setup.py

# -*- coding:utf-8 -*-

from __future__ import absolute_import

from setuptools import find_packages
from setuptools import setup

home_url = 'https://github.com/DataCanvasIO/Hypernets'


def read_requirements(file_path='requirements.txt'):
    import os

    if not os.path.exists(file_path):
        return []

    with open(file_path, 'r')as f:
        lines = f.readlines()

    lines = [x.strip('\n').strip(' ') for x in lines]
    lines = list(filter(lambda x: len(x) > 0 and not x.startswith('#'), lines))

    return lines


def read_extra_requirements():
    import glob
    import re

    extra = {}

    for file_name in glob.glob('requirements-*.txt'):
        key = re.search('requirements-(.+).txt', file_name).group(1)
        req = read_requirements(file_name)
        if req:
            extra[key] = req

    if extra and 'all' not in extra.keys():
        extra['all'] = sorted({v for req in extra.values() for v in req})

    return extra


# def read_description(file_path='README.md',
#                      image_root=f'{home_url}/raw/main'):
#     import re
#     import os
#
#     def _encode_image(m):
#         assert len(m.groups()) == 3
#
#         pre, src, post = m.groups()
#         src = src.rstrip().lstrip()
#         remote_src = os.path.join(image_root, os.path.relpath(src))
#         return f'{pre}{remote_src}{post}'
#
#     desc = open(file_path, encoding='utf-8').read()
#
#     # substitute html image
#     desc = re.sub(r'(<img\s+src\s*=\s*\")(docs/source/images/[^"]+)(\")', _encode_image, desc)
#
#     # substitute markdown image
#     desc = re.sub(r'(\!\[.*\]\()(docs/source/images/.+)(\))', _encode_image, desc)
#
#     return desc

def read_description(file_path='README.md'):
    with open(file_path, encoding='utf-8') as f:
        desc = f.read()
    return desc


import hypernets

version = hypernets.__version__

MIN_PYTHON_VERSION = '>=3.6'

# long_description = open('README.md', encoding='utf-8').read()
long_description = read_description()

requires = read_requirements()
extras_require = read_extra_requirements()

setup(
    name='hypernets',
    version=version,
    description='An General Automated Machine Learning Framework',
    long_description=long_description,
    long_description_content_type="text/markdown",
    url='https://github.com/DataCanvasIO/Hypernets',
    author='DataCanvas Community',
    author_email='yangjian@zetyun.com',
    license='Apache License 2.0',
    install_requires=requires,
    python_requires=MIN_PYTHON_VERSION,
    extras_require=extras_require,
    classifiers=[
        'Operating System :: OS Independent',
        'Intended Audience :: Developers',
        'Intended Audience :: Education',
        'Intended Audience :: Science/Research',
        'Programming Language :: Python',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3.9',
        'Programming Language :: Python :: 3.10',
        'Topic :: Scientific/Engineering',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
        'Topic :: Software Development',
        'Topic :: Software Development :: Libraries',
        'Topic :: Software Development :: Libraries :: Python Modules',
    ],
    packages=find_packages(exclude=('docs', 'tests*')),
    package_data={
        'hypernets': ['tabular/datasets/*.csv', 'tabular/datasets/*.txt', 'tabular/datasets/*.gz'],
    },
    entry_points={
        'console_scripts': [
            'hyperctl = hypernets.hyperctl.cli:main',
        ]
    },
    zip_safe=False,
    include_package_data=True,
)