import sys
import platform

from setuptools import find_packages, setup
from wheel.bdist_wheel import bdist_wheel as _bdist_wheel


def _get_platform_tag():
    if platform.system() != "Linux":
        return platform.system().lower()

    machine = platform.machine().lower()
    if machine in ("x86_64", "amd64"):
        return "manylinux1_x86_64"
    if machine in ("aarch64", "arm64"):
        return "manylinux2014_aarch64"
    return f"linux_{machine}"


def _fetch_requirements(path):
    with open(path) as fd:
        return [r.strip() for r in fd.readlines() if r.strip() and not r.startswith("#")]


# Custom wheel class to modify the wheel name
class bdist_wheel(_bdist_wheel):
    def finalize_options(self):
        _bdist_wheel.finalize_options(self)
        self.root_is_pure = False

    def get_tag(self):
        python_version = f"cp{sys.version_info.major}{sys.version_info.minor}"
        abi_tag = f"{python_version}"
        platform_tag = _get_platform_tag()

        return python_version, abi_tag, platform_tag


# Setup configuration
setup(
    author="miles Team",
    name="miles",
    version="0.1.1",
    packages=find_packages(include=["miles*", "miles_plugins*"]),
    include_package_data=True,
    package_data={"miles.dashboard": ["static/*"]},
    install_requires=_fetch_requirements("requirements.txt"),
    extras_require={
        "fsdp": [
            "torch>=2.0",
        ],
        "mlflow": [
            "mlflow>=2.0",
        ],
        # standalone offline serving; the training image already has these via
        # sglang, and polars is a base requirement (used by the collector)
        "dashboard": [
            "fastapi>=0.135",
            "uvicorn>=0.41",
            "prometheus_client>=0.24",
        ],
        # the openenv e2b sandbox backend, imported only when that backend is
        # selected. 2.12 is the first release that sends the template name in
        # the `name` field, which self-hosted AgentENV reads; older ones send
        # the deprecated `alias` and every Template.build fails with 400
        "e2b": [
            "e2b>=2.12",
        ],
        "modal": [
            "modal>=1.5.5",
        ],
    },
    python_requires=">=3.10",
    classifiers=[
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Programming Language :: Python :: 3.12",
        "Environment :: GPU :: NVIDIA CUDA",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Topic :: System :: Distributed Computing",
    ],
    cmdclass={"bdist_wheel": bdist_wheel},
)