From 383c21560fcb7012cd2e5b15d559e46d038c87b0 Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期二, 25 二月 2025 09:54:43 +0800
Subject: [PATCH] 增加设备分析
---
app/api/chat.py | 7 +++++--
1 files changed, 5 insertions(+), 2 deletions(-)
diff --git a/app/api/chat.py b/app/api/chat.py
index 5ca3277..f6153df 100644
--- a/app/api/chat.py
+++ b/app/api/chat.py
@@ -11,7 +11,8 @@
from app.api import get_current_user_websocket
from app.config.config import settings
from app.config.const import IMAGE_TO_TEXT, DOCUMENT_TO_REPORT, DOCUMENT_TO_CLEANING, DOCUMENT_IA_QUESTIONS, \
- DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE, DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS
+ DOCUMENT_TO_REPORT_TITLE, DOCUMENT_TO_TITLE, DOCUMENT_TO_PAPER, DOCUMENT_IA_QUESTIONS_DS, \
+ DOCUMENT_IA_QUESTIONS_EQUIPMENT
from app.models import MenuCapacityModel
from app.models.agent_model import AgentModel, AgentType
from app.models.base_model import get_db
@@ -39,6 +40,7 @@
print(f"Client {agent_id} connected")
agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first()
if not agent:
+ print("Agent not found")
agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first()
agent_type = agent.agent_type
chat_type = agent.type
@@ -808,10 +810,11 @@
result = {"message": f"鍐呴儴閿欒锛� {e2}", "type": "close"}
await websocket.send_json(result)
print(f"Error process message of ragflow: {e2}")
- elif chat_type == "documentIa" or chat_type == "documentIaDs":
+ elif chat_type == "documentIa" or chat_type == "documentIaDs" or chat_type == "documentIaEq":
token_dict = {
"documentIa": DOCUMENT_IA_QUESTIONS,
"documentIaDs": DOCUMENT_IA_QUESTIONS_DS,
+ "documentIaEq": DOCUMENT_IA_QUESTIONS_EQUIPMENT,
}
token = DfTokenDao(db).get_token_by_id(token_dict[chat_type])
# print(token)
--
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