ai_architecture/setup.py

"""
AI Architecture 安装脚本
"""

from setuptools import setup, find_packages
from pathlib import Path

# 读取 README 文件
readme_path = Path(__file__).parent / "README.md"
long_description = readme_path.read_text(encoding="utf-8") if readme_path.exists() else ""

# 读取 requirements.txt
requirements_path = Path(__file__).parent / "requirements.txt"
requirements = []
if requirements_path.exists():
    requirements = requirements_path.read_text().splitlines()

setup(
    name="ai-architecture",
    version="1.0.0",
    author="AI Architecture Team",
    author_email="team@ai-architecture.com",
    description="基于LangChain的AI通用服务框架",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/your-username/ai-architecture",
    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",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    python_requires=">=3.8",
    install_requires=requirements,
    extras_require={
        "dev": [
            "pytest>=7.4.0",
            "pytest-asyncio>=0.21.0",
            "black>=23.0.0",
            "isort>=5.12.0",
            "flake8>=6.0.0",
        ],
        "docs": [
            "sphinx>=4.0.0",
            "sphinx-rtd-theme>=1.0.0",
        ],
    },
    entry_points={
        "console_scripts": [
            "ai-arch=run_examples:main",
        ],
    },
    include_package_data=True,
    package_data={
        "": ["*.md", "*.txt", "*.yml", "*.yaml"],
    },
    keywords="ai langchain llm vector-database document-processing chat qa",
    project_urls={
        "Bug Reports": "https://github.com/your-username/ai-architecture/issues",
        "Source": "https://github.com/your-username/ai-architecture",
        "Documentation": "https://ai-architecture.readthedocs.io/",
    },
)