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JupyterLab extension adding context menu 'Refresh View' command to reload file content from disk while preserving scroll position

Project description

JupyterLab Refresh View Extension

GitHub Actions npm version PyPI version

JupyterLab extension that adds a "Refresh View" context menu command to reload file content from disk while preserving scroll position.

Features

  • Context Menu Integration - Right-click on markdown files, notebooks, or text editors to access the refresh command
  • Scroll Position Preservation - Automatically maintains your current scroll position after refreshing content
  • Command Palette Access - Available via command palette under "File Operations" category
  • Smart Enable/Disable - Only enabled when a document with context is active

Use Cases

  • Iterative Editing - Refresh files edited externally without losing your place
  • Live Documentation - Keep markdown files in sync with external updates
  • Collaborative Work - View changes from teammates without manual reload
  • Build System Integration - Refresh generated files after build processes

Requirements

  • JupyterLab >= 4.0.0

Installation

From PyPI

pip install jupyterlab-refresh-view-extension

From npm

jupyter labextension install jupyterlab_refresh_view_extension

Usage

  1. Open a markdown file, notebook, or text file in JupyterLab
  2. Right-click anywhere in the document content
  3. Select "Refresh View" from the context menu
  4. The file reloads from disk while maintaining your scroll position

Alternatively, open the command palette (Ctrl+Shift+C or Cmd+Shift+C) and search for "Refresh View".

Uninstall

pip uninstall jupyterlab-refresh-view-extension

Contributing

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_refresh_view_extension 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_refresh_view_extension

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_refresh_view_extension within that folder.

Testing the extension

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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