767 lines
35 KiB
Python
767 lines
35 KiB
Python
import asyncio
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import hashlib
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import time
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import copy
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from typing import Dict, Optional, TYPE_CHECKING
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from rich.traceback import install
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from maim_message import GroupInfo, UserInfo
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from src.common.logger import get_logger
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from sqlalchemy import select
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from sqlalchemy.dialects.sqlite import insert as sqlite_insert
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from sqlalchemy.dialects.mysql import insert as mysql_insert
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from src.common.database.sqlalchemy_models import ChatStreams # 新增导入
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from src.common.database.sqlalchemy_database_api import get_db_session
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from src.config.config import global_config # 新增导入
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# 避免循环导入，使用TYPE_CHECKING进行类型提示
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if TYPE_CHECKING:
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from .message import MessageRecv
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install(extra_lines=3)
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logger = get_logger("chat_stream")
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class ChatStream:
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"""聊天流对象，存储一个完整的聊天上下文"""
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def __init__(
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self,
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stream_id: str,
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platform: str,
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user_info: UserInfo,
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group_info: Optional[GroupInfo] = None,
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data: Optional[dict] = None,
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):
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self.stream_id = stream_id
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self.platform = platform
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self.user_info = user_info
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self.group_info = group_info
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self.create_time = data.get("create_time", time.time()) if data else time.time()
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self.last_active_time = data.get("last_active_time", self.create_time) if data else self.create_time
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self.sleep_pressure = data.get("sleep_pressure", 0.0) if data else 0.0
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self.saved = False
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# 使用StreamContext替代ChatMessageContext
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from src.common.data_models.message_manager_data_model import StreamContext
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from src.plugin_system.base.component_types import ChatType, ChatMode
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self.stream_context: StreamContext = StreamContext(
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stream_id=stream_id, chat_type=ChatType.GROUP if group_info else ChatType.PRIVATE, chat_mode=ChatMode.NORMAL
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)
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# 基础参数
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self.base_interest_energy = 0.5 # 默认基础兴趣度
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self._focus_energy = 0.5 # 内部存储的focus_energy值
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self.no_reply_consecutive = 0
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# 自动加载历史消息
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self._load_history_messages()
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def to_dict(self) -> dict:
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"""转换为字典格式"""
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return {
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"stream_id": self.stream_id,
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"platform": self.platform,
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"user_info": self.user_info.to_dict() if self.user_info else None,
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"group_info": self.group_info.to_dict() if self.group_info else None,
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"create_time": self.create_time,
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"last_active_time": self.last_active_time,
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"sleep_pressure": self.sleep_pressure,
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"focus_energy": self.focus_energy,
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# 基础兴趣度
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"base_interest_energy": self.base_interest_energy,
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# 新增stream_context信息
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"stream_context_chat_type": self.stream_context.chat_type.value,
