Merge branch 'debug' of github.com:ChangingSelf/MaiMBot into debug

.github/workflows/ruff.yml

@@ -0,0 +1,8 @@
+name: Ruff
+on: [ push, pull_request ]
+jobs:
+  ruff:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: astral-sh/ruff-action@v3

src/plugins/chat/bot.py

@@ -192,7 +192,7 @@ class ChatBot:
         for word in global_config.ban_words:
             if word in message.processed_plain_text:
                 logger.info(
-                    f"[{chat.group_info.group_name if chat.group_info.group_id else '私聊'}]{userinfo.user_nickname}:{message.processed_plain_text}"
+                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{message.processed_plain_text}"
                 )
                 logger.info(f"[过滤词识别]消息中含有{word}，filtered")
                 return
@@ -201,7 +201,7 @@ class ChatBot:
         for pattern in global_config.ban_msgs_regex:
             if re.search(pattern, message.raw_message):
                 logger.info(
-                    f"[{chat.group_info.group_name if chat.group_info.group_id else '私聊'}]{userinfo.user_nickname}:{message.raw_message}"
+                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{message.raw_message}"
                 )
                 logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
                 return
@@ -229,7 +229,7 @@ class ChatBot:
         current_willing = willing_manager.get_willing(chat_stream=chat)
 
         logger.info(
-            f"[{current_time}][{chat.group_info.group_name if chat.group_info.group_id else '私聊'}]{chat.user_info.user_nickname}:"
+            f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]{chat.user_info.user_nickname}:"
             f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]"
         )
 

src/plugins/chat/emoji_manager.py

@@ -36,9 +36,9 @@ class EmojiManager:
     def __init__(self):
         self._scan_task = None
         self.vlm = LLM_request(model=global_config.vlm, temperature=0.3, max_tokens=1000)
-        self.llm_emotion_judge = LLM_request(model=global_config.llm_emotion_judge, max_tokens=60,
-                                             temperature=0.8)  # 更高的温度，更少的token（后续可以根据情绪来调整温度）
-
+        self.llm_emotion_judge = LLM_request(
+            model=global_config.llm_emotion_judge, max_tokens=60, temperature=0.8
+        )  # 更高的温度，更少的token（后续可以根据情绪来调整温度）
 
     def _ensure_emoji_dir(self):
         """确保表情存储目录存在"""
@@ -75,23 +75,20 @@ class EmojiManager:
 
         没有索引的话,数据库每次查询都需要扫描全部数据,建立索引后可以大大提高查询效率。
         """
-        if 'emoji' not in db.list_collection_names():
-            db.create_collection('emoji')
-            db.emoji.create_index([('embedding', '2dsphere')])
-            db.emoji.create_index([('filename', 1)], unique=True)
+        if "emoji" not in db.list_collection_names():
+            db.create_collection("emoji")
+            db.emoji.create_index([("embedding", "2dsphere")])
+            db.emoji.create_index([("filename", 1)], unique=True)
 
     def record_usage(self, emoji_id: str):
         """记录表情使用次数"""
         try:
             self._ensure_db()
-            db.emoji.update_one(
-                {'_id': emoji_id},
-                {'$inc': {'usage_count': 1}}
-            )
+            db.emoji.update_one({"_id": emoji_id}, {"$inc": {"usage_count": 1}})
         except Exception as e:
             logger.error(f"记录表情使用失败: {str(e)}")
 
-    async def get_emoji_for_text(self, text: str) -> Optional[Tuple[str,str]]:
+    async def get_emoji_for_text(self, text: str) -> Optional[Tuple[str, str]]:
         """根据文本内容获取相关表情包
         Args:
             text: 输入文本
@@ -118,7 +115,7 @@ class EmojiManager:
 
             try:
                 # 获取所有表情包
-                all_emojis = list(db.emoji.find({}, {'_id': 1, 'path': 1, 'embedding': 1, 'description': 1}))
+                all_emojis = list(db.emoji.find({}, {"_id": 1, "path": 1, "embedding": 1, "description": 1}))
 
                 if not all_emojis:
                     logger.warning("数据库中没有任何表情包")
@@ -137,15 +134,14 @@ class EmojiManager:
 
                 # 计算所有表情包与输入文本的相似度
                 emoji_similarities = [
-                    (emoji, cosine_similarity(text_embedding, emoji.get('embedding', [])))
-                    for emoji in all_emojis
+                    (emoji, cosine_similarity(text_embedding, emoji.get("embedding", []))) for emoji in all_emojis
                 ]
 
                 # 按相似度降序排序
                 emoji_similarities.sort(key=lambda x: x[1], reverse=True)
 
                 # 获取前3个最相似的表情包
-                top_10_emojis = emoji_similarities[:10 if len(emoji_similarities) > 10 else len(emoji_similarities)]
+                top_10_emojis = emoji_similarities[: 10 if len(emoji_similarities) > 10 else len(emoji_similarities)]
 
                 if not top_10_emojis:
                     logger.warning("未找到匹配的表情包")
@@ -154,17 +150,15 @@ class EmojiManager:
                 # 从前3个中随机选择一个
                 selected_emoji, similarity = random.choice(top_10_emojis)
 
