WeLearn Database

This repository contains the database schema and sample data for the WeLearn application, an online learning platform.

Pypi Package

You can install this pacakge via pypi :

pip install welearn-database

or you can read pypi page here

Environment Variables

Before running the application, make sure to set the following environment variables:

PG_USER=<pg user>
PG_PASSWORD=<pg password>
PG_HOST=<pg address>
PG_PORT=<pg port, 5432 by default>
PG_DB=<pg database name>
PG_DRIVER=<driver to use, pg default is : postgresql+psycopg2>
PG_SCHEMA=document_related,corpus_related,user_related,agent_related
LOG_LEVEL=INFO
LOG_FORMAT=[%(asctime)s][%(name)s][%(levelname)s] - %(message)s

Database Schema

The database schema is organized into four main schemas:

• document_related: Contains tables related to documents and their metadata.
• corpus_related: Contains tables related to corpora and their metadata.
• user_related: Contains tables related to users and their profiles.
• agent_related: Contains tables related to agents and their interactions.

How to Use

Data models are defined using SQLAlchemy ORM. You can import the models and use them to interact with the database.

from welearn_database.data.models import WeLearnDocument

Every model are accessible there, schema are handled under the hood.