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"stream_context_chat_mode": self.stream_context.chat_mode.value,
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# 新增interruption_count信息
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"interruption_count": self.stream_context.interruption_count,
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}
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@classmethod
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def from_dict(cls, data: dict) -> "ChatStream":
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"""从字典创建实例"""
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user_info = UserInfo.from_dict(data.get("user_info", {})) if data.get("user_info") else None
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group_info = GroupInfo.from_dict(data.get("group_info", {})) if data.get("group_info") else None
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instance = cls(
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stream_id=data["stream_id"],
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platform=data["platform"],
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user_info=user_info, # type: ignore
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group_info=group_info,
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data=data,
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)
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# 恢复stream_context信息
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if "stream_context_chat_type" in data:
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from src.plugin_system.base.component_types import ChatType, ChatMode
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instance.stream_context.chat_type = ChatType(data["stream_context_chat_type"])
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if "stream_context_chat_mode" in data:
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from src.plugin_system.base.component_types import ChatType, ChatMode
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instance.stream_context.chat_mode = ChatMode(data["stream_context_chat_mode"])
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# 恢复interruption_count信息
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if "interruption_count" in data:
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instance.stream_context.interruption_count = data["interruption_count"]
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return instance
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def update_active_time(self):
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"""更新最后活跃时间"""
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self.last_active_time = time.time()
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self.saved = False
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def set_context(self, message: "MessageRecv"):
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"""设置聊天消息上下文"""
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# 将MessageRecv转换为DatabaseMessages并设置到stream_context
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from src.common.data_models.database_data_model import DatabaseMessages
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import json
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# 安全获取message_info中的数据
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message_info = getattr(message, "message_info", {})
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user_info = getattr(message_info, "user_info", {})
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group_info = getattr(message_info, "group_info", {})
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# 提取reply_to信息（从message_segment中查找reply类型的段）
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reply_to = None
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if hasattr(message, "message_segment") and message.message_segment:
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reply_to = self._extract_reply_from_segment(message.message_segment)
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# 完整的数据转移逻辑
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db_message = DatabaseMessages(
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# 基础消息信息
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message_id=getattr(message, "message_id", ""),
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time=getattr(message, "time", time.time()),
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chat_id=self._generate_chat_id(message_info),
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reply_to=reply_to,
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# 兴趣度相关
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interest_value=getattr(message, "interest_value", 0.0),
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# 关键词
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key_words=json.dumps(getattr(message, "key_words", []), ensure_ascii=False)
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if getattr(message, "key_words", None)
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else None,
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key_words_lite=json.dumps(getattr(message, "key_words_lite", []), ensure_ascii=False)
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if getattr(message, "key_words_lite", None)
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else None,
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# 消息状态标记
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is_mentioned=getattr(message, "is_mentioned", None),
