Files
terdut-server/internal/web/static/js/statsalert.js
T
Niklas Ye 6235a2f737 Drill into a single alert from the stats page
The stats page could only say how many alerts fired. It now answers when
one alert fires, how often, and how fast it is picked up and fixed: each
row of the top-alerts list opens /stats/alert/{name}, with a timeline,
by-hour and by-weekday charts, time-to-resolve per occurrence and a table
of every occurrence linking to its incident. The overview gains a
weekday-by-hour heatmap and a few derived observations.

An occurrence is an incident, not an alert row. Alert rows are reused per
fingerprint and mutated in place, so they carry no history; incidents are
the only record of each time something fired and was answered. That means
/api/stats/alerts/top now counts incidents opened (filtered on
triggered_at) so the list and the drilldown agree. The response keeps name
and count and only adds fields, so existing clients keep working, but the
counts can differ from before.

No migration: the lookups use incidents_signature_idx. Label breakdown,
team and severity filters and period-over-period deltas from the design
draft are left for later.

Claude-Session: https://claude.ai/code/session_016mBLURvJoMuUEr9cB2RpUN
2026-10-18 21:55:16 +02:00

137 lines
7.0 KiB
JavaScript

// The drilldown behind a row of the stats page's top-alerts list: when one
// alert fired, how fast it was picked up and fixed. An occurrence is an
// incident that alert opened (alert rows carry no history of their own).
import * as api from './api.js';
import { h, emptyState, spinner } from './ui.js';
import { duration } from './format.js';
import { chips, card, columns, rangeQuery, pad2, WEEKDAYS, MONDAY_FIRST } from './charts.js';
const sec = (s) => (s == null ? '—' : duration(s * 1000));
const fmtTime = (unix) => {
const d = new Date(unix * 1000);
const mon = d.toLocaleString('en', { month: 'short', timeZone: 'UTC' });
return `${mon} ${d.getUTCDate()}, ${pad2(d.getUTCHours())}:${pad2(d.getUTCMinutes())}`;
};
export const path = (name) => `/stats/alert/${encodeURIComponent(name)}`;
export async function load(name) {
return api.statsAlert(name, rangeQuery());
}
function tiles(d) {
const tile = (label, value, note) => h('div', { class: 'stat-tile' },
h('div', { class: 'stat-value', text: String(value) }),
h('div', { class: 'stat-label', text: label }),
note && h('div', { class: 'stat-note', text: note }));
return h('div', { class: 'stat-tiles' },
tile('Occurrences', d.count),
tile('Last seen', fmtTime(d.last_seen), 'UTC'),
tile('Average gap', d.mean_gap_seconds == null ? '—' : sec(d.mean_gap_seconds), 'between occurrences'),
tile('Mean time to acknowledge', sec(d.mean_ack_seconds), d.median_ack_seconds == null ? '' : `median ${sec(d.median_ack_seconds)}`),
tile('Mean time to resolve', sec(d.mean_resolve_seconds), d.median_resolve_seconds == null ? '' : `median ${sec(d.median_resolve_seconds)}`),
tile('Longest open', sec(d.longest_open_seconds)));
}
// Plain-language observations, derived from the same occurrences.
function patterns(d) {
const n = d.count;
const out = [];
const sunday = d.by_weekday[0];
const top = d.by_weekday.indexOf(Math.max(...d.by_weekday));
if (n > 1 && d.by_weekday[top] > n / 2) out.push(`${d.by_weekday[top]} of ${n} fired on a ${['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'][top]}`);
else if (sunday > 0 && n > 1) out.push(`${sunday} of ${n} fired on a Sunday`);
const peak = d.by_hour.indexOf(Math.max(...d.by_hour));
if (n > 1 && d.by_hour[peak] > 1) out.push(`Peak hour is ${pad2(peak)}:00 UTC (${d.by_hour[peak]} of ${n})`);
const times = d.occurrences.map((o) => o.triggered_at).sort((a, b) => a - b);
const repeats = times.filter((t, i) => i > 0 && t - times[i - 1] < 86400).length;
if (repeats) out.push(`${repeats} of ${n} fired again within 24 hours of the previous one`);
return out;
}
function patternStrip(d) {
const items = patterns(d);
if (!items.length) return null;
return h('div', { class: 'pattern-strip card card-pad' },
h('span', { class: 'chart-title', text: 'Pattern' }),
