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mirror of https://github.com/gsi-upm/senpy synced 2024-11-22 16:12:29 +00:00
senpy/setup.py
2016-03-02 05:07:48 +01:00

45 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]
exec(open('senpy/__init__.py').read())
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'
]
}
)