import os
from setuptools import find_packages
from setuptools import setup

folder = os.path.dirname(__file__)
_third_party = os.path.normpath(os.path.join(folder, "..", "third_party"))
version_path = os.path.join(_third_party, "lmflow", "version.py")

__version__ = None
with open(version_path) as f:
    exec(f.read(), globals())

req_path = os.path.join(folder, "requirements.txt")
install_requires = []
if os.path.exists(req_path):
    with open(req_path) as fp:
        install_requires = [line.strip() for line in fp]

extra_require = {
    "multimodal": ["Pillow"],
    "vllm": ["vllm>=0.4.3"],
    "ray": ["ray>=2.22.0"],
    "gradio": ["gradio"],
    "flask": ["flask", "flask_cors"],
    "flash_attn": ["flash-attn>=2.0.2"],
    "trl": ["trl==0.8.0"]
}

readme_path = os.path.join(folder, "README.md")
readme_contents = ""
if os.path.exists(readme_path):
    with open(readme_path, encoding="utf-8") as fp:
        readme_contents = fp.read().strip()

setup(
    name="lmflow",
    version=__version__,
    description="LMFlow: Large Model Flow.",
    author="The LMFlow Team",
    long_description=readme_contents,
    long_description_content_type="text/markdown",
    package_dir={"": _third_party},
    packages=find_packages(where=_third_party),
    package_data={},
    install_requires=install_requires,
    extras_require=extra_require,
    classifiers=[
        "Intended Audience :: Science/Research/Engineering",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
    ],
    requires_python=">=3.9",
)

# optionals
# lm-eval==0.3.0