github-issues-rag/setup.py at main · yanchuk/github-issues-rag · GitHub

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#!/usr/bin/env python3
"""
Setup configuration for GitHub Issues RAG Extractor.
"""
from setuptools import setup, find_packages
from pathlib import Path

# Read README for long description
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text(encoding='utf-8')

# Read requirements
requirements = []
with open('requirements.txt', 'r', encoding='utf-8') as f:
    requirements = [line.strip() for line in f if line.strip() and not line.startswith('#')]

setup(
    name="github-issues-rag",
    version="1.0.0",
    author="GitHub Issues RAG Extractor Contributors",
    description="Extract GitHub issues and comments for RAG applications with markdown generation",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/yanchuk/github-issues-rag",
    packages=find_packages(),
    classifiers=[
        "Development Status :: 4 - Beta",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 3",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Programming Language :: Python :: 3.12",
        "Topic :: Software Development :: Libraries :: Python Modules",
        "Topic :: Text Processing :: Markup",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
    ],
    python_requires=">=3.8",
    install_requires=requirements,
    extras_require={
        "dev": [
            "pytest>=7.2.0",
            "pytest-mock>=3.10.0",
            "black>=22.0.0",
            "flake8>=5.0.0",
            "mypy>=1.0.0",
        ]
    },
    entry_points={
        "console_scripts": [
            "github-issues-rag=src.cli:main",
        ],
    },
    include_package_data=True,
    zip_safe=False,
    keywords=[
        "github", "issues", "rag", "retrieval-augmented-generation",
        "markdown", "extraction", "ai", "llm", "knowledge-base"
    ],
)