feat(producer): add --mode=lambda-local to the regression harness (#913)

* feat(producer): add --mode=lambda-local to the regression harness

Third harness mode that drives the OSS @hyperframes/aws-lambda handler
through the exact event sequence Step Functions produces in
production:

  handler({Action: "plan"})             → planDir tarball on fake S3
  handler({Action: "renderChunk"}) × N  → chunk artifacts on fake S3
  handler({Action: "assemble"})         → final mp4/mov/png-sequence

The S3 client is a filesystem-backed fake (every s3://<bucket>/<key>
URI maps to <tempRoot>/s3/<key>), so the harness exercises the
handler's event-parsing + tar/S3 conventions + dispatch logic on top
of the underlying producer primitives. Regressions in event JSON
shape, S3 key layout, or plan-hash boundary checks now surface in
the same CI run as the in-process and distributed-simulated modes
without paying for a real AWS round-trip.

Deliberately NOT a Docker/RIE invocation — that would gate the
producer test suite on Docker-in-Docker support which most CI
runners lack. Real-ZIP-via-RIE tests live in
packages/aws-lambda/scripts/ (probe:beginframe) and the
maintainer-run smoke.sh.

Wired up via:
  - HarnessMode union extended to include "lambda-local"
  - parseHarnessModeFlag accepts --mode=lambda-local
  - regression-harness.ts dispatches to runLambdaLocalRender for
    the new mode, sharing the distributed-support gate +
    pathology-floor threshold with distributed-simulated mode
  - package.json scripts: test:lambda-local + docker:test:lambda-local
  - producer.devDependencies += @hyperframes/aws-lambda (workspace)
  - producer/tsconfig.json gains path mappings to self so the type
    cycle through aws-lambda's source resolves at typecheck time
    without needing producer to be pre-built

Tests: 3 new unit tests on parseHarnessModeFlag + resolveMinPsnrForMode
cover the new mode. End-to-end PSNR contract still runs through
Dockerfile.test (manual + CI).

* refactor(producer): /simplify pass on lambda-local harness imports

Three small cleanups on top of the lambda-local harness:

  - Drop the unused createReadStream import + its `void` workaround
    comment. The aws-lambda handler's tar / S3 transport pulls
    createReadStream from its own imports; this file never references
    it directly.

  - Hoist the dynamic `await import("node:fs")` calls for
    writeFileSync out of FilesystemBackedFakeS3.send into the static
    import block. Repeated PutObject calls don't need to repay the
    dynamic-import cost.

  - Hoist the dynamic `await import("@hyperframes/aws-lambda")` call
    for untarDirectory similarly. Drops the now-redundant duplicate
    aws-lambda import statement.

The PutObject body branch also collapses: `body instanceof Buffer`
and `typeof body === "string"` both call writeFileSync identically,
so they share one branch.

No behavior changes.

* fix(producer): lazy-import lambda-local harness module

The static import of regression-harness-lambda-local.ts pulled
@hyperframes/aws-lambda (and its @aws-sdk/* + @sparticuz/chromium
transitive deps) at module-load time. Dockerfile.test only copies
the producer's own files into the container, so aws-lambda's src
isn't present at runtime — and even `--mode=in-process` failed:

  Error [ERR_MODULE_NOT_FOUND]: Cannot find module
  '/app/packages/producer/node_modules/@hyperframes/aws-lambda/src/index.ts'
  imported from /app/packages/producer/src/regression-harness-lambda-local.ts

Load the module on demand instead. `--mode=lambda-local` callers
pay the import cost; the existing in-process and distributed-
simulated modes don't.

* fix(producer): address PR review on lambda-local harness

Three review items from Vai:

  - `Config.width`/`Config.height` are now plumbed through
    RunLambdaLocalInput rather than hardcoded inside
    runLambdaLocalRender. Lambda-local's whole point is to catch
    event-shape drift; if the handler ever starts honouring
    Config.width/height (e.g. for canvas sizing), having those
    values flow from the caller means the harness sees what the
    fixture authored. The interface change makes the eventual
    upgrade-to-real-fixture-resolution a one-line dispatch swap.

