Add Jupyter Notebook Support for SageMath

IMPLEMENTATION_SUMMARY.md

@@ -0,0 +1,87 @@
+# Implementation Summary: SageMath Notebook Support
+
+## Overview
+Successfully implemented comprehensive notebook support for the SageMath VS Code extension, addressing the user request for SageMath code highlighting and execution in Jupyter notebooks.
+
+## Features Implemented
+
+### 1. Notebook Kernel Support
+- **`SageMathNotebookController`**: A dedicated notebook controller class that:
+  - Registers as a notebook kernel for Jupyter notebooks
+  - Supports both 'sage' and 'python' languages
+  - Provides execution ordering and proper cell lifecycle management
+  - Handles temporary file creation and cleanup
+
+### 2. Code Execution
+- **Cell Execution Engine**: 
+  - Creates temporary .sage files for each cell
+  - Executes using the configured SageMath interpreter
+  - Handles both stdout and stderr output
+  - Supports existing WSL configuration for Windows users
+  - Automatic cleanup of temporary files (.sage and .sage.py)
+
+### 3. Configuration
+- **New Settings**:
+  - `sagemathEnhanced.notebookKernelEnabled`: Enable/disable notebook kernel
+  - Reuses existing interpreter path and WSL settings
+
+### 4. Error Handling
+- **Robust Error Management**:
+  - Displays execution errors in notebook cell outputs
+  - Handles timeout scenarios (30-second limit)
+  - Provides informative error messages
+  - Graceful handling of missing SageMath installation
+
+### 5. Integration
+- **Seamless Extension Integration**:
+  - Added notebook controller to main extension activation
+  - Maintains compatibility with existing .sage file functionality
+  - Proper disposal and cleanup on extension deactivation
+
+## Package.json Updates
+- Added `notebooks` contribution for Jupyter notebook support
+- Extended grammar support for notebook contexts
+- Added new configuration properties
+- Maintained backward compatibility
+
+## Documentation
+- **Updated README.md**: Added notebook usage instructions and features
+- **Created NOTEBOOK_SUPPORT.md**: Comprehensive guide for notebook functionality
+- **Sample Notebook**: Created `test-notebook.ipynb` with diverse examples
+
+## Testing
+- Enhanced test suite with extension activation tests
+- Created comprehensive test notebook with various SageMath examples
+- Verified TypeScript compilation and build process
+
+## Key Benefits
+1. **Syntax Highlighting**: SageMath syntax highlighting automatically works in notebook cells
+2. **IntelliSense Support**: Language features extend to notebook context
+3. **Execution Integration**: Uses existing SageMath runner infrastructure
+4. **Configuration Consistency**: Respects all existing extension settings
+5. **Error Feedback**: Clear error reporting for debugging
+6. **Cross-Platform**: Supports Windows (with WSL), macOS, and Linux
+
+## File Structure
+```
+src/
+├── extension.ts           # Main extension with notebook controller integration
+├── notebookController.ts  # Notebook kernel implementation
+└── test/
+    └── extension.test.ts  # Enhanced tests
+
+out/                       # Compiled JavaScript files
+NOTEBOOK_SUPPORT.md        # Notebook documentation
+test-notebook.ipynb        # Sample notebook
+```
+
+## User Experience
+Users can now:
+1. Open .ipynb files in VS Code
+2. Select "SageMath" from the kernel picker
+3. Write SageMath code with syntax highlighting
+4. Execute cells and see output directly in notebooks
+5. Debug errors with proper error reporting
+6. Use all existing extension configuration options
+
+This implementation provides a complete notebook experience that integrates seamlessly with the existing SageMath Enhanced extension functionality.

