feat: 查询参与项目的信息

app/controller/add_langgraph_chat_route.py

@@ -2,15 +2,15 @@ import json
 import time
 from typing import Union
 
-from fastapi import FastAPI, Depends
+from fastapi import FastAPI
 from langchain_core.messages import AIMessage, ToolMessage
 from langgraph.graph.state import CompiledStateGraph
 from langgraph.prebuilt import create_react_agent
 from langgraph.types import Command
 from pydantic import BaseModel, Field
+from starlette.requests import Request
 from starlette.responses import StreamingResponse
 
-from app.controller.add_user_route import oauth2_scheme
 from app.model.ConversationModel import ConversationService
 from app.tools.tool_list import tool_list
 from app.utils.db_utils import AsyncSessionDep
@@ -65,14 +65,17 @@ def add_langgraph_chat_route(app: FastAPI):
   @app.post("/langgraph/stream")
   async def langgraph_stream(
     body: dict,
-    token: str = Depends(oauth2_scheme),
+    request: Request,
   ):
     print(":::::::::::::::::::::::::langgraph_stream:::::::::::::::::::::")
     print(body)
+    print(request.state.user)
+    print(request.state.token)
 
     stream_input = body.get('input')
     stream_config = body.get('config')
-    stream_config['configurable']['token'] = token
+    stream_config['configurable']['token'] = request.state.token
+    stream_config['configurable']['user_id'] = request.state.user.id
 
     print("stream_input", stream_input)
     print("stream_config", stream_config)
@@ -104,6 +107,8 @@ def add_langgraph_chat_route(app: FastAPI):
         if emit_chunk['stream_type'] == "messages":
           # messages模式流式输出，此时 chunk[1][0] 为AIMessageChunk
           chunk_message = chunk[1][0]
+          if not chunk_message.content:
+            continue
         else:
           # updates模式流式输出
           for k, v in chunk[1].items():
@@ -144,14 +149,18 @@ def add_langgraph_chat_route(app: FastAPI):
   async def langgraph_chat(
     body: dict,
     thread_id: str,
-    token: str = Depends(oauth2_scheme),
+    request: Request,
   ):
     graph = await ChatAgent.get_agent()
     chat_state = await ChatAgent.get_chat_state(thread_id)
     chat_history_list = chat_state.get('messages')
     graph_state = await graph.ainvoke(
       Command(resume=body.get('resume_data')),
-      config={"configurable": {"thread_id": thread_id, "token": token}}
+      config={"configurable": {
+        "thread_id": thread_id,
+        "token": request.state.token,
+        "user_id": request.state.user.id,
+      }}
     )
     return {
       **graph_state,