fix: 收敛 Performance summary 观测契约 (#1647)
This commit is contained in:
Lyon
@@ -1,4 +1,4 @@
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// SPEC: PJ2026-01060505 Workbench Performance draft-2026-06-17-p0
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// SPEC: PJ2026-01060505 Workbench Performance draft-2026-06-19-p0
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// Verifies the Workbench RUM metrics contract and Prometheus label privacy boundary.
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import assert from "node:assert/strict";
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@@ -49,8 +49,9 @@ test("web performance summary exposes user-perceived route latency without high-
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assert.ok(summary.dashboard.trends.some((trend) => trend.id === "api-timing" && trend.points.length > 0));
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assert.ok(summary.dashboard.topN.some((group) => group.id === "top-api" && group.rows.length > 0));
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assert.ok(summary.apiRoutes.some((row) => row.route === "/v1/agent/chat/result/:id" && row.metric === "api_request" && row.p95 >= 2.5));
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assert.ok(summary.problems.some((row) => row.problem === "timeout" && row.tone === "blocked"));
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assert.ok(summary.longTasks.some((row) => row.metric === "long_task" && row.problem === "slow-long_task" && row.tone !== "ok"));
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assert.ok(summary.problems.some((row) => row.outcome === "timeout" && row.problem === "low-sample" && row.tone === "source" && row.sourceFamily === "rum_api_timing" && row.aggregationKind === "exact" && row.approximation === "exact"));
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assert.ok(summary.longTasks.some((row) => row.metric === "long_task" && row.problem === "low-sample" && row.tone === "source"));
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assert.ok(summary.rows.every((row) => row.windowFrom && row.windowTo && row.generatedAt && row.aggregationKind === "exact" && row.approximation === "exact"));
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assert.doesNotMatch(json, /trc_secret|sessionId|conversationId|threadId|prompt|api key/iu);
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});
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@@ -82,10 +83,13 @@ test("web performance summary filters rows by requested recent window", () => {
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assert.equal(recent.sampleWindow.id, "5m");
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assert.equal(recent.summary.sampleCount, 1);
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assert.equal(recent.apiRoutes[0].p95, 0.5);
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assert.equal(recent.apiRoutes[0].p95, 0.32);
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assert.equal(recent.apiRoutes[0].aggregationKind, "exact");
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assert.equal(recent.apiRoutes[0].approximation, "exact");
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assert.equal(all.sampleWindow.id, "all");
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assert.equal(all.summary.sampleCount, 2);
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assert.equal(all.apiRoutes[0].p95, 5);
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assert.equal(all.apiRoutes[0].p95, 2.6);
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assert.equal(all.sampleWindow.windowFrom, null);
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assert.doesNotMatch(recentJson, /trc_old_secret|trc_new_secret|traceId|prompt|api key/iu);
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assert.doesNotMatch(allJson, /trc_old_secret|trc_new_secret|traceId|prompt|api key/iu);
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});
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@@ -1,4 +1,4 @@
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// SPEC: PJ2026-01060505 Workbench Performance draft-2026-06-17-p0
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// SPEC: PJ2026-01060505 Workbench Performance draft-2026-06-19-p0
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// Keeps browser-reported performance metrics low-cardinality before Prometheus export.
