import importlib.util import os from pathlib import Path from setuptools import find_packages, setup from setuptools.command.build_py import build_py as _build_py # Prevents pkg_resources import in entry point script, # see https://github.com/ninjaaron/fast-entry_points. # This saves about 200 ms on startup time for non-wheel installs. try: import fastentrypoints # noqa: F401, pylint: disable=unused-import except ImportError: pass # not able to import when installing through pre-commit # Read package meta-data from version.py # see https://packaging.python.org/guides/single-sourcing-package-version/ pkg_dir = os.path.dirname(os.path.abspath(__file__)) version_path = os.path.join(pkg_dir, "dvc", "version.py") spec = importlib.util.spec_from_file_location("dvc.version", version_path) dvc_version = importlib.util.module_from_spec(spec) spec.loader.exec_module(dvc_version) version = dvc_version.__version__ # noqa: F821 # To achieve consistency between the build version and the one provided # by your package during runtime, you need to **pin** the build version. # # This custom class will replace the version.py module with a **static** # `__version__` that your package can read at runtime, assuring consistency. # # References: # - https://docs.python.org/3.7/distutils/extending.html # - https://github.com/python/mypy class build_py(_build_py): def pin_version(self): path = os.path.join(self.build_lib, "dvc") self.mkpath(path) with open(os.path.join(path, "version.py"), "w") as fobj: fobj.write("# AUTOGENERATED at build time by setup.py\n") fobj.write(f'__version__ = "{version}"\n') def run(self): self.execute(self.pin_version, ()) _build_py.run(self) # Extra dependencies for remote integrations requirements = { path.stem: path.read_text().strip().splitlines() for path in Path("requirements").glob("*.txt") } # gssapi should not be included in all_remotes, because it doesn't have wheels # for linux and mac, so it will fail to compile if user doesn't have all the # requirements, including kerberos itself. Once all the wheels are available, # we can start shipping it by default. install_requires = requirements.pop("default") requirements["all"] = [ requirements for key, requirements in requirements.items() if key not in ("tests", "ssh_gssapi", "terraform") ] requirements["tests"] += requirements["terraform"] requirements["dev"] = requirements["all"] + requirements["tests"] setup( name="dvc", version=version, description="Git for data scientists - manage your code and data together", long_description=open("README.rst", encoding="UTF-8").read(), author="Dmitry Petrov", author_email="dmitry@dvc.org", maintainer="Iterative", maintainer_email="support@dvc.org", download_url="https://github.com/iterative/dvc", license="Apache License 2.0", install_requires=install_requires, extras_require=requirements, keywords="data-science data-version-control machine-learning git" " developer-tools reproducibility collaboration ai", python_requires=">=3.6", classifiers=[ "Development Status :: 4 - Beta", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", ], packages=find_packages(exclude=["tests"]), include_package_data=True, url="http://dvc.org", entry_points={"console_scripts": ["dvc = dvc.main:main"]}, cmdclass={"build_py": build_py}, zip_safe=False, )