fix: 1)微信QQ统一优先读消息列表(当前对话) 2)知识库min_score=0.30+短文本过滤

knowledge_base.py

@@ -68,11 +68,16 @@ class KnowledgeBase:
     def is_ready(self) -> bool:
         return self._ready and len(self.docs) > 0
 
-    def search(self, query: str, top_k: int = 3) -> List[Tuple[dict, float]]:
-        """搜索知识库，返回 (doc, score) 列表"""
+    def search(self, query: str, top_k: int = 3, min_score: float = 0.30) -> List[Tuple[dict, float]]:
+        """搜索知识库，返回 (doc, score) 列表。"""
         if not self.is_ready or not query.strip():
             return []
 
+        # 短文本（< 4 个字或 <= 2 个有效词）不做搜索，避免噪音
+        tokens = [t for t in jieba.cut(query.strip()) if len(t) >= 2]
+        if len(query.strip()) < 4 or len(tokens) <= 1:
+            return []
+
         query_vec = self._vectorizer.transform([query])
         scores = cosine_similarity(query_vec, self._tfidf_matrix)[0]
         top_indices = np.argsort(scores)[::-1][:top_k]
@@ -80,7 +85,7 @@ class KnowledgeBase:
         results = []
         for idx in top_indices:
             score = float(scores[idx])
-            if score < 0.05:  # 太低的相似度跳过
+            if score < min_score:
                 continue
             results.append((self.docs[idx], score))
         return results