GitNexus/gitnexus/scripts/cross-platform-shard.ts
azizur100389 bf7dcf98ca
feat(analyze): add incremental watch mode (#3072)
* feat(analyze): add incremental watch mode

* fix(watch): harden control file reads

* fix(watch): contain refresh errors and bound reads

* fix(watch): stream strict control file reads

* fix(watch): harden refresh recovery and lifecycle

* fix(watch): report ignored repository defaults

* fix(analyze): preserve signal exit semantics

* style(analyze): format signal exit helper

* test(config): exercise descriptor growth guard

* test(watch): await source event before rename

* fix(watch): keep live-index retries honest and ignore analyzer writes

Hold retry backoff when events merge, stop only after a live-index mutation, skip .gitnexus self-writes, and reject the remaining one-shot watch flags. Export impact-risk scoring from gitnexus-shared so consumers can share the same scale.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(watch): contain queue edge cases after review

Preserve overflow-only refreshes, contain synchronous refresh failures, and mark successful atomic publication before later operations can fail.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Gergo Magyar <gergomagyar0@gmail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Gergő Magyar <gergomagyar@icloud.com>
2026-08-29 10:40:56 +00:00

155 lines
7.5 KiB
TypeScript

/**
* Weight-aware partitioning for the cross-platform test matrix.
*
* WHY THIS EXISTS. `run-cross-platform.ts` used to hand vitest the whole file
* list plus `--shard=i/n`, and vitest partitions by file COUNT. Runtime on this
* suite is wildly uneven — measured on the Windows runner, `cli-e2e` is 621 s
* and `worker-pool` 221 s, while most files are under a second — so a
* count-split routinely put several of the heaviest suites on one shard. That
* is #2449, and this file's sibling header has documented the symptom ("the
* heaviest spawn suites can cluster on one shard") since the watchdog was first
* raised from 15 to 20 minutes.
*
* It went from a latent hazard to a red matrix when three CHEAP files (the
* `dist/` module-load closure guards: 448 ms, 53 ms, sub-second) were added to
* `SPAWN_CLI`. They cost nothing to run, but a count-split re-partitions on
* every insertion, and the reshuffle happened to land `cli-e2e` + `cli-limit-e2e`
* + `analyze-heap-oom-e2e` together on shard 1/3 — 32 files against 26 and 29 —
* which blew the 20-minute budget with four files still queued. Nothing about
* the added files caused it; they were simply the perturbation.
*
* So the split is done HERE, by weight, and only the chosen shard's files are
* handed to vitest. Two properties follow, and both are pinned in
* `test/unit/cross-platform-shard.test.ts`:
*
* - the heaviest suites are spread across shards by construction, so the
* busiest shard tracks the ideal rather than the luck of the sort order;
* - adding or removing a CHEAP file cannot move a heavy one, so registering a
* new platform-sensitive test is no longer a CI-stability gamble. That is the
* property whose absence caused this.
*/
/**
* Measured wall-clock on the WINDOWS runner (the slowest platform, so it is the
* one that decides the budget), in seconds, from the last fully-green matrix run
* plus the timed files of the run that failed.
*
* Only files heavy enough to matter are listed; everything else is carried by
* {@link PER_FILE_OVERHEAD_SEC} alone. These are load-balancing hints, NOT
* assertions — no
* test asserts a runtime, and drift only makes the split slightly less even, so
* a stale entry is harmless and refreshing them is optional. Deliberately not
* auto-generated: a committed table is reviewable and works offline, and the
* alternative (timing files at CI runtime to decide the split) would make the
* partition depend on the very machine load it is trying to protect against.
*/
export const WINDOWS_WEIGHTS_SEC: Readonly<Record<string, number>> = {
// Re-measured after the analyze --watch e2e landed in #3072. The previous
// 361 s entry undercharged this suite and left shard 1 close to the watchdog.
'test/integration/cli-e2e.test.ts': 621,
'test/integration/worker-pool.test.ts': 222,
'test/unit/incremental-vector-extension-ordering.test.ts': 87,
// ESTIMATE, not a measurement (#2841): this suite drives more full
// `runFullAnalysis` cycles than the VECTOR sibling above, so the 8 s
