132 lines
3.7 KiB
Python

import os
import pathlib
import setuptools
package_metadata: dict = {}
with open("./src/datahub_airflow_plugin/__init__.py") as fp:
exec(fp.read(), package_metadata)
def get_long_description():
root = os.path.dirname(__file__)
return pathlib.Path(os.path.join(root, "README.md")).read_text()
base_requirements = {
# Compatibility.
"dataclasses>=0.6; python_version < '3.7'",
"typing_extensions>=3.10.0.2",
"mypy_extensions>=0.4.3",
# Actual dependencies.
"typing-inspect",
"pydantic>=1.5.1",
"apache-airflow >= 2.0.2",
f"acryl-datahub[airflow] == {package_metadata['__version__']}",
}
mypy_stubs = {
"types-dataclasses",
"sqlalchemy-stubs",
"types-pkg_resources",
"types-six",
"types-python-dateutil",
"types-requests",
"types-toml",
"types-PyYAML",
"types-freezegun",
"types-cachetools",
# versions 0.1.13 and 0.1.14 seem to have issues
"types-click==0.1.12",
"types-tabulate",
# avrogen package requires this
"types-pytz",
}
base_dev_requirements = {
*base_requirements,
*mypy_stubs,
"black>=21.12b0",
"coverage>=5.1",
"flake8>=3.8.3",
"flake8-tidy-imports>=4.3.0",
"isort>=5.7.0",
"mypy>=0.920",
# pydantic 1.8.2 is incompatible with mypy 0.910.
# See https://github.com/samuelcolvin/pydantic/pull/3175#issuecomment-995382910.
"pydantic>=1.9.0",
"pytest>=6.2.2",
"pytest-asyncio>=0.16.0",
"pytest-cov>=2.8.1",
"pytest-docker>=0.10.3,<0.12",
"tox",
"deepdiff",
"requests-mock",
"freezegun",
"jsonpickle",
"build",
"twine",
"packaging",
}
dev_requirements = {
*base_dev_requirements,
}
entry_points = {
"airflow.plugins": "acryl-datahub-airflow-plugin = datahub_airflow_plugin.datahub_plugin:DatahubPlugin"
}
setuptools.setup(
# Package metadata.
name=package_metadata["__package_name__"],
version=package_metadata["__version__"],
url="https://datahubproject.io/",
project_urls={
"Documentation": "https://datahubproject.io/docs/",
"Source": "https://github.com/datahub-project/datahub",
"Changelog": "https://github.com/datahub-project/datahub/releases",
},
license="Apache License 2.0",
description="Datahub Airflow plugin to capture executions and send to Datahub",
long_description=get_long_description(),
long_description_content_type="text/markdown",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Intended Audience :: Developers",
"Intended Audience :: Information Technology",
"Intended Audience :: System Administrators",
"License :: OSI Approved",
"License :: OSI Approved :: Apache Software License",
"Operating System :: Unix",
"Operating System :: POSIX :: Linux",
"Environment :: Console",
"Environment :: MacOS X",
"Topic :: Software Development",
],
# Package info.
zip_safe=False,
python_requires=">=3.7",
package_dir={"": "src"},
packages=setuptools.find_namespace_packages(where="./src"),
entry_points=entry_points,
# Dependencies.
install_requires=list(base_requirements),
extras_require={
"dev": list(dev_requirements),
"datahub-kafka": [
f"acryl-datahub[datahub-kafka] == {package_metadata['__version__']}"
],
},
)