Skip to main content

A Python package to help bootstrap and manage Panda3D applications

Project description

Build Status

Panda3D Manager

pman is a Python package to help bootstrap and manage Panda3D applications.

Features

  • Project quick-start
  • Automatic asset conversion
  • Automatically adds export directory to the model path
  • Convenient CLI for running and testing applications
  • Plugin system for expanding functionality

Installation

Use pip to install the panda3d-pman package:

pip install panda3d-pman

Usage

Quick start a project with pman create. If you already have a directory for your project:

cd my_awesome_project
pman create .

pman can also create the directory for you:

pman create my_awesome_project

In addition to the create command, pman has the following commands:

  • update - re-run project creation logic on the project directory
  • help - display usage information
  • build - convert all files in the assets directory and place them in the export directory
  • run - run the application by calling python with the main file
  • test - run tests (shortcut for python setup.py test)
  • dist - create distributable forms of Panda3D applications (requires Panda3D 1.10+)
  • clean - remove built files

Configuration

pman will look for any of the following files in the project root:

  • pyproject.toml
  • .pman
  • .pman.user

This configuration uses TOML for markup. The .pman or pyproject.toml configuration file is project-wide and should be checked in under version control.

Another, per-user configuration file also exists at the project root as .pman.user. This configuration file stores user settings and should not be checked into version control.

Settings in .pman.user take precedence over settings in .pman and both take precedence over pyproject.toml. If a setting is not defined in a config file, a default value will be used.

When storing settings in pyproject.toml, section names should be pre-pended with tool.pman.. For example, general options would be under tool.pman.general.

General Options

Section name: general

option default description
name "Game" The project name. For now this is only used for naming the built application in the default setup.py.
plugins ["DefaultPlugins"] A list of plugins to load and use. "DefaultPlugins" is expanded to the current default plugins, which makes it easier to enable additional plugins.

Build Options

Section name: build

option default description
asset_dir "assets/" The directory to look for assets to convert.
export_dir ".built_assets/" The directory to store built assets.
ignore_patterns [] A case-insensitive list of patterns. Files matching any of these patterns will not be ignored during the build step. Pattern matching is done using the fnmatch module

Run Options

Section name: run

option default description
main_file "main.py" The entry-point to the application.
extra_args "" A string of extra arugments that are append to the invocation of main_file.
auto_build true If true, automatically run builds as part of running the application (via pman.shim.init). This is disabled in deployed applications.

Distribution Options

Section name: dist

option default description
build_installers true Whether or not to build installers for built applications (i.e., run bdist_apps).

Plugins

To extend functionality, pman offers a plugin system. These plugins are found by pman using entry points.

Default Plugins

By default, pman loads the following plugins:

  • native2bam
  • blend2bam

When specifying plugins, a special DefaultPlugins string is available that expands to pman's current default plugins. For example, to use MyAwesomePlugin in addition to pman's default plugins use:

[General]
plugins = ['DefaultPlugins', 'MyAwesomePlugin']

Built-in Plugins

Below are plugins that ship with pman and their options.

native2bam

Support file formats: egg, egg.pz, obj (and mtl), fbx, dae, ply

Loads the file into Panda and saves the result out to BAM. This relies on Panda's builtin file loading capabilities.

Options

None

blend2bam

Supported file formats: blend

Converts Blender files to BAM files via blend2bam.

Options

Section name: blend2bam

option default description
material_mode "pbr" Specify whether to use the default Panda materials ("legacy") or Panda's new PBR material attributes ("pbr"). This is only used by the "gltf" pipeline; the "egg" always uses "legacy".
physics_engine "builtin" The physics engine that collision solids should be built for. To export for Panda's builtin collision system, use "builtin." For Bullet, use "bullet." This is only used by the "gltf" pipeline; the "egg" pipeline always uses "builtin."
pipeline "gltf" The backend that blend2bam uses to convert blend files. Go here for more information.

Running Tests

First install the project in editable mode along with test extras:

pip install -e .[test]

Then run the test suite with pytest:

pytest

Building Wheels

Install build:

pip install --upgrade build

and run:

python -m build

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

panda3d-pman-0.16.0.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

panda3d_pman-0.16.0-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file panda3d-pman-0.16.0.tar.gz.

File metadata

  • Download URL: panda3d-pman-0.16.0.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for panda3d-pman-0.16.0.tar.gz
Algorithm Hash digest
SHA256 e436684e0a8921b31d35f01e765363a7b78029c48eb8bad8327f4ba6e6e0142e
MD5 ad7b6ec1e8e68ec550697d03afb1c442
BLAKE2b-256 c50a85016a04b31515f85c4e64fa57b2562315b64352080ef805d1f1f1c2794b

See more details on using hashes here.

File details

Details for the file panda3d_pman-0.16.0-py3-none-any.whl.

File metadata

File hashes

Hashes for panda3d_pman-0.16.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1c3f8a6d33a29ddd40f0574227226f3c1cac536f724515e965206f01f83c0e77
MD5 96c6f703d07b93b03586c08af309c01b
BLAKE2b-256 e3c11c1013eda4089e7ef38fdbd94cb515709abd9adf8312ea68f829b5d5f721

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page