chore: auto update by pre-commit hooks

.pre-commit-config.yaml

@@ -21,7 +21,7 @@ repos:
         additional_dependencies: ["types-PyYAML", "types-pytz", "azure-ai-inference", "dashscope", "google-genai", "ollama"]
 
   - repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 25.12.0
+    rev: 26.1.0
     hooks:
       - id: black
         args: ["--config=./pyproject.toml"]

bot.py

@@ -12,7 +12,7 @@ def load_specified_adapter(driver: Driver, adapter: str):
     try:
         module = importlib.import_module(adapter)
         adapter = module.Adapter
-        driver.register_adapter(adapter)  # type:ignore
+        driver.register_adapter(adapter)  # type: ignore
     except ImportError:
         print(f"\33[35m{adapter}不存在，请检查拼写错误或是否已安装该适配器？")
         sys.exit(1)

muicebot/llm/embeddings/gemini.py

@@ -19,7 +19,7 @@ async def embed(self, texts: list[str]) -> EmbeddingsBatchResult:
         """
         查询文本嵌入
         """
-        result = await self.client.aio.models.embed_content(model=self.model, contents=texts)  # type:ignore
+        result = await self.client.aio.models.embed_content(model=self.model, contents=texts)  # type: ignore
 
         if not result.embeddings:
             raise RuntimeError("Gemini 嵌入查询无返回！")

muicebot/llm/providers/dashscope.py

@@ -275,7 +275,7 @@ async def _tool_calls_handle_sync(
         messages.append(response.output.choices[0].message)
         messages.append({"role": "tool", "content": function_return, "tool_call_id": tool_call_id})
 
-        return await self._ask(messages, tools, response_format, total_tokens)  # type:ignore
+        return await self._ask(messages, tools, response_format, total_tokens)  # type: ignore
 
     async def _tool_calls_handle_stream(
         self,
@@ -296,7 +296,7 @@ async def _tool_calls_handle_stream(
         """
         function_args = json.loads(func_stream.function_args)
 
-        function_return = await function_call_handler(func_stream.function_name, function_args)  # type:ignore
+        function_return = await function_call_handler(func_stream.function_name, function_args)  # type: ignore
 
         messages.append(
             {
@@ -317,7 +317,7 @@ async def _tool_calls_handle_stream(
         )
         messages.append({"role": "tool", "content": function_return, "tool_call_id": func_stream.id})
 
-        return await self._ask(messages, tools, response_format, total_tokens)  # type:ignore
+        return await self._ask(messages, tools, response_format, total_tokens)  # type: ignore
 
     async def _ask(
         self,

muicebot/llm/providers/gemini.py

@@ -98,7 +98,7 @@ def _build_gemini_config(
             tool["parameters"]["required"] = required_parameters
             format_tools.append(tool)
 
-        function_tools = Tool(function_declarations=format_tools)  # type:ignore
+        function_tools = Tool(function_declarations=format_tools)  # type: ignore
 
         if self.enable_search:
             function_tools.google_search = GoogleSearch()
@@ -123,7 +123,7 @@ def _build_user_parts(self, request: ModelRequest) -> list[Part]:
             if resource.type == "image" and resource.path is not None:
                 user_parts.append(
                     Part.from_bytes(
-                        data=get_file_base64(resource.path), mime_type=resource.mimetype or "image/jpeg"  # type:ignore
+                        data=get_file_base64(resource.path), mime_type=resource.mimetype or "image/jpeg"  # type: ignore
                     )
                 )
 
@@ -157,8 +157,8 @@ async def _ask_sync(
 
         try:
             chat = self.client.aio.chats.create(model=self.model_name, config=gemini_config, history=messages[:-1])
-            message = messages[-1].parts  # type:ignore
-            response = await chat.send_message(message=message)  # type:ignore
+            message = messages[-1].parts  # type: ignore
+            response = await chat.send_message(message=message)  # type: ignore
             if response.usage_metadata:
                 total_token_count = response.usage_metadata.total_token_count
                 total_tokens += total_token_count if total_token_count else 0
@@ -182,10 +182,10 @@ async def _ask_sync(
                 function_name = function_call.name
                 function_args = function_call.args
 
-                function_return = await function_call_handler(function_name, function_args)  # type:ignore
+                function_return = await function_call_handler(function_name, function_args)  # type: ignore
 
                 function_response_part = Part.from_function_response(
-                    name=function_name,  # type:ignore
+                    name=function_name,  # type: ignore
                     response={"result": function_return},
                 )
 
@@ -254,10 +254,10 @@ async def _ask_stream(
                     function_name = function_call.name
                     function_args = function_call.args
 
-                    function_return = await function_call_handler(function_name, function_args)  # type:ignore
+                    function_return = await function_call_handler(function_name, function_args)  # type: ignore
 
                     function_response_part = Part.from_function_response(
-                        name=function_name,  # type:ignore
+                        name=function_name,  # type: ignore
                         response={"result": function_return},
                     )
 

muicebot/llm/providers/ollama.py

@@ -170,13 +170,13 @@ async def _ask_stream(
                 if not tool_calls:
                     continue
 
-                for tool in tool_calls:  # type:ignore
+                for tool in tool_calls:  # type: ignore
                     function_name = tool.function.name
                     function_args = tool.function.arguments
 
                     function_return = await function_call_handler(function_name, dict(function_args))
 
