c31fd02daf
将同步数据库操作全面迁移为异步模式，主要涉及： - 将 `with get_db_session()` 改为 `async with get_db_session()` - 修复相关异步调用链，确保 await 正确传递 - 优化消息管理器、上下文管理器等核心组件的异步处理 - 移除同步的 person_id 获取方法，避免协程对象传递问题 修复 deepcopy 在 StreamContext 中的序列化问题，跳过不可序列化的 asyncio.Task 对象 删除无用的测试文件和废弃的插件清单文件
305 lines
13 KiB
Python
305 lines
13 KiB
Python
import re
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import json
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import traceback
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from typing import Union
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import orjson
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from sqlalchemy import select, desc, update
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from src.common.database.sqlalchemy_models import Messages, Images, get_db_session
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from src.common.logger import get_logger
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from .chat_stream import ChatStream
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from .message import MessageSending, MessageRecv
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logger = get_logger("message_storage")
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class MessageStorage:
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@staticmethod
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def _serialize_keywords(keywords) -> str:
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"""将关键词列表序列化为JSON字符串"""
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if isinstance(keywords, list):
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return orjson.dumps(keywords).decode("utf-8")
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return "[]"
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@staticmethod
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def _deserialize_keywords(keywords_str: str) -> list:
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"""将JSON字符串反序列化为关键词列表"""
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if not keywords_str:
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return []
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try:
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return orjson.loads(keywords_str)
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except (orjson.JSONDecodeError, TypeError):
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return []
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@staticmethod
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async def store_message(message: Union[MessageSending, MessageRecv], chat_stream: ChatStream) -> None:
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"""存储消息到数据库"""
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try:
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# 过滤敏感信息的正则模式
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pattern = r"<MainRule>.*?</MainRule>|<schedule>.*?</schedule>|<UserMessage>.*?</UserMessage>"
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processed_plain_text = message.processed_plain_text
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if processed_plain_text:
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processed_plain_text = await MessageStorage.replace_image_descriptions(processed_plain_text)
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filtered_processed_plain_text = re.sub(pattern, "", processed_plain_text, flags=re.DOTALL)
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else:
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filtered_processed_plain_text = ""
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if isinstance(message, MessageSending):
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display_message = message.display_message
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if display_message:
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filtered_display_message = re.sub(pattern, "", display_message, flags=re.DOTALL)
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else:
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# 如果没有设置display_message，使用processed_plain_text作为显示消息
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filtered_display_message = re.sub(pattern, "", message.processed_plain_text, flags=re.DOTALL) if message.processed_plain_text else ""
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interest_value = 0
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is_mentioned = False
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reply_to = message.reply_to
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priority_mode = ""
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priority_info = {}
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is_emoji = False
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is_picid = False
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is_notify = False
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is_command = False
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key_words = ""
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key_words_lite = ""
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else:
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filtered_display_message = ""
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interest_value = message.interest_value
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is_mentioned = message.is_mentioned
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reply_to = ""
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priority_mode = message.priority_mode
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priority_info = message.priority_info
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is_emoji = message.is_emoji
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is_picid = message.is_picid
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is_notify = message.is_notify
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is_command = message.is_command
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# 序列化关键词列表为JSON字符串
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key_words = MessageStorage._serialize_keywords(message.key_words)
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key_words_lite = MessageStorage._serialize_keywords(message.key_words_lite)
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chat_info_dict = chat_stream.to_dict()
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user_info_dict = message.message_info.user_info.to_dict() # type: ignore
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# message_id 现在是 TextField，直接使用字符串值
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msg_id = message.message_info.message_id
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# 安全地获取 group_info, 如果为 None 则视为空字典
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group_info_from_chat = chat_info_dict.get("group_info") or {}
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# 安全地获取 user_info, 如果为 None 则视为空字典 (以防万一)
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user_info_from_chat = chat_info_dict.get("user_info") or {}
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# 将priority_info字典序列化为JSON字符串，以便存储到数据库的Text字段
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priority_info_json = orjson.dumps(priority_info).decode("utf-8") if priority_info else None
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# 获取数据库会话
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new_message = Messages(
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message_id=msg_id,
