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a2e70b443d
* wip(v3): 移植监控与整理韧性修复到 v3 基线 包含：监控看门狗隔离/挂载探测、整理队列持久化、文件系统子进程代理、 写入原子化。迁移重挂到 v3 链 8a4c7e1d2f90 -> 7f5c1d2e3a4b -> e3d9f4b7c806。 tmdb 相关测试尚未通过，待定位。 * fix(v3): 修正移植引入的 16 项测试失败 - poller.py：合并时我方保留的行仍用旧变量名 merged_snapshot，而 v3 已统一 改名为 current_snapshot，导致 NameError 被外层 except 吞掉、快照从未保存 - smb.py：采纳 f-string 拆分写法，恢复 Python 3.11 可解析 - dispatcher 测试：历史查重由 _should_skip_by_history 统一承担，mock 点随之调整 - tmdb 缓存测试：补充 v3 新增的 media_source/media_id 字段 - tmdb 重试测试：为 fake 补充 match_multi/async_match_multi 尚余 3 项与 v3 识别流程的连接失败处理有关，待单独判断。 * fix(v3): 测试适配 v3 的 media_source/media_id 重构 v3 将媒体标识从 tmdbid 统一重构为 media_source + media_id，recognize_media 的 tmdbid 参数已被 **kwargs 静默吞掉——传了也不生效，流程会误降级到名称搜索。 tmdb 重试用例改用新参数后恢复正确路径。 同时修正 fake 的 match_multi 语义：真实实现（tmdbapi.match_multi）吞掉所有 异常并返回 None，连接失败与「未找到」在该路径上本就不可区分，fake 需保持一致。 至此移植引入的 19 项失败全部清零。 --------- Co-authored-by: Aqr-K <Aqr-K@users.noreply.github.com>
510 lines
19 KiB
Python
510 lines
19 KiB
Python
"""
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挂载级(block 型)故障下的监控自愈测试。
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背景：CloudDrive2/115 等 FUSE 挂载会进入「请求不返回错误、永不返回」的挂死
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状态。此时监控自愈体系的检测环节仍然有效，但恢复环节（重建监控线程、重试
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整理队列）本身要访问挂载，一旦内联执行就会把全局自愈的单点——健康检查——
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冻死在它自己要修复的挂载上，随后停滞检测、告警、重试驱动全部静默失效。
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crash 型（挂载抛 Transport endpoint is not connected）的自愈由
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test_monitor_resilience.py 覆盖；这些测试固定 block 型的两项不变量：
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「看门狗零挂载访问」与「挂载级故障隔离/探测/恢复」。
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"""
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import threading
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import time
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from pathlib import Path
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from threading import Lock, Thread
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from unittest.mock import MagicMock
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import pytest
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from app.monitor import LocalDirectoryWatcher, Monitor
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from app.monitor.recovery import RecoveryExecutor, RecoveryState, probe_path
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def _build_monitor(monkeypatch, put_recorder=None):
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"""
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构造测试用 Monitor 骨架，绕过单例初始化。
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:param monkeypatch: pytest monkeypatch
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:param put_recorder: 消息推送记录器
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:return: Monitor 骨架
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"""
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put_recorder = put_recorder or MagicMock()
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monkeypatch.setattr("app.monitor.monitor.MessageHelper", MagicMock(return_value=put_recorder))
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monitor = object.__new__(Monitor)
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monitor._dispatcher = MagicMock()
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monitor._watchers = []
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monitor._watcher_lock = Lock()
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monitor._pending_locals = []
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monitor._alerted_paths = {}
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monitor._restart_marks = {}
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monitor._stable_cycles = {}
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monitor._isolated = {}
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monitor._recovery = RecoveryExecutor()
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return monitor
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def _fake_watcher(mon_path, alive=True, stalled=False, restart_count=0):
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"""
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构造测试用监控线程替身。
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:param mon_path: 监控目录
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:param alive: 线程是否存活
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:param stalled: 是否静默失效
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:param restart_count: 自动重启次数
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:return: 监控线程替身
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"""
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watcher = MagicMock()
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watcher.watch_path = mon_path
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watcher.is_alive.return_value = alive
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watcher.is_stalled.return_value = stalled
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watcher.restart_count = restart_count
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watcher.last_activity_time = time.time()
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return watcher
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def _run_watchdog(monitor, timeout=10.0):
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"""
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在独立线程里跑一次健康检查，返回它是否在限定时间内结束。
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:param monitor: Monitor 骨架
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:param timeout: 最长等待秒数
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:return: 健康检查是否已返回
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"""
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done = threading.Event()
