feat(message_summary): switch to streaming workflow

plugins/message_summary/config.toml

@@ -4,9 +4,12 @@
 enabled = true
 
 [api]
-api_key = "app-McGLzBhBjeBCSEi7n83MtuTo"
+api_key = "app-shCA6bo5l2VDmnvhg2BtuJbk"
-api_url = "http://192.168.2.240/v1/chat-messages"
+api_base_url = "http://192.168.2.240/v1"
-response_mode = "blocking"
+mode = "workflow"
+endpoint = "workflows/run"
+workflow_output_key = "text"
+response_mode = "streaming"
 connect_timeout_seconds = 10
 request_timeout_seconds = 180
 retry_delays_seconds = [10, 20]

plugins/message_summary/main.py

@@ -83,7 +83,12 @@ class MessageSummaryPlugin(MessagePluginInterface):
             # 从插件配置中获取API密钥和URL
             api_config = self._config.get("api", {})
             self._api_key = api_config.get("api_key", "app-McGLzBhBjeBCSEi7n83MtuTo")
-            self._api_url = api_config.get("api_url", "http://192.168.2.240/v1/chat-messages")
+            self._api_base_url = str(api_config.get("api_base_url", "http://192.168.2.240/v1")).rstrip("/")
+            self._api_mode = str(api_config.get("mode", "workflow")).strip().lower()
+            default_endpoint = "workflows/run" if self._api_mode == "workflow" else "chat-messages"
+            self._api_endpoint = str(api_config.get("endpoint", default_endpoint)).lstrip("/")
+            self._api_url = api_config.get("api_url", f"{self._api_base_url}/{self._api_endpoint}")
+            self._workflow_output_key = str(api_config.get("workflow_output_key", "text")).strip()
             self._response_mode = api_config.get("response_mode", "blocking")
             self._connect_timeout_seconds = int(api_config.get("connect_timeout_seconds", 10))
             self._request_timeout_seconds = int(api_config.get("request_timeout_seconds", 180))
@@ -216,10 +221,11 @@ class MessageSummaryPlugin(MessagePluginInterface):
             sanitized_name = "群聊"
         return sanitized_name
 
-    async def _parse_streaming_response(self, response: aiohttp.ClientResponse) -> Tuple[str, Dict[str, Any]]:
+    async def _parse_streaming_response(self, response: aiohttp.ClientResponse) -> Dict[str, Any]:
         """解析 Dify 的 SSE 流式响应"""
         answer_parts: List[str] = []
         metadata: Dict[str, Any] = {}
+        final_payload: Dict[str, Any] = {}
         buffer = ""
 
         async for chunk in response.content.iter_any():
@@ -253,18 +259,42 @@ class MessageSummaryPlugin(MessagePluginInterface):
                     self.LOG.warning(f"无法解析流式响应片段: {payload_text[:200]}")
                     continue
 
-                event_name = payload.get("event", "")
+                event_name = str(payload.get("event", "")).strip()
                 if event_name in {"message", "agent_message"}:
                     chunk_text = payload.get("answer", "")
                     if chunk_text:
                         answer_parts.append(chunk_text)
                 elif event_name in {"message_end", "workflow_finished"}:
+                    final_payload = payload
+                    if self._api_mode == "workflow":
+                        payload_data = payload.get("data", {}) if isinstance(payload.get("data"), dict) else {}
+                        outputs = payload_data.get("outputs", {}) if isinstance(payload_data.get("outputs"), dict) else {}
+                        if outputs:
+                            for key in filter(None, [self._workflow_output_key, "text", "answer", "result_json", "result"]):
+                                if outputs.get(key) is not None:
+                                    answer_parts = [self._stringify_output(outputs.get(key))]
+                                    break
                     metadata = payload.get("metadata", {}) or payload.get("data", {}).get("metadata", {}) or metadata
                 elif event_name == "error":
                     raise RuntimeError(payload.get("message") or payload.get("error") or "流式总结生成失败")
+                else:
+                    if self._api_mode == "workflow":
+                        payload_data = payload.get("data", {}) if isinstance(payload.get("data"), dict) else {}
+                        outputs = payload_data.get("outputs", {}) if isinstance(payload_data.get("outputs"), dict) else {}
+                        for key in filter(None, [self._workflow_output_key, "text", "answer", "result_json", "result"]):
+                            if outputs.get(key) is not None:
+                                chunk_text = self._stringify_output(outputs.get(key))
+                                if chunk_text:
+                                    answer_parts.append(chunk_text)
+                                break
 
         answer = "".join(answer_parts)
-        return answer, metadata
+        return {
+            "answer": answer,
+            "metadata": metadata,
+            "data": final_payload.get("data", {}) if isinstance(final_payload, dict) else {},
+            "event": final_payload.get("event", "") if isinstance(final_payload, dict) else "",
+        }
 
     def _append_usage_info(self, answer: str, metadata: Dict[str, Any]) -> str:
         """把 token 统计追加到总结文本末尾"""
@@ -288,6 +318,46 @@ class MessageSummaryPlugin(MessagePluginInterface):
         cleaned = re.sub(r'\n{3,}', '\n\n', cleaned).strip()
         return cleaned
 