-                if selected_emoji and 'path' in selected_emoji:
+                if selected_emoji and "path" in selected_emoji:
                     # 更新使用次数
-                    db.emoji.update_one(
-                        {'_id': selected_emoji['_id']},
-                        {'$inc': {'usage_count': 1}}
-                    )
+                    db.emoji.update_one({"_id": selected_emoji["_id"]}, {"$inc": {"usage_count": 1}})
 
                     logger.success(
-                        f"找到匹配的表情包: {selected_emoji.get('description', '无描述')} (相似度: {similarity:.4f})")
+                        f"找到匹配的表情包: {selected_emoji.get('description', '无描述')} (相似度: {similarity:.4f})"
+                    )
                     # 稍微改一下文本描述，不然容易产生幻觉，描述已经包含 表情包 了
-                    return selected_emoji['path'], "[ %s ]" % selected_emoji.get('description', '无描述')
+                    return selected_emoji["path"], "[ %s ]" % selected_emoji.get("description", "无描述")
 
             except Exception as search_error:
                 logger.error(f"搜索表情包失败: {str(search_error)}")
@@ -176,7 +170,6 @@ class EmojiManager:
             logger.error(f"获取表情包失败: {str(e)}")
             return None
 
-
     async def _get_emoji_discription(self, image_base64: str) -> str:
         """获取表情包的标签，使用image_manager的描述生成功能"""
 
@@ -184,7 +177,7 @@ class EmojiManager:
             # 使用image_manager获取描述，去掉前后的方括号和"表情包："前缀
             description = await image_manager.get_emoji_description(image_base64)
             # 去掉[表情包：xxx]的格式，只保留描述内容
-            description = description.strip('[]').replace('表情包：', '')
+            description = description.strip("[]").replace("表情包：", "")
             return description
 
         except Exception as e:
@@ -193,7 +186,7 @@ class EmojiManager:
 
     async def _check_emoji(self, image_base64: str, image_format: str) -> str:
         try:
-            prompt = f'这是一个表情包，请回答这个表情包是否满足\"{global_config.EMOJI_CHECK_PROMPT}\"的要求，是则回答是，否则回答否，不要出现任何其他内容'
+            prompt = f'这是一个表情包，请回答这个表情包是否满足"{global_config.EMOJI_CHECK_PROMPT}"的要求，是则回答是，否则回答否，不要出现任何其他内容'
 
             content, _ = await self.vlm.generate_response_for_image(prompt, image_base64, image_format)
             logger.debug(f"输出描述: {content}")
@@ -205,9 +198,9 @@ class EmojiManager:
 
     async def _get_kimoji_for_text(self, text: str):
         try:
-            prompt = f'这是{global_config.BOT_NICKNAME}将要发送的消息内容:\n{text}\n若要为其配上表情包，请你输出这个表情包应该表达怎样的情感，应该给人什么样的感觉，不要太简洁也不要太长，注意不要输出任何对消息内容的分析内容，只输出\"一种什么样的感觉\"中间的形容词部分。'
+            prompt = f'这是{global_config.BOT_NICKNAME}将要发送的消息内容:\n{text}\n若要为其配上表情包，请你输出这个表情包应该表达怎样的情感，应该给人什么样的感觉，不要太简洁也不要太长，注意不要输出任何对消息内容的分析内容，只输出"一种什么样的感觉"中间的形容词部分。'
 
-            content, _ = await self.llm_emotion_judge.generate_response_async(prompt,temperature=1.5)
+            content, _ = await self.llm_emotion_judge.generate_response_async(prompt, temperature=1.5)
             logger.info(f"输出描述: {content}")
             return content
 
@@ -222,8 +215,9 @@ class EmojiManager:
             os.makedirs(emoji_dir, exist_ok=True)
 
             # 获取所有支持的图片文件
-            files_to_process = [f for f in os.listdir(emoji_dir) if
-                                f.lower().endswith(('.jpg', '.jpeg', '.png', '.gif'))]
+            files_to_process = [
+                f for f in os.listdir(emoji_dir) if f.lower().endswith((".jpg", ".jpeg", ".png", ".gif"))
+            ]
 
             for filename in files_to_process:
                 image_path = os.path.join(emoji_dir, filename)
@@ -238,35 +232,31 @@ class EmojiManager:
                 image_hash = hashlib.md5(image_bytes).hexdigest()
                 image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
                 # 检查是否已经注册过
-                existing_emoji = db['emoji'].find_one({'filename': filename})
+                existing_emoji = db["emoji"].find_one({"hash": image_hash})
                 description = None
 
                 if existing_emoji:
                     # 即使表情包已存在，也检查是否需要同步到images集合
-                    description = existing_emoji.get('discription')
+                    description = existing_emoji.get("discription")
                     # 检查是否在images集合中存在
-                    existing_image = db.images.find_one({'hash': image_hash})
+                    existing_image = db.images.find_one({"hash": image_hash})
                     if not existing_image:
                         # 同步到images集合
                         image_doc = {
-                            'hash': image_hash,
-                            'path': image_path,
-                            'type': 'emoji',
-                            'description': description,
-                            'timestamp': int(time.time())
+                            "hash": image_hash,
+                            "path": image_path,
+                            "type": "emoji",
+                            "description": description,
+                            "timestamp": int(time.time()),
                         }
-                        db.images.update_one(
-                            {'hash': image_hash},
-                            {'$set': image_doc},
-                            upsert=True
-                        )
+                        db.images.update_one({"hash": image_hash}, {"$set": image_doc}, upsert=True)
                         # 保存描述到image_descriptions集合
-                        image_manager._save_description_to_db(image_hash, description, 'emoji')
+                        image_manager._save_description_to_db(image_hash, description, "emoji")
                         logger.success(f"同步已存在的表情包到images集合: {filename}")
                     continue
 
