pyplate-boilerplate 1.0.0rc2

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pyplate

Overview

A boilerplate for Python 3 projects

• Styles code with black
• Lints code with flake8
• Sorts imports with isort
• Validates git commits (and/or formats changes) with pre-commit
• Configures VSCode to use black, flake8, isort, etc. You'll want to install the recommended VSCode extensions, when prompted, as defined in .vscode/extensions.json

Dev Prerequisites

• python 3.12
• pipx, an optional tool for prerequisite installs
• poetry (install globally with pipx install poetry)
• flake8 (install globally with pipx install flake8)
  • flake8-bugbear extension (install with pipx inject flake8 flake8-bugbear)
  • flake8-naming extension (install with pipx inject flake8 pep8-naming)
• black (install globally with pipx install black)
• pre-commit (install globally with pipx install pre-commit)
• just, a Justfile command runner

Windows

Justfile support for Windows requires cygwin. Once installed your PATH will need to be updated to resolve cygpath.exe (probably C:\cygwin64\bin). Justfile will forward any targets with shebangs starting with / to cygwin for execution.

Consider using a bash terminal through WSL instead.

Updating python version:

• Update python version in Dev Prerequisites above
• Update [tool.poetry.dependencies] section of pyproject.toml
• Update pyupgrade hook in .pre-commit-config.yaml
• Update python version in .gitlab-ci.yml

Justfile Targets

• install: installs poetry dependencies and pre-commit git hooks
• update_boilerplate: fetches and applies updates from the boilerplate remote
• test: runs pytest with test coverage report

Usage

To start a new project, clone this repository, then rename the origin remote to boilerplate

git remote rename origin boilerplate

Then add your new remote origin

git remote add origin <remote repository>

Remove and replace (or rename) the pysrc/pyplate module to start your new project. Be sure to also replace pyplate references in pyproject.toml with your new module / project name.

Be sure to update .gitlab-ci.yml as needed. The PACKAGE_NAME variable should match the pyproject.toml tool.poetry.name field, otherwise the CI may publish incorrectly.

For the gitlab CI to publish you need to add two environment variables to your gitlab repository:

• PYPI_API_TOKEN: used to authenticate with PyPi for package publishing, see https://pypi.org/manage/account/token/
• GITLAB_CI_TOKEN: used to resolve a release candidate number for prerelease publishing. Requires at least read_api scope per Gitlab peronal access token, see https://gitlab.com/-/user_settings/personal_access_tokens

You can also add this repository to an existing project as the boilerplate remote:

git remote add boilerplate [e-mail]:tysonholub/pyplate.git

The following should help apply the boilerplate history into an existing project. Depending on your existing project structure, you may want to move everything into a backup/ folder first, then refactor accordingly after merging the boilerplate remote.

git merge boilerplate/main --no-ff --allow-unrelated-histories

Then moving forward, run just update_boilerplate to pull latest changes from the boilerplate remote. NOTE: you must keep the boilerplate remote history intact to successfully merge updates from the boilerplate remote.