dbnomics-data-model 0.13.21

Define, validate and transform DBnomics data

DBnomics Data Model

In DBnomics, once data has been downloaded from providers, it is converted in a common format: the DBnomics data model.

This Python package provides:

• model classes defining DBnomics entities (provider, dataset, series, etc.) with their business logic and validation rules
• a data storage abstraction to load and save those entities
• adapters implementing the data storage abstraction (e.g. dbnomics_data_model.storage.adapters.filesystem)

This package is used in particular by the convert script of fetchers in order to save data.

Documentation

Please read https://db.nomics.world/docs/data-model/

Validate data

To validate a directory containing data written by (or compatible with) the "filesystem" adapter:

dbnomics-validate-storage <storage_dir>

This script outputs the data validation errors it finds.

Run tests

To run unit tests:

pytest

Code quality:

flake8 .

See also: https://git.nomics.world/dbnomics-fetchers/documentation/wikis/code-style

Publish a new version

For package maintainers:

git tag x.y.z
git push
git push --tags

GitLab CI will publish the package to https://pypi.org/project/dbnomics-data-model/ (see .gitlab-ci.yml).