
if not POLLING:
raise NotImplementedError()
print('_on_store_conversion_graph_changes', event)
def _on_store_target_changes(self, event: ChangeEvent) -> None:
if not POLLING:
raise NotImplementedError()
print('_on_store_target_changes...', event, self)
def revert(self, item: data.Serializable) -> bool:
"""
Returns True if the item existed in a data store and was successfully reverted.
"""
if isinstance(item, data.ConversionGraph):
if item.filename not in self._conversion_graph_providers.keys():
return False
filename = item.filename
library = item.library
cache = self._conversion_graph_providers[item.filename]
cache.revert()
item.filename = filename
item._library = library
item._exists_on_disk = True
return True
if isinstance(item, data.Target):
if item.store_id not in self._target_providers.keys():
return False
cache = self._target_providers[item.store_id]
cache.revert()
return True
if isinstance(item, data.ConversionManifest):
if item.store_id not in self._manifest_providers.keys():
return False
cache = self._manifest_providers[item.store_id]
cache.revert()
return True
if isinstance(item, data.Settings):
if item.store_id not in self._settings_providers.keys():
return False
cache = self._settings_providers[item.store_id]
cache.revert()
return True
def write(self, item: data.Serializable, identifier: str = None, overwrite: bool = False) -> None:
if isinstance(item, data.Settings):
if not item.store_id:
raise Exception('Not supported: Settings must have a valid store id in order to write the item.')
if not self._library.settings:
raise Exception('Library "{0}" with id="{1}" does not support a Settings store.'.format(self._library.name, self._library.id))
if item.store_id not in self._settings_providers.keys():
cache = _ItemProvider(
identifier=item.store_id,
library_delegate=self._library.settings,
cache_delegate=self._settings_cache
)
self._settings_providers[item.store_id] = cache
else:
if not overwrite:
return
cache = self._settings_providers[item.store_id]
cache.write(content=item)
return
if isinstance(item, data.ConversionManifest):
if not item.store_id:
raise Exception('Not supported: Conversion Manifest must have a valid store id in order to write the item.')
if item.store_id not in self._manifest_providers.keys():
cache = _ItemProvider(
identifier=item.store_id,
library_delegate=self._library.manifest,
cache_delegate=self._manifest_cache
)
self._manifest_providers[item.store_id] = cache
else:
if not overwrite:
return
cache = self._manifest_providers[item.store_id]
cache.write(content=item)
return
if isinstance(item, data.ConversionGraph):
if not item.filename and not identifier:
raise Exception('Not supported: Conversion Manifest must have a valid store id in order to write the item.')
key = identifier if identifier else item.filename
if key not in self._conversion_graph_providers.keys():
cache = _ItemProvider(
identifier=key,
library_delegate=self._library.conversion_graph,
cache_delegate=self._conversion_graph_cache
)
self._conversion_graph_providers[key] = cache
else:
if not overwrite:
return
cache = self._conversion_graph_providers[key]
item.revision += 1
cache.write(content=item)
if identifier:
item.filename = identifier
item._exists_on_disk = True
item._library = self._library
return
if isinstance(item, data.Target):
if not item.store_id:
raise Exception(
'Not supported: Conversion Manifest must have a valid store id in order to write the item.')
if item.store_id not in self._target_providers.keys():
cache = _ItemProvider(
identifier=item.store_id,
library_delegate=self._library.target,
cache_delegate=self._target_cache
)
self._target_providers[item.store_id] = cache
else:
if not overwrite:
return
cache = self._target_providers[item.store_id]
cache.write(content=item)
return
raise NotImplementedError()
def delete(self, item: data.Serializable) -> None:
if isinstance(item, data.Settings):
if not item.store_id:
raise Exception('Not supported: Settings must have a valid store id in order to write the item.')
if not self._library.settings:
raise Exception('Library "{0}" with id="{1}" does not support a Settings store.'.format(self._library.name, self._library.id))
if item.store_id not in self._settings_providers.keys():
return
cache = self._settings_providers[item.store_id]
cache.delete()
cache.on_shutdown()
del self._settings_providers[item.store_id]
return
if isinstance(item, data.ConversionManifest):
if not item.store_id:
raise Exception('Not supported: Conversion Manifest must have a valid store id in order to write the item.')
if item.store_id not in self._manifest_providers.keys():
return
cache = self._manifest_providers[item.store_id]
cache.delete()
cache.on_shutdown()
del self._manifest_providers[item.store_id]
return
if isinstance(item, data.ConversionGraph):
if not item.filename:
raise Exception('Not supported: Conversion Manifest must have a valid store id in order to write the item.')
if item.filename not in self._conversion_graph_providers.keys():
return
cache = self._conversion_graph_providers[item.filename]
cache.delete()
cache.on_shutdown()
del self._conversion_graph_providers[item.filename]
return
if isinstance(item, data.Target):
if not item.store_id:
raise Exception(
'Not supported: Conversion Manifest must have a valid store id in order to write the item.')
