feat(host_agent): a temperature sensor is judged by how it moves against the CPU (#5783)
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A board's spare thermistor inputs report whatever an open input reads, and
the value rule from #5759 only catches the impossible ones. Once an hour,
sensors.refresh judges each sensor against the host's CPU (Package id N,
Tctl/Tdie/TccdN, PECI Agent N) over a week of hourly averages. A sensor is
ruled out if it falls as the CPU warms (r <= -0.5) or holds within 0.5 °C
while the CPU moved 10 °C or more. A judgment needs at least 72 shared hours.

The host temperature leaves judged sensors out at ingest. The host page
lists them under "Not counted", with each reason given once.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-14 21:24:34 -04:00
co-authored by Claude Opus 5.5
parent 72e754b580
commit 0b29cdf26c
9 changed files with 283 additions and 19 deletions
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"""Which of a host's temperature sensors are thermometers (#5783).
A board's spare thermistor inputs often have nothing wired to them, and the
kernel reports them anyway. No flag says so; their behaviour does. A
thermometer in a host warms as its CPU warms. An open input reads the chip's
own reference, which drifts the other way as the chip warms, or holds still:
VDNT-Util01's SYSTIN ran at r = −0.81 against its CPU package over a week,
while CPUTIN beside it ran at +0.83 (#5782).
So each sensor is judged against the host's CPU over its hourly averages, by
a scheduled task, and the verdicts are kept here for ingest and the pages to
read. Until a host has enough history, or when its CPU never moved enough to
tell, nothing is judged and routes.counts_as_hottest's value rule decides.
"""
from __future__ import annotations
import logging
import re
from datetime import datetime, timedelta
from math import sqrt
logger = logging.getLogger(__name__)
# Hours of history judged, the shared hours a verdict needs, and how far the
# CPU must have moved in them for "it didn't follow" to mean anything.
WINDOW = timedelta(days=7)
MIN_HOURS = 72
REFERENCE_SWING_C = 10.0
# Falling as the CPU warms, this strongly, is no thermometer's behaviour.
# A wired board or drive sensor may barely follow the CPU (r near 0), so
# only a clear negative counts, not a weak one.
FALLS_R = -0.5
# Held within this over days while the CPU moved: a constant, not a reading.
FLAT_C = 0.5
# The host's CPU, in order of preference: Intel coretemp's package, AMD
# k10temp's control/die/CCD readings, then the PECI agent.
_REFERENCES = (re.compile(r"^Package id \d+$", re.I), re.compile(r"^(Tctl|Tdie)$", re.I),
re.compile(r"^Tccd\d+$", re.I), re.compile(r"^PECI Agent \d+$", re.I))
# {host name: {sensor label: why it isn't a thermometer}}, from the last refresh.
_unwired: dict[str, dict[str, str]] = {}
def unwired(host_name: str) -> dict[str, str]:
"""The sensors judged not to be thermometers on a host, with why."""
return _unwired.get(host_name, {})
def reference_label(labels) -> str | None:
"""The sensor that reads the host's CPU, or None when it has none."""
labels = sorted(labels)
for pattern in _REFERENCES:
found = [label for label in labels if pattern.match(label)]
if found:
return found[0]
return None
def pearson(xs: list[float], ys: list[float]) -> float | None:
"""Pearson's r, or None when either series doesn't move."""
n = len(xs)
mx, my = sum(xs) / n, sum(ys) / n
sxx = sum((x - mx) ** 2 for x in xs)
syy = sum((y - my) ** 2 for y in ys)
if sxx == 0 or syy == 0:
return None
return sum((x - mx) * (y - my) for x, y in zip(xs, ys)) / sqrt(sxx * syy)
def judge(reference: dict[datetime, float], sensor: dict[datetime, float]) -> str | None:
"""Why `sensor` isn't a thermometer, judged against the host's CPU over
the hours both have; None when it behaves like one, or when there isn't
enough to tell (too few hours, or a CPU that never moved)."""
hours = sorted(set(reference) & set(sensor))
if len(hours) < MIN_HOURS:
return None
cpu = [reference[h] for h in hours]
got = [sensor[h] for h in hours]
if max(cpu) - min(cpu) < REFERENCE_SWING_C:
return None
if max(got) - min(got) < FLAT_C:
return f"holds at {sum(got) / len(got):.0f} °C while the CPU moved {min(cpu):.0f}–{max(cpu):.0f} °C"
r = pearson(cpu, got)
if r is not None and r <= FALLS_R:
return f"falls as the CPU warms (r {r:.2f} over {len(hours)} h)"
return None
def judge_hosts(rows) -> dict[str, dict[str, str]]:
"""{host: {label: why}} from hourly rows of (resource, bucket, value_avg),
where resource is "<host>:temp:<label>"."""
series: dict[str, dict[str, dict[datetime, float]]] = {}
for resource, bucket, value in rows:
host, sep, label = resource.partition(":temp:")
if sep and value is not None:
series.setdefault(host, {}).setdefault(label, {})[bucket] = value
out: dict[str, dict[str, str]] = {}
for host, sensors in series.items():
ref = reference_label(sensors)
if ref is None:
continue
for label, points in sensors.items():
if label == ref:
continue
why = judge(sensors[ref], points)
if why:
out.setdefault(host, {})[label] = why
return out
async def refresh(session, now: datetime) -> dict[str, dict[str, str]]:
"""Re-judge every host's sensors from the last WINDOW of hourly averages,
and keep the verdicts for ingest and the pages."""
global _unwired
from sqlalchemy import select
from steward.models.metrics import PluginMetricHourly as H
rows = (await session.execute(
select(H.resource_name, H.bucket, H.value_avg)
.where(H.source_module == "host_agent", H.metric_name == "temp_c",
H.resource_name.like("%:temp:%"), H.bucket >= now - WINDOW))).all()
_unwired = judge_hosts(rows)
return _unwired