Update kepler-jupyter to use kepler.gl v3.2.0

[karosc]

I'm not a pro js developer, but I use the keplergl python library for rendering GIS maps and wanted to fix #3045. I also tried updating the build process to accommodate @kepler.gl v3.2.0, which largely involved updating webpack to v5. I'm fine with closing this out if ya'll are not interested or think I took the wrong approach in any way.

• update kepler.gl dependencies to 3.2.0
• update webpack to v5 and migrate configs
• resize map after mounting (fix [Bug] Map not shown full height and width in notebook and html embeddings, unless re-framing the window manually #3045) - update webpack to v5 and migrate configs

[Copilot]

Pull Request Overview

Upgrade kepler.gl Jupyter bindings to kepler.gl v3.2.0 and migrate the build to webpack 5, while ensuring the map resizes correctly after mounting.

• Migrate webpack config to v5 (library/type format, fallbacks, loaders) and add necessary polyfills/loaders
• Bump kepler.gl and loaders.gl packages to 3.2.0/4.3.x respectively
• Defer data/config injection until after mount and trigger initial resize to fix map sizing in Jupyter

Reviewed Changes

Copilot reviewed 6 out of 7 changed files in this pull request and generated 6 comments.

Show a summary per file

File	Description
bindings/kepler.gl-jupyter/js/webpack/config.js	Webpack 5 migration across bundles, new loaders, env/provide plugins, AMD library output changes
bindings/kepler.gl-jupyter/js/webpack/build-html.js	Webpack 5 output format, resolve fallbacks (fs/process), UMD library config
bindings/kepler.gl-jupyter/js/package.json	Upgrade webpack/dev tooling and kepler.gl/loaders.gl versions; add process polyfill dependency
bindings/kepler.gl-jupyter/js/lib/keplergl/main.js	Render callback to load data/config after mount
bindings/kepler.gl-jupyter/js/lib/keplergl/components/root.js	Support onMounted callback via useEffect
bindings/kepler.gl-jupyter/js/lib/keplergl/components/app.js	Trigger an initial resize on mount

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[lixun910]

Sorry for the late reply. Thank you,, @karosc !

[karosc]

thanks @lixun910, who merges this? Do we just need to wait untit @igorDykhta has time? I don't want to rush things, I only want to makes sure this doesn't get forgotten.

[igorDykhta]

Thanks @karosc. Sorry, I’m not working on the Jupyter part, so I expected Xun to handle this.