feat(timeline): maintenance, reboots, deploys, crash-loops and reviewed anomalies on the timeline (#6349)
CI / lint (push) Successful in 2s
CI / unit (push) Successful in 1m36s
CI / integration (push) Successful in 1m52s
CI / publish (push) Successful in 1m12s

The host agent writes each maintenance job once it ends, and each stretch a
host was away (a reboot, a crash, lost contact, the agent restarting), kept up
to date until it is back. Docker judges each snapshot: a unit on a new image,
or a container recreated, is a deploy; deaths past the Thresholds crash-loop
count are one crash-loop entry that later deaths extend; single restarts are
recorded but hidden. An anomaly has one entry whose type follows its review:
only those judged real are shown by default.

A source whose record changes keeps one entry for it (record_or_update).
Plugins register the records their entries point to, so an aged-out job or
downtime reads "Details no longer kept". The first fill runs once per source
(timeline.filled), the host agent's jobs and downtime included.

get_anomaly's "what else was going on" reads the timeline for the host or
resource instead of querying alerts, runs, maintenance, downtime and container
deaths itself; Docker's own source keeps only starts, stops and health
changes. A new kind, Observed, is for what Steward saw happen with no rule or
person behind it.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-24 17:21:44 -04:00
co-authored by Claude Opus 5.5
parent 8b42a6a865
commit 2b97c36fd4
23 changed files with 884 additions and 219 deletions
+6 -3
View File
@@ -34,6 +34,9 @@ def setup(app: "Quart") -> None:
from steward.core.cleanup import prune_by_age
from .models import HostDowntime
prune_by_age(HostDowntime.started_at)
# Maintenance runs and the stretches a host was away go on the timeline.
from .timeline import register as register_timeline
register_timeline()
def get_audit_entities() -> dict:
@@ -62,9 +65,9 @@ async def mcp_overview(db) -> list[dict]:
return await findings(db)
async def mcp_events(db, host_id: str, host_name: str, since, until) -> list[dict]:
from .mcp_tools import mcp_events as events
return await events(db, host_id, host_name, since, until)
async def timeline_backfill(session, since) -> list:
from .timeline import backfill
return await backfill(session, since)
def get_alert_metrics() -> dict[str, list[str]]: