fix(alerts): a series that comes back gets one history event, not two at one instant (#5442)
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When a silent series' sample also moved the rule (fired, resolved), the
resume and the transition were two events: the resume from the
pre-evaluation state at ingest time, the transition at the sample's
time. Ties sort by a random id, and the resume's "→ inactive" landed
after "→ firing", so the history read "silent, firing, back to normal"
at once and the episode closed while the alert was firing.

_track_samples now only clears the mark and returns its note; the first
sample's evaluation records one event from no_data to wherever that
sample took the rule ("firing" or "resolved" notification), or back to
the state it was in ("data_resumed", still only when notify_no_data).

Also fixes the #5441 integration test: its rule needs a recorded
resource to target (CI 8878).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-08 21:48:43 -04:00
co-authored by Claude Opus 5.5
parent a9bf4b7f16
commit 480b465b8e
3 changed files with 88 additions and 45 deletions
+32 -25
View File
@@ -249,19 +249,18 @@ async def record_metrics(session: AsyncSession, rows: list[PluginMetric], phases
samples = sorted(by_key[(rule.source_module, rule.resource_name, rule.metric_name)],
key=lambda r: r.recorded_at)
muted = _muted_by(windows, rule)
resumed = _track_samples(session, rule, alert_state, samples, now, muted)
if resumed and rule.notify_no_data and not muted:
event_id, value, note = resumed
_after_commit(session, _dispatch_notification, "data_resumed", rule, value,
event_id, note)
resumed = _track_samples(alert_state, samples, now)
for sample in samples:
notifications = await _evaluate_rule(session, rule, alert_state, sample.value,
sample.recorded_at, note=muted)
sample.recorded_at, note=muted, resumed=resumed)
resumed = None # said once, with the first sample back
if muted:
continue
for notif_type, event_id in notifications:
for notif_type, event_id, note in notifications:
if notif_type == "data_resumed" and not rule.notify_no_data:
continue
_after_commit(session, _dispatch_notification, notif_type, rule, sample.value,
event_id)
event_id, note)
# Admin-configured Ansible action runs only on transition-to-firing.
if notif_type == "firing" and rule.ansible_action:
_after_commit(session, _run_ansible_action, rule, sample.value, event_id)
@@ -315,13 +314,12 @@ def silent_since(last_sample_at: datetime | None, interval: float | None,
return last + limit if now - last > limit else None
def _track_samples(session: AsyncSession, rule: AlertRule, state: AlertState,
samples: list[PluginMetric], now: datetime, muted: str | None = None
) -> tuple[str, float, str] | None:
def _track_samples(state: AlertState, samples: list[PluginMetric], now: datetime) -> str | None:
"""Note a rule's new samples (oldest first) for silence tracking. When the
series had been marked no_data, clear it and record a resume event,
returned as (event_id, value, note) for the caller to notify. `muted` is
added to the event's note when a maintenance window holds it back."""
series had been marked no_data, clear the mark and return the note saying
so ("data resumed after 15m silent"); the first sample's evaluation
records it, in one event with whatever that sample does to the rule
(#5442)."""
for sample in samples:
if state.last_sample_at is not None:
if sample.recorded_at <= state.last_sample_at:
@@ -332,11 +330,8 @@ def _track_samples(session: AsyncSession, rule: AlertRule, state: AlertState,
if state.no_data_since is None or not samples:
return None
note = f"data resumed after {human_duration((now - state.no_data_since).total_seconds())} silent"
value = samples[-1].value
event_id = _add_event(session, rule.id, "no_data", state.state.value, value, now,
note=f"{note}; {muted}" if muted else note)
state.no_data_since = None
return event_id, value, note
return note
def _is_breached(value: float, operator: AlertOperator, threshold: float) -> bool:
@@ -401,26 +396,38 @@ async def _evaluate_rule(
value: float,
now: datetime,
note: str | None = None,
) -> list[tuple[str, str]]:
"""Apply one sample to a rule's state. Returns [(notif_type, event_id)];
an event it records carries `note`."""
resumed: str | None = None,
) -> list[tuple[str, str, str | None]]:
"""Apply one sample to a rule's state. Returns [(notif_type, event_id,
note)]; an event it records carries `note`.
`resumed` says this sample ends a silence. The rule then gets one event
from no_data: to the state the sample moved it to (a "firing"
notification), or back to the state it was in ("data_resumed"). Two
events at one instant used to sort either way round, so the history
could read "back to inactive" right after "firing" (#5442).
"""
from_state = state.state
step = next_step(from_state, state.consecutive_failure_count, state.consecutive_ok_count,
_is_breached(value, rule.operator, rule.threshold),
rule.consecutive_failures_required, rule.consecutive_ok_required)
state.consecutive_failure_count = step.fail_count
state.consecutive_ok_count = step.ok_count
notifications: list[tuple[str, str]] = []
notifications: list[tuple[str, str, str | None]] = []
if step.state != from_state:
state.state = step.state
state.last_transition_at = now
if step.state == AlertStateEnum.inactive:
state.acknowledged_by = None
state.acknowledged_at = None
said = "; ".join(n for n in (resumed, note) if n) or None
if step.event:
event_id = _add_event(session, rule.id, from_state.value, step.event, value, now,
note=note)
notifications.append((step.event, event_id))
event_id = _add_event(session, rule.id, "no_data" if resumed else from_state.value,
step.event, value, now, note=said)
notifications.append((step.event, event_id, None))
elif resumed:
event_id = _add_event(session, rule.id, "no_data", state.state.value, value, now, note=said)
notifications.append(("data_resumed", event_id, resumed))
await session.flush()
return notifications
+44 -13
View File
@@ -2,15 +2,17 @@
samples, an outage does not become its cadence, and a series counts as silent
after three usual gaps (at least five minutes; an hour while its cadence is
unknown)."""
import asyncio
from datetime import datetime, timedelta, timezone
from types import SimpleNamespace as NS
import pytest
from steward.core.alerts import (
NO_DATA_FLOOR_S, NO_DATA_UNKNOWN_S, _track_samples, next_interval, no_data_after, silent_since,
NO_DATA_FLOOR_S, NO_DATA_UNKNOWN_S, _evaluate_rule, _track_samples, next_interval,
no_data_after, silent_since,
)
from steward.models.alerts import AlertStateEnum
from steward.models.alerts import AlertOperator, AlertStateEnum
NOW = datetime(2026, 10, 6, 12, 0, tzinfo=timezone.utc)
@@ -80,10 +82,13 @@ class _Session:
def add(self, row):
self.added.append(row)
async def flush(self):
pass
def _state(**kw):
base = dict(state=AlertStateEnum.firing, last_sample_at=None, sample_interval_s=None,
no_data_since=None)
no_data_since=None, consecutive_failure_count=0, consecutive_ok_count=0)
return NS(**{**base, **kw})
@@ -92,23 +97,49 @@ def _samples(*ago_values):
def test_tracking_learns_the_gap_and_skips_late_samples():
st, session = _state(), _Session()
assert _track_samples(session, NS(id="r"), st, _samples((180, 1), (120, 1), (60, 1)), NOW) is None
st = _state()
assert _track_samples(st, _samples((180, 1), (120, 1), (60, 1)), NOW) is None
assert (st.last_sample_at, st.sample_interval_s) == (NOW - timedelta(seconds=60), 60)
_track_samples(session, NS(id="r"), st, _samples((90, 1)), NOW) # older than the last
_track_samples(st, _samples((90, 1)), NOW) # older than the last
assert (st.last_sample_at, st.sample_interval_s) == (NOW - timedelta(seconds=60), 60)
assert session.added == []
def test_a_sample_after_silence_clears_it_and_records_the_resume():
st, session = _state(last_sample_at=NOW - timedelta(minutes=20), sample_interval_s=60,
no_data_since=NOW - timedelta(minutes=15)), _Session()
event_id, value, note = _track_samples(session, NS(id="r"), st, _samples((0, 42.0)), NOW)
def test_a_sample_after_silence_clears_it_and_says_so():
st = _state(last_sample_at=NOW - timedelta(minutes=20), sample_interval_s=60,
no_data_since=NOW - timedelta(minutes=15))
note = _track_samples(st, _samples((0, 42.0)), NOW)
assert st.no_data_since is None and st.state == AlertStateEnum.firing # still firing
assert st.sample_interval_s == 90 # the outage counted as three gaps, at most
assert value == 42.0 and note == "data resumed after 15m silent"
assert note == "data resumed after 15m silent"
_RULE = NS(id="r", operator=AlertOperator.gt, threshold=90.0,
consecutive_failures_required=1, consecutive_ok_required=1)
@pytest.mark.parametrize("before,value,want_event,want_notice", [
# Back, and breaching: one event, silent to firing (#5442).
(AlertStateEnum.inactive, 95.0, ("no_data", "firing"), "firing"),
# Back, and fine: one event, silent back to how it was.
(AlertStateEnum.inactive, 10.0, ("no_data", "inactive"), "data_resumed"),
# A firing alert that went silent comes back fine: it resolves, from silent.
(AlertStateEnum.firing, 10.0, ("no_data", "resolved"), "resolved"),
# ... or still breaching: it stays firing, and only the resume is news.
(AlertStateEnum.firing, 95.0, ("no_data", "firing"), "data_resumed"),
])
def test_a_resumed_series_gets_one_event_for_what_its_first_sample_did(
before, value, want_event, want_notice):
session, st = _Session(), _state(state=before)
said = "data resumed after 15m silent"
out = asyncio.run(_evaluate_rule(session, _RULE, st, value, NOW, resumed=said))
[event] = session.added
assert (event.id, event.from_state, event.to_state) == (event_id, "no_data", "firing")
assert (event.from_state, event.to_state) == want_event
assert event.note == said and event.transitioned_at == NOW
assert [(n, e) for n, e, _ in out] == [(want_notice, event.id)]
# Without a resume, a sample that changes nothing records nothing.
session = _Session()
assert asyncio.run(_evaluate_rule(session, _RULE, _state(state=st.state), value, NOW)) == []
assert session.added == []
def test_muted_by_names_the_window_that_covers_the_rule():
+12 -7
View File
@@ -104,13 +104,14 @@ def test_silence_is_marked_once_and_cleared_by_data(app):
await asyncio.sleep(0)
st = await state("loud")
assert st.no_data_since is None and st.state == AlertStateEnum.firing
first, *same_instant = await events("loud")
# The resume and the firing it leads to are one event, silent to
# firing: two events at one instant used to sort either way (#5442).
first, back = await events("loud")
assert first[:2] == ("inactive", "no_data")
# The resume and the firing it leads to share the sample's timestamp.
assert sorted(e[:2] for e in same_instant) == [("inactive", "firing"),
("no_data", "inactive")]
assert any((e[2] or "").startswith("data resumed after ") for e in same_instant)
assert [t for _, t, _ in sent if t != "firing"] == ["no_data", "data_resumed"]
assert back[:2] == ("no_data", "firing") and back[2].startswith("data resumed after ")
assert [t for n, t, _ in sent if n == f"loud {tag}"] == ["no_data", "firing"]
# The hushed rule says nothing of silence, but its firing is still news.
assert [t for n, t, _ in sent if n == f"hushed {tag}"] == ["firing"]
# A firing alert that goes silent stays firing, marked.
async with app.db_sessionmaker() as s:
@@ -123,7 +124,7 @@ def test_silence_is_marked_once_and_cleared_by_data(app):
st = await state("loud")
assert st.state == AlertStateEnum.firing and st.no_data_since is not None
assert (await events("loud"))[-1][:2] == ("firing", "no_data")
assert len(await events("hushed")) == 3 # disabled: not watched
assert len(await events("hushed")) == 2 # disabled: not watched
with patch.object(alerts, "_dispatch_notification", fake_dispatch):
asyncio.run(_go())
@@ -138,6 +139,7 @@ def test_a_series_quiet_only_while_steward_was_down_is_not_silent(app):
from steward.core import alerts
from steward.core.watch import watch
from steward.models.alerts import AlertEvent, AlertState
from steward.models.metrics import PluginMetric
from steward.models.users import User, UserRole
sent = []
@@ -154,6 +156,9 @@ def test_a_series_quiet_only_while_steward_was_down_is_not_silent(app):
user = User(username=f"bk-{tag}", email=f"bk-{tag}@test", password_hash="x",
role=UserRole.admin)
s.add(user)
s.add(PluginMetric(source_module="host_agent", resource_name=res,
metric_name="cpu_pct", value=1.0,
recorded_at=now - timedelta(minutes=18)))
await s.flush()
fields = await alert_svc.rule_fields(
s, name=f"back {tag}", source_module="host_agent", resource_name=res,