From a01c838f32839349c243f586fb003333899cab81 Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期一, 06 一月 2025 17:54:22 +0800
Subject: [PATCH] yohua
---
app/api/chat.py | 711 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++--
1 files changed, 680 insertions(+), 31 deletions(-)
diff --git a/app/api/chat.py b/app/api/chat.py
index a42c819..d223c69 100644
--- a/app/api/chat.py
+++ b/app/api/chat.py
@@ -1,19 +1,28 @@
import json
+import re
import uuid
from fastapi import WebSocket, WebSocketDisconnect, APIRouter, Depends
import asyncio
import websockets
from sqlalchemy.orm import Session
+from starlette.responses import PlainTextResponse
+
+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, DOCUMENT_TO_REPORT_TITLE, \
+ DOCUMENT_TO_TITLE, DOCUMENT_IA_QUESTIONS
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.common.api_token import DfTokenDao
from app.service.dialog import update_session_history
from app.service.basic import BasicService
+from app.service.difyService import DifyService
from app.service.ragflow import RagflowService
from app.service.service_token import get_bisheng_token, get_ragflow_token
+from app.service.session import SessionService
router = APIRouter()
@@ -30,11 +39,14 @@
print(f"Client {agent_id} connected")
agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first()
+ print(agent_id)
if not agent:
ret = {"message": "Agent not found", "type": "close"}
await websocket.send_json(ret)
return
+
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)
@@ -46,7 +58,6 @@
try:
async def forward_to_ragflow():
while True:
- is_new = False
message = await websocket.receive_json()
print(f"Received from client {chat_id}: {message}")
chat_history = message.get('chatHistory', [])
@@ -54,7 +65,6 @@
if len(chat_history) == 0:
chat_history = await ragflow_service.get_session_history(token, chat_id)
if len(chat_history) == 0:
- is_new = True
chat_history = await ragflow_service.set_session(token, agent_id,
message, chat_id, True)
# print("chat_history------------------------", chat_history)
@@ -100,8 +110,12 @@
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}")
- dialog_chat_history = await ragflow_service.get_session_history(token, chat_id, 1)
- await update_session_history(db, dialog_chat_history, current_user.id, is_new)
+ try:
+ dialog_chat_history = await ragflow_service.get_session_history(token, chat_id, 1)
+ await update_session_history(db, dialog_chat_history, current_user.id)
+ except Exception as e:
+ logger.error(e)
+ logger.error("-----------------淇濆瓨ragflow鐨勫巻鍙蹭細璇濆紓甯�-----------------")
# 鍚姩浠诲姟澶勭悊瀹㈡埛绔秷鎭�
tasks = [
@@ -199,48 +213,683 @@
pass
elif agent_type == AgentType.BASIC:
try:
+ service = BasicService(base_url=settings.basic_base_url)
while True:
# 鎺ユ敹鍓嶇娑堟伅
message = await websocket.receive_json()
question = message.get("message")
+ try:
+ SessionService(db).create_session(
+ chat_id,
+ question,
+ agent_id,
+ AgentType.BASIC,
+ current_user.id
+ )
+ except Exception as e:
+ logger.error(e)
if not question:
await websocket.send_json({"message": "Invalid request", "type": "error"})
continue
+ logger.error(agent.type)
+ if agent.type == "questionTalk":
- service = BasicService(base_url=settings.basic_base_url)
- async for result in service.excel_talk(question, chat_id):
try:
- if result[: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
- text = result[5:].strip()
- else:
- # 鍚﹀垯锛屼繚鎸佸師鏍�
- text = result
+ data = await service.questions_talk(question, chat_id)
+ output = data.get("output", "")
+ file_name = data.get("filename", "")
+
+ excel_url = None
+ if file_name:
+ excel_url = f"/api/files/download/?agent_id=basic_question_talk&file_id={file_name}&file_type=word"
+ result = {"message": output, "type": "message", "file_url": excel_url, "file_name": file_name}
try:
- data = json.loads(text)
- output = data.get("output", "")
- excel_name = data.get("excel_name", "")
- image_name = data.get("excel_name", "")
- excel_url = None
- image_url = None
- if excel_name:
- excel_url = f"/api/files/download/?agent_id=basic_excel_talk&file_id={excel_name}&file_type=excel"