if item.store_id not in self._target_providers.keys():
return
cache = self._target_providers[item.store_id]
cache.write(content=item)
cache.on_shutdown()
del self._target_providers[item.store_id]
return
raise NotImplementedError()
def can_show_in_store(self, item: data.Serializable) -> bool:
if isinstance(item, data.ConversionGraph):
delegate = self._library.conversion_graph if self._library.conversion_graph else self._conversion_graph_cache
if not delegate:
return False
return delegate.can_show_in_store(identifier=item.filename)
if isinstance(item, data.Target):
delegate = self._library.target if self._library.target else self._target_cache
if not delegate:
return False
return delegate.can_show_in_store(identifier=item.store_id)
return False
def show_in_store(self, item: data.Serializable) -> None:
if isinstance(item, data.ConversionGraph):
delegate = self._library.conversion_graph if self._library.conversion_graph else self._conversion_graph_cache
if not delegate:
return
return delegate.show_in_store(identifier=item.filename)
if isinstance(item, data.Target):
delegate = self._library.target if self._library.target else self._target_cache
if not delegate:
return
return delegate.show_in_store(identifier=item.store_id)
@property
def library(self) -> data.Library:
return self._library
@library.setter
def library(self, value: data.Library) -> None:
if self._library == value:
return
if POLLING:
if self._library:
if self._manifest_subscription and self._library.manifest:
self._library.manifest.remove_change_subscription(subscription_id=self._manifest_subscription)
if self._conversion_graph_subscription and self._library.conversion_graph:
self._library.conversion_graph.remove_change_subscription(subscription_id=self._conversion_graph_subscription)
if self._target_subscription and self._library.target:
self._library.target.remove_change_subscription(subscription_id=self._target_subscription)
self._library = value
self._initialize()
@Singleton
class __Manager:
def __init__(self):
install()
self._library_caches: typing.Dict[str, _LibraryProvider] = dict()
self._operators: typing.List[data.Operator] = [
operator.And(),
operator.Add(),
operator.BooleanSwitch(),
operator.ColorSpaceResolver(),
operator.ConstantBoolean(),
operator.ConstantFloat(),
operator.ConstantInteger(),
operator.ConstantRGB(),
operator.ConstantRGBA(),
operator.ConstantString(),
operator.Equal(),
operator.GreaterThan(),
operator.LessThan(),
operator.ListGenerator(),
operator.ListIndex(),
operator.MayaTransparencyResolver(),
operator.MergeRGB(),
operator.MergeRGBA(),
operator.MDLColorSpace(),
operator.MDLTextureResolver(),
operator.Multiply(),
operator.Not(),
operator.Or(),
operator.Remap(),
operator.SplitRGB(),
operator.SplitRGBA(),
operator.SplitTextureData(),
operator.Subtract(),
operator.ValueResolver(),
operator.ValueTest(),
]
for o in self._operators:
if len([item for item in self._operators if item.id == o.id]) == 1:
continue
raise Exception('Operator id "{0}" is not unique.'.format(o.id))
provider = _LibraryProvider(library=COMMON_LIBRARY)
self._library_caches[COMMON_LIBRARY_ID] = provider
render_contexts = [
'MDL',
'USDPreview',
'Blender',
]
settings = provider.get_settings()
if len(settings) == 0:
self._settings: data.Settings = data.Settings()
for render_context in render_contexts:
self._settings.render_contexts.append(render_context)
self._settings.render_contexts.append(render_context)
self._save_settings()
else:
self._settings: data.Settings = settings[0]
added_render_context = False
for render_context in render_contexts:
if render_context not in self._settings.render_contexts:
self._settings.render_contexts.append(render_context)
added_render_context = True
if added_render_context:
self._save_settings()
for i in range(len(self._settings.libraries)):
for library in DEFAULT_LIBRARIES:
if self._settings.libraries[i].id == library.id:
self._settings.libraries[i] = library
break
for library in DEFAULT_LIBRARIES:
if len([o for o in self._settings.libraries if o.id == library.id]) == 0:
self._settings.libraries.append(library)
for library in self._settings.libraries:
self.register_library(library=library)
def _save_settings(self) -> None:
if COMMON_LIBRARY_ID not in self._library_caches.keys():
raise Exception('Not supported: Common library not in cache. Unable to save settings.')
cache = self._library_caches[COMMON_LIBRARY_ID]
cache.write(item=self._settings, identifier=None, overwrite=True)
def register_library(self, library: data.Library) -> None:
preferences_changed = False
to_remove = []
for item in self._settings.libraries:
if item.id == library.id:
if not item == library:
to_remove.append(item)
for item in to_remove:
self._settings.libraries.remove(item)
preferences_changed = True
if library not in self._settings.libraries:
self._settings.libraries.append(library)
preferences_changed = True
if preferences_changed:
self._save_settings()
if library.id not in self._library_caches.keys():
self._library_caches[library.id] = _LibraryProvider(library=library)
else:
cache = self._library_caches[library.id]
cache.library = library
def register_render_contexts(self, context: str) -> None:
"""Register a render context such as MDL or USD Preview."""
