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feat(gcp-cloud-run): Google Cloud Run + Workflows distributed render adapter (#1253)
* feat(gcp-cloud-run): add Google Cloud Run + Workflows distributed render adapter Adds @hyperframes/gcp-cloud-run, the GCP counterpart to @hyperframes/aws-lambda (issue #932). The OSS distributed primitives (plan, renderChunk x N, assemble) are unchanged; this package is the storage/compute/orchestration glue. Package: Cloud Run handler (one image, three actions), runs under bun; GCS transport; in-image chrome-headless-shell resolver; client SDK (renderToCloudRun, getRenderProgress, deploySite, computeRenderCost); Dockerfile; Cloud Workflows definition; Terraform module; CLI cloudrun deploy|sites|render|render-batch|progress|destroy with --output-resolution and --strict-variables; 62 unit tests + docs + live smoke script. Shared extraction (removes ~640 lines of adapter duplication): move the cloud-agnostic config validator + content-hash into producer/distributed; both adapters import them. Validated end-to-end on GCP at 37.4 dB PSNR vs baseline. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(cli): resolve @hyperframes/gcp-cloud-run in the CLI build + root build The CLI bundle (esbuild) couldn't resolve `@hyperframes/gcp-cloud-run/sdk`, failing Build/Typecheck/CLI-smoke (and the perf/windows/regression jobs that build first). Mirror the aws-lambda handling: mark the gcp adapter + its /sdk subpath external in tsup.config.ts with a source alias, and add gcp-cloud-run to the root `build` filter so its dist exists for publish + runtime. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(ci): copy gcp-cloud-run manifest in Dockerfile.test for frozen install The regression test image runs `bun install --frozen-lockfile` after copying each workspace package.json individually. The CLI now depends on @hyperframes/gcp-cloud-run (workspace:*), so the frozen install fails to resolve it unless its manifest is present. Add the COPY line. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(cli): add machine-sizing flags to `cloudrun deploy` Closes the parity gap with `lambda deploy` (which exposes --memory etc.). `cloudrun deploy` now threads --cpu, --memory, --max-instances, and --timeout into the Terraform apply; omitted flags keep the module defaults (4 vCPU / 16Gi / 100 instances / 3600s). For finer control, apply the module directly. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(gcp-cloud-run): address PR review (security, waste, limits, alerts) - server.ts: bucket-allowlist guard no longer fails open silently. Unset env logs a one-time WARNING; "*" is an explicit opt-out; otherwise it enforces. - server.ts: stop double-shipping audio.aac. It already rides in the plan tarball every consumer downloads, so drop the redundant standalone upload (plan) + re-download/overwrite (assemble); assemble reads it from the untar, falling back to a supplied AudioGcsUri for compat. - server.ts: chunk extension via path.extname() instead of slice(lastIndexOf). - workflow.yaml: clamp parallel concurrency_limit to math.min(chunkCount, 20) — Cloud Workflows hard-caps concurrent iterations at 20. - Dockerfile: pin bun (bun-v1.3.9) so an interop change can't silently break the image rebuild. - terraform: add min_instances var (default 0); add a workflow-failure alert (finished_execution_count status=FAILED) alongside the request-count one. - costAccounting: document that displayCost excludes GCS storage/egress. Verified against the actual APIs: @google-cloud/workflows@4.4.0 ICreateExecutionRequest has no executionId (so the idempotency-token suggestion isn't available in this client); Workflows concurrency cap is 20; failure metric is workflows.googleapis.com/finished_execution_count (status label). 174 adapter tests pass, fallow/oxlint/oxfmt/terraform clean. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(gcp-cloud-run): address round-2 review — error code + CFR forwarding - workflow.yaml: rename the zero-chunk failure code PLAN_TOO_LARGE → PLAN_PRODUCED_ZERO_CHUNKS. The old code implied a size-ceiling breach (the opposite cause), misleading anyone triaging the alert. - workflow.yaml: forward Config.cfr to the assemble step (`Cfr: ${("cfr" in config) and config.cfr}`). It was read by the handler but never sent, so exact-CFR was silently off for every Cloud Run render. Uses the same `in`-operator guard already proven in the retryable predicate. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(release): include gcp-cloud-run in set-version PACKAGES list set-version.ts (driven by release:prepare) bumps an explicit package list to the shared version on each release. gcp-cloud-run was wired into the build + publish.yml but missing here, so a release would leave it at a stale version and publish.yml would push the wrong version. Add it so the new package version-bumps + publishes in lockstep with the others. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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co-authored by
Claude Opus 4.8
parent
806b226b34
commit
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/**
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* In-memory `@google-cloud/storage` stand-in for the adapter's unit tests.
