mitosheet

mito-sheet

The Mito Spreadsheet

Installation for Development

Run all the following commands in the Mito folder.

First create an enter a python venv, for replicability

python3 -m venv venv;
source venv/bin/activate;

Once the virtual enviornment is running, then install Jupyter and Jupyterlab and pandas and analytics python

pip install -r requirements.txt;

Then install the python package. This will also build the JS packages.

pip install -e ".[test, examples]";

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 install @jupyter-widgets/jupyterlab-manager --no-build
jupyter labextension install .

For classic notebook, you can run:

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

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.

All as one command

Make sure you run this from the Mito folder!

python3 -m venv venv && source venv/bin/activate && pip install -r requirements.txt && pip install -e ".[test, examples]" && jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build && jupyter labextension install . && jupyter lab --watch

How to see your changes

Typescript:

To continuously monitor the project for changes and automatically trigger a rebuild, start Jupyter in watch mode:

jupyter lab --watch

And in a separate session, begin watching the source directory for changes:

npm run watch

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.

Testing

There are both manual tests and automated tests.

Automated Tests

Run automated tests with

pytest

Automated tests can be found in mitosheet/test. These are tests written using standard pytest tools, and include tests like testing the evaluate function, the MitoWidget, and all other pure Python code.

Manual Tests

Run manual tests by opening examples/manual_tests in jupyter lab, and selecting each workbook. Each workbook contains instructions on how to run the test and the expected outputs.

To write a manual test of your own, simply create a new notebook in the examples/manual folder and write a test here - or in a subfolder, if it fits better there.

These tests should be run before releases - but need not be run to merge things into the dev branch.

Linting

This project has linting set up for both (Python)[https://flake8.pycqa.org/en/latest/index.html] and (typescript)[https://github.com/typescript-eslint/typescript-eslint].

Run typescript linting with the command

npx eslint . --ext .tsx --fix

Documentation

To learn more about writing documentation, see the README in the /docs folder!

Installing the Extension

TODO! These instructions will apply in the future.

You can install using pip:

pip install mitosheet

Or if you use jupyterlab:

pip install mitosheet
jupyter labextension install @jupyter-widgets/jupyterlab-manager

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] mitosheet