"""setup.py for axolotl"""

import platform
import re
from importlib.metadata import PackageNotFoundError, version

from setuptools import find_packages, setup


def parse_requirements():
    _install_requires = []
    _dependency_links = []
    with open("./requirements.txt", encoding="utf-8") as requirements_file:
        lines = [r.strip() for r in requirements_file.readlines()]
        for line in lines:
            is_extras = (
                "flash-attn" in line
                or "flash-attention" in line
                or "deepspeed" in line
                or "mamba-ssm" in line
                or "lion-pytorch" in line
            )
            if line.startswith("--extra-index-url"):
                # Handle custom index URLs
                _, url = line.split()
                _dependency_links.append(url)
            elif not is_extras and line and line[0] != "#":
                # Handle standard packages
                _install_requires.append(line)

    try:
        xformers_version = [req for req in _install_requires if "xformers" in req][0]
        torchao_version = [req for req in _install_requires if "torchao" in req][0]
        autoawq_version = [req for req in _install_requires if "autoawq" in req][0]

        if "Darwin" in platform.system():
            # don't install xformers on MacOS
            _install_requires.pop(_install_requires.index(xformers_version))
        else:
            # detect the version of torch already installed
            # and set it so dependencies don't clobber the torch version
            try:
                torch_version = version("torch")
            except PackageNotFoundError:
                torch_version = "2.5.1"
            _install_requires.append(f"torch=={torch_version}")

            version_match = re.match(r"^(\d+)\.(\d+)(?:\.(\d+))?", torch_version)
            if version_match:
                major, minor, patch = version_match.groups()
                major, minor = int(major), int(minor)
                patch = (
                    int(patch) if patch is not None else 0
                )  # Default patch to 0 if not present
            else:
                raise ValueError("Invalid version format")

            if (major, minor) >= (2, 5):
                _install_requires.pop(_install_requires.index(xformers_version))
                if patch == 0:
                    _install_requires.append("xformers==0.0.28.post2")
                else:
                    _install_requires.append("xformers==0.0.28.post3")
                _install_requires.pop(_install_requires.index(autoawq_version))
            elif (major, minor) >= (2, 4):
                if patch == 0:
                    _install_requires.pop(_install_requires.index(xformers_version))
                    _install_requires.append("xformers>=0.0.27")
                else:
                    _install_requires.pop(_install_requires.index(xformers_version))
                    _install_requires.append("xformers==0.0.28.post1")
            elif (major, minor) >= (2, 3):
                _install_requires.pop(_install_requires.index(torchao_version))
                if patch == 0:
                    _install_requires.pop(_install_requires.index(xformers_version))
                    _install_requires.append("xformers>=0.0.26.post1")
                else:
                    _install_requires.pop(_install_requires.index(xformers_version))
                    _install_requires.append("xformers>=0.0.27")
            elif (major, minor) >= (2, 2):
                _install_requires.pop(_install_requires.index(torchao_version))
                _install_requires.pop(_install_requires.index(xformers_version))
                _install_requires.append("xformers>=0.0.25.post1")
            else:
                _install_requires.pop(_install_requires.index(torchao_version))
                _install_requires.pop(_install_requires.index(xformers_version))
                _install_requires.append("xformers>=0.0.23.post1")

    except PackageNotFoundError:
        pass
    return _install_requires, _dependency_links


install_requires, dependency_links = parse_requirements()


setup(
    name="axolotl",
    version="0.5.1",
    description="LLM Trainer",
    long_description="Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.",
    package_dir={"": "src"},
    packages=find_packages("src"),
    install_requires=install_requires,
    dependency_links=dependency_links,
    extras_require={
        "flash-attn": [
            "flash-attn==2.7.0.post2",
        ],
        "deepspeed": [
            "deepspeed==0.15.4",
            "deepspeed-kernels",
        ],
        "mamba-ssm": [
            "mamba-ssm==1.2.0.post1",
            "causal_conv1d",
        ],
        "auto-gptq": [
            "auto-gptq==0.5.1",
        ],
        "mlflow": [
            "mlflow",
        ],
        "lion-pytorch": [
            "lion-pytorch==0.1.2",
        ],
        "galore": [
            "galore_torch",
        ],
        "optimizers": [
            "galore_torch",
            "lion-pytorch==0.1.2",
            "lomo-optim==0.1.1",
            "torch-optimi==0.2.1",
        ],
    },
)