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import { emitWorkbenchUiOtelSpan } from "./otel-trace.ts";
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@@ -173,6 +173,15 @@ interface PerformanceSummaryRow {
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p75: number;
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p95: number;
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unit: "seconds" | "score";
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sourceFamily?: string;
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windowFrom?: string | null;
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windowTo?: string;
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generatedAt?: string;
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sampleCount?: number;
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freshness?: "fresh" | "low-sample" | "empty";
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aggregationKind?: "exact" | "histogram";
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approximation?: "exact" | "bucketed";
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bucketBoundaries?: number[];
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tone: "ok" | "warn" | "blocked" | "source";
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problem: string;
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lowSample?: boolean;
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@@ -431,17 +440,21 @@ export function createWebPerformanceStore(options: WebPerformanceStoreOptions =
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function summary(input: { window?: unknown } = {}) {
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const sampleWindow = resolvePerformanceSummaryWindow(input.window);
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const aggregate = aggregateForWindow(sampleWindow);
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const durationRows = histogramSummaryRows(aggregate.durationSeries, DURATION_BUCKETS_SECONDS, "seconds");
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const clsRows = histogramSummaryRows(aggregate.clsSeries, CLS_BUCKETS, "score");
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const generatedAtMs = now();
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const observedAt = new Date(generatedAtMs).toISOString();
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const windowBounds = performanceSummaryWindowBounds(sampleWindow, generatedAtMs, observedAt);
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const aggregate = aggregateForWindow(sampleWindow, generatedAtMs);
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const exactStats = exactStatsForSamples(samplesForWindow(sampleWindow, generatedAtMs, samples));
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const durationRows = applySummaryContract(histogramSummaryRows(aggregate.durationSeries, DURATION_BUCKETS_SECONDS, "seconds"), exactStats, windowBounds);
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const clsRows = applySummaryContract(histogramSummaryRows(aggregate.clsSeries, CLS_BUCKETS, "score"), exactStats, windowBounds);
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const rows = [...durationRows, ...clsRows];
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const workbenchJourneys = workbenchJourneySummaryRows(aggregate.journeyDurationSeries, WORKBENCH_JOURNEY_BUCKETS_SECONDS)
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const workbenchJourneys = applySummaryContract(workbenchJourneySummaryRows(aggregate.journeyDurationSeries, WORKBENCH_JOURNEY_BUCKETS_SECONDS), exactStats, windowBounds)
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.sort(sortByProblemThenP95)
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.slice(0, 24);
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const workbenchEventPhases = workbenchEventPhaseSummaryRows(aggregate.eventPhaseSeries, WORKBENCH_EVENT_PHASE_BUCKETS_SECONDS)
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const workbenchEventPhases = applySummaryContract(workbenchEventPhaseSummaryRows(aggregate.eventPhaseSeries, WORKBENCH_EVENT_PHASE_BUCKETS_SECONDS), exactStats, windowBounds)
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.sort(sortByProblemThenP95)
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.slice(0, 24);
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const workbenchBackendEvents = workbenchBackendEventVisibleSummaryRows(aggregate.backendEventVisibleSeries, WORKBENCH_JOURNEY_BUCKETS_SECONDS)
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const workbenchBackendEvents = applySummaryContract(workbenchBackendEventVisibleSummaryRows(aggregate.backendEventVisibleSeries, WORKBENCH_JOURNEY_BUCKETS_SECONDS), exactStats, windowBounds)
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.sort(sortByProblemThenP95)
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.slice(0, 24);
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const workbenchRows = [...workbenchJourneys, ...workbenchEventPhases, ...workbenchBackendEvents];
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@@ -483,9 +496,13 @@ export function createWebPerformanceStore(options: WebPerformanceStoreOptions =
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lowSampleThreshold: LOW_SAMPLE_THRESHOLD,
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window: sampleWindow.id,
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windowLabel: sampleWindow.label,
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windowSeconds: sampleWindow.milliseconds === null ? null : Math.round(sampleWindow.milliseconds / 1000)
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windowSeconds: sampleWindow.milliseconds === null ? null : Math.round(sampleWindow.milliseconds / 1000),
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windowFrom: windowBounds.windowFrom,
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windowTo: windowBounds.windowTo,
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generatedAt: observedAt,
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aggregationKind: "exact",
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approximation: "exact"
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};
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const observedAt = new Date().toISOString();
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const dashboard = buildPerformanceDashboard({
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observedAt,
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source: "cloud-api-rum-store",
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@@ -513,7 +530,12 @@ export function createWebPerformanceStore(options: WebPerformanceStoreOptions =