                 # 检查是否在images集合中已有描述
-                existing_description = image_manager._get_description_from_db(image_hash, 'emoji')
+                existing_description = image_manager._get_description_from_db(image_hash, "emoji")
 
                 if existing_description:
                     description = existing_description
@@ -274,11 +264,9 @@ class EmojiManager:
                     # 获取表情包的描述
                     description = await self._get_emoji_discription(image_base64)
 
-
-
                 if global_config.EMOJI_CHECK:
                     check = await self._check_emoji(image_base64, image_format)
-                    if '是' not in check:
+                    if "是" not in check:
                         os.remove(image_path)
                         logger.info(f"描述: {description}")
 
@@ -295,35 +283,30 @@ class EmojiManager:
 
                     # 准备数据库记录
                     emoji_record = {
-                        'filename': filename,
-                        'path': image_path,
-                        'embedding': embedding,
-                        'discription': description,
-                        'hash': image_hash,
-                        'timestamp': int(time.time())
+                        "filename": filename,
+                        "path": image_path,
+                        "embedding": embedding,
+                        "discription": description,
+                        "hash": image_hash,
+                        "timestamp": int(time.time()),
                     }
 
                     # 保存到emoji数据库
-                    db['emoji'].insert_one(emoji_record)
+                    db["emoji"].insert_one(emoji_record)
                     logger.success(f"注册新表情包: {filename}")
                     logger.info(f"描述: {description}")
 
-                    
                     # 保存到images数据库
                     image_doc = {
-                        'hash': image_hash,
-                        'path': image_path,
-                        'type': 'emoji',
-                        'description': description,
-                        'timestamp': int(time.time())
+                        "hash": image_hash,
+                        "path": image_path,
+                        "type": "emoji",
+                        "description": description,
+                        "timestamp": int(time.time()),
                     }
-                    db.images.update_one(
-                        {'hash': image_hash},
-                        {'$set': image_doc},
-                        upsert=True
-                    )
+                    db.images.update_one({"hash": image_hash}, {"$set": image_doc}, upsert=True)
                     # 保存描述到image_descriptions集合
-                    image_manager._save_description_to_db(image_hash, description, 'emoji')
+                    image_manager._save_description_to_db(image_hash, description, "emoji")
                     logger.success(f"同步保存到images集合: {filename}")
                 else:
                     logger.warning(f"跳过表情包: {filename}")
@@ -351,28 +334,35 @@ class EmojiManager:
 
             for emoji in all_emojis:
                 try:
-                    if 'path' not in emoji:
+                    if "path" not in emoji:
                         logger.warning(f"发现无效记录（缺少path字段），ID: {emoji.get('_id', 'unknown')}")
-                        db.emoji.delete_one({'_id': emoji['_id']})
+                        db.emoji.delete_one({"_id": emoji["_id"]})
                         removed_count += 1
                         continue
 
-                    if 'embedding' not in emoji:
+                    if "embedding" not in emoji:
                         logger.warning(f"发现过时记录（缺少embedding字段），ID: {emoji.get('_id', 'unknown')}")
-                        db.emoji.delete_one({'_id': emoji['_id']})
+                        db.emoji.delete_one({"_id": emoji["_id"]})
                         removed_count += 1
                         continue
 
                     # 检查文件是否存在
-                    if not os.path.exists(emoji['path']):
+                    if not os.path.exists(emoji["path"]):
                         logger.warning(f"表情包文件已被删除: {emoji['path']}")
                         # 从数据库中删除记录
-                        result = db.emoji.delete_one({'_id': emoji['_id']})
+                        result = db.emoji.delete_one({"_id": emoji["_id"]})
                         if result.deleted_count > 0:
                             logger.debug(f"成功删除数据库记录: {emoji['_id']}")
                             removed_count += 1
                         else:
                             logger.error(f"删除数据库记录失败: {emoji['_id']}")
+                        continue
+
+                    if "hash" not in emoji:
+                        logger.warning(f"发现缺失记录（缺少hash字段），ID: {emoji.get('_id', 'unknown')}")
+                        hash = hashlib.md5(open(emoji["path"], "rb").read()).hexdigest()
+                        db.emoji.update_one({"_id": emoji["_id"]}, {"$set": {"hash": hash}})
+
                 except Exception as item_error:
                     logger.error(f"处理表情包记录时出错: {str(item_error)}")
                     continue
@@ -398,5 +388,3 @@ class EmojiManager:
 # 创建全局单例
 
 emoji_manager = EmojiManager()
-
-

src/plugins/chat/message.py

@@ -23,8 +23,8 @@ urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 
 @dataclass
 class Message(MessageBase):
-    chat_stream: ChatStream=None
-    reply: Optional['Message'] = None
+    chat_stream: ChatStream = None
+    reply: Optional["Message"] = None
     detailed_plain_text: str = ""
     processed_plain_text: str = ""
 