// PER_FILE_OVERHEAD floor would badly under-charge it and skew the Windows
// split — the failure mode that produced the job timeouts this table exists
// to prevent. Scaled from the sibling's measured 87 s by analyze-run count.
// Replace with a real figure after the first green Windows matrix run.
'test/unit/incremental-index-extension-dml-gate.test.ts': 180,
'test/integration/cli-limit-e2e.test.ts': 75,
'test/unit/hooks.test.ts': 26,
'test/integration/analyze-heap-oom-e2e.test.ts': 23,
'test/unit/git-utils.test.ts': 18,
'test/integration/hooks-e2e.test.ts': 15,
'test/integration/tree-sitter-languages.test.ts': 9,
'test/unit/repo-manager.test.ts': 9,
'test/unit/detect-changes-worktree.test.ts': 9,
'test/integration/antigravity-hook-e2e.test.ts': 7,
'test/unit/index-lock.test.ts': 5,
'test/unit/setup.test.ts': 5,
// ESTIMATE, not a measurement. This file asserts almost nothing; it READS —
// one 4893-file pass over every tracked text file, plus an 830-file pass over
// `src/`. Measured at 2.3 s and 0.3 s per pass on a virtualised and a local
// Linux filesystem respectively, so the cost is entirely per-file open
// latency, which is the term Windows inflates most (NTFS plus Defender on
// every read). Scaled from the slower Linux figure to keep the split
// conservative rather than let the 8 s PER_FILE_OVERHEAD floor under-charge
// a file that touches more paths than anything else here. Replace with a real
// figure after the first green Windows matrix run.
'test/unit/source-control-bytes.test.ts': 15,
};
/**
* Fixed cost every file pays regardless of what it asserts: a pool worker start,
* module graph evaluation, and (for most of this list) a native addon load.
*
* Added to EVERY file's weight, not just unmeasured ones, and that is the point.
* Calibrated against the last green Windows matrix: its busiest shard ran 736 s
* of wall clock over ~511 s of measured file time, so roughly 8 s per file is
* unattributed setup. Without this term the balancer treats a light file as
* nearly free and, having isolated the two monsters, piles every remaining file
* onto the other shards — trading a runtime imbalance for a file-count one that
* costs just as much. With it, the split balances runtime AND count together.
*/
const PER_FILE_OVERHEAD_SEC = 8;
/**
* Scheduling weight for `file`: its measured runtime (0 if it was fast enough
* that vitest printed no duration) plus the per-file floor above.
*/
export function weightOf(file: string): number {
return (WINDOWS_WEIGHTS_SEC[file] ?? 0) + PER_FILE_OVERHEAD_SEC;
}
/**
* Partition `files` into `total` shards and return the 1-based `index` one.
*
* Longest-processing-time first: sort by weight descending, then repeatedly give
* the next file to the lightest shard so far. LPT is the standard greedy for
* multiprocessor scheduling and is guaranteed within 4/3 of optimal — far more
* than enough here, where the goal is only "no shard gets two monsters".
*
* Ties break on the file path so the partition is DETERMINISTIC: every shard
* computes the same split independently, on a different machine, with no
* coordination — which is what lets each runner select its own slice.
*
* Returns files in the input list's original order, not weight order, so failure
* output and reruns stay readable.
*/
export function shardFiles(
files: readonly string[],
index: number,
total: number,
): readonly string[] {
if (!Number.isInteger(total) || total < 1) {
throw new Error(`shard total must be a positive integer, got ${total}`);
}
if (!Number.isInteger(index) || index < 1 || index > total) {
throw new Error(`shard index must be in 1..${total}, got ${index}`);
}
if (total === 1) return [...files];
const byWeightDesc = [...files].sort((a, b) => {
const diff = weightOf(b) - weightOf(a);
return diff !== 0 ? diff : a.localeCompare(b);
});
const loads = Array.from({ length: total }, () => 0);
const assigned = Array.from({ length: total }, () => new Set<string>());
for (const file of byWeightDesc) {
let lightest = 0;
for (let i = 1; i < total; i++) {
if (loads[i]! < loads[lightest]!) lightest = i;
}
assigned[lightest]!.add(file);
loads[lightest]! += weightOf(file);
}
const mine = assigned[index - 1]!;
return files.filter((f) => mine.has(f));
}
/** Total weight of a file set — the shard cost this balancer is minimising. */
export function shardWeight(files: readonly string[]): number {
return files.reduce((sum, f) => sum + weightOf(f), 0);
}