zhaoqingang
2025-01-07 b4acf278db581ce5e70b513407b70db2d9b29b23
app/api/chat.py
@@ -1,6 +1,7 @@
import json
import re
import uuid
from copy import deepcopy
from fastapi import WebSocket, WebSocketDisconnect, APIRouter, Depends
import asyncio
@@ -423,9 +424,7 @@
                                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}")
@@ -479,6 +478,10 @@
                        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})
@@ -501,6 +504,10 @@
                                    {"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})
@@ -544,7 +551,15 @@
                                        try:
                                            data = json.loads(complete_response)
                                            # print(data)
                                            node_list.append(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"
@@ -615,7 +630,7 @@
                                                                                              "conversation_id"))
                                                        node_list = []
                                                    except Exception as e:
                                                        logger.error("保存dify的会话异常!")
                                                        logger.error("保存dcd ify的会话异常!")
                                                        logger.error(e)
                                                    try:
                                                        await websocket.send_json(result)
@@ -623,7 +638,7 @@
                                                        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}
                                                    result = {"message": "", "type": "close", "workflow": workflow_dict, "is_next": is_next, "download_url": download_url}
                                            else:
@@ -634,6 +649,7 @@
                                                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}")
@@ -660,8 +676,14 @@
                                            complete_response += rag_response
                                        try:
                                            data = json.loads(complete_response)
                                            node_list.append(data)
                                            # 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