jupyterlab-judge 0.15.2

A simple online judge for Jupyter Lab.

Jupyter Lab Judge

Work In Progress.

A simple online judge for Jupyter Lab.

Highlights

Goal

• No additional system for code execution
• Solve and get result on Jupyter Lab
• Replaceable backend

No Additional System For Code Execution

Typical online judge systems require task manager for code executions. This project uses kernels to execute codes. Therefore no other system is required. However this architecture leads some security risks. It will be explained later.

Solve And Get Result On Jupyter Lab

This project includes jupyter lab extension for solving problems and submitting solutions.

Replaceable Backend

(WIP) Basically, problems are retrieved from codle.io, and submission history is stored in browsers. Problem and submission storage can be configured.

Security

In this system, code is executed at users' notebook server. Therefore test cases for problems must be delivered to the users. This could be a serious risk for some systems. Be aware of it.

Architecture

This extension is composed of a Python package named jupyterlab_judge for the server extension and a NPM package named jupyterlab-judge for the frontend extension.

Requirements

0.*.*

• JupyterLab >= 3.0

1.*.*

• JupyterLab >= 4.0

During 4.0 development process pypi 4.0.0a27 and npm 4.0.0-alpha.12 is used. Not actively maintained.

Install

To install the extension, execute:

pip install jupyterlab_judge

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab_judge

Troubleshoot

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

Contributing

Development Environment

In 0.*.*, you can create Conda environment by executing :

conda create -n jupyterlab-ext --override-channels --strict-channel-priority -c conda-forge -c nodefaults jupyterlab=3 cookiecutter nodejs jupyter-packaging git

In 1.*.*, you can create Conda environment by executing :

conda create -n jupyterlab4-ext --override-channels --strict-channel-priority -c conda-forge -c nodefaults cookiecutter nodejs jupyter-packaging git
conda activate jupyterlab4-ext
pip install jupyterlab==4.0.0a27

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlab_judge directory
# Install package in development mode
pip install -e ".[test]"
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable jupyterlab_judge
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

# Server extension must be manually disabled in develop mode
jupyter server extension disable jupyterlab_judge
pip uninstall jupyterlab_judge

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jupyterlab-judge within that folder.

Packaging the extension

See RELEASE