From 0650b889a36d9b9fd42415b9b9819676f839ae9b Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期二, 08 四月 2025 09:54:09 +0800
Subject: [PATCH] 首页会话-模型修改
---
app/service/v2/chat.py | 407 +++++++++++++++++++++++++++++++++++++++++++++------------
1 files changed, 317 insertions(+), 90 deletions(-)
diff --git a/app/service/v2/chat.py b/app/service/v2/chat.py
index 05a37be..ec8b5a2 100644
--- a/app/service/v2/chat.py
+++ b/app/service/v2/chat.py
@@ -1,17 +1,21 @@
import asyncio
+import datetime
import io
import json
+import time
import uuid
import fitz
from fastapi import HTTPException
+from sqlalchemy import or_
from Log import logger
from app.config.agent_base_url import RG_CHAT_DIALOG, DF_CHAT_AGENT, DF_CHAT_PARAMETERS, RG_CHAT_SESSIONS, \
- DF_CHAT_WORKFLOW, DF_UPLOAD_FILE, RG_ORIGINAL_URL
+ DF_CHAT_WORKFLOW, DF_UPLOAD_FILE, RG_ORIGINAL_URL, RG_CHAT_UPDATE_URL, DF_WORKFLOW_DRAFT, DF_WORKFLOW_PUBLISH
from app.config.config import settings
from app.config.const import *
-from app.models import DialogModel, ApiTokenModel, UserTokenModel, ComplexChatSessionDao, ChatDataRequest
+from app.models import DialogModel, ApiTokenModel, UserTokenModel, ComplexChatSessionDao, ChatDataRequest, \
+ ComplexChatDao, KnowledgeModel, UserModel, KnowledgeUserModel
from app.models.v2.session_model import ChatSessionDao, ChatData
from app.service.v2.app_driver.chat_agent import ChatAgent
from app.service.v2.app_driver.chat_data import ChatBaseApply
@@ -31,7 +35,7 @@
async def add_session_log(db, session_id: str, question: str, chat_id: str, user_id, event_type: str,
- conversation_id: str, agent_type):
+ conversation_id: str, agent_type, query: dict = None):
try:
session = await ChatSessionDao(db).update_or_insert_by_id(
session_id=session_id,
@@ -39,7 +43,7 @@
agent_id=chat_id,
agent_type=agent_type,
tenant_id=user_id,
- message={"role": "user", "content": question},
+ message={"role": "user", "content": question, "query": query},
conversation_id=conversation_id,
event_type=event_type
)
@@ -61,6 +65,10 @@
if app_token:
return app_token.token
return ""
+
+async def get_workflow_token(db):
+ user_token = db.query(UserTokenModel).filter(UserTokenModel.id == workflow_server).first()
+ return user_token.access_token if user_token else ""
async def add_chat_token(db, data):
@@ -85,17 +93,49 @@
return ChatAgent(), url
-async def service_chat_dialog(db, chat_id: str, question: str, session_id: str, user_id, mode: str):
+async def get_user_kb(db, user_id: int, kb_ids: list) -> list:
+ res = []
+ user = db.query(UserModel).filter(UserModel.id == user_id).first()
+ if user is None:
+ return res
+ query = db.query(KnowledgeModel)
+ if user.permission != "admin":
+ klg_list = [j.id for i in user.groups for j in i.knowledges]
+ for i in db.query(KnowledgeUserModel).filter(KnowledgeUserModel.user_id == user_id,
+ KnowledgeUserModel.status == 1).all():
+ if i.kb_id not in klg_list:
+ klg_list.append(i.kb_id)
+ query = query.filter(or_(KnowledgeModel.id.in_(klg_list), KnowledgeModel.tenant_id == str(user_id)))
+ kb_list = query.all()
+ for kb in kb_list:
+ if kb.id in kb_ids:
+ if kb.permission == "team":
+ res.append(kb.id)
+ elif kb.tenant_id == str(user_id):
+ res.append(kb.id)
+ return res
+ else:
+ return kb_ids
+
+
+async def service_chat_dialog(db, chat_id: str, question: str, session_id: str, user_id: int, mode: str, kb_ids: list):