if context not in self._settings.render_contexts:
self._settings.render_contexts.append(context)
self._save_settings()
def get_assembly(self, reference: data.TargetInstance) -> typing.Union[data.Target, None]:
cache: _LibraryProvider
for cache in self._library_caches.values():
for target in cache.get_targets():
if target.id == reference.target_id:
return target
return None
def get_assemblies(self, library: data.Library = None) -> typing.List[data.Target]:
if library:
if library.id not in self._library_caches.keys():
return []
cache = self._library_caches[library.id]
return cache.get_targets()
targets: typing.List[data.Target] = []
cache: _LibraryProvider
for cache in self._library_caches.values():
targets.extend(cache.get_targets())
return targets
def get_documents(self, library: data.Library = None) -> typing.List[data.ConversionGraph]:
conversion_graphs: typing.List[data.ConversionGraph] = []
if library:
if library.id not in self._library_caches.keys():
return []
cache = self._library_caches[library.id]
conversion_graphs = cache.get_conversion_graphs()
else:
cache: _LibraryProvider
for cache in self._library_caches.values():
conversion_graphs.extend(cache.get_conversion_graphs())
for conversion_graph in conversion_graphs:
self._completed_document_serialization(conversion_graph=conversion_graph)
return conversion_graphs
def get_document(self, library: data.Library, document_filename: str) -> typing.Union[data.ConversionGraph, typing.NoReturn]:
if library.id not in self._library_caches.keys():
return None
cache = self._library_caches[library.id]
for conversion_graph in cache.get_conversion_graphs():
if conversion_graph.filename == document_filename:
self._completed_document_serialization(conversion_graph=conversion_graph)
return conversion_graph
return None
def can_show_in_filesystem(self, document: data.ConversionGraph) -> bool:
if not document.library:
return False
if document.library.id not in self._library_caches.keys():
return False
cache = self._library_caches[document.library.id]
return cache.can_show_in_store(item=document)
def show_in_filesystem(self, document: data.ConversionGraph) -> None:
if not document.library:
return
if document.library.id not in self._library_caches.keys():
return
cache = self._library_caches[document.library.id]
cache.show_in_store(item=document)
def get_document_by_id(self, library: data.Library, document_id: str) -> typing.Union[data.ConversionGraph, typing.NoReturn]:
for conversion_graph in self.get_documents(library=library):
if conversion_graph.id == document_id:
return conversion_graph
return None
def create_new_document(self, library: data.Library) -> data.ConversionGraph:
conversion_graph = data.ConversionGraph()
conversion_graph._library = library
conversion_graph.filename = ''
self._completed_document_serialization(conversion_graph=conversion_graph)
return conversion_graph
def _completed_document_serialization(self, conversion_graph: data.ConversionGraph) -> None:
build_dag = len(conversion_graph.target_instances) == 0
for reference in conversion_graph.target_instances:
if reference.target and reference.target.id == reference.target_id:
continue
reference.target = self.get_assembly(reference=reference)
build_dag = True
if build_dag:
conversion_graph.build_dag()
def create_from_source(self, source: data.ConversionGraph) -> data.ConversionGraph:
new_conversion_graph = data.ConversionGraph()
new_id = new_conversion_graph.id
new_conversion_graph.deserialize(data=source.serialize())
new_conversion_graph._id = new_id
new_conversion_graph._library = source.library
new_conversion_graph.filename = source.filename
self._completed_document_serialization(conversion_graph=new_conversion_graph)
return new_conversion_graph
def revert(self, library: data.Library, instance: data.Serializable) -> bool:
"""
Returns True if the file existed on disk and was successfully reverted.
"""
if not library:
return False
if library.id not in self._library_caches.keys():
return False
cache = self._library_caches[library.id]
if cache.revert(item=instance):
if isinstance(instance, data.ConversionGraph):
self._completed_document_serialization(conversion_graph=instance)
return True
return False
def find_documents(self, source_class: str, library: data.Library = None) -> typing.List[data.ConversionGraph]:
conversion_graphs = []
for conversion_graph in self.get_documents(library=library):
if not conversion_graph.source_node:
continue
for node in conversion_graph.source_node.target.nodes:
if node.class_name == source_class:
conversion_graphs.append(conversion_graph)
return conversion_graphs
def find_assembly(self, assembly_class: str, library: data.Library = None) -> typing.List[data.Target]:
targets = []
for target in self.get_assemblies(library=library):
for node in target.nodes:
if node.class_name == assembly_class:
targets.append(target)
break
return targets
def _get_manifest_filepath(self, library: data.Library) -> str:
return '{0}/ConversionManifest.json'.format(library.path)
def get_conversion_manifest(self, library: data.Library) -> data.ConversionManifest:
if library.id not in self._library_caches.keys():
return data.ConversionManifest()
cache = self._library_caches[library.id]
manifests = cache.get_manifests()
if len(manifests):
manifest = manifests[0]
for conversion_map in manifest.conversion_maps:
if conversion_map.conversion_graph is None:
continue
self._completed_document_serialization(conversion_graph=conversion_map.conversion_graph)
return manifest
return data.ConversionManifest()
def save_conversion_manifest(self, library: data.Library, manifest: data.ConversionManifest) -> None:
if library.id not in self._library_caches.keys():
return
cache = self._library_caches[library.id]
cache.write(item=manifest)
def write(self, filename: str, instance: data.Serializable, library: data.Library, overwrite: bool = False) -> None:
if not filename.strip():
raise Exception('Invalid filename: empty string.')
if library.id not in self._library_caches.keys():
raise Exception('Cannot write to a library that is not registered')
if not filename.lower().endswith('.json'):
filename = '{0}.json'.format(filename)
cache = self._library_caches[library.id]
cache.write(item=instance, identifier=filename, overwrite=overwrite)
def delete_document(self, document: data.ConversionGraph) -> bool:
if not document.library:
return False
if document.library.id not in self._library_caches.keys():
return False
cache = self._library_caches[document.library.id]
cache.delete(item=document)
return True
def is_graph_entity_id(self, identifier: str) -> bool:
for item in self.get_assemblies():
if item.id == identifier:
return True
return False
def get_graph_entity(self, identifier: str) -> data.GraphEntity:
for item in self.get_assemblies():
if item.id == identifier:
return data.TargetInstance.FromAssembly(assembly=item)
for item in self.get_operators():
if item.id == identifier:
return data.OperatorInstance.FromOperator(operator=item)
raise Exception('Graph Entity with id "{0}" cannot be found'.format(identifier))
def register_operator(self, operator: data.Operator):
if operator not in self._operators:
self._operators.append(operator)
def get_operators(self) -> typing.List[data.Operator]:
return self._operators
def is_operator_id(self, identifier: str) -> bool:
for item in self.get_operators():
if item.id == identifier:
return True
return False
def on_shutdown(self):
if len(self._library_caches.keys()):
provider: _LibraryProvider
for provider in self._library_caches.values():
provider.library = None
self._library_caches = dict()
@property
def libraries(self) -> typing.List[data.Library]:
return self._settings.libraries
def register_library(library: data.Library) -> None:
""" """
__Manager().register_library(library=library)
def get_libraries() -> typing.List[data.Library]:
""" """
return __Manager().libraries
def get_library(library_id: str) -> data.Library:
""" """
for library in __Manager().libraries:
if library.id == library_id:
return library
raise Exception('Library with id "{0}" not found.'.format(library_id))
def get_assembly(reference: data.TargetInstance) -> data.Target:
""" """