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time=float(message.message_info.time),
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chat_id=chat_stream.stream_id,
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reply_to=reply_to,
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is_mentioned=is_mentioned,
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chat_info_stream_id=chat_info_dict.get("stream_id"),
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chat_info_platform=chat_info_dict.get("platform"),
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chat_info_user_platform=user_info_from_chat.get("platform"),
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chat_info_user_id=user_info_from_chat.get("user_id"),
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chat_info_user_nickname=user_info_from_chat.get("user_nickname"),
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chat_info_user_cardname=user_info_from_chat.get("user_cardname"),
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chat_info_group_platform=group_info_from_chat.get("platform"),
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chat_info_group_id=group_info_from_chat.get("group_id"),
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chat_info_group_name=group_info_from_chat.get("group_name"),
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chat_info_create_time=float(chat_info_dict.get("create_time", 0.0)),
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chat_info_last_active_time=float(chat_info_dict.get("last_active_time", 0.0)),
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user_platform=user_info_dict.get("platform"),
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user_id=user_info_dict.get("user_id"),
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user_nickname=user_info_dict.get("user_nickname"),
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user_cardname=user_info_dict.get("user_cardname"),
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processed_plain_text=filtered_processed_plain_text,
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priority_mode=priority_mode,
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priority_info=priority_info_json,
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is_emoji=is_emoji,
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is_picid=is_picid,
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)
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async with get_db_session() as session:
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session.add(new_message)
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await session.commit()
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except Exception:
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logger.exception("存储消息失败")
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logger.error(f"消息：{message}")
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traceback.print_exc()
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@staticmethod
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async def update_message(message):
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"""更新消息ID"""
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try:
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mmc_message_id = message.message_info.message_id
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qq_message_id = None
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logger.debug(f"尝试更新消息ID: {mmc_message_id}, 消息段类型: {message.message_segment.type}")
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# 根据消息段类型提取message_id
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if message.message_segment.type == "notify":
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qq_message_id = message.message_segment.data.get("id")
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elif message.message_segment.type == "text":
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qq_message_id = message.message_segment.data.get("id")
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elif message.message_segment.type == "reply":
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qq_message_id = message.message_segment.data.get("id")
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logger.debug(f"从reply消息段获取到消息ID: {qq_message_id}")
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elif message.message_segment.type == "adapter_response":
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logger.debug("适配器响应消息，不需要更新ID")
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return
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elif message.message_segment.type == "adapter_command":
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logger.debug("适配器命令消息，不需要更新ID")
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return
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else:
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logger.debug(f"未知的消息段类型: {message.message_segment.type}，跳过ID更新")
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return
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if not qq_message_id:
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logger.debug(f"消息段类型 {message.message_segment.type} 中未找到有效的message_id，跳过更新")
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logger.debug(f"消息段数据: {message.message_segment.data}")
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return
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# 使用上下文管理器确保session正确管理
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from src.common.database.sqlalchemy_models import get_db_session
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async with get_db_session() as session:
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matched_message = (await session.execute(
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select(Messages).where(Messages.message_id == mmc_message_id).order_by(desc(Messages.time))
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)).scalar()
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if matched_message:
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await session.execute(
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update(Messages).where(Messages.id == matched_message.id).values(message_id=qq_message_id)
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)
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logger.debug(f"更新消息ID成功: {matched_message.message_id} -> {qq_message_id}")
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else:
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logger.warning(f"未找到匹配的消息记录: {mmc_message_id}")
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except Exception as e:
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logger.error(f"更新消息ID失败: {e}")
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logger.error(
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f"消息信息: message_id={getattr(message.message_info, 'message_id', 'N/A')}, "
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f"segment_type={getattr(message.message_segment, 'type', 'N/A')}"
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)
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@staticmethod
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async def replace_image_descriptions(text: str) -> str:
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"""将[图片：描述]替换为[picid:image_id]"""
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# 先检查文本中是否有图片标记
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pattern = r"\[图片：([^\]]+)\]"