@@ -35,7 +35,7 @@ class Message(MessageBase):
         chat_stream: ChatStream,
         user_info: UserInfo,
         message_segment: Optional[Seg] = None,
-        reply: Optional['MessageRecv'] = None,
+        reply: Optional["MessageRecv"] = None,
         detailed_plain_text: str = "",
         processed_plain_text: str = "",
     ):
@@ -45,15 +45,11 @@ class Message(MessageBase):
             message_id=message_id,
             time=time,
             group_info=chat_stream.group_info,
-            user_info=user_info
+            user_info=user_info,
         )
 
         # 调用父类初始化
-        super().__init__(
-            message_info=message_info,
-            message_segment=message_segment,
-            raw_message=None
-        )
+        super().__init__(message_info=message_info, message_segment=message_segment, raw_message=None)
 
         self.chat_stream = chat_stream
         # 文本处理相关属性
@@ -74,41 +70,38 @@ class MessageRecv(Message):
         Args:
             message_dict: MessageCQ序列化后的字典
         """
-        self.message_info = BaseMessageInfo.from_dict(message_dict.get('message_info', {}))
+        self.message_info = BaseMessageInfo.from_dict(message_dict.get("message_info", {}))
 
-        message_segment = message_dict.get('message_segment', {})
+        message_segment = message_dict.get("message_segment", {})
 
-        if message_segment.get('data','') == '[json]':
+        if message_segment.get("data", "") == "[json]":
             # 提取json消息中的展示信息
-            pattern = r'\[CQ:json,data=(?P<json_data>.+?)\]'
-            match = re.search(pattern, message_dict.get('raw_message',''))
-            raw_json = html.unescape(match.group('json_data'))
+            pattern = r"\[CQ:json,data=(?P<json_data>.+?)\]"
+            match = re.search(pattern, message_dict.get("raw_message", ""))
+            raw_json = html.unescape(match.group("json_data"))
             try:
                 json_message = json.loads(raw_json)
             except json.JSONDecodeError:
                 json_message = {}
-            message_segment['data'] = json_message.get('prompt','')
+            message_segment["data"] = json_message.get("prompt", "")
 
-        self.message_segment = Seg.from_dict(message_dict.get('message_segment', {}))
-        self.raw_message = message_dict.get('raw_message')
+        self.message_segment = Seg.from_dict(message_dict.get("message_segment", {}))
+        self.raw_message = message_dict.get("raw_message")
 
         # 处理消息内容
         self.processed_plain_text = ""  # 初始化为空字符串
-        self.detailed_plain_text = ""   # 初始化为空字符串
-        self.is_emoji=False
+        self.detailed_plain_text = ""  # 初始化为空字符串
+        self.is_emoji = False
 
-    
-    def update_chat_stream(self,chat_stream:ChatStream):
-        self.chat_stream=chat_stream
+    def update_chat_stream(self, chat_stream: ChatStream):
+        self.chat_stream = chat_stream
 
     async def process(self) -> None:
         """处理消息内容，生成纯文本和详细文本
 
         这个方法必须在创建实例后显式调用，因为它包含异步操作。
         """
-        self.processed_plain_text = await self._process_message_segments(
-            self.message_segment
-        )
+        self.processed_plain_text = await self._process_message_segments(self.message_segment)
         self.detailed_plain_text = self._generate_detailed_text()
 
     async def _process_message_segments(self, segment: Seg) -> str:
@@ -157,16 +150,12 @@ class MessageRecv(Message):
             else:
                 return f"[{seg.type}:{str(seg.data)}]"
         except Exception as e:
-            logger.error(
-                f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}"
-            )
+            logger.error(f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}")
             return f"[处理失败的{seg.type}消息]"
 
     def _generate_detailed_text(self) -> str:
         """生成详细文本，包含时间和用户信息"""
-        time_str = time.strftime(
-            "%m-%d %H:%M:%S", time.localtime(self.message_info.time)
-        )
+        time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(self.message_info.time))
         user_info = self.message_info.user_info
         name = (
             f"{user_info.user_nickname}(ta的昵称:{user_info.user_cardname},ta的id:{user_info.user_id})"
@@ -257,16 +246,12 @@ class MessageProcessBase(Message):
             else:
                 return f"[{seg.type}:{str(seg.data)}]"
         except Exception as e:
-            logger.error(
-                f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}"
-            )
+            logger.error(f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}")
             return f"[处理失败的{seg.type}消息]"
 
     def _generate_detailed_text(self) -> str:
         """生成详细文本，包含时间和用户信息"""
-        time_str = time.strftime(
-            "%m-%d %H:%M:%S", time.localtime(self.message_info.time)
-        )
+        time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(self.message_info.time))
         user_info = self.message_info.user_info
         name = (
             f"{user_info.user_nickname}(ta的昵称:{user_info.user_cardname},ta的id:{user_info.user_id})"
@@ -330,10 +315,11 @@ class MessageSending(MessageProcessBase):
         self.is_head = is_head
         self.is_emoji = is_emoji
 
