feat: message.content 支持 mirai.MessageChain 对象 (#741)

.gitignore

@@ -34,4 +34,4 @@ bard.json
 res/instance_id.json
 .DS_Store
 /data
-botpy.log
+botpy.log*

pkg/pipeline/cntfilter/cntfilter.py

@@ -135,9 +135,17 @@ class ContentFilterStage(stage.PipelineStage):
                 query
             )
         elif stage_inst_name == 'PostContentFilterStage':
-            return await self._post_process(
-                query.resp_messages[-1].content,
-                query
-            )
+            # 仅处理 query.resp_messages[-1].content 是 str 的情况
+            if isinstance(query.resp_messages[-1].content, str):
+                return await self._post_process(
+                    query.resp_messages[-1].content,
+                    query
+                )
+            else:
+                self.ap.logger.debug(f"resp_messages[-1] 不是 str 类型，跳过内容过滤器检查。")
+                return entities.StageProcessResult(
+                    result_type=entities.ResultType.CONTINUE,
+                    new_query=query
+                )
         else:
             raise ValueError(f'未知的 stage_inst_name: {stage_inst_name}')

pkg/pipeline/longtext/longtext.py

@@ -56,8 +56,19 @@ class LongTextProcessStage(stage.PipelineStage):
         await self.strategy_impl.initialize()
     
     async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
-        if len(str(query.resp_message_chain)) > self.ap.platform_cfg.data['long-text-process']['threshold']:
+        # 检查是否包含非 Plain 组件
+        contains_non_plain = False
+
+        for msg in query.resp_message_chain:
+            if not isinstance(msg, Plain):
+                contains_non_plain = True
+                break
+        
+        if contains_non_plain:
+            self.ap.logger.debug("消息中包含非 Plain 组件，跳过长消息处理。")
+        elif len(str(query.resp_message_chain)) > self.ap.platform_cfg.data['long-text-process']['threshold']:
             query.resp_message_chain = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain), query))
+
         return entities.StageProcessResult(
             result_type=entities.ResultType.CONTINUE,
             new_query=query

pkg/pipeline/process/handlers/chat.py

@@ -44,7 +44,7 @@ class ChatMessageHandler(handler.MessageHandler):
                 query.resp_messages.append(
                     llm_entities.Message(
                         role='plugin',
-                        content=str(mc),
+                        content=mc,
                     )
                 )
 

pkg/pipeline/wrapper/wrapper.py

@@ -34,7 +34,10 @@ class ResponseWrapper(stage.PipelineStage):
                 new_query=query
             )
         elif query.resp_messages[-1].role == 'plugin':
-            query.resp_message_chain = mirai.MessageChain(query.resp_messages[-1].content)
+            if not isinstance(query.resp_messages[-1].content, mirai.MessageChain):
+                query.resp_message_chain = mirai.MessageChain(query.resp_messages[-1].content)
+            else:
+                query.resp_message_chain = query.resp_messages[-1].content
 
             yield entities.StageProcessResult(
                 result_type=entities.ResultType.CONTINUE,

pkg/provider/entities.py

@@ -4,6 +4,8 @@ import typing
 import enum
 import pydantic
 
+import mirai
+
 
 class FunctionCall(pydantic.BaseModel):
     name: str
@@ -28,7 +30,7 @@ class Message(pydantic.BaseModel):
     name: typing.Optional[str] = None
     """名称，仅函数调用返回时设置"""
 
-    content: typing.Optional[str] = None
+    content: typing.Optional[str] | typing.Optional[mirai.MessageChain] = None
     """内容"""
 
     function_call: typing.Optional[FunctionCall] = None
@@ -41,7 +43,7 @@ class Message(pydantic.BaseModel):
 
     def readable_str(self) -> str:
         if self.content is not None:
-            return self.content
+            return str(self.content)
         elif self.function_call is not None:
             return f'{self.function_call.name}({self.function_call.arguments})'
         elif self.tool_calls is not None: