ksmm 0.0.4

An extension to manage IPython Kernels from Jupyter

Kernel Specification Manager JupyterLab Extension

Name

ksmm is a temporary name, originally standing for Kernel Spec Manager Manger

This Jupyter Extension allows users to edit specific components of their IPython Kernels from within Jupyter.

Current Features:

• Kernel Editing: name, attributes.
• Kernel Duplication.
• Kernel Deletion.

Not implemented yet:

• "New" Kernel Additions.

Goal

On large distributed systems, it is common to wish to parametrize kernels and chose parameters for a remote environment, like number of CPU, Memory limit, presence of GPU. Or even set other parameters in environment variables.

This currently requires to create a new kernelspec for jupyter using the command line which can be a tedious and complicated task.

Modifying existing kernelspec also does not always works as they are cached on a per notebook.

This is an attempt to provide a UI based on json-schema and templates, for end users to easily create, duplicate and modify kernelspec, without being exposed to too much of the internal details.

The current goal would be to provide an editor for kernelspec that would given a kernelspec template like the following.

{
  "argv": [
    "slurm", "run", "--mem={mem}", "--cpu={cpu}", "python3.8", "-m", "ipykernel"
  ],
  "display_name": "Python 3.8 {mem}/{cpu}",
  "params": {
    "mem": ["100G", "500G", "1T"],
    "cpu": { "min": 1, "max": 300}
  }
}

Generate a kernelspec modification UI with a Dropdown for the memory with available values, and for example a slider for the CPU.

This would let non-technical user in for example JupyterHub to quickly modify Kernelspecs.

Running from Source

Use the provided environment.yaml to install the conda environment.

conda deactivate && \
  make env-rm && \
  make env
conda activate ksmm

# Install the server and frontend in dev mode.
make install-dev

# In terminal 1, Start the jupyterlab.
# open http://localhost:8234?token=...
make jlab

# In terminal 2, start the extension building in watch mode.
make watch

Installing the Server Extension

pip install ksmm

This will install the extension inside the current JupyterLab Environment. This is typically the latest release from the main branch.

When making changes to the extension you will need to issue a jupyter labextension build, or, start jlpm run watch in the root of the repository to rebuild on every changes. You do not need to restart or rebuild JupyterLab for changes on the frontend extensions, but do need to restart the server for changes to the Python code.

Screenshots

Below are screenshots from the usage of the application.

Home Screen

General Settings

Launch Arguments