- if image_name:
- image_url = f"/api/files/download/?agent_id=basic_excel_talk&file_id={image_name}&file_type=image"
- result = {"message": output, "type": "message", "excel_url": excel_url, "image_url": image_url}
- await websocket.send_json(result | data)
- except json.JSONDecodeError as e:
- print(f"Error decoding JSON: {e}")
- print(f"Response text: {text}")
- except Exception as e2:
- result = {"message": f"鍐呴儴閿欒锛� {e2}", "type": "close"}
+ SessionService(db).update_session(chat_id,
+ message={"role": "assistant", "content": result})
+ except Exception as e:
+ logger.error(e)
+ logger.error("-----------------杩斿洖鏁版嵁--------------------")
await websocket.send_json(result)
- print(f"Error process message of basic agent: {e2}")
+ except Exception as e2:
+
+ result = {"message": f"鍐呴儴閿欒锛� {e2}", "type": "close"}
+ logger.error(str(e2))
+ logger.error(f"Error process message of basic chuti agent: {e2}")
+ await websocket.send_json(result)
+
+ else:
+ message_data = {}
+ logger.error("---------------------excel_talk-----------------------------")
+ excel_url = ""
+ image_url = ""
+ image_name = ""
+ excel_name = ""
+ async for data in service.excel_talk(question, chat_id):
+ # logger.error(data)
+ output = data.get("output", "")
+ e_name = data.get("excel_name", "")
+ i_name = data.get("image_name", "")
+
+ def build_file_url(name, file_type):
+ if not name:
+ return None
+ return (f"/api/files/download/?agent_id={agent_id}&file_id={name}"
+ f"&file_type={file_type}")
+
+ if e_name:
+ excel_url = build_file_url(e_name, 'excel')
+ excel_name = e_name
+ if i_name:
+ image_url = build_file_url(i_name, 'image')
+ image_name = i_name
+ if data["type"] == "message":
+ message_data = {
+ "content": output,
+ "excel_url": excel_url,
+ "image_url": image_url,
+ "image_name": image_name,
+ "excel_name": excel_name,
+ "sql": data.get("sql", ""),
+ "code": data.get("code", ""),
+ "e": data.get("e", ""),
+ "role": "assistant"}
+
+ # 鍙戦�佺粨鏋滅粰瀹㈡埛绔�
+ # data["type"] = "message"
+ data["message"] = output
+ data["excel_url"] = excel_url
+ data["image_url"] = image_url
+ await websocket.send_json(data)
+ if message_data:
+ try:
+ SessionService(db).update_session(chat_id, message=message_data)
+ except Exception as e:
+ logger.error(f"Unexpected error when update_session: {e}")
except Exception as e:
- await websocket.send_json({"message": str(e), "type": "error"})
+ logger.error(e)
+ await websocket.send_json({"message": "鍑虹幇閿欒锛�", "type": "error"})
finally:
await websocket.close()
print(f"Client {agent_id} disconnected")
+ if agent_type == AgentType.DIFY:
+ dify_service = DifyService(settings.dify_base_url)
+ # token = get_dify_token(db, current_user.id)
+ try:
+ async def forward_to_dify():
+ if agent.type == "imageTalk":
+ 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
+ conversation_id = ""
+ receive_message = await websocket.receive_json()
+ print(f"Received from client {chat_id}: {receive_message}")
+ upload_file_id = receive_message.get('upload_file_id', "")
+ question = receive_message.get('message', "")
+ if not question and not image_url:
+ await websocket.send_json({"message": "Invalid request", "type": "error"})
+ continue
+ try:
+ session = SessionService(db).create_session(
+ chat_id,
+ question,
+ agent_id,
+ AgentType.DIFY,
+ current_user.id
+ )
+ conversation_id = session.conversation_id
+ except Exception as e:
+ logger.error(e)
+ # complete_response = ""
+ files = []
+ if upload_file_id:
+ files.append({
+ "type": "image",
+ "transfer_method": "local_file",
+ "url": "",
+ "upload_file_id": upload_file_id
+ })
+ answer_str = ""
+ async for rag_response in dify_service.chat(token, current_user.id, question, files,
+ 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
+ complete_response = rag_response[5:].strip()
+ else:
+ # 鍚﹀垯锛屼繚鎸佸師鏍�
+ complete_response = rag_response
+ try:
+ data = json.loads(complete_response)
+ if data.get("event") == "agent_message": # "event": "message_end"
+ if "answer" not in data or not data["answer"]: # 淇℃伅杩囨护