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def runner():
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"""
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执行一次健康检查并标记结束。
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"""
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try:
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monitor.watchdog()
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finally:
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done.set()
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Thread(target=runner, daemon=True, name="test-watchdog").start()
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return done.wait(timeout=timeout)
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# --------------------------------------------------------------------------- #
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# P0：看门狗线程零挂载访问
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# --------------------------------------------------------------------------- #
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def test_watchdog_returns_while_rebuild_blocks_forever(tmp_path, monkeypatch):
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"""
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根因回归：重建动作卡在死挂载上永不返回时，健康检查本身必须在有限时间内
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返回。事故中看门狗内联执行重建，冻死后 13 个目录的停滞检测与告警全部失效。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 0.5)
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monitor = _build_monitor(monkeypatch)
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watcher = _fake_watcher(tmp_path, alive=True, stalled=True)
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monitor._watchers = [watcher]
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entered = threading.Event()
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release = threading.Event()
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def blocking_rebuild(_target):
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"""
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模拟 block 型挂载：进入后永不返回。
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"""
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entered.set()
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release.wait()
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setattr(monitor, "_Monitor__rebuild_watcher", blocking_rebuild)
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try:
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assert _run_watchdog(monitor), "看门狗被重建动作冻死，未能在限定时间内返回"
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assert entered.is_set(), "重建动作没有被真正发起"
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finally:
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release.set()
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def test_watchdog_returns_while_pending_retry_blocks_forever(tmp_path, monkeypatch):
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"""
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重试驱动（整理重试队列的 stat）同样会卡在死挂载上，也必须移出看门狗线程。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 0.5)
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monitor = _build_monitor(monkeypatch)
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release = threading.Event()
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monitor._dispatcher.retry_pending.side_effect = lambda: release.wait()
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try:
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assert _run_watchdog(monitor), "看门狗被整理重试驱动冻死，未能在限定时间内返回"
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finally:
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release.set()
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def test_watchdog_returns_while_local_retry_blocks_forever(tmp_path, monkeypatch):
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"""
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启动失败目录的重试会走 decide_monitor_mode 的 os.walk 与 watcher.start()
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的 exists()，同样触碰挂载，必须移出看门狗线程。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 0.5)
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monitor = _build_monitor(monkeypatch)
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monitor._pending_locals = [{"mon_path": tmp_path, "monitor_mode": "compatibility"}]
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release = threading.Event()
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def blocking_start(**_kwargs):
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"""
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模拟启动重试卡在死挂载的目录遍历上。
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"""
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release.wait()
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return False
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setattr(monitor, "_Monitor__start_local_monitor", blocking_start)
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try:
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assert _run_watchdog(monitor), "看门狗被本地监控重试冻死，未能在限定时间内返回"
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finally:
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release.set()
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def test_check_watchers_performs_no_filesystem_access(tmp_path, monkeypatch):
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"""
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检测与判定必须是纯内存运算：只读线程存活标志、心跳与重启计数，
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不做任何文件系统访问，否则检测环节本身也会被 block 型故障拖死。
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"""
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monitor = _build_monitor(monkeypatch)
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watcher = _fake_watcher(tmp_path, alive=True, stalled=True)
