from __future__ import annotations

import argparse

import _bootstrap  # noqa: F401
from trader_training.good_trade_structure import diagnose_good_trade_structure
from trader_training.io_utils import add_common_args, setup_logging


def _float_tuple(value: str) -> tuple[float, ...]:
    return tuple(float(item.strip()) for item in value.split(",") if item.strip())


def main() -> None:
    parser = argparse.ArgumentParser(description="Diagnose whether existing features separate good and bad Entry trades.")
    add_common_args(parser)
    parser.add_argument("--min-good-edge-bps", type=float, default=3.0)
    parser.add_argument("--bad-edge-bps", type=float, default=-3.0)
    parser.add_argument("--top-fractions", type=_float_tuple, default=(0.01, 0.05, 0.10))
    args = parser.parse_args()
    setup_logging()
    diagnose_good_trade_structure(args)


if __name__ == "__main__":
    main()