pantheon-notebook 0.1.3

A JupyterLab extension for Pantheon CLI integration with floating input widget

Pantheon Notebook

A JupyterLab extension that integrates Pantheon CLI capabilities into Jupyter notebooks through a floating input widget.

Features

• 🎯 Floating Input Widget: A non-intrusive floating panel at the bottom of JupyterLab
• 💬 Natural Language to Code: Generate code using natural language descriptions
• ⌨️ Keyboard Shortcuts:
  • Enter: Send query
  • Ctrl/Cmd + Enter: Send query (alternative)
  • Shift + Enter: New line in input
  • Ctrl + Up/Down: Navigate query history
• 🔄 Query History: Access previous queries easily
• 📝 Direct Cell Insertion: Generated code is automatically inserted into notebook cells
• 🎨 Theme Support: Adapts to JupyterLab light/dark themes

Installation

Development Installation

1. Clone the repository:

git clone https://github.com/yourusername/pantheon-notebook.git
cd pantheon-notebook

2. Install the package in development mode:

# Install package dependencies
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

3. Start JupyterLab:

jupyter lab

Production Installation

pip install pantheon-notebook

Development

Setup

# Install dependencies
jlpm install

# Build TypeScript source
jlpm build

# Build TypeScript source in watch mode
jlpm watch

# Build extension
jlpm build:labextension

Project Structure

pantheon-notebook/
├── src/                          # TypeScript source files
│   ├── index.ts                 # Extension entry point
│   └── widget.ts                # Floating input widget implementation
├── style/                       # CSS styles
│   └── index.css               # Widget styles
├── pantheon_notebook/          # Python package
│   └── __init__.py            # Python package initialization
├── package.json                # Node.js package configuration
├── tsconfig.json              # TypeScript configuration
└── pyproject.toml             # Python package configuration

Usage

1. Open JupyterLab
2. The Pantheon floating widget will appear at the bottom of the interface
3. Type your query in natural language (e.g., "Load data.csv and show first 5 rows")
4. Press Enter to generate code
5. The generated code will be inserted as a new cell in your notebook
6. Edit the generated code as needed

Roadmap

• Backend integration with Pantheon CLI
• Streaming code generation
• Context-aware code generation (analyze existing notebook cells)
• Support for multiple programming languages (Python, R, Julia)
• Code execution options (auto-execute, preview mode)
• Advanced UI features (code preview, syntax highlighting)
• Export/import query history
• Collaborative features

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT

http://127.0.0.1:8888/lab?token=b68740cbea579cb06fbaf61e54fa5093efa041674915814