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matches = list(re.finditer(pattern, text))
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if not matches:
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logger.debug("文本中没有图片标记，直接返回原文本")
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return text
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async def replace_match(match):
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description = match.group(1).strip()
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try:
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from src.common.database.sqlalchemy_models import get_db_session
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async with get_db_session() as session:
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image_record = (await session.execute(
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select(Images).where(Images.description == description).order_by(desc(Images.timestamp))
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)).scalar()
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return f"[picid:{image_record.image_id}]" if image_record else match.group(0)
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except Exception:
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return match.group(0)
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@staticmethod
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async def update_message_interest_value(message_id: str, interest_value: float) -> None:
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"""
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更新数据库中消息的interest_value字段
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Args:
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message_id: 消息ID
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interest_value: 兴趣度值
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"""
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try:
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async with get_db_session() as session:
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# 更新消息的interest_value字段
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stmt = update(Messages).where(Messages.message_id == message_id).values(interest_value=interest_value)
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result = await session.execute(stmt)
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await session.commit()
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if result.rowcount > 0:
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logger.debug(f"成功更新消息 {message_id} 的interest_value为 {interest_value}")
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else:
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logger.warning(f"未找到消息 {message_id}，无法更新interest_value")
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except Exception as e:
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logger.error(f"更新消息 {message_id} 的interest_value失败: {e}")
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raise
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@staticmethod
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async def fix_zero_interest_values(chat_id: str, since_time: float) -> int:
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"""
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修复指定聊天中interest_value为0或null的历史消息记录
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Args:
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chat_id: 聊天ID
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since_time: 从指定时间开始修复（时间戳）
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Returns:
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修复的记录数量
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"""
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try:
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async with get_db_session() as session:
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from sqlalchemy import select, update
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from src.common.database.sqlalchemy_models import Messages
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# 查找需要修复的记录：interest_value为0、null或很小的值
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query = select(Messages).where(
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(Messages.chat_id == chat_id) &
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(Messages.time >= since_time) &
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(
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(Messages.interest_value == 0) |
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(Messages.interest_value.is_(None)) |
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(Messages.interest_value < 0.1)
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)
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).limit(50) # 限制每次修复的数量，避免性能问题
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result = await session.execute(query)
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messages_to_fix = result.scalars().all()
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fixed_count = 0
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for msg in messages_to_fix:
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# 为这些消息设置一个合理的默认兴趣度
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# 可以基于消息长度、内容或其他因素计算
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default_interest = 0.3 # 默认中等兴趣度
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# 如果消息内容较长，可能是重要消息，兴趣度稍高
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if hasattr(msg, 'processed_plain_text') and msg.processed_plain_text:
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text_length = len(msg.processed_plain_text)
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if text_length > 50: # 长消息
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default_interest = 0.4
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elif text_length > 20: # 中等长度消息
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default_interest = 0.35
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# 如果是被@的消息，兴趣度更高
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if getattr(msg, 'is_mentioned', False):
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default_interest = min(default_interest + 0.2, 0.8)
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# 执行更新
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update_stmt = update(Messages).where(
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Messages.message_id == msg.message_id
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).values(interest_value=default_interest)
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result = await session.execute(update_stmt)
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if result.rowcount > 0:
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fixed_count += 1
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logger.debug(f"修复消息 {msg.message_id} 的interest_value为 {default_interest}")
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await session.commit()
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logger.info(f"共修复了 {fixed_count} 条历史消息的interest_value值")
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return fixed_count
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except Exception as e:
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logger.error(f"修复历史消息interest_value失败: {e}")
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return 0
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