import json
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import re
|
from copy import deepcopy
|
|
from fastapi import WebSocket, WebSocketDisconnect, APIRouter, Depends
|
import asyncio
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import websockets
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from sqlalchemy.orm import Session
|
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from Log import logger
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from app.api import get_current_user_websocket
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from app.config.config import settings
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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
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from app.models import MenuCapacityModel
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from app.models.agent_model import AgentModel, AgentType
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from app.models.base_model import get_db
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from app.models.user_model import UserModel
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from app.service.v2.api_token import DfTokenDao
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from app.service.dialog import update_session_history
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from app.service.basic import BasicService
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from app.service.difyService import DifyService
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from app.service.ragflow import RagflowService
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from app.service.service_token import get_bisheng_token, get_ragflow_token
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from app.service.session import SessionService
|
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router = APIRouter()
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|
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# 中间层WebSocket 服务器，接收客户端的连接
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@router.websocket("/ws/{agent_id}/{chat_id}")
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async def handle_client(websocket: WebSocket,
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agent_id: str,
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chat_id: str,
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current_user: UserModel = Depends(get_current_user_websocket),
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db: Session = Depends(get_db)):
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tasks = []
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await websocket.accept()
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print(f"Client {agent_id} connected")
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agent = db.query(MenuCapacityModel).filter(MenuCapacityModel.chat_id == agent_id).first()
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if not agent:
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agent = db.query(AgentModel).filter(AgentModel.id == agent_id).first()
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agent_type = agent.agent_type
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chat_type = agent.type
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else:
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agent_type = agent.capacity_type
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chat_type = agent.chat_type
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# print(agent_type)
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# print(chat_type)
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if not agent:
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ret = {"message": "Agent not found", "type": "close"}
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await websocket.send_json(ret)
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return
|
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if chat_id == "" or chat_id == "0":
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ret = {"message": "Chat ID not found", "type": "close"}
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await websocket.send_json(ret)
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return
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# print(agent_type)
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# print(chat_type)
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if agent_type == AgentType.RAGFLOW:
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ragflow_service = RagflowService(settings.fwr_base_url)
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token = await get_ragflow_token(db, current_user.id)
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try:
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async def forward_to_ragflow():
|
while True:
|
message = await websocket.receive_json()
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print(f"Received from client {chat_id}: {message}")
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chat_history = message.get('chatHistory', [])
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message["role"] = "user"
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if len(chat_history) == 0:
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chat_history = await ragflow_service.get_session_history(token, chat_id)
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if len(chat_history) == 0:
|
chat_history = await ragflow_service.set_session(token, agent_id,
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message, chat_id, True)
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# print("chat_history------------------------", chat_history)
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if len(chat_history) == 0:
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result = {"message": "内部错误：创建会话失败", "type": "close"}
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await websocket.send_json(result)
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await websocket.close()
|
return
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else:
|
chat_history.append({
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"content": message["message"],
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"doc_ids": message.get("doc_ids", []),
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"role": "user"
|
})
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complete_response = ""
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async for rag_response in ragflow_service.chat(token, chat_id, chat_history):
|
try:
|
if rag_response[:5] == "data:":
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# 如果是，则截取掉前5个字符，并去除首尾空白符
|
text = rag_response[5:].strip()
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else:
|
# 否则，保持原样
|
text = rag_response
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complete_response += text
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try:
|
json_data = json.loads(complete_response)
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data = json_data.get("data")
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if data is True: # 完成输出
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result = {"message": "", "type": "close"}
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elif data is None: # 发生错误
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answer = json_data.get("retmsg", json_data.get("retcode"))
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result = {"message": "内部错误：" + answer, "type": "message"}
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else: # 正常输出
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answer = data.get("answer", "")
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reference = data.get("reference", {})