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is_at=getattr(message, "is_at", False),
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is_emoji=getattr(message, "is_emoji", False),
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is_picid=getattr(message, "is_picid", False),
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is_voice=getattr(message, "is_voice", False),
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is_video=getattr(message, "is_video", False),
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is_command=getattr(message, "is_command", False),
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is_notify=getattr(message, "is_notify", False),
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# 消息内容
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processed_plain_text=getattr(message, "processed_plain_text", ""),
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display_message=getattr(message, "processed_plain_text", ""), # 默认使用processed_plain_text
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# 优先级信息
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priority_mode=getattr(message, "priority_mode", None),
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priority_info=json.dumps(getattr(message, "priority_info", None))
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if getattr(message, "priority_info", None)
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else None,
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# 额外配置
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additional_config=getattr(message_info, "additional_config", None),
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# 用户信息
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user_id=str(getattr(user_info, "user_id", "")),
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user_nickname=getattr(user_info, "user_nickname", ""),
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user_cardname=getattr(user_info, "user_cardname", None),
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user_platform=getattr(user_info, "platform", ""),
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# 群组信息
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chat_info_group_id=getattr(group_info, "group_id", None),
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chat_info_group_name=getattr(group_info, "group_name", None),
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chat_info_group_platform=getattr(group_info, "platform", None),
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# 聊天流信息
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chat_info_user_id=str(getattr(user_info, "user_id", "")),
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chat_info_user_nickname=getattr(user_info, "user_nickname", ""),
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chat_info_user_cardname=getattr(user_info, "user_cardname", None),
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chat_info_user_platform=getattr(user_info, "platform", ""),
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chat_info_stream_id=self.stream_id,
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chat_info_platform=self.platform,
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chat_info_create_time=self.create_time,
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chat_info_last_active_time=self.last_active_time,
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# 新增兴趣度系统字段 - 添加安全处理
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actions=self._safe_get_actions(message),
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should_reply=getattr(message, "should_reply", False),
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)
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self.stream_context.set_current_message(db_message)
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self.stream_context.priority_mode = getattr(message, "priority_mode", None)
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self.stream_context.priority_info = getattr(message, "priority_info", None)
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# 调试日志：记录数据转移情况
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logger.debug(f"消息数据转移完成 - message_id: {db_message.message_id}, "
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f"chat_id: {db_message.chat_id}, "
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f"is_mentioned: {db_message.is_mentioned}, "
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f"is_emoji: {db_message.is_emoji}, "
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f"is_picid: {db_message.is_picid}, "
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f"interest_value: {db_message.interest_value}")
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def _safe_get_actions(self, message: "MessageRecv") -> Optional[list]:
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"""安全获取消息的actions字段"""
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try:
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actions = getattr(message, "actions", None)
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if actions is None:
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return None
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# 如果是字符串，尝试解析为JSON
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if isinstance(actions, str):
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try:
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import json
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actions = json.loads(actions)
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except json.JSONDecodeError:
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logger.warning(f"无法解析actions JSON字符串: {actions}")
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return None
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# 确保返回列表类型
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if isinstance(actions, list):
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# 过滤掉空值和非字符串元素
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filtered_actions = [action for action in actions if action is not None and isinstance(action, str)]
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return filtered_actions if filtered_actions else None
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else:
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logger.warning(f"actions字段类型不支持: {type(actions)}")
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return None
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except Exception as e:
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logger.warning(f"获取actions字段失败: {e}")
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return None
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def _extract_reply_from_segment(self, segment) -> Optional[str]:
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"""从消息段中提取reply_to信息"""
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try:
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if hasattr(segment, "type") and segment.type == "seglist":
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# 递归搜索seglist中的reply段
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if hasattr(segment, "data") and segment.data:
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for seg in segment.data:
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reply_id = self._extract_reply_from_segment(seg)
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if reply_id:
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return reply_id
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elif hasattr(segment, "type") and segment.type == "reply":
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# 找到reply段，返回message_id
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return str(segment.data) if segment.data else None
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except Exception as e:
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logger.warning(f"提取reply_to信息失败: {e}")
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return None
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def _generate_chat_id(self, message_info) -> str:
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"""生成chat_id，基于群组或用户信息"""
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try:
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group_info = getattr(message_info, "group_info", None)
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user_info = getattr(message_info, "user_info", None)
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if group_info and hasattr(group_info, "group_id") and group_info.group_id:
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# 群聊：使用群组ID
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return f"{self.platform}_{group_info.group_id}"
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elif user_info and hasattr(user_info, "user_id") and user_info.user_id:
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# 私聊：使用用户ID
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return f"{self.platform}_{user_info.user_id}_private"
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else:
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# 默认：使用stream_id
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return self.stream_id
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except Exception as e:
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logger.warning(f"生成chat_id失败: {e}")
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return self.stream_id
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@property
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def focus_energy(self) -> float:
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"""使用重构后的能量管理器计算focus_energy"""
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try:
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from src.chat.energy_system import energy_manager
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# 获取所有消息
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history_messages = self.stream_context.get_history_messages(limit=global_config.chat.max_context_size)
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unread_messages = self.stream_context.get_unread_messages()
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all_messages = history_messages + unread_messages
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# 获取用户ID
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user_id = None
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if self.user_info and hasattr(self.user_info, "user_id"):
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user_id = str(self.user_info.user_id)
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# 使用能量管理器计算
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energy = energy_manager.calculate_focus_energy(
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stream_id=self.stream_id,
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messages=all_messages,
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user_id=user_id
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)
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# 更新内部存储
