Merge branch 'dev' of https://github.com/MaiM-with-u/MaiBot into dev

src/chat/emoji_system/emoji_manager.py

@@ -723,7 +723,7 @@ class EmojiManager:
             emoji = await self.get_emoji_from_manager(emoji_hash)
             if emoji and emoji.emotion:
                 logger.info(f"[缓存命中] 从内存获取表情包描述: {emoji.emotion}...")
-                return emoji.emotion
+                return ",".join(emoji.emotion)
 
             # 如果内存中没有，从数据库查找
             self._ensure_db()

src/chat/knowledge/qa_manager.py

@@ -24,7 +24,9 @@ class QAManager:
         self.kg_manager = kg_manager
         self.qa_model = LLMRequest(model_set=model_config.model_task_config.lpmm_qa, request_type="lpmm.qa")
 
-    async def process_query(self, question: str) -> Optional[Tuple[List[Tuple[str, float, float]], Optional[Dict[str, float]]]]:
+    async def process_query(
+        self, question: str
+    ) -> Optional[Tuple[List[Tuple[str, float, float]], Optional[Dict[str, float]]]]:
         """处理查询"""
 
         # 生成问题的Embedding
@@ -56,7 +58,8 @@ class QAManager:
         logger.debug(f"关系检索用时：{part_end_time - part_start_time:.5f}s")
 
         for res in relation_search_res:
-            rel_str = self.embed_manager.relation_embedding_store.store.get(res[0]).str
+            if store_item := self.embed_manager.relation_embedding_store.store.get(res[0]):
+                rel_str = store_item.str
             print(f"找到相关关系，相似度：{(res[1] * 100):.2f}%  -  {rel_str}")
 
         # TODO: 使用LLM过滤三元组结果
@@ -105,7 +108,7 @@ class QAManager:
             if not query_res:
                 logger.debug("知识库查询结果为空，可能是知识库中没有相关内容")
                 return None
-                
+
             knowledge = [
                 (
                     self.embed_manager.paragraphs_embedding_store.store[res[0]].str,

src/chat/utils/utils_image.py

@@ -101,6 +101,8 @@ class ImageManager:
         image_bytes = base64.b64decode(image_base64)
         image_hash = hashlib.md5(image_bytes).hexdigest()
         emoji = await emoji_manager.get_emoji_from_manager(image_hash)
+        if not emoji:
+            return "[表情包：未知]"
         emotion_list = emoji.emotion
         tag_str = ",".join(emotion_list)
         return f"[表情包：{tag_str}]"

src/config/config.py

@@ -70,8 +70,8 @@ def get_key_comment(toml_table, key):
             return item.trivia.comment
     if hasattr(toml_table, "keys"):
         for k in toml_table.keys():
-            if isinstance(k, KeyType) and k.key == key:
+            if isinstance(k, KeyType) and k.key == key:  # type: ignore
-                return k.trivia.comment
+                return k.trivia.comment  # type: ignore
     return None