semvec/pypi-packages huggingface dataset:
jjc-backend 0.0.1
This is the django-backend of JourneyJinks Canvas.
Requires Python: <4.0,>=3.9
Keywords: python

# jjc-backend

[![Release](https://img.shields.io/github/v/release/makanu/jjc-backend)](https://img.shields.io/github/v/release/makanu/jjc-backend)
[![Build status](https://img.shields.io/github/actions/workflow/status/makanu/jjc-backend/main.yml?branch=main)](https://github.com/makanu/jjc-backend/actions/workflows/main.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/makanu/jjc-backend/branch/main/graph/badge.svg)](https://codecov.io/gh/makanu/jjc-backend)
[![Commit activity](https://img.shields.io/github/commit-activity/m/makanu/jjc-backend)](https://img.shields.io/github/commit-activity/m/makanu/jjc-backend)
[![License](https://img.shields.io/github/license/makanu/jjc-backend)](https://img.shields.io/github/license/makanu/jjc-backend)

This is the django-backend of JourneyJinks Canvas.

- **Github repository**: <https://github.com/makanu/jjc-backend/>
- **Documentation** <https://makanu.github.io/jjc-backend/>

## Getting started with your project

### 1. Create a New Repository

First, create a repository on GitHub with the same name as this project, and then run the following commands:

```bash
git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:makanu/jjc-backend.git
git push -u origin main
```

### 2. Set Up Your Development Environment

Then, install the environment and the pre-commit hooks with

```bash
make install
```

This will also generate your `uv.lock` file

### 3. Run the pre-commit hooks

Initially, the CI/CD pipeline might be failing due to formatting issues. To resolve those run:

```bash
uv run pre-commit run -a
```

### 4. Commit the changes

Lastly, commit the changes made by the two steps above to your repository.

```bash
git add .
git commit -m 'Fix formatting issues'
git push origin main
```

You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPI, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/codecov/).

## Releasing a new version

- Create an API Token on [PyPI](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/makanu/jjc-backend/settings/secrets/actions/new).
- Create a [new release](https://github.com/makanu/jjc-backend/releases/new) on Github.
- Create a new tag in the form `*.*.*`.

For more details, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/cicd/#how-to-trigger-a-release).

---

Repository initiated with [fpgmaas/cookiecutter-uv](https://github.com/fpgmaas/cookiecutter-uv).
omop-pydantic 0.1.0
Simple Pydantic models for OMOP CDM
Requires Python: >=3.12

# omop-pydantic
A lightweight library for serializing data from OHDSI's OMOP Common Data Model using Pydantic



## Related works

For the OMOP CDM source, check out the [original project GitHub](https://github.com/OHDSI/CommonDataModel) + [Wiki](https://ohdsi.github.io/CommonDataModel/index.html)

For the true OMOP geeks, check these out too!
- [DZD-eV-Diabetes-Research/dzd-omop-cdm-python-models](https://github.com/DZD-eV-Diabetes-Research/dzd-omop-cdm-python-models/tree/main)
- [OHDSI/Hestia](https://github.com/OHDSI/Hestia)