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sampleWindow: {
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id: sampleWindow.id,
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label: sampleWindow.label,
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seconds: sampleWindow.milliseconds === null ? null : Math.round(sampleWindow.milliseconds / 1000)
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seconds: sampleWindow.milliseconds === null ? null : Math.round(sampleWindow.milliseconds / 1000),
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windowFrom: windowBounds.windowFrom,
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windowTo: windowBounds.windowTo,
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generatedAt: observedAt,
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aggregationKind: "exact",
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approximation: "exact"
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},
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summary: summaryInfo,
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dashboard,
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@@ -549,13 +571,9 @@ export function createWebPerformanceStore(options: WebPerformanceStoreOptions =
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};
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}
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function aggregateForWindow(sampleWindow: PerformanceSummaryWindow): PerformanceAggregate {
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if (sampleWindow.milliseconds === null) return { durationSeries, clsSeries, sampleSeries, journeyDurationSeries, journeyTotalSeries, eventPhaseSeries, backendEventVisibleSeries, workbenchUiEventSeries, workbenchUiEventTotalSeries };
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function aggregateForWindow(sampleWindow: PerformanceSummaryWindow, generatedAtMs = now()): PerformanceAggregate {
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const aggregate = createPerformanceAggregate();
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const cutoff = now() - sampleWindow.milliseconds;
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for (const sample of samples) {
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if (sample.atMs >= cutoff) recordSampleIntoAggregate(aggregate, sample);
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}
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for (const sample of samplesForWindow(sampleWindow, generatedAtMs, samples)) recordSampleIntoAggregate(aggregate, sample);
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return aggregate;
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}
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@@ -604,12 +622,25 @@ function recordSampleIntoAggregate(aggregate: PerformanceAggregate, sample: Reco
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recordHistogram(aggregate.backendEventVisibleSeries, sample.labels, sample.value, WORKBENCH_JOURNEY_BUCKETS_SECONDS, Number.MAX_SAFE_INTEGER);
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}
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function samplesForWindow(samplesWindow: PerformanceSummaryWindow, generatedAtMs: number, retainedSamples: RecordedPerformanceSample[] = []) {
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const source = retainedSamples.length ? retainedSamples : [];
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if (samplesWindow.milliseconds === null) return source.slice();
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const cutoff = generatedAtMs - samplesWindow.milliseconds;
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return source.filter((sample) => sample.atMs >= cutoff && sample.atMs <= generatedAtMs);
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}
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function resolvePerformanceSummaryWindow(input: unknown): PerformanceSummaryWindow {
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const key = String(input ?? DEFAULT_SUMMARY_WINDOW).trim().toLowerCase();
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if (Object.prototype.hasOwnProperty.call(PERFORMANCE_SUMMARY_WINDOWS, key)) return PERFORMANCE_SUMMARY_WINDOWS[key as keyof typeof PERFORMANCE_SUMMARY_WINDOWS];
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return PERFORMANCE_SUMMARY_WINDOWS[DEFAULT_SUMMARY_WINDOW];
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}
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function performanceSummaryWindowBounds(sampleWindow: PerformanceSummaryWindow, generatedAtMs: number, generatedAt: string) {
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const windowTo = generatedAt;
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const windowFrom = sampleWindow.milliseconds === null ? null : new Date(Math.max(0, generatedAtMs - sampleWindow.milliseconds)).toISOString();
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return { windowFrom, windowTo, generatedAt };
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}
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export async function handleWebPerformanceIngestHttp(request, response, options = {}) {
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const body = await readBody(request, options.bodyLimitBytes ?? DEFAULT_WEB_PERFORMANCE_BODY_LIMIT_BYTES);
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let payload;
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@@ -856,6 +887,181 @@ function histogramSummaryRows(series: Map<string, HistogramSeries>, buckets: num
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});
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}
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function exactStatsForSamples(windowSamples: RecordedPerformanceSample[]) {
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const grouped = new Map<string, { values: number[] }>();
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for (const sample of windowSamples) {
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const identity = summaryRowIdentityForSample(sample);
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if (!identity) continue;
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const key = summaryRowKey(identity);
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let entry = grouped.get(key);
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if (!entry) {
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entry = { values: [] };
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grouped.set(key, entry);
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}
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entry.values.push(sample.value);
