sparkfeaturekit/pyproject.toml at main · Kernel-ML/sparkfeaturekit · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "sparkfeaturekit"
version = "0.1.0"
description = "PySpark Feature Engineering Templates & Validation"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.10"
authors = [{ name = "SparkFeatureKit Contributors" }]
keywords = ["pyspark", "feature-engineering", "machine-learning", "data-science"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "numpy>=1.24",
    "pandas>=2.0",
    "pydantic>=2.0",
    "scipy>=1.10",
]

[project.optional-dependencies]
spark = ["pyspark>=3.3"]
dev = [
    "pytest>=8.0",
    "pytest-cov>=5.0",
    "black>=24.0",
    "isort>=5.13",
    "hypothesis>=6.0",
    "pyarrow>=10.0",
]

[tool.hatch.build.targets.wheel]
packages = ["src/sparkfeaturekit"]

[tool.black]
line-length = 88
target-version = ["py310", "py311", "py312"]

[tool.isort]
profile = "black"
line_length = 88

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v --tb=short"
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]

[tool.coverage.run]
source = ["src"]
omit = ["*/tests/*", "*/__pycache__/*"]

[tool.coverage.report]
show_missing = true
fail_under = 85
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "raise NotImplementedError",
    "if TYPE_CHECKING:",
    "if __name__ == .__main__.:",
]