👋 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.

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

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.

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
mv 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

./devops/build.sh
./devops/start.sh
./devops/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.

# on lms root directory
flake8 lms

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