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* refactor(tooling): group remaining scripts by concrete domain owners * fix(tooling): preserve relocated launcher resource roots
159 lines
6.1 KiB
JavaScript
159 lines
6.1 KiB
JavaScript
#!/usr/bin/env node
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// Compare repeated flatten/find O(rows×ids) against one first-wins index O(rows+ids) on synchronous hydration/reconnect path before first frame.
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// Require identical resolved rows before timing. Run: node config/scripts/hydrate-worktree-lookup-benchmark.mjs
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import { performance } from 'node:perf_hooks'
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const ITERATIONS = Number(process.env.ORCA_HYDRATE_BENCH_ITERATIONS ?? '60')
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const WARMUP = Number(process.env.ORCA_HYDRATE_BENCH_WARMUP ?? '10')
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const ROUNDS = 6
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for (const [name, value] of [
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['ORCA_HYDRATE_BENCH_ITERATIONS', ITERATIONS],
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['ORCA_HYDRATE_BENCH_WARMUP', WARMUP]
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]) {
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if (!Number.isSafeInteger(value) || value <= 0) {
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throw new Error(`${name} must be a positive integer, received ${value}`)
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}
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}
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function resolveByFlatten(worktreesByRepo, ids) {
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const resolved = []
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for (const id of ids) {
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const worktree = Object.values(worktreesByRepo)
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.flat()
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.find((entry) => entry.id === id)
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resolved.push(worktree ? worktree.repoId : null)
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}
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return resolved
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}
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// Post-fix: mirrors buildWorktreeByIdIndex in store/slices/worktree-by-id-index.ts.
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function resolveByIndex(worktreesByRepo, ids) {
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const index = new Map()
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for (const worktrees of Object.values(worktreesByRepo)) {
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for (const worktree of worktrees) {
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if (!index.has(worktree.id)) {
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index.set(worktree.id, worktree)
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}
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}
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}
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const resolved = []
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for (const id of ids) {
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const worktree = index.get(id)
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resolved.push(worktree ? worktree.repoId : null)
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}
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return resolved
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}
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function makeStore(repoCount, worktreesPerRepo) {
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const worktreesByRepo = {}
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for (let repo = 0; repo < repoCount; repo += 1) {
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const repoId = `repo-${repo}`
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worktreesByRepo[repoId] = Array.from({ length: worktreesPerRepo }, (_value, index) => ({
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id: `${repoId}/wt-${index}`,
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repoId,
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path: `/Users/dev/worktrees/${repoId}/wt-${index}`,
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branch: `feature/branch-${index}`
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}))
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}
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// Inject duplicate ID: find is first-wins, so overwrite-on-collision indexes must fail equality check.
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if (repoCount > 1) {
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const [firstRepo, secondRepo] = Object.keys(worktreesByRepo)
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worktreesByRepo[secondRepo] = [
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{ ...worktreesByRepo[firstRepo][0], repoId: secondRepo },
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...worktreesByRepo[secondRepo]
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]
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}
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return worktreesByRepo
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}
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// Cold-start SSH IDs can be absent; misses exercise linear arm’s full-list worst case.
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function makeIds(worktreesByRepo, count) {
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const all = Object.values(worktreesByRepo).flat()
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const ids = Array.from({ length: count }, (_value, index) =>
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index % 7 === 0 ? `absent/wt-${index}` : all[(index * 31) % all.length].id
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)
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// Always look up the duplicated id, so first-wins is exercised, not just present.
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ids[1] = all[0].id
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return ids
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}
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function timeArm(resolve, worktreesByRepo, ids) {
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let sink = 0
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const start = performance.now()
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for (let index = 0; index < ITERATIONS; index += 1) {
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// Consume the result so V8 cannot drop the call as dead.
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sink += resolve(worktreesByRepo, ids).length
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}
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const elapsed = (performance.now() - start) / ITERATIONS
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if (sink === -1) {
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throw new Error('unreachable')
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}
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return elapsed
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}
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function median(samples) {
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const sorted = [...samples].sort((a, b) => a - b)
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const mid = sorted.length / 2
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return (sorted[mid - 1] + sorted[mid]) / 2
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}
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// Arms alternate which one leads so within-round drift cannot favour either.
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function measure(worktreesByRepo, ids) {
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for (let index = 0; index < WARMUP; index += 1) {
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resolveByFlatten(worktreesByRepo, ids)
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resolveByIndex(worktreesByRepo, ids)
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}
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const flattenSamples = []
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const indexSamples = []
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for (let round = 0; round < ROUNDS; round += 1) {
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if (round % 2 === 0) {
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flattenSamples.push(timeArm(resolveByFlatten, worktreesByRepo, ids))
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indexSamples.push(timeArm(resolveByIndex, worktreesByRepo, ids))
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} else {
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indexSamples.push(timeArm(resolveByIndex, worktreesByRepo, ids))
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flattenSamples.push(timeArm(resolveByFlatten, worktreesByRepo, ids))
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}
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}
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return { flattenMs: median(flattenSamples), indexMs: median(indexSamples) }
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}
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const pad = (value, width) => String(value).padStart(width)
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console.log('Session-hydration worktree lookup, per cold start. Lower is better.')
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console.log(`iterations=${ITERATIONS} warmup=${WARMUP} rounds=${ROUNDS} (per-arm medians)`)
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console.log(
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`${pad('repos', 6)} ${pad('worktrees', 10)} ${pad('ids', 5)} ${pad('flatten', 11)} ${pad('indexed', 11)} ${pad('speedup', 9)}`
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)
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// Synthetic shapes approximate heavy-machine scale (10 repos/423 worktrees/188 reconnects); uniform distribution plus duplicate is not a dataset replay.
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for (const [repoCount, worktreesPerRepo, idCount] of [
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[1, 5, 5],
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[3, 20, 20],
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[10, 42, 188],
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[10, 100, 400]
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]) {
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const worktreesByRepo = makeStore(repoCount, worktreesPerRepo)
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const ids = makeIds(worktreesByRepo, idCount)
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const flattenResult = resolveByFlatten(worktreesByRepo, ids)
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const indexResult = resolveByIndex(worktreesByRepo, ids)
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if (JSON.stringify(flattenResult) !== JSON.stringify(indexResult)) {
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throw new Error(`resolution differs at ${repoCount} repos x ${worktreesPerRepo} worktrees`)
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}
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if (!flattenResult.some((value) => value !== null)) {
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throw new Error(`fixture resolved nothing at ${repoCount} repos`)
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}
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if (!flattenResult.some((value) => value === null)) {
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throw new Error(`fixture had no absent ids at ${repoCount} repos`)
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}
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// Count actual rows: injected multi-repo duplicate makes the product off by one.
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const worktreeCount = Object.values(worktreesByRepo).reduce((sum, rows) => sum + rows.length, 0)
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const { flattenMs, indexMs } = measure(worktreesByRepo, ids)
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console.log(
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`${pad(repoCount, 6)} ${pad(worktreeCount, 10)} ${pad(idCount, 5)} ${pad(`${flattenMs.toFixed(4)} ms`, 11)} ${pad(`${indexMs.toFixed(4)} ms`, 11)} ${pad(`${(flattenMs / indexMs).toFixed(1)}x`, 9)}`
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)
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}
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console.log(
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'\nFixtures are synthetic at real-world scale, not a replay of a real session.\nThis times one of the four lookup sites. A one-repo session sees almost nothing;\nthe win scales with worktrees x pending ids, and lands on the cold-start path that\ngates terminal pane mounting.'
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)
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