pyproject.toml

[build-system]
requires = ["setuptools>=62", "wheel", "cython"]
build-backend = "setuptools.build_meta"

[project]
name = "pprl"
version = "0.1.0"
authors = [
    {name = "Mat Weldon"},
    {name = "Samuel Stock"},
    {name = "Kevin Fasusi"},
    {name = "Henry Wilde"},
    {name = "Data Science Campus", email = "datacampus@ons.gov.uk"},
]
description = "Privacy-preserving record linkage via Bloom filter embedding"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT License"}
dependencies = [
    "dill",
    "flask",
    "numpy",
    "pandas==2.0.2",
    "python-dotenv",
    "requests==2.30.0",
    "metaphone",
    "cryptography",
    "google-cloud-storage",
    "google-cloud-logging",
    "google-cloud-kms",
    "scipy",
    "recordlinkage",
]

[project.urls]
homepage = "https://github.com/datasciencecampus/pprl_toolkit"

[project.optional-dependencies]
lint = ["ruff==0.3.0", "mypy"]
test = [
    "hypothesis",
    "pytest",
    "pytest-randomly",
    "pytest-sugar",
    "pytest-cov"
]
docs = [
    "ipykernel",
    "nbclient>=0.9.0",
    "nbformat>=5.9.2",
    "quartodoc>=0.6.6",
]
dev = [
    "pre-commit==3.1.0",
    "pprl[lint,docs,test]"
]

[tool.ruff]
line-length = 99
exclude = ["notebooks/*"]
extend-include = ["*.ipynb"]

[tool.ruff.lint]
extend-select = ["D", "I", "W"]
ignore = ["D105", "D107", "D202", "D413"]

[tool.ruff.lint.isort]
known-first-party = ["pprl"]

[tool.ruff.lint.pydocstyle]
convention = "numpy"