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.
1 maintainer
Metadata
1 maintainer
Release files for welearn-database 1.5.2
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| File | Size | Uploaded | Provenance | |
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| welearn_database-1.5.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 74.2 kB
Release files / welearn_database-1.5.2.tar.gz
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