The full switch: Monitors and Disks read only the sensor API; /api/metrics retired

- stock Monitors modules fed by one sensor stream, the catalog and one batch of
  histories (GET /api/sensors/history?ids=…), through sampleAdapter.ts
- the stream closes while the page is hidden and refills its curves on return
- Disks tab live rates from the stream
- new sensors: hamlab.sample_interval, ups.last_event
- stream: asking for about the sampling rate means every sample
- NUT runtime rounded at the source

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
This commit is contained in:
Mitchell-Johnson
2026-09-19 07:52:14 -07:00
co-authored by Claude Fable 5.1
parent f01175ceca
commit 4ddf10be51
13 changed files with 283 additions and 173 deletions
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// The stock Monitors modules were written against one Sample object. They now read the
// sensor API like everything else; this file is the seam — it rebuilds that object from
// sensor values (the live stream) and sensor metadata (the catalog: labels, thresholds).
import { Sample, Series } from './api'
import { Sensor } from './sensors'
export type Values = Record<string, number | boolean | string>
export type Catalog = Map<string, Sensor>
// Everything the modules draw, as one stream query.
export const MONITOR_SHAPE = { v: '*' }
// The curves they keep: CPU, memory, per-NIC and per-disk rates, every temperature.
export const MONITOR_HISTORY = 'cpu.usage,mem.used,net.*.rx,net.*.tx,disk.*.read,disk.*.write,disk.*.util,temp.*'
const num = (v: Values, id: string) => (typeof v[id] === 'number' ? (v[id] as number) : 0)
const str = (v: Values, id: string) => (typeof v[id] === 'string' ? (v[id] as string) : '')
// Groups ids like net.<x>.rx by the real name in the catalog's labels, keeping catalog order.
function groups(v: Values, cat: Catalog, prefix: string, label: string): Map<string, string> {
const out = new Map<string, string>() // real name → id stem ("net.enp3s0")
for (const id of Object.keys(v)) {
if (!id.startsWith(prefix)) continue
const real = cat.get(id)?.labels?.[label]
if (real && !out.has(real)) out.set(real, id.slice(0, id.lastIndexOf('.')))
}
return new Map([...out].sort((a, b) => a[0].localeCompare(b[0]))) // by real name: "/" leads the filesystems
}
// Every id in the values must be known to the catalog, or the catalog is stale (a disk
// or interface appeared) and wants refetching.
export const stale = (v: Values, cat: Catalog) => Object.keys(v).some((id) => !cat.has(id))
export function sampleOf(v: Values, cat: Catalog): Sample {
const cores = Object.keys(v).map((id) => /^cpu\.core\.(\d+)\.usage$/.exec(id)).filter(Boolean).map((m) => [Number(m![1]), v[m![0]] as number] as const).sort((a, b) => a[0] - b[0]).map((x) => x[1])
const mem = (p: string) => ({ total: num(v, p + '.total'), used: num(v, p + '.used'), avail: num(v, p + '.avail'), free: num(v, p + '.free'), cached: num(v, p + '.cached'), buffers: num(v, p + '.buffers') })
const hw = (prefix: string) => Object.keys(v).filter((id) => id.startsWith(prefix) && cat.get(id)?.labels?.chip !== undefined).map((id) => ({ id, s: cat.get(id)! }))
.sort((a, b) => a.s.labels!.chip.localeCompare(b.s.labels!.chip) || a.s.labels!.label.localeCompare(b.s.labels!.label))
return {
t: Date.now(), interval_ms: num(v, 'hamlab.sample_interval'),
cpu: num(v, 'cpu.usage'), cores, load: [num(v, 'load.1'), num(v, 'load.5'), num(v, 'load.15')],
mem: mem('mem'), swap: mem('swap'), uptime: num(v, 'uptime'),
temps: hw('temp.').map(({ id, s }) => ({ chip: s.labels!.chip, label: s.labels!.label, c: num(v, id), max: s.warn, crit: s.crit })),
fans: hw('fan.').map(({ id, s }) => ({ chip: s.labels!.chip, label: s.labels!.label, rpm: num(v, id) })),
net: [...groups(v, cat, 'net.', 'iface')].map(([iface, p]) => ({ iface, up: v[p + '.up'] === true, rx_bps: num(v, p + '.rx'), tx_bps: num(v, p + '.tx'), rx_total: num(v, p + '.rx_total'), tx_total: num(v, p + '.tx_total') })),
disks: [...groups(v, cat, 'disk.', 'device')].map(([name, p]) => ({ name, model: cat.get(p + '.size')?.labels?.model || undefined, size: num(v, p + '.size'), read_bps: num(v, p + '.read'), write_bps: num(v, p + '.write'), util_pct: num(v, p + '.util'), temp: num(v, p + '.temp') || undefined })),
fs: [...groups(v, cat, 'fs.', 'mount')].map(([mount, p]) => ({ mount, type: cat.get(p + '.size')?.labels?.fstype ?? '', size: num(v, p + '.size'), used: num(v, p + '.used') })),
ups: v['ups.battery'] === undefined ? null : {
driver: cat.get('ups.last_event')?.labels?.driver ?? '', model: cat.get('ups.battery')?.labels?.model ?? '', state: str(v, 'ups.state'), source: str(v, 'ups.source'),
on_battery: v['ups.on_battery'] === true, in_v: num(v, 'ups.in_v'), out_v: num(v, 'ups.out_v'), battery_pct: num(v, 'ups.battery'), runtime_min: num(v, 'ups.runtime'),
load_w: num(v, 'ups.load'), load_pct: num(v, 'ups.load_pct'), last_event: str(v, 'ups.last_event') || undefined,
},
}
}
// The modules' history: one shared time axis (the CPU's), every other curve right-aligned
// to it and zero-padded on the left where the sensor is younger than the ring.
export function seriesOf(hist: { id: string; t: number[]; v: number[] }[], cat: Catalog): Series {
const by = new Map(hist.map((h) => [h.id, h]))
const t = by.get('cpu.usage')?.t ?? []
const n = t.length
const fit = (id: string) => { const v = (by.get(id)?.v ?? []).slice(-n); return [...new Array(Math.max(0, n - v.length)).fill(0), ...v] as number[] }
const out: Series = { t: [...t], cpu: fit('cpu.usage'), mem: fit('mem.used'), net: {}, disk: {}, temp: {} }
for (const h of hist) {
const l = cat.get(h.id)?.labels
const stem = h.id.slice(0, h.id.lastIndexOf('.'))
if (h.id.startsWith('net.') && l?.iface) out.net[l.iface] ??= { rx: fit(stem + '.rx'), tx: fit(stem + '.tx') }
else if (h.id.startsWith('disk.') && l?.device) out.disk[l.device] ??= { r: fit(stem + '.read'), w: fit(stem + '.write'), u: fit(stem + '.util') }
else if (h.id.startsWith('temp.') && l?.chip !== undefined) out.temp[`${l.chip}/${l.label}`] = fit(h.id)
}
return out
}