feat(management): 4h分析链接入管理域滚动段——独立事务隔离/fact活跃会话+宽表+通话滚动3天
Co-Authored-By: Claude Code <noreply@anthropic.com>
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@@ -701,25 +701,27 @@ class SyncScheduler:
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print(line, flush=True)
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async def _analytics_tick(self) -> None:
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"""4h 分析链(stat_daily_staff 滚动3天 + 敏感词增量)——异常只记日志不断链。
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"""4h 分析链(staff 滚动3天 + 敏感词增量 + 管理域滚动)——异常只记日志不断链。
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纯 DB 无浏览器子进程,不抢 ``_page_lock``(DB 写毫秒级;
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``max_instances=1`` 防自身重叠即可)。与夜间 full_sync 的
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staff-daily-stats 步骤重叠时,两侧 DELETE+INSERT 在重叠 PK 范围上
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可能死锁/锁等待——非致命:tick 吞异常下轮重试,夜间脚本无 set -e
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次日自愈(UNIQUE/PK 幂等只保证串行提交下不重复,不消锁竞争)。
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两段独立事务:段1 staff+敏感词(既有);段2 管理域(fact 近3天活跃会话
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+ 宽表/通话 滚动3天,批次F 2026-09-10)。段2 失败只回滚自身,不牵连
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段1 已提交结果(v2 Task12:指标失败不中断主分析链)。纯 DB 无浏览器
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子进程,不抢 ``_page_lock``;``max_instances=1`` 防自身重叠即可。与
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夜间 full_sync 的汇总/管理步重叠时,两侧 DELETE+INSERT 在重叠 PK
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范围可能锁等待——非致命:tick 吞异常下轮重试,夜间脚本幂等自愈。
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时区:``day_key`` 内部钉死 Asia/Shanghai,喂 UTC epoch
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(``time.time()*1000``)即无歧义——用 epoch 而非 naive datetime
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只为读法直接,数学上两者经本地时区往返等价。
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(``time.time()*1000``)即无歧义。
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"""
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from app.storage.summary import day_key
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today = day_key(int(time.time() * 1000))
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# ── 段1:staff 滚动 + 敏感词增量(既有,语义原样) ──
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try:
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async with self._session_maker() as session:
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from app.analytics.sensitive import scanner
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from app.storage.staff_summary import recompute_days, rolling_days
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from app.storage.summary import day_key
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today = day_key(int(time.time() * 1000))
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n = await recompute_days(session, rolling_days(today, 3))
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scan = await scanner.run_incremental(session)
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await session.commit()
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@@ -730,6 +732,32 @@ class SyncScheduler:
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except Exception: # noqa: BLE001 — scheduler MUST NOT crash
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logger.exception("analytics tick failed")
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# ── 段2:管理域滚动(fact 活跃会话 + 宽表/通话,当日+滚动3天) ──
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try:
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async with self._session_maker() as session:
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from app.storage.employee_metrics import (
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recompute_call_days,
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recompute_metric_days,
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)
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from app.storage.first_reply_facts import (
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pairs_active_in_days,
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recompute_pairs,
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)
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from app.storage.staff_summary import rolling_days
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rd = rolling_days(today, 3)
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pairs = await pairs_active_in_days(session, rd)
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f = await recompute_pairs(session, pairs)
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w = await recompute_metric_days(session, rd)
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c = await recompute_call_days(session, rd)
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await session.commit()
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logger.info(
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"[analytics-tick] mgmt fact_pairs=%s wide_rows=%s call_rows=%s",
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f, w, c,
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)
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except Exception: # noqa: BLE001
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logger.exception("management metrics tick failed")
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async def _page_subprocess(self, args: list[str], *, timeout: float | None = None) -> int:
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"""启动页面子进程并等待结束;继承环境 + 补 DB_URL/PYTHONIOENCODING。
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@@ -1,4 +1,4 @@
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"""_analytics_tick:滚动刷新 + 增量扫描 + 异常吞掉(数据分析板块 v1, T11)。
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"""_analytics_tick:滚动刷新 + 增量扫描 + 管理域滚动段 + 异常吞掉(v1 T11;批次F F1)。
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行为测试是底线——start() 的 job 注册断言在 test_sync_scheduler.py 的
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注册测试里同步更新(那里 spy 断言 add_job 全集)。
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@@ -15,6 +15,7 @@ from sqlalchemy.pool import StaticPool
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from app.db.base import Base
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from app.db.models import MsgDailyStats, SensitiveWord, StatDailyStaff
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from app.storage.staff_summary import rolling_days
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from app.storage.summary import day_key
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from app.sync.scheduler import SyncScheduler
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@@ -74,3 +75,110 @@ async def test_analytics_tick_swallows_errors(sched_engine, monkeypatch, caplog)
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with caplog.at_level(logging.ERROR, logger="app.sync.scheduler"):
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await sch._analytics_tick() # 不抛
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assert any("analytics tick failed" in r.getMessage() for r in caplog.records)
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async def _seed_today(sched_engine) -> int:
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"""seed 当日一条 wechat friend 会话 + 敏感词,返回 seed 用的 day 键。"""
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_, maker = sched_engine
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today = day_key(int(time.time() * 1000))
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async with maker() as s:
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s.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
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peer_kind="friend", peer_id="t1", day=today,
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send_cnt=1, recv_cnt=0, last_ts=1756950000000,
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last_is_send=True))
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s.add(SensitiveWord(word="私单"))
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await s.commit()
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return today
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async def test_tick_calls_management_chain_in_order(sched_engine, monkeypatch):
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"""两段链完整顺序:recompute_days → scan → pairs_active_in_days →
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recompute_pairs → recompute_metric_days → recompute_call_days。
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记录桩替换全部六个上游——_analytics_tick 段内函数延迟 import,
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monkeypatch 模块属性即命中(惯例见 test_analytics_tick_swallows_errors)。
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"""
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engine, maker = sched_engine
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calls: list[str] = []
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def rec(name: str, ret):
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async def _stub(*args, **kwargs):
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calls.append(name)
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return ret
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return _stub
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monkeypatch.setattr("app.storage.staff_summary.recompute_days",
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rec("recompute_days", 0))
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monkeypatch.setattr("app.analytics.sensitive.scanner.run_incremental",
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rec("scan", {"scanned": 0, "hits": 0}))
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monkeypatch.setattr("app.storage.first_reply_facts.pairs_active_in_days",
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rec("pairs_active_in_days", []))
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monkeypatch.setattr("app.storage.first_reply_facts.recompute_pairs",
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rec("recompute_pairs", 0))
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monkeypatch.setattr("app.storage.employee_metrics.recompute_metric_days",
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rec("recompute_metric_days", 0))
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monkeypatch.setattr("app.storage.employee_metrics.recompute_call_days",
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rec("recompute_call_days", 0))
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sch = SyncScheduler(engine=engine, session_maker=maker)
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await sch._analytics_tick()
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assert calls == [
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"recompute_days", "scan", # 段1
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"pairs_active_in_days", "recompute_pairs", # 段2
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"recompute_metric_days", "recompute_call_days",
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]
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async def test_tick_management_failure_isolated(sched_engine, monkeypatch, caplog):
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"""段2 失败隔离:recompute_metric_days 抛 RuntimeError → ①tick 不抛;
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②记 "management metrics tick failed";③段1 已提交的 StatDailyStaff
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不被段2 回滚(两段独立事务)。
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"""
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engine, maker = sched_engine
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await _seed_today(sched_engine)
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async def _boom(*args, **kwargs):
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raise RuntimeError("boom")
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monkeypatch.setattr("app.storage.employee_metrics.recompute_metric_days", _boom)
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sch = SyncScheduler(engine=engine, session_maker=maker)
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with caplog.at_level(logging.ERROR, logger="app.sync.scheduler"):
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await sch._analytics_tick() # ①不抛
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assert any( # ②段2 独立记日志
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"management metrics tick failed" in r.getMessage() for r in caplog.records
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)
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async with maker() as s: # ③段1 结果已提交
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n = (await s.execute(
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select(func.count()).select_from(StatDailyStaff)
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)).scalar_one()
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assert n >= 1
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async def test_tick_management_rolling_window(sched_engine, monkeypatch):
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"""管理域三函数收到的 days == rolling_days(today, 3)(长度 3,当日+前
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两天),且与 staff 段捕获的窗口一致(两段共用函数顶提取的同一 today)。
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"""
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engine, maker = sched_engine
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got: dict[str, list[int]] = {}
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def cap(name: str, ret):
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async def _stub(session, days, *args, **kwargs):
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got[name] = list(days)
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return ret
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return _stub
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monkeypatch.setattr("app.storage.staff_summary.recompute_days",
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cap("staff", 0))
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monkeypatch.setattr("app.storage.first_reply_facts.pairs_active_in_days",
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cap("pairs", []))
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monkeypatch.setattr("app.storage.employee_metrics.recompute_metric_days",
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cap("wide", 0))
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monkeypatch.setattr("app.storage.employee_metrics.recompute_call_days",
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cap("call", 0))
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sch = SyncScheduler(engine=engine, session_maker=maker)
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await sch._analytics_tick()
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rd = rolling_days(day_key(int(time.time() * 1000)), 3)
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assert len(rd) == 3 # 当日 + 前两天
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assert got["staff"] == got["pairs"] == got["wide"] == got["call"] == rd
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