100 lines
3.2 KiB
Python
100 lines
3.2 KiB
Python
#!/usr/bin/env python3
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"""
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配置文件缓存模块 - 提供异步文件读取缓存功能
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用于优化并发请求时的文件I/O性能
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"""
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import asyncio
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import os
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import json
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from typing import Dict, Tuple, Optional, Any
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from utils.logger import logger
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class ConfigFileCache:
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"""配置文件缓存类
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提供基于文件修改时间的缓存机制，避免重复读取未修改的文件
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"""
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def __init__(self):
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self._cache: Dict[str, Tuple[Any, float]] = {} # {file_path: (content, mtime)}
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self._lock = asyncio.Lock()
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async def get_text_file(self, file_path: str) -> Optional[str]:
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"""获取文本文件内容，带缓存机制
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Args:
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file_path: 文件路径
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Returns:
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文件内容字符串，如果文件不存在或读取失败返回None
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"""
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async with self._lock:
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if not os.path.exists(file_path):
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return None
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current_mtime = os.path.getmtime(file_path)
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# 检查缓存是否有效
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if file_path in self._cache:
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cached_content, cached_mtime = self._cache[file_path]
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if current_mtime == cached_mtime:
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logger.debug(f"使用缓存文件: {file_path}")
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return cached_content
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# 读取文件并更新缓存
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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self._cache[file_path] = (content, current_mtime)
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logger.debug(f"缓存文件: {file_path}")
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return content
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except Exception as e:
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logger.error(f"读取文本文件失败 {file_path}: {e}")
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return None
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async def get_json_file(self, file_path: str) -> Optional[Dict]:
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"""获取JSON文件内容，带缓存机制
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Args:
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file_path: JSON文件路径
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Returns:
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解析后的字典，如果文件不存在、读取失败或JSON解析失败返回None
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"""
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content = await self.get_text_file(file_path)
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if content:
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try:
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return json.loads(content)
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except json.JSONDecodeError as e:
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logger.error(f"JSON解析失败 {file_path}: {e}")
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return None
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def clear_cache(self, file_path: str = None):
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"""清理缓存
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Args:
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file_path: 要清理的文件路径，如果为None则清理所有缓存
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"""
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if file_path:
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self._cache.pop(file_path, None)
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logger.debug(f"清理文件缓存: {file_path}")
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else:
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cleared_count = len(self._cache)
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self._cache.clear()
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logger.debug(f"清理所有缓存，共{cleared_count}个文件")
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def get_cache_stats(self) -> Dict:
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"""获取缓存统计信息
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Returns:
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包含缓存统计信息的字典
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"""
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return {
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"cached_files": len(self._cache),
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"cached_paths": list(self._cache.keys())
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}
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# 全局缓存实例
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config_cache = ConfigFileCache() |