Langchain-Chatchat/server/db/repository/chat_history_repository.py

76 lines
2.2 KiB
Python

from server.db.session import with_session
from server.db.models.chat_history_model import ChatHistoryModel
import re
import uuid
from typing import Dict, List
def _convert_query(query: str) -> str:
p = re.sub(r"\s+", "%", query)
return f"%{p}%"
@with_session
def add_chat_history_to_db(session, chat_type, query, response="", chat_history_id=None, metadata: Dict = {}):
"""
新增聊天记录
"""
if not chat_history_id:
chat_history_id = uuid.uuid4().hex
ch = ChatHistoryModel(id=chat_history_id, chat_type=chat_type, query=query, response=response,
metadata=metadata)
session.add(ch)
session.commit()
return ch.id
@with_session
def update_chat_history(session, chat_history_id, response: str = None, metadata: Dict = None):
"""
更新已有的聊天记录
"""
ch = get_chat_history_by_id(chat_history_id)
if ch is not None:
if response is not None:
ch.response = response
if isinstance(metadata, dict):
ch.meta_data = metadata
session.add(ch)
return ch.id
@with_session
def feedback_chat_history_to_db(session, chat_history_id, feedback_score, feedback_reason):
"""
反馈聊天记录
"""
ch = session.query(ChatHistoryModel).filter_by(id=chat_history_id).first()
if ch:
ch.feedback_score = feedback_score
ch.feedback_reason = feedback_reason
return ch.id
@with_session
def get_chat_history_by_id(session, chat_history_id) -> ChatHistoryModel:
"""
查询聊天记录
"""
ch = session.query(ChatHistoryModel).filter_by(id=chat_history_id).first()
return ch
@with_session
def filter_chat_history(session, query=None, response=None, score=None, reason=None) -> List[ChatHistoryModel]:
ch =session.query(ChatHistoryModel)
if query is not None:
ch = ch.filter(ChatHistoryModel.query.ilike(_convert_query(query)))
if response is not None:
ch = ch.filter(ChatHistoryModel.response.ilike(_convert_query(response)))
if score is not None:
ch = ch.filter_by(feedback_score=score)
if reason is not None:
ch = ch.filter(ChatHistoryModel.feedback_reason.ilike(_convert_query(reason)))
return ch