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}
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const stats = new Map<string, { count: number; average: number; p50: number; p75: number; p95: number }>();
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for (const [key, entry] of grouped.entries()) stats.set(key, exactStats(entry.values));
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return stats;
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}
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function exactStats(values: number[]) {
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const sorted = values.filter(Number.isFinite).sort((left, right) => left - right);
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const count = sorted.length;
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const average = count > 0 ? sorted.reduce((sum, value) => sum + value, 0) / count : 0;
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return {
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count,
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average: roundMetric(average),
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p50: roundMetric(exactQuantile(sorted, 0.5)),
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p75: roundMetric(exactQuantile(sorted, 0.75)),
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p95: roundMetric(exactQuantile(sorted, 0.95))
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};
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}
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function exactQuantile(sortedValues: number[], quantile: number) {
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if (sortedValues.length <= 0) return 0;
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const index = Math.min(sortedValues.length - 1, Math.max(0, Math.ceil(sortedValues.length * quantile) - 1));
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return sortedValues[index] ?? 0;
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}
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function applySummaryContract(rows: PerformanceSummaryRow[], exactStatsByRow: Map<string, { count: number; average: number; p50: number; p75: number; p95: number }>, windowBounds: { windowFrom: string | null; windowTo: string; generatedAt: string }) {
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return rows.map((row) => {
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const exact = exactStatsByRow.get(summaryRowKey(row));
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const count = exact?.count ?? row.count;
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const p95 = exact?.p95 ?? row.p95;
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const nextRow = {
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...row,
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...(exact ? { count, average: exact.average, p50: exact.p50, p75: exact.p75, p95 } : {}),
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sampleCount: count,
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sourceFamily: sourceFamilyForRow(row),
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windowFrom: windowBounds.windowFrom,
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windowTo: windowBounds.windowTo,
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generatedAt: windowBounds.generatedAt,
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freshness: sampleFreshness(count),
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aggregationKind: exact ? "exact" : "histogram",
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approximation: exact ? "exact" : "bucketed",
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bucketBoundaries: exact ? undefined : bucketBoundariesForRow(row),
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lowSample: count > 0 && count < LOW_SAMPLE_THRESHOLD,
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sampleState: sampleState(count)
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};
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const tone = summaryToneForRow(nextRow, p95, count);
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return { ...nextRow, tone, problem: summaryProblemForRow(nextRow, p95, count, tone) };
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});
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}
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function summaryRowIdentityForSample(sample: RecordedPerformanceSample): Record<string, unknown> | null {
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const labels = sample.labels;
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if (sample.series === "web_duration" || sample.series === "layout_shift") {
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return {
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kind: labels.kind,
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metric: labels.metric,
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route: labels.route,
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method: labels.method,
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statusClass: labels.status_class,
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outcome: labels.outcome
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};
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}
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if (sample.series === "workbench_journey") {
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return {
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kind: "workbench_journey",
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metric: labels.journey,
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route: labels.route,
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method: "-",
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statusClass: "-",
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outcome: labels.outcome,
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backend: labels.backend,
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transport: labels.transport,
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targetState: labels.target_state,
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cache: labels.cache,
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source: labels.source,
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entry: labels.entry,
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authState: labels.auth_state
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};
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}
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if (sample.series === "workbench_event_phase") {