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self._focus_energy = energy
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logger.debug(f"聊天流 {self.stream_id} 能量: {energy:.3f}")
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return energy
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except Exception as e:
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logger.error(f"获取focus_energy失败: {e}", exc_info=True)
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# 返回缓存的值或默认值
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if hasattr(self, '_focus_energy'):
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return self._focus_energy
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else:
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return 0.5
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@focus_energy.setter
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def focus_energy(self, value: float):
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"""设置focus_energy值（主要用于初始化或特殊场景）"""
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self._focus_energy = max(0.0, min(1.0, value))
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def _get_user_relationship_score(self) -> float:
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"""获取用户关系分"""
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# 使用插件内部的兴趣度评分系统
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try:
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from src.plugins.built_in.affinity_flow_chatter.interest_scoring import chatter_interest_scoring_system
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if self.user_info and hasattr(self.user_info, "user_id"):
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user_id = str(self.user_info.user_id)
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relationship_score = chatter_interest_scoring_system._calculate_relationship_score(user_id)
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logger.debug(f"ChatStream {self.stream_id}: 用户关系分 = {relationship_score:.3f}")
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return max(0.0, min(1.0, relationship_score))
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except Exception as e:
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logger.warning(f"ChatStream {self.stream_id}: 插件内部关系分计算失败: {e}")
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# 默认基础分
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return 0.3
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def _load_history_messages(self):
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"""从数据库加载历史消息到StreamContext"""
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try:
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from src.common.database.sqlalchemy_models import Messages
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from src.common.database.sqlalchemy_database_api import get_db_session
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from src.common.data_models.database_data_model import DatabaseMessages
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from sqlalchemy import select, desc
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import asyncio
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async def _load_messages():
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def _db_query():
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with get_db_session() as session:
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# 查询该stream_id的最近20条消息
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stmt = (
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select(Messages)
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.where(Messages.chat_info_stream_id == self.stream_id)
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.order_by(desc(Messages.time))
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.limit(global_config.chat.max_context_size)
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)
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results = session.execute(stmt).scalars().all()
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return results
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# 在线程中执行数据库查询
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db_messages = await asyncio.to_thread(_db_query)
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# 转换为DatabaseMessages对象并添加到StreamContext
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for db_msg in db_messages:
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try:
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# 从SQLAlchemy模型转换为DatabaseMessages数据模型
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import orjson
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# 解析actions字段（JSON格式）
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actions = None
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if db_msg.actions:
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try:
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actions = orjson.loads(db_msg.actions)
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except (orjson.JSONDecodeError, TypeError):
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actions = None
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db_message = DatabaseMessages(
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message_id=db_msg.message_id,
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time=db_msg.time,
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chat_id=db_msg.chat_id,
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reply_to=db_msg.reply_to,