  - Drop the dead `export type { Fps }` and its unused import
    from @hyperframes/core. The module never re-exports it.

  - The dispatch site in regression-harness.ts now passes 1920×1080
    explicitly with a comment marking it as a placeholder until
    the harness compiles the composition HTML up-front to surface
    the authored data-width/data-height. distributed-simulated
    mode uses the same placeholder internally, kept for parity.

No behavior change in the existing modes; lambda-local now has a
clear extension point for honouring fixture dimensions.
This commit is contained in:
James Russo
2026-05-17 14:04:49 -04:00
committed by GitHub
parent 62ddd29b74
commit b05a22e69e
7 changed files with 312 additions and 20 deletions
+3
View File
@@ -50,6 +50,8 @@
"docker:test": "docker run --rm --security-opt seccomp=unconfined --shm-size=2g -v ./tests:/app/packages/producer/tests hyperframes-producer:test",
"docker:test:update": "docker run --rm --security-opt seccomp=unconfined --shm-size=2g -v ./tests:/app/packages/producer/tests hyperframes-producer:test --update",
"docker:test:distributed": "docker run --rm --security-opt seccomp=unconfined --shm-size=2g -v ./tests:/app/packages/producer/tests hyperframes-producer:test --mode=distributed-simulated",
"test:lambda-local": "tsx src/regression-harness.ts --exclude-tags transparency --mode=lambda-local",
"docker:test:lambda-local": "docker run --rm --security-opt seccomp=unconfined --shm-size=2g -v ./tests:/app/packages/producer/tests hyperframes-producer:test --mode=lambda-local",
"prepublishOnly": "echo skip"
},
"dependencies": {
@@ -81,6 +83,7 @@
"@fontsource/poppins": "^5.2.7",
"@fontsource/roboto": "^5.2.10",
"@fontsource/source-code-pro": "^5.2.7",
"@hyperframes/aws-lambda": "workspace:*",
"@types/node": "^25.0.10",
"@webgpu/types": "^0.1.69",
"esbuild": "^0.25.12",
@@ -18,6 +18,10 @@ describe("parseHarnessModeFlag()", () => {
expect(parseHarnessModeFlag("--mode=distributed-simulated")).toBe("distributed-simulated");
});
it("parses --mode=lambda-local", () => {
expect(parseHarnessModeFlag("--mode=lambda-local")).toBe("lambda-local");
});
it("returns null for tokens that aren't --mode", () => {
expect(parseHarnessModeFlag("--update")).toBeNull();
expect(parseHarnessModeFlag("font-variant-numeric")).toBeNull();
@@ -28,6 +32,11 @@ describe("parseHarnessModeFlag()", () => {
expect(() => parseHarnessModeFlag("--mode=foo")).toThrow(/--mode must be/);
expect(() => parseHarnessModeFlag("--mode=")).toThrow(/--mode must be/);
});
it("error message lists all three accepted modes", () => {
expect(() => parseHarnessModeFlag("--mode=foo")).toThrow(/lambda-local/);
expect(() => parseHarnessModeFlag("--mode=foo")).toThrow(/distributed-simulated/);
});
});
describe("checkDistributedSupport()", () => {
@@ -113,6 +122,13 @@ describe("resolveMinPsnrForMode()", () => {
);
});
it("lambda-local mirrors distributed-simulated's pathology floor", () => {
// Both non-in-process modes run through the same producer primitives,
// so they share the same pathology threshold.
expect(resolveMinPsnrForMode("lambda-local", 30)).toBe(30);
expect(resolveMinPsnrForMode("lambda-local", 0)).toBe(DISTRIBUTED_SIMULATED_MIN_PSNR_DB);
});
it("every committed fixture authors a minPsnr above the absolute floor", async () => {
// The pathology floor only fires for a fixture whose authored minPsnr
// is below it — by design that should be no committed fixture. If
@@ -36,8 +36,20 @@ import { join } from "node:path";
import type { Fps } from "@hyperframes/core";
import { assemble, plan, renderChunk } from "./distributed.js";