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return {
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kind: "workbench_event_phase",
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metric: labels.phase,
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route: "workbench-events",
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method: "-",
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statusClass: "-",
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outcome: labels.outcome,
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backend: labels.backend,
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transport: labels.transport,
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eventType: labels.event_type,
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phase: labels.phase
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};
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}
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if (sample.series === "workbench_backend_event_visible") {
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return {
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kind: "workbench_backend_event_visible",
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metric: "backend_event_to_visible",
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route: "workbench-events",
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method: "-",
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statusClass: "-",
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outcome: labels.outcome,
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backend: labels.backend,
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transport: labels.transport,
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eventType: labels.event_type
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};
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}
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return null;
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}
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function summaryRowKey(row: Record<string, unknown>) {
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const fields = ["kind", "metric", "route", "method", "statusClass", "outcome", "backend", "transport", "targetState", "cache", "source", "entry", "authState", "eventType", "phase"];
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const labels: Record<string, string> = {};
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for (const field of fields) labels[field] = String(row[field] ?? "");
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return stableLabelKey(labels);
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}
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function summaryToneForRow(row: PerformanceSummaryRow, p95: number, count: number): "ok" | "warn" | "blocked" | "source" {
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if (count <= 0 || count < LOW_SAMPLE_THRESHOLD) return "source";
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if (row.kind === "workbench_journey") {
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const threshold = workbenchJourneyThreshold(row.metric);
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return workbenchTone(row.outcome, p95, count, threshold.warn, threshold.blocked);
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}
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if (row.kind === "workbench_event_phase") {
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const threshold = workbenchEventPhaseThreshold(row.metric);
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return workbenchTone(row.outcome, p95, count, threshold.warn, threshold.blocked);
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}
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if (row.kind === "workbench_backend_event_visible") {
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const threshold = workbenchJourneyThreshold("backend_event_to_visible");
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return workbenchTone(row.outcome, p95, count, threshold.warn, threshold.blocked);
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}
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return performanceTone({ metric: row.metric, outcome: row.outcome, status_class: row.statusClass }, p95, count, row.unit === "score" ? "score" : "seconds");
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}
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function summaryProblemForRow(row: PerformanceSummaryRow, p95: number, count: number, tone: string) {
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if (count <= 0) return "no-sample";
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if (count < LOW_SAMPLE_THRESHOLD) return "low-sample";
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if (row.kind === "workbench_journey" || row.kind === "workbench_event_phase" || row.kind === "workbench_backend_event_visible") return workbenchProblem(row.outcome, row.metric, count, tone);
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return performanceProblem({ metric: row.metric, outcome: row.outcome, status_class: row.statusClass }, p95, count, row.unit === "score" ? "score" : "seconds", tone);
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}
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function sourceFamilyForRow(row: PerformanceSummaryRow) {
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if (row.kind === "api") return "rum_api_timing";
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if (row.kind === "web_vital") return "rum_web_vitals";
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if (row.kind === "navigation") return "rum_navigation";
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if (row.kind === "long_task") return "rum_long_task";
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if (row.kind === "workbench_journey") return "workbench_journey";
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if (row.kind === "workbench_event_phase") return "workbench_event_phase";
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if (row.kind === "workbench_backend_event_visible") return "workbench_backend_event_visible";
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return "unknown";
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}
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function sampleFreshness(count: number): "fresh" | "low-sample" | "empty" {
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if (count <= 0) return "empty";
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return count < LOW_SAMPLE_THRESHOLD ? "low-sample" : "fresh";
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}
