amazon-codeguru-jupyterlab-extension 1.1.1

Security, code quality, and ML recommendations

Amazon CodeGuru JupyterLab Extension

Amazon CodeGuru extension for JupyterLab and SageMaker Studio. This extension runs scans on your notebook files and provides security recommendations and quality improvements to your code.

Requirements

• JupyterLab >= 3.0

Install

pip install amazon_codeguru_jupyterlab_extension

Uninstall

pip uninstall amazon_codeguru_jupyterlab_extension

Development

Prerequisites

Ensure the following dependencies are available in your environment.

• Python >= 3.8
• JupyterLab >= 3.0
• NodeJS >= 18

Alternatively, you can create a conda virtual environment with the following commands:

conda env update --file binder/environment.yml
conda activate amazon-codeguru-extension-demo

Manual Setup

1. Install the Python package in development mode.

pip install -e .

2. Link the extension with JupyterLab.

jupyter labextension develop . --overwrite

3. Build the Typescript source.

jlpm build
# or
jlpm watch # automatically rebuild changes

4. Start the JupyterLab server

jupyter lab

Quick Setup

Run the following command to quickly build and install the extension.

python3 binder/postBuild

Release

This extension can be distributed as a Python package. First, install build dependencies:

pip install build twine hatch

Bump the version using hatch. By default this will create a tag.

hatch version <new-version>

To generate a new Python source package (.tar.gz) and the binary package (.whl) in the dist/ directory, run the following command:

python -m build

Then to upload the package to PyPI, run the following command:

twine upload dist/*

Security

See SECURITY for more information.

License

This project is licensed under the Apache-2.0 License.