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setup.py
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import os
import sys
import warnings
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from setuptools.command.test import test as TestCommand
class PyTest(TestCommand):
user_options = [('pytest-args=', 'a', "Arguments to pass to pytest")]
def initialize_options(self):
TestCommand.initialize_options(self)
self.pytest_args = ''
def run_tests(self):
import shlex
# import here, cause outside the eggs aren't loaded
import pytest
errno = pytest.main(shlex.split(self.pytest_args))
sys.exit(errno)
"""
https://packaging.python.org/guides/making-a-pypi-friendly-readme/
check the README.rst works on pypi as the
long_description with:
twine check dist/*
"""
long_description = open('README.rst').read()
cur_path, cur_script = os.path.split(sys.argv[0])
os.chdir(os.path.abspath(cur_path))
"""
Read the docs fails to install tensorflow - 2018-06-012
error: setuptools 39.2.0 is installed but setuptools<=39.1.0
is required by {'tensorflow'}
"""
requires_that_fail_on_rtd = [
"antinex-utils",
"h5py",
"keras",
"tables",
"tensorflow"
]
install_requires = [
"celery>=4.1.0",
"celery-connectors>=1.0.27",
"celery-loaders>=1.0.5",
"colorlog",
"coverage",
"flake8<=3.4.1",
"future",
"matplotlib",
"numpy>=1.14.5",
"pandas",
"pep8>=1.7.1",
"pipenv",
"pycodestyle<=2.3.1",
"pylint",
"recommonmark",
"requests",
"scikit-learn",
"seaborn",
"sphinx",
"sphinx-autobuild",
"sphinx_bootstrap_theme",
"sphinx_rtd_theme",
"spylunking",
"tox",
"tqdm",
"unittest2",
"mock"
]
# if not on readthedocs.io get all the pips:
if os.getenv("READTHEDOCS", "") == "":
install_requires = install_requires + requires_that_fail_on_rtd
if sys.version_info < (3, 5):
warnings.warn(
"Less than Python 3.5 is not supported.",
DeprecationWarning)
# Do not import antinex_core module here, since deps may not be installed
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "antinex_core"))
setup(
name="antinex-core",
cmdclass={"test": PyTest},
version="1.3.13",
description=(
"AntiNex publisher-subscriber core for processing "
"training and prediction requests for deep neural "
"networks to detect network exploits using Keras "
"and Tensorflow in near real-time."),
long_description=long_description,
author="Jay Johnson",
author_email="jay.p.h.johnson@gmail.com",
url="https://github.com/jay-johnson/antinex-core",
packages=[
"antinex_core",
"antinex_core.scripts",
"antinex_core.log"
],
package_data={},
install_requires=install_requires,
test_suite="setup.antinex_core_test_suite",
tests_require=[
"pytest"
],
scripts=[
"./run-antinex-core.sh",
"./antinex_core/scripts/antinex_scaler_django.py",
"./antinex_core/scripts/convert_bottom_rows_to_json.py",
"./antinex_core/scripts/publish_regression_predict.py",
"./antinex_core/scripts/publish_train_request.py",
"./antinex_core/scripts/publish_predict_request.py",
"./antinex_core/scripts/run_s3_test.py",
"./antinex_core/scripts/standalone_scaler_django.py",
"./antinex_core/scripts/update-repos-in-container.sh"
],
use_2to3=True,
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: Implementation :: PyPy",
"Topic :: Software Development :: Libraries :: Python Modules",
])