AI后端程序增加对RabbitMQ的使用

bbit_ai/app/routers/RabbitMQ.py

@@ -0,0 +1,12 @@
+from fastapi import APIRouter
+
+from models.AnalysisRequest import AnalysisRequest
+from service.Analyze import mq_new_analysis
+
+rqRouter = APIRouter()
+
+
+@rqRouter.post("/analyze")
+def send_analysis_request(req: AnalysisRequest):
+    mq_new_analysis(req)
+    return {"status": "queued"}

bbit_ai/app/routers/Service.py

@@ -1,22 +1,27 @@
-from models.ChatRequest import ChatRequest
-from models.BaseResponse import BaseResponse
 import uuid
-import db.postgres as pg
-import uuid
-from fastapi import APIRouter, Depends
 from uuid import UUID
+
+from fastapi import APIRouter, Depends
+
+import db.postgres as pg
 from config.security import get_user_id_from_token
+from models.BaseResponse import BaseResponse
+from models.ChatRequest import ChatRequest
+
 serviceRouter = APIRouter()
 from llm.titleChain import get_title
 from agent.serviceAgent import get_service_agent_reply
 from llm.memLLM import take_memory
 import utils.MyUtils as utils
+
+
 # 对话列表
 @serviceRouter.get("/sessionsForService")
 def getSessions(user_id: UUID = Depends(get_user_id_from_token)):
     if not user_id:
         return {"error": "userId is required"}
-    return BaseResponse(data=pg.get_sessions(user_id,'service'))
+    return BaseResponse(data=pg.get_sessions(user_id, "service"))
+
 
 # 对话
 @serviceRouter.post("/chatForService")
@@ -30,7 +35,7 @@ def chat(req: ChatRequest, user_id: UUID = Depends(get_user_id_from_token)):
     if not req.sessionId:
         isNewSession = True
         req.sessionId = str(uuid.uuid4())
-        pg.insert_session(user_id,req.aiId, req.sessionId, sessionName, "service")
+        pg.insert_session(user_id, req.aiId, req.sessionId, sessionName, "service")
     else:
         isNewSession = False
         pg.update_session_updated_at(req.sessionId)
@@ -38,10 +43,27 @@ def chat(req: ChatRequest, user_id: UUID = Depends(get_user_id_from_token)):
     # 插入用户消息
     pg.insert_message(req.sessionId, False, req.userInput)
 
-    answer = get_service_agent_reply(aiId=req.aiId,history=pg.get_history_with_time(req.sessionId,6), userInput= req.userInput,kn_bases=pg.get_ai_available_kn_bases(req.aiId))
+    answer = get_service_agent_reply(
+        aiId=req.aiId,
+        history=pg.get_history_with_time(req.sessionId, 6),
+        userInput=req.userInput,
+        kn_bases=pg.get_ai_available_kn_bases(req.aiId),
+    )
     # 插入 AI 回复
     pg.insert_message(req.sessionId, True, answer)
 
     # 异步执行：记忆判断
-    utils.async_db_task(take_memory,req.aiId,req.sessionId,user_id,)
-    return BaseResponse(data={"sessionName":sessionName,"isNewSession":isNewSession,"content":answer,"sessionId": req.sessionId})
+    utils.async_new_task(
+        take_memory,
+        req.aiId,
+        req.sessionId,
+        user_id,
+    )
+    return BaseResponse(
+        data={
+            "sessionName": sessionName,
+            "isNewSession": isNewSession,
+            "content": answer,
+            "sessionId": req.sessionId,
+        }
+    )