-    def set_reply(self, reply: Optional["MessageRecv"]) -> None:
+    def set_reply(self, reply: Optional["MessageRecv"] = None) -> None:
         """设置回复消息"""
         if reply:
             self.reply = reply
+        if self.reply:
             self.reply_to_message_id = self.reply.message_info.message_id
             self.message_segment = Seg(
                 type="seglist",
@@ -346,9 +332,7 @@ class MessageSending(MessageProcessBase):
     async def process(self) -> None:
         """处理消息内容，生成纯文本和详细文本"""
         if self.message_segment:
-            self.processed_plain_text = await self._process_message_segments(
-                self.message_segment
-            )
+            self.processed_plain_text = await self._process_message_segments(self.message_segment)
             self.detailed_plain_text = self._generate_detailed_text()
 
     @classmethod
@@ -377,10 +361,7 @@ class MessageSending(MessageProcessBase):
 
     def is_private_message(self) -> bool:
         """判断是否为私聊消息"""
-        return (
-            self.message_info.group_info is None
-            or self.message_info.group_info.group_id is None
-        )
+        return self.message_info.group_info is None or self.message_info.group_info.group_id is None
 
 
 @dataclass

src/plugins/chat/message_base.py

@@ -65,6 +65,8 @@ class GroupInfo:
         Returns:
             GroupInfo: 新的实例
         """
+        if data.get('group_id') is None:
+            return None
         return cls(
             platform=data.get('platform'),
             group_id=data.get('group_id'),
@@ -129,8 +131,8 @@ class BaseMessageInfo:
         Returns:
             BaseMessageInfo: 新的实例
         """
-        group_info = GroupInfo(**data.get('group_info', {}))
-        user_info = UserInfo(**data.get('user_info', {}))
+        group_info = GroupInfo.from_dict(data.get('group_info', {}))
+        user_info = UserInfo.from_dict(data.get('user_info', {}))
         return cls(
             platform=data.get('platform'),
             message_id=data.get('message_id'),
@@ -173,7 +175,7 @@ class MessageBase:
         Returns:
             MessageBase: 新的实例
         """
-        message_info = BaseMessageInfo(**data.get('message_info', {}))
+        message_info = BaseMessageInfo.from_dict(data.get('message_info', {}))
         message_segment = Seg(**data.get('message_segment', {}))
         raw_message = data.get('raw_message',None)
         return cls(

src/plugins/chat/message_cq.py

@@ -8,12 +8,14 @@ from .cq_code import cq_code_tool
 from .utils_cq import parse_cq_code
 from .utils_user import get_groupname
 from .message_base import Seg, GroupInfo, UserInfo, BaseMessageInfo, MessageBase
+
 # 禁用SSL警告
 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 
-#这个类是消息数据类，用于存储和管理消息数据。
-#它定义了消息的属性，包括群组ID、用户ID、消息ID、原始消息内容、纯文本内容和时间戳。
-#它还定义了两个辅助属性：keywords用于提取消息的关键词，is_plain_text用于判断消息是否为纯文本。
+# 这个类是消息数据类，用于存储和管理消息数据。
+# 它定义了消息的属性，包括群组ID、用户ID、消息ID、原始消息内容、纯文本内容和时间戳。
+# 它还定义了两个辅助属性：keywords用于提取消息的关键词，is_plain_text用于判断消息是否为纯文本。
+
 
 @dataclass
 class MessageCQ(MessageBase):
@@ -24,27 +26,17 @@ class MessageCQ(MessageBase):
     - user_id: 发送者/接收者ID
     - platform: 平台标识（默认为"qq"）
     """
+
     def __init__(
-        self,
-        message_id: int,
-        user_info: UserInfo,
-        group_info: Optional[GroupInfo] = None,
-        platform: str = "qq"
+        self, message_id: int, user_info: UserInfo, group_info: Optional[GroupInfo] = None, platform: str = "qq"
     ):
         # 构造基础消息信息
         message_info = BaseMessageInfo(
-            platform=platform,
-            message_id=message_id,
-            time=int(time.time()),
-            group_info=group_info,
-            user_info=user_info
+            platform=platform, message_id=message_id, time=int(time.time()), group_info=group_info, user_info=user_info
         )
         # 调用父类初始化，message_segment 由子类设置
-        super().__init__(
-            message_info=message_info,
-            message_segment=None,
-            raw_message=None
-        )
+        super().__init__(message_info=message_info, message_segment=None, raw_message=None)
+
 
 @dataclass
 class MessageRecvCQ(MessageCQ):
@@ -80,7 +72,7 @@ class MessageRecvCQ(MessageCQ):
 
         start = 0
         while True:
-            cq_start = message.find('[CQ:', start)
+            cq_start = message.find("[CQ:", start)
             if cq_start == -1:
                 if start < len(message):
                     text = message[start:].strip()
@@ -93,20 +85,20 @@ class MessageRecvCQ(MessageCQ):
                 if text:
                     cq_code_dict_list.append(parse_cq_code(text))
 
-            cq_end = message.find(']', cq_start)
+            cq_end = message.find("]", cq_start)
             if cq_end == -1:
                 text = message[cq_start:].strip()
                 if text:
                     cq_code_dict_list.append(parse_cq_code(text))
                 break
 
