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>
105 lines
3.1 KiB
TypeScript
105 lines
3.1 KiB
TypeScript
import { useMemo } from 'react';
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import { useGlobalFilters } from '@cameleer/design-system';
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import { useExecutionStats } from '../api/queries/executions';
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import type { Scope } from '../hooks/useScope';
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import styles from './TabKpis.module.css';
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interface TabKpisProps {
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scope: Scope;
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}
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function formatNum(n: number): string {
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if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(1)}M`;
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if (n >= 1_000) return `${(n / 1_000).toFixed(1)}K`;
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return n.toLocaleString();
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}
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function formatMs(ms: number): string {
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if (ms >= 60_000) return `${(ms / 1000).toFixed(0)}s`;
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if (ms >= 1000) return `${(ms / 1000).toFixed(1)}s`;
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return `${Math.round(ms)}ms`;
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}
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function formatPct(pct: number): string {
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return `${pct.toFixed(1)}%`;
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}
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type Trend = 'up' | 'down' | 'flat';
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function trend(current: number, previous: number): Trend {
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if (current > previous) return 'up';
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if (current < previous) return 'down';
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return 'flat';
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}
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function trendArrow(t: Trend): string {
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switch (t) {
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case 'up': return '\u2191';
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case 'down': return '\u2193';
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case 'flat': return '\u2192';
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}
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}
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interface Metric {
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label: string;
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value: string;
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trend: Trend;
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/** Whether "up" is bad (e.g. error rate, latency) */
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upIsBad?: boolean;
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}
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export function TabKpis({ scope }: TabKpisProps) {
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const { timeRange } = useGlobalFilters();
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const timeFrom = timeRange.start.toISOString();
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const timeTo = timeRange.end.toISOString();
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const { data: stats } = useExecutionStats(
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timeFrom, timeTo,
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scope.routeId, scope.appId,
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);
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const metrics: Metric[] = useMemo(() => {
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if (!stats) return [];
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const total = stats.totalCount ?? 0;
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const failed = stats.failedCount ?? 0;
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const prevTotal = stats.prevTotalCount ?? 0;
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const prevFailed = stats.prevFailedCount ?? 0;
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const errorRate = total > 0 ? (failed / total) * 100 : 0;
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const prevErrorRate = prevTotal > 0 ? (prevFailed / prevTotal) * 100 : 0;
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const avgMs = stats.avgDurationMs ?? 0;
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const prevAvgMs = stats.prevAvgDurationMs ?? 0;
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const p99 = stats.p99LatencyMs ?? 0;
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const prevP99 = stats.prevP99LatencyMs ?? 0;
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return [
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{ label: 'Total', value: formatNum(total), trend: trend(total, prevTotal) },
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{ label: 'Err%', value: formatPct(errorRate), trend: trend(errorRate, prevErrorRate), upIsBad: true },
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{ label: 'Avg', value: formatMs(avgMs), trend: trend(avgMs, prevAvgMs), upIsBad: true },
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{ label: 'P99', value: formatMs(p99), trend: trend(p99, prevP99), upIsBad: true },
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];
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}, [stats]);
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if (metrics.length === 0) return null;
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return (
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<div className={styles.kpis}>
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{metrics.map((m) => {
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const arrowClass = m.trend === 'flat'
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? styles.flat
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: (m.trend === 'up') === m.upIsBad
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? styles.bad
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: styles.good;
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return (
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<div key={m.label} className={styles.metric}>
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<span className={styles.label}>{m.label}</span>
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<span className={styles.value}>{m.value}</span>
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<span className={`${styles.arrow} ${arrowClass}`}>{trendArrow(m.trend)}</span>
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</div>
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);
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})}
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</div>
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);
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}
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