jungrishi / lms

LMS allows teachers and educators to easily provide feedback on student programming work - both manually and automatically.

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Python's Course LMS

👋 Welcome to Python course learning management system. 🐍

The system objectives -

  1. Allow teachers and mentors to input exercises list and provide feedback/comments to students exercises solutions.
  2. Allow students to load their exercises solutions and get feedback to their work.

Creating development environment

Prerequisites

  1. Linux based system - either WSL on windows or full blown linux.
  2. Python
  3. Docker and docker-compose.

Minimal setup

This setup is for debug purposes and will use sqlite database and frontend only.

Steps to do:

  1. Clone this repository.
  2. Set environment variables.
  3. Run the application.
git clone https://github.com/PythonFreeCourse/lms
cd lms

export FLASK_DEBUG=1
export LOCAL_SETUP=true
export FLASK_APP=lms.lmsweb
export PYTHONPATH=`pwd`:$PYTHONPATH

cd devops
source dev_bootstrap.sh
# The initial credentials should appear in your terminal. :)

cd ..
flask run  # Run in root directory

After logging in, use localhost admin to modify entries in the database.

Full setup

This setup will create the following items:

  • Application - LMS code.
  • Middleware (messaging queue) - RabbitMQ.
  • Persistence database - PostgreSQL.

Steps to do:

  1. Clone this repository.
  2. Setup using docker & docker-compose.
  3. Run the application.
git clone https://github.com/PythonFreeCourse/lms
cd lms
cp lms/lmsweb/config.py.example lms/lmsweb/config.py
echo "SECRET_KEY = \"$(python -c 'import os;print(os.urandom(32).hex())')\"" >> lms/lmsweb/config.py

cd devops
. ./build.sh && . ./start.sh && . ./bootstrap.sh

In case you want to add the stub data to PostgreSQL DB, run:

docker exec -it lms_http_1 bash
python lmsdb/bootstrap.py

Enter http://127.0.0.1:8080, and the initial credentials should appear in your terminal. :)

After logging in, use localhost admin to modify entries in the database.

Code modification check list

Run flake8

# on lms root directory
flake8 lms

Run tests

export PYTHONPATH=`pwd`
pip install -r requirements.txt
pip install -r dev_requirements.txt
py.test -vvv

About

LMS allows teachers and educators to easily provide feedback on student programming work - both manually and automatically.

License:BSD 3-Clause "New" or "Revised" License


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