cookiecutter-brightwaylib

A cookiecutter based project template for Brightway ecosystem packages.

We prefer using cruft as tooling to create/check/update projects created with the template over direct cookiecutter because of the following features of cruft:

• it is actively maintained
• it allows to check if the project is up to date with the template
• it allows to update the project, based on changes on the template

Usage

Installation

1. Create a new environment (pip, conda, mamba, choose your 💊),
2. Activate the newly created envionrment and install cruft ( mamba install cruft for example)
3. Create a project with:

cruft create https://github.com/brightway-lca/cookiecutter-brightwaylib

You will be asked for the following information:

• "full_name"
• "email"
• "project_name". This will be the github repo and pypi name. Should not include dashes or spaces.
• "github_username" if not intended for submission to https://github.com/brightway-lca/

• A one-sentence project description
• Version string (default 0.0.1)
• Which license to use (default MIT)

Updating the project

If the cookiecutter template is updated, you can upgrade your project with:

cruft update

inside the repository of the project. See cruft documentation for more on this.

Building the target package

The template provides enough information to build a PyPI and conda package, under the pyproject.toml and conda.recipe/meta.yaml files.

PyPI

Make sure you have "build" installed, and then you can build the package with:

python -m build --outdir dist/ .

Conda

Make sure you have conda-build installed, and then you can build the package with:

conda config --set anaconda_upload no
conda build -c conda-forge conda.recipe .

The previous snippet disables automatic uploading to anaconda. You can see the publishing/uploading part below.

Publising/Uploading your package

The template includes github actions to automatically publish/upload the packages to PyPI and anaconda.org, but you can find below the instructions to do it manually as well.

PyPI

PyPI - through github actions

The repository is configured to do the publishing/uploading automatically on develop and main branches. You have to enable trusted publishing from your PyPI account for this to work. Hint: the publisher is the python-package-deploy.yml.

If you're creating a full new project, the instructions on how to create a new project on PyPI and adding trusted publishing are here.

PyPI - manually

If you prefer to deactivate the automatic github actions, here is how to publish/upload.

1. Install build and twine in your current or a new environment
2. Configure twine with you pypi username and password and with your pypi API token.
3. Run python -m build
4. Run twine upload dist/*

You can also consider uploading to testpypi first to test that the process works fine.

Conda

Conda - through github actions

The repository is configured to do the publishing/uploading automatically on develop and main branches. You must add 2 secrets to your repository:

• ANACONDA_USER
• ANACONDA_PASSWORD

Conda - manually

1. Install conda-build and anaconda-client in your current or a new environment
2. Use anaconda to login to anaconda.org (see anaconda documentation
3. conda config --set anaconda_upload yes
4. Build and upload the package with: conda build -c conda-forge conda.recipe .

Features

• github actions:
  • test main and develop on push and on pull requests to this branches on the following:
    • os: [ubuntu-latest, windows-latest, macos-latest] and one version before.
    • py-version: ["3.9", "3.10", "3.11", "3.12"]
  • build source and wheel distribution packages using build as backend
  • upload to test.pypi.org on push events to the develop and main branches.
  • upload to pypi.org on tagged push events to the develop and main branch with tags.
• pytest
• source folder is at the root of the project, and not under src !
• pyproject.toml used for everything

Requirements

pre-commit

Follow the instructions at the pre-commit website.

Install pylint locally

In our pre-commit configuration, we run pylint, and this needs to be installed locally as its Github repo doesn't play nicely with pre-commit. Follow the instructions at the pylint website