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interest_value=db_msg.interest_value,
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key_words=db_msg.key_words,
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key_words_lite=db_msg.key_words_lite,
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is_mentioned=db_msg.is_mentioned,
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processed_plain_text=db_msg.processed_plain_text,
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display_message=db_msg.display_message,
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priority_mode=db_msg.priority_mode,
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priority_info=db_msg.priority_info,
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additional_config=db_msg.additional_config,
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is_emoji=db_msg.is_emoji,
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is_picid=db_msg.is_picid,
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is_command=db_msg.is_command,
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is_notify=db_msg.is_notify,
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user_id=db_msg.user_id,
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user_nickname=db_msg.user_nickname,
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user_cardname=db_msg.user_cardname,
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user_platform=db_msg.user_platform,
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chat_info_group_id=db_msg.chat_info_group_id,
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chat_info_group_name=db_msg.chat_info_group_name,
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chat_info_group_platform=db_msg.chat_info_group_platform,
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chat_info_user_id=db_msg.chat_info_user_id,
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chat_info_user_nickname=db_msg.chat_info_user_nickname,
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chat_info_user_cardname=db_msg.chat_info_user_cardname,
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chat_info_user_platform=db_msg.chat_info_user_platform,
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chat_info_stream_id=db_msg.chat_info_stream_id,
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chat_info_platform=db_msg.chat_info_platform,
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chat_info_create_time=db_msg.chat_info_create_time,
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chat_info_last_active_time=db_msg.chat_info_last_active_time,
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actions=actions,
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should_reply=getattr(db_msg, "should_reply", False) or False,
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)
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# 添加调试日志：检查从数据库加载的interest_value
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logger.debug(f"加载历史消息 {db_message.message_id} - interest_value: {db_message.interest_value}")
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# 标记为已读并添加到历史消息
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db_message.is_read = True
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self.stream_context.history_messages.append(db_message)
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except Exception as e:
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logger.warning(f"转换消息 {db_msg.message_id} 失败: {e}")
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continue
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if self.stream_context.history_messages:
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logger.info(
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f"已从数据库加载 {len(self.stream_context.history_messages)} 条历史消息到聊天流 {self.stream_id}"
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)
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# 创建任务来加载历史消息
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asyncio.create_task(_load_messages())
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except Exception as e:
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logger.error(f"加载历史消息失败: {e}")
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||
|
||
|
||
class ChatManager:
|
||
"""聊天管理器，管理所有聊天流"""
|
||
|
||
_instance = None
|
||
_initialized = False
|
||
|
||
def __new__(cls):
|
||
if cls._instance is None:
|
||
cls._instance = super().__new__(cls)
|
||
return cls._instance
|
||
|
||
def __init__(self):
|
||
if not self._initialized:
|
||
self.streams: Dict[str, ChatStream] = {} # stream_id -> ChatStream
|
||
self.last_messages: Dict[str, "MessageRecv"] = {} # stream_id -> last_message
|
||
# try:
|
||
# with get_db_session() as session:
|
||
# db.connect(reuse_if_open=True)
|
||
# # 确保 ChatStreams 表存在
|
||
# session.execute(text("CREATE TABLE IF NOT EXISTS chat_streams (stream_id TEXT PRIMARY KEY, platform TEXT, create_time REAL, last_active_time REAL, user_platform TEXT, user_id TEXT, user_nickname TEXT, user_cardname TEXT, group_platform TEXT, group_id TEXT, group_name TEXT)"))
|
||
# await session.commit()
|
||
# except Exception as e:
|
||
# logger.error(f"数据库连接或 ChatStreams 表创建失败: {e}")
|
||
|
||
self._initialized = True
|
||
# 在事件循环中启动初始化
|
||
# asyncio.create_task(self._initialize())
|
||
# # 启动自动保存任务
|
||
# asyncio.create_task(self._auto_save_task())
|
||
|
||
async def _initialize(self):
|
||
"""异步初始化"""
|
||
try:
|
||
await self.load_all_streams()
|
||
logger.info(f"聊天管理器已启动，已加载 {len(self.streams)} 个聊天流")
|
||
except Exception as e:
|
||
logger.error(f"聊天管理器启动失败: {str(e)}")
