停用過期活動爬蟲排程

services/data/crawler_config.json

@@ -16,12 +16,15 @@
       "name": "1.1 狂歡購物節爬蟲"
     },
     "mothers_day_2026": {
-      "enabled": true,
+      "enabled": false,
       "schedule_hours": 4,
       "lpn_code": "O7ylWdZJHj8",
       "activity_name": "母親節超值限時購",
       "page_type": "mothers_day",
-      "name": "2026 母親節促銷爬蟲"
+      "name": "2026 母親節促銷爬蟲",
+      "status": "paused",
+      "pause_reason": "活動頁已回傳「很抱歉此EDM不存在」，改為手動指定 LPN 或啟用 MOMO_ENABLE_SEASONAL_PROMO_SCHEDULE 後再排程",
+      "paused_date": "2026-05-21"
     },
     "valentine_520_2026": {
       "enabled": false,

services/marketplace_product_matcher.py

@@ -232,6 +232,20 @@ SEARCH_NOISE_PHRASES = (
     "多色任選",
     "多色可選",
     "多色",
+    "德國妮維雅",
+    "無印止汗滾珠",
+    "眉彩刷",
+    "眉餅盒分開販售",
+    "極細筆芯",
+    "防水抗暈",
+    "兒童化妝品",
+    "無毒防曬霜",
+    "天然彩妝",
+    "內贈芳香劑",
+    "衛浴精油擴香瓶棒組",
+    "衛浴精油擴香瓶",
+    "三色選一",
+    "贈複方",
 )
 
 SEARCH_NOISE_TOKENS = {
@@ -290,6 +304,15 @@ SEARCH_NOISE_TOKENS = {
 }
 
 SEARCH_IDENTITY_ANCHORS = (
+    "智能光感應無線自動除臭芳香噴霧機",
+    "usb精油薰香機",
+    "超音波水氧機",
+    "類光繚指甲油",
+    "多效提亮防曬霜",
+    "速描眼線膠筆",
+    "經典旋轉眉筆",
+    "3d造型眉彩餅補充芯",
+    "止汗爽身乳液",
     "持久植物香氛精油",
     "口袋雙色修容打亮盤",
     "經典乳霜",
@@ -496,6 +519,7 @@ BRAND_ALIAS_OVERRIDES = {
     "za": ("za",),
     "xiaomi": ("小米有品", "小米", "xiaomi"),
     "mac": ("m.a.c", "mac", "m a c"),
+    "opi": ("o.p.i", "opi", "o p i"),
 }
 
 PRODUCT_TYPES = {
@@ -1927,6 +1951,8 @@ def _extract_anchor_phrases(token: str) -> list[str]:
         return []
 
     phrases: list[str] = []
+    if "經典旋轉眉筆" in cleaned:
+        phrases.append("經典旋轉眉筆")
     if "悠斯晶" in normalized and "經典乳霜" in normalized:
         phrases.append("悠斯晶經典乳霜")
     if "經典乳霜" in normalized:
@@ -2206,6 +2232,8 @@ def build_search_terms(name: str, max_terms: int = 3) -> list[str]:
             return "romand"
         if {"im", "meme"} <= identity.brand_tokens:
             return "im meme"
+        if {"recipe", "box"} <= identity.brand_tokens:
+            return "recipe box"
         chinese = sorted(
             (token for token in identity.brand_tokens if re.search(r"[\u4e00-\u9fff]", token)),
             key=lambda token: (-len(token), token),
@@ -2233,6 +2261,9 @@ def build_search_terms(name: str, max_terms: int = 3) -> list[str]:
     brand_part = primary_brand_phrase()
     spec_part = " ".join(_search_spec_terms(identity))
     core_phrases = _ranked_search_core_phrases(identity, limit=4)
+    full_name_anchor_phrases = _extract_anchor_phrases(name)
+    if full_name_anchor_phrases:
+        core_phrases = list(dict.fromkeys(full_name_anchor_phrases + core_phrases))
     core_short = " ".join(core_phrases[:2])
     core_primary = core_phrases[0] if core_phrases else ""
     product_type_aliases = set(PRODUCT_TYPES.get(identity.product_type or "", ()))