# TODO: Is this still needed?
return __Manager().get_assembly(reference=reference)
def write(filename: str, instance: data.Serializable, library: data.Library, overwrite: bool = False) -> None:
""" """
__Manager().write(filename=filename, instance=instance, library=library, overwrite=overwrite)
def get_assemblies(library: data.Library = None) -> typing.List[data.Target]:
""" """
return __Manager().get_assemblies(library=library)
def is_graph_entity_id(identifier: str) -> bool:
""" """
return __Manager().is_graph_entity_id(identifier=identifier)
def get_graph_entity(identifier: str) -> data.GraphEntity:
""" """
return __Manager().get_graph_entity(identifier=identifier)
def get_documents(library: data.Library = None) -> typing.List[data.ConversionGraph]:
""" """
return __Manager().get_documents(library=library)
def get_document(library: data.Library, document_filename: str) -> typing.Union[data.ConversionGraph, typing.NoReturn]:
""" """
# TODO: Is this still needed?
return __Manager().get_document(library=library, document_filename=document_filename)
def create_new_document(library: data.Library) -> data.ConversionGraph:
""" """
return __Manager().create_new_document(library=library)
def create_from_source(source: data.ConversionGraph) -> data.ConversionGraph:
""" """
return __Manager().create_from_source(source=source)
def revert(library: data.Library, instance: data.Serializable) -> bool:
"""
Returns True if the file existed on disk and was successfully reverted.
"""
return __Manager().revert(library, instance)
def find_documents(source_class: str, library: data.Library = None) -> typing.List[data.ConversionGraph]:
""" """
# TODO: Is this still needed?
return __Manager().find_documents(source_class=source_class, library=library)
def find_assembly(assembly_class: str, library: data.Library = None) -> typing.List[data.Target]:
""" """
# TODO: Is this still needed?
return __Manager().find_assembly(assembly_class=assembly_class, library=library)
def register_operator(operator: data.Operator):
""" """
__Manager().register_operator(operator=operator)
def get_operators() -> typing.List[data.Operator]:
""" """
return __Manager().get_operators()
def is_operator_id(identifier: str) -> bool:
""" """
return __Manager().is_operator_id(identifier=identifier)
def delete_document(document: data.ConversionGraph) -> bool:
""" """
return __Manager().delete_document(document=document)
def get_conversion_manifest(library: data.Library) -> data.ConversionManifest:
""" """
return __Manager().get_conversion_manifest(library=library)
def get_render_contexts() -> typing.List[str]:
"""Returns list of registered render contexts."""
return __Manager()._settings.render_contexts[:]
def register_render_contexts(context: str) -> None:
"""Register a render context such as MDL or USD Preview."""
__Manager().register_render_contexts(context=context)
def can_show_in_filesystem(document: data.ConversionGraph) -> bool:
"""Checks if the operating system can display where a document is saved on disk."""
return __Manager().can_show_in_filesystem(document=document)
def show_in_filesystem(document: data.ConversionGraph) -> None:
"""Makes the operating system display where a document is saved on disk."""
return __Manager().show_in_filesystem(document=document)
def on_shutdown() -> None:
"""Makes the operating system display where a document is saved on disk."""
return __Manager().on_shutdown()
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/delegate.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import typing
import os
import json
import subprocess
import threading
import platform
import uuid
from ..feature import POLLING
from .core import ChangeEvent, IDelegate
class Filesystem(IDelegate):
def __init__(self, root_directory: str):
super(Filesystem, self).__init__()
if POLLING:
self.__is_polling: bool = False
self.__poll_timer: threading.Timer = None
self.__poll_data: typing.Dict[str, float] = dict()
self.__poll_subscriptions: typing.Dict[uuid.uuid4, typing.Callable[[ChangeEvent], typing.NoReturn]] = dict()
self.__pending_write_ids: typing.List[str] = []
self.__pending_delete_ids: typing.List[str] = []
self._root_directory: str = root_directory
def __start_polling(self) -> None:
if not POLLING:
return
if self.__is_polling:
return
self.__is_polling = True
# Store current state in self.__poll_data so that __on_timer we only notify of changes since starting to poll
self.__poll_data = dict()
self.__pending_change_ids = []
identifiers = self.get_ids()
for identifier in identifiers:
filepath = '{0}/{1}'.format(self._root_directory, identifier)
modified_time = os.path.getmtime(filepath) if platform.system() == 'Windows' else os.stat(filepath).st_mtime
self.__poll_data[identifier] = modified_time
self.__poll_timer = threading.Timer(5, self.__on_timer)
self.__poll_timer.start()
def __on_timer(self):
print('UMM PING')
if not POLLING:
return
if not self.__is_polling:
return
try:
identifiers = self.get_ids()
added = [o for o in identifiers if o not in self.__poll_data.keys() and o not in self.__pending_write_ids]
removed = [o for o in self.__poll_data.keys() if o not in identifiers and o not in self.__pending_delete_ids]
modified_maybe = [o for o in identifiers if o not in added and o not in removed and o not in self.__pending_write_ids]
modified = []
for identifier in modified_maybe:
filepath = '{0}/{1}'.format(self._root_directory, identifier)
modified_time = os.path.getmtime(filepath) if platform.system() == 'Windows' else os.stat(filepath).st_mtime
if self.__poll_data[identifier] == modified_time:
continue
modified.append(identifier)
self.__poll_data[identifier] = modified_time
for identifier in added:
filepath = '{0}/{1}'.format(self._root_directory, identifier)
self.__poll_data[identifier] = os.path.getmtime(filepath) if platform.system() == 'Windows' else os.stat(filepath).st_mtime
for identifier in removed:
del self.__poll_data[identifier]
if len(added) + len(modified) + len(removed) > 0:
event = ChangeEvent(added=tuple(added), modified=tuple(modified), removed=tuple(removed))
for callbacks in self.__poll_subscriptions.values():
callbacks(event)
except Exception as error:
print('WARNING: Universal Material Map failed to poll {0} for file changes.\nDetail: {1}'.format(self._root_directory, error))
self.__poll_timer.run()
def __stop_polling(self) -> None:
if not POLLING:
return
self.__is_polling = False
try:
self.__poll_timer.cancel()
except:
pass
self.__poll_data = dict()
def can_poll(self) -> bool:
if not POLLING:
return False
return True
def start_polling(self):
if not POLLING:
return
self.__start_polling()
def stop_polling(self):
if not POLLING:
return
self.__stop_polling()
def add_change_subscription(self, callback: typing.Callable[[ChangeEvent], typing.NoReturn]) -> uuid.uuid4:
if not POLLING:
raise NotImplementedError('Polling feature not enabled.')
