lmkapp 1.0.3.dev7

Notifications you want, when you want them

LMK Python Client

Installation

You can install using pip:

pip install lmk-python

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] lmk

Development Installation

Create a dev environment:

python -m venv venv

Install the python package. This will also build the TS package.

pip install -e ".[dev,jupyter]"

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite .
pnpm build

For classic notebook, you need to run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py lmk
jupyter nbextension enable --sys-prefix --py lmk

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

How to see your changes

Typescript:

If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.

# Watch the source directory in one terminal, automatically rebuilding when needed
pnpm watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.

Python:

If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

Updating the version

To update the version, install tbump and use it to bump the version. By default it will also create a tag.

pip install bump2version
bump2version <patch|minor|major>

Notes

Juypter extension doesn't work in vscode, would need to create a vscode extension for that; see https://github.com/microsoft/vscode-jupyter#notebook-support

• It seems like vscode's notebook support may not be implemented correctly/doesn't look for modules in the same way as jupyter, because it is working on both jupyter notebook classic and jupyter lab, and in theory it should not be a problem to find the JS for the extension. Experiment

• Makes an ascii-friendly interactive version for channels more attractive

Publishing - PyPI

Build the python package:

pnpm build:python

Check the built assets:

pnpm pypi-check

Publish to the test index:

pnpm pypi-upload-test

Install from test index:

pip install --extra-index-url https://test.pypi.org/simple/ 'lmkapp[jupyter]==<version>'

Publish to real index:

pnpm pypi-upload

Publishing - NPM

Build the npm package:

pnpm build:publish

Publish the npm package:

pnpm npm-publish