ramodels
Advanced tools
RAModels - MoLoRa data validation models powered by pydantic.
This project uses Semantic Versioning with the following strategy:
Magenta ApS https://magenta.dk
This project uses REUSE for licensing. All licenses can be found in the LICENSES folder of the project.
Clone the repository:
git clone git@git.magenta.dk:rammearkitektur/ra-data-models.git
Install all dependencies:
poetry install
Set up pre-commit:
pre-commit install
You use poetry and pytest to run the tests:
poetry run pytest
You can also run specific files
poetry run pytest tests/<test_folder>/<test_file.py>
and even use filtering with -k
poetry run pytest -k "Manager"
You can use the flags -vx where v prints the test & x makes the test stop if any tests fails (Verbose, X-fail)
Pre-commit must either be used via your virtual environment or globally.
If you want to pre-commit globally, the following extra dependencies are needed:
pip install mypy pydantic
LoRa implements the OIO standard version 1.1. The standard with
specification
FAQs
Pydantic data models for OS2mo
We found that ramodels demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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