From 042e6015f0ac3411cb1d8243ab53d9708755ce14 Mon Sep 17 00:00:00 2001 From: zcr Date: Mon, 29 Dec 2025 13:12:39 +0800 Subject: [PATCH] =?UTF-8?q?fix=EF=BC=9A=E6=97=A0=E5=8E=86=E5=8F=B2?= =?UTF-8?q?=E8=AE=B0=E5=BD=95=E6=80=BB=E7=BB=93=E8=BF=94=E5=9B=9E=E5=8F=82?= =?UTF-8?q?=E6=95=B0=E4=BF=AE=E6=AD=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/server/ChatbotAgent/agent_server.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/server/ChatbotAgent/agent_server.py b/app/server/ChatbotAgent/agent_server.py index 87be7df..fabd136 100644 --- a/app/server/ChatbotAgent/agent_server.py +++ b/app/server/ChatbotAgent/agent_server.py @@ -114,7 +114,7 @@ class LCAgent(ls.LitAPI): occasions = request.occasions else: request_summary, occasions = await self.get_conversation_summary(request.session_id) - logger.info(f"request_summary: {request_summary}") + logger.info(f"request_summary: {request_summary},occasions : {occasions}") # 2.根据对话总结推荐搭配 recommendation_results = await self.recommend_outfit( @@ -146,7 +146,7 @@ class LCAgent(ls.LitAPI): history_messages = self.redis.get_history(session_id) if not history_messages: # 处理无历史记录的情况 - return {"occasions": [], "summary": "User has no history provided."} + return "User has no history provided.", [] input_message = "\n".join([f"{msg.role.value}: {msg.content}" for msg in history_messages]) json_schema = StylistResponse.model_json_schema()