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monitor._watchers = [watcher]
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def forbidden(*_args, **_kwargs):
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"""
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任何真实的文件系统调用都应视为检测环节的缺陷。
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"""
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raise AssertionError("检测环节不允许访问文件系统")
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for name in ("stat", "exists", "is_dir", "iterdir", "rglob"):
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monkeypatch.setattr(Path, name, forbidden, raising=False)
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broken = monitor._Monitor__check_watchers()
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assert broken == [watcher]
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def test_watchdog_survives_blocking_exists_in_real_rebuild(tmp_path, monkeypatch):
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"""
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端到端回归：不替换任何恢复逻辑，只让 Path.exists() 永不返回（等价于对 FUSE
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守护进程 kill -STOP 后挂载的表现），走真实的
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__rebuild_watcher -> LocalDirectoryWatcher.start() -> exists() 调用链。
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事故当天冻结的就是这一行（watcher.py 的 start() 入口校验）。修复后看门狗
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必须照常返回，并把该目录转入隔离。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 0.5)
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monitor = _build_monitor(monkeypatch)
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# 用真实 watcher：只把底层线程换成替身，让它被判定为「存活但静默失效」
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watcher = LocalDirectoryWatcher(tmp_path, callback=MagicMock(), force_polling=True)
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watcher._thread = MagicMock()
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watcher._thread.is_alive.return_value = True
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watcher._mark_activity()
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watcher._last_activity -= LocalDirectoryWatcher.STALL_TIMEOUT + 1
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monitor._watchers = [watcher]
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release = threading.Event()
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real_exists = Path.exists
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def blocking_exists(self, *args, **kwargs):
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"""
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模拟 block 型挂载：对监控目录的 exists() 永不返回。
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"""
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if self == tmp_path:
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release.wait()
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return real_exists(self, *args, **kwargs)
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monkeypatch.setattr(Path, "exists", blocking_exists)
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monkeypatch.setattr("app.monitor.monitor.probe_path", lambda *_a, **_kw: False)
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try:
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assert _run_watchdog(monitor), "看门狗冻死在真实的重建调用链上"
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assert str(tmp_path) in monitor._isolated, "重建无响应后目录没有转入隔离"
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finally:
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release.set()
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# --------------------------------------------------------------------------- #
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# P0.5：挂载级故障隔离
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# --------------------------------------------------------------------------- #
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def test_rebuild_timeout_isolates_directory(tmp_path, monkeypatch):
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"""
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重建在挂载上超时未返回 = 挂载级故障：该目录转入隔离，后续周期不再对它
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发起任何新的挂载访问，避免每 60 秒泄漏一个冻死的线程。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 0.3)
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monitor = _build_monitor(monkeypatch)
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watcher = _fake_watcher(tmp_path, alive=True, stalled=True)
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monitor._watchers = [watcher]
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calls = []
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release = threading.Event()
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def blocking_rebuild(target):
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"""
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模拟 block 型挂载上的重建：进入后永不返回。
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"""
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calls.append(target)
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release.wait()
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setattr(monitor, "_Monitor__rebuild_watcher", blocking_rebuild)
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monkeypatch.setattr("app.monitor.monitor.probe_path", lambda *_a, **_kw: False)
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try:
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assert _run_watchdog(monitor)
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assert str(tmp_path) in monitor._isolated, "重建超时后目录没有转入隔离"
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# 第二个周期：隔离中的目录不得再被提交重建
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assert _run_watchdog(monitor)
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assert len(calls) == 1, "隔离中的目录仍在被反复重建，会持续泄漏冻死的线程"
