import os
from setuptools import find_packages
from setuptools import setup

folder = os.path.dirname(__file__)
version_path = os.path.join(folder, "src", "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"],
    "vlmeval": [
        "imageio",
        "imageio-ffmpeg",
        "validators",
        "sty",
        "pandas",
        "numpy",
        "pillow",
        "ipdb",
        "tqdm",
        "requests",
        "jinja2",
        "rich",
        "tabulate",
        "openpyxl",
        "xlsxwriter",
        "datasets",
        "opencv-python-headless",
        "qwen-vl-utils",
    ],
}

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={"": "src"},
    packages=find_packages("src"),
    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