for key, value in self.__poll_subscriptions.items():
if value == callback:
return key
key = uuid.uuid4()
self.__poll_subscriptions[key] = callback
self.start_polling()
return key
def remove_change_subscription(self, subscription_id: uuid.uuid4) -> None:
if not POLLING:
raise NotImplementedError('Polling feature not enabled.')
if subscription_id in self.__poll_subscriptions.keys():
del self.__poll_subscriptions[subscription_id]
if len(self.__poll_subscriptions.keys()) == 0:
self.stop_polling()
def get_ids(self) -> typing.List[str]:
identifiers: typing.List[str] = []
for directory, sub_directories, filenames in os.walk(self._root_directory):
for filename in filenames:
if not filename.lower().endswith('.json'):
continue
identifiers.append(filename)
break
return identifiers
def read(self, identifier: str) -> typing.Union[typing.Dict, typing.NoReturn]:
if not identifier.lower().endswith('.json'):
raise Exception('Invalid identifier: "{0}" does not end with ".json".'.format(identifier))
filepath = '{0}/{1}'.format(self._root_directory, identifier)
if os.path.exists(filepath):
try:
with open(filepath, 'r') as pointer:
contents = json.load(pointer)
if not isinstance(contents, dict):
raise Exception('Not supported: Load of file "{0}" did not resolve to a dictionary. Could be due to reading same file twice too fast.'.format(filepath))
return contents
except Exception as error:
print('Failed to open file "{0}"'.format(filepath))
raise error
return None
def write(self, identifier: str, contents: typing.Dict) -> None:
if not identifier.lower().endswith('.json'):
raise Exception('Invalid identifier: "{0}" does not end with ".json".'.format(identifier))
if not isinstance(contents, dict):
raise Exception('Not supported: Argument "contents" is not an instance of dict.')
if not os.path.exists(self._root_directory):
os.makedirs(self._root_directory)
if POLLING:
if identifier not in self.__pending_write_ids:
self.__pending_write_ids.append(identifier)
filepath = '{0}/{1}'.format(self._root_directory, identifier)
with open(filepath, 'w') as pointer:
json.dump(contents, pointer, indent=4)
if POLLING:
# Store the modified time so that we don't trigger a notification. We only want notifications when changes are caused by external modifiers.
self.__poll_data[identifier] = os.path.getmtime(filepath) if platform.system() == 'Windows' else os.stat(filepath).st_mtime
self.__pending_write_ids.remove(identifier)
def delete(self, identifier: str) -> None:
if not identifier.lower().endswith('.json'):
raise Exception('Invalid identifier: "{0}" does not end with ".json".'.format(identifier))
if POLLING:
if identifier not in self.__pending_delete_ids:
self.__pending_delete_ids.append(identifier)
filepath = '{0}/{1}'.format(self._root_directory, identifier)
if os.path.exists(filepath):
os.remove(filepath)
if POLLING:
# Remove the item from self.__poll_data so that we don't trigger a notification. We only want notifications when changes are caused by external modifiers.
if identifier in self.__poll_data.keys():
del self.__poll_data[identifier]
self.__pending_delete_ids.remove(identifier)
def can_show_in_store(self, identifier: str) -> bool:
filepath = '{0}/{1}'.format(self._root_directory, identifier)
return os.path.exists(filepath)
def show_in_store(self, identifier: str) -> None:
filepath = '{0}/{1}'.format(self._root_directory, identifier)
if os.path.exists(filepath):
subprocess.Popen(r'explorer /select,"{0}"'.format(filepath.replace('/', '\\')))
class FilesystemManifest(Filesystem):
def __init__(self, root_directory: str):
super(FilesystemManifest, self).__init__(root_directory=root_directory)
def get_ids(self) -> typing.List[str]:
identifiers: typing.List[str] = []
for directory, sub_directories, filenames in os.walk(self._root_directory):
for filename in filenames:
if not filename.lower() == 'conversionmanifest.json':
continue
identifiers.append(filename)
break
return identifiers
class FilesystemSettings(Filesystem):
def __init__(self, root_directory: str):
super(FilesystemSettings, self).__init__(root_directory=root_directory)
def get_ids(self) -> typing.List[str]:
identifiers: typing.List[str] = []
for directory, sub_directories, filenames in os.walk(self._root_directory):
for filename in filenames:
if not filename.lower() == 'settings.json':
continue
identifiers.append(filename)
break
return identifiers |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/core.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import abc
import typing
import uuid
class ChangeEvent(object):
def __init__(self, added: typing.Tuple[str], modified: typing.Tuple[str], removed: typing.Tuple[str]):
super(ChangeEvent, self).__init__()
self.__added: typing.Tuple[str] = added
self.__modified: typing.Tuple[str] = modified
self.__removed: typing.Tuple[str] = removed
def __str__(self):
o = 'omni.universalmaterialmap.core.service.core.ChangeEvent('
o += '\n\tadded: '
o += ', '.join(self.__added)
o += '\n\tmodified: '
o += ', '.join(self.__modified)
o += '\n\tremoved: '
o += ', '.join(self.__removed)
o += '\n)'
return o
@property
def added(self) -> typing.Tuple[str]:
return self.__added
@property
def modified(self) -> typing.Tuple[str]:
return self.__modified
@property
def removed(self) -> typing.Tuple[str]:
return self.__removed
class IDelegate(metaclass=abc.ABCMeta):
""" Interface for an online library database table. """
@abc.abstractmethod
def get_ids(self) -> typing.List[str]:
""" Returns a list of identifiers. """
raise NotImplementedError
@abc.abstractmethod
def read(self, identifier: str) -> typing.Dict:
""" Returns a JSON dictionary if an item by the given identifier exists - otherwise None """