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finally:
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release.set()
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def test_isolated_directory_recovers_after_probe_succeeds(tmp_path, monkeypatch):
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"""
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隔离期间用可放弃的子进程探测挂载；探测通过即解除隔离、重建监控，
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并复用既有的补偿扫描补回停摆期间落地的文件。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 5.0)
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monitor = _build_monitor(monkeypatch)
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watcher = _fake_watcher(tmp_path, alive=True, stalled=True)
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monitor._watchers = [watcher]
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monitor._isolated = {str(tmp_path): {"watcher": watcher, "since": time.time(), "failures": 3}}
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rebuilt = []
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setattr(monitor, "_Monitor__rebuild_watcher", rebuilt.append)
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monkeypatch.setattr("app.monitor.monitor.probe_path", lambda *_a, **_kw: True)
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assert _run_watchdog(monitor)
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assert str(tmp_path) not in monitor._isolated, "探测通过后没有解除隔离"
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assert rebuilt == [watcher], "解除隔离后没有重建监控"
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def test_isolated_directory_stays_isolated_while_probe_fails(tmp_path, monkeypatch):
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"""
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探测未通过说明挂载仍未恢复应答，必须保持隔离并累计失败次数。
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"""
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monkeypatch.setattr(Monitor, "RECOVERY_TIMEOUT", 5.0)
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monitor = _build_monitor(monkeypatch)
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watcher = _fake_watcher(tmp_path, alive=True, stalled=True)
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monitor._watchers = [watcher]
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monitor._isolated = {str(tmp_path): {"watcher": watcher, "since": time.time(), "failures": 0}}
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rebuilt = []
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setattr(monitor, "_Monitor__rebuild_watcher", rebuilt.append)
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monkeypatch.setattr("app.monitor.monitor.probe_path", lambda *_a, **_kw: False)
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assert _run_watchdog(monitor)
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assert monitor._isolated[str(tmp_path)]["failures"] == 1
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assert rebuilt == [], "挂载尚未恢复就重建监控，只会再冻死一个线程"
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def test_pending_locals_skip_isolated_directories(tmp_path, monkeypatch):
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"""
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隔离中的目录不能再走启动重试路径，否则又会在同一个挂载上冻死。
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"""
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monitor = _build_monitor(monkeypatch)
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monitor._pending_locals = [{"mon_path": tmp_path, "monitor_mode": "compatibility"}]
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monitor._isolated = {str(tmp_path): {"watcher": _fake_watcher(tmp_path), "since": time.time(),
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"failures": 0}}
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start = MagicMock(return_value=False)
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setattr(monitor, "_Monitor__start_local_monitor", start)
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monitor._Monitor__retry_pending_locals()
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start.assert_not_called()
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def test_isolation_alert_is_pushed_after_fault_alert(tmp_path, monkeypatch):
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"""
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故障→隔离是状态升级，必须再推一条告警：沿用「同目录只告警一次」会让
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用户完全看不到「监控已暂停访问、正在等待挂载恢复」这个关键状态变化。
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"""
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put_recorder = MagicMock()
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monitor = _build_monitor(monkeypatch, put_recorder)
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monitor._Monitor__send_alert(tmp_path, "目录监控异常")
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monitor._Monitor__send_alert(tmp_path, "目录监控异常")
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assert put_recorder.put.call_count == 1
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monitor._Monitor__send_alert(tmp_path, "挂载无响应，已隔离", stage="isolated")
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assert put_recorder.put.call_count == 2
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monitor._Monitor__clear_alert(tmp_path, "已恢复")
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assert put_recorder.put.call_count == 3
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assert str(tmp_path) not in monitor._alerted_paths
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# --------------------------------------------------------------------------- #
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# 整理分发器：一个文件卡死不得锁死整条整理链
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# --------------------------------------------------------------------------- #
