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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import warnings
"""The setup script."""
from setuptools import find_packages, setup
# don't fail if there are problems with the readme (happens within circleci)
try:
with open("README.md") as readme_file:
readme = readme_file.read()
except Exception:
warnings.warn("README.md not found")
readme = None
REQUIREMENTS_FILES = ["requirements.txt"]
def get_version():
version_dict = {}
with open("hamilton/version.py") as f:
exec(f.read(), version_dict)
return ".".join(map(str, version_dict["VERSION"]))
VERSION = get_version()
def load_requirements():
requirements = set()
for requirement_file in REQUIREMENTS_FILES:
with open(requirement_file) as f:
requirements.update(line.strip() for line in f)
return list(requirements)
setup(
name="sf-hamilton", # there's already a hamilton in pypi
version=VERSION,
description="Hamilton, the micro-framework for creating dataframes.",
long_description=readme,
long_description_content_type="text/markdown",
author="Stefan Krawczyk, Elijah ben Izzy",
author_email="[email protected],[email protected]",
url="https://github.com/dagworks-inc/hamilton",
packages=find_packages(exclude=["tests"]),
include_package_data=True,
install_requires=load_requirements(),
zip_safe=False,
keywords="hamilton",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Natural Language :: English",
"License :: OSI Approved :: BSD License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
],
# Note that this feature requires pep8 >= v9 and a version of setup tools greater than the
# default version installed with virtualenv. Make sure to update your tools!
python_requires=">=3.6, <4",
# adding this to slim the package down, since these dependencies are only used in certain contexts.
extras_require={
"visualization": ["graphviz", "networkx"],
"dask": ["dask[complete]"], # commonly you'll want everything.
"dask-array": ["dask[array]"],
"dask-core": ["dask-core"],
"dask-dataframe": ["dask[dataframe]"],
"dask-diagnostics": ["dask[diagnostics]"],
"dask-distributed": ["dask[distributed]"],
"ray": ["ray>=2.0.0", "pyarrow"],
"pyspark": [
# we have to run these dependencies cause Spark does not check to ensure the right target was called
"pyspark[pandas_on_spark,sql]",
# This is problematic, see https://stackoverflow.com/questions/76072664/convert-pyspark-dataframe-to-pandas-dataframe-fails-on-timestamp-column
"pandas<2.0",
], # I'm sure they'll add support soon,
# but for now its not compatible
"pandera": ["pandera"],
},
# Relevant project URLs
project_urls={ # Optional
"Bug Reports": "https://github.com/dagworks-inc/hamilton/issues",
"Source": "https://github.com/dagworks-inc/hamilton",
},
)