Move build system from setuptools to uv, wire uv into CI/CD
CI / lint:ruff (push) Successful in 25s
CI / format:ruff (push) Successful in 14s
CI / typecheck:ty (push) Successful in 15s
CI / vulnerabilities:pip-audit (push) Successful in 17s
CI / test:pytest (push) Successful in 24s

Convert both pyproject.toml files to the uv_build backend and turn the
repo into a proper uv workspace (plotstyle moved to src layout, since
uv_build requires the module in its own subdirectory). Dev tooling
moves from an optional-dependencies extra to a dependency-group, and
plotstyle's matplotlib dependency is now its own rather than a
gallery "plotting" extra.

Gitea Actions workflows and the Dockerfile now use astral-sh/setup-uv,
uv sync, uv run, uv build, and uv publish throughout instead of pip,
build, and twine. Also fixes .dockerignore, which was excluding
uv.lock, deploy/, and README.md and would have broken even the
previous Dockerfile's COPY of deploy/entrypoint.sh.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
2026-07-24 10:30:20 +02:00
parent 2020ac4883
commit 5109b6505c
17 changed files with 1081 additions and 757 deletions
+37
View File
@@ -0,0 +1,37 @@
[build-system]
requires = ["uv_build>=0.11.19,<0.12.0"]
build-backend = "uv_build"
[project]
name = "plotstyle"
version = "0.1.0"
description = "KIT corporate-design matplotlib styling toolkit for consistent scientific figures"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [
{name = "K. Schmidt"},
]
keywords = [
"matplotlib",
"plotting",
"scientific-computing",
"styling",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Visualization",
]
dependencies = [
"matplotlib>=3.7",
]