Raven95676
378 lines
14 KiB
Python
378 lines
14 KiB
Python
import json
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import traceback
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from datetime import datetime
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from io import BytesIO
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from quart import request, send_file
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from astrbot.core import logger
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from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
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from astrbot.core.db import BaseDatabase
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from .route import Response, Route, RouteContext
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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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"/conversation/export": ("POST", self.export_conversations),
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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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page = max(page, 1)
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if page_size < 1:
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page_size = 20
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page_size = min(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: {e!s}\n{traceback.format_exc()}")
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return Response().error(f"数据库查询出错: {e!s}").__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: {e!s}\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: {e!s}").__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,
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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: {e!s}\n{traceback.format_exc()}")
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return Response().error(f"获取对话详情失败: {e!s}").__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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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,
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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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persona_id = data.get("persona_id", conversation.persona_id)
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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: {e!s}\n{traceback.format_exc()}")
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return Response().error(f"更新对话信息失败: {e!s}").__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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# 检查是否是批量删除
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if "conversations" in data:
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# 批量删除
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conversations = data.get("conversations", [])
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if not conversations:
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return (
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Response().error("批量删除时conversations参数不能为空").__dict__
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)
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deleted_count = 0
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failed_items = []
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for conv in conversations:
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user_id = conv.get("user_id")
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cid = conv.get("cid")
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if not user_id or not cid:
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failed_items.append(
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f"user_id:{user_id}, cid:{cid} - 缺少必要参数",
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)
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continue
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try:
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await self.core_lifecycle.conversation_manager.delete_conversation(
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unified_msg_origin=user_id,
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conversation_id=cid,
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)
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deleted_count += 1
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except Exception as e:
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failed_items.append(f"user_id:{user_id}, cid:{cid} - {e!s}")
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message = f"成功删除 {deleted_count} 个对话"
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if failed_items:
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message += f"，失败 {len(failed_items)} 个"
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return (
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Response()
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.ok(
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{
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"message": message,
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"deleted_count": deleted_count,
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"failed_count": len(failed_items),
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"failed_items": failed_items,
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},
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)
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.__dict__
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)
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# 单个删除
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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,
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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: {e!s}\n{traceback.format_exc()}")
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return Response().error(f"删除对话失败: {e!s}").__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,
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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,
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conversation_id=cid,
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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: {e!s}\n{traceback.format_exc()}")
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return Response().error(f"更新对话历史失败: {e!s}").__dict__
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async def export_conversations(self):
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"""批量导出对话为 JSONL 格式"""
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try:
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data = await request.get_json()
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conversations_to_export = data.get("conversations", [])
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if not conversations_to_export:
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return Response().error("导出列表不能为空").__dict__
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# 收集所有对话的内容
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jsonl_lines = []
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exported_count = 0
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failed_items = []
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for conv_info in conversations_to_export:
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user_id = conv_info.get("user_id")
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cid = conv_info.get("cid")
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if not user_id or not cid:
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failed_items.append(
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f"user_id:{user_id}, cid:{cid} - 缺少必要参数",
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)
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continue
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try:
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conversation = await self.conv_mgr.get_conversation(
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unified_msg_origin=user_id,
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conversation_id=cid,
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)
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if not conversation:
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failed_items.append(
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f"user_id:{user_id}, cid:{cid} - 对话不存在"
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)
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continue
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# 解析对话内容 (history is always a JSON string from _convert_conv_from_v2_to_v1)
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content = json.loads(conversation.history)
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# 创建导出记录
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export_record = {
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"cid": cid,
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"user_id": user_id,
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"platform_id": conversation.platform_id,
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"title": conversation.title,
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"persona_id": conversation.persona_id,
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"created_at": conversation.created_at,
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"updated_at": conversation.updated_at,
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"content": content,
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}
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# 将记录转换为 JSON 字符串并添加到 JSONL
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jsonl_lines.append(json.dumps(export_record, ensure_ascii=False))
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exported_count += 1
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except Exception as e:
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failed_items.append(f"user_id:{user_id}, cid:{cid} - {e!s}")
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logger.error(
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f"导出对话失败: user_id={user_id}, cid={cid}, error={e!s}"
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)
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if exported_count == 0:
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return Response().error("没有成功导出任何对话").__dict__
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# 创建 JSONL 内容
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jsonl_content = "\n".join(jsonl_lines)
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# 创建一个内存文件对象
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file_obj = BytesIO(jsonl_content.encode("utf-8"))
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file_obj.seek(0)
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# 生成文件名
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"astrbot_conversations_export_{timestamp}.jsonl"
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# 返回文件流
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return await send_file(
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file_obj,
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mimetype="application/jsonl",
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as_attachment=True,
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attachment_filename=filename,
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)
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except Exception as e:
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logger.error(f"批量导出对话失败: {e!s}\n{traceback.format_exc()}")
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return Response().error(f"批量导出对话失败: {e!s}").__dict__
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