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def test_stuck_transfer_does_not_block_other_files(monkeypatch):
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"""
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根因回归：整理的规划阶段（do_transfer 里的 get_parent_item / list_files）会
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访问挂载，在 block 型故障下永不返回。若分发器的互斥锁包住这段调用，这把锁
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就会被永久持有，把 13 个 watcher 的事件派发、补偿扫描和重试队列一起锁死
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——监控层即使自愈成功也送不进任何文件，漏件永远补不回来。
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锁只应保护 TTL 去重的 check-and-set。
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"""
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from app.monitor.dispatcher import TransferDispatcher
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dispatcher = TransferDispatcher(all_exts=[".mkv"], cache={})
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monkeypatch.setattr(dispatcher, "_should_skip_by_history", MagicMock(return_value=False))
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release = threading.Event()
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stuck_entered = threading.Event()
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transferred = []
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class FakeChain:
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"""
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整理链替身：指定文件的整理进入后永不返回。
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"""
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@staticmethod
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def do_transfer(fileitem, **_kwargs):
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"""
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模拟规划阶段卡在死挂载的 list_files 上。
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"""
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transferred.append(fileitem.path)
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if fileitem.path.endswith("stuck.mkv"):
|
||
stuck_entered.set()
|
||
release.wait()
|
||
|
||
monkeypatch.setattr("app.monitor.dispatcher.TransferChain", FakeChain)
|
||
|
||
def feed(name):
|
||
"""
|
||
向分发器送入一个文件。
|
||
"""
|
||
dispatcher.handle_file(storage="local", event_path=Path(f"/mnt/cd2/{name}"), file_size=1)
|
||
|
||
Thread(target=feed, args=("stuck.mkv",), daemon=True).start()
|
||
assert stuck_entered.wait(timeout=5), "卡死的整理没有真正进入"
|
||
|
||
done = threading.Event()
|
||
Thread(target=lambda: (feed("other.mkv"), done.set()), daemon=True).start()
|
||
|
||
try:
|
||
assert done.wait(timeout=5), "一个文件卡在死挂载上就锁死了整条整理链"
|
||
assert "/mnt/cd2/other.mkv" in transferred
|
||
finally:
|
||
release.set()
|
||
|
||
|
||
# --------------------------------------------------------------------------- #
|
||
# 恢复执行器与挂载探测
|
||
# --------------------------------------------------------------------------- #
|
||
|
||
def test_recovery_executor_reports_timeout_without_blocking():
|
||
"""
|
||
永不返回的动作只应消耗一次 timeout，执行器必须放弃它并如实报告。
|
||
"""
|
||
executor = RecoveryExecutor()
|
||
release = threading.Event()
|
||
|
||
started = time.monotonic()
|
||
results = executor.run({"stuck": release.wait}, timeout=0.3)
|
||
elapsed = time.monotonic() - started
|
||
|
||
try:
|
||
assert results == {"stuck": RecoveryState.TIMEOUT}
|
||
assert elapsed < 3.0, "执行器没有在超时后放弃冻死的动作"
|
||
finally:
|
||
release.set()
|
||
|
||
|
||
def test_recovery_executor_skips_key_with_running_task():
|
||
"""
|
||
同一个 key 的上一个动作还冻着时，不能再提交新线程——否则每个健康检查
|
||
周期都会在同一个死挂载上泄漏一个线程。
|
||
"""
|
||
executor = RecoveryExecutor()
|
||
release = threading.Event()
|
||
calls = []
|
||
|
||
def stuck():
|
||
"""
|
||
模拟永不返回的恢复动作。
|
||
"""
|
||
calls.append(1)
|
||
release.wait()
|
||
|
||
try:
|
||
assert executor.run({"k": stuck}, timeout=0.2) == {"k": RecoveryState.TIMEOUT}
|
||
assert executor.run({"k": stuck}, timeout=0.2) == {"k": RecoveryState.BUSY}
|
||
assert len(calls) == 1
|
||
finally:
|
||
release.set()
|
||
|
||
|
||
def test_recovery_executor_runs_actions_concurrently():
|
||
"""
|
||
一个周期内多个目录的恢复动作必须并发执行，否则 13 个目录串行等待会把
|
||
健康检查拖过下一个周期。
|
||
"""
|
||
executor = RecoveryExecutor()
|
||
release = threading.Event()
|
||
|
||
started = time.monotonic()
|
||
results = executor.run({f"k{i}": release.wait for i in range(5)}, timeout=0.4)
|
||
elapsed = time.monotonic() - started
|
||
|
||
try:
|
||
assert set(results.values()) == {RecoveryState.TIMEOUT}
|
||
assert elapsed < 1.5, "恢复动作是串行等待的，总耗时随目录数增长"
|
||
finally:
|
||
release.set()
|
||
|
||
|
||
def test_recovery_executor_reports_completion_and_swallows_errors():
|
||
"""
|
||
正常完成的动作报告 COMPLETED；动作内部抛异常不能让执行器崩溃，
|
||
否则一个目录的失败会连累整批恢复。
|
||
"""
|
||
executor = RecoveryExecutor()
|
||
done = []
|
||
|
||
def boom():
|
||
"""
|
||
模拟恢复动作内部异常。
|
||
"""
|
||
raise RuntimeError("rebuild failed")
|
||
|
||
results = executor.run({"ok": lambda: done.append(1), "bad": boom}, timeout=5)
|
||
|
||
assert results == {"ok": RecoveryState.COMPLETED, "bad": RecoveryState.COMPLETED}
|
||
assert done == [1]
|
||
|
||
|
||
def test_probe_path_succeeds_on_existing_directory(tmp_path):
|
||
"""
|
||
挂载可用时探测应通过。
|
||
"""
|
||
assert probe_path(tmp_path, timeout=30) is True
|
||
|
||
|
||
def test_probe_path_fails_on_missing_path(tmp_path):
|
||
"""
|
||
路径不存在时探测应失败，而不是抛异常。
|
||
"""
|
||
assert probe_path(tmp_path / "does-not-exist", timeout=30) is False
|
||
|
||
|
||
@pytest.mark.skipif(not Path("/bin/sh").exists(), reason="需要 POSIX 环境")
|
||
def test_probe_path_is_abandonable_on_timeout(tmp_path, monkeypatch):
|
||
"""
|
||
探测的关键性质：卡住时可以被放弃。线程做的 stat 无法回收，只有子进程能在
|
||
超时后被 kill——这正是隔离期间能持续探测而不泄漏资源的前提。
|
||
"""
|
||
import app.monitor.recovery as recovery
|
||
|
||
# 用一个必定超时的探测脚本替换真实探测逻辑，验证超时路径的可放弃性
|
||
monkeypatch.setattr(recovery, "_PROBE_SCRIPT", "import time; time.sleep(60)")
|
||
|
||
started = time.monotonic()
|
||
assert probe_path(tmp_path, timeout=0.5) is False
|
||
assert time.monotonic() - started < 10, "探测超时后没有及时放弃子进程"
|