+ logger.error("闈炴硶鏁版嵁--------------------")
+ # logger.error(data)
+
+ continue
+ else: # 姝ｅ父杈撳嚭
+ answer = data.get("answer", "")
+ if isinstance(answer, str):
+ if "![](https://res.stepfun.com/" in answer and image_list:
+ is_image = True
+ pattern = r'!\[\] *\(https://res\.stepfun\.com/image_gen/[^)]+\)'
+ url_image = image_list.pop()
+ new_answer = re.sub(pattern, url_image, answer)
+ answer_str += new_answer
+ else:
+ answer_str += answer
+
+ elif isinstance(answer, dict):
+ logger.error("鏈煡鏁版嵁浣擄細0---------------------------------")
+ logger.error(answer)
+ answer_str += answer.get("action_input", "")
+
+ result = {"message": answer_str, "type": "message"}
+ elif data.get("event") == "message_end":
+ images_url = []
+ if image_list and not is_image:
+ answer_str += image_list[-1]
+ result = {"message": answer_str,
+ "type": "close"} # , "message_files": images_url
+ try:
+ SessionService(db).update_session(chat_id,
+ message={"role": "assistant",
+ "content": {"answer": answer_str,
+ "images": images_url}},
+ conversation_id=data.get(
+ "conversation_id"))
+ except Exception as e:
+ logger.error("淇濆瓨dify鐨勪細璇濆紓甯革紒")
+ logger.error(e)
+ elif data.get("event") == "message_file":
+ await dify_service.save_images(data.get("url"), data.get("id") + ".png")
+ image_list.append(f"})")
+ # result = {"message": answer_str, "type": "message"}
+ continue
+ else:
+ continue
+ await websocket.send_json(result)
+ complete_response = ""
+ except json.JSONDecodeError as e:
+ print(f"Error decoding JSON: {e}")
+ # print(f"Response text: {text}")
+ except Exception as e2:
+ 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 agent.type == "reportWorkflow":
+
+ 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}")
+ upload_files = receive_message.get('upload_files', [])
+ title = receive_message.get('title', "")
+ sub_titles = receive_message.get('sub_titles', "")
+ workflow_type = receive_message.get('workflow', 1)
+ title_number = receive_message.get('title_number', 8)
+ title_style = receive_message.get('title_style', "")
+ title_query = receive_message.get('title_query', "")
+ is_clean = receive_message.get('is_clean', 0)
+ file_type = receive_message.get('file_type', 1)
+ max_token = receive_message.get('max_tokens', 100000)
+ tokens = receive_message.get('tokens', 0)
+ if upload_files:
+ title_query = "start"
+ # if not upload_files:
+ # await websocket.send_json({"message": "Invalid request", "type": "error"})
+ # continue
+ try:
+ session = SessionService(db).create_session(
+ chat_id,
+ title if title else title_query,
+ agent_id,
+ AgentType.DIFY,
+ current_user.id,
+ {"role": "user", "content": title if title else title_query, "type": workflow_type, "is_clean":is_clean},
+ workflow_type
+ )
+ conversation_id = session.conversation_id
+ except Exception as e:
+ logger.error(e)
+ inputs = {
+ }
+ files = []
+ for file in upload_files:
+ if file_type == 1:
+ files.append({
+ "type": "document",
+ "transfer_method": "local_file",
+ "url": "",
+ "upload_file_id": file
+ })
+ else:
+ files.append({
+ "type": "document",
+ "transfer_method": "remote_url",
+ "url": file,
+ "upload_file_id": ""
+ })
+ inputs_list = []
+ is_next = 0
+ if workflow_type == 1:
+ inputs["input_files"] = files
+ inputs["Completion_of_main_indicators"] = title
+ inputs_list.append({"inputs": inputs, "token": token, "workflow_type": workflow_type})
+ elif workflow_type == 2:
+ inputs["file_list"] = files
+ inputs["Completion_of_main_indicators"] = title
+ inputs["sub_titles"] = sub_titles
+ token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_REPORT_TITLE)
+ if not token:
+ await websocket.send_json(
+ {"message": "Invalid token document_to_report", "type": "error"})
+ inputs_list.append({"inputs": inputs, "token": token, "workflow_type": workflow_type})
+ elif workflow_type == 3 and is_clean == 0 and tokens < max_token:
+ inputs["file_list"] = files
+ inputs["number_of_title"] = title_number
+ inputs["title_style"] = title_style
+ token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_TITLE)
+ if not token:
