pyproject.toml

[build-system]
# wget is used to download the MOA jar file
requires = ["hatchling", "hatch-build-scripts", "wget"]
# Build system: https://hatch.pypa.io
# The main reason I chose hatch is its support for plugins allowing us to
# download the MOA jar file before the build starts.
build-backend = "hatchling.build"

[project]
name = "capymoa"
version = "0.0.1"
description = "Python wrapper for MOA to allow efficient use of existing algorithms with a more modern API."
requires-python = ">=3.8"
# Defines the pip packages that are required by this package. These should be
# as permissive as possible, since capymoa should collaborate with other
# packages.
dependencies = [
    "jpype1",
    "wget",
    "numpy",
    "pandas",
    "pyarrow",
    "river",
]

[project.optional-dependencies]
dev=[
    "pytest",
    "jupyter",
    "torch",
    "torchvision",
]

[tool.pytest.ini_options]
addopts = ["--import-mode=importlib"]
pythonpath = [
    "src",
    "." # Used to import the test_utility module
]

[tool.hatch]
[tool.hatch.build.targets.wheel]
# Defines the directories included in the wheel package
packages = ["src/capymoa"]
artifacts = ["src/capymoa/jar/moa.jar"]

[tool.hatch.build.targets.sdist]
# Defines the directories included in the source distribution package (sdist).
packages = ["src/capymoa"]
artifacts = ["src/capymoa/jar/moa.jar"]

[[tool.hatch.build.hooks.build-scripts.scripts]]
# Ensures that the MOA jar file is downloaded before the build starts.
commands = [
    "python scripts/download_moa.py",
]
artifacts = []