raise NotImplementedError
@abc.abstractmethod
def write(self, identifier: str, contents: typing.Dict) -> str:
""" Creates or updates an item by using the JSON contents data. """
raise NotImplementedError
@abc.abstractmethod
def delete(self, identifier: str) -> None:
""" Deletes an item by the given identifier if it exists. """
raise NotImplementedError
@abc.abstractmethod
def can_show_in_store(self, identifier: str) -> bool:
""" Deletes an item by the given identifier if it exists. """
raise NotImplementedError
@abc.abstractmethod
def show_in_store(self, identifier: str) -> None:
""" Deletes an item by the given identifier if it exists. """
raise NotImplementedError
@abc.abstractmethod
def can_poll(self) -> bool:
""" States if delegate is able to poll file changes and provide subscription to those changes. """
raise NotImplementedError
@abc.abstractmethod
def start_polling(self) -> None:
""" Starts monitoring files for changes. """
raise NotImplementedError
@abc.abstractmethod
def stop_polling(self) -> None:
""" Stops monitoring files for changes. """
raise NotImplementedError
@abc.abstractmethod
def add_change_subscription(self, callback: typing.Callable[[ChangeEvent], typing.NoReturn]) -> uuid.uuid4:
""" Creates a subscription for file changes in location managed by delegate. """
raise NotImplementedError
@abc.abstractmethod
def remove_change_subscription(self, subscription_id: uuid.uuid4) -> None:
""" Removes the subscription for file changes in location managed by delegate. """
raise NotImplementedError |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/__init__.py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
import os
import shutil
import json
import inspect
from ...data import FileUtility, Target, ConversionGraph, ConversionManifest
def __copy(source_path: str, destination_path: str) -> None:
try:
shutil.copy(source_path, destination_path)
except Exception as error:
print('Error installing UMM data. Unable to copy source "{0}" to destination "{1}".\n Details: {2}'.format(source_path, destination_path, error))
raise error
def __install_library(source_root: str, destination_root: str) -> None:
source_root = source_root.replace('\\', '/')
destination_root = destination_root.replace('\\', '/')
for directory, sub_directories, filenames in os.walk(source_root):
directory = directory.replace('\\', '/')
destination_directory = directory.replace(source_root, destination_root)
destination_directory_created = os.path.exists(destination_directory)
for filename in filenames:
if not filename.lower().endswith('.json'):
continue
source_path = '{0}/{1}'.format(directory, filename)
destination_path = '{0}/{1}'.format(destination_directory, filename)
if not destination_directory_created:
try:
os.makedirs(destination_directory)
destination_directory_created = True
except Exception as error:
print('Universal Material Map error installing data. Unable to create directory "{0}".\n Details: {1}'.format(destination_directory, error))
raise error
if not os.path.exists(destination_path):
__copy(source_path=source_path, destination_path=destination_path)
print('Universal Material Map installed "{0}".'.format(destination_path))
continue
try:
with open(source_path, 'r') as fp:
source = FileUtility.FromData(data=json.load(fp)).content
except Exception as error:
print('Universal Material Map error installing data. Unable to read source "{0}". \n Details: {1}'.format(source_path, error))
raise error
try:
with open(destination_path, 'r') as fp:
destination = FileUtility.FromData(data=json.load(fp)).content
except Exception as error:
print('Warning: Universal Material Map error installing data. Unable to read destination "{0}". It is assumed that the installed version is more recent than the one attempted to be installed.\n Details: {1}'.format(destination_path, error))
continue
if isinstance(source, Target) and isinstance(destination, Target):
if source.revision > destination.revision:
__copy(source_path=source_path, destination_path=destination_path)
print('Universal Material Map installed the more recent revision #{0} of "{1}".'.format(source.revision, destination_path))
continue
if isinstance(source, ConversionGraph) and isinstance(destination, ConversionGraph):
if source.revision > destination.revision:
__copy(source_path=source_path, destination_path=destination_path)
print('Universal Material Map installed the more recent revision #{0} of "{1}".'.format(source.revision, destination_path))
continue
if isinstance(source, ConversionManifest) and isinstance(destination, ConversionManifest):
if source.version_major < destination.version_major:
continue
if source.version_minor <= destination.version_minor:
continue
__copy(source_path=source_path, destination_path=destination_path)
print('Universal Material Map installed the more recent revision #{0}.{1} of "{2}".'.format(source.version_major, source.version_minor, destination_path))
continue
def install() -> None:
current_path = inspect.getfile(inspect.currentframe()).replace('\\', '/')
current_path = current_path[:current_path.rfind('/')]
library_names = []
for o in os.listdir(current_path):
path = '{0}/{1}'.format(current_path, o)
if os.path.isdir(path) and not o == '__pycache__':
library_names.append(o)
libraries_directory = os.path.expanduser('~').replace('\\', '/')
if not libraries_directory.endswith('/Documents'):
# os.path.expanduser() has different behaviour between 2.7 and 3
libraries_directory = '{0}/Documents'.format(libraries_directory)
libraries_directory = '{0}/Omniverse'.format(libraries_directory)
for library_name in library_names:
