如何构建 cffi 扩展以包含在带有 uv 的二进制 python 轮子中

Question

我正在迁移我的库以使用uv来管理包。然而，我的包包含一个通过 CFFI 包装和编译的 C 扩展（有一个用于此的构建脚本）。

下面是

pyproject.toml

的当前版本，无法运行构建脚本，并且，如果我手动构建扩展，

uv build --wheel

不会在轮子中包含

_readdbc.so

文件。

[project]
authors = [
    {name = "Flavio Codeco Coelho", email = "[email protected]"},
    {name = "Sandro Loch", email = "[email protected]"},
]
license = {text = "AGPL-3.0"}
requires-python = "<4,>=3.9"
dependencies = [
    "dbfread<3,>=2.0.7",
    "tqdm<5,>=4.64.0",
    "cffi<2,>=1.15.1",
    "pyyaml>=6",
    "setuptools>=75.6.0",
]
name = "pyreaddbc"
version = "1.1.0"
description = "pyreaddbc package"
readme = "README.md"
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Operating System :: OS Independent",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
]

[tool.setuptools]
packages = ["pyreaddbc"]

[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"


[build]
default = ["python", "-m", "./pyreaddbc/_build_readdbc.py"] # this script never runs


[tool.black]
line-length = 79
skip-string-normalization = true
target-version = ["py39", "py310", "py311", "py312"]
exclude = "docs/"

[project.optional-dependencies]
dev = [
    "pytest<9.0.0,>=8.1.1",
    "pandas<3.0.0,>=2.1.0",
]

[project.urls]
Repository = "https://github.com/AlertaDengue/pyreaddbc"

我错过了什么？

Answer 1

几天后，由于缺乏关于此问题的具体文档，我感到很头疼，这是有效的

pyproject.toml

的最终形式：

[project]
authors = [
    { name = "Flavio Codeco Coelho", email = "[email protected]" },
    { name = "Sandro Loch", email = "[email protected]" },
]
license = { text = "AGPL-3.0" }
requires-python = "<4,>=3.9"
dependencies = [
    "dbfread<3,>=2.0.7",
    "tqdm<5,>=4.64.0",
    "cffi<2,>=1.15.1",
    "pyyaml>=6",
    "setuptools>=75.6.0",
]
name = "pyreaddbc"
version = "1.2.0"
description = "pyreaddbc package"
readme = "README.md"
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Operating System :: OS Independent",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
]

[tool.setuptools]
py-modules = ["pyreaddbc"]
ext-modules = [
    {name = "pyreaddbc._readdbc",  sources = ["pyreaddbc/_readdbc.c", "pyreaddbc/c-src/blast.c"],     include-dirs = ["pyreaddbc", "pyreaddbc/c-src"]}#,    libraries = ["readdbc"],    library-dirs = ["pyreaddbc"]},
]

[build-system]
requires = ["setuptools>=61", "cffi"]
build-backend = "setuptools.build_meta"

[build]
default = ["python", "-m", "./pyreaddbc/_build_readdbc.py"]

[tool.black]
line-length = 79
skip-string-normalization = true
target-version = ["py39", "py310", "py311", "py312"]
exclude = "docs/"

[project.optional-dependencies]
dev = [
    "pytest<9.0.0,>=8.1.1",
    "pandas<3.0.0,>=2.1.0",
]

[project.urls]
Repository = "https://github.com/AlertaDengue/pyreaddbc"

我希望这能帮助其他需要使用 uv 自动化 CFFI 扩展构建的人。