"""意图门控的单一来源：根据分类结果、风险和澄清次数决定最终意图"""

from app.schemas.decision import ChoiceResult
from app.schemas.requirement import Intent

# 会修改大屏的意图，判错的代价高，使用较严格的阈值；问答判错代价低，使用宽松阈值
ACTION_INTENTS = ("create_screen", "modify_screen")


def resolve_intent(
    decision: ChoiceResult,
    *,
    action_min_probability: float,
    qa_min_probability: float,
    clarified_rounds: int,
    max_clarify_rounds: int,
    option_selected: bool,
) -> Intent:
    """按选中项自身的概率门控，confidence 只表示分布集中度，不作为判据

    - 用户刚点选澄清选项时，选择本身已表达意图，直接沿用模型判断
    - 模型判定 unclear 时始终澄清；仅因概率不足而存疑时，澄清次数用尽后退回问答
    """
    choice = decision.choice
    # 缺少该选项的概率时退回 confidence，避免因协议缺字段而误判
    probability = decision.probabilities.get(choice, decision.confidence)
    minimum = action_min_probability if choice in ACTION_INTENTS else qa_min_probability

    # 模型明确判定语义不明时始终澄清，直到用户说清或取消
    if choice == "unclear":
        return "unclear"
    if option_selected or probability >= minimum:
        return choice  # type: ignore[return-value]
    # 只是把握不足时，澄清次数用尽后安全地退回问答，而不是继续追问
    if clarified_rounds >= max_clarify_rounds:
        return "qa"
    return "unclear"