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FabledSteward/plugins/prometheus/scheduler.py
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bvandeusenandClaude Opus 5.5 3cb2a95054
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feat(prometheus): scrape any /metrics endpoint into Steward's metrics, with pages (#5668, #5669)
A bundled prometheus plugin, on by default like the other protocol plugins.
Targets are rows edited on its page: address, bearer token (encrypted),
interval, keep/leave-out name patterns and a series cap. Steward does the
filtering; the endpoint serves everything (Archives' ruling).

- A 5 s tick scrapes due targets at once, each within a 30 s deadline, and
  writes the outcome to its row and its series through record_metrics, so
  alert rules can watch any of them.
- Gauges are stored as they are; counters (and a histogram's or summary's
  _sum/_count) as <name>_per_sec rates from the second scrape. Buckets and
  quantiles are skipped. A labelled series is stored under
  "<target>:k=v,…". Each target also records is_up, scrape_ms, series_kept
  and series_capped.
- Pages: targets not answering first, with why; a target's series grouped
  by metric with their newest values; a chart per series; the editor with
  Test, which scrapes once and says what would be stored.
- The counter-to-rate keeper moves to steward/core/counter_rates.py; SNMP's
  RateKeeper now scales its rate on top of it.
- metric_value reads Prometheus's _seconds as a span and _per_sec as a rate.
- The catalog guard treats an empty list as a dynamic source (snmp,
  prometheus), as the rule form does.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 07:04:01 -04:00

131 lines
5.5 KiB
Python

# plugins/prometheus/scheduler.py
from __future__ import annotations
import asyncio
import logging
import time
from datetime import datetime, timezone
from typing import TYPE_CHECKING
from sqlalchemy import select
from steward.core.counter_rates import CounterRates
from steward.core.scheduler import ScheduledTask
if TYPE_CHECKING:
from quart import Quart
logger = logging.getLogger(__name__)
# How often the scheduler looks for due targets. A target is scraped within
# one tick of its interval, so this is the cadence's worst-case lateness.
TICK_SECONDS = 5
# A scrape past this is given up, whatever the client's own timeouts did:
# a slow drip of bytes can keep each read inside its timeout for ever.
SCRAPE_DEADLINE_SECONDS = 30
# Counters' previous samples, for their rates.
RATES = CounterRates()
def make_scrape_task(app: "Quart") -> ScheduledTask:
async def tick() -> None:
await scrape_due(app)
return ScheduledTask(name="prometheus_scrape", coro_factory=tick,
interval_seconds=TICK_SECONDS, run_on_startup=True)
def is_due(target, now: datetime) -> bool:
"""Whether a target's interval has elapsed since its last scrape, with
half a tick of slack so tick jitter doesn't push it back a whole tick."""
if not target.enabled:
return False
if target.last_scraped_at is None:
return True
elapsed = (now - target.last_scraped_at).total_seconds()
return elapsed >= target.interval_seconds - TICK_SECONDS / 2
async def scrape_due(app: "Quart", scrape=None) -> None:
"""Scrape every due target at once, then write each one's outcome to its
row and its series to the metric tables. `scrape` stands in for
scraper.scrape in tests."""
from steward.core.crypto import decrypt_secret
from .models import PrometheusTarget
from .scraper import ScrapeError
from .scraper import scrape as fetch
scrape = scrape or fetch
now = datetime.now(timezone.utc)
async with app.db_sessionmaker() as session:
targets = [t for t in (await session.execute(select(PrometheusTarget))).scalars().all()
if is_due(t, now)]
if not targets:
return
async def one(t):
started = time.monotonic()
token = decrypt_secret(t.token, context=f"prometheus target {t.name} token")
try:
families = await asyncio.wait_for(scrape(t.url, token, t.verify_tls),
SCRAPE_DEADLINE_SECONDS)
return families, (time.monotonic() - started) * 1000
except TimeoutError:
return ScrapeError(f"Gave up after {SCRAPE_DEADLINE_SECONDS} s."), \
(time.monotonic() - started) * 1000
except Exception as exc: # noqa: BLE001 — every failure is the target's outcome
return exc, (time.monotonic() - started) * 1000
results = await asyncio.gather(*(one(t) for t in targets))
await record(app, targets, results, datetime.now(timezone.utc))
async def record(app: "Quart", targets, results, now: datetime) -> None:
"""Each target's outcome on its row, and its kept series (counters as
rates) plus its own is_up / scrape_ms / series counts as metrics."""
from steward.core.alerts import MetricBatch
from .models import PrometheusTarget
from .scraper import ScrapeError
from .service import (IS_UP, SCRAPE_MS, SERIES_CAPPED, SERIES_KEPT, SOURCE, map_families)
async with app.db_sessionmaker() as session:
async with session.begin():
batch = MetricBatch()
for target, (result, ms) in zip(targets, results):
row = await session.get(PrometheusTarget, target.id)
if row is None: # deleted while it was being scraped
continue
row.last_scraped_at = now
if isinstance(result, BaseException):
if not isinstance(result, ScrapeError):
logger.warning("Prometheus scrape of %s failed: %r", target.name, result)
row.last_error = str(result) or "The scrape failed."
batch.add(source_module=SOURCE, resource_name=row.name, metric_name=IS_UP,
value=0.0, recorded_at=now)
continue
mapped = map_families(row.name, result, list(row.keep or []), list(row.drop or []),
row.series_cap)
row.last_error = None
row.last_ok_at = now
row.last_kept = len(mapped.series)
row.last_dropped = mapped.dropped
row.last_capped = mapped.capped
for series in mapped.series:
value = series.value
if series.counter:
value = RATES.rate((row.id, series.resource, series.metric), value, now)
if value is None:
continue
batch.add(source_module=SOURCE, resource_name=series.resource,
metric_name=series.metric, value=value, recorded_at=now)
for metric_name, value in [(IS_UP, 1.0), (SCRAPE_MS, ms),
(SERIES_KEPT, len(mapped.series)),
(SERIES_CAPPED, mapped.capped)]:
batch.add(source_module=SOURCE, resource_name=row.name,
metric_name=metric_name, value=value, recorded_at=now)
await batch.record(session)