# coding=utf-8
"""识别结果 vs 当天排餐：不在菜单中的已识别菜 → 待学习库人工确认。"""
import os


def flag_dishes_not_in_menu(manager, dishes, meal_store=None):
    """
    对「已识别且不在今日排餐」的菜写入待学习库。
    返回被标记的 pending_id 列表。
    """
    if meal_store is None:
        from dao.meal_schedule import get_meal_schedule_store
        meal_store = get_meal_schedule_store()

    menu = meal_store.today_dish_names()
    if not menu:
        # 当天无排餐数据时不做比对，避免把全部菜打进待学习
        return []

    try:
        from dao.settings import DISH_STAPLE_NAMES
        staples = set(DISH_STAPLE_NAMES or [])
    except Exception:
        staples = set()

    pending_ids = []
    extract = getattr(manager, '_extract_image_feature', None)
    store = getattr(manager, 'pending_store', None)
    if store is None or extract is None:
        return []

    for d in dishes or []:
        if d.get('is_unknown'):
            continue
        if d.get('match_scope') == 'staple':
            continue
        name = (d.get('label') or d.get('name') or '').strip()
        if not name:
            continue
        if name in menu or name in staples:
            continue

        crop = d.get('crop_image')
        if not crop or not os.path.isfile(str(crop)):
            continue

        try:
            feat = extract(crop)
        except Exception as exc:
            print(f'[WARN] schedule-check feature failed: {exc}')
            continue
        if feat is None:
            continue

        reason = f'不在今日排餐（识别为：{name}）'
        try:
            pid = store.add(
                crop,
                feat,
                suggested_category=name,
                score=d.get('score'),
                reason=reason,
            )
        except TypeError:
            # 兼容旧版 add 无 reason 参数
            pid = store.add(crop, feat, suggested_category=name, score=d.get('score'))
        if pid:
            d['pending_id'] = pid
            d['schedule_mismatch'] = True
            pending_ids.append(pid)
            print(f'[INFO] schedule mismatch -> pending#{pid}: {name}')

    return pending_ids