feat(ui): add compact KPI metrics in tab bar (Total, Err%, Avg, P99)
New TabKpis component shows scope-aware metrics with trend arrows aligned right in the content tab bar. Each metric shows current value and an arrow indicating change vs previous period (green=good, red=bad). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
104
ui/src/components/TabKpis.tsx
Normal file
104
ui/src/components/TabKpis.tsx
Normal file
@@ -0,0 +1,104 @@
|
||||
import { useMemo } from 'react';
|
||||
import { useGlobalFilters } from '@cameleer/design-system';
|
||||
import { useExecutionStats } from '../api/queries/executions';
|
||||
import type { Scope } from '../hooks/useScope';
|
||||
import styles from './TabKpis.module.css';
|
||||
|
||||
interface TabKpisProps {
|
||||
scope: Scope;
|
||||
}
|
||||
|
||||
function formatNum(n: number): string {
|
||||
if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(1)}M`;
|
||||
if (n >= 1_000) return `${(n / 1_000).toFixed(1)}K`;
|
||||
return n.toLocaleString();
|
||||
}
|
||||
|
||||
function formatMs(ms: number): string {
|
||||
if (ms >= 60_000) return `${(ms / 1000).toFixed(0)}s`;
|
||||
if (ms >= 1000) return `${(ms / 1000).toFixed(1)}s`;
|
||||
return `${Math.round(ms)}ms`;
|
||||
}
|
||||
|
||||
function formatPct(pct: number): string {
|
||||
return `${pct.toFixed(1)}%`;
|
||||
}
|
||||
|
||||
type Trend = 'up' | 'down' | 'flat';
|
||||
|
||||
function trend(current: number, previous: number): Trend {
|
||||
if (current > previous) return 'up';
|
||||
if (current < previous) return 'down';
|
||||
return 'flat';
|
||||
}
|
||||
|
||||
function trendArrow(t: Trend): string {
|
||||
switch (t) {
|
||||
case 'up': return '\u2191';
|
||||
case 'down': return '\u2193';
|
||||
case 'flat': return '\u2192';
|
||||
}
|
||||
}
|
||||
|
||||
interface Metric {
|
||||
label: string;
|
||||
value: string;
|
||||
trend: Trend;
|
||||
/** Whether "up" is bad (e.g. error rate, latency) */
|
||||
upIsBad?: boolean;
|
||||
}
|
||||
|
||||
export function TabKpis({ scope }: TabKpisProps) {
|
||||
const { timeRange } = useGlobalFilters();
|
||||
const timeFrom = timeRange.start.toISOString();
|
||||
const timeTo = timeRange.end.toISOString();
|
||||
|
||||
const { data: stats } = useExecutionStats(
|
||||
timeFrom, timeTo,
|
||||
scope.routeId, scope.appId,
|
||||
);
|
||||
|
||||
const metrics: Metric[] = useMemo(() => {
|
||||
if (!stats) return [];
|
||||
|
||||
const total = stats.totalCount ?? 0;
|
||||
const failed = stats.failedCount ?? 0;
|
||||
const prevTotal = stats.prevTotalCount ?? 0;
|
||||
const prevFailed = stats.prevFailedCount ?? 0;
|
||||
const errorRate = total > 0 ? (failed / total) * 100 : 0;
|
||||
const prevErrorRate = prevTotal > 0 ? (prevFailed / prevTotal) * 100 : 0;
|
||||
const avgMs = stats.avgDurationMs ?? 0;
|
||||
const prevAvgMs = stats.prevAvgDurationMs ?? 0;
|
||||
const p99 = stats.p99LatencyMs ?? 0;
|
||||
const prevP99 = stats.prevP99LatencyMs ?? 0;
|
||||
|
||||
return [
|
||||
{ label: 'Total', value: formatNum(total), trend: trend(total, prevTotal) },
|
||||
{ label: 'Err%', value: formatPct(errorRate), trend: trend(errorRate, prevErrorRate), upIsBad: true },
|
||||
{ label: 'Avg', value: formatMs(avgMs), trend: trend(avgMs, prevAvgMs), upIsBad: true },
|
||||
{ label: 'P99', value: formatMs(p99), trend: trend(p99, prevP99), upIsBad: true },
|
||||
];
|
||||
}, [stats]);
|
||||
|
||||
if (metrics.length === 0) return null;
|
||||
|
||||
return (
|
||||
<div className={styles.kpis}>
|
||||
{metrics.map((m) => {
|
||||
const arrowClass = m.trend === 'flat'
|
||||
? styles.flat
|
||||
: (m.trend === 'up') === m.upIsBad
|
||||
? styles.bad
|
||||
: styles.good;
|
||||
|
||||
return (
|
||||
<div key={m.label} className={styles.metric}>
|
||||
<span className={styles.label}>{m.label}</span>
|
||||
<span className={styles.value}>{m.value}</span>
|
||||
<span className={`${styles.arrow} ${arrowClass}`}>{trendArrow(m.trend)}</span>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
Reference in New Issue
Block a user