+    def _stringify_output(self, value: Any) -> str:
+        """把 workflow 输出统一转成文本"""
+        if value is None:
+            return ""
+        if isinstance(value, str):
+            return value.strip()
+        if isinstance(value, (dict, list)):
+            return json.dumps(value, ensure_ascii=False)
+        return str(value).strip()
+
+    def _parse_workflow_response(self, response_data: Dict[str, Any]) -> Tuple[str, Dict[str, Any]]:
+        """解析 Dify workflow 响应"""
+        payload = (response_data or {}).get("data", {}) or {}
+        outputs = payload.get("outputs", {}) or {}
+        answer = ""
+
+        if self._workflow_output_key and outputs.get(self._workflow_output_key) is not None:
+            answer = self._stringify_output(outputs.get(self._workflow_output_key))
+        elif outputs.get("text") is not None:
+            answer = self._stringify_output(outputs.get("text"))
+        elif outputs.get("answer") is not None:
+            answer = self._stringify_output(outputs.get("answer"))
+        elif outputs.get("result_json") is not None:
+            answer = self._stringify_output(outputs.get("result_json"))
+        elif outputs.get("result") is not None:
+            answer = self._stringify_output(outputs.get("result"))
+        else:
+            for value in outputs.values():
+                answer = self._stringify_output(value)
+                if answer:
+                    break
+
+        metadata = {
+            "usage": {
+                "total_tokens": payload.get("total_tokens", 0),
+                "latency": payload.get("elapsed_time", 0),
+            }
+        }
+        return answer, metadata
+
     def _get_revoke_manager(self) -> Optional[MessageAutoRevoke]:
         """优先使用消息上下文中的撤回器，定时任务场景则懒初始化一个"""
         if self.revoke:
@@ -352,15 +422,26 @@ class MessageSummaryPlugin(MessagePluginInterface):
         except Exception as e:
             self.LOG.error(f"压缩内容失败：{e}")
 
-        # 准备请求数据
+        prompt = f"请根据[{group_name}]群的群聊记录生成一份总结：\n\n{content_compress}"
-        data = {
+        if self._api_mode == "workflow":
-            "inputs": {},
+            data = {
-            "query": f"请根据[{group_name}]群的群聊记录生成一份总结：\n\n{content_compress}",
+                "inputs": {
-            "response_mode": self._response_mode,
+                    "query": prompt,
-            "conversation_id": "",
+                    "group_name": group_name,
-            "user": group_name if group_name is not None else "message_summary_bot",
+                    "chat_content": content_compress,
-            "files": []  # 不包含文件
+                },
-        }
+                "response_mode": self._response_mode,
+                "user": group_name if group_name is not None else "message_summary_bot",
+            }
+        else:
+            data = {
+                "inputs": {},
+                "query": prompt,
+                "response_mode": self._response_mode,
+                "conversation_id": "",
+                "user": group_name if group_name is not None else "message_summary_bot",
+                "files": []
+            }
 
         self.LOG.info(f"群聊总结内容：{data}")
         # 设置请求头
@@ -384,23 +465,21 @@ class MessageSummaryPlugin(MessagePluginInterface):
                     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
                         if self._response_mode == "streaming":
-                            answer, metadata = await self._parse_streaming_response(response)
+                            response_data = await self._parse_streaming_response(response)
-                            response_data = {
-                                "answer": answer,
-                                "metadata": metadata,
-                            }
                         else:
                             response_data = await response.json()
 
                         self.LOG.info(f"Dify API响应状态码: {response.status}, attempt={attempt}")
                         self.LOG.debug(f"响应数据: {json.dumps(response_data, ensure_ascii=False, indent=2)}")
 
-                        # 提取回答内容
+                        if self._api_mode == "workflow":
-                        answer = response_data.get("answer", "")
+                            answer, metadata = self._parse_workflow_response(response_data)
+                        else:
+                            answer = response_data.get("answer", "")
+                            metadata = response_data.get("metadata", {})
+
                         answer = self._clean_summary_output(answer)
                         spath = ""
-                        # 提取token使用情况
-                        metadata = response_data.get("metadata", {})
                         answer = self._append_usage_info(answer, metadata)
 
                         if answer and len(answer.strip()) > 0: