From 3a3c413bd6e6fb89d80f7a9487ba9fabbd12e8bb Mon Sep 17 00:00:00 2001
From: xuyonghao <898441624@qq.com>
Date: 星期二, 31 十二月 2024 11:16:49 +0800
Subject: [PATCH] 调度器删除文件
---
app/api/chat.py | 190 +++++++++++++++++++++++++++++++++++++++++++----
1 files changed, 173 insertions(+), 17 deletions(-)
diff --git a/app/api/chat.py b/app/api/chat.py
index 2cfbf20..a824acd 100644
--- a/app/api/chat.py
+++ b/app/api/chat.py
@@ -10,9 +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, DOCUMENT_IA_QUESTIONS
+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
@@ -33,13 +36,21 @@
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
+ # 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)
@@ -47,7 +58,7 @@
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:
@@ -133,7 +144,7 @@
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};"}
@@ -224,8 +235,8 @@
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)
@@ -309,8 +320,11 @@
# token = get_dify_token(db, current_user.id)
try:
async def forward_to_dify():
- if agent.type == "imageTalk":
- token = settings.dify_api_token
+ 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
@@ -334,9 +348,19 @@
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,
+ files = []
+ if upload_file_id:
+ files.append({
+ "type": "image",
+ "transfer_method": "local_file",
+ "url": "",
+ "upload_file_id": upload_file_id
+ })
+ 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
@@ -402,9 +426,11 @@
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 agent.type == "reportWorkflow":
- print(2323333232)
- token = settings.dify_workflow_clean
+ 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}")
@@ -426,21 +452,27 @@
except Exception as e:
logger.error(e)
inputs = {
- "input_files": []
}
+ files = []
for file in upload_files:
- inputs["input_files"].append({
+ 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 = settings.dify_workflow_report
+ 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)
+ # 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
@@ -515,6 +547,130 @@
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(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
+ )
+ 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)
+ 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):
+
+ message = answer.get("title", "")
+
+ result = {"message": message, "type": "system"}
+ continue
+ elif data.get("event") == "message": # "event": "message_end"
+ # 姝ｅ父杈撳嚭
+ 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("----------------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,
+ "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)
+ 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("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 = [
--
Gitblit v1.8.0