feat: optimize langgraph chat route

app/controller/add_langgraph_chat_route.py

@@ -61,6 +61,11 @@ class ChatAgent:
 
 
 def add_langgraph_chat_route(app: FastAPI):
+  @app.post("/project/analysis")
+  async def project_analysis(body: dict):
+    project_name = body.get('name')
+    return {}
+
   # 流式对话接口
   @app.post("/langgraph/stream")
   async def langgraph_stream(
@@ -90,9 +95,9 @@ def add_langgraph_chat_route(app: FastAPI):
       # chat_state = await ChatAgent.get_chat_state(thread_id)
       # chat_history_list = chat_state.get('messages')
 
-      # has_emit_chunk 用来优化流式传输，避免将content为空的为AIMessageChunk发送给前端（实际上此时正在输出思考内容）
+      # has_emit_message_id 用来优化流式传输，避免将content为空的为AIMessageChunk发送给前端（实际上此时正在输出思考内容）
       # 第一次的时候输出，后续再输出content为空的AIMessageChunk不发送给前端
-      has_emit_chunk = False
+      has_emit_message_id = {}
 
       async for chunk in graph.astream(
         stream_input,
@@ -114,7 +119,7 @@ def add_langgraph_chat_route(app: FastAPI):
           # messages模式流式输出，此时 chunk[1][0] 为AIMessageChunk
           chunk_message = chunk[1][0]
           if not chunk_message.content:
-            if has_emit_chunk:
+            if has_emit_message_id.get(chunk_message.id):
               continue
         else:
           # updates模式流式输出
@@ -132,7 +137,7 @@ def add_langgraph_chat_route(app: FastAPI):
           "msg_type": chunk_message.type,
           "msg_content": chunk_message.content,
         }
-        has_emit_chunk = True
+        has_emit_message_id[chunk_message.id] = True
 
         if isinstance(chunk_message, AIMessage):
           if chunk_message.tool_calls: