setup.py

from pathlib import Path
from setuptools import setup, find_packages

THIS_DIR = Path(__file__).parent

with open(THIS_DIR / "README.md", encoding="utf-8") as f:
    long_description = f.read()


# def read_requirements(filepath: Path) -> List[str]:
#     with open(filepath, encoding="utf-8") as fd:
#         return [
#             package.strip("\n")
#             for package in fd.readlines()
#             if not package.startswith("#")
#         ]


def get_version(filepath: Path) -> str:
    with open(filepath, encoding="utf-8") as fd:
        for line in fd.readlines():
            if line.startswith("__version__"):
                delim = '"' if '"' in line else "'"
                return line.split(delim)[1]
        raise RuntimeError("Unable to find version string.")


version = get_version(THIS_DIR / "labgraph" / "__init__.py")
# requirements = read_requirements(THIS_DIR / "requirements.txt")
# dev_requirements = read_requirements(THIS_DIR / "requirements-dev.txt")

setup(
    name="labgraph-db",
    version=version,
    description="A library for storing experimental materials science data as graphs using MongoDB.",
    long_description=long_description,
    long_description_content_type="text/markdown",
    author="Rishi E Kumar",
    author_email="re.kumar@icloud.com",
    download_url="https://github.com/rekumar/labgraph",
    license="MIT",
    python_requires=">=3.8",
    install_requires=[
        "pymongo>=3.11.2",
        "networkx>=2.6",
        "numpy>=1.23.0",
        "matplotlib>=3.5.2",
        "toml",
        "pydantic",
        "scipy",
    ],
    extras_require={
        "dev": [
            "sphinx >= 3.2.1",
            "sphinx_book_theme == 0.1.7",
            "recommonmark ~= 0.7.1",
            "sphinx-autodoc-typehints >= 1.12.0",
            "pytest >= 6.2.5",
            "pytest_reraise >= 2.1.1",
            "pylint >= 2.11.1",
            "pytest-env ~= 0.6.2",
        ]
    },
    packages=find_packages(),
    include_package_data=True,
    keywords=[
        "materials",
        "science",
        "machine",
        "automation",
        "data",
        "mongodb",
        "storage",
    ],
    classifiers=[
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Intended Audience :: Science/Research",
        "Operating System :: OS Independent",
        "Topic :: Scientific/Engineering :: Information Analysis",
        "Topic :: Software Development :: Libraries :: Python Modules",
    ],
    entry_points={
        "console_scripts": [
            "labgraph = labgraph.scripts.cli:cli",
        ]
    },
)