bbbf543078
重构聊天系统以使用集中式消息管理API，移除ChatMessageContext类，将兴趣度计算和动作记录功能整合到StreamContext中。 主要变更： - 移除ChatMessageContext类，使用StreamContext统一管理消息上下文 - 在DatabaseMessages模型中添加interest_degree、actions、should_reply字段 - 实现消息管理器API用于更新消息信息和刷新focus_energy - 重构ChatStream的focus_energy计算逻辑，基于StreamContext历史消息 - 在动作管理器中添加动作记录功能，确保动作执行后更新消息状态 BREAKING CHANGE: ChatMessageContext类已被移除，相关功能需使用StreamContext API替代
624 lines
28 KiB
Python
624 lines
28 KiB
Python
import asyncio
|
||
import hashlib
|
||
import time
|
||
import copy
|
||
from typing import Dict, Optional, TYPE_CHECKING
|
||
from rich.traceback import install
|
||
from maim_message import GroupInfo, UserInfo
|
||
|
||
from src.common.logger import get_logger
|
||
from sqlalchemy import select
|
||
from sqlalchemy.dialects.sqlite import insert as sqlite_insert
|
||
from sqlalchemy.dialects.mysql import insert as mysql_insert
|
||
from src.common.database.sqlalchemy_models import ChatStreams # 新增导入
|
||
from src.common.database.sqlalchemy_database_api import get_db_session
|
||
from src.config.config import global_config # 新增导入
|
||
|
||
# 避免循环导入，使用TYPE_CHECKING进行类型提示
|
||
if TYPE_CHECKING:
|
||
from .message import MessageRecv
|
||
|
||
|
||
install(extra_lines=3)
|
||
|
||
|
||
logger = get_logger("chat_stream")
|
||
|
||
|
||
class ChatStream:
|
||
"""聊天流对象，存储一个完整的聊天上下文"""
|
||
|
||
def __init__(
|
||
self,
|
||
stream_id: str,
|
||
platform: str,
|
||
user_info: UserInfo,
|
||
group_info: Optional[GroupInfo] = None,
|
||
data: Optional[dict] = None,
|
||
):
|
||
self.stream_id = stream_id
|
||
self.platform = platform
|
||
self.user_info = user_info
|
||
self.group_info = group_info
|
||
self.create_time = data.get("create_time", time.time()) if data else time.time()
|
||
self.last_active_time = data.get("last_active_time", self.create_time) if data else self.create_time
|
||
self.sleep_pressure = data.get("sleep_pressure", 0.0) if data else 0.0
|
||
self.saved = False
|
||
|
||
# 使用StreamContext替代ChatMessageContext
|
||
from src.common.data_models.message_manager_data_model import StreamContext
|
||
from src.plugin_system.base.component_types import ChatType, ChatMode
|
||
self.stream_context: StreamContext = StreamContext(
|
||
stream_id=stream_id,
|
||
chat_type=ChatType.GROUP if group_info else ChatType.PRIVATE,
|
||
chat_mode=ChatMode.NORMAL
|
||
)
|
||
|
||
# 基础参数
|
||
self.base_interest_energy = 0.5 # 默认基础兴趣度
|
||
self._focus_energy = 0.5 # 内部存储的focus_energy值
|
||
self.no_reply_consecutive = 0
|
||
|
||
|
||
def to_dict(self) -> dict:
|
||
"""转换为字典格式"""
|
||
return {
|
||
"stream_id": self.stream_id,
|
||
"platform": self.platform,
|
||
"user_info": self.user_info.to_dict() if self.user_info else None,
|
||
"group_info": self.group_info.to_dict() if self.group_info else None,
|
||
"create_time": self.create_time,
|
||
"last_active_time": self.last_active_time,
|
||
"sleep_pressure": self.sleep_pressure,
|
||
"focus_energy": self.focus_energy,
|
||
# 基础兴趣度
|
||
"base_interest_energy": self.base_interest_energy,
|
||
# 新增stream_context信息
|
||
"stream_context_chat_type": self.stream_context.chat_type.value,
|
||
"stream_context_chat_mode": self.stream_context.chat_mode.value,
|
||
}
|
||
|
||
