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* 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>
120 lines
3.6 KiB
TypeScript
120 lines
3.6 KiB
TypeScript
/**
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* `validateDistributedRenderConfig` + `validateWorkflowsInputSize` unit
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* tests. Pins the shape rejections the SDK surfaces synchronously before a
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* Cloud Workflows execution starts.
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*/
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import { describe, expect, it } from "bun:test";
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import type { SerializableDistributedRenderConfig } from "../events.js";
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import {
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InvalidConfigError,
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MAX_WORKFLOWS_INPUT_BYTES,
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validateDistributedRenderConfig,
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validateVariablesPayload,
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validateWorkflowsInputSize,
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} from "./validateConfig.js";
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function base(): SerializableDistributedRenderConfig {
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return {
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fps: 30,
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width: 1920,
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height: 1080,
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format: "mp4",
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} as SerializableDistributedRenderConfig;
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}
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describe("validateDistributedRenderConfig", () => {
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it("accepts a minimal valid config", () => {
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expect(validateDistributedRenderConfig(base())).toBeDefined();
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});
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it("rejects a bad fps", () => {
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expect(() => validateDistributedRenderConfig({ ...base(), fps: 25 } as never)).toThrow(
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/config\.fps/,
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);
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});
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it("rejects odd dimensions (yuv420p)", () => {
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expect(() => validateDistributedRenderConfig({ ...base(), width: 1921 })).toThrow(/even/);
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});
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it("rejects an out-of-range dimension", () => {
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expect(() => validateDistributedRenderConfig({ ...base(), height: 8 })).toThrow(/\[16, 7680\]/);
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});
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it("rejects an unknown format", () => {
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expect(() => validateDistributedRenderConfig({ ...base(), format: "gif" as never })).toThrow(
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/config\.format/,
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);
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});
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it("rejects codec with a non-mp4 format", () => {
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expect(() =>
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validateDistributedRenderConfig({ ...base(), format: "webm", codec: "h264" } as never),
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).toThrow(/only valid with format="mp4"/);
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});
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it("rejects crf + bitrate together", () => {
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expect(() =>
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validateDistributedRenderConfig({ ...base(), crf: 20, bitrate: "10M" } as never),
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).toThrow(/mutually exclusive/);
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});
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it("rejects force-hdr", () => {
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expect(() =>
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validateDistributedRenderConfig({ ...base(), hdrMode: "force-hdr" as never }),
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).toThrow(/force-sdr/);
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});
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it("rejects an over-cap chunkSize", () => {
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expect(() => validateDistributedRenderConfig({ ...base(), chunkSize: 5000 } as never)).toThrow(
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/<= 3600/,
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);
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});
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it("throws InvalidConfigError with a field pointer", () => {
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try {
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validateDistributedRenderConfig({ ...base(), fps: 1 } as never);
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throw new Error("should have thrown");
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} catch (err) {
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expect(err).toBeInstanceOf(InvalidConfigError);
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expect((err as InvalidConfigError).field).toBe("config.fps");
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}
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});
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});
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describe("validateVariablesPayload", () => {
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it("accepts a plain JSON object", () => {
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expect(() =>
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validateVariablesPayload({ title: "Hi", count: 3, nested: { ok: true } }),
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).not.toThrow();
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});
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it("rejects undefined leaves", () => {
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expect(() => validateVariablesPayload({ a: undefined })).toThrow(/undefined leaves/);
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});
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it("rejects a top-level array", () => {
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expect(() => validateVariablesPayload([1, 2])).toThrow(/plain JSON object/);
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});
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it("rejects NaN", () => {
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expect(() => validateVariablesPayload({ x: NaN })).toThrow(/non-finite/);
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});
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it("rejects a Date (non-plain object)", () => {
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expect(() => validateVariablesPayload({ when: new Date(0) })).toThrow(/non-plain objects/);
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});
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});
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describe("validateWorkflowsInputSize", () => {
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it("accepts a small payload", () => {
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expect(() => validateWorkflowsInputSize({ a: "b" })).not.toThrow();
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});
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it("rejects a payload over the 512 KiB cap", () => {
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const big = { blob: "x".repeat(MAX_WORKFLOWS_INPUT_BYTES + 1) };
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expect(() => validateWorkflowsInputSize(big)).toThrow(/512 KiB/);
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});
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});
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