From 282a631b9ceee9a634ee1d93751a5254ed37ccef Mon Sep 17 00:00:00 2001
From: zhaoqingang <zhaoqg0118@163.com>
Date: 星期二, 18 三月 2025 10:10:48 +0800
Subject: [PATCH] 首页知识库对话-rg
---
app/service/v2/chat.py | 220 ++++++++++++++++++++++++++++++++++++++----------------
1 files changed, 154 insertions(+), 66 deletions(-)
diff --git a/app/service/v2/chat.py b/app/service/v2/chat.py
index 96672a3..3982bdc 100644
--- a/app/service/v2/chat.py
+++ b/app/service/v2/chat.py
@@ -6,6 +6,7 @@
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, \
@@ -13,7 +14,7 @@
from app.config.config import settings
from app.config.const import *
from app.models import DialogModel, ApiTokenModel, UserTokenModel, ComplexChatSessionDao, ChatDataRequest, \
- ComplexChatDao
+ ComplexChatDao, KnowledgeModel, UserModel
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
@@ -87,17 +88,45 @@
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]
+ 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, 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 = ""
@@ -451,6 +480,9 @@
node_data = []
if not query_data:
query_data = {}
+ # print(node_data)
+ # print("--------------------------------------------------------")
+ # print(query_data)
try:
complex_log = ComplexChatSessionDao(db)
if not conversation_id:
@@ -485,20 +517,20 @@
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 = ""
node_list = []
+ reference= {}
conversation_id = ""
query_data = chat_request.to_dict()
new_message_id = str(uuid.uuid4())
inputs = {"is_deep": chat_request.isDeep}
files = chat_request.files
- if chat_request.chatMode == complex_knowledge_chat:
- inputs["query_json"] = json.dumps({"query": chat_request.query, "dataset_ids": chat_request.knowledgeId})
- elif chat_request.chatMode == complex_content_optimization_chat:
+ 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:
@@ -512,69 +544,125 @@
"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:
- 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)
+ if chat_request.chatMode == complex_knowledge_chat:
+ 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,
- "parent_id": new_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)
@@ -591,7 +679,7 @@
# "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=query_data)
+ 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 = []
--
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