nomad-utility-workflows plugin
Utilities for interfacing with NOMAD within workflows, e.g., via a workflow manager, including python API functions for uploading to NOMAD and querying the repository as well as automated generation of NOMAD custom workflow yaml file (NOMAD workflow data models).
This nomad plugin was generated with Cookiecutter along with @nomad's cookiecutter-nomad-plugin template.
Usage
For direct usage and integrating the utility module into other plugins or codes, nomad-utility-workflows is available as a PyPI package:
pip install nomad-utility-workflows>=0.2.0
If you are following the How-to guides in the docs, use the "vis" optional dependencies tag (includes dependencies for, e.g., Jupyter notebook and graph visualization):
pip install nomad-utility-workflows[vis]>=0.2.0
[!CAUTION] There were breaking changes made in the transition to
nomad-utility-workflowsversion 0.2.0. This is particularly relevant for the functions called for building the workflow yaml. To use older versions, you should reference the corresponding docs pages by checking out an older branch and serving the mkdocs page locally (See README.md).
[!CAUTION] There were breaking changes made in the transition to
nomad-utility-workflowsversion 0.1.0. This is particularly relevant for the structure of inputs of the workflow graph generation functions. To use older versions, you should reference the corresponding docs pages by checking out an older branch and serving the mkdocs page locally (See README.md).
Linking to your NOMAD account
Create an account on https://nomad-lab.eu/.
Store your credentials in a .env file in your working directory, at the root plugin directory for developers, or in some directory that is added to your PYTHONPATH, with the following content
NOMAD_USERNAME="MyLogin"
NOMAD_PASSWORD="MyPassWord"
and insert your username and password.
[!CAUTION] Never push your
.envfile to a repository. This would expose your password.
Test Notebooks
To run the test notebooks, create a jupyter kernel using your venv:
python -m ipykernel install --user --name=nomad_utility_workflows
Development
If you want to develop this module locally, clone the project and in the plugin folder, create a virtual environment (you can use Python 3.10, or 3.11):
git clone https://github.com/FAIRmat-NFDI/nomad-utility-workflows.git
cd nomad-utility-workflows
python3.11 -m venv .pyenv
. .pyenv/bin/activate
Make sure to have pip upgraded:
pip install --upgrade pip
We recommend installing uv for fast pip installation of the packages:
pip install uv
Install the nomad-lab package:
uv pip install '.[vis,dev]'
The plugin is still under development. If you would like to contribute, install the package in editable mode (with the added -e flag):
uv pip install -e '.[vis,dev]'
Run the tests
You can run locally the tests:
python -m pytest -sv tests
where the -s and -v options toggle the output verbosity.
Our CI/CD pipeline produces a more comprehensive test report using the pytest-cov package. You can generate a local coverage report:
uv pip install pytest-cov
python -m pytest --cov=src tests
Run linting and auto-formatting
We use Ruff for linting and formatting the code. Ruff auto-formatting is also a part of the GitHub workflow actions. You can run locally:
ruff check .
ruff format . --check
Debugging
For interactive debugging of the tests, use pytest with the --pdb flag. We recommend using an IDE for debugging, e.g., VSCode. If that is the case, add the following snippet to your .vscode/launch.json:
{
"configurations": [
{
"name": "<descriptive tag>",
"type": "debugpy",
"request": "launch",
"cwd": "${workspaceFolder}",
"program": "${workspaceFolder}/.pyenv/bin/pytest",
"justMyCode": true,
"env": {
"_PYTEST_RAISE": "1"
},
"args": [
"-sv",
"--pdb",
"<path-to-plugin-tests>",
]
}
]
}
where <path-to-plugin-tests> must be changed to the local path to the test module to be debugged.
The settings configuration file .vscode/settings.json automatically applies the linting and formatting upon saving the modified file.
Documentation on Github pages
To view the documentation locally, install the related packages using:
uv pip install -r requirements_docs.txt
Run the documentation server:
mkdocs serve
How to cite this work
Rudzinski, J.F., Albino, A., Bereau, T., Daelman, N., Ladines, A.N., Mohr, B., Pedersen, J., Walter, L.J., NOMAD Utility Workflows (all versions) [Computer software]. https://zenodo.org/doi/10.5281/zenodo.14895189
Main contributors
| Name | |
|---|---|
| Joseph F. Rudzinski | joseph.rudzinski@physik.hu-berlin.de |
| Andrea Albino | |
| Tristan Bereau | |
| Nathan Daelman | |
| Alvin N. Ladines | |
| Bernadette Mohr | |
| Jesper Pedersen | |
| Luis J. Walter |
Metadata
Release files for nomad-utility-workflows 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nomad_utility_workflows-0.3.2.tar.gz | 14.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nomad_utility_workflows-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.3 MB
Release files / nomad_utility_workflows-0.3.2.tar.gz
| Download URL | nomad_utility_workflows-0.3.2.tar.gz |
|---|---|
| Size | 14.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a1204a256e620b0b128a41f012ac60caa44cc8c8b468125d0ac6389a9fce1ab3
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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Signed by GitHub Actions, verified by PyPI on Jun 28, 2026.
Transparency logRelease files / nomad_utility_workflows-0.3.2-py3-none-any.whl
| Download URL | nomad_utility_workflows-0.3.2-py3-none-any.whl |
|---|---|
| Size | 32.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
dfd810f1ef1eff7d6672d42f52a5eaae15f4f7bdac1f90f099914c8e9600dfef
|
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BLAKE2b-256 checksum How to use checksums |
c4856f41f54472b8637d604001858db34fa210ea8291485375a898d85f2db74e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 28, 2026.
Transparency log