-            cq_code = message[cq_start:cq_end + 1]
+            cq_code = message[cq_start : cq_end + 1]
             cq_code_dict_list.append(parse_cq_code(cq_code))
             start = cq_end + 1
 
         # 转换CQ码为Seg对象
         for code_item in cq_code_dict_list:
-            message_obj = cq_code_tool.cq_from_dict_to_class(code_item,msg=self,reply=reply_message)
+            message_obj = cq_code_tool.cq_from_dict_to_class(code_item, msg=self, reply=reply_message)
             if message_obj.translated_segments:
                 segments.append(message_obj.translated_segments)
 
@@ -115,59 +107,58 @@ class MessageRecvCQ(MessageCQ):
             return segments[0]
 
         # 否则返回seglist类型的Seg
-        return Seg(type='seglist', data=segments)
+        return Seg(type="seglist", data=segments)
 
     def to_dict(self) -> Dict:
         """转换为字典格式，包含所有必要信息"""
         base_dict = super().to_dict()
         return base_dict
 
+
 @dataclass
 class MessageSendCQ(MessageCQ):
     """QQ发送消息类，用于将Seg对象转换为raw_message"""
 
-    def __init__(
-        self,
-        data: Dict
-    ):
+    def __init__(self, data: Dict):
         # 调用父类初始化
-        message_info = BaseMessageInfo.from_dict(data.get('message_info', {}))
-        message_segment = Seg.from_dict(data.get('message_segment', {}))
+        message_info = BaseMessageInfo.from_dict(data.get("message_info", {}))
+        message_segment = Seg.from_dict(data.get("message_segment", {}))
         super().__init__(
             message_info.message_id,
             message_info.user_info,
             message_info.group_info if message_info.group_info else None,
-            message_info.platform
-            )
+            message_info.platform,
+        )
 
         self.message_segment = message_segment
         self.raw_message = self._generate_raw_message()
 
-    def _generate_raw_message(self, ) -> str:
+    def _generate_raw_message(
+        self,
+    ) -> str:
         """将Seg对象转换为raw_message"""
         segments = []
 
         # 处理消息段
-        if self.message_segment.type == 'seglist':
+        if self.message_segment.type == "seglist":
             for seg in self.message_segment.data:
                 segments.append(self._seg_to_cq_code(seg))
         else:
             segments.append(self._seg_to_cq_code(self.message_segment))
 
-        return ''.join(segments)
+        return "".join(segments)
 
     def _seg_to_cq_code(self, seg: Seg) -> str:
         """将单个Seg对象转换为CQ码字符串"""
-        if seg.type == 'text':
+        if seg.type == "text":
             return str(seg.data)
-        elif seg.type == 'image':
+        elif seg.type == "image":
             return cq_code_tool.create_image_cq_base64(seg.data)
-        elif seg.type == 'emoji':
+        elif seg.type == "emoji":
             return cq_code_tool.create_emoji_cq_base64(seg.data)
-        elif seg.type == 'at':
+        elif seg.type == "at":
             return f"[CQ:at,qq={seg.data}]"
-        elif seg.type == 'reply':
+        elif seg.type == "reply":
             return cq_code_tool.create_reply_cq(int(seg.data))
         else:
             return f"[{seg.data}]"
-

src/plugins/chat/utils_image.py

@@ -13,9 +13,11 @@ from nonebot import get_driver
 from ...common.database import db
 from ..chat.config import global_config
 from ..models.utils_model import LLM_request
+
 driver = get_driver()
 config = driver.config
 
+
 class ImageManager:
     _instance = None
     IMAGE_DIR = "data"  # 图像存储根目录
@@ -40,20 +42,20 @@ class ImageManager:
 
     def _ensure_image_collection(self):
         """确保images集合存在并创建索引"""
-        if 'images' not in db.list_collection_names():
-            db.create_collection('images')
+        if "images" not in db.list_collection_names():
+            db.create_collection("images")
             # 创建索引
-            db.images.create_index([('hash', 1)], unique=True)
-            db.images.create_index([('url', 1)])
-            db.images.create_index([('path', 1)])
+            db.images.create_index([("hash", 1)], unique=True)
+            db.images.create_index([("url", 1)])
+            db.images.create_index([("path", 1)])
 
     def _ensure_description_collection(self):
         """确保image_descriptions集合存在并创建索引"""
-        if 'image_descriptions' not in db.list_collection_names():
-            db.create_collection('image_descriptions')
+        if "image_descriptions" not in db.list_collection_names():
+            db.create_collection("image_descriptions")
             # 创建索引
-            db.image_descriptions.create_index([('hash', 1)], unique=True)
-            db.image_descriptions.create_index([('type', 1)])
+            db.image_descriptions.create_index([("hash", 1)], unique=True)
+            db.image_descriptions.create_index([("type", 1)])
 
     def _get_description_from_db(self, image_hash: str, description_type: str) -> Optional[str]:
         """从数据库获取图片描述
@@ -65,11 +67,8 @@ class ImageManager:
         Returns:
             Optional[str]: 描述文本，如果不存在则返回None
         """
-        result= db.image_descriptions.find_one({
-            'hash': image_hash,
-            'type': description_type
-        })
-        return result['description'] if result else None
+        result = db.image_descriptions.find_one({"hash": image_hash, "type": description_type})
+        return result["description"] if result else None
 
     def _save_description_to_db(self, image_hash: str, description: str, description_type: str) -> None:
         """保存图片描述到数据库
@@ -80,77 +79,11 @@ class ImageManager:
             description_type: 描述类型 ('emoji' 或 'image')
         """
         db.image_descriptions.update_one(
-            {'hash': image_hash, 'type': description_type},
-            {
-                '$set': {
-                    'description': description,
-                    'timestamp': int(time.time())
-                }
-            },
-            upsert=True
+            {"hash": image_hash, "type": description_type},
+            {"$set": {"description": description, "timestamp": int(time.time())}},
+            upsert=True,
         )
 