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result = {"message": answer, "type": "message", "reference": reference}
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await websocket.send_json(result)
|
complete_response = ""
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except json.JSONDecodeError as e:
|
print(f"Error decoding JSON: {e}")
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# print(f"Response text: {text}")
|
except Exception as e2:
|
result = {"message": f"内部错误： {e2}", "type": "close"}
|
await websocket.send_json(result)
|
print(f"Error process message of ragflow: {e2}")
|
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("-----------------保存ragflow的历史会话异常-----------------")
|
|
# 启动任务处理客户端消息
|
tasks = [
|
asyncio.create_task(forward_to_ragflow())
|
]
|
await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
|
except WebSocketDisconnect as e1:
|
print(f"Client {chat_id} disconnected: {e1}")
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await websocket.close()
|
except Exception as e:
|
print(f"Exception occurred: {e}")
|
|
finally:
|
print("Cleaning up resources of ragflow")
|
# 取消所有任务
|
for task in tasks:
|
if not task.done():
|
task.cancel()
|
try:
|
await task
|
except asyncio.CancelledError:
|
pass
|
|
elif agent_type == AgentType.BISHENG:
|
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};"}
|
|
async with websockets.connect(service_uri, extra_headers=headers) as service_websocket:
|
|
try:
|
# 处理客户端发来的消息
|
async def forward_to_service():
|
while True:
|
message = await websocket.receive_json()
|
print(f"Received from client, {chat_id}: {message}")
|
# 添加 'agent_id' 和 'chat_id' 字段
|
message['flow_id'] = agent_id
|
message['chat_id'] = chat_id
|
msg = message["message"]
|
del message["message"]
|
message['inputs'] = {
|
"data": {"chatId": chat_id, "id": agent_id, "type": "assistant"},
|
"input": msg
|
}
|
await service_websocket.send(json.dumps(message))
|
print(f"Forwarded to bisheng: {message}")
|
|
# 监听毕昇发来的消息并转发给客户端
|
async def forward_to_client():
|
while True:
|
message = await service_websocket.recv()
|
print(f"Received from bisheng: {message}")
|
data = json.loads(message)
|
if data["type"] == "close" or data["type"] == "stream" or data["type"] == "end_cover":
|
if data["type"] == "close":
|
t = "close"
|
else:
|
t = "stream"
|
result = {"message": data["message"], "type": t}
|
await websocket.send_json(result)
|
print(f"Forwarded to client, {chat_id}: {result}")
|
|
# 启动两个任务，分别处理客户端和服务端的消息
|
tasks = [
|
asyncio.create_task(forward_to_service()),
|
asyncio.create_task(forward_to_client())
|
]
|
done, pending = await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
|
|
# 取消未完成的任务
|
for task in pending:
|
task.cancel()
|
try:
|
await task
|
except asyncio.CancelledError:
|
pass
|
|
except WebSocketDisconnect as e:
|
print(f"WebSocket connection closed with code {e.code}: {e.reason}")
|
await websocket.close()
|
await service_websocket.close()
|
except Exception as e:
|
print(f"Exception occurred: {e}")
|
|
finally:
|
print("Cleaning up resources of bisheng")
|
# 取消所有任务
|
for task in tasks:
|
if not task.done():
|
task.cancel()
|
try:
|
await task
|
except asyncio.CancelledError:
|
pass
|
elif agent_type == AgentType.BASIC:
|
try:
|
service = BasicService(base_url=settings.basic_base_url)
|
while True:
|
# 接收前端消息
|
message = await websocket.receive_json()
|
question = message.get("message")
|
try:
|
SessionService(db).create_session(
|
chat_id,
|
question,
|
agent_id,
|
AgentType.BASIC,
|
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 chat_type == "questionTalk":
|
|
try:
|
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:
|
SessionService(db).update_session(chat_id,
|
message={"role": "assistant", "content": result})
|
except Exception as e:
|
logger.error(e)
|
logger.error("-----------------返回数据--------------------")
|
await websocket.send_json(result)
|
except Exception as e2:
|
|
result = {"message": f"内部错误： {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"}
|
|
# 发送结果给客户端
|
# 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": "出现错误！", "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 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:
|
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:
|
if rag_response[:5] == "data:":
|
# 如果是，则截取掉前5个字符，并去除首尾空白符
|
complete_response = rag_response[5:].strip()
|
else:
|
# 否则，保持原样
|
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"]: # 信息过滤
|
logger.error("非法数据--------------------")
|
# logger.error(data)
|
|
continue
|
else: # 正常输出
|
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("未知数据体：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("保存dify的会话异常！")
|
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"内部错误： {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', [])
|
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:
|
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:":
|
# 如果是，则截取掉前5个字符，并去除首尾空白符
|
complete_response = rag_response[5:].strip()
|
elif "event: ping" in rag_response:
|
continue
|
else:
|
# 否则，保持原样
|
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"]: # 信息过滤
|
logger.error("非法数据--------------------")
|
logger.error(data)
|
continue
|
else: # 正常输出
|
answer = data.get("data", "")
|
if isinstance(answer, str):
|
logger.error("----------------未知数据--------------------")
|
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("----------------未知数据--------------------")
|
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("----------------未知数据--------------------")
|
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("保存dify的会话异常！")
|
logger.error(e)
|
try:
|
await websocket.send_json(result)
|
except Exception as e:
|
logger.error(e)
|
logger.error("返回客户端消息异常!")
|
|
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("返回客户端消息异常!")
|
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"内部错误： {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:":
|
# 如果是，则截取掉前5个字符，并去除首尾空白符
|
complete_response = rag_response[5:].strip()
|
elif "event: ping" in rag_response:
|
continue
|
else:
|
# 否则，保持原样
|
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"]: # 信息过滤
|
logger.error("非法数据--------------------")
|
logger.error(data)
|
continue
|
else: # 正常输出
|
answer = data.get("data", "")
|
if isinstance(answer, str):
|
logger.error("----------------未知数据--------------------")
|
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("----------------未知数据--------------------")
|
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("返回客户端消息异常!")
|
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("保存dify的会话异常！")
|
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返回客户端消息异常!")
|
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"内部错误： {e2}", "type": "close"}
|
await websocket.send_json(result)
|
print(f"Error process message of ragflow: {e2}")
|
elif chat_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,
|
{"role": "user", "content": question}
|
)
|
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:":
|
# 如果是，则截取掉前5个字符，并去除首尾空白符
|
complete_response = rag_response[5:].strip()
|
elif "event: ping" in rag_response:
|
continue
|
else:
|
# 否则，保持原样
|
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"]: # 信息过滤
|
logger.error("非法数据--------------------")
|
logger.error(data)
|
continue
|
else: # 正常输出
|
answer = data.get("data", "")
|
if isinstance(answer, str):
|
logger.error("----------------未知数据--------------------")
|
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"
|
# 正常输出
|
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("----------------未知数据--------------------")
|
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("保存dify的会话异常！")
|
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("返回客户端消息异常!")
|
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"内部错误： {e2}", "type": "close"}
|
await websocket.send_json(result)
|
print(f"Error process message of ragflow: {e2}")
|
|
# 启动任务处理客户端消息
|
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")
|
# 取消所有任务
|
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)
|