NOTEBOOK_SUPPORT.md

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+# SageMath Notebook Support
+
+This extension now provides enhanced notebook support for SageMath code in Jupyter notebooks within VS Code.
+
+## Features
+
+### Notebook Kernel
+- **SageMath Kernel**: A dedicated notebook kernel for running SageMath code in Jupyter notebook cells
+- **Cell Execution**: Execute SageMath code directly in notebook cells with proper output handling
+- **Error Handling**: Display execution errors and warnings in notebook cell outputs
+- **Syntax Highlighting**: SageMath syntax highlighting works automatically in notebook cells
+
+### Configuration
+- **Enable/Disable Kernel**: Control notebook kernel availability via settings
+- **Interpreter Path**: Use the same SageMath interpreter path setting for both files and notebooks
+- **WSL Support**: Notebook execution respects WSL settings for Windows users
+
+## Usage
+
+1. **Open a Jupyter Notebook** (`.ipynb` file) in VS Code
+2. **Select SageMath Kernel**: Choose "SageMath" from the kernel picker in the notebook interface
+3. **Write SageMath Code**: Write SageMath code in notebook cells (language should be set to "sage" or "python")
+4. **Execute Cells**: Run cells to execute SageMath code and see the output
+
+## Settings
+
+The following settings control notebook behavior:
+
+- `sagemathEnhanced.notebookKernelEnabled`: Enable/disable the SageMath notebook kernel (default: true)
+- `sagemathEnhanced.interpreterPath`: Path to SageMath interpreter (default: "sage")
+- `sagemathEnhanced.useWSL`: Use WSL for SageMath execution on Windows (default: false)
+
+## Example Notebook
+
+The extension includes a sample notebook (`test-notebook.ipynb`) demonstrating SageMath functionality in notebooks.
+
+## Requirements
+
+- Visual Studio Code with Jupyter extension
+- SageMath installed and accessible from command line
+- Proper configuration of `sagemathEnhanced.interpreterPath` setting if SageMath is not in PATH

README.md

@@ -30,6 +30,7 @@ Enhance your SageMath coding experience in Visual Studio Code with the SageMath
 ## Features
 
 - **Run SageMath Code**: Directly execute `.sage` files from the editor with a simple click.
+- **Jupyter Notebook Support**: Execute SageMath code in Jupyter notebook cells with dedicated kernel support.
 - **Syntax Highlighting**: Enjoy enhanced syntax highlighting tailored for SageMath-specific operations and functions.
 - **Integrated Terminal**: Interact with SageMath directly within VS Code's integrated terminal.
 - **Automatic `.sage.py` File Cleanup**: Automatically deletes the temporary `.sage.py` file generated after running a SageMath script, keeping your workspace clean.
@@ -66,9 +67,17 @@ Using the SageMath Enhanced extension is simple and intuitive, providing a seaml
 3. **Automatic Cleanup**: If enabled in the extension settings, the temporary `.sage.py` file generated during execution will be automatically deleted after the script finishes running.
 4. **WSL Support**: If you're on Windows and have WSL installed, the extension can run SageMath scripts inside WSL for enhanced compatibility.
 
+### Using SageMath in Jupyter Notebooks
+
+1. **Open a Jupyter Notebook**: Open any `.ipynb` file in VS Code (requires the Jupyter extension).
+2. **Select SageMath Kernel**: In the notebook interface, click on the kernel picker and select "SageMath" from the available kernels.
+3. **Write SageMath Code**: Write SageMath code in notebook cells. The syntax highlighting will work automatically.
+4. **Execute Cells**: Run individual cells or all cells to execute SageMath code and see the output directly in the notebook.
+
 ### Viewing Output
 
 - **Integrated Terminal**: The output from your SageMath script, along with any errors or warnings, will be displayed in VS Code's integrated terminal. This allows for easy debugging and interaction with your code.
+- **Notebook Output**: For notebooks, output appears directly below each executed cell, similar to other Jupyter kernels.
 
 ## Requirements
 
@@ -95,6 +104,7 @@ This project is licensed under the AGPL-3.0 License - see the [LICENSE](LICENSE)
 
 ## TODO (Also Known As "Need Help")
 
+- [x] **Notebook Support**: Enable SageMath code execution and syntax highlighting in Jupyter notebooks.
 - [ ] **Code Completion**: Enhance code completion for SageMath-specific syntax.
 - [ ] **Interactive Plots**: Enable rendering of interactive SageMath plots within VS Code.
 - [ ] **Documentation Integration**: Provide direct access to SageMath documentation via hover tooltips.