1
0
mirror of https://github.com/gsi-upm/senpy synced 2024-11-10 19:12:28 +00:00
senpy/setup.py
2016-09-20 20:55:59 +02:00

46 lines
1.6 KiB
Python

import pip
from setuptools import setup
from pip.req import parse_requirements
# parse_requirements() returns generator of pip.req.InstallRequirement objects
try:
install_reqs = parse_requirements("requirements.txt", session=pip.download.PipSession())
test_reqs = parse_requirements("test-requirements.txt", session=pip.download.PipSession())
except AttributeError:
install_reqs = parse_requirements("requirements.txt")
test_reqs = parse_requirements("test-requirements.txt")
# reqs is a list of requirement
# e.g. ['django==1.5.1', 'mezzanine==1.4.6']
install_reqs = [str(ir.req) for ir in install_reqs]
test_reqs = [str(ir.req) for ir in test_reqs]
with open('senpy/VERSION') as f:
__version__ = f.read().strip()
setup(
name='senpy',
packages=['senpy'], # this must be the same as the name above
version=__version__,
description='''
A sentiment analysis server implementation. Designed to be \
extendable, so new algorithms and sources can be used.
''',
author='J. Fernando Sanchez',
author_email='balkian@gmail.com',
url='https://github.com/gsi-upm/senpy', # use the URL to the github repo
download_url='https://github.com/gsi-upm/senpy/archive/{}.tar.gz' .format(__version__),
keywords=['eurosentiment', 'sentiment', 'emotions', 'nif'],
classifiers=[],
install_requires=install_reqs,
tests_require=test_reqs,
setup_requires=['pytest-runner',],
include_package_data=True,
entry_points={
'console_scripts': [
'senpy = senpy.__main__:main',
'senpy-cli = senpy.cli:main'
]
}
)