rag-gateway.git

			@@ -1,4 +1,5 @@
			import json
			import re
			import uuid

			from fastapi import WebSocket, WebSocketDisconnect, APIRouter, Depends
			@@ -9,9 +10,12 @@
			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 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
			@@ -32,13 +36,19 @@
			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:
			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
			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)
			@@ -46,7 +56,7 @@

			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 +142,7 @@
			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};"}

			@@ -224,7 +234,7 @@
			await websocket.send_json({"message": "Invalid request", "type": "error"})
			continue
			logger.error(agent.type)
			if agent.type == "questionTalk":
			if chat_type == "questionTalk":

			try:
			data = await service.questions_talk(question, chat_id)
			@@ -234,7 +244,7 @@
			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 +260,53 @@
			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"}

			# 发送结果给客户端
			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": "出现错误！", "type": "error"})
			@@ -290,92 +316,227 @@
			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:":
			# 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
			# complete_response += text
			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(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"]: # 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):
			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":
			message_files = []
			res_msg = await dify_service.get_session_history(token, data.get("conversation_id"), str(current_user.id))
			if len(res_msg) > 0:
			message_files = res_msg[0].get("message_files")

			result = {"message": answer_str, "type": "close", "message_files": message_files}
			try:
			SessionService(db).update_session(chat_id,
			message={"role": "assistant", "content": answer_str},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":

			url = data.get("url", "")
			result = {"message": url, "type": "image"}
			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:
			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}")
			# 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"![](/api/files/image/{data.get('id')})")
			# 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":

			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', "")
			workflow_type = receive_message.get('workflow', 1)
			if not upload_files:
			await websocket.send_json({"message": "Invalid request", "type": "error"})
			continue
			try:
			session = SessionService(db).create_session(
			chat_id,
			title,
			agent_id,
			AgentType.DIFY,
			current_user.id
			)
			conversation_id = session.conversation_id
			except Exception as e:
			logger.error(e)
			inputs = {
			}
			files = []
			for file in upload_files:
			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 = 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)
			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)
			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"}
			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("output", "")
			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)
			result = {"message": "", "type": "close", "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}")

			# 启动任务处理客户端消息
			tasks = [