ruff

src/common/data_models/bot_interest_data_model.py

@@ -10,6 +10,7 @@ from typing import Any
 import numpy as np
 
 from src.config.config import model_config
+
 from . import BaseDataModel
 
 

src/common/database/optimization/preloader.py

@@ -9,11 +9,10 @@
 
 import asyncio
 import time
-from collections import defaultdict
+from collections import OrderedDict, defaultdict
 from collections.abc import Awaitable, Callable
 from dataclasses import dataclass, field
 from typing import Any
-from collections import OrderedDict
 
 from sqlalchemy import select
 from sqlalchemy.ext.asyncio import AsyncSession

src/common/log_broadcaster.py

@@ -122,7 +122,7 @@ class BroadcastLogHandler(logging.Handler):
         try:
             # 导入logger元数据获取函数
             from src.common.logger import get_logger_meta
-            
+
             return get_logger_meta(logger_name)
         except Exception:
             # 如果获取失败,返回空元数据
@@ -138,7 +138,7 @@ class BroadcastLogHandler(logging.Handler):
         try:
             # 获取logger元数据（别名和颜色）
             logger_meta = self._get_logger_metadata(record.name)
-            
+
             # 转换日志记录为字典
             log_dict = {
                 "timestamp": self.format_time(record),
@@ -146,7 +146,7 @@ class BroadcastLogHandler(logging.Handler):
                 "logger_name": record.name,  # 原始logger名称
                 "event": record.getMessage(),
             }
-            
+
             # 添加别名和颜色（如果存在）
             if logger_meta["alias"]:
                 log_dict["alias"] = logger_meta["alias"]

src/common/memory_utils.py

@@ -34,7 +34,7 @@ def get_accurate_size(obj: Any, seen: set | None = None, max_depth: int = 3, _cu
     # 深度限制：防止递归爆炸
     if _current_depth >= max_depth:
         return sys.getsizeof(obj)
-    
+
     # 对象数量限制：防止内存爆炸
     if len(seen) > 10000:
         return sys.getsizeof(obj)
@@ -55,7 +55,7 @@ def get_accurate_size(obj: Any, seen: set | None = None, max_depth: int = 3, _cu
     if isinstance(obj, dict):
         # 限制处理的键值对数量
         items = list(obj.items())[:1000]  # 最多处理1000个键值对
-        size += sum(get_accurate_size(k, seen, max_depth, _current_depth + 1) + 
+        size += sum(get_accurate_size(k, seen, max_depth, _current_depth + 1) +
                    get_accurate_size(v, seen, max_depth, _current_depth + 1)
                    for k, v in items)
 
@@ -204,7 +204,7 @@ def estimate_cache_item_size(obj: Any) -> int:
     if pickle_size > 0:
         # pickle 通常略小于实际内存，乘以1.5作为安全系数
         return int(pickle_size * 1.5)
-    
+
     # 方法2: 智能估算（深度受限，采样大容器）
     try:
         smart_size = estimate_size_smart(obj, max_depth=5, sample_large=True)