Soulter
842c3c8ea9
* stage * stage * refactor: using sqlchemy as ORM framework, switch to async-based sqlite operation - using sqlmodel as ORM(based on sqlchemy and pydantic) - add Persona, Preference, PlatformMessageHistory table * fix: conversation * fix: remove redundant explicit session.commit, and fix some type error * fix: conversation context issue * chore: remove comments * chore: remove exclude_content param
229 lines
8.7 KiB
Python
229 lines
8.7 KiB
Python
import traceback
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import json
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from .route import Route, Response, RouteContext
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from astrbot.core import logger
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from quart import request
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from astrbot.core.db import BaseDatabase
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from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
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class ConversationRoute(Route):
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def __init__(
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self,
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context: RouteContext,
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db_helper: BaseDatabase,
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core_lifecycle: AstrBotCoreLifecycle,
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) -> None:
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super().__init__(context)
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self.routes = {
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"/conversation/list": ("GET", self.list_conversations),
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"/conversation/detail": (
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"POST",
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self.get_conv_detail,
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),
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"/conversation/update": ("POST", self.upd_conv),
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"/conversation/delete": ("POST", self.del_conv),
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"/conversation/update_history": (
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"POST",
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self.update_history,
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),
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}
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self.db_helper = db_helper
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self.conv_mgr = core_lifecycle.conversation_manager
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self.core_lifecycle = core_lifecycle
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self.register_routes()
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async def list_conversations(self):
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"""获取对话列表，支持分页、排序和筛选"""
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try:
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# 获取分页参数
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page = request.args.get("page", 1, type=int)
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page_size = request.args.get("page_size", 20, type=int)
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# 获取筛选参数
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platforms = request.args.get("platforms", "")
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message_types = request.args.get("message_types", "")
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search_query = request.args.get("search", "")
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exclude_ids = request.args.get("exclude_ids", "")
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exclude_platforms = request.args.get("exclude_platforms", "")
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# 转换为列表
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platform_list = platforms.split(",") if platforms else []
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message_type_list = message_types.split(",") if message_types else []
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exclude_id_list = exclude_ids.split(",") if exclude_ids else []
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exclude_platform_list = (
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exclude_platforms.split(",") if exclude_platforms else []
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)
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if page < 1:
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page = 1
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if page_size < 1:
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page_size = 20
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if page_size > 100:
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page_size = 100
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try:
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(
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conversations,
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total_count,
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) = await self.conv_mgr.get_filtered_conversations(
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page=page,
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page_size=page_size,
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platforms=platform_list,
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message_types=message_type_list,
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search_query=search_query,
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exclude_ids=exclude_id_list,
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exclude_platforms=exclude_platform_list,
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)
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except Exception as e:
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logger.error(f"数据库查询出错: {str(e)}\n{traceback.format_exc()}")
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return Response().error(f"数据库查询出错: {str(e)}").__dict__
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# 计算总页数
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total_pages = (
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(total_count + page_size - 1) // page_size if total_count > 0 else 1
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)
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result = {
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"conversations": conversations,
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"pagination": {
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"page": page,
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"page_size": page_size,
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"total": total_count,
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"total_pages": total_pages,
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},
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}
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return Response().ok(result).__dict__
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except Exception as e:
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error_msg = f"获取对话列表失败: {str(e)}\n{traceback.format_exc()}"
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logger.error(error_msg)
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return Response().error(f"获取对话列表失败: {str(e)}").__dict__
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async def get_conv_detail(self):
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"""获取指定对话详情（通过POST请求）"""
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try:
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data = await request.get_json()
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user_id = data.get("user_id")
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cid = data.get("cid")
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if not user_id or not cid:
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return Response().error("缺少必要参数: user_id 和 cid").__dict__
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conversation = await self.conv_mgr.get_conversation(
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unified_msg_origin=user_id, conversation_id=cid
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)
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if not conversation:
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return Response().error("对话不存在").__dict__
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return (
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Response()
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.ok(
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{
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"user_id": user_id,
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"cid": cid,
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"title": conversation.title,
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"persona_id": conversation.persona_id,
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"history": conversation.history,
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"created_at": conversation.created_at,
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"updated_at": conversation.updated_at,
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}
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)
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.__dict__
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)
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except Exception as e:
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logger.error(f"获取对话详情失败: {str(e)}\n{traceback.format_exc()}")
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return Response().error(f"获取对话详情失败: {str(e)}").__dict__
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async def upd_conv(self):
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"""更新对话信息(标题和角色ID)"""
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try:
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data = await request.get_json()
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user_id = data.get("user_id")
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cid = data.get("cid")
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title = data.get("title")
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persona_id = data.get("persona_id", "")
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if not user_id or not cid:
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return Response().error("缺少必要参数: user_id 和 cid").__dict__
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conversation = await self.conv_mgr.get_conversation(
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unified_msg_origin=user_id, conversation_id=cid
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)
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if not conversation:
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return Response().error("对话不存在").__dict__
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if title is not None or persona_id is not None:
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await self.conv_mgr.update_conversation(
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unified_msg_origin=user_id,
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conversation_id=cid,
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title=title,
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persona_id=persona_id,
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)
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return Response().ok({"message": "对话信息更新成功"}).__dict__
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except Exception as e:
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logger.error(f"更新对话信息失败: {str(e)}\n{traceback.format_exc()}")
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return Response().error(f"更新对话信息失败: {str(e)}").__dict__
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async def del_conv(self):
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"""删除对话"""
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try:
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data = await request.get_json()
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user_id = data.get("user_id")
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cid = data.get("cid")
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if not user_id or not cid:
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return Response().error("缺少必要参数: user_id 和 cid").__dict__
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await self.core_lifecycle.conversation_manager.delete_conversation(
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unified_msg_origin=user_id, conversation_id=cid
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)
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return Response().ok({"message": "对话删除成功"}).__dict__
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except Exception as e:
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logger.error(f"删除对话失败: {str(e)}\n{traceback.format_exc()}")
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return Response().error(f"删除对话失败: {str(e)}").__dict__
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async def update_history(self):
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"""更新对话历史内容"""
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try:
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data = await request.get_json()
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user_id = data.get("user_id")
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cid = data.get("cid")
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history = data.get("history")
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if not user_id or not cid:
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return Response().error("缺少必要参数: user_id 和 cid").__dict__
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if history is None:
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return Response().error("缺少必要参数: history").__dict__
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# 历史记录必须是合法的 JSON 字符串
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try:
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if isinstance(history, list):
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history = json.dumps(history)
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else:
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# 验证是否为有效的 JSON 字符串
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json.loads(history)
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except json.JSONDecodeError:
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return (
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Response().error("history 必须是有效的 JSON 字符串或数组").__dict__
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)
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conversation = await self.conv_mgr.get_conversation(
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unified_msg_origin=user_id, conversation_id=cid
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)
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if not conversation:
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return Response().error("对话不存在").__dict__
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history = json.loads(history) if isinstance(history, str) else history
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await self.conv_mgr.update_conversation(
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unified_msg_origin=user_id, conversation_id=cid, history=history
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)
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return Response().ok({"message": "对话历史更新成功"}).__dict__
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except Exception as e:
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logger.error(f"更新对话历史失败: {str(e)}\n{traceback.format_exc()}")
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return Response().error(f"更新对话历史失败: {str(e)}").__dict__
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