-                    messages.append(chunk.message)  # type:ignore
+                    messages.append(chunk.message)  # type: ignore
                     messages.append({"role": "tool", "content": str(function_return), "name": tool.function.name})
 
                     async for content in self._ask_stream(messages, tools, response_format):

muicebot/llm/providers/openai.py

@@ -40,7 +40,7 @@ def __init__(self, model_config: ModelConfig) -> None:
         self.max_tokens = self.config.max_tokens
         self.temperature = self.config.temperature
         self.stream = self.config.stream
-        self.modalities = [m for m in self.config.modalities if m in {"text", "audio"}] or NOT_GIVEN  # type:ignore
+        self.modalities = [m for m in self.config.modalities if m in {"text", "audio"}] or NOT_GIVEN  # type: ignore
         self.audio = self.config.audio if (self.modalities and self.config.audio) else NOT_GIVEN
         self.extra_body = self.config.extra_body
 
@@ -148,20 +148,20 @@ async def _ask_sync(
             logger.debug(f"OpenAI response: id={response.id}, choices={response.choices}, usage={response.usage}")
 
             result = ""
-            message = response.choices[0].message  # type:ignore
+            message = response.choices[0].message  # type: ignore
             total_tokens += response.usage.total_tokens if response.usage else 0
 
             if (
-                hasattr(message, "reasoning_content")  # type:ignore
-                and message.reasoning_content  # type:ignore
+                hasattr(message, "reasoning_content")  # type: ignore
+                and message.reasoning_content  # type: ignore
             ):
-                result += f"<think>{message.reasoning_content}</think>"  # type:ignore
+                result += f"<think>{message.reasoning_content}</think>"  # type: ignore
 
             if response.choices[0].finish_reason == "tool_calls" and self._tool_call_request_precheck(
                 response.choices[0].message
             ):
                 messages.append(response.choices[0].message)
-                tool_call = response.choices[0].message.tool_calls[0]  # type:ignore
+                tool_call = response.choices[0].message.tool_calls[0]  # type: ignore
                 arguments = json.loads(tool_call.function.arguments.replace("'", '"'))
 
                 function_return = await function_call_handler(tool_call.function.name, arguments)
@@ -176,8 +176,8 @@ async def _ask_sync(
                 )
                 return await self._ask_sync(messages, tools, response_format, total_tokens)
 
-            if message.content:  # type:ignore
-                result += message.content  # type:ignore
+            if message.content:  # type: ignore
+                result += message.content  # type: ignore
 
             # 多模态消息处理（目前仅支持 audio 输出）
             if response.choices[0].message.audio:
@@ -259,10 +259,8 @@ async def _ask_stream(
                 answer_content = delta.content
 
                 # 处理思维过程 reasoning_content
-                if (
-                    hasattr(delta, "reasoning_content") and delta.reasoning_content  # type:ignore
-                ):
-                    reasoning_content = chunk.choices[0].delta.reasoning_content  # type:ignore
+                if hasattr(delta, "reasoning_content") and delta.reasoning_content:  # type: ignore
+                    reasoning_content = chunk.choices[0].delta.reasoning_content  # type: ignore
                     stream_completions.chunk = (
                         reasoning_content if is_insert_think_label else "<think>" + reasoning_content
                     )
@@ -278,7 +276,7 @@ async def _ask_stream(
 
                 # 处理多模态消息 (audio-only) (非标准方法，可能出现问题)
                 if hasattr(chunk.choices[0].delta, "audio"):
-                    audio = chunk.choices[0].delta.audio  # type:ignore
+                    audio = chunk.choices[0].delta.audio  # type: ignore
                     if audio.get("data", None):
                         audio_string += audio.get("data")
                     stream_completions.chunk = audio.get("transcript", "")
@@ -366,6 +364,6 @@ async def ask(
             response_format = NOT_GIVEN
 
         if stream:
-            return self._ask_stream(messages, tools, response_format)  # type:ignore
+            return self._ask_stream(messages, tools, response_format)  # type: ignore
 
-        return await self._ask_sync(messages, tools, response_format)  # type:ignore
+        return await self._ask_sync(messages, tools, response_format)  # type: ignore

muicebot/onebot.py

@@ -385,14 +385,12 @@ async def handle_command_profile(
 
 @command_model.assign("help")
 async def handle_model_help():
-    await UniMessage(
-        """Model 命令指南:
+    await UniMessage("""Model 命令指南:
     - help: 显示此帮助信息
     - load <config_name>: 加载模型配置
     - reload: 重新加载模型配置文件
     - list: 列出所有可用的模型配置
-    """
-    ).finish()
+    """).finish()
 
 
 @command_reload.handle()
@@ -484,7 +482,7 @@ async def _extract_multi_resource(
                 path = await download_file(resource.url, file_name=_get_media_filename(resource, type))
             elif resource.origin is not None:
                 logger.warning("无法通过通用方式获取文件URL，回退至适配器自有方式...")
-                path = await get_file_via_adapter(resource.origin, event)  # type:ignore
+                path = await get_file_via_adapter(resource.origin, event)  # type: ignore
             else:
                 continue
 

muicebot/plugin/func_call/caller.py

@@ -57,7 +57,7 @@ def __call__(self, func: F) -> F:
         if is_coroutine_callable(func):
             self.function = func  # type: ignore
         else:
-            self.function = async_wrap(func)  # type:ignore
+            self.function = async_wrap(func)  # type: ignore
 
         self._name = func.__name__
 

muicebot/plugin/loader.py

@@ -104,7 +104,7 @@ def _get_caller_plugin_name() -> Optional[str]:
 
     # find plugin
     frame = current_frame
-    while frame := frame.f_back:  # type:ignore
+    while frame := frame.f_back:  # type: ignore
         module_name = (module := inspect.getmodule(frame)) and module.__name__
 
         if module_name is None: