From 247038b7ee75997c1a9ae1a7472e5eb5023bc9e8 Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期三, 19 二月 2025 14:37:09 +0800
Subject: [PATCH] commit
---
app/api/chat.py | 505 +++++++++++++++++++++++++++++++++++++++++++------------
1 files changed, 394 insertions(+), 111 deletions(-)
diff --git a/app/api/chat.py b/app/api/chat.py
index a824acd..5ca3277 100644
--- a/app/api/chat.py
+++ b/app/api/chat.py
@@ -1,6 +1,6 @@
import json
import re
-import uuid
+from copy import deepcopy
from fastapi import WebSocket, WebSocketDisconnect, APIRouter, Depends
import asyncio
@@ -10,7 +10,8 @@
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
+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
from app.models import MenuCapacityModel
from app.models.agent_model import AgentModel, AgentType
from app.models.base_model import get_db
@@ -55,7 +56,8 @@
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 = await get_ragflow_token(db, current_user.id)
@@ -228,7 +230,8 @@
question,
agent_id,
AgentType.BASIC,
- current_user.id
+ current_user.id,
+ {"role": "user", "content": question}
)
except Exception as e:
logger.error(e)
@@ -342,14 +345,13 @@
question,
agent_id,
AgentType.DIFY,
- current_user.id
+ current_user.id,
+ {"role": "user", "content": question}
)
conversation_id = session.conversation_id
except Exception as e:
logger.error(e)
# complete_response = ""
-
- answer_str = ""
files = []
if upload_file_id:
files.append({
@@ -358,8 +360,9 @@
"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):
+ conversation_id, {}):
# print(rag_response)
try:
if rag_response[:5] == "data:":
@@ -428,25 +431,36 @@
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', [])
+ 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)
- if not upload_files:
- await websocket.send_json({"message": "Invalid request", "type": "error"})
- continue
+ 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,
+ title if title else title_query,
agent_id,
AgentType.DIFY,
- current_user.id
+ 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:
@@ -455,102 +469,353 @@
}
files = []
for file in upload_files:
- files.append({
- "type": "document",
- "transfer_method": "local_file",
- "url": "",
- "upload_file_id": file
- })
+ 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
- if workflow_type == 2:
- inputs["file_list"] = files
- inputs["Completion_of_main_indicators"] = title
- token = DfTokenDao(db).get_token_by_id(DOCUMENT_TO_REPORT)
+ 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"})
- complete_response = ""
- async for rag_response in dify_service.workflow(token, current_user.id, inputs):
- # 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)
- 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):
+ 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})
- 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("----------------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("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("淇濆瓨dify鐨勪細璇濆紓甯革紒")
- logger.error(e)
- await websocket.send_json(result)
- result = {"message": "", "type": "close", "download_url": ""}
-
-
- else:
- continue
+ # 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)
- 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 chat_type == "documentIa":
- # print(122112)
- token = DfTokenDao(db).get_token_by_id(DOCUMENT_IA_QUESTIONS)
+ 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":
+ token_dict = {
+ "documentIa": DOCUMENT_IA_QUESTIONS,
+ "documentIaDs": DOCUMENT_IA_QUESTIONS_DS,
+ }
+ token = DfTokenDao(db).get_token_by_id(token_dict[chat_type])
# print(token)
+ node_list = []
if not token:
await websocket.send_json({"message": "Invalid token", "type": "error"})
@@ -560,6 +825,7 @@
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"})
@@ -570,7 +836,8 @@
question,
agent_id,
AgentType.DIFY,
- current_user.id
+ current_user.id,
+ {"role": "user", "content": question, "upload_filenames": upload_filenames}
)
conversation_id = session.conversation_id
except Exception as e:
@@ -588,7 +855,7 @@
answer_str = ""
complete_response = ""
async for rag_response in dify_service.chat(token, current_user.id, question, files,
- conversation_id):
+ conversation_id, {}):
# print(rag_response)
try:
if rag_response[:5] == "data:":
@@ -601,6 +868,14 @@
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" or data.get(
"event") == "node_finished": # "event": "message_end"
if "data" not in data or not data["data"]: # 淇℃伅杩囨护
@@ -614,15 +889,21 @@
logger.error(data)
continue
elif isinstance(answer, dict):
+ if answer.get("status") == "failed":
+ message = answer.get("error", "")
+ else:
+ message = answer.get("title", "")
- message = answer.get("title", "")
-
- result = {"message": message, "type": "system"}
- continue
+ result = {"message": message, "type": "system"}
+ # continue
elif data.get("event") == "message": # "event": "message_end"
- # 姝ｅ父杈撳嚭
+ # 姝ｅ父杈撳嚭
answer = data.get("answer", "")
result = {"message": answer, "type": "stream"}
+ elif data.get("event") == "error": # "event": "message_end"
+ # 姝ｅ父杈撳嚭
+ answer = data.get("message", "")
+ result = {"message": answer, "type": "system"}
elif data.get("event") == "workflow_finished":
answer = data.get("data", "")
if isinstance(answer, str):
@@ -645,9 +926,11 @@
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)
--
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