from __future__ import annotations

from typing import Any


def assess_risk(elements: dict[str, Any]) -> dict[str, Any]:
    """
    输出：
    - level: 高/中/低
    - factors: list[str]
    """
    factors: list[str] = []
    cause = elements.get("case_cause")
    termination_reason = elements.get("termination_reason")
    month_salary = elements.get("month_salary") or 0
    claims = elements.get("claims") or {}
    amount_total = claims.get("amount_total") or 0
    overtime_desc = elements.get("overtime_desc") or ""

    # 规则示例：违法解除但原因为空 -> 风险升高
    if cause == "违法解除劳动合同" and not termination_reason:
        factors.append("案由为违法解除劳动合同但解除原因字段为空，争议事实支撑不足")

    # 请求金额超过月工资12倍 -> 支持可能性降低
    if month_salary and amount_total and amount_total > 12 * month_salary:
        factors.append("请求金额超过月工资标准的12倍，诉求支持可能性降低")

    # 加班事实存在但缺少具体记录 -> 证据不足
    if "加班" in str(overtime_desc) and len(str(overtime_desc).strip()) < 15:
        factors.append("加班事实存在但缺乏具体加班时间/记录，可能被认定证据不足")

    # 法条引用缺乏
    law_refs = elements.get("law_refs") or []
    if cause and len(law_refs) == 0:
        factors.append("未识别到法律条款引用，法律支撑可能不足（可人工补充）")

    # 风险
        # >= 3:
        level = "高"
    elif len(factors) >= 1:
        level = "中"
    else:
        level = "低"
    return {"level": level, "factors": factors}