看板平均响应按协同分发统计；查价失败可从主账恢复；报价模板匹配与填表更稳，后台改名运营后台。

Co-authored-by: Cursor <cursoragent@cursor.com>

inquiry-agent/agent/quote_templates/match.py

@@ -178,7 +178,8 @@ _GENERIC_KEYWORDS = frozenset(
 _LAND_KEYWORD_ALIASES = {
     "国内拼车": ("国内运输拼车", "拼车"),
     "国内零担": ("国内运输拼车", "国内长途/零担", "零担"),
-    "国内整车": ("国内运输整车", "整车"),
+    # 「整车」不能当国内整车别名：跨境整车 / 中港整车都含这两个字。
+    "国内整车": ("国内运输整车",),
     "跨境整车": ("跨境整车",),
     "跨境集拼": ("跨境集拼",),
     "跨境零担": ("跨境集拼",),
@@ -198,6 +199,19 @@ def _keyword_needles(kw: str) -> list[str]:
     return out
 
 
+def _needle_in(text: str, needle: str) -> bool:
+    """
+    陆运针：普通包含。单独「整车」不命中跨境/中港，避免国内整车模板抢走跨境单。
+    """
+    hay = (text or "").lower()
+    n = (needle or "").strip().lower()
+    if not hay or not n or n not in hay:
+        return False
+    if n == "整车" and ("跨境" in hay or "中港" in hay):
+        return False
+    return True
+
+
 def _keyword_score(raw: Any, haystack: str, type_val: str) -> tuple[int, int]:
     """
     运输类型上的命中优先，其次全文词长。
@@ -212,11 +226,11 @@ def _keyword_score(raw: Any, haystack: str, type_val: str) -> tuple[int, int]:
         if k in _GENERIC_KEYWORDS:
             continue
         needles = _keyword_needles(kw)
-        if type_val and any(n in type_val for n in needles):
+        if type_val and any(_needle_in(type_val, n) for n in needles):
             type_hits += 1
             length += len(k)
             any_hit = True
-        elif any(n in haystack for n in needles):
+        elif any(_needle_in(haystack, n) for n in needles):
             length += len(k)
             any_hit = True
     if not any_hit: