调整总结逻辑，支持流式回复，并且加入深度思考兼容

plugins/message_summary/main.py

@@ -219,7 +219,7 @@ class MessageSummaryPlugin(MessagePluginInterface):
         data = {
             "inputs": {},
             "query": f"请根据[{group_name}]群的群聊记录生成一份总结：\n\n{content_compress}",
-            "response_mode": "blocking",  # 使用阻塞模式，直接获取完整响应
+            "response_mode": "streaming",
             "conversation_id": "",
             "user": group_name if group_name is not None else "message_summary_bot",
             "files": []  # 不包含文件
@@ -233,63 +233,57 @@ class MessageSummaryPlugin(MessagePluginInterface):
         }
 
         try:
-            async with aiohttp.ClientSession() as session:
+            timeout = aiohttp.ClientTimeout(total=600, sock_read=120)
+            async with aiohttp.ClientSession(timeout=timeout) as session:
                 async with session.post(self._api_url, headers=headers, json=data) as response:
-                    response.raise_for_status()  # 检查请求是否成功
-                    response_data = await response.json()
-
+                    response.raise_for_status()
                     self.LOG.info(f"Dify API响应状态码: {response.status}")
-                    self.LOG.debug(f"响应数据: {json.dumps(response_data, ensure_ascii=False, indent=2)}")
-
-                    # 提取回答内容
-                    answer = response_data.get("answer", "")
-                    # 去除广告内容pollinations.ai 的广告
-                    # answer = remove_trailing_content(answer)
-                    spath = ""
-                    # 提取token使用情况
-                    metadata = response_data.get("metadata", {})
-                    usage = metadata.get("usage", {})
-
-                    if usage:
-                        prompt_tokens = usage.get("prompt_tokens", 0)
-                        completion_tokens = usage.get("completion_tokens", 0)
-                        total_tokens = usage.get("total_tokens", 0)
-
-                        # 添加token信息
-                        tokens_info = f"\n\n【tokens】输入: {prompt_tokens} 生成: {completion_tokens} 总: {total_tokens}"
-                        answer += tokens_info
+                    answer_parts = []
+                    current_event = None
+                    data_buffer = []
+                    async for raw_line in response.content:
+                        line = raw_line.decode("utf-8").rstrip("\n")
+                        if not line:
+                            if data_buffer:
+                                payload_str = "\n".join(data_buffer)
+                                try:
+                                    payload = json.loads(payload_str)
+                                    if current_event == "message":
+                                        chunk = payload.get("answer") or ""
+                                        if chunk:
+                                            answer_parts.append(chunk)
+                                except Exception as e:
+                                    self.LOG.debug(f"SSE数据解析失败: {e}")
+                            current_event = None
+                            data_buffer = []
+                            continue
+                        if line.startswith(":"):
+                            continue
+                        if line.startswith("event:"):
+                            current_event = line.split(":", 1)[1].strip()
+                            continue
+                        if line.startswith("data:"):
+                            data_buffer.append(line[5:].strip())
+                            continue
+                    answer = "".join(answer_parts)
+                    spath = None
+                    if answer:
                         try:
-                            # 使用唯一文件名并指定完整路径
                             timestamp = int(time.time())
                             output_path = f"summary_{timestamp}.png"
-                            # 构建完整的输出路径
                             self.LOG.info(f"开始生成图片: {output_path}")
                             spath = await convert_md_str_to_image(answer, output_path)
                             self.LOG.info(f"成功生成图片: {spath}")
                         except Exception as e:
                             self.LOG.error(f"生成图片失败: {e}", exc_info=True)
-                            # 如果图片生成失败，尝试发送纯文本消息
-                            try:
-                                # 截断过长的文本，避免消息太长
-                                max_length = 2000
-                                if len(answer) > max_length:
-                                    answer = answer[:max_length] + "\n\n... (内容过长，已截断)"
-                                self.LOG.info("图片生成失败，将发送文本消息作为备选方案")
-                                spath = None  # 设置为None，让调用方知道需要发送文本
-                            except Exception as fallback_error:
-                                self.LOG.error(f"备选文本发送也失败: {fallback_error}")
-                                spath = None
-                    # 返回文本内容和图片路径
+                            max_length = 2000
+                            if len(answer) > max_length:
+                                answer = answer[:max_length] + "\n\n... (内容过长，已截断)"
+                            spath = None
                     return answer, spath
-
         except aiohttp.ClientError as e:
             self.LOG.error(f"请求Dify API时出错: {e}")
             return f"生成总结时出错", None
-
-        except json.JSONDecodeError as e:
-            self.LOG.error(f"解析Dify API响应时出错: {e}")
-            return "解析API响应时出错", None
-
         except Exception as e:
             self.LOG.error(f"处理总结时出现未知错误: {e}")
             return f"生成总结时出现未知错误", None