jupyterlab_tpt

My custom tweaks for using JLAB

Requirements

• JupyterLab >= 4.0.0
• jupyterlab-myst

Install

To install the extension, execute:

pip install jupyterlab_tpt

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab_tpt

misc commands

type convenience in the command palette to see the list of commands

misc keystrokes

Remember that Alt = Option on the mac

using cell tags

thanks to the jupyterlab-celltagsclasses extension, each cell has its widget (the DOM element) classes kept in sync in terms of the cell's tags; for example, after using 'Alt-Cmd-9', the current cell will have class cell-tag-hide-input added

for the record, in nb-courselevels - i.e. in the classic notebook - we had set data-tag-basic=true; it does not matter much if we don't follow the same convention here

Development

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_tpt directory
# 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 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

pip uninstall jupyterlab_tpt

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-tpt within that folder.

Packaging the extension

See RELEASE

My notes

• on using signals https://github.com/jupyterlab/extension-examples/tree/master/signals

• a very useful example of arming callbacks on changes // https://discourse.jupyter.org/t/how-to-get-output-model-for-a-given-cell-in-a-jupyterlab-extension/11342/6

• waiting for a notebook context to be ready

  notebookContext: DocumentRegistry.IContext<INotebookModel>
  notebookContext.ready.then(() => {
    /*
     * The order of operations here is key. First, create a model that contains a log of
     * executed cells and the state of the gather UI.
     */
    let notebookModel = notebookContext.model;
    ...
  })