"""Phase B 对抗过滤层配置 — filter 层配置（非 strategy 属性）。

设计: research-wiki/designs/2026-07-14-adversarial-question-gen-phaseB-design.md §8
"""

from __future__ import annotations

from dataclasses import dataclass
from typing import TYPE_CHECKING

import yaml

if TYPE_CHECKING:
    from pathlib import Path


@dataclass(frozen=True)
class AdversarialFilterConfig:
    """后置对抗过滤配置。

    属性:
        filter_task_types: 被过滤的题型（仅这些走 agent 门），默认仅 AR。
        adversarial_max_rounds: 补生成迭代上限。
        adversarial_agent_max_steps: agent 试答步数上限。
        difficulty_warn_threshold: 批次 agent 正确率告警阈值。
    """

    filter_task_types: tuple[str, ...] = ("Action Recognition",)
    adversarial_max_rounds: int = 5
    adversarial_agent_max_steps: int = 40
    difficulty_warn_threshold: float = 0.85


def load_adversarial_config(config_path: Path) -> AdversarialFilterConfig:
    """从 YAML 的 adversarial_filter 区段加载配置，缺段/缺键用默认值。

    参数:
        config_path: YAML 配置文件路径。

    返回:
        AdversarialFilterConfig 实例。
    """
    with open(config_path, encoding="utf-8") as f:
        raw = yaml.safe_load(f) or {}
    section = raw.get("adversarial_filter", {}) or {}
    default = AdversarialFilterConfig()
    types = section.get("filter_task_types")
    return AdversarialFilterConfig(
        filter_task_types=tuple(types) if types else default.filter_task_types,
        adversarial_max_rounds=int(
            section.get("adversarial_max_rounds", default.adversarial_max_rounds)
        ),
        adversarial_agent_max_steps=int(
            section.get("adversarial_agent_max_steps", default.adversarial_agent_max_steps)
        ),
        difficulty_warn_threshold=float(
            section.get("difficulty_warn_threshold", default.difficulty_warn_threshold)
        ),
    )