feat(traefik): keep each router's 4xx and 5xx responses by status code (#5711)
The scraper folded traefik_service_requests_total{code} into two shares and
dropped the code, so a problem couldn't say whether it was scanners (404), a
login wall (401/403) or the app down (502/503/504). Each scrape now stores the
responses per router and code that occurred (traefik_status_codes, migration
traefik_006), pruned with the router metrics and left out of backups (System
180 ruling: Traefik history is not backed up). A problem card lists its codes
over the last 15 minutes, most first, or says none occurred, or that codes
aren't recorded yet.
A counter series new since the previous scrape now counts from 0 instead of
being skipped: Traefik creates a router's 502 series at its first 502, so a
first burst of 5xx read as 0% until it happened again.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
@@ -13,7 +13,7 @@ from steward.models.users import UserRole
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from steward.core.time_range import parse_range, DEFAULT_RANGE, bucket_seconds, subsample, time_bucket
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from steward.core.formatting import cert_left, status_class
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from steward.models.metrics import PluginMetricLatest
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from .models import TraefikAccessSummary, TraefikCert, TraefikGlobalStat, TraefikMetric
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from .models import TraefikAccessSummary, TraefikCert, TraefikGlobalStat, TraefikMetric, TraefikStatusCode
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from .scheduler import router_domains
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from .scraper import cert_names, covers
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@@ -110,6 +110,25 @@ async def recent_window(db, names: list[str], now: datetime) -> dict[str, Simple
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return out
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async def status_codes(db, names: list[str], since: datetime) -> dict[str, list[tuple[str, int]]]:
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"""{router: [(code, responses), …]} for the 4xx and 5xx codes each router
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answered since `since`, most first (#5711). A router with none is absent."""
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if not names:
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return {}
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total = func.sum(TraefikStatusCode.count)
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rows = (await db.execute(
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select(TraefikStatusCode.router_name, TraefikStatusCode.code, total.label("n"))
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.where(TraefikStatusCode.router_name.in_(names))
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.where(TraefikStatusCode.scraped_at >= since)
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.group_by(TraefikStatusCode.router_name, TraefikStatusCode.code)
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.order_by(TraefikStatusCode.router_name, total.desc(), TraefikStatusCode.code)
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)).all()
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out: dict[str, list[tuple[str, int]]] = {}
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for r in rows:
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out.setdefault(r.router_name, []).append((r.code, int(r.n)))
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return out
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def grade_routers(routers: list[dict], window: dict, thresholds: dict) -> None:
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"""Set each router's state and why from its recent window, or from its
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latest scrape when the window holds nothing."""
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@@ -284,6 +303,15 @@ async def rows():
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r["sparkline_4xx"] = _sparkline([p.error_rate_4xx_pct for p in points])
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r["sparkline_5xx"] = _sparkline([p.error_rate_5xx_pct for p in points])
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phases.mark("sparklines")
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# The codes behind each problem, over the window it is graded on.
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codes = await status_codes(db, [r["name"] for r in current if r["state"] != "ok"], now - STATE_WINDOW)
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for r in current:
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r["codes"] = codes.get(r["name"], [])
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# Codes are kept from #5711 on: until the first of them is a window
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# old, a router with none listed may simply predate the recording.
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first_code = await db.scalar(select(func.min(TraefikStatusCode.scraped_at)))
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codes_known = first_code is not None and first_code <= now - STATE_WINDOW
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phases.mark("codes")
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# Latest global stat (always most recent, not range-filtered)
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result = await db.execute(
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@@ -329,6 +357,7 @@ async def rows():
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healthy=healthy,
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gone=gone,
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current_range=range_key,
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codes_known=codes_known,
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error_4xx=error_4xx,
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error_5xx=error_5xx,
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global_stat=global_stat,
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