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https://github.com/misskey-dev/misskey.git
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98ae62c432
* docs: design backend diagnostics memory noise handling * chore(gh): tweak workflow * docs: clarify shared heap snapshot reporting * docs: plan backend diagnostics memory noise handling * chore: ignore local worktrees * feat(diagnostics): add independent delta summary * feat(diagnostics): make heap snapshot deltas noise-aware * docs: correct heap snapshot threshold plan * fix(diagnostics): suppress backend memory noise * ci: refine backend diagnostics sampling * test(diagnostics): address final review * wip * Update heap-snapshot-sampling.ts * wip * wip * docs: design frontend metric noise reporting * docs: plan frontend metric noise reporting * fix(diagnostics): suppress frontend metric noise * docs: remove temporary frontend metric plans * test(diagnostics): cover frontend metric thresholds * docs: design shared diagnostics metric table * docs: plan shared diagnostics metric table * refactor(diagnostics): simplify independent delta statistics * feat(diagnostics): add shared metric table renderer * refactor(diagnostics): use shared heap snapshot table * refactor(diagnostics): use shared backend metric table * refactor(diagnostics): use shared frontend metric table * docs: remove temporary metric table plans * tweak * docs: design metric table no-data output * fix(diagnostics): show marker for empty metric tables * chore: remove temporary diagnostics design
43 lines
1.4 KiB
TypeScript
43 lines
1.4 KiB
TypeScript
/*
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* SPDX-FileCopyrightText: syuilo and misskey-project
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* SPDX-License-Identifier: AGPL-3.0-only
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*/
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import { describe, expect, test } from 'vitest';
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import {
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clampHeapSnapshotRounds,
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selectRepresentativeHeapSnapshotRound,
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shouldCollectHeapSnapshot,
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} from '../src/heap-snapshot-sampling';
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describe('heap snapshot sampling', () => {
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test('collects only the final requested rounds', () => {
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const selected = Array.from({ length: 15 }, (_, index) => index + 1)
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.filter(round => shouldCollectHeapSnapshot(round, 15, 3));
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expect(selected).toStrictEqual([13, 14, 15]);
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});
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test('clamps the requested count to the measured round count', () => {
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expect(clampHeapSnapshotRounds(5, 20)).toBe(5);
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expect(Array.from({ length: 5 }, (_, index) => index + 1)
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.filter(round => shouldCollectHeapSnapshot(round, 5, 20)))
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.toStrictEqual([1, 2, 3, 4, 5]);
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});
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test('collects no snapshots when the effective count is zero', () => {
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expect(Array.from({ length: 5 }, (_, index) => index + 1)
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.filter(round => shouldCollectHeapSnapshot(round, 5, 0)))
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.toStrictEqual([]);
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});
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test('selects the snapshot nearest the median and ignores missing rounds', () => {
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const samples = [
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{ round: 12, total: null },
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{ round: 13, total: 100 },
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{ round: 14, total: 110 },
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{ round: 15, total: 130 },
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];
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expect(selectRepresentativeHeapSnapshotRound(samples, 110, sample => sample.total)).toBe(14);
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});
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});
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