@classmethod
|
||
def from_dict(cls, data: dict) -> "ChatStream":
|
||
"""从字典创建实例"""
|
||
user_info = UserInfo.from_dict(data.get("user_info", {})) if data.get("user_info") else None
|
||
group_info = GroupInfo.from_dict(data.get("group_info", {})) if data.get("group_info") else None
|
||
|
||
instance = cls(
|
||
stream_id=data["stream_id"],
|
||
platform=data["platform"],
|
||
user_info=user_info, # type: ignore
|
||
group_info=group_info,
|
||
data=data,
|
||
)
|
||
|
||
# 恢复stream_context信息
|
||
if "stream_context_chat_type" in data:
|
||
from src.plugin_system.base.component_types import ChatType, ChatMode
|
||
instance.stream_context.chat_type = ChatType(data["stream_context_chat_type"])
|
||
if "stream_context_chat_mode" in data:
|
||
from src.plugin_system.base.component_types import ChatType, ChatMode
|
||
instance.stream_context.chat_mode = ChatMode(data["stream_context_chat_mode"])
|
||
|
||
return instance
|
||
|
||
def update_active_time(self):
|
||
"""更新最后活跃时间"""
|
||
self.last_active_time = time.time()
|
||
self.saved = False
|
||
|
||
def set_context(self, message: "MessageRecv"):
|
||
"""设置聊天消息上下文"""
|
||
# 将MessageRecv转换为DatabaseMessages并设置到stream_context
|
||
from src.common.data_models.database_data_model import DatabaseMessages
|
||
|
||
# 简化转换，实际可能需要更完整的转换逻辑
|
||
db_message = DatabaseMessages(
|
||
message_id=getattr(message, 'message_id', ''),
|
||
time=getattr(message, 'time', time.time()),
|
||
chat_id=getattr(message, 'chat_id', ''),
|
||
user_id=str(getattr(message.message_info, 'user_info', {}).user_id) if hasattr(message, 'message_info') and hasattr(message.message_info, 'user_info') else '',
|
||
user_nickname=getattr(message.message_info, 'user_info', {}).user_nickname if hasattr(message, 'message_info') and hasattr(message.message_info, 'user_info') else '',
|
||
user_platform=getattr(message.message_info, 'user_info', {}).platform if hasattr(message, 'message_info') and hasattr(message.message_info, 'user_info') else '',
|
||
priority_mode=getattr(message, 'priority_mode', None),
|
||
priority_info=str(getattr(message, 'priority_info', None)) if hasattr(message, 'priority_info') and message.priority_info else None,
|
||
)
|
||
|
||
self.stream_context.set_current_message(db_message)
|
||
self.stream_context.priority_mode = getattr(message, 'priority_mode', None)
|
||
self.stream_context.priority_info = getattr(message, 'priority_info', None)
|
||
|
||
@property
|
||
def focus_energy(self) -> float:
|
||
"""动态计算的聊天流总体兴趣度，访问时自动更新"""
|
||
self._focus_energy = self._calculate_dynamic_focus_energy()
|
||
return self._focus_energy
|
||
|
||
@focus_energy.setter
|
||
def focus_energy(self, value: float):
|
||
"""设置focus_energy值（主要用于初始化或特殊场景）"""
|
||
self._focus_energy = max(0.0, min(1.0, value))
|
||
|
||
def _calculate_dynamic_focus_energy(self) -> float:
|
||
"""动态计算聊天流的总体兴趣度，使用StreamContext历史消息"""
|
||
try:
|
||
# 从StreamContext获取历史消息计算统计数据
|
||
history_messages = self.stream_context.get_history_messages(limit=global_config.chat.max_context_size)
|
||
unread_messages = self.stream_context.get_unread_messages()
|
||
all_messages = history_messages + unread_messages
|
||
|
||
# 计算基于历史消息的统计数据
|
||
if all_messages:
|
||
