Package: dataproc-jupyter-plugin
dataproc_jupyter_pluginIt is a plugin to work with dataproc services in JupyterlabThis extension is composed of a Python package nameddataproc_jupyter_pluginfor the server extension and a NPM package nameddataproc_jupyter_pluginfor the frontend extension.RequirementsJupyterLab >= 3.6.0InstallTo install the extension, execute:pipinstalldataproc_jupyter_pluginUninstallTo remove the extension, execute:pipuninstalldataproc_jupyter_pluginTroubleshootIf you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:jupyterserverextensionlistIf the server extension is installed and enabled, but you are not seeing
the frontend extension, check the frontend extension is installed:jupyterlabextensionlistContributingDevelopment installNote: You will need NodeJS to build the extension package.Thejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.# Clone the repo to your local environment# Change directory to the dataproc_jupyter_plugin directory# Install package in development modepipinstall-e".[test]"# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Server extension must be manually installed in develop modejupyterserverextensionenabledataproc_jupyter_plugin# Rebuild extension Typescript source after making changesjlpmbuildYou 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 neededjlpmwatch# Run JupyterLab in another terminaljupyterlabWith 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, thejlpm buildcommand 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:jupyterlabbuild--minimize=FalseDevelopment uninstall# Server extension must be manually disabled in develop modejupyterserverextensiondisabledataproc_jupyter_plugin
pipuninstalldataproc_jupyter_pluginIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink nameddataproc_jupyter_pluginwithin that folder.Testing the extensionServer testsThis extension is usingPytestfor Python code testing.Install test dependencies (needed only once):pipinstall-e".[test]"# Each time you install the Python package, you need to restore the front-end extension linkjupyterlabextensiondevelop.--overwriteTo execute them, run:pytest-vv-rap--covdataproc_jupyter_pluginFrontend testsThis extension is usingJestfor JavaScript code testing.To execute them, execute:jlpm
jlpmtestIntegration testsThis extension usesPlaywrightfor the integration tests (aka user level tests).
More precisely, the JupyterLab helperGalatais used to handle testing the extension in JupyterLab.More information are provided within theui-testsREADME.Packaging the extensionSeeRELEASE