MoLoRa Data Models
RAModels - MoLoRa data validation models powered by pydantic.
Versioning
This project uses Semantic Versioning with the following strategy:
- MAJOR: Incompatible changes to existing data models
- MINOR: Backwards compatible updates to existing data models OR new models added
- PATCH: Backwards compatible bug fixes
Authors
Magenta ApS https://magenta.dk
License
This project uses REUSE for licensing. All licenses can be found in the LICENSES folder of the project.
Development
Prerequisites
Getting Started
-
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
Running the tests
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 usage
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
Models
LoRa
LoRa implements the OIO standard version 1.1. The standard with
specification
Release files for ramodels 68.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ramodels-68.4.0.tar.gz | 21.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ramodels-68.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 55.8 kB
Release files / ramodels-68.4.0.tar.gz
| Download URL | ramodels-68.4.0.tar.gz |
|---|---|
| Size | 21.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.17 Linux/6.12.94+
|
Release files / ramodels-68.4.0-py3-none-any.whl
| Download URL | ramodels-68.4.0-py3-none-any.whl |
|---|---|
| Size | 34.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.17 Linux/6.12.94+
|
