Merge pull request #76 from tcmofashi/debug

feat: 对自己发出的表情包提供描述

src/plugins/chat/bot.py

@@ -167,7 +167,7 @@ class ChatBot:
             bot_response_time = tinking_time_point
 
             if random() < global_config.emoji_chance:
-                emoji_path = await emoji_manager.get_emoji_for_text(response)
+                emoji_path,discription = await emoji_manager.get_emoji_for_text(response)
                 if emoji_path:
                     emoji_cq = CQCode.create_emoji_cq(emoji_path)
                     
@@ -183,6 +183,7 @@ class ChatBot:
                         raw_message=emoji_cq,
                         plain_text=emoji_cq,
                         processed_plain_text=emoji_cq,
+                        detailed_plain_text=discription,
                         user_nickname=global_config.BOT_NICKNAME,
                         group_name=message.group_name,
                         time=bot_response_time,

src/plugins/chat/emoji_manager.py

@@ -152,7 +152,7 @@ class EmojiManager:
                         {'$inc': {'usage_count': 1}}
                     )
                     logger.success(f"找到匹配的表情包: {selected_emoji.get('discription', '无描述')} (相似度: {similarity:.4f})")
-                    return selected_emoji['path']
+                    return selected_emoji['path'],"[表情包: %s]" % selected_emoji.get('discription', '无描述')
                     
             except Exception as search_error:
                 logger.error(f"搜索表情包失败: {str(search_error)}")

src/plugins/chat/message.py

@@ -77,7 +77,10 @@ class Message:
             if self.user_cardname
             else f"{self.user_nickname or f'用户{self.user_id}'}"
         )
-        self.detailed_plain_text = f"[{time_str}] {name}: {self.processed_plain_text}\n"
+        if isinstance(self,Message_Sending) and self.is_emoji:
+            self.detailed_plain_text = f"[{time_str}] {name}: {self.detailed_plain_text}\n"
+        else:
+            self.detailed_plain_text = f"[{time_str}] {name}: {self.processed_plain_text}\n"
 
         self._initialized = True