# 基础分：平均消息兴趣度
|
||
message_interests = [msg.interest_degree for msg in all_messages if hasattr(msg, 'interest_degree')]
|
||
avg_message_interest = sum(message_interests) / len(message_interests) if message_interests else 0.3
|
||
|
||
# 动作参与度：有动作的消息比例
|
||
messages_with_actions = [msg for msg in all_messages if hasattr(msg, 'actions') and msg.actions]
|
||
action_rate = len(messages_with_actions) / len(all_messages)
|
||
|
||
# 回复活跃度：应该回复且已回复的消息比例
|
||
should_reply_messages = [msg for msg in all_messages if hasattr(msg, 'should_reply') and msg.should_reply]
|
||
replied_messages = [msg for msg in should_reply_messages if hasattr(msg, 'actions') and 'reply' in (msg.actions or [])]
|
||
reply_rate = len(replied_messages) / len(should_reply_messages) if should_reply_messages else 0.0
|
||
|
||
# 获取最后交互时间
|
||
if all_messages:
|
||
self.last_interaction_time = max(msg.time for msg in all_messages)
|
||
|
||
# 连续无回复计算：从最近的未回复消息计数
|
||
consecutive_no_reply = 0
|
||
for msg in reversed(all_messages):
|
||
if hasattr(msg, 'should_reply') and msg.should_reply:
|
||
if not (hasattr(msg, 'actions') and 'reply' in (msg.actions or [])):
|
||
consecutive_no_reply += 1
|
||
else:
|
||
break
|
||
else:
|
||
# 没有历史消息时的默认值
|
||
avg_message_interest = 0.3
|
||
action_rate = 0.0
|
||
reply_rate = 0.0
|
||
consecutive_no_reply = 0
|
||
self.last_interaction_time = time.time()
|
||
|
||
# 获取用户关系分（对于私聊，群聊无效）
|
||
relationship_factor = self._get_user_relationship_score()
|
||
|
||
# 时间衰减因子：最近活跃度
|
||
current_time = time.time()
|
||
if not hasattr(self, 'last_interaction_time') or not self.last_interaction_time:
|
||
self.last_interaction_time = current_time
|
||
time_since_interaction = current_time - self.last_interaction_time
|
||
time_decay = max(0.3, 1.0 - min(time_since_interaction / (7 * 24 * 3600), 0.7)) # 7天衰减
|
||
|
||
# 连续无回复惩罚
|
||
no_reply_penalty = max(0.1, 1.0 - consecutive_no_reply * 0.1)
|
||
|
||
# 获取AFC系统阈值，添加None值检查
|
||
reply_threshold = getattr(global_config.affinity_flow, 'reply_action_interest_threshold', 0.4)
|
||
non_reply_threshold = getattr(global_config.affinity_flow, 'non_reply_action_interest_threshold', 0.2)
|
||
high_match_threshold = getattr(global_config.affinity_flow, 'high_match_interest_threshold', 0.8)
|
||
|
||
# 计算与不同阈值的差距比例
|
||
reply_gap_ratio = max(0, (avg_message_interest - reply_threshold) / max(0.1, (1.0 - reply_threshold)))
|
||
non_reply_gap_ratio = max(0, (avg_message_interest - non_reply_threshold) / max(0.1, (1.0 - non_reply_threshold)))
|
||
high_match_gap_ratio = max(0, (avg_message_interest - high_match_threshold) / max(0.1, (1.0 - high_match_threshold)))
|
||
|
||
# 基于阈值差距比例的基础分计算
|
||
threshold_based_score = (
|
||
reply_gap_ratio * 0.6 + # 回复阈值差距权重60%
|
||
non_reply_gap_ratio * 0.2 + # 非回复阈值差距权重20%
|
||
high_match_gap_ratio * 0.2 # 高匹配阈值差距权重20%
|
||
)
|
||
|
||
# 动态权重调整：根据平均兴趣度水平调整权重分配
|
||
if avg_message_interest >= high_match_threshold:
|
||
# 高兴趣度：更注重阈值差距
|
||
threshold_weight = 0.7
|
||
activity_weight = 0.2
|
||
relationship_weight = 0.1
|
||
elif avg_message_interest >= reply_threshold:
|
||
# 中等兴趣度：平衡权重
|
||
threshold_weight = 0.5
|
||
activity_weight = 0.3
|
||
relationship_weight = 0.2
|
||
else:
|
||
# 低兴趣度：更注重活跃度提升
|
||
threshold_weight = 0.3
|
||
activity_weight = 0.5
|
||
relationship_weight = 0.2
|
||
|
||
# 计算活跃度得分
|
||
activity_score = (action_rate * 0.6 + reply_rate * 0.4)
|
||
|
||
# 综合计算：基于阈值的动态加权
|
||
focus_energy = (
|
||
threshold_based_score * threshold_weight + # 阈值差距基础分
|
||
activity_score * activity_weight + # 活跃度得分
|
||
relationship_factor * relationship_weight + # 关系得分
|
||
self.base_interest_energy * 0.05 # 基础兴趣微调
|
||
) * time_decay * no_reply_penalty
|
||
|
||
# 确保在合理范围内
|
||
focus_energy = max(0.1, min(1.0, focus_energy))
|
||
|
||
# 应用非线性变换增强区分度
|
||
if focus_energy >= 0.7:
|
||
# 高兴趣度区域：指数增强，更敏感
|
||
focus_energy = 0.7 + (focus_energy - 0.7) ** 0.8
|
||
elif focus_energy >= 0.4:
|
||
# 中等兴趣度区域：线性保持
|
||
pass
|
||
else:
|
||
# 低兴趣度区域：对数压缩，减少区分度
|
||
focus_energy = 0.4 * (focus_energy / 0.4) ** 1.2
|
||
|
||
return max(0.1, min(1.0, focus_energy))
|
||
|
||
except Exception as e:
|
||
logger.error(f"计算动态focus_energy失败: {e}")
|
||
return self.base_interest_energy
|
||
|
||
def _get_user_relationship_score(self) -> float:
|
||
"""从外部系统获取用户关系分"""
|
||
try:
|
||
# 尝试从兴趣评分系统获取用户关系分
|
||
from src.plugins.built_in.affinity_flow_chatter.interest_scoring import (
|
||
chatter_interest_scoring_system,
|
||
)
|
||
|
||
if self.user_info and hasattr(self.user_info, 'user_id'):
|
||
return chatter_interest_scoring_system.get_user_relationship(str(self.user_info.user_id))
|
||
except Exception:
|
||
pass
|
||
|
||
# 默认基础分
|
||
return 0.3
|
||
|
||
|
||
|
||
|
||
|
||
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)"))
|
||
# 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()
|
||
|
||
def get_stream_id(self, 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
|
||
def _db_find_stream_sync(s_id: str):
|
||
with get_db_session() as session:
|
||
return session.execute(select(ChatStreams).where(ChatStreams.stream_id == s_id)).scalar()
|
||
|
||
model_instance = await asyncio.to_thread(_db_find_stream_sync, stream_id)
|
||
|
||
if model_instance:
|
||
# 从 Peewee 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()
|
||
|
||
def _db_save_stream_sync(s_data_dict: dict):
|
||
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),
|
||
}
|
||
|
||
# 根据数据库类型选择插入语句
|
||
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:
|
||
# 默认使用通用插入，尝试SQLite语法
|
||
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)
|
||
|
||
session.execute(stmt)
|
||
session.commit()
|
||
|
||
try:
|
||
await asyncio.to_thread(_db_save_stream_sync, 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 (Peewee): {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")
|
||
|
||
def _db_load_all_streams_sync():
|
||
loaded_streams_data = []
|
||
with get_db_session() as session:
|
||
for model_instance in session.execute(select(ChatStreams)).scalars():
|
||
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),
|
||
}
|
||
loaded_streams_data.append(data_for_from_dict)
|
||
session.commit()
|
||
return loaded_streams_data
|
||
|
||
try:
|
||
all_streams_data_list = await asyncio.to_thread(_db_load_all_streams_sync)
|
||
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 (Peewee): {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
|