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*
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* Mimics just the surface the transport + deploySite use:
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* storage.bucket(name).file(key) → { createReadStream, exists, getMetadata }
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* storage.bucket(name).upload(localPath, { destination, contentType })
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*
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* Objects live in a Map keyed `bucket/key`. `upload` reads the real local
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* file from disk (the handler writes real tarballs), so round-trips through
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* tar/untar exercise the actual code path. Every op is recorded for
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* sequence assertions.
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*/
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import { readFileSync, writeFileSync } from "node:fs";
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import { Readable } from "node:stream";
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import type { Storage } from "@google-cloud/storage";
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export interface FakeGcsOp {
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kind: "download" | "upload" | "exists" | "getMetadata";
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uri: string;
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bytes?: number;
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}
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export class FakeGcs {
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ops: FakeGcsOp[] = [];
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objects = new Map<string, Buffer>();
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// Accessed only through the `Storage` cast in tests, so fallow's static
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// analysis can't see the reference.
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// fallow-ignore-next-line unused-class-member
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bucket(bucketName: string): FakeBucket {
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return new FakeBucket(this, bucketName);
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}
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/** Seed an object directly (e.g. a pre-built project tarball). */
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seed(uri: string, bytes: Buffer): void {
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this.objects.set(uri, bytes);
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}
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/** Seed from a local file on disk. */
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seedFromFile(uri: string, localPath: string): void {
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this.objects.set(uri, readFileSync(localPath));
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}
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}
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class FakeBucket {
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constructor(
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private readonly gcs: FakeGcs,
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private readonly bucketName: string,
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) {}
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get name(): string {
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return this.bucketName;
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}
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file(key: string): FakeFile {
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return new FakeFile(this.gcs, this.bucketName, key);
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}
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async upload(
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localPath: string,
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opts: { destination: string; contentType?: string },
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): Promise<unknown> {
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const uri = `gs://${this.bucketName}/${opts.destination}`;
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const bytes = readFileSync(localPath);
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this.gcs.objects.set(uri, bytes);
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this.gcs.ops.push({ kind: "upload", uri, bytes: bytes.length });
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return [{}];
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}
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}
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class FakeFile {
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private readonly uri: string;
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constructor(
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private readonly gcs: FakeGcs,
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bucketName: string,
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key: string,
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) {
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this.uri = `gs://${bucketName}/${key}`;
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}
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createReadStream(): Readable {
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const bytes = this.gcs.objects.get(this.uri);
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if (!bytes) {
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const r = new Readable({ read() {} });
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r.destroy(new Error(`FakeGcs: object not found: ${this.uri}`));
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return r;
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}
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this.gcs.ops.push({ kind: "download", uri: this.uri, bytes: bytes.length });
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return Readable.from([bytes]);
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}
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async exists(): Promise<[boolean]> {
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const has = this.gcs.objects.has(this.uri);
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this.gcs.ops.push({ kind: "exists", uri: this.uri });
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return [has];
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}
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async getMetadata(): Promise<[{ size?: string | number; updated?: string }]> {
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const bytes = this.gcs.objects.get(this.uri);
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this.gcs.ops.push({ kind: "getMetadata", uri: this.uri });
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return [{ size: bytes?.length ?? 0, updated: "2026-06-06T00:00:00.000Z" }];
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}
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/** Helper for tests that want to materialize an object to disk. */
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writeToDisk(destPath: string): void {
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const bytes = this.gcs.objects.get(this.uri);
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if (!bytes) throw new Error(`FakeGcs: object not found: ${this.uri}`);
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writeFileSync(destPath, bytes);
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}
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}
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/** Cast so `deploySite({ storage: asStorage(fake) })` reads cleanly. */
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export function asStorage(fake: FakeGcs): Storage {
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return fake as unknown as Storage;
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}
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