conversation_id = ""
token = await get_chat_token(db, rg_api_token)
url = settings.fwr_base_url + RG_CHAT_DIALOG.format(chat_id)
+ kb_id = await get_user_kb(db, user_id, kb_ids)
+ if not kb_id:
+ yield "data: " + json.dumps({"message": smart_message_error,
+ "error": "\n**ERROR**: The agent has no knowledge base to work with!",
+ "status": http_400},
+ ensure_ascii=False) + "\n\n"
+ return
chat = ChatDialog()
- session = await add_session_log(db, session_id, question, chat_id, user_id, mode, session_id, 1)
+ session = await add_session_log(db, session_id, question, chat_id, user_id, mode, session_id, RG_TYPE)
if session:
conversation_id = session.conversation_id
message = {"role": "assistant", "answer": "", "reference": {}}
try:
- async for ans in chat.chat_completions(url, await chat.request_data(question, conversation_id),
+ async for ans in chat.chat_completions(url, await chat.complex_request_data(question, kb_id, conversation_id),
await chat.get_headers(token)):
data = {}
error = ""
@@ -173,7 +213,7 @@
else:
query = "start new conversation"
session = await add_session_log(db, session_id, query if query else "start new conversation", chat_id, user_id,
- mode, conversation_id, 3)
+ mode, conversation_id, DF_TYPE, chat_data.to_dict())
if session:
conversation_id = session.conversation_id
try:
@@ -252,7 +292,10 @@
async def service_chat_basic(db, chat_id: str, chat_data: ChatData, session_id: str, user_id, mode: str):
- ...
+ if chat_id == basic_report_talk:
+ complex_chat = await ComplexChatDao(db).get_complex_chat_by_mode(chat_data.report_mode)
+ if complex_chat:
+ ...
async def service_chat_parameters(db, chat_id, user_id):
@@ -285,7 +328,14 @@
async def service_chat_session_log(db, session_id):
session_log = await ChatSessionDao(db).get_session_by_id(session_id)
- return json.dumps(session_log.log_to_json() if session_log else {})
+ if not session_log:
+ return {}
+ log_info = session_log.log_to_json()
+ if session_log.event_type == complex_chat:
+ total, message_list = await ComplexChatSessionDao(db).get_session_list(session_id)
+ log_info["message"] = [message.log_to_json() for message in message_list[::-1]]
+
+ return json.dumps(log_info)
async def service_chat_upload(db, chat_id, file, user_id):
@@ -429,11 +479,15 @@
return records
-async def add_complex_log(db, message_id, chat_id, session_id, chat_mode, query, user_id, mode, agent_type, message_type, conversation_id="", node_data=None, query_data=None):
+async def add_complex_log(db, message_id, chat_id, session_id, chat_mode, query, user_id, mode, agent_type,
+ message_type, conversation_id="", node_data=None, query_data=None):
if not node_data:
node_data = []
if not query_data:
query_data = {}
+ # print(node_data)
+ # print("--------------------------------------------------------")
+ # print(query_data)
try:
complex_log = ComplexChatSessionDao(db)
if not conversation_id:
@@ -441,17 +495,17 @@
if session:
conversation_id = session.conversation_id
await complex_log.create_session(message_id,
- chat_id=chat_id,
- session_id=session_id,
- chat_mode=chat_mode,
- message_type=message_type,
- content=query,
- event_type=mode,
- tenant_id=user_id,
- conversation_id=conversation_id,
- node_data=json.dumps(node_data),
- query=json.dumps(query_data),
- agent_type=agent_type)
+ chat_id=chat_id,
+ session_id=session_id,
+ chat_mode=chat_mode,
+ message_type=message_type,
+ content=query,
+ event_type=mode,
+ tenant_id=user_id,
+ conversation_id=conversation_id,
+ node_data=json.dumps(node_data),
+ query=json.dumps(query_data),
+ agent_type=agent_type)
return conversation_id, True
except Exception as e:
@@ -459,88 +513,171 @@
return conversation_id, False
+async def add_query_files(db, message_id):
+ query = {}
+ complex_log = await ComplexChatSessionDao(db).get_session_by_id(message_id)
+ if complex_log:
+ query = json.loads(complex_log.query)
+ return query.get("files", [])
+
async def service_complex_chat(db, chat_id, mode, user_id, chat_request: ChatDataRequest):
answer_event = ""
answer_agent = ""
+ answer_dialog = ""
answer_workflow = ""
download_url = ""
message_id = ""
task_id = ""
error = ""
- files = []
node_list = []
- token = await get_chat_token(db, chat_id)
- chat, url = await get_chat_object(mode)
- conversation_id, message = await add_complex_log(db, str(uuid.uuid4()),chat_id, chat_request.sessionId, chat_request.chatMode, chat_request.query, user_id, mode, DF_TYPE, 1, query_data=chat_request.to_dict())
- if not message:
- yield "data: " + json.dumps({"message": smart_message_error,
- "error": "\n**ERROR**: 鍒涘缓浼氳瘽澶辫触锛�", "status": http_500},
- ensure_ascii=False) + "\n\n"
- return
+ reference = {}
+ conversation_id = ""
+ query_data = chat_request.to_dict()
+ new_message_id = str(uuid.uuid4())
inputs = {"is_deep": chat_request.isDeep}
- if chat_request.chatMode == complex_knowledge_chat:
- inputs["query_json"] = json.dumps({"query": chat_request.query, "dataset_ids": chat_request.knowledgeId})
+ files = chat_request.files
+ if chat_request.chatMode == complex_content_optimization_chat:
+ inputs["type"] = chat_request.optimizeType
+ elif chat_request.chatMode == complex_dialog_chat:
+ if not files and chat_request.parentId:
+ files = await add_query_files(db, chat_request.parentId)
+ if chat_request.chatMode != complex_content_optimization_chat:
+ await add_session_log(db, chat_request.sessionId, chat_request.query if chat_request.query else "鏈懡鍚嶄細璇�",
+ chat_id, user_id,
+ mode, "", DF_TYPE)
+ conversation_id, message = await add_complex_log(db, new_message_id, chat_id, chat_request.sessionId,
+ chat_request.chatMode, chat_request.query, user_id, mode,
+ DF_TYPE, 1, query_data=query_data)
+ if not message:
+ yield "data: " + json.dumps({"message": smart_message_error,
+ "error": "\n**ERROR**: 鍒涘缓浼氳瘽澶辫触锛�", "status": http_500},
+ ensure_ascii=False) + "\n\n"
+ return
+ query_data["parentId"] = new_message_id
try:
- async for ans in chat.chat_completions(url,
- await chat.complex_request_data(chat_request.query, conversation_id, str(user_id), files=chat_request.files, inputs=inputs),
- await chat.get_headers(token)):
- # print(ans)
- data = {}
- status = http_200
- conversation_id = ans.get("conversation_id")
- task_id = ans.get("task_id")
- if ans.get("event") == message_error:
- error = ans.get("message", "鍙傛暟寮傚父锛�")
- status = http_400
- event = smart_message_error
- elif ans.get("event") == message_agent:
- data = {"answer": ans.get("answer", ""), "id": ans.get("message_id", "")}
- answer_agent += ans.get("answer", "")
- message_id = ans.get("message_id", "")
- event = smart_message_stream
- elif ans.get("event") == message_event:
- data = {"answer": ans.get("answer", ""), "id": ans.get("message_id", "")}
