feat(analytics): 4h 调度分析链+CLI 回填+full_sync 夜间自愈步

- scheduler: yunke_analytics_tick job(与消息增量同节奏 IntervalTrigger),
  _analytics_tick 纯 DB——stat_daily_staff 滚动3天刷新 + 敏感词增量扫描,
  不抢 _page_lock 无子进程,异常只记日志不断链;today 用 time.time()
  UTC epoch 喂 day_key,规避服务器非上海时区的 naive now 误判
- cli: staff-daily-stats(全量重建 rollup,幂等)+ sensitive-scan
  (默认增量水位扫描,--full 首跑建水位/新词回填历史;description 明示
  加词不回填历史)+ 幂等补种起步词库
- full_sync_all.sh: daily-stats 后追加 staff-daily-stats(rollup 随
  msg_daily_stats 重建同步自愈)
- 测试: tick 行为测试(今日 seed→stat_daily_staff 出行)+ 异常吞噬
  (monkeypatch 抛错不外抛);同步更新注册断言(3→4 jobs)

Co-Authored-By: Claude Code <noreply@anthropic.com>

yunke-server/tests/test_scheduler_analytics_tick.py

@@ -0,0 +1,76 @@
+"""_analytics_tick:滚动刷新 + 增量扫描 + 异常吞掉(数据分析板块 v1, T11)。
+
+行为测试是底线——start() 的 job 注册断言在 test_sync_scheduler.py 的
+注册测试里同步更新(那里 spy 断言 add_job 全集)。
+"""
+from __future__ import annotations
+
+import logging
+import time
+
+import pytest
+from sqlalchemy import func, select
+from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
+from sqlalchemy.pool import StaticPool
+
+from app.db.base import Base
+from app.db.models import MsgDailyStats, SensitiveWord, StatDailyStaff
+from app.storage.summary import day_key
+from app.sync.scheduler import SyncScheduler
+
+
+@pytest.fixture
+async def sched_engine():
+    # StaticPool:内存库单连接共享,同 engine 的多 session 看到同一份数据
+    engine = create_async_engine(
+        "sqlite+aiosqlite:///:memory:", poolclass=StaticPool,
+        connect_args={"check_same_thread": False},
+    )
+    async with engine.begin() as conn:
+        await conn.run_sync(Base.metadata.create_all)
+    maker = async_sessionmaker(engine, expire_on_commit=False)
+    yield engine, maker
+    await engine.dispose()
+
+
+async def test_analytics_tick_runs(sched_engine):
+    """滚动 3 天窗覆盖今日 seed → stat_daily_staff 出行;tick 不抛。
+
+    _analytics_tick 用真实「今天」算滚动窗(time.time() 喂 day_key,上海
+    自然日)——seed 的 day 必须相对当日,否则窗口错过。
+    """
+    engine, maker = sched_engine
+    today = day_key(int(time.time() * 1000))
+    async with maker() as s:
+        s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
+                            peer_kind="friend", peer_id="t1", day=today,
+                            send_cnt=1, recv_cnt=0, last_ts=1756950000000,
+                            last_is_send=True))
+        s.add(SensitiveWord(word="私单"))
+        await s.commit()
+    sch = SyncScheduler(engine=engine, session_maker=maker)
+    await sch._analytics_tick()  # 不抛即过
+    async with maker() as s:
+        n = (await s.execute(
+            select(func.count()).select_from(StatDailyStaff)
+        )).scalar_one()
+        assert n >= 1
+
+
+async def test_analytics_tick_swallows_errors(sched_engine, monkeypatch, caplog):
+    """内部异常只记日志不抛(保住下一个调度周期)。
+
+    直接让 recompute_days 抛错——_analytics_tick 内部的
+    ``from app.storage.staff_summary import recompute_days`` 在调用时求值,
+    monkeypatch 模块属性即可命中。
+    """
+    engine, maker = sched_engine
+
+    async def _boom(*args, **kwargs):
+        raise RuntimeError("boom")
+
+    monkeypatch.setattr("app.storage.staff_summary.recompute_days", _boom)
+    sch = SyncScheduler(engine=engine, session_maker=maker)
+    with caplog.at_level(logging.ERROR, logger="app.sync.scheduler"):
+        await sch._analytics_tick()  # 不抛
+    assert any("analytics tick failed" in r.getMessage() for r in caplog.records)