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Video-Tree-TRM5/app/question_gen/adversarial_config.py
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"""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)
),
)