Skip to main content

Common library for MEx python projects.

Project description

MEx common

Common library for MEx python projects.

cookiecutter cve-scan documentation linting opencode testing

Project

The Metadata Exchange (MEx) project is committed to improve the retrieval of RKI research data and projects. How? By focusing on metadata: instead of providing the actual research data directly, the MEx metadata catalog captures descriptive information about research data and activities. On this basis, we want to make the data FAIR1 so that it can be shared with others.

Via MEx, metadata will be made findable, accessible and shareable, as well as available for further research. The goal is to get an overview of what research data is available, understand its context, and know what needs to be considered for subsequent use.

RKI cooperated with D4L data4life gGmbH for a pilot phase where the vision of a FAIR metadata catalog was explored and concepts and prototypes were developed. The partnership has ended with the successful conclusion of the pilot phase.

After an internal launch, the metadata will also be made publicly available and thus be available to external researchers as well as the interested (professional) public to find research data from the RKI.

For further details, please consult our project page.

Contact
For more information, please feel free to email us at mex@rki.de.

Publisher

Robert Koch-Institut
Nordufer 20
13353 Berlin
Germany

Package

The mex-common library is a software development toolkit that is used by multiple components within the MEx project. It contains utilities for building pipelines like a common commandline interface, logging and configuration setup. It also provides common auxiliary connectors that can be used to fetch data from external services and a re-usable implementation of the MEx metadata schema as pydantic models.

License

This package is licensed under the MIT license. All other software components of the MEx project are open-sourced under the same license as well.

Development

Installation

  • install python on your system
  • on unix, run make install
  • on windows, run .\mex.bat install

Linting and testing

  • run all linters with make lint or .\mex.bat lint
  • run unit and integration tests with make test or .\mex.bat test
  • run just the unit tests with make unit or .\mex.bat unit

Updating dependencies

  • update boilerplate files with cruft update
  • update global requirements in requirements.txt manually
  • update git hooks with pre-commit autoupdate
  • update package dependencies using uv sync --upgrade
  • update github actions in .github/workflows/*.yml manually

Creating release

  • run mex release RULE to release a new version where RULE determines which part of the version to update and is one of major, minor, patch.
  1. FAIR is referencing the so-called FAIR data principles – guidelines to make data Findable, Accessible, Interoperable and Reusable.

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

mex_common-2.0.1.tar.gz (91.5 kB view details)

Uploaded Source

Built Distribution

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

mex_common-2.0.1-py3-none-any.whl (139.0 kB view details)

Uploaded Python 3

File details

Details for the file mex_common-2.0.1.tar.gz.

File metadata

  • Download URL: mex_common-2.0.1.tar.gz
  • Upload date:
  • Size: 91.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mex_common-2.0.1.tar.gz
Algorithm Hash digest
SHA256 c43c4be740056a2594c1d9310d588e75c62fbfe03248eb3e98573449547958e5
MD5 7dad58c10616c9c68bd44c989a203e79
BLAKE2b-256 bc4e41c3a1ae86085f603112cc040809e6e95b752ec8b909163059540e5f1d4e

See more details on using hashes here.

Provenance

The following attestation bundles were made for mex_common-2.0.1.tar.gz:

Publisher: release.yml on robert-koch-institut/mex-common

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mex_common-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: mex_common-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 139.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mex_common-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b471505bdee60ccdf564a09480465dce7cf23006687c2d8c4d68627f714fc528
MD5 e5b76fe9e9bf21898085ebcca9b7952e
BLAKE2b-256 7af85a1931ca08e3725c895df3f97ac9252219e900bee0ce0474a8b7295c2289

See more details on using hashes here.

Provenance

The following attestation bundles were made for mex_common-2.0.1-py3-none-any.whl:

Publisher: release.yml on robert-koch-institut/mex-common

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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