From 282a631b9ceee9a634ee1d93751a5254ed37ccef Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期二, 18 三月 2025 10:10:48 +0800
Subject: [PATCH] 首页知识库对话-rg
---
app/service/v2/chat.py | 35 ++++++++++++++++++++++++++++++++---
1 files changed, 32 insertions(+), 3 deletions(-)
diff --git a/app/service/v2/chat.py b/app/service/v2/chat.py
index 38683a8..3982bdc 100644
--- a/app/service/v2/chat.py
+++ b/app/service/v2/chat.py
@@ -6,6 +6,7 @@
import fitz
from fastapi import HTTPException
+from sqlalchemy import or_
from Log import logger
from app.config.agent_base_url import RG_CHAT_DIALOG, DF_CHAT_AGENT, DF_CHAT_PARAMETERS, RG_CHAT_SESSIONS, \
@@ -13,7 +14,7 @@
from app.config.config import settings
from app.config.const import *
from app.models import DialogModel, ApiTokenModel, UserTokenModel, ComplexChatSessionDao, ChatDataRequest, \
- ComplexChatDao
+ ComplexChatDao, KnowledgeModel, UserModel
from app.models.v2.session_model import ChatSessionDao, ChatData
from app.service.v2.app_driver.chat_agent import ChatAgent
from app.service.v2.app_driver.chat_data import ChatBaseApply
@@ -87,17 +88,45 @@
return ChatAgent(), url
-async def service_chat_dialog(db, chat_id: str, question: str, session_id: str, user_id, mode: str):
+
+async def get_user_kb(db, user_id: int, kb_ids: list) -> list:
+ res = []
+ user = db.query(UserModel).filter(UserModel.id == user_id).first()
+ if user is None:
+ return res
+ query = db.query(KnowledgeModel)
+ if user.permission != "admin":
+ klg_list = [j.id for i in user.groups for j in i.knowledges]
+ query = query.filter(or_(KnowledgeModel.id.in_(klg_list), KnowledgeModel.tenant_id == str(user_id)))
+ kb_list= query.all()
+ for kb in kb_list:
+ if kb.id in kb_ids:
+ if kb.permission == "team":
+ res.append(kb.id)
+ elif kb.tenant_id == str(user_id):
+ res.append(kb.id)
+ return res
+ else:
+ return kb_ids
+
+
+async def service_chat_dialog(db, chat_id: str, question: str, session_id: str, user_id: int, mode: str, kb_ids: list):
conversation_id = ""
token = await get_chat_token(db, rg_api_token)
url = settings.fwr_base_url + RG_CHAT_DIALOG.format(chat_id)
+ kb_id = await get_user_kb(db, user_id, kb_ids)
+ if not kb_id:
+ yield "data: " + json.dumps({"message": smart_message_error,
+ "error": "\n**ERROR**: The agent has no knowledge base to work with!", "status": http_400},
+ ensure_ascii=False) + "\n\n"
+ return
chat = ChatDialog()
session = await add_session_log(db, session_id, question, chat_id, user_id, mode, session_id, RG_TYPE)
if session:
conversation_id = session.conversation_id
message = {"role": "assistant", "answer": "", "reference": {}}
try:
- async for ans in chat.chat_completions(url, await chat.request_data(question, conversation_id),
+ async for ans in chat.chat_completions(url, await chat.complex_request_data(question, kb_id, conversation_id),
await chat.get_headers(token)):
data = {}
error = ""
--
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