Development guide¶
This tutorial will guide you through on how to set up a working environment for developing pynxtools
.
What should you should know before this tutorial?¶
- You should read our guide on getting started
- You should read the installation tutorial
What you will know at the end of this tutorial?¶
You will know
- how to setup your environment for developing pynxtools
- how to make changes to the software
- how to test the software
- how to contribute on GitHub
- how to use pynxtools as a NOMAD plugin
Contributing¶
Structure of the pynxtools repository
The software tools are located inside src/pynxtools
. They are shipped with unit tests located in tests
. Some examples from the scientific community are provided in examples
. They guide you through the process of converting instrument data into the NeXus standard and visualizing the files' content.
Setup¶
It is recommended to use python 3.11 with a dedicated virtual environment for this package. Learn how to manage python versions and
virtual environments. We recommend using uv
, an extremely fast manager Python package and project manager. In this tutorial, you will find paralleled descriptions, using either uv
or a more classical approach using venv
and pip
.
Start by creating a virtual environment:
That command creates a new virtual environment in a directory called .venv.
Development installation¶
We start by cloning the repository:
git clone https://github.com/FAIRmat-NFDI/pynxtools.git \\
--branch master \\
--recursive pynxtools
cd pynxtools
git submodule sync --recursive
git submodule update --init --recursive --jobs=4
Note that we are using the NeXus definitions as a Git submodule. The last two lines initiate the submodule and upgrade it to match the first used in pynxtools.
Next, we install the package in editable mode (together with its dependencies):
Linting and formatting¶
We are using ruff and mypy for linting, formatting, and type checking. It is recommended to use the pre-commit hook available for ruff which formats the code and checks the linting before actually making an actual Git commit.
Install the precommit by running
from the root of this repository.
Testing¶
There exist unit tests for the software written in pytest which can be used as follows:
Editing the documentation¶
We are using `mkdocs for the documentation. If you edit the documentation, you can build it locally. For this, you need to install an additional set of dependencies:
You can then serve the documentation by running
Running the examples¶
A number of examples exist which document how the tools can be used. For a standalone usage convenient jupyter notebooks are available for some of the tools. To use these notebooks, jupyter and related tools have to be installed in the development environment as follows:
Contributing to the package on Github¶
Once you are happy with the changes, please commit them on a separate branch and create a pull request on GitHub. We run a number of GitHub actions that check the correct linting, run the tests in an isolated environment, and build the documentation. Once these pass and a peer review of the code has occurred, your code will be accepted
Developing pynxtools as a NOMAD plugin¶
If you plan to contribute to the NOMAD plugin functionality of pynxtools
, it often makes sense to use the NOMAD development environment called nomad-distro-dev
. You can learn more in the NOMAD documentation.
Troubleshooting¶
If you face any issues with the tool or when setting up the development environment, please create a new Github Issue.