# To publish into PyPi
# On a virtual environment:
# pip install -U wheel setuptools
# python -m setup sdist bdist_wheel
# check-manifest -c
# twine upload dist/*
#   username: __token__
#   password: <your_token_here>

from setuptools import setup

with open("README.md", "r") as fh:
    long_description = fh.read()

setup(
    name='datalake_utils',
    version='2.1.1',
    description="Manipulate data on Amazon S3 using Apache Hadoop filesystem compability",
    packages=["datalake_utils"],
    install_requires=['boto3','pandas','pyarrow','fsspec','s3fs'],
    classifiers=[
        "Programming Language :: Python :: 3",
        "Topic :: Software Development :: Libraries :: Python Modules",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent"
    ],
    python_requires='>=3',
    long_description=long_description,
    long_description_content_type="text/markdown",
    author="Luis Roberto de Oliveira Moro",
    author_email="luis.moro@yuca.live",
    url="https://github.com/yuca-live/yuca-datalake-utils"
)