- answer_event += ans.get("answer", "")
- message_id = ans.get("message_id", "")
- event = smart_message_stream
- elif ans.get("event") == message_file:
- data = {"url": ans.get("url", ""), "id": ans.get("id", ""),
- "type": ans.get("type", "")}
- files.append(data)
- event = smart_message_file
- elif ans.get("event") in [workflow_started, node_started, node_finished]:
- data = ans.get("data", {})
- data["inputs"] = await data_process(data.get("inputs", {}))
- data["outputs"] = await data_process(data.get("outputs", {}))
- data["files"] = await data_process(data.get("files", []))
- data["process_data"] = ""
- if data.get("status") == "failed":
- status = http_500
- error = data.get("error", "")
- node_list.append(ans)
- event = [smart_workflow_started, smart_node_started, smart_node_finished][
- [workflow_started, node_started, node_finished].index(ans.get("event"))]
- elif ans.get("event") == workflow_finished:
- data = ans.get("data", {})
- answer_workflow = data.get("outputs", {}).get("output", data.get("outputs", {}).get("answer"))
- download_url = data.get("outputs", {}).get("download_url")
- event = smart_workflow_finished
- if data.get("status") == "failed":
- status = http_500
- error = data.get("error", "")
- node_list.append(ans)
+ if chat_request.chatMode == complex_knowledge_chat or chat_request.chatMode == complex_knowledge_chat_deep:
+ if not conversation_id:
+ session = await service_chat_sessions(db, chat_id, chat_request.query)
+ # print(session)
+ if not session or session.get("code") != 0:
+ yield "data: " + json.dumps(
+ {"message": smart_message_error, "error": "\n**ERROR**: chat agent error", "status": http_500})
+ return
+ conversation_id = session.get("data", {}).get("id")
+ token = await get_chat_token(db, rg_api_token)
+ url = settings.fwr_base_url + RG_CHAT_DIALOG.format(chat_id)
+ chat = ChatDialog()
+ try:
+ async for ans in chat.chat_completions(url, await chat.complex_request_data(chat_request.query,
+ chat_request.knowledgeId,
+ conversation_id),
+ await chat.get_headers(token)):
+ data = {}
+ error = ""
+ status = http_200
+ if ans.get("code", None) == 102:
+ error = ans.get("message", "error锛�")
+ status = http_400
+ event = smart_message_error
+ else:
+ if isinstance(ans.get("data"), bool) and ans.get("data") is True:
+ event = smart_message_end
+ else:
+ data = ans.get("data", {})
+ # conversation_id = data.get("session_id", "")
+ if "session_id" in data:
+ del data["session_id"]
+ data["prompt"] = ""
+ if not message_id:
+ message_id = data.get("id", "")
+ answer_dialog = data.get("answer", "")
+ reference = data.get("reference", {})
+ event = smart_message_cover
+ message_str = "data: " + json.dumps(
+ {"event": event, "data": data, "error": error, "status": status, "message_id": message_id,
+ "parent_id": new_message_id,
+ "session_id": chat_request.sessionId},
+ ensure_ascii=False) + "\n\n"
+ for i in range(0, len(message_str), max_chunk_size):
+ chunk = message_str[i:i + max_chunk_size]
+ # print(chunk)
+ yield chunk # 鍙戦�佸垎鍧楁秷鎭�
+ except Exception as e:
- elif ans.get("event") == message_end:
- event = smart_message_end
- else:
- continue
+ logger.error(e)
+ try:
+ yield "data: " + json.dumps({"message": smart_message_error,
+ "error": "\n**ERROR**: " + str(e), "status": http_500},
+ ensure_ascii=False) + "\n\n"
+ except:
+ ...
+ else:
+ token = await get_chat_token(db, chat_id)
+ chat, url = await get_chat_object(mode)
+ async for ans in chat.chat_completions(url,
+ await chat.complex_request_data(chat_request.query, conversation_id,
+ str(user_id), files=files,
+ inputs=inputs),
+ await chat.get_headers(token)):
+ # print(ans)
+ data = {}
+ status = http_200
+ conversation_id = ans.get("conversation_id")
+ task_id = ans.get("task_id")
+ if ans.get("event") == message_error:
+ error = ans.get("message", "鍙傛暟寮傚父锛�")
+ status = http_400
+ event = smart_message_error
+ elif ans.get("event") == message_agent:
+ data = {"answer": ans.get("answer", ""), "id": ans.get("message_id", "")}
+ answer_agent += ans.get("answer", "")
+ message_id = ans.get("message_id", "")
+ event = smart_message_stream
+ elif ans.get("event") == message_event:
+ data = {"answer": ans.get("answer", ""), "id": ans.get("message_id", "")}
+ answer_event += ans.get("answer", "")
+ message_id = ans.get("message_id", "")
+ event = smart_message_stream
+ elif ans.get("event") == message_file:
+ data = {"url": ans.get("url", ""), "id": ans.get("id", ""),
+ "type": ans.get("type", "")}
+ files.append(data)
+ event = smart_message_file
+ elif ans.get("event") in [workflow_started, node_started, node_finished]:
+ data = ans.get("data", {})
+ data["inputs"] = await data_process(data.get("inputs", {}))
+ data["outputs"] = await data_process(data.get("outputs", {}))
+ data["files"] = await data_process(data.get("files", []))
+ data["process_data"] = ""
+ if data.get("status") == "failed":
+ status = http_500
+ error = data.get("error", "")
+ node_list.append(ans)
+ event = [smart_workflow_started, smart_node_started, smart_node_finished][
+ [workflow_started, node_started, node_finished].index(ans.get("event"))]
+ elif ans.get("event") == workflow_finished:
+ data = ans.get("data", {})
+ answer_workflow = data.get("outputs", {}).get("output", data.get("outputs", {}).get("answer"))
+ download_url = data.get("outputs", {}).get("download_url")
+ event = smart_workflow_finished
+ if data.get("status") == "failed":
+ status = http_500
+ error = data.get("error", "")
+ node_list.append(ans)
- yield "data: " + json.dumps(
- {"event": event, "data": data, "error": error, "status": status, "task_id": task_id, "message_id":message_id,
- "session_id": chat_request.sessionId},
- ensure_ascii=False) + "\n\n"
+ elif ans.get("event") == message_end:
+ event = smart_message_end
+ else:
+ continue
+
+ yield "data: " + json.dumps(
+ {"event": event, "data": data, "error": error, "status": status, "task_id": task_id,
+ "message_id": message_id,
+ "parent_id": new_message_id,
+ "session_id": chat_request.sessionId},
+ ensure_ascii=False) + "\n\n"
except Exception as e:
logger.error(e)
@@ -557,7 +694,11 @@
# "node_list": node_list, "task_id": task_id, "id": message_id,
# "error": error}, conversation_id)
if message_id:
- await add_complex_log(db, message_id, chat_id, chat_request.sessionId, chat_request.chatMode, answer_event or answer_agent or answer_workflow or error, user_id, mode, DF_TYPE, 2, conversation_id, node_data=node_list, query_data=chat_request.to_dict())
+ await add_complex_log(db, message_id, chat_id, chat_request.sessionId, chat_request.chatMode,
+ answer_event or answer_agent or answer_workflow or answer_dialog or error, user_id,
+ mode, DF_TYPE, 2, conversation_id, node_data=node_list or reference,
+ query_data=query_data)
+
async def service_complex_upload(db, chat_id, file, user_id):
files = []
@@ -581,6 +722,92 @@
logger.error(e)
return json.dumps(files) if files else ""
+
+async def service_complex_model(db, chat_type, model_type, model_name, model_provider):
+ if chat_type == 1 and model_type == 1:
+ return await set_dialog_model(db, complex_knowledge_chat, model_name)
+ elif chat_type == 1 and model_type == 2:
+ return await set_dialog_model(db, complex_knowledge_chat_deep, model_name, model_provider)
