pyjudilibre 0.7.2

Python client for the JUDILIBRE public API

pyJudilibre

pyJudilibre is a small Python wrapper to query the JUDILIBRE API from the French Supreme Court, la Cour de cassation. JUDILIBRE aims to give access to judiciary decisions.

Documentation

The documentation is here.

Requirements

This library relies on pydantic and httpx to perform queries to JUDILIBRE and to validate inputs and outputs. You also need credentials from PISTE.

Installation

You can install it from pyjudilibre.

pip install pyjudilibre

Simple usage

To instantiate the main class, JudilibreClient, you need to use your JUDILIBRE API key (see here).

import logging
from pyjudilibre import JudilibreClient

JUDILIBRE_API_KEY = "***"
client = JudilibreClient(
    judilibre_api_key=JUDILIBRE_API_KEY,
    logging_level=logging.DEBUG,
)

To get a decision, you need to provide its ID:

DECISION_ID = "667e51a56430c94f3afa7d0e"
decision = client.decision(decision_id=DECISION_ID)

Description of the source code

The code of the library is in lib/pyjudilibre:

• the main class and its method are in pyjudilibre.py
• the enums are in enums.py
• the pydantic models are in models.py
• spectific exceptions are defined in exceptions.py
• decorators.py contains one decorator

Other folders are as follow:

• tests contains unit tests.
• docs contains documentation files.
• scripts contains useful scripts to develop the library

Development setup

To set up a development environment, you should create a virtual environment named venv:

python3 -m venv venv
source venv/bin/activate

pip install '.[dev,build,doc,test]'

In scripts, you can use:

• refresh-lib.sh: To reinstall the latest local version of the library
• check-files.sh: To run isort, ruff and mypy on the files
• run-doc-server.sh: To serve the doc on a live local server
• run-lib-tests.sh: To run every unit test
• bump-version.sh: To bump versions in pyproject.toml, in the library files and in the documentation files.
• build-and-test.sh: To build the library, push it to Test-PyPI, pull it in a test environment and run tests.
• build-and-push.sh: To build the library, push it to PyPI.