escriptorium-connector 0.1.2

This simple python package makes it easy to connect to an eScriptorium instance and to work with the data there.

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Escriptorium Connector

This simple python package makes it easy to connect to escriptorium and work with the data stored there.

Installation

And the obligatory: pip install escriptorium-connector

Usage

If you are working on a public repository, you will probably want to store your user credentials in a hidden .env file that does not get distributed with your code. This is pretty easy to accomplish with python-dotenv. You will need to provide the connector with an eScriptorium instance URL, the API your username, and your password (see below).

The EscriptoriumConnector class provides (or will provide) all the methods needed to interact programmatically with the eScriptorium platform.

Example usage:

from escriptorium_connector import EscriptoriumConnector
import os
from dotenv import load_dotenv


if __name__ == '__main__':
    load_dotenv()
    url = str(os.getenv('ESCRIPTORIUM_URL'))
    username = str(os.getenv('ESCRIPTORIUM_USERNAME'))
    password = str(os.getenv('ESCRIPTORIUM_PASSWORD'))
    escr = EscriptoriumConnector(url, username, password)
    print(escr.get_documents())

And your .env file should have:

ESCRIPTORIUM_URL=https://www.escriptorium.fr
ESCRIPTORIUM_USERNAME=your_escriptorium_username
ESCRIPTORIUM_PASSWORD=your_escriptorium_password

See this Jupyter notebook for a longer introduction to the connector.

Development

Want to contribute? There is a lot to be done here, so we are happy for any PRs and updates.

Development Environment

This project uses Poetry. To start development, please pull down the repo from GitLab and run poetry install, which will make sure you have all the needed dependencies for the project and that you are using a valid Python version. Please use poetry add <your-pip-package> to install any new dependencies to the project so that they will be tracked by poetry.

Uploading to Pypi

Poetry also makes uploading to Pypi very easy. Just confirm that all the package details in pyproject.toml are correct, bump the version of the package poetry version 0.0.15, and then use poetry publish --build --username $PYPI_USERNAME --password $PYPI_PASSWORD, assuming you have set the environment variables $PYPI_USERNAME and $PYPI_PASSWORD appropriately (if you are using a Pypi token, then PYPI_USERNAME=__token__ and $PYPI_PASSWORD=<your-full-pypi-token>).