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-0.1.2.tar.gz (126.2 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-0.1.2-py3-none-any.whl (27.7 kB view details)

Uploaded Python 3

File details

Details for the file nomad_analysis-0.1.2.tar.gz.

File metadata

  • Download URL: nomad_analysis-0.1.2.tar.gz
  • Upload date:
  • Size: 126.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for nomad_analysis-0.1.2.tar.gz
Algorithm Hash digest
SHA256 5f7e33d37b4c621684bc0321a616d0b647f473b67c1185f7f21e70a9c3332ee2
MD5 5194ee748cd2b60ee37c027bc57528bf
BLAKE2b-256 c725ef3282d0c6d74acced40a04c433055d5e850e515e1b3aeb7cb5ab90d9ba8

See more details on using hashes here.

File details

Details for the file nomad_analysis-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: nomad_analysis-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 27.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for nomad_analysis-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1343b458ea11a37b97c17f84034d5fab759d229d04df981bd29a6dcfe23b14f9
MD5 03f61b37c454bbb859a1b3b2c1515dc6
BLAKE2b-256 535a48767903bf1ec4f1ed6075c5a5a76e0c1030e300fbd3360599f63f412a95

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