From 057f034d4cd728c1bd0284e7c6b4a47739d5220d Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期四, 12 十二月 2024 19:57:41 +0800
Subject: [PATCH] yonghu
---
app/api/chat.py | 36 +++++++++++++++++++++++++++---------
1 files changed, 27 insertions(+), 9 deletions(-)
diff --git a/app/api/chat.py b/app/api/chat.py
index 2cfbf20..2628bac 100644
--- a/app/api/chat.py
+++ b/app/api/chat.py
@@ -10,9 +10,11 @@
from Log import logger
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
from app.models.agent_model import AgentModel, AgentType
from app.models.base_model import get_db
from app.models.user_model import UserModel
+from app.service.v2.api_token import DfTokenDao
from app.service.dialog import update_session_history
from app.service.basic import BasicService
from app.service.difyService import DifyService
@@ -39,15 +41,18 @@
ret = {"message": "Agent not found", "type": "close"}
await websocket.send_json(ret)
return
+ print(1111)
agent_type = agent.agent_type
+ print(agent_type)
if chat_id == "" or chat_id == "0":
ret = {"message": "Chat ID not found", "type": "close"}
await websocket.send_json(ret)
return
if agent_type == AgentType.RAGFLOW:
+ print(222)
ragflow_service = RagflowService(settings.fwr_base_url)
- token = get_ragflow_token(db, current_user.id)
+ token = await get_ragflow_token(db, current_user.id)
try:
async def forward_to_ragflow():
while True:
@@ -133,7 +138,7 @@
pass
elif agent_type == AgentType.BISHENG:
- token = get_bisheng_token(db, current_user.id)
+ token = await get_bisheng_token(db, current_user.id)
service_uri = f"{settings.sgb_websocket_url}/api/v1/assistant/chat/{agent_id}?t=&chat_id={chat_id}"
headers = {'cookie': f"access_token_cookie={token};"}
@@ -310,7 +315,10 @@
try:
async def forward_to_dify():
if agent.type == "imageTalk":
- token = settings.dify_api_token
+ token = DfTokenDao(db).get_token_by_id(IMAGE_TO_TEXT)
+ if not token:
+ await websocket.send_json({"message": "Invalid token", "type": "error"})
+
while True:
image_list = []
is_image = False
@@ -334,9 +342,11 @@
except Exception as e:
logger.error(e)
# complete_response = ""
+
answer_str = ""
async for rag_response in dify_service.chat(token, current_user.id, question, upload_file_id,
conversation_id):
+ # print(rag_response)
try:
if rag_response[:5] == "data:":
# 濡傛灉鏄紝鍒欐埅鍙栨帀鍓�5涓瓧绗︼紝骞跺幓闄ら灏剧┖鐧界
@@ -403,8 +413,10 @@
await websocket.send_json(result)
print(f"Error process message of ragflow: {e2}")
elif agent.type == "reportWorkflow":
- print(2323333232)
- token = settings.dify_workflow_clean
+
+ token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_CLEANING)
+ if not token:
+ await websocket.send_json({"message": "Invalid token document_to_cleaning", "type": "error"})
while True:
receive_message = await websocket.receive_json()
print(f"Received from client {chat_id}: {receive_message}")
@@ -426,21 +438,27 @@
except Exception as e:
logger.error(e)
inputs = {
- "input_files": []
}
+ files = []
for file in upload_files:
- inputs["input_files"].append({
+ files.append({
"type": "document",
"transfer_method": "local_file",
"url": "",
"upload_file_id": file
})
+ if workflow_type == 1:
+ inputs["input_files"] = files
if workflow_type == 2:
+ inputs["file_list"] = files
inputs["Completion_of_main_indicators"] = title
- token = settings.dify_workflow_report
+ token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_REPORT)
+ if not token:
+ await websocket.send_json(
+ {"message": "Invalid token document_to_cleaning", "type": "error"})
complete_response = ""
async for rag_response in dify_service.workflow(token, current_user.id, inputs):
- print(rag_response)
+ # print(rag_response)
try:
if rag_response[:5] == "data:":
# 濡傛灉鏄紝鍒欐埅鍙栨帀鍓�5涓瓧绗︼紝骞跺幓闄ら灏剧┖鐧界
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