/** Two-mode contract that backs `--mode=<value>` on the regression harness CLI. */
export type HarnessMode = "in-process" | "distributed-simulated";
/**
* Three-mode contract that backs `--mode=<value>` on the regression
* harness CLI:
*
* - `in-process` — `executeRenderJob`, the same path the CLI takes.
* - `distributed-simulated` — `plan` → `renderChunk` × N → `assemble`
* in-process. No adapter (no Temporal, no Lambda).
* - `lambda-local` — drives the OSS `@hyperframes/aws-lambda` handler
* dispatch through a filesystem-backed fake S3, so every event
* shape SFN sends in production also lands here. Catches regressions
* in event JSON / S3 path conventions without paying for a real AWS
* round-trip.
*/
export type HarnessMode = "in-process" | "distributed-simulated" | "lambda-local";
/**
* Absolute pathology floor for `--mode=distributed-simulated` — catches
@@ -207,6 +219,8 @@ export async function runDistributedSimulatedRender(
*/
export function resolveMinPsnrForMode(mode: HarnessMode, fixtureMinPsnr: number): number {
if (mode === "in-process") return fixtureMinPsnr;
// `lambda-local` shares the distributed-simulated pathology floor —
// both modes go through the same plan/renderChunk/assemble primitives.
return Math.max(fixtureMinPsnr, DISTRIBUTED_SIMULATED_MIN_PSNR_DB);
}
@@ -220,10 +234,11 @@ export function resolveMinPsnrForMode(mode: HarnessMode, fixtureMinPsnr: number)
export function parseHarnessModeFlag(token: string): HarnessMode | null {
if (token === "--mode=in-process") return "in-process";
if (token === "--mode=distributed-simulated") return "distributed-simulated";
if (token === "--mode=lambda-local") return "lambda-local";
if (token.startsWith("--mode=")) {
const value = token.slice("--mode=".length);
throw new Error(
`regression-harness: --mode must be 'in-process' or 'distributed-simulated' (got ${JSON.stringify(value)})`,
`regression-harness: --mode must be 'in-process', 'distributed-simulated', or 'lambda-local' (got ${JSON.stringify(value)})`,
);
}
return null;
@@ -0,0 +1,227 @@
/**
* Lambda-local render path for the regression harness.
*
* Drives the OSS `@hyperframes/aws-lambda` handler through the exact
* sequence Step Functions invokes in production:
*
* handler({ Action: "plan" }) → planDir tarball on S3
* handler({ Action: "renderChunk" }) × N → chunk artifacts on S3
* handler({ Action: "assemble" }) → final mp4 / mov / png-seq
*
* The S3 client is a filesystem-backed fake: every `s3://test-bucket/<key>`
* URI maps to `<tempRoot>/s3/<key>`. This means the harness exercises
* the handler's event-parsing + tar / S3 layout + dispatch logic in
* addition to the underlying producer primitives, catching regressions
* (event JSON drift, S3 key conventions, plan-hash boundary checks)
* that `distributed-simulated` mode wouldn't.
*
* `lambda-local` is **deliberately** not a Docker / RIE invocation —
* that would gate the producer test suite on Docker-in-Docker support
* which most CI runners lack. Real-ZIP-via-RIE tests live in
* `packages/aws-lambda/scripts/` (`probe:beginframe`) and the
* maintainer-run `smoke.sh`.
*/
import {
createWriteStream,
existsSync,
mkdirSync,
readFileSync,
statSync,
writeFileSync,
} from "node:fs";
import { dirname, join } from "node:path";
import { pipeline } from "node:stream/promises";
import { Readable } from "node:stream";
import { downloadS3ObjectToFile, tarDirectory, untarDirectory } from "@hyperframes/aws-lambda";
import { handler } from "@hyperframes/aws-lambda/handler";
import type {
AssembleEvent,
AssembleLambdaResult,
HandlerDeps,
PlanEvent,
PlanLambdaResult,
RenderChunkEvent,
RenderChunkLambdaResult,
