This is the source code of our REST API backend implemented with the Django framework, which is open source for educational purposes and contributions.

The steps described below are suitable for deploying this project in a development environment. If you intend to deploy this to production, you can read this article.

It is assumed that Python, PIP tool and PostgreSQL database are installed on your OS.

To deploy the project you need a database, which you can create by entering the following command in the PostgreSQL shell, where <db_name> is the name of the database you want to create. Don't forget to exit the PostgreSQL shell after creating your database.

CREATE DATABASE <db_name>;

This project uses pipenv for its virtual environment, if you don't have pipenv already install it with

pip install pipenv

Now at the project root, use pipenv install command to install project dependencies listed in Pipfile. After that, use its shell command to enable the newly created virtual environment

pipenv install
pipenv shell

Copy the .env.example file content and paste it to a new file named .env at the project's root. Now fill in the variables values according to the description below.

• DEBUG: This Boolean variable can be True or False depending on environment. To run the program in the production environment, set the Boolean variable to False.
• SECRET_KEY: This is used to sign sensitive data, so it is important to generate a strong key. You can generate a key yourself or use the command

  python manage.py generate_secret_key

• ALLOWED_HOSTS: Specifies the hosts that Django can accept requests from. Separate multiple hosts with commas, or use * to accept all requests.
• CORS_ALLOWED_ORIGIN_REGEXES: This variable is a string representing regex that matches Origins that are authorized to make cross-site HTTP requests. If the DEBUG setting is True, this value will not be considered and all origins will be allowed.
• DB_NAME, DB_USER, DB_PASSWORD, DB_HOST, DB_PORT: These variables describe the database you created for this project.

Now that everything is ready, you can run the following commands to start the API.

First, we should apply database migrations

python manage.py migrate

To use the sample data, run this command (Optional)

python manage.py loaddata fixtures/admin_interface_theme_uswds.json fixtures/courses.json fixtures/course_relations.json fixtures/chartnodes.json fixtures/professors.json fixtures/tas.json fixtures/classrooms.json fixtures/references.json fixtures/resources.json fixtures/recordings.json

Now use this command to start an instance of API on your local machine

python manage.py runserver 

By default, you can access the project at localhost:8000, the admin panel at /admin route, and the API documentation at /swagger route.

To generate a diagram of the models used in the API, make sure you have Graphviz on your OS. Then, run the following commands:

python manage.py graph_models -a -g --dot -o cse_archive_erd.dot
dot -Tpng cse_archive_erd.dot -o cse_archive_erd.png

Contributions of any size are welcomed here. You only need to:

1. Fork the project.
2. Make your changes in a new branch.
3. Create a Pull Request with a title that summarizes your changes and a description that explains your changes in more detail.

If you have any enhancement ideas but don't feel like doing it yourself, you can always open a new issue for that.