source_root = '{0}/{1}/UMMLibrary'.format(current_path, library_name)
destination_root = '{0}/{1}/UMMLibrary'.format(libraries_directory, library_name)
__install_library(source_root=source_root, destination_root=destination_root)
|
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/ConnectorCommon/UMMLibrary/Settings.json | {
"_header": {
"_module": "omni.universalmaterialmap.core.data",
"_class_name": "Settings"
},
"_content": {
"_libraries": [
{
"_id": "327ef29b-8358-441b-b2f0-4a16a9afd349",
"_name": "Common"
},
{
"_id": "54234a38-cec8-4f63-9345-6bc9f178b40b",
"_name": "Maya"
},
{
"_id": "e4aaa983-cdac-4168-bdcd-82f418274c96",
"_name": "Max"
},
{
"_id": "195c69e1-7765-4a16-bb3a-ecaa222876d9",
"_name": "Blender"
}
],
"_render_contexts": [
"MDL",
"USDPreview",
"Blender"
]
}
} |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/ConnectorCommon/UMMLibrary/Target/PreviewSurface.json | {
"_header": {
"_module": "omni.universalmaterialmap.core.data",
"_class_name": "Target"
},
"_content": {
"_id": "c172cfe3-6585-4546-a254-0a321155f78a",
"_inputs": [],
"_outputs": [],
"_display_name": "PreviewSurface",
"_position": null,
"_expansion_state": 0,
"_show_inputs": true,
"_show_outputs": true,
"_show_peripheral": false,
"_nodes": [
{
"_id": "3ea9d908-44ab-47a1-9699-67fee8e93378",
"_inputs": [
{
"_id": "7b88a733-c431-4925-8022-ffb1d2c87a09",
"_name": "clearcoat",
"_display_name": "Clearcoat",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "2d997ff1-c0e2-443a-ad7e-615f43cd6946",
"_name": "clearcoatRoughness",
"_display_name": "Clearcoat Roughness",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "15ba2e6a-327e-4979-8cbe-53bf018806e3",
"_name": "diffuseColor",
"_display_name": "Diffuse Color",
"_value_type": "vector3",
"_internal_value_type": "color3f",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": [
0,
0,
0
],
"_value": null
},
{
"_id": "81fcce88-ae70-4163-b301-f7b132e8ec23",
"_name": "ior",
"_display_name": "Ior",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "d60570a2-e7fe-4b1f-8be8-58317e57bb1a",
"_name": "metallic",
"_display_name": "Metallic",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "f88604db-5ec1-4c45-80ab-44497c09217d",
"_name": "normal",
"_display_name": "Normal",
"_value_type": "vector3",
"_internal_value_type": "normal3f",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": [
0,
0,
1
],
"_value": null
},
{
"_id": "8010ffd7-6643-4918-b84b-3ce74e79e4a8",
"_name": "occlusion",
"_display_name": "Occlusion",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 1,
"_value": null
},
{
"_id": "0da9098a-c65b-49ba-b75d-d4237f1ef3e0",
"_name": "opacity",
"_display_name": "Opacity",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 1,
"_value": null
},
{
"_id": "e0e0c737-dc92-4d59-9530-58ef2b994643",
"_name": "opacityThreshold",
"_display_name": "Opacity Threshold",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "b3cf46e7-6cbb-4085-87a4-a16c5ddcc993",
"_name": "roughness",
"_display_name": "Roughness",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "8bd69fcf-f717-49c6-b125-2d06325775f1",
"_name": "specularColor",
"_display_name": "Specular Color",
"_value_type": "vector3",
"_internal_value_type": "color3f",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": [
0,
0,
0
],
"_value": null
},
{
"_id": "ff4a3a40-e2a1-4cc8-976b-9f4240ee52a4",
"_name": "useSpecularWorkflow",
"_display_name": "Use Specular Workflow",
"_value_type": "any",
"_internal_value_type": "int",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
}
],
"_outputs": [
{
"_id": "f9f7adb5-0a32-488d-bbf9-a78bcf3a8e15",
"_name": "clearcoat",
"_display_name": "Clearcoat",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "ab3e3a78-177b-433d-80f6-c1eb32f75f82",
"_name": "clearcoatRoughness",
"_display_name": "Clearcoat Roughness",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "db9c9666-8515-4838-9066-85103bb26842",
"_name": "diffuseColor",
"_display_name": "Diffuse Color",
"_value_type": "vector3",
"_internal_value_type": "color3f",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": [
0,
0,
0
],
"_value": null
},
{
"_id": "c98748ac-e8a0-4031-9d2f-63da20e275bf",
"_name": "ior",
"_display_name": "Ior",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "4f9abe5a-2f0b-4df1-a9ba-72f6fab615db",
"_name": "metallic",
"_display_name": "Metallic",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "615fcd77-4fb1-481b-8117-11f141de144a",
"_name": "normal",
"_display_name": "Normal",
"_value_type": "vector3",
"_internal_value_type": "normal3f",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": [
0,
0,
1
],
"_value": null
},
{
"_id": "0d68f2d1-45fc-44db-aa91-8f6faf21bc3f",
"_name": "occlusion",
"_display_name": "Occlusion",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 1,
"_value": null
},
{
"_id": "f3d3a601-6958-4ef8-a534-a1ae08929d49",
"_name": "opacity",
"_display_name": "Opacity",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 1,
"_value": null
},
{
"_id": "22f6ff6b-0dd2-47b0-9da1-12ab463933fe",
"_name": "opacityThreshold",
"_display_name": "Opacity Threshold",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "f0994e4b-9c55-4c7f-8a59-1a89accdcda3",
"_name": "roughness",
"_display_name": "Roughness",
"_value_type": "float",
"_internal_value_type": "float",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
},
{
"_id": "15cf31db-aefd-454c-a589-128780035bdf",
"_name": "specularColor",
"_display_name": "Specular Color",
"_value_type": "vector3",
"_internal_value_type": "color3f",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": [
0,
0,
0
],
"_value": null
},
{
"_id": "8ff10fcb-eafb-4720-a308-af4d9e3be95c",
"_name": "useSpecularWorkflow",
