feat(affinity-flow): 优化兴趣度评分系统并集成消息管理器

重构兴趣度评分系统，移除时间因子权重，增加未读消息处理机制。集成消息管理器用于消息存储和状态跟踪，改进提及检测逻辑。

主要变更：
- 移除时间因子评分，调整兴趣匹配度权重至0.5
- 添加未读消息参数到规划器，优化兴趣度计算
- 引入消息管理器处理消息存储和状态标记
- 改进提及检测逻辑，使用消息对象的is_mentioned属性
- 添加消息清理和启动/停止机制

BREAKING CHANGE: 兴趣度评分算法调整，需要重新评估消息优先级

src/common/data_models/database_data_model.py

@@ -79,6 +79,7 @@ class DatabaseMessages(BaseDataModel):
         is_command: bool = False,
         is_notify: bool = False,
         selected_expressions: Optional[str] = None,
+        is_read: bool = False,
         user_id: str = "",
         user_nickname: str = "",
         user_cardname: Optional[str] = None,
@@ -122,6 +123,7 @@ class DatabaseMessages(BaseDataModel):
         self.is_notify = is_notify
 
         self.selected_expressions = selected_expressions
+        self.is_read = is_read
 
         self.group_info: Optional[DatabaseGroupInfo] = None
         self.user_info = DatabaseUserInfo(
@@ -188,6 +190,7 @@ class DatabaseMessages(BaseDataModel):
             "is_command": self.is_command,
             "is_notify": self.is_notify,
             "selected_expressions": self.selected_expressions,
+            "is_read": self.is_read,
             "user_id": self.user_info.user_id,
             "user_nickname": self.user_info.user_nickname,
             "user_cardname": self.user_info.user_cardname,

src/common/data_models/info_data_model.py

@@ -33,7 +33,6 @@ class InterestScore(BaseDataModel):
     interest_match_score: float
     relationship_score: float
     mentioned_score: float
-    time_factor_score: float
     details: Dict[str, str]
 
 

src/common/data_models/message_manager_data_model.py

@@ -0,0 +1,82 @@
+"""
+消息管理模块数据模型
+定义消息管理器使用的数据结构
+"""
+import asyncio
+import time
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import List, Optional, TYPE_CHECKING
+
+from . import BaseDataModel
+
+if TYPE_CHECKING:
+    from .database_data_model import DatabaseMessages
+
+
+class MessageStatus(Enum):
+    """消息状态枚举"""
+    UNREAD = "unread"    # 未读消息
+    READ = "read"        # 已读消息
+    PROCESSING = "processing"  # 处理中
+
+
+@dataclass
+class StreamContext(BaseDataModel):
+    """聊天流上下文信息"""
+    stream_id: str
+    unread_messages: List["DatabaseMessages"] = field(default_factory=list)
+    history_messages: List["DatabaseMessages"] = field(default_factory=list)
+    last_check_time: float = field(default_factory=time.time)
+    is_active: bool = True
+    processing_task: Optional[asyncio.Task] = None
+
+    def add_message(self, message: "DatabaseMessages"):
+        """添加消息到上下文"""
+        message.is_read = False
+        self.unread_messages.append(message)
+
+    def get_unread_messages(self) -> List["DatabaseMessages"]:
+        """获取未读消息"""
+        return [msg for msg in self.unread_messages if not msg.is_read]
+
+    def mark_message_as_read(self, message_id: str):
+        """标记消息为已读"""
+        for msg in self.unread_messages:
+            if msg.message_id == message_id:
+                msg.is_read = True
+                self.history_messages.append(msg)
+                self.unread_messages.remove(msg)
+                break
+
+    def get_context_messages(self, limit: int = 20) -> List["DatabaseMessages"]:
+        """获取上下文消息（历史消息+未读消息）"""
+        # 优先返回最近的历史消息和所有未读消息
+        recent_history = self.history_messages[-limit:] if len(self.history_messages) > limit else self.history_messages
+        return recent_history + self.unread_messages
+
+
+@dataclass
+class MessageManagerStats(BaseDataModel):
+    """消息管理器统计信息"""
+    total_streams: int = 0
+    active_streams: int = 0
+    total_unread_messages: int = 0
+    total_processed_messages: int = 0
+    start_time: float = field(default_factory=time.time)
+
+    @property
+    def uptime(self) -> float:
+        """运行时间"""
+        return time.time() - self.start_time
+
+
+@dataclass
+class StreamStats(BaseDataModel):
+    """聊天流统计信息"""
+    stream_id: str
+    is_active: bool
+    unread_count: int
+    history_count: int
+    last_check_time: float
+    has_active_task: bool