+ else:
+ if model_type == 1:
+ chats = [complex_dialog_chat, complex_network_chat, complex_mindmap_chat, complex_content_optimization_chat]
+ else:
+ chats = [complex_dialog_chat, complex_network_chat]
+ return await set_workflow_model(db,chats
+ , # , complex_network_chat, complex_mindmap_chat, complex_content_optimization_chat
+ model_type, model_name, model_provider)
+
+
+async def set_dialog_model(db, chat_mode, model_name, model_provider):
+ chat = await ComplexChatDao(db).get_complex_chat_by_mode(chat_mode)
+ if chat:
+ access_token = await get_chat_token(db, rg_api_token)
+ url = settings.fwr_base_url + RG_CHAT_UPDATE_URL.format(chat.id)
+ chat_base = ChatBaseApply()
+ payload = {
+ "name": chat.name,
+ "llm": {
+ "model_name": model_name
+ }
+ }
+ response = await chat_base.chat_put(url, payload, await chat_base.get_headers(access_token))
+ # print(response)
+ if not response:
+ return "鏈嶅姟寮傚父,淇敼澶辫触锛�"
+ await ComplexChatDao(db).update_complex_chat_by_id(chat.id, {"chat_model": model_name, "chat_model_ds": model_name, "chat_provider": model_provider, "update_date": datetime.datetime.now()})
+ return ""
+
+async def set_workflow_model(db, chat_modes, model_type, model_name, model_provider):
+ chat_base = ChatBaseApply()
+ token = await get_workflow_token(db)
+ for chat_mode in chat_modes:
+ chat = await ComplexChatDao(db).get_complex_chat_by_mode(chat_mode)
+ if chat:
+
+ get_draft_url = settings.dify_base_url + DF_WORKFLOW_DRAFT.format(chat.id)
+ draft_data = await chat_base.chat_get(get_draft_url, {}, await chat_base.get_headers(token))
+ if draft_data:
+ graph = draft_data.get("graph")
+ for node in graph.get("nodes"):
+ if node.get("data", {}).get("type") == "llm":
+ if model_type == 1 and "娣卞害鎼滅储" not in node.get("data", {}).get("title"):
+ node["data"]["model"]["name"] = model_name
+ node["data"]["model"]["provider"] = model_provider
+ elif model_type == 2 and "娣卞害鎼滅储" in node.get("data", {}).get("title"):
+ node["data"]["model"]["name"] = model_name
+ node["data"]["model"]["provider"] = model_provider
+
+ draft_data_query = {"conversation_variables": draft_data.get("conversation_variables"),
+ "environment_variables": draft_data.get("environment_variables"),
+ "hash": draft_data.get("hash"),
+ "features": draft_data.get("features"),
+ "graph": graph}
+ set_draft_data = await chat_base.chat_post(get_draft_url, draft_data_query, await chat_base.get_headers(token))
+ if set_draft_data and set_draft_data.get("result") == "success":
+ publish_url = settings.dify_base_url + DF_WORKFLOW_PUBLISH.format(chat.id)
+ publish_data = await chat_base.chat_post(publish_url, {}, await chat_base.get_headers(token))
+ if publish_data and publish_data.get("result") == "success":
+ update_kwargs = {"chat_provider": model_provider, "update_date": datetime.datetime.now()}
+ if model_type == 1:
+ update_kwargs["chat_model"] = model_name
+ else:
+ update_kwargs["chat_model_ds"] = model_name
+ await ComplexChatDao(db).update_complex_chat_by_id(chat.id, update_kwargs)
+
+
+async def service_get_complex_model(db):
+ res = {}
+ for complexs in await ComplexChatDao(db).aget_complex_chat():
+ if complexs.chat_mode == complex_knowledge_chat:
+ res["dialog"] = {"modelName": complexs.chat_model, "modelProvider": complexs.chat_provider}
+ elif complexs.chat_mode == complex_knowledge_chat_deep:
+ res["dialog_ds"] = {"modelName": complexs.chat_model_ds, "modelProvider": complexs.chat_provider}
+ else:
+ res["workflow"] = {"modelName": complexs.chat_model, "modelProvider": complexs.chat_provider}
+ res["workflow_ds"] = {"modelName": complexs.chat_model_ds, "modelProvider": complexs.chat_provider}
+
+ return json.dumps(res)
+
if __name__ == "__main__":
q = json.dumps({"query": "璁惧", "dataset_ids": ["fc68db52f43111efb94a0242ac120004"]})
top_k = 2
--
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