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"""Setup configuration for NIDS package."""
import os
from setuptools import setup, find_packages
# Read README for long description
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
# Read requirements
with open(os.path.join(os.path.dirname(__file__), "backend", "requirements.txt"), "r", encoding="utf-8") as fh:
requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]
setup(
name="network-intrusion-detection-system",
version="0.1.0",
author="pangerlkr",
author_email="contact@pangerlkr.link",
description="ML-powered Network Intrusion Detection System with real-time packet analysis",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/pangerlkr/network-intrusion-detection-system",
project_urls={
"Bug Tracker": "https://github.com/pangerlkr/network-intrusion-detection-system/issues",
"Documentation": "https://pangerlkr.github.io/network-intrusion-detection-system/",
"Source Code": "https://github.com/pangerlkr/network-intrusion-detection-system",
},
packages=find_packages(exclude=["tests", "tests.*", "docs", "data"]),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: System Administrators",
"Intended Audience :: Information Technology",
"Topic :: Security",
"Topic :: System :: Monitoring",
"Topic :: System :: Networking :: Monitoring",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Operating System :: POSIX :: Linux",
"Operating System :: MacOS :: MacOS X",
],
python_requires=">=3.8",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.0.0",
"black>=22.0.0",
"isort>=5.10.0",
"pylint>=2.13.0",
],
"docs": [
"sphinx>=4.5.0",
"sphinx-rtd-theme>=1.0.0",
],
},
entry_points={
"console_scripts": [
"nids=main:main",
],
},
include_package_data=True,
zip_safe=False,
keywords="nids intrusion detection security ml machine-learning cybersecurity network-security anomaly-detection",
)