re-style: 格式化代码

src/chat/frequency_analyzer/analyzer.py

@@ -16,8 +16,7 @@ Chat Frequency Analyzer
 """
 
 import time as time_module
-from datetime import datetime, timedelta, time
-from typing import List, Tuple, Optional
+from datetime import datetime, time, timedelta
 
 from .tracker import chat_frequency_tracker
 
@@ -42,7 +41,7 @@ class ChatFrequencyAnalyzer:
         self._cache_ttl_seconds = 60 * 30  # 缓存30分钟
 
     @staticmethod
-    def _find_peak_windows(timestamps: List[float]) -> List[Tuple[datetime, datetime]]:
+    def _find_peak_windows(timestamps: list[float]) -> list[tuple[datetime, datetime]]:
         """
         使用滑动窗口算法来识别时间戳列表中的高峰时段。
 
@@ -59,7 +58,7 @@ class ChatFrequencyAnalyzer:
         datetimes = [datetime.fromtimestamp(ts) for ts in timestamps]
         datetimes.sort()
 
-        peak_windows: List[Tuple[datetime, datetime]] = []
+        peak_windows: list[tuple[datetime, datetime]] = []
         window_start_idx = 0
 
         for i in range(len(datetimes)):
@@ -83,7 +82,7 @@ class ChatFrequencyAnalyzer:
 
         return peak_windows
 
-    def get_peak_chat_times(self, chat_id: str) -> List[Tuple[time, time]]:
+    def get_peak_chat_times(self, chat_id: str) -> list[tuple[time, time]]:
         """
         获取指定用户的高峰聊天时间段。
 
@@ -116,7 +115,7 @@ class ChatFrequencyAnalyzer:
 
         return peak_time_windows
 
-    def is_in_peak_time(self, chat_id: str, now: Optional[datetime] = None) -> bool:
+    def is_in_peak_time(self, chat_id: str, now: datetime | None = None) -> bool:
         """
         检查当前时间是否处于用户的高峰聊天时段内。
 

src/chat/frequency_analyzer/tracker.py

@@ -1,8 +1,8 @@
-import orjson
 import time
-from typing import Dict, List, Optional
 from pathlib import Path
 
+import orjson
+
 from src.common.logger import get_logger
 
 # 数据存储路径
@@ -19,10 +19,10 @@ class ChatFrequencyTracker:
     """
 
     def __init__(self):
-        self._timestamps: Dict[str, List[float]] = self._load_timestamps()
+        self._timestamps: dict[str, list[float]] = self._load_timestamps()
 
     @staticmethod
-    def _load_timestamps() -> Dict[str, List[float]]:
+    def _load_timestamps() -> dict[str, list[float]]:
         """从本地文件加载时间戳数据。"""
         if not TRACKER_FILE.exists():
             return {}
@@ -61,7 +61,7 @@ class ChatFrequencyTracker:
         logger.debug(f"为 chat_id '{chat_id}' 记录了新的聊天时间: {now}")
         self._save_timestamps()
 
-    def get_timestamps_for_chat(self, chat_id: str) -> Optional[List[float]]:
+    def get_timestamps_for_chat(self, chat_id: str) -> list[float] | None:
         """
         获取指定聊天的所有时间戳记录。
 

src/chat/frequency_analyzer/trigger.py

@@ -18,11 +18,10 @@ Frequency-Based Proactive Trigger
 import asyncio
 import time
 from datetime import datetime
-from typing import Dict, Optional
 
 from src.common.logger import get_logger
-# AFC manager has been moved to chatter plugin
 
+# AFC manager has been moved to chatter plugin
 # TODO: 需要重新实现主动思考和睡眠管理功能
 from .analyzer import chat_frequency_analyzer
 
@@ -42,10 +41,10 @@ class FrequencyBasedTrigger:
 
     def __init__(self):
         # TODO: 需要重新实现睡眠管理器
-        self._task: Optional[asyncio.Task] = None
+        self._task: asyncio.Task | None = None
         # 记录上次为用户触发的时间，用于冷却控制
         # 格式: { "chat_id": timestamp }
-        self._last_triggered: Dict[str, float] = {}
+        self._last_triggered: dict[str, float] = {}
 
     async def _run_trigger_cycle(self):
         """触发器的主要循环逻辑。"""