import re

import setuptools

import subprocess

import sys

try:

result = subprocess.run(

[sys.executable, "-m", "pip", "show", "pkg_utils"],

check=True, capture_output=True)

match = re.search(r'\nVersion: (.*?)\n', result.stdout.decode(), re.DOTALL)

assert match and tuple(match.group(1).split('.')) >= ('0', '0', '5')

except (subprocess.CalledProcessError, AssertionError):

subprocess.run(

[sys.executable, "-m", "pip", "install", "-U", "pkg_utils"],

check=True)

import os

import pkg_utils

name = 'datanator'

dirname = os.path.dirname(__file__)

# get package metadata

md = pkg_utils.get_package_metadata(dirname, name)

# install package

setuptools.setup(

name=name,

version=md.version,

description='Finds relevant kinetic data for biochemical models',

long_description=md.long_description,

url='https://github.com/KarrLab/' + name,

download_url='https://github.com/KarrLab/' + name,

license='MIT',

author='Karr Lab',

author_email='members@karrlab.org',

keywords=['kinetic data', 'systems biology', 'computational biology', ],

classifiers=[

'Development Status :: 3 - Alpha',

'Intended Audience :: Developers',

'License :: OSI Approved :: MIT License',

'Programming Language :: Python :: 3',

'Programming Language :: Python :: 3.6',

],

packages=setuptools.find_packages(exclude=['tests', 'tests.*']),

package_data={

name: [

'config/core.schema.cfg',

'config/core.default.cfg',

'data_source/*.txt',

'data/*.txt',

'data/*.xlsx',

],

},

entry_points={

'console_scripts': [

'datanator = datanator.__main__:main',

],

},

install_requires=md.install_requires,

extras_require=md.extras_require,

tests_require=md.tests_require,

dependency_links=md.dependency_links,

)