"""习题与知识点编码的匹配、范围过滤。"""
from __future__ import annotations

from app.models import Exercise
from app.utils.knowledge_codes import knowledge_family_prefix, split_knowledge_codes


def exercise_matches_knowledge_point(ex: Exercise, selected_code: str) -> bool:
    sel = (selected_code or "").strip()
    if not sel:
        return False
    raw = (getattr(ex, "knowledge_code", None) or "").strip()
    if not raw:
        return False
    ex_codes = split_knowledge_codes(raw)
    if not ex_codes:
        ex_codes = [raw]
    if sel in ex_codes:
        return True
    fam = knowledge_family_prefix(sel)
    if fam:
        for c in ex_codes:
            if c.startswith(fam) or c == sel:
                return True
    return False


def exercise_matches_any_selected(ex: Exercise, selected_codes: list[str]) -> bool:
    return any(exercise_matches_knowledge_point(ex, c) for c in selected_codes if c.strip())


def exercise_in_grade_category_scope(
    ex: Exercise,
    knowledge_grade: str | None,
    knowledge_category: str | None,
) -> bool:
    """题量补足：仅允许与当前页面所选年级、类别一致（题目需有对应元数据）。"""
    g_req = (knowledge_grade or "").strip()
    c_req = (knowledge_category or "").strip()
    if not g_req and not c_req:
        return False
    g_ex = (getattr(ex, "knowledge_grade", None) or "").strip()
    c_ex = (getattr(ex, "knowledge_category", None) or "").strip()
    if g_req and g_ex != g_req:
        return False
    if c_req and c_ex != c_req:
        return False
    return bool(g_ex or c_ex)