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* 性能优化 * 代码改进 * 优化浏览器代际切换逻辑 * 统一缓存与生命周期 * 添加aiomysql依赖 * 优化插件路径处理逻辑,简化条件判断;在虚拟环境包管理器中添加编码和错误处理参数以增强稳定性 * 🚨 auto fix by pre-commit hooks * 优化Windows下的关闭逻辑 * 代码优化 * bugfix:修复配置重载问题 * bugfix:修复插件加载启动竞态问题 * 收敛事件入口和权限上下文 * 优化 Windows launcher 关闭重启兜底 --------- Co-authored-by: HibiKier <775757368@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
177 lines
5.7 KiB
Python
177 lines
5.7 KiB
Python
"""
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头像缓存服务
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提供一个统一的、带缓存的头像获取服务,支持多平台和可配置的过期策略。
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"""
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from collections import OrderedDict
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import os
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from pathlib import Path
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import time
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from nonebot_plugin_apscheduler import scheduler
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from zhenxun.configs.config import Config
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from zhenxun.configs.path_config import DATA_PATH
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from zhenxun.services.log import logger
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from zhenxun.utils.http_utils import AsyncHttpx
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from zhenxun.utils.platform import PlatformUtils
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Config.add_plugin_config(
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"avatar_cache",
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"ENABLED",
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True,
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help="是否启用头像缓存功能",
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default_value=True,
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type=bool,
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)
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Config.add_plugin_config(
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"avatar_cache",
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"TTL_DAYS",
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7,
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help="头像缓存的有效期(天)",
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default_value=7,
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type=int,
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)
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Config.add_plugin_config(
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"avatar_cache",
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"CLEANUP_INTERVAL_HOURS",
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24,
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help="后台清理过期缓存的间隔时间(小时)",
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default_value=24,
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type=int,
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)
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class AvatarService:
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"""
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一个集中式的头像缓存服务,提供L1(内存)和L2(文件)两级缓存。
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"""
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_MEMORY_CACHE_MAX_ITEMS = 2000
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def __init__(self):
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self.cache_path = (DATA_PATH / "cache" / "avatars").resolve()
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self.cache_path.mkdir(parents=True, exist_ok=True)
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self._memory_cache: OrderedDict[str, Path] = OrderedDict()
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def _get_cache_path(self, platform: str, identifier: str) -> Path:
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"""
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根据平台和ID生成存储的文件路径。
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例如: data/cache/avatars/qq/123456789.png
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"""
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identifier = str(identifier)
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return self.cache_path / platform / f"{identifier}.png"
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def clear_memory_cache(self) -> int:
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size = len(self._memory_cache)
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self._memory_cache.clear()
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return size
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async def get_avatar_path(
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self, platform: str, identifier: str, force_refresh: bool = False
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) -> Path | None:
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"""
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获取用户或群组的头像本地路径。
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参数:
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platform: 平台名称 (e.g., 'qq')
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identifier: 用户ID或群组ID
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force_refresh: 是否强制刷新缓存
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返回:
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Path | None: 头像的本地文件路径,如果获取失败则返回None。
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"""
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if not Config.get_config("avatar_cache", "ENABLED"):
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return None
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cache_key = f"{platform}-{identifier}"
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if not force_refresh and cache_key in self._memory_cache:
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cached_path = self._memory_cache[cache_key]
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if cached_path.exists():
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self._memory_cache.move_to_end(cache_key)
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return cached_path
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self._memory_cache.pop(cache_key, None)
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local_path = self._get_cache_path(platform, identifier)
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ttl_seconds = Config.get_config("avatar_cache", "TTL_DAYS", 7) * 86400
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if not force_refresh and local_path.exists():
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try:
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file_mtime = os.path.getmtime(local_path)
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if time.time() - file_mtime < ttl_seconds:
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self._memory_cache[cache_key] = local_path
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self._memory_cache.move_to_end(cache_key)
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while len(self._memory_cache) > self._MEMORY_CACHE_MAX_ITEMS:
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self._memory_cache.popitem(last=False)
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return local_path
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except FileNotFoundError:
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pass
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avatar_url = PlatformUtils.get_user_avatar_url(identifier, platform)
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if not avatar_url:
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return None
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local_path.parent.mkdir(parents=True, exist_ok=True)
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if await AsyncHttpx.download_file(avatar_url, local_path):
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self._memory_cache[cache_key] = local_path
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self._memory_cache.move_to_end(cache_key)
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while len(self._memory_cache) > self._MEMORY_CACHE_MAX_ITEMS:
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self._memory_cache.popitem(last=False)
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return local_path
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else:
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logger.warning(f"下载头像失败: {avatar_url}", "AvatarService")
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return None
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async def _cleanup_cache(self):
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"""后台定时清理过期的缓存文件"""
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if not Config.get_config("avatar_cache", "ENABLED"):
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return
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logger.info("开始执行头像缓存清理任务...", "AvatarService")
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ttl_seconds = Config.get_config("avatar_cache", "TTL_DAYS", 7) * 86400
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now = time.time()
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deleted_count = 0
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for root, _, files in os.walk(self.cache_path):
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for name in files:
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file_path = Path(root) / name
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try:
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if now - os.path.getmtime(file_path) > ttl_seconds:
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file_path.unlink()
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deleted_count += 1
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except FileNotFoundError:
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continue
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if self._memory_cache:
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stale_keys = []
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for key, cached_path in self._memory_cache.items():
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if not cached_path.exists():
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stale_keys.append(key)
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continue
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try:
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if now - os.path.getmtime(cached_path) > ttl_seconds:
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stale_keys.append(key)
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except OSError:
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stale_keys.append(key)
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for key in stale_keys:
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self._memory_cache.pop(key, None)
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while len(self._memory_cache) > self._MEMORY_CACHE_MAX_ITEMS:
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self._memory_cache.popitem(last=False)
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logger.info(
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f"头像缓存清理完成,共删除 {deleted_count} 个过期文件。", "AvatarService"
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)
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avatar_service = AvatarService()
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@scheduler.scheduled_job(
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"cron",
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hour=4,
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minute=30,
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)
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async def _run_avatar_cache_cleanup():
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await avatar_service._cleanup_cache()
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