from __future__ import annotations

from typing import Any


def classify_complexity(elements: dict[str, Any], evidence_count: int = 0) -> dict[str, Any]:
    """
    简单/中等/复杂：
    - 要素数量：<5 简单；5-10 中等；>10 复杂
    - 事实清晰度：入/离职时间完整、加班事实描述是否具体
    - 证据完备度：证据材料数量（用 evidence_count 近似）
    """
    present = 0
    for k, v in (elements or {}).items():
        if v is None:
            continue
        if isinstance(v, str) and not v.strip():
            continue
        if isinstance(v, (list, dict)) and len(v) == 0:
            continue
        present += 1

    entry_ok = bool(elements.get("entry_date"))
    leave_ok = bool(elements.get("leave_date"))
    overtime_desc = elements.get("overtime_desc") or ""
    overtime_ok = len(str(overtime_desc).strip()) >= 10

    clarity = 0
    clarity += 1 if entry_ok else 0
    clarity += 1 if leave_ok else 0
    clarity += 1 if overtime_ok else 0

    evidence_ok = evidence_count >= 3

    # 规则融合
    if present < 5 and clarity <= 1 and evidence_count <= 1:
        level = "简单"
    elif present > 10 or clarity == 3 or evidence_ok:
        level = "复杂" if (present > 10 and (clarity >= 2 or evidence_ok)) else "中等"
    else:
        level = "中等"

    reasons = {
        "elements_count": present,
        "timeline_complete": entry_ok and leave_ok,
        "overtime_desc_specific": overtime_ok,
        "evidence_count": evidence_count,
    }
    return {"level": level, "reasons": reasons}