"_display_name": "Use Specular Workflow",
"_value_type": "any",
"_internal_value_type": "int",
"_is_peripheral": false,
"_is_editable": false,
"_default_value": 0,
"_value": null
}
],
"_class_name": "PreviewSurface"
}
],
"_metadata": {
"_category": "Connector Materials",
"_name": "",
"_keywords": [
"USDPreview",
"PreviewSurface",
"PreviewSurface"
],
"_supported_clients": [
{
"_name": "Maya",
"_version": "any"
}
]
},
"_root_node_id": "3ea9d908-44ab-47a1-9699-67fee8e93378",
"_revision": 1
}
} |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/ConnectorCommon/UMMLibrary/Target/OmniSurfaceLite.json | {
"_content": {
"_nodes": [
{
"_class_name": "OmniSurfaceLite.mdl|OmniSurfaceLite",
"_id": "68e8f2c3-ba1d-475d-9830-1a40b16f3070",
"_outputs": [
{
"_default_value": null,
"_is_editable": true,
"_value_type": "any",
"_name": "message",
"_value": null,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "message",
"_display_name": "message",
"_id": "f0e81ac4-6c5b-4acf-8837-e8670b03dcd0",
"_is_peripheral": true
},
{
"_default_value": false,
"_is_editable": true,
"_value_type": "bool",
"_name": "caching",
"_value": false,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "bool",
"_display_name": "caching",
"_id": "9562d18f-1b1b-4f5e-8120-f4c6570bc9bf",
"_is_peripheral": true
},
{
"_default_value": false,
"_is_editable": true,
"_value_type": "bool",
"_name": "frozen",
"_value": false,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "bool",
"_display_name": "frozen",
"_id": "7ac95808-7549-4ae9-b1ac-016a5ba5d772",
"_is_peripheral": true
},
{
"_default_value": 2,
"_is_editable": true,
"_value_type": "any",
"_name": "isHistoricallyInteresting",
"_value": 2,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "byte",
"_display_name": "isHistoricallyInteresting",
"_id": "a96d81e9-3b19-46bd-a81c-3fdc08e1af34",
"_is_peripheral": true
},
{
"_default_value": 0,
"_is_editable": true,
"_value_type": "enum",
"_name": "nodeState",
"_value": 0,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "enum",
"_display_name": "nodeState",
"_id": "b114914f-e22d-4429-aaa9-dd92d26e98ca",
"_is_peripheral": true
},
{
"_default_value": [
"",
"auto"
],
"_is_editable": true,
"_value_type": "list",
"_name": "binMembership",
"_value": [
"",
"auto"
],
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "string",
"_display_name": "binMembership",
"_id": "5f0196c5-2312-4372-b554-90df2191437b",
"_is_peripheral": true
},
{
"_default_value": 1,
"_is_editable": true,
"_value_type": "int",
"_name": "baking_samples",
"_value": 1,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "short",
"_display_name": "baking_samples",
"_id": "778447d2-b15b-4175-a47e-dad40077540e",
"_is_peripheral": true
},
{
"_default_value": 2,
"_is_editable": true,
"_value_type": "int",
"_name": "baking_mode",
"_value": 2,
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "short",
"_display_name": "baking_mode",
"_id": "d1511c38-2d82-4da4-aa43-8030f0d37fae",
"_is_peripheral": true
},
{
"_default_value": [
"mdl::Library::Materials::OmniSurface::Templates::OmniSurfaceLite::OmniSurfaceLite",
"auto"
],
"_is_editable": true,
"_value_type": "list",
"_name": "mdlNodeName",
"_value": [
"mdl::Library::Materials::OmniSurface::Templates::OmniSurfaceLite::OmniSurfaceLite",
"auto"
],
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "string",
"_display_name": "mdlNodeName",
"_id": "2c694e0b-41a8-4b02-a49c-1cbf9f93a1a5",
"_is_peripheral": true
},
{
"_default_value": [
"S//Library/Materials/OmniSurface/Templates/OmniSurfaceLite/OmniSurfaceLite",
"auto"
],
"_is_editable": true,
"_value_type": "list",
"_name": "mdlMaterialDescription",
"_value": [
"S//Library/Materials/OmniSurface/Templates/OmniSurfaceLite/OmniSurfaceLite",
"auto"
],
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "string",
"_display_name": "mdlMaterialDescription",
"_id": "7dc4d3a1-d491-40d3-b43e-c67eef8b659e",
"_is_peripheral": true
},
{
"_default_value": [
1.0,
1.0,
1.0
],
"_is_editable": true,
"_value_type": "vector3",
"_name": "outColor",
"_value": [
1.0,
1.0,
1.0
],
"_enum_values": [],
"_is_removable": false,
"_internal_value_type": "float3",
"_display_name": "outColor",
"_id": "341caef5-15d5-43e0-8449-062e952df25d",
"_is_peripheral": true
},
{
"_default_value": [
"",
"auto"
],
"_is_editable": true,
"_value_type": "list",
"_name": "outMDL",
"_value": [
"",
"auto"
],
"_enum_values": [],
"_is_removable": false,
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} |
NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/ConnectorCommon/UMMLibrary/Target/PreviewSurfaceTexture.json | {
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} |
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NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/Blender/UMMLibrary/ConversionGraph/PrincipledOmniGlassTemplate_2_MDL.json | {
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NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/Blender/UMMLibrary/Target/ShaderNodeBsdfTransparent.json | {
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NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/Blender/UMMLibrary/Target/ShaderNodeBsdfTranslucent.json | {
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NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/Blender/UMMLibrary/Target/ShaderNodeBsdfGlass.json | {
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NVIDIA-Omniverse/Blender-Addon-UMM/omni/universalmaterialmap/core/service/resources/Blender/UMMLibrary/Target/ShaderNodeOutputMaterial_0.json | {
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} |
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