jupyterlab-executor 2023.1.0

JupyterLab extension of executing the scripts

jupyterlab-executor

JupyterLab extension of executing the scripts

The extension helps the user execute the script in the terminal and provides multiple common executors, e.g. bash and python. Users can customise the executors in the settings as well.

Notes: As many users are still using JupyterLab 2.x and not yet migrated to Jupyter 3.x, the extension supports both 2.x and 3.x until the community is mostly moved to JupyterLab 3.x. The package version in npm may not catch up with the PyPI version sometimes.

Requirements

• JupyterLab >= 2.0

Install

• For JupyterLab >= 3.0, the package can be installed via PyPI

pip install jupyterlab_executor

• For JupyterLab == 2.x, the package is provided only in npm

jupyter labextension install @gavincyi/jupyterlab-executor

Customisation

The executors can be customised from the JupyterLab settings.

Alternatively, the customisation JSON file can be appended into the users setting directory. The file path should be $HOME/.jupyter/lab/user-settings/@gavincyi/jupyterlab-executor/executor.jupyterlab-settings and the format is like the following

{
    "executors": [
        {
            "name": "bash",
            "command": "bash {path} {args}"
        },
        {
            "name": "python",
            "command": "python {path} {args}"
        },
        ...
    ]
}

The executors variable is a list of descriptions, of which

1. name is the string shown in the dialog

2. command is the executor command template to run, where {path} is the file path returned by the content manager in the JupyterLab, and args is the arguments passed in by the users.

The environment variables are always appended at the beginning of the command.

For example, the following execution parameters

run the following command on the terminal

PYTHONPATH=. bash test.py --time 1

Contributing

Roadmap

The following features are not yet completed but on the roadmap.

• Support script argument template

• Support default script arguments

The above features will come out very soon.

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_executor directory
# Install jupyter-packaging
pip install jupyter-packaging==0.7.12
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run 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 run 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 run 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

Uninstall

pip uninstall jupyterlab_executor

Release

The release should follow the below steps

JupyterLab 3.x

1. make clean

2. make venv-jupyterlab-3.x

3. source venv-jupyterlab-3.x/bin/activate

4. make release

JupyterLab 2.x

1. Check out the feature/jupyterlab-2.x-compat branch, i.e. git checkout feature/jupyterlab-2.x-compat

2. Merge the main branch, i.e. git merge main

3. Check the package.json dependencies are not modified.

4. make clean

5. make venv-jupyterlab-2.x

6. source venv-jupyterlab-3.x/bin/activate

7. Test run, i.e. make venv-jupyterlab-2.x

8. git push origin feature/jupyterlab-2.x-compat

9. make release-npm