General purpose toolkit for applied protein biology.
Project description
Applied Protein Biology (APB) Toolkit
This repo contains a Python package called apb.
[DESCRIPTION OF WHAT THE PACKAGE DOES].
Installation
The package is hosted on PyPI and can be installed using pip:
pip install arcadia-apb
To use the biomodal subpackage for GPU-accelerated compute on Modal (ESM2 embeddings, perplexity, etc.), install with the modal extra. This requires access to the Arcadia-Science Modal workspace.
pip install arcadia-apb[modal]
Usage
[DOCUMENTATION ABOUT HOW TO USE THE PACKAGE]
Development
Environment setup
We use uv for dependency management and build tooling. Some tests depend on third-party binaries (TMalign, Foldseek) that are installed via conda. First, create a conda environment and install these binaries:
conda env create -n apb-dev -f envs/dev.yml
conda activate apb-dev
Next, install all dependencies:
uv sync --group dev --group docs --extra modal
The uv virtualenv lives outside the conda env, but the conda env must be activated so the third-party binaries are on PATH.
Formatting and linting
To format the code, use the following command:
make format
To run the lint checks and type checking, use the following command:
make lint
Pre-commit hooks
We use pre-commit to run formatting and lint checks before each commit. To install the pre-commit hooks, use the following command:
pre-commit install
To run the pre-commit checks manually, use the following command:
make pre-commit
Testing
We use pytest for testing. Tests are module specific and exist alongside their corresponding module, prefixed with test_. To run the tests, use the following command:
make test
Managing dependencies
We use uv to manage dependencies. To add a new dependency, use the following command:
uv add some-package
To add a new development dependency, use the following command:
uv add --group dev some-dev-package
To update a dependency, use the following command:
uv lock --upgrade-package some-package
Whenever you add or update a dependency, uv will automatically update both pyproject.toml and the uv.lock file. Make sure to commit the changes to these files to the repo.
Documentation
We use Sphinx for documentation with the furo theme. We also use some Sphinx extensions (described below) to make the process of writing documentation easier.
To build the docs, first install pandoc. On macOS, this can be done using brew:
brew install pandoc
Then, build the docs using the following command:
make docs
Note: the pandoc dependency is only required by the nbsphinx extension. If this extension is removed, there is no need to install pandoc.
sphinx-autoapi
This extension generates API docs automatically from the docstrings in the source code. To do so, it requires that docstrings adhere to the Google or Numpy style. This style is described in the Google Python Style Guide.
napolean
Rather than writing our docstrings in RST, we use this extension to convert Google and NumPy-style docstrings to RST at build time.
myst-parser
RST is complicated to write. This extension lets us write our docs in Markdown and then converts them to RST at build time.
nbsphinx
It is often convenient to write examples as Jupyter notebooks. This extension executes Jupyter notebooks and renders the results in the docs at build time. It requires pandoc, which can be installed using brew install pandoc.
Removing unused Sphinx extensions
To remove an unused extension, delete the corresponding line from the extensions list in docs/conf.py and delete the extension from the docs dependency group in pyproject.toml.
Publishing the package on PyPI
Publishing the package on PyPI requires that you have API tokens for the test and production PyPI servers. You can find these tokens in your PyPI account settings. Create a .env file by coping .env.copy and add your tokens to this file.
We use semantic versioning of the form MAJOR.MINOR.PATCH. See semver.org for more information.
Before starting, make sure that your local git repository is on main, is up-to-date, and does not contain uncommitted changes!
First, set your release version:
RELEASE_VERSION=0.1.0
Update the version string in both of these files:
pyproject.toml— theversionfield under[project]src/apb/__init__.py— the__version__variable
Commit the version bump:
git add pyproject.toml src/apb/__init__.py
git commit -m "Bump version to ${RELEASE_VERSION}"
Tag the commit and push:
git tag -a v${RELEASE_VERSION} -m "Release version ${RELEASE_VERSION}"
git push origin main v${RELEASE_VERSION}
If you need to delete a tag you've created, use the following command:
git tag -d v${RELEASE_VERSION}
If you already pushed the deleted tag to GitHub, you will also need to delete the tag from the remote repository:
git push origin :refs/tags/v${RELEASE_VERSION}
Once you've created the correct tag, build the package:
make build
The build artifacts are written to the dist/ directory. Verify that the version in the filenames (e.g. arcadia_apb-0.1.0.tar.gz) matches your release version.
Next, check that you can publish the package to the PyPI test server:
make build-and-test-publish
The build-and-test-publish command calls uv build to build the package and then uv publish to upload the build artifacts to the test server.
Check that you can install the new version of the package from the test server:
pip install --index-url https://test.pypi.org/simple/ arcadia-apb==${RELEASE_VERSION}
If everything looks good, build and publish the package to the prod PyPI server:
make build-and-publish
Finally, check that you can install the new version of the package from the prod PyPI server:
pip install arcadia-apb==${RELEASE_VERSION}
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