From f21bffe8c2d6d58e15b416f93ed0edbe4078f38c Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期二, 25 二月 2025 15:41:12 +0800
Subject: [PATCH] 优化
---
app/api/chat.py | 830 +++++++++++++++++++++++++++++++++++++++++++++++++++-------
1 files changed, 727 insertions(+), 103 deletions(-)
diff --git a/app/api/chat.py b/app/api/chat.py
index 9f2ea44..16003e2 100644
--- a/app/api/chat.py
+++ b/app/api/chat.py
@@ -1,5 +1,6 @@
import json
-import uuid
+import re
+from copy import deepcopy
from fastapi import WebSocket, WebSocketDisconnect, APIRouter, Depends
import asyncio
@@ -9,9 +10,14 @@
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_IA_QUESTIONS, \
+ 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
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
@@ -32,21 +38,31 @@
tasks = []
await websocket.accept()
print(f"Client {agent_id} connected")
-
- agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first()
+ 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
+ else:
+ agent_type = agent.capacity_type
+ chat_type = agent.chat_type
+ # print(agent_type)
+ # print(chat_type)
if not agent:
ret = {"message": "Agent not found", "type": "close"}
await websocket.send_json(ret)
return
- agent_type = agent.agent_type
+
if chat_id == "" or chat_id == "0":
ret = {"message": "Chat ID not found", "type": "close"}
await websocket.send_json(ret)
return
-
+ # print(agent_type)
+ # print(chat_type)
if agent_type == AgentType.RAGFLOW:
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:
@@ -132,7 +148,7 @@
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};"}
@@ -216,15 +232,16 @@
question,
agent_id,
AgentType.BASIC,
- current_user.id
+ current_user.id,
+ {"role": "user", "content": question}
)
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":
+ # logger.error(agent.type)
+ if chat_type == "questionTalk":
try:
data = await service.questions_talk(question, chat_id)
@@ -234,7 +251,7 @@
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}
+ result = {"message": output, "type": "message", "file_url": excel_url, "file_name": file_name}
try:
SessionService(db).update_session(chat_id,
message={"role": "assistant", "content": result})
@@ -250,37 +267,53 @@
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", "")
- excel_name = data.get("excel_name", "")
- image_name = data.get("image_name", "")
+ 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}")
- excel_url = build_file_url(excel_name, 'excel')
- image_url = build_file_url(image_name, 'image')
- if excel_url or data.get("e", ""):
- try:
- SessionService(db).update_session(chat_id,
- message={
- "content": output,
- "excel_url": excel_url,
- "image_url": image_url,
- "sql": data.get("sql", ""),
- "code": data.get("code", ""),
- "e": data.get("e", ""),
- "role": "assistant"})
- except Exception as e:
- logger.error(f"Unexpected error when update_session: {e}")
+
+ 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["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:
logger.error(e)
await websocket.send_json({"message": "鍑虹幇閿欒锛�", "type": "error"})
@@ -290,86 +323,677 @@
if agent_type == AgentType.DIFY:
dify_service = DifyService(settings.dify_base_url)
# token = get_dify_token(db, current_user.id)
- token = settings.dify_api_token
try:
async def forward_to_dify():
- while True:
- 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 = ""
- answer_str = ""
- async for rag_response in dify_service.chat(token, current_user.id, question, upload_file_id, conversation_id):
- # print("=============================================")
- # print(rag_response)
+ if chat_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:
- 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
- # complete_response += text
+ session = SessionService(db).create_session(
+ chat_id,
+ question,
+ agent_id,
+ AgentType.DIFY,
+ current_user.id,
+ {"role": "user", "content": question}
+ )
+ 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:
- data = json.loads(complete_response)
- complete_response = ""
- # data = json_data.get("data")
- 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):
- 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":
- result = {"message": answer_str, "type": "close"}
- try:
- SessionService(db).update_session(chat_id,
- message={"role": "assistant", "content": data, "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":
- url = data.get("url", "")
- result = {"message": url, "type": "image"}
+ 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:
- 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}")
+ # 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 chat_type == "reportWorkflow":
+
+ while True:
+ receive_message = await websocket.receive_json()
+ print(f"Received from client {chat_id}: {receive_message}")
+ upload_files = receive_message.get('upload_files', [])
+ upload_filenames = receive_message.get('upload_filenames', [])
+ 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, "upload_filenames":upload_filenames},
+ 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:
+ 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"})
+ 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:
+ 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"})
+ 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_data = deepcopy(data)
+ if "data" in node_data:
+ if "outputs" in node_data["data"]:
+ node_data["data"]["outputs"] = {}
+ if "inputs" in node_data["data"]:
+ node_data["data"]["inputs"] = {}
+ # print(node_data)
+ node_list.append(node_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",
+ "workflow": {"node_data": workflow_list}}
+ 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", ""),
+ })
+ 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", "")
+ if answer.get("status") == "failed":
+ message = answer.get("error", "")
+ result = {"message": message, "type": "system",
+ "workflow": {"node_data": workflow_list}}
+
+ 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, "workflow": workflow_dict}
+ 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, "download_url": download_url}
+
+
+ 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_data = deepcopy(data)
+ if "data" in node_data:
+ if "outputs" in node_data["data"]:
+ node_data["data"]["outputs"] = {}
+ if "inputs" in node_data["data"]:
+ node_data["data"]["inputs"] = {}
+ # print(node_data)
+ node_list.append(node_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",
+ "workflow": {"node_data": workflow_list}}
+ 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", ""),
+ })
+
+ 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", "")
+ if answer.get("status") == "failed":
+ message = answer.get("error", "")
+ result = {"message": message, "type": "system",
+ "workflow": {"node_data": workflow_list}}
+ 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": "", "workflow": {"node_data": workflow_list}}
+
+ # 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 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)
+ node_list = []
+ workflow_list = []
+ workflow_dict = {}
+ 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', [])
+ upload_filenames = receive_message.get('upload_filenames', [])
+ 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,
+ {"role": "user", "content": question, "upload_filenames": upload_filenames}
+ )
+ 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)
+ node_data = deepcopy(data)
+ if "data" in node_data:
+ if "outputs" in node_data["data"]:
+ node_data["data"]["outputs"] = {}
+ if "inputs" in node_data["data"]:
+ node_data["data"]["inputs"] = {}
+ # print(node_data)
+ node_list.append(node_data)
+ if data.get("event") == "node_started":
+ 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):
+ if answer.get("status") == "failed":
+ message = answer.get("error", "")
+ else:
+ message = answer.get("title", "")
+
+ result = {"message": message, "type": "system", "workflow": {"node_data": workflow_list}}
+ 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", ""),
+ })
+ 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):
+ if answer.get("status") == "failed":
+ message = answer.get("error", "")
+ else:
+ message = answer.get("title", "")
+
+ result = {"message": message, "type": "system",
+ "workflow": {"node_data": workflow_list}}
+ elif data.get("event") == "message": # "event": "message_end"
+ # 姝ｅ父杈撳嚭
+ answer = data.get("answer", "")
+ result = {"message": answer, "type": "stream", "workflow": {"node_data": workflow_list}}
+ elif data.get("event") == "error": # "event": "message_end"
+ # 姝ｅ父杈撳嚭
+ answer = data.get("message", "")
+ result = {"message": answer, "type": "system", "workflow": {"node_data": workflow_list}}
+ 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,
+ "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)
+ # await websocket.send_json(result)
+ 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)
+ }
+ continue
+ elif data.get("event") == "message_end":
+ result = {"message": "", "type": "close","workflow": workflow_dict}
+
+ 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 = [
--
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