Skip to main content

A NOMAD plugin for analysis of FAIR data.

Project description

NOMAD

NOMAD's Analysis plugin

This is a plugin for NOMAD to facilitate analysis of processed entry archives. The plugin provides schemas to create entries for analysis that can interact with other entries, using them as analysis inputs. Jupyter Analysis schemas generate analysis entries that are connected with an external programming interface, JupyterHub, which allows users to run custom code on the connected input entries.

To install the package as a dependency for your NOMAD Oasis, add it to your pyproject.toml as under project.dependencies table:

[project]
dependencies = [
    ...
    "nomad-analysis",
]

Or you can use pip to install the package in your Python environment:

pip install nomad-analysis

Development

The plugin is still under development. If you would like to contribute, follow these steps:

Install the dependencies

Clone the project and go into the cloned directory. Create and start a virtual environment (note this project uses Python 3.11):

git clone https://github.com/FAIRmat-NFDI/nomad-analysis.git
cd nomad-analysis
python3.11 -m venv .pyenv
source .pyenv/bin/activate

Install the nomad-analysis package in editable mode (with -e flag) along with development dependencies (with '.[dev]'):

pip install --upgrade pip
uv pip install -e '.[dev]'

Note: uv uses NOMAD's internal package registry via index-url defined under tool.uv.index-url in pyproject.toml. If you want to use pip directly without uv wrapper, use the following:

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

Run the tests

You can run the unit testing using the pytest package:

python -m pytest -sv

We recommend to install the coverage and coveralls packages for a more comprehensive output of the testing:

pip install coverage coveralls
python -m coverage run -m pytest -sv

Set up the plugin on your local installation

Read the NOMAD plugin documentation for all details on how to deploy the plugin on your local NOMAD installation. In summary:

  1. Install the plugin repo in your local installation environment

    pip install -e <path to the plugin repo>
    
  2. From the following available entry points, include the ones you want (or all) in the nomad.yaml of your local installation:

    plugins:
      include:
        - nomad_analysis.general:schema
        - nomad_analysis.jupyter:schema
    

Run linting and auto-formatting

Ruff auto-formatting is also a part of the GitHub workflow actions. Make sure that before you make a Pull Request to add your contributions to this repo, the following commands run in your local without any errors otherwise the workflow action will fail.

ruff check .
ruff format . --check

Alternatively, if you are using VSCode as your IDE, we added the settings configuration file, .vscode/settings.json, such that it performs ruff format whenever you save progress in a file.

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_analysis-0.2.1.tar.gz (127.7 kB view details)

Uploaded Source

Built Distribution

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

nomad_analysis-0.2.1-py3-none-any.whl (30.1 kB view details)

Uploaded Python 3

File details

Details for the file nomad_analysis-0.2.1.tar.gz.

File metadata

  • Download URL: nomad_analysis-0.2.1.tar.gz
  • Upload date:
  • Size: 127.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for nomad_analysis-0.2.1.tar.gz
Algorithm Hash digest
SHA256 67d0f0ceb4171387615b2dbe39badb2ffb1b52a819b6937b666071d50dddf599
MD5 ebc35d4059ec923e86b75cf35e613e4c
BLAKE2b-256 0eedba9cd8519071f0502d2c91924b8646d9fc842ebea550a3b01808be163221

See more details on using hashes here.

File details

Details for the file nomad_analysis-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: nomad_analysis-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 30.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for nomad_analysis-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a57355733fd15bb4b8211061ab349bebe72318634bd60daeab0345d61699018d
MD5 79a1917ed9e87cbd3c12a89d346de7e1
BLAKE2b-256 da3795186e61a1dbc4e4653df990fed2ded9303d865985cffb900c707465f29e

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