Pyodide Webview Integration

[goanpeca]

Fixes #15

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[Copilot]

Pull Request Overview

This PR implements Phase 1 of Pyodide integration to enable offline Python execution in VS Code webviews. The integration allows users to run Python code entirely in the browser using WebAssembly, without requiring a server connection or local Python installation.

• Adds Pyodide kernel support to the webview architecture via MutableServiceManager
• Extends message protocol to support kernel type selection (pyodide vs remote)
• Updates documentation commands from "doc" to "docs" for consistency

Reviewed Changes

Copilot reviewed 14 out of 18 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
webview/types/messages.ts	Extends message interfaces to support optional runtime and kernelType fields
webview/services/mutableServiceManager.ts	Adds Pyodide service manager creation and kernel type detection methods
webview/notebook/NotebookEditor.tsx	Implements Pyodide kernel selection handling in notebook editor
webview/lexical/LexicalWebview.tsx	Adds Pyodide kernel support to lexical document editor
webview/hooks/useRuntimeManager.ts	Extends runtime manager hook with Pyodide runtime selection
src/services/bridges/kernelBridge.ts	Adds method to connect webviews to Pyodide kernel
package.json	Renames documentation commands from "doc" to "docs"
netlify.toml	Updates build commands to use new "docs" naming
dev/docs/PYODIDE.md	Comprehensive documentation for Pyodide integration
dev/docs/DEVELOPMENT.md	Updates development guide with Pyodide architecture details
README.md	Adds Pyodide feature documentation and updates file paths
DOCUMENTATION.md	Updates documentation generation commands
CLAUDE.md	Refactors AI assistant context with Pyodide information
.github/workflows/docs.yml	Updates CI workflow to use new docs commands

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📦 Extension Build Ready!

Download the extension (works on all platforms):

📥 Download build artifact

^{The artifact contains the .vsix extension package.}

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📖 Installation Instructions

Method 1: VS Code UI

1. Download the .vsix file above
2. Open VS Code
3. Go to Extensions (Ctrl+Shift+X / Cmd+Shift+X)
4. Click ... menu → "Install from VSIX..."
5. Select the downloaded file

Method 2: Command Line

code --install-extension datalayer-jupyter-vscode.vsix

Method 3: Drag & Drop

1. Download the .vsix file
2. Drag it into the VS Code Extensions sidebar

Note: The .vsix artifact works on Windows, macOS, and Linux.

Built from commit 0d2868a • Version 0.0.6 • View workflow run