[ci] Run CI for #3372 (Date subclassing fix) - #3419
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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: ar_tama <arata.makoto@gmail.com>
… so `Date` subclasses work in workflow functions The VM's `Date` override was a plain function, so `class X extends Date` lost the subclass identity: `super()` returned a fresh plain `Date` that became `this`, dropping the subclass's methods and fields. This silently broke `Date` subclasses like `TZDate` from `@date-fns/tz`. Using `class Date extends Date_` keeps `new.target` intact, and `extends` already wires up the prototype chain and statics, so the manual `prototype` assignment and `Object.setPrototypeOf` fix-ups are no longer needed. Determinism is unchanged: zero-arg construction still returns the fixed timestamp and `Date.now()` is still overridden. Fixes #3371 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: ar_tama <arata.makoto@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: ar_tama <arata.makoto@gmail.com>
Use a plain function that branches on `new.target` and constructs via `Reflect.construct(Date_, args, new.target)` instead of a class: subclassing still works (`new.target` is forwarded), and calling `Date()` without `new` now matches the spec — arguments are ignored and the (fixed) time string is returned, where the previous override returned a `Date` object. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: ar_tama <arata.makoto@gmail.com>
…entation Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: ar_tama <arata.makoto@gmail.com>
🦋 Changeset detectedLatest commit: 4c7cd3c The changes in this PR will be included in the next version bump. This PR includes changesets to release 16 packages
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📊 Workflow Benchmarkscommit Backend:
📈 STSO distribution vs main (inline / queue-hop histograms)1020 steps (inline) Cumulative STSO time: main 153980ms → this run 130414ms (Δ -23566ms, -15%) ℹ️ Metric definitions & methodologyThe collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: Best/P75/P90/P99 deltas compare against the most recent benchmark run on Metrics — TTFS: time to first step body (in-deployment start() → first step body, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window) Scenarios — step: one trivial no-op step, no stream; no hooks, so the run stays in turbo mode (in-process fast path) · stream: one streaming step; no hooks, so the run stays in turbo mode (in-process fast path) · hook + stream: registers a hook before one step, which exits turbo mode (dispatch path) · 1020 steps: 1020 trivial sequential steps; STSO is measured between consecutive steps in the given step ranges, and WO is the whole-run overhead outside step bodies · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost 🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000 All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor ( Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the |
🧪 E2E Test Results✅ All tests passed E2E Test SummarySummary
Details by Category✅ ▲ Vercel Production
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CI-run PR for #3372 (
fix(core): preserve new.target in the deterministic Date override), authored by @ar-tama.Third-party fork PRs don't get full CI here, so this branch points at the exact head commit of the contributor's branch (4c7cd3c — no modifications) to run the suite against it.
new.targetin the deterministicDateoverride soDatesubclasses work #3372.new.targetin the deterministicDateoverride soDatesubclasses work #3372.new.targetin the deterministicDateoverride soDatesubclasses work #3372 is updated, delete this branch and recreate it at the new head.