SerializableDistributedRenderConfig,
} from "@hyperframes/aws-lambda";
/** Inputs for {@link runLambdaLocalRender}. Same contract as `runDistributedSimulatedRender`. */
export interface RunLambdaLocalInput {
projectDir: string;
tempRoot: string;
renderedOutputPath: string;
fps: 24 | 30 | 60;
/**
* Width/height from the fixture's renderConfig. Forwarded directly to
* the Lambda event so this mode catches drift if the handler ever
* starts honouring `Config.width/height` for canvas sizing rather
* than reading the composition's `data-width`/`data-height`. The
* `distributed-simulated` mode hardcodes 1920×1080 because it
* bypasses the event-serialization boundary; lambda-local goes
* through it, which is the whole point.
*/
width: number;
height: number;
format: "mp4" | "mov" | "png-sequence";
codec?: "h264" | "h265";
chunkSize?: number;
maxParallelChunks?: number;
variables?: Record<string, unknown>;
}
const FAKE_BUCKET = "harness-lambda-local";
/** S3 URI helpers — keep the URI shape identical to what SFN uses in production. */
function uri(key: string): string {
return `s3://${FAKE_BUCKET}/${key}`;
}
/**
* Run plan → renderChunk × N → assemble through the OSS handler with a
* filesystem-backed fake S3. Output lands at `input.renderedOutputPath`.
*/
export async function runLambdaLocalRender(input: RunLambdaLocalInput): Promise<void> {
const s3Root = join(input.tempRoot, "s3");
mkdirSync(s3Root, { recursive: true });
// STEP 0: stage the project as a tar.gz at the fake-S3 path the Plan
// event will reference, mirroring what `deploySite` does in prod.
const projectKey = `sites/harness/${Date.now()}/project.tar.gz`;
const projectS3Path = join(s3Root, projectKey);
mkdirSync(dirname(projectS3Path), { recursive: true });
await tarDirectory(input.projectDir, projectS3Path);
const fakeS3 = new FilesystemBackedFakeS3(s3Root);
const deps: HandlerDeps = {
s3: fakeS3 as unknown as HandlerDeps["s3"],
// The handler resolves a Chrome path via `@sparticuz/chromium` by
// default; that's the Lambda-specific binary. In Dockerfile.test
// we want the producer's already-configured Chrome instead. The
// skip flag tells the handler not to override PRODUCER_HEADLESS_SHELL_PATH.
skipChromeResolution: true,
tmpRoot: join(input.tempRoot, "lambda-tmp"),
};
mkdirSync(deps.tmpRoot as string, { recursive: true });
const config: SerializableDistributedRenderConfig = {
fps: input.fps,
width: input.width,
height: input.height,
format: input.format,
...(input.format === "mp4" && input.codec !== undefined ? { codec: input.codec } : {}),
chunkSize: input.chunkSize,
maxParallelChunks: input.maxParallelChunks,
hdrMode: "force-sdr",
};
// STEP A: plan
const planPrefix = `renders/harness/${Date.now()}/`;
const planEvent: PlanEvent = {
Action: "plan",
ProjectS3Uri: uri(projectKey),
PlanOutputS3Prefix: uri(planPrefix),
Config: config,
};
const planResult = (await handler(planEvent, deps)) as PlanLambdaResult;
// STEP B: render every chunk through the handler.
const chunkUris: string[] = [];
for (let i = 0; i < planResult.ChunkCount; i++) {
const chunkEvent: RenderChunkEvent = {
Action: "renderChunk",
PlanS3Uri: planResult.PlanS3Uri,
PlanHash: planResult.PlanHash,
ChunkIndex: i,
ChunkOutputS3Prefix: uri(planPrefix),
Format: input.format,
};
const chunkResult = (await handler(chunkEvent, deps)) as RenderChunkLambdaResult;
chunkUris.push(chunkResult.ChunkS3Uri);
}
// STEP C: assemble
const finalUri = uri(
`${planPrefix}output${input.format === "png-sequence" ? ".tar.gz" : `.${input.format}`}`,
);
const assembleEvent: AssembleEvent = {
Action: "assemble",
PlanS3Uri: planResult.PlanS3Uri,
ChunkS3Uris: chunkUris,
AudioS3Uri: planResult.AudioS3Uri,
OutputS3Uri: finalUri,
Format: input.format,
};
(await handler(assembleEvent, deps)) as AssembleLambdaResult;
// Copy the final output from fake-S3 land back out to the path the
// harness expects. For png-sequence, untar into the dir.
const finalKey = finalUri.slice(`s3://${FAKE_BUCKET}/`.length);
if (input.format === "png-sequence") {
const tarPath = join(s3Root, finalKey);
mkdirSync(input.renderedOutputPath, { recursive: true });
await untarDirectory(tarPath, input.renderedOutputPath);
} else {
await downloadS3ObjectToFile(
fakeS3 as unknown as Parameters<typeof downloadS3ObjectToFile>[0],
finalUri,
input.renderedOutputPath,
);
}
}
/**
* Minimum AWS-SDK-shaped fake S3 the handler's `send(GetObject)` and
* `send(PutObject)` calls land in. Stores blobs on the local filesystem
* under `root/<key>` so the harness can pre-stage inputs (tarball'd
* project) and post-inspect outputs (per-chunk artifacts, final video)
* without going through a real S3 endpoint.
*/
class FilesystemBackedFakeS3 {
constructor(private readonly root: string) {}
async send(command: unknown): Promise<unknown> {
const cmdName = (command as { constructor: { name: string } }).constructor.name;
const input = (command as { input: { Bucket: string; Key: string; Body?: unknown } }).input;
const fsPath = join(this.root, input.Key);
if (cmdName === "GetObjectCommand") {
if (!existsSync(fsPath)) {
const err = new Error(
`FakeS3: GetObject for missing key ${input.Bucket}/${input.Key}`,
) as Error & {
$metadata: { httpStatusCode: number };
};
err.$metadata = { httpStatusCode: 404 };
throw err;
}
const bytes = readFileSync(fsPath);
return { Body: Readable.from([bytes]) };
}
if (cmdName === "PutObjectCommand") {
mkdirSync(dirname(fsPath), { recursive: true });
const body = input.Body;
if (body instanceof Buffer || typeof body === "string") {
writeFileSync(fsPath, body);
} else if (body && typeof (body as NodeJS.ReadableStream).pipe === "function") {
await pipeline(body as NodeJS.ReadableStream, createWriteStream(fsPath));
} else {
throw new Error(`FakeS3: PutObject body shape not supported (${typeof body})`);
}
return { ETag: `"fake-${statSync(fsPath).size}"` };
}
if (cmdName === "HeadObjectCommand") {
if (!existsSync(fsPath)) {
const err = new Error(
`FakeS3: HeadObject for missing key ${input.Bucket}/${input.Key}`,
) as Error & {
$metadata: { httpStatusCode: number };
};
err.$metadata = { httpStatusCode: 404 };
throw err;
}
return { ContentLength: statSync(fsPath).size, LastModified: new Date() };
}
throw new Error(`FakeS3: unexpected command ${cmdName}`);
}
}
+41 -16
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@@ -32,6 +32,18 @@ import {
runDistributedSimulatedRender,
} from "./regression-harness-distributed.js";
// `regression-harness-lambda-local` statically imports
// `@hyperframes/aws-lambda`, which depends on @aws-sdk + @sparticuz/chromium.
// In Dockerfile.test the workspace copy of aws-lambda's src isn't present,
// so a static import here would fail at module-load time even when
// running `--mode=in-process`. Load it on demand instead.
async function loadLambdaLocalRender(): Promise<
typeof import("./regression-harness-lambda-local.js").runLambdaLocalRender
> {
const mod = await import("./regression-harness-lambda-local.js");
return mod.runLambdaLocalRender;
}
// ── Types ────────────────────────────────────────────────────────────────────
type TestMetadata = {
@@ -228,13 +240,13 @@ function parseArgs(argv: string[]): CliOptions {
}
}
if (update && mode === "distributed-simulated") {
