Skip to main content

A NOMAD plugin for FAIR schemas for simulation data.

Project description

NOMAD DOI

nomad-simulations

The nomad-simulations is an open-source Python package for managing Materials Science simulation data. It is following the plugin architechture of NOMAD. This package contains a set of section definitions (Python classes) with quantities (attributes) and methods defined to automate data extraction from different simulation codes. These section definitions can be used at any prefered level by the user, they can be modified and extended, and we welcome external collaborators.

Read more in the official documentation page.

Getting started

nomad-simulations can be installed as a PyPI package using pip:

[!WARNING] Unfortunately, the current plugin mechanism is not supported by the latest nomad-lab version on PyPI and therefore an index url pointing to the NOMAD Gitlab registry needs to be added.

pip install nomad-simulations --index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple

Development

If you want to develop locally this package, clone the project and in the workspace folder, create a virtual environment (you can use Python 3.9, 3.10, or 3.11):

git clone https://github.com/nomad-coe/nomad-simulations.git
cd nomad-simulations
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 '.[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 '.[dev]'

Note: If you do not use uv, you need to add the --index-url flag as in the PyPI command for installing the package:

pip install -e '.[dev]' --index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple

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

You can also run the script to generate a local file coverage.txt with the same information:

./scripts/generate_coverage_txt.sh

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

Adding this plugin to NOMAD

Currently, NOMAD has two distinct flavors that are relevant depending on your role as an user:

  1. A NOMAD Oasis: any user with a NOMAD Oasis instance.
  2. Local NOMAD installation and the source code of NOMAD: internal developers.

Adding this plugin in your NOMAD Oasis

Read the NOMAD plugin documentation for all details on how to deploy the plugin on your NOMAD instance.

Adding this plugin in your local NOMAD installation and the source code of NOMAD

Modify the script under /nomad/scripts/install_default_plugins.sh and add the path to this repository pointing to the @develop branch:

<other-content-in-install_default_plugins.sh...>
git+https://github.com/nomad-coe/nomad-simulations.git@develop

Then, go to your NOMAD folder, activate your NOMAD virtual environment and run:

deactivate
cd <route-to-NOMAD-folder>/nomad
source .pyenv/bin/activate
./scripts/setup_dev_env.sh

Alternatively and only valid for your local NOMAD installation, you can modify nomad.yaml to include this plugin:

plugins:
  entry_points:
    include:
      - ["nomad_simulations.schema_packages:nomad_simulations_plugin"]

Note! Once you modify your nomad.yaml file adding include, all the default plugins will be disconnected, so you will need to include them as well.

How to cite this work

Pizarro, J.M., Boydas, E.B., Daelman, N., Ladines, A.N., Mohr, B. & Rudzinski, J.F., NOMAD Simulations [Computer software]. https://zenodo.org/doi/10.5281/zenodo.13838811

Main contributors

Name E-mail Topics Github profiles
Dr. Nathan Daelman nathan.daelman@physik.hu-berlin.de DFT, Precision @ndaelman-hu
Dr. Bernadette Mohr mohrbern@physik.hu-berlin.de MD, FF @Bernadette-Mohr
Dr. José M. Pizarro jose.pizarro@physik.hu-berlin.de GW, DMFT, BSE @JosePizarro3
Dr. Esma B. Boydas esma.boydas@physik.hu-berlin.de Quantum Chemistry @EBB2675
Dr. Joseph F. Rudzinski (Coordinator) joseph.rudzinski@physik.hu-berlin.de General @JFRudzinski

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

nomad_simulations-0.3.2.tar.gz (601.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nomad_simulations-0.3.2-py3-none-any.whl (96.7 kB view details)

Uploaded Python 3

File details

Details for the file nomad_simulations-0.3.2.tar.gz.

File metadata

  • Download URL: nomad_simulations-0.3.2.tar.gz
  • Upload date:
  • Size: 601.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for nomad_simulations-0.3.2.tar.gz
Algorithm Hash digest
SHA256 84d830ebf80797774e3036401599d31d37558112337b6b1ee631cd51ee17763a
MD5 a91b3ba136b522a1b4954fca8dac188b
BLAKE2b-256 4684ff0de2a0513dd1943d964b02d334270b23b7e5e594166443ea4517a67776

See more details on using hashes here.

File details

Details for the file nomad_simulations-0.3.2-py3-none-any.whl.

File metadata

File hashes

Hashes for nomad_simulations-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 07d21eaecc5fb0b00c9528e2634acef903d3b18ac6b5a88f8c0c1d95ae5967a0
MD5 03af2b0f3dd0f3122421b6d8c953c6eb
BLAKE2b-256 537bb4c43a351919c6c74d3dc8fe118845cd89c1d18272a378ba6baa708526eb

See more details on using hashes here.

Supported by

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