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jupyter extension for http cell execute

Project description

jupyter_kernel_executor

Github Actions Status Jupyter extension for http cell execute

This extension is composed of a Python package named jupyter_kernel_executor for the server extension and a NPM package named jupyter_kernel_executor for the frontend extension.(NPM package is not ready yet)

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install jupyter_kernel_executor

In Linux systems, it is common to use ext or similar file systems, and through the ino attributes provided by such file systems, we can track the movement of files.

If your system meets these requirements, it is recommended that you also install jupyter_server_fileid and configure it according to this document

pip install jupyter_kernel_executor[fileid]

Uninstall

To remove the extension, execute:

pip uninstall jupyter_kernel_executor

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

Server extension API

API docs in OpenAPI3, using Swagger Editor can view it online

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 jupyter_kernel_executor directory
# Install package in development mode
pip install -e .
# 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 jupyter_kernel_executor
# 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 jupyter_kernel_executor
pip uninstall jupyter_kernel_executor

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 jupyter_kernel_executor within that folder.

Testing the extension

Server tests

This extension is using Pytest for Python code testing.

Install test dependencies (needed only once):

pip install -e ".[test]"

To execute them, run:

pytest -vv -r ap --cov jupyter_kernel_executor

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Integration tests

This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.

More information are provided within the ui-tests README.

Packaging the extension

See RELEASE

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