|
||
|
||
async def _auto_save_task(self):
|
||
"""定期自动保存所有聊天流"""
|
||
while True:
|
||
await asyncio.sleep(300) # 每5分钟保存一次
|
||
try:
|
||
await self._save_all_streams()
|
||
logger.info("聊天流自动保存完成")
|
||
except Exception as e:
|
||
logger.error(f"聊天流自动保存失败: {str(e)}")
|
||
|
||
def register_message(self, message: "MessageRecv"):
|
||
"""注册消息到聊天流"""
|
||
stream_id = self._generate_stream_id(
|
||
message.message_info.platform, # type: ignore
|
||
message.message_info.user_info,
|
||
message.message_info.group_info,
|
||
)
|
||
self.last_messages[stream_id] = message
|
||
# logger.debug(f"注册消息到聊天流: {stream_id}")
|
||
|
||
@staticmethod
|
||
def _generate_stream_id(
|
||
platform: str, user_info: Optional[UserInfo], group_info: Optional[GroupInfo] = None
|
||
) -> str:
|
||
"""生成聊天流唯一ID"""
|
||
if not user_info and not group_info:
|
||
raise ValueError("用户信息或群组信息必须提供")
|
||
|
||
if group_info:
|
||
# 组合关键信息
|
||
components = [platform, str(group_info.group_id)]
|
||
else:
|
||
components = [platform, str(user_info.user_id), "private"] # type: ignore
|
||
|
||
# 使用MD5生成唯一ID
|
||
key = "_".join(components)
|
||
return hashlib.md5(key.encode()).hexdigest()
|
||
|
||
@staticmethod
|
||
def get_stream_id(platform: str, id: str, is_group: bool = True) -> str:
|
||
"""获取聊天流ID"""
|
||
components = [platform, id] if is_group else [platform, id, "private"]
|
||
key = "_".join(components)
|
||
return hashlib.md5(key.encode()).hexdigest()
|
||
|
||
async def get_or_create_stream(
|
||
self, platform: str, user_info: UserInfo, group_info: Optional[GroupInfo] = None
|
||
) -> ChatStream:
|
||
"""获取或创建聊天流
|
||
|
||
Args:
|
||
platform: 平台标识
|
||
user_info: 用户信息
|
||
group_info: 群组信息（可选）
|
||
|
||
Returns:
|
||
ChatStream: 聊天流对象
|
||
"""
|
||
# 生成stream_id
|
||
try:
|
||
stream_id = self._generate_stream_id(platform, user_info, group_info)
|
||
|
||
# 检查内存中是否存在
|
||
if stream_id in self.streams:
|
||
stream = self.streams[stream_id]
|
||
|
||
# 更新用户信息和群组信息
|
||
stream.update_active_time()
|
||
stream = copy.deepcopy(stream) # 返回副本以避免外部修改影响缓存
|
||
if user_info.platform and user_info.user_id:
|
||
stream.user_info = user_info
|
||
if group_info:
|
||
stream.group_info = group_info
|
||
from .message import MessageRecv # 延迟导入，避免循环引用
|
||
|
||
if stream_id in self.last_messages and isinstance(self.last_messages[stream_id], MessageRecv):
|
||
stream.set_context(self.last_messages[stream_id])
|
||
else:
|
||
logger.error(f"聊天流 {stream_id} 不在最后消息列表中，可能是新创建的")
|
||
return stream
|
||
|
||
# 检查数据库中是否存在
|
||
async def _db_find_stream_async(s_id: str):
|
||
async with get_db_session() as session:
|
||
return (await session.execute(select(ChatStreams).where(ChatStreams.stream_id == s_id))).scalars().first()
|
||
|
||
model_instance = await _db_find_stream_async(stream_id)
|
||
|
||
if model_instance:
|
||
# 从 SQLAlchemy 模型转换回 ChatStream.from_dict 期望的格式
|
||
user_info_data = {
|
||
"platform": model_instance.user_platform,
|
||
"user_id": model_instance.user_id,
|
||
"user_nickname": model_instance.user_nickname,
|
||
"user_cardname": model_instance.user_cardname or "",
|
||
}
|
||
group_info_data = None
|
||
if model_instance and getattr(model_instance, "group_id", None):
|
||
group_info_data = {
|
||
"platform": model_instance.group_platform,
|
||
"group_id": model_instance.group_id,
|
||
"group_name": model_instance.group_name,
|
||
}
|
||
|
||
data_for_from_dict = {
|
||
"stream_id": model_instance.stream_id,
|
||
"platform": model_instance.platform,
|
||
"user_info": user_info_data,
|
||
"group_info": group_info_data,
|
||
"create_time": model_instance.create_time,
|
||
"last_active_time": model_instance.last_active_time,
|
||
"energy_value": model_instance.energy_value,
|
||
"sleep_pressure": model_instance.sleep_pressure,
|
||
}
|
||
stream = ChatStream.from_dict(data_for_from_dict)
|
||
# 更新用户信息和群组信息
|
||
stream.user_info = user_info
|
||
if group_info:
|
||
stream.group_info = group_info
|
||
stream.update_active_time()
|
||
else:
|
||
# 创建新的聊天流
|
||
stream = ChatStream(
|
||
stream_id=stream_id,
|
||
platform=platform,
|
||
user_info=user_info,
|
||
group_info=group_info,
|
||
)
|
||
except Exception as e:
|
||
logger.error(f"获取或创建聊天流失败: {e}", exc_info=True)
|
||
raise e
|
||
|
||
stream = copy.deepcopy(stream)
|
||
from .message import MessageRecv # 延迟导入，避免循环引用
|
||
|
||
if stream_id in self.last_messages and isinstance(self.last_messages[stream_id], MessageRecv):
|
||
stream.set_context(self.last_messages[stream_id])
|
||
else:
|
||
logger.error(f"聊天流 {stream_id} 不在最后消息列表中，可能是新创建的")
|
||
# 保存到内存和数据库
|
||
self.streams[stream_id] = stream
|
||
await self._save_stream(stream)
|
||
return stream
|
||
|
||
def get_stream(self, stream_id: str) -> Optional[ChatStream]:
|
||
"""通过stream_id获取聊天流"""
|
||
stream = self.streams.get(stream_id)
|
||
if not stream:
|
||
return None
|
||
if stream_id in self.last_messages:
|
||
stream.set_context(self.last_messages[stream_id])
|
||
return stream
|
||
|
||
def get_stream_by_info(
|
||
self, platform: str, user_info: UserInfo, group_info: Optional[GroupInfo] = None
|
||
) -> Optional[ChatStream]:
|
||
"""通过信息获取聊天流"""
|
||
stream_id = self._generate_stream_id(platform, user_info, group_info)
|
||
return self.streams.get(stream_id)
|
||
|
||
def get_stream_name(self, stream_id: str) -> Optional[str]:
|
||
"""根据 stream_id 获取聊天流名称"""
|
||
stream = self.get_stream(stream_id)
|
||
if not stream:
|
||
return None
|
||
|
||
if stream.group_info and stream.group_info.group_name:
|
||
return stream.group_info.group_name
|
||
elif stream.user_info and stream.user_info.user_nickname:
|
||
return f"{stream.user_info.user_nickname}的私聊"
|
||
else:
|
||
return None