if (update && (mode === "distributed-simulated" || mode === "lambda-local")) {
// The in-process renderer is the source of truth for golden baselines —
// distributed-simulated's job is to verify the contract against the
// same baseline, not to author its own. Surfacing this at parse time
// saves a multi-minute render before the user notices.
// the other two modes verify the contract against the same baseline,
// not author their own. Surfacing this at parse time saves a multi-
// minute render before the user notices.
throw new Error(
"regression-harness: --update is incompatible with --mode=distributed-simulated. " +
`regression-harness: --update is incompatible with --mode=${mode}. ` +
"Generate baselines with the in-process renderer (the default mode), then re-run " +
"without --update to verify both modes match.",
);
@@ -889,13 +901,14 @@ async function runTestSuite(
copyFixtureSupportFiles(suite, tempRoot);
cpSync(suite.srcDir, tempSrcDir, { recursive: true });
if (options.mode === "distributed-simulated") {
if (options.mode === "distributed-simulated" || options.mode === "lambda-local") {
const support = checkDistributedSupport(suite.meta.renderConfig);
if (!support.supported) {
// Skipping is a clean outcome — the distributed pipeline can't
// run this fixture, but in-process mode already covers it. Mark
// passed so the suite summary doesn't trip CI; the `skipped`
// field is what distinguishes a real pass from a skip.
// Skipping is a clean outcome — the distributed pipeline (which
// both modes go through) can't run this fixture, but in-process
// mode already covers it. Mark passed so the suite summary
// doesn't trip CI; the `skipped` field is what distinguishes a
// real pass from a skip.
console.log(
JSON.stringify({
event: "test_skipped",
@@ -912,21 +925,33 @@ async function runTestSuite(
// `checkDistributedSupport` already narrowed fps to {24,30,60} and
// rejected webm; the cast surfaces that guarantee to TS.
const fpsNum = suite.meta.renderConfig.fps.num as 24 | 30 | 60;
// `runDistributedSimulatedRender`'s `format` parameter accepts the
// distributed-supported set; the harness type allows `"webm"` too
// but `checkDistributedSupport` rejected that above. Narrow the cast
// accordingly.
await runDistributedSimulatedRender({
const distributedInput = {
projectDir: tempSrcDir,
tempRoot,
renderedOutputPath,
fps: fpsNum,
// `runDistributedSimulatedRender` / `runLambdaLocalRender`'s
// `format` parameter accepts the distributed-supported set;
// the harness type allows `"webm"` too but
// `checkDistributedSupport` rejected that above. Narrow.
format: outputFormat as "mp4" | "mov" | "png-sequence",
codec: suite.meta.renderConfig.codec,
chunkSize: suite.meta.renderConfig.chunkSize,
maxParallelChunks: suite.meta.renderConfig.maxParallelChunks,
variables: suite.meta.renderConfig.variables,
});
};
if (options.mode === "lambda-local") {
const runLambdaLocalRender = await loadLambdaLocalRender();
// The fixture's authored dimensions live in the composition's
// `data-width`/`data-height` attributes, not in `meta.json`'s
// renderConfig. Until the harness compiles the HTML up-front
// to surface them here, pass 1920×1080 — the same placeholder
// `runDistributedSimulatedRender` uses internally. The
// composition attrs override at plan time.
await runLambdaLocalRender({ ...distributedInput, width: 1920, height: 1080 });
} else {
await runDistributedSimulatedRender(distributedInput);
}
} else {
const job = createRenderJob({
fps: suite.meta.renderConfig.fps,
+6 -1
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@@ -12,7 +12,12 @@
"declaration": true,
"declarationMap": true