""" 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/", }, )