A basic asset creation pipeline - batteries included.
$ pip install pyblish-mindbender
Each studio must then define a few executables with their own local paths, that are later mapped into the pipeline automatically.
>>> from pyblish_mindbender import api, maya
>>> api.install(maya)
While developing the documentation, here is how you can run a local Jekyll server that will enable you to preview what the website will look like locally.
$ cd pyblish-mindbender
$ docker run --rm -v $(pwd)/docs:/src -p 4000:4000 grahamc/jekyll serve -w --force_polling -H 0.0.0.0
The server will now be available at http://127.0.0.1:4000
. Make sure port 4000
is forwarded to your host.
cd pyblish-mindbender
docker build -t pyblish/mindbender -f Dockerfile-maya2016 .
# Run nosetests (Linux/OSX)
docker run --rm -v $(pwd):/repo pyblish/mindbender
Below are some of the standard practices applied to this repositories.
- PEP8
- All code is written in PEP8. It is recommended you use a linter as you work, flake8 and pylinter are both good options.
- Napoleon docstrings
- Any docstrings are made in Google Napoleon format. See Napoleon for details.
- Semantic Versioning
- This project follows semantic versioning.
- Underscore means private
- Anything prefixed with an underscore means that it is internal to wherever it is used. For example, a variable name is only ever used in the parent function or class. A module is not for use by the end-user. In contrast, anything without an underscore is public, but not necessarily part of the API. Members of the API resides in
api.py
.
- Anything prefixed with an underscore means that it is internal to wherever it is used. For example, a variable name is only ever used in the parent function or class. A module is not for use by the end-user. In contrast, anything without an underscore is public, but not necessarily part of the API. Members of the API resides in