|
||
|
||
@staticmethod
|
||
async def _save_stream(stream: ChatStream):
|
||
"""保存聊天流到数据库"""
|
||
if stream.saved:
|
||
return
|
||
stream_data_dict = stream.to_dict()
|
||
|
||
async def _db_save_stream_async(s_data_dict: dict):
|
||
async with get_db_session() as session:
|
||
user_info_d = s_data_dict.get("user_info")
|
||
group_info_d = s_data_dict.get("group_info")
|
||
fields_to_save = {
|
||
"platform": s_data_dict["platform"],
|
||
"create_time": s_data_dict["create_time"],
|
||
"last_active_time": s_data_dict["last_active_time"],
|
||
"user_platform": user_info_d["platform"] if user_info_d else "",
|
||
"user_id": user_info_d["user_id"] if user_info_d else "",
|
||
"user_nickname": user_info_d["user_nickname"] if user_info_d else "",
|
||
"user_cardname": user_info_d.get("user_cardname", "") if user_info_d else None,
|
||
"group_platform": group_info_d["platform"] if group_info_d else "",
|
||
"group_id": group_info_d["group_id"] if group_info_d else "",
|
||
"group_name": group_info_d["group_name"] if group_info_d else "",
|
||
"energy_value": s_data_dict.get("energy_value", 5.0),
|
||
"sleep_pressure": s_data_dict.get("sleep_pressure", 0.0),
|
||
"focus_energy": s_data_dict.get("focus_energy", 0.5),
|
||
# 新增动态兴趣度系统字段
|
||
"base_interest_energy": s_data_dict.get("base_interest_energy", 0.5),
|
||
"message_interest_total": s_data_dict.get("message_interest_total", 0.0),
|
||
"message_count": s_data_dict.get("message_count", 0),
|
||
"action_count": s_data_dict.get("action_count", 0),
|
||
"reply_count": s_data_dict.get("reply_count", 0),
|
||
"last_interaction_time": s_data_dict.get("last_interaction_time", time.time()),
|
||
"consecutive_no_reply": s_data_dict.get("consecutive_no_reply", 0),
|
||
"interruption_count": s_data_dict.get("interruption_count", 0),
|
||
}
|
||
if global_config.database.database_type == "sqlite":
|
||
stmt = sqlite_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save)
|
||
stmt = stmt.on_conflict_do_update(index_elements=["stream_id"], set_=fields_to_save)
|
||
elif global_config.database.database_type == "mysql":
|
||
stmt = mysql_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save)
|
||
stmt = stmt.on_duplicate_key_update(
|
||
**{key: value for key, value in fields_to_save.items() if key != "stream_id"}
|
||
)
|
||
else:
|
||
stmt = sqlite_insert(ChatStreams).values(stream_id=s_data_dict["stream_id"], **fields_to_save)
|
||
stmt = stmt.on_conflict_do_update(index_elements=["stream_id"], set_=fields_to_save)
|
||
await session.execute(stmt)
|
||
await session.commit()
|
||
|
||
try:
|
||
await _db_save_stream_async(stream_data_dict)
|
||
stream.saved = True
|
||
except Exception as e:
|
||
logger.error(f"保存聊天流 {stream.stream_id} 到数据库失败 (SQLAlchemy): {e}", exc_info=True)
|
||
|
||
async def _save_all_streams(self):
|
||
"""保存所有聊天流"""
|
||
for stream in self.streams.values():
|
||
await self._save_stream(stream)
|
||
|
||
async def load_all_streams(self):
|
||
"""从数据库加载所有聊天流"""
|
||
logger.info("正在从数据库加载所有聊天流")
|
||
|
||
async def _db_load_all_streams_async():
|
||
loaded_streams_data = []
|
||
async with get_db_session() as session:
|
||
for model_instance in (await session.execute(select(ChatStreams))).scalars().all():
|
||
user_info_data = {
|
||
"platform": model_instance.user_platform,
|
||
"user_id": model_instance.user_id,
|
||
"user_nickname": model_instance.user_nickname,
|
||
"user_cardname": model_instance.user_cardname or "",
|
||
}
|
||
group_info_data = None
|
||
if model_instance and getattr(model_instance, "group_id", None):
|
||
group_info_data = {
|
||
"platform": model_instance.group_platform,
|
||
"group_id": model_instance.group_id,
|
||
"group_name": model_instance.group_name,
|
||
}
|
||
data_for_from_dict = {
|
||
"stream_id": model_instance.stream_id,
|
||
"platform": model_instance.platform,
|
||
"user_info": user_info_data,
|
||
"group_info": group_info_data,
|
||
"create_time": model_instance.create_time,
|
||
"last_active_time": model_instance.last_active_time,
|
||
"energy_value": model_instance.energy_value,
|
||
"sleep_pressure": model_instance.sleep_pressure,
|
||
"focus_energy": getattr(model_instance, "focus_energy", 0.5),
|
||
# 新增动态兴趣度系统字段 - 使用getattr提供默认值
|
||
"base_interest_energy": getattr(model_instance, "base_interest_energy", 0.5),
|
||
"message_interest_total": getattr(model_instance, "message_interest_total", 0.0),
|
||
"message_count": getattr(model_instance, "message_count", 0),
|
||
"action_count": getattr(model_instance, "action_count", 0),
|
||
"reply_count": getattr(model_instance, "reply_count", 0),
|
||
"last_interaction_time": getattr(model_instance, "last_interaction_time", time.time()),
|
||
"relationship_score": getattr(model_instance, "relationship_score", 0.3),
|
||
"consecutive_no_reply": getattr(model_instance, "consecutive_no_reply", 0),
|
||
"interruption_count": getattr(model_instance, "interruption_count", 0),
|
||
}
|
||
loaded_streams_data.append(data_for_from_dict)
|
||
await session.commit()
|
||
return loaded_streams_data
|
||
|
||
try:
|
||
all_streams_data_list = await _db_load_all_streams_async()
|
||
self.streams.clear()
|
||
for data in all_streams_data_list:
|
||
stream = ChatStream.from_dict(data)
|
||
stream.saved = True
|
||
self.streams[stream.stream_id] = stream
|
||
if stream.stream_id in self.last_messages:
|
||
stream.set_context(self.last_messages[stream.stream_id])
|
||
except Exception as e:
|
||
logger.error(f"从数据库加载所有聊天流失败 (SQLAlchemy): {e}", exc_info=True)
|
||
|
||
|
||
chat_manager = None
|
||
|
||
|
||
def get_chat_manager():
|
||
global chat_manager
|
||
if chat_manager is None:
|
||
chat_manager = ChatManager()
|
||
return chat_manager
|