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setup.py
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81 lines (65 loc) · 2.26 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
import inspect
from pathlib import Path
HOME_DIR = Path(inspect.getfile(inspect.currentframe())).parent
def filter_req_paths(paths, func):
"""Return list of filtered libs."""
if not isinstance(paths, list):
raise ValueError("Paths must be a list of paths.")
libs = set()
junk = set(['\n'])
for p in paths:
with p.open(mode='r') as reqs:
lines = set([line for line in reqs if func(line)])
libs.update(lines)
return list(libs - junk)
def is_pipable(line):
"""Filter for pipable reqs."""
if "# not_pipable" in line:
return False
elif line.startswith('#'):
return False
else:
return True
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = filter_req_paths(paths=[HOME_DIR / "requirements.txt",
HOME_DIR / "requirements.pip.txt"], func=is_pipable)
setup_requirements = ["pytest-runner"]
test_requirements = ["pytest"]
setup(
name='coordinator_data_tasks',
version='0.0.5',
description="A python-based command line utility to automate some of the most common data tasks faced by the Clinical Coordinators.",
long_description=readme + '\n\n' + history,
author="Gus Dunn",
author_email='w.gus.dunn@gmail.com',
url='https://github.com/xguse/coordinator_data_tasks',
packages=find_packages(include=['coordinator_data_tasks']),
entry_points={
'console_scripts': [
'data_tasks=coordinator_data_tasks.cli:main'
]
},
include_package_data=True,
install_requires=requirements,
license="MIT license",
zip_safe=False,
keywords='coordinator_data_tasks',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
test_suite='tests',
tests_require=test_requirements,
setup_requires=setup_requirements,
)