-    async def save_image(self, 
-                        image_data: Union[str, bytes], 
-                        url: str = None, 
-                        description: str = None, 
-                        is_base64: bool = False) -> Optional[str]:
-        """保存图像
-        Args:
-            image_data: 图像数据(base64字符串或字节)
-            url: 图像URL
-            description: 图像描述
-            is_base64: image_data是否为base64格式
-        Returns:
-            str: 保存后的文件路径,失败返回None
-        """
-        try:
-            # 转换为字节格式
-            if is_base64:
-                if isinstance(image_data, str):
-                    image_bytes = base64.b64decode(image_data)
-                else:
-                    return None
-            else:
-                if isinstance(image_data, bytes):
-                    image_bytes = image_data
-                else:
-                    return None
-                    
-            # 计算哈希值
-            image_hash = hashlib.md5(image_bytes).hexdigest()
-            image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
-            
-            # 查重
-            existing = db.images.find_one({'hash': image_hash})
-            if existing:
-                return existing['path']
-                
-            # 生成文件名和路径
-            timestamp = int(time.time())
-            filename = f"{timestamp}_{image_hash[:8]}.{image_format}"
-            file_path = os.path.join(self.IMAGE_DIR, filename)
-            
-            # 保存文件
-            with open(file_path, "wb") as f:
-                f.write(image_bytes)
-                
-            # 保存到数据库
-            image_doc = {
-                'hash': image_hash,
-                'path': file_path,
-                'url': url,
-                'description': description,
-                'timestamp': timestamp
-            }
-            db.images.insert_one(image_doc)
-            
-            return file_path
-            
-        except Exception as e:
-            logger.error(f"保存图像失败: {str(e)}")
-            return None
-            
     async def get_image_by_url(self, url: str) -> Optional[str]:
         """根据URL获取图像路径(带查重)
         Args:
@@ -160,9 +93,9 @@ class ImageManager:
         """
         try:
             # 先查找是否已存在
-            existing = db.images.find_one({'url': url})
+            existing = db.images.find_one({"url": url})
             if existing:
-                return existing['path']
+                return existing["path"]
 
             # 下载图像
             async with aiohttp.ClientSession() as session:
@@ -176,63 +109,6 @@ class ImageManager:
             logger.error(f"获取图像失败: {str(e)}")
             return None
 
-    async def get_base64_by_url(self, url: str) -> Optional[str]:
-        """根据URL获取base64(带查重)
-        Args:
-            url: 图像URL
-        Returns:
-            str: base64字符串,失败返回None
-        """
-        try:
-            image_path = await self.get_image_by_url(url)
-            if not image_path:
-                return None
-                
-            with open(image_path, 'rb') as f:
-                image_bytes = f.read()
-                return base64.b64encode(image_bytes).decode('utf-8')
-                
-        except Exception as e:
-            logger.error(f"获取base64失败: {str(e)}")
-            return None
-            
-        
-    def check_url_exists(self, url: str) -> bool:
-        """检查URL是否已存在
-        Args:
-            url: 图像URL
-        Returns:
-            bool: 是否存在
-        """
-        return db.images.find_one({'url': url}) is not None
-        
-    def check_hash_exists(self, image_data: Union[str, bytes], is_base64: bool = False) -> bool:
-        """检查图像是否已存在
-        Args:
-            image_data: 图像数据(base64或字节)
-            is_base64: 是否为base64格式
-        Returns:
-            bool: 是否存在
-        """
-        try:
-            if is_base64:
-                if isinstance(image_data, str):
-                    image_bytes = base64.b64decode(image_data)
-                else:
-                    return False
-            else:
-                if isinstance(image_data, bytes):
-                    image_bytes = image_data
-                else:
-                    return False
-                    
-            image_hash = hashlib.md5(image_bytes).hexdigest()
-            return db.images.find_one({'hash': image_hash}) is not None
-            
-        except Exception as e:
-            logger.error(f"检查哈希失败: {str(e)}")
-            return False
-        
     async def get_emoji_description(self, image_base64: str) -> str:
         """获取表情包描述，带查重和保存功能"""
         try:
@@ -242,7 +118,7 @@ class ImageManager:
             image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
 
             # 查询缓存的描述
-            cached_description = self._get_description_from_db(image_hash, 'emoji')
+            cached_description = self._get_description_from_db(image_hash, "emoji")
             if cached_description:
                 logger.info(f"缓存表情包描述: {cached_description}")
                 return f"[表情包：{cached_description}]"
@@ -251,12 +127,19 @@ class ImageManager:
             prompt = "这是一个表情包，使用中文简洁的描述一下表情包的内容和表情包所表达的情感"
             description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
 