items.map((t) => h('span', { text: t })));
}
// One block per occurrence along a time axis from the first to the last, as wide
// as the incident stayed open. Overlaps drop to a second lane.
function timeline(d) {
const occ = [...d.occurrences].sort((a, b) => a.triggered_at - b.triggered_at);
const start = occ[0].triggered_at;
const end = Math.max(...occ.map((o) => o.triggered_at + (o.resolve_seconds || 0)), start + 3600);
const span = end - start;
let prev = -100;
const marks = occ.map((o) => {
const left = ((o.triggered_at - start) / span) * 100;
const lane = left - prev < 1.5 ? 1 : 0;
prev = left;
const m = h('div', {
class: 'tl-mark',
title: `${fmtTime(o.triggered_at)} UTC · ${o.resolve_seconds == null ? 'still open' : `open for ${sec(o.resolve_seconds)}`}`,
});
m.style.left = `${left}%`;
m.style.width = `${((o.resolve_seconds || 0) / span) * 100}%`;
m.style.top = `${8 + lane * 22}px`;
return m;
});
return h('div', {},
h('div', { class: 'tl', role: 'img', 'aria-label': `Timeline of ${occ.length} occurrences between ${fmtTime(start)} and ${fmtTime(end)} UTC.` }, marks),
h('div', { class: 'tl-axis' },
h('span', { text: fmtTime(start) }), h('span', { text: fmtTime(end) })));
}
// Per occurrence: the wait for an acknowledgement, then the time being worked.
function fixBars(d) {
const rows = d.occurrences.filter((o) => o.resolve_seconds != null).slice(0, 12);
if (!rows.length) return h('p', { class: 'chart-note', text: 'Nothing resolved in this range.' });
const max = Math.max(...rows.map((o) => o.resolve_seconds), 1);
return h('div', { class: 'fixbars' }, rows.map((o) => {
const ack = Math.min(o.ack_seconds ?? 0, o.resolve_seconds);
const a = h('span', { class: 'fix-ack', title: `Waiting for acknowledgement: ${sec(ack)}` });
const w = h('span', { class: 'fix-work', title: `Being worked: ${sec(o.resolve_seconds - ack)}` });
a.style.width = `${(ack / max) * 100}%`;
w.style.width = `${((o.resolve_seconds - ack) / max) * 100}%`;
return h('div', { class: 'fix-row' },
h('span', { class: 'fix-label', text: fmtTime(o.triggered_at) }),
h('span', { class: 'fix-track' }, a, w),
h('span', { class: 'fix-total', text: sec(o.resolve_seconds) }));
}));
}
function table(d) {
return h('div', { class: 'occ-wrap' },
h('table', { class: 'occ' },
h('thead', {}, h('tr', {}, ['Fired (UTC)', 'Time to ack', 'Duration', 'Acknowledged by', 'Status'].map((t) => h('th', { text: t })))),
h('tbody', {}, d.occurrences.map((o) => h('tr', {},
h('td', {}, h('a', { href: `/incidents/${o.incident_id}`, text: fmtTime(o.triggered_at) }),
` ${WEEKDAYS[new Date(o.triggered_at * 1000).getUTCDay()]}`),
h('td', { text: sec(o.ack_seconds) }),
h('td', { text: sec(o.resolve_seconds) }),
h('td', { text: o.acknowledged_by || '—' }),
h('td', { text: o.status }))))));
}
export function body(name, d, error, onRange) {
const head = h('div', { class: 'stats-head' },
h('a', { class: 'btn btn-ghost', href: '/stats', text: '← Stats' }),
h('h2', { class: 'stats-alert-name', text: name }),
chips(onRange));
if (error && !d) return h('div', {}, head, h('div', { class: 'load-error', text: error }));
if (!d) return h('div', {}, head, spinner());
if (d === 'none') return h('div', {}, head, emptyState('No occurrences in this range', 'This alert did not open an incident in this window.', 'chart'));
return h('div', {}, head, h('div', { class: 'stats' },
error && h('div', { class: 'load-error', text: `Showing older data: ${error}` }),
tiles(d),
patternStrip(d),
card('When it fired', timeline(d), 'Each block spans how long the incident stayed open'),
card('By hour (UTC)', columns(d.by_hour.map((v, hr) => ({ label: pad2(hr), value: v, tick: hr % 6 === 0 })), 'Occurrences by hour of day')),
card('By weekday', columns(MONDAY_FIRST.map((w) => ({ label: WEEKDAYS[w], value: d.by_weekday[w], tick: true })), 'Occurrences by weekday')),
card('Time to resolve', fixBars(d), 'Amber waited for an acknowledgement; blue was worked'),
card('All occurrences', table(d), `Newest first${d.count > d.occurrences.length ? `, latest ${d.occurrences.length} of ${d.count}` : ''}`)));
}