Provide classes for DBnomics entities and a storage abstraction
Project description
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
).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for dbnomics_data_model-0.13.32.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 628e043919707428916832268aeb280c7148c79f71d2ff3fc782d3983c31f166 |
|
MD5 | 6964891f990fbab33e0dd50a385fb416 |
|
BLAKE2b-256 | 182eb0590735351ac1c101e32e59493f83752ad319d3d4e0564a0b81b788feb3 |
Hashes for dbnomics_data_model-0.13.32-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c24c61be36379141fba0c62cad82df07e37cd1983a500bd0a2d401377bbc1ef |
|
MD5 | e681c95269ad65c70efa15fe264a5526 |
|
BLAKE2b-256 | eb6c1174d9415c4d445c7eeb409adf6bcd6bc9f225c14b00d15493d4e8824b75 |