+            cached_description = self._get_description_from_db(image_hash, "emoji")
+            if cached_description:
+                logger.warning(f"虽然生成了描述，但找到缓存表情包描述: {cached_description}")
+                return f"[表情包：{cached_description}]"
+
             # 根据配置决定是否保存图片
             if global_config.EMOJI_SAVE:
                 # 生成文件名和路径
                 timestamp = int(time.time())
                 filename = f"{timestamp}_{image_hash[:8]}.{image_format}"
-                file_path = os.path.join(self.IMAGE_DIR, 'emoji',filename)
+                if not os.path.exists(os.path.join(self.IMAGE_DIR, "emoji")):
+                    os.makedirs(os.path.join(self.IMAGE_DIR, "emoji"))
+                file_path = os.path.join(self.IMAGE_DIR, "emoji", filename)
 
                 try:
                     # 保存文件
@@ -265,23 +148,19 @@ class ImageManager:
 
                     # 保存到数据库
                     image_doc = {
-                        'hash': image_hash,
-                        'path': file_path,
-                        'type': 'emoji',
-                        'description': description,
-                        'timestamp': timestamp
+                        "hash": image_hash,
+                        "path": file_path,
+                        "type": "emoji",
+                        "description": description,
+                        "timestamp": timestamp,
                     }
-                    db.images.update_one(
-                        {'hash': image_hash},
-                        {'$set': image_doc},
-                        upsert=True
-                    )
+                    db.images.update_one({"hash": image_hash}, {"$set": image_doc}, upsert=True)
                     logger.success(f"保存表情包: {file_path}")
                 except Exception as e:
                     logger.error(f"保存表情包文件失败: {str(e)}")
 
             # 保存描述到数据库
-            self._save_description_to_db(image_hash, description, 'emoji')
+            self._save_description_to_db(image_hash, description, "emoji")
 
             return f"[表情包：{description}]"
         except Exception as e:
@@ -298,14 +177,20 @@ class ImageManager:
             image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
 
             # 查询缓存的描述
-            cached_description = self._get_description_from_db(image_hash, 'image')
+            cached_description = self._get_description_from_db(image_hash, "image")
             if cached_description:
                 print("图片描述缓存中")
                 return f"[图片：{cached_description}]"
 
             # 调用AI获取描述
-            prompt = "请用中文描述这张图片的内容。如果有文字，请把文字都描述出来。并尝试猜测这个图片的含义。最多200个字。"
+            prompt = (
+                "请用中文描述这张图片的内容。如果有文字，请把文字都描述出来。并尝试猜测这个图片的含义。最多200个字。"
+            )
             description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
+            cached_description = self._get_description_from_db(image_hash, "emoji")
+            if cached_description:
+                logger.info(f"缓存图片描述: {cached_description}")
+                return f"[图片：{cached_description}]"
 
             print(f"描述是{description}")
 
@@ -318,7 +203,9 @@ class ImageManager:
                 # 生成文件名和路径
                 timestamp = int(time.time())
                 filename = f"{timestamp}_{image_hash[:8]}.{image_format}"
-                file_path = os.path.join(self.IMAGE_DIR,'image', filename)
+                if not os.path.exists(os.path.join(self.IMAGE_DIR, "image")):
+                    os.makedirs(os.path.join(self.IMAGE_DIR, "image"))
+                file_path = os.path.join(self.IMAGE_DIR, "image", filename)
 
                 try:
                     # 保存文件
@@ -327,23 +214,19 @@ class ImageManager:
 
                     # 保存到数据库
                     image_doc = {
-                        'hash': image_hash,
-                        'path': file_path,
-                        'type': 'image',
-                        'description': description,
-                        'timestamp': timestamp
+                        "hash": image_hash,
+                        "path": file_path,
+                        "type": "image",
+                        "description": description,
+                        "timestamp": timestamp,
                     }
-                    db.images.update_one(
-                        {'hash': image_hash},
-                        {'$set': image_doc},
-                        upsert=True
-                    )
+                    db.images.update_one({"hash": image_hash}, {"$set": image_doc}, upsert=True)
                     logger.success(f"保存图片: {file_path}")
                 except Exception as e:
                     logger.error(f"保存图片文件失败: {str(e)}")
 
             # 保存描述到数据库
-            self._save_description_to_db(image_hash, description, 'image')
+            self._save_description_to_db(image_hash, description, "image")
 
             return f"[图片：{description}]"
         except Exception as e:
@@ -351,7 +234,6 @@ class ImageManager:
             return "[图片]"
 
 
-
 # 创建全局单例
 image_manager = ImageManager()
 
@@ -364,9 +246,9 @@ def image_path_to_base64(image_path: str) -> str:
         str: base64编码的图片数据
     """
     try:
-        with open(image_path, 'rb') as f:
+        with open(image_path, "rb") as f:
             image_data = f.read()
-            return base64.b64encode(image_data).decode('utf-8')
+            return base64.b64encode(image_data).decode("utf-8")
     except Exception as e:
         logger.error(f"读取图片失败: {image_path}, 错误: {str(e)}")
         return None