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function bucketBoundariesForRow(row: PerformanceSummaryRow) {
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if (row.unit === "score") return CLS_BUCKETS;
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if (row.kind === "workbench_event_phase") return WORKBENCH_EVENT_PHASE_BUCKETS_SECONDS;
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if (row.kind === "workbench_journey" || row.kind === "workbench_backend_event_visible") return WORKBENCH_JOURNEY_BUCKETS_SECONDS;
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return DURATION_BUCKETS_SECONDS;
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}
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function workbenchJourneySummaryRows(series: Map<string, HistogramSeries>, buckets: number[]): PerformanceSummaryRow[] {
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return [...series.values()].map((entry) => {
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const labels = entry.labels;
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@@ -1096,6 +1302,11 @@ function buildPerformanceDashboard(input: {
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id: input.sampleWindow.id,
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label: input.sampleWindow.label,
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seconds: input.sampleWindow.milliseconds === null ? null : Math.round(input.sampleWindow.milliseconds / 1000),
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windowFrom: input.summary.windowFrom ?? null,
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windowTo: input.summary.windowTo ?? input.observedAt,
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generatedAt: input.summary.generatedAt ?? input.observedAt,
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aggregationKind: input.summary.aggregationKind ?? "exact",
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approximation: input.summary.approximation ?? "exact",
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bucketKind: "snapshot",
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buckets: [{ id: input.sampleWindow.id, label: input.sampleWindow.label, observedAt: input.observedAt, sampleCount }]
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},
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@@ -1106,7 +1317,12 @@ function buildPerformanceDashboard(input: {
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gitopsTarget: input.gitopsTarget,
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status,
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statusLabel: dashboardStatusLabel(status),
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lowSampleThreshold: numberField(input.summary.lowSampleThreshold)
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lowSampleThreshold: numberField(input.summary.lowSampleThreshold),
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generatedAt: input.summary.generatedAt ?? input.observedAt,
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windowFrom: input.summary.windowFrom ?? null,
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windowTo: input.summary.windowTo ?? input.observedAt,
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sampleCount,
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||||
sourceFamily: "mixed"
|
||||
},
|
||||
cards: [
|
||||
{ id: "health", label: "采集状态", value: dashboardStatusLabel(status), unit: "状态", tone: dashboardTone(status), detail: input.source },
|
||||
|
||||
@@ -332,6 +332,15 @@ export interface WebPerformanceRow extends Record<string, unknown> {
|
||||
p75?: number;
|
||||
p95?: number;
|
||||
unit?: "seconds" | "score" | string;
|
||||
sourceFamily?: string;
|
||||
windowFrom?: string | null;
|
||||
windowTo?: string;
|
||||
generatedAt?: string;
|
||||
sampleCount?: number;
|
||||
freshness?: "fresh" | "low-sample" | "empty" | string;
|
||||
aggregationKind?: "exact" | "histogram" | string;
|
||||
approximation?: "exact" | "bucketed" | string;
|
||||
bucketBoundaries?: number[];
|
||||
tone?: "ok" | "warn" | "blocked" | "pending" | string;
|
||||
problem?: string;
|
||||
lowSample?: boolean;
|
||||
@@ -353,6 +362,11 @@ export interface WebPerformanceSampleWindow extends Record<string, unknown> {
|
||||
id?: WebPerformanceWindow | string;
|
||||
label?: string;
|
||||
seconds?: number | null;
|
||||
windowFrom?: string | null;
|
||||
windowTo?: string;
|
||||
generatedAt?: string;
|
||||
aggregationKind?: "exact" | "histogram" | string;
|
||||
approximation?: "exact" | "bucketed" | string;
|
||||
}
|
||||
|
||||
export interface WebPerformanceDashboardPoint extends Record<string, unknown> {
|
||||
@@ -419,7 +433,7 @@ export interface WebPerformanceDashboard extends Record<string, unknown> {
|
||||
schemaVersion?: string;
|
||||
generatedAt?: string;
|
||||
sampleWindow?: WebPerformanceSampleWindow & { bucketKind?: string; buckets?: Array<Record<string, unknown>>; [key: string]: unknown };
|
||||
freshness?: { observedAt?: string; source?: string; namespace?: string; gitopsTarget?: string; status?: string; statusLabel?: string; lowSampleThreshold?: number; [key: string]: unknown };
|
||||
freshness?: { observedAt?: string; source?: string; namespace?: string; gitopsTarget?: string; status?: string; statusLabel?: string; lowSampleThreshold?: number; generatedAt?: string; windowFrom?: string | null; windowTo?: string; sampleCount?: number; sourceFamily?: string; [key: string]: unknown };
|
||||
cards?: WebPerformanceDashboardCard[];
|
||||
trends?: WebPerformanceDashboardTrend[];
|
||||
distributions?: WebPerformanceDashboardDistribution[];
|
||||
@@ -433,7 +447,7 @@ export interface WebPerformanceSummaryResponse {
|
||||
namespace?: string;
|
||||
gitopsTarget?: string;
|
||||
sampleWindow?: WebPerformanceSampleWindow;
|
||||
summary?: { sampleCount?: number; sampleSeries?: number; durationSeries?: number; clsSeries?: number; routeCount?: number; problemCount?: number; status?: string; lowSampleThreshold?: number; window?: WebPerformanceWindow | string; windowLabel?: string; windowSeconds?: number | null; [key: string]: unknown };
|
||||
summary?: { sampleCount?: number; sampleSeries?: number; durationSeries?: number; clsSeries?: number; routeCount?: number; problemCount?: number; status?: string; lowSampleThreshold?: number; window?: WebPerformanceWindow | string; windowLabel?: string; windowSeconds?: number | null; windowFrom?: string | null; windowTo?: string; generatedAt?: string; aggregationKind?: "exact" | "histogram" | string; approximation?: "exact" | "bucketed" | string; [key: string]: unknown };
|
||||
dashboard?: WebPerformanceDashboard;
|
||||
apiRoutes?: WebPerformanceRow[];
|
||||
webVitals?: WebPerformanceRow[];
|
||||
|
||||
Reference in New Issue
Block a user