+ await websocket.send_json(
+ {"message": "Invalid token document_to_title", "type": "error"})
+ inputs_list.append({"inputs": inputs, "token": token, "workflow_type": workflow_type})
+ elif workflow_type == 3 and is_clean == 1 or tokens >= max_token:
+ inputs["input_files"] = files
+ inputs["Completion_of_main_indicators"] = title
+ inputs_list.append({"inputs": inputs, "token": token, "workflow_type": 1})
+ inputs1 = {}
+ inputs1["file_list"] = files
+ inputs1["number_of_title"] = title_number
+ inputs1["title_style"] = title_style
+ token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_TITLE)
+ if not token:
+ await websocket.send_json(
+ {"message": "Invalid token document_to_report", "type": "error"})
+ inputs_list.append({"inputs": inputs1, "token": token, "workflow_type": 3})
+
+ # print(inputs_list)
+ for idx, input in enumerate(inputs_list):
+ # print(input)
+ if idx < len(inputs_list)-1:
+ is_next = 1
+ else:
+ is_next = 0
+ i = input["inputs"]
+ if "file_list" in i:
+ i["file_list"] = files
+ # print(i)
+ node_list = []
+ complete_response = ""
+ workflow_list = []
+ workflow_dict = {}
+ if input["workflow_type"] == 1 or input["workflow_type"] == 2:
+ async for rag_response in dify_service.workflow(input["token"], current_user.id, i):
+ # 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
+ complete_response = rag_response[5:].strip()
+ elif "event: ping" in rag_response:
+ continue
+ else:
+ # 鍚﹀垯锛屼繚鎸佸師鏍�
+ complete_response += rag_response
+ try:
+ data = json.loads(complete_response)
+ # print(data)
+ node_list.append(data)
+ complete_response = ""
+ if data.get("event") == "node_started": # "event": "message_end"
+
+ if "data" not in data or not data["data"]: # 淇℃伅杩囨护
+ logger.error("闈炴硶鏁版嵁--------------------")
+ logger.error(data)
+ continue
+ else: # 姝ｅ父杈撳嚭
+ answer = data.get("data", "")
+ if isinstance(answer, str):
+ logger.error("----------------鏈煡鏁版嵁--------------------")
+ logger.error(data)
+ continue
+ elif isinstance(answer, dict):
+
+ message = answer.get("title", "")
+
+ result = {"message": message, "type": "system"}
+ elif data.get("event") == "node_finished":
+ workflow_list.append({
+ "title": data.get("data", {}).get("title", ""),
+ "status": data.get("data", {}).get("status", ""),
+ "created_at":data.get("data", {}).get("created_at", 0),
+ "finished_at":data.get("data", {}).get("finished_at", 0),
+ "node_type":data.get("data", {}).get("node_type", 0),
+ "elapsed_time":data.get("data", {}).get("elapsed_time", 0),
+ "error":data.get("data", {}).get("error", ""),
+ })
+ elif data.get("event") == "workflow_finished":
+ answer = data.get("data", "")
+ if isinstance(answer, str):
+ logger.error("----------------鏈煡鏁版嵁--------------------")
+ logger.error(data)
+ result = {"message": "", "type": "close", "download_url": "", "is_next": is_next}
+ elif isinstance(answer, dict):
+ download_url = ""
+ outputs = answer.get("outputs", {})
+ if outputs:
+ message = outputs.get("output", "")
+ download_url = outputs.get("download_url", "")
+ else:
+ message = answer.get("error", "")
+ if download_url:
+ files = [{
+ "type": "document",
+ "transfer_method": "remote_url",
+ "url": download_url,
+ "upload_file_id": ""
+ }]
+ workflow_dict = {
+ "node_data": workflow_list,
+ "total_tokens": answer.get("total_tokens", 0),
+ "created_at": answer.get("created_at", 0),
+ "finished_at": answer.get("finished_at", 0),
+ "status": answer.get("status", ""),
+ "error": answer.get("error", ""),
+ "elapsed_time": answer.get("elapsed_time", 0)
+ }
+ result = {"message": message, "type": "message", "download_url": download_url}
+ try:
+ SessionService(db).update_session(chat_id,
+ message={"role": "assistant",
+ "content": {
+ "answer": message,
+ "node_list": node_list,
+ "download_url": download_url}},
+ conversation_id=data.get(
+ "conversation_id"))
+ node_list = []
+ except Exception as e:
+ logger.error("淇濆瓨dify鐨勪細璇濆紓甯革紒")
+ logger.error(e)
+ try:
+ await websocket.send_json(result)
+ except Exception as e:
+ logger.error(e)
+ logger.error("杩斿洖瀹㈡埛绔秷鎭紓甯�!")
+
+ result = {"message": "", "type": "close", "workflow": workflow_dict, "is_next": is_next}
+
+
+ else:
+ continue
+ try:
+ await websocket.send_json(result)
+ except Exception as e:
+ logger.error(e)
+ logger.error("杩斿洖瀹㈡埛绔秷鎭紓甯�!")
+ complete_response = ""
+ except json.JSONDecodeError as e:
+ print(f"Error decoding JSON: {e}")
+ # print(f"Response text: {text}")
+ except Exception as e2:
+ 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 input["workflow_type"] == 3:
+ image_list = []
+ # print(inputs)
+ complete_response = ""
+ answer_str = ""
+ async for rag_response in dify_service.chat(input["token"], current_user.id, title_query, [],
+ conversation_id, i):
+ # 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
+ complete_response = rag_response[5:].strip()
+ elif "event: ping" in rag_response:
+ continue
+ else:
+ # 鍚﹀垯锛屼繚鎸佸師鏍�
+ complete_response += rag_response
+ try:
+ data = json.loads(complete_response)
+ node_list.append(data)
+ # print(data)
+ complete_response = ""
+ if data.get("event") == "node_started": # "event": "message_end"
+ if "data" not in data or not data["data"]: # 淇℃伅杩囨护
+ logger.error("闈炴硶鏁版嵁--------------------")
+ logger.error(data)
+ continue
+ else: # 姝ｅ父杈撳嚭
+ answer = data.get("data", "")
+ if isinstance(answer, str):
+ logger.error("----------------鏈煡鏁版嵁--------------------")
+ logger.error(data)
+ continue
+ elif isinstance(answer, dict):
+
+ message = answer.get("title", "")
+
+ result = {"message": message, "type": "system"}
+ elif data.get("event") == "node_finished":
+ workflow_list.append({
+ "title": data.get("data", {}).get("title", ""),
+ "status": data.get("data", {}).get("status", ""),
+ "created_at":data.get("data", {}).get("created_at", 0),
+ "finished_at":data.get("data", {}).get("finished_at", 0),
+ "node_type":data.get("data", {}).get("node_type", 0),
+ "elapsed_time":data.get("data", {}).get("elapsed_time", 0),
+ "error":data.get("data", {}).get("error", ""),
+ })
+ elif data.get("event") == "message":
+ answer_str = data.get("answer", "")
+ # try:
+ # msg_dict = json.loads(answer)
+ # message = msg_dict.get("output", "")
+ # except Exception as e:
+ # print(e)
+ # continue
+ result = {"message": answer_str, "type": "message",
+ "download_url": ""}
+
+ # try:
+ # await websocket.send_json(result)
+ # except Exception as e:
+ # logger.error(e)
+ # logger.error("杩斿洖瀹㈡埛绔秷鎭紓甯�!")
+ elif data.get("event") == "workflow_finished":
+ workflow_dict = {
+ "node_data": workflow_list,
+ "total_tokens": data.get("data", {}).get("total_tokens", 0),
+ "created_at": data.get("data", {}).get("created_at", 0),
+ "finished_at": data.get("data", {}).get("finished_at", 0),
+ "status": data.get("data", {}).get("status", ""),
+ "error": data.get("data", {}).get("error", ""),
+ "elapsed_time": data.get("data", {}).get("elapsed_time", 0)
+ }
+ try:
+ SessionService(db).update_session(chat_id,
+ message={"role": "assistant",
+ "content": {
+ "answer": answer_str,
+ "node_list": node_list,
+ "download_url": ""}},
+ conversation_id=data.get(
+ "conversation_id"))
+ node_list = []
+ except Exception as e:
+ logger.error("淇濆瓨dify鐨勪細璇濆紓甯革紒")
+ logger.error(e)
+ elif data.get("event") == "message_end":
+ result = {"message": "", "type": "close", "workflow": workflow_dict, "is_next": is_next}
+ else:
+ continue
+ try:
+ await websocket.send_json(result)
+ except Exception as e:
+ logger.error(e)
+ logger.error("dify杩斿洖瀹㈡埛绔秷鎭紓甯�!")
+ complete_response = ""
+ except json.JSONDecodeError as e:
+ print(f"Error decoding JSON: {e}")
+ # print(f"Response text: {text}")
+ except Exception as e2:
+ 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 agent.type == "documentIa":
+ token = DfTokenDao(db).get_token_by_id(DOCUMENT_IA_QUESTIONS)
+ # print(token)
+ if not token:
+ await websocket.send_json({"message": "Invalid token", "type": "error"})
+
+ while True:
+ conversation_id = ""
+ # print(4343)
+ receive_message = await websocket.receive_json()
+ print(f"Received from client {chat_id}: {receive_message}")
+ upload_file_id = receive_message.get('upload_file_id', [])
+ question = receive_message.get('message', "")
+ if not question and not image_url:
+ await websocket.send_json({"message": "Invalid request", "type": "error"})
+ continue
+ try:
+ session = SessionService(db).create_session(
+ chat_id,
+ question,
+ agent_id,
+ AgentType.DIFY,
+ current_user.id
+ )
+ conversation_id = session.conversation_id
+ except Exception as e:
+ logger.error(e)
+ # complete_response = ""
+ files = []
+ for fileId in upload_file_id:
+ files.append({
+ "type": "document",
+ "transfer_method": "local_file",
+ "url": "",
+ "upload_file_id": fileId
+ })
+
+ answer_str = ""
+ complete_response = ""
+ async for rag_response in dify_service.chat(token, current_user.id, question, files,
+ 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
+ complete_response = rag_response[5:].strip()
+ elif "event: ping" in rag_response:
+ continue
+ else:
+ # 鍚﹀垯锛屼繚鎸佸師鏍�
+ complete_response += rag_response
+ try:
+ data = json.loads(complete_response)
+ if data.get("event") == "node_started" or data.get(
+ "event") == "node_finished": # "event": "message_end"
+ if "data" not in data or not data["data"]: # 淇℃伅杩囨护
+ logger.error("闈炴硶鏁版嵁--------------------")
+ logger.error(data)
+ continue
+ else: # 姝ｅ父杈撳嚭
+ answer = data.get("data", "")
+ if isinstance(answer, str):
+ logger.error("----------------鏈煡鏁版嵁--------------------")
+ logger.error(data)
+ continue
+ elif isinstance(answer, dict):
+
+ message = answer.get("title", "")
+
+ result = {"message": message, "type": "system"}
+ continue
+ elif data.get("event") == "message": # "event": "message_end"
+ # 姝ｅ父杈撳嚭
+ answer = data.get("answer", "")
+ result = {"message": answer, "type": "stream"}
+ elif data.get("event") == "workflow_finished":
+ answer = data.get("data", "")
+ if isinstance(answer, str):
+ logger.error("----------------鏈煡鏁版嵁--------------------")
+ logger.error(data)
+ result = {"message": "", "type": "close", "download_url": ""}
+ elif isinstance(answer, dict):
+ download_url = ""
+ outputs = answer.get("outputs", {})
+ if outputs:
+ message = outputs.get("answer", "")
+ # download_url = outputs.get("download_url", "")
+ else:
+ message = answer.get("error", "")
+
+ # result = {"message": message, "type": "message",
+ # "download_url": download_url}
+ try:
+ SessionService(db).update_session(chat_id,
+ message={"role": "assistant",
+ "content": {
+ "answer": message,
+ "download_url": download_url}},
+ conversation_id=data.get(
+ "conversation_id"))
+ except Exception as e:
+ logger.error("淇濆瓨dify鐨勪細璇濆紓甯革紒")
+ logger.error(e)
+ # await websocket.send_json(result)
+ continue
+ elif data.get("event") == "message_end":
+ result = {"message": "", "type": "close"}
+
+ else:
+ continue
+ try:
+ await websocket.send_json(result)
+ except Exception as e:
+ logger.error(e)
+ logger.error("杩斿洖瀹㈡埛绔秷鎭紓甯�!")
+ complete_response = ""
+ except json.JSONDecodeError as e:
+ print(f"Error decoding JSON: {e}")
+ # print(f"Response text: {text}")
+ except Exception as e2:
+ 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}")
+
+ # 鍚姩浠诲姟澶勭悊瀹㈡埛绔秷鎭�
+ tasks = [
+ asyncio.create_task(forward_to_dify())
+ ]
+ await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
+ except WebSocketDisconnect as e1:
+ print(f"Client {chat_id} disconnected: {e1}")
+ await websocket.close()
+ except Exception as e:
+ print(f"Exception occurred: {e}")
+
+ finally:
+ print("Cleaning up resources of ragflow")
+ # 鍙栨秷鎵�鏈変换鍔�
+ for task in tasks:
+ if not task.done():
+ task.cancel()
+ try:
+ await task
+ except asyncio.CancelledError:
+ pass
else:
ret = {"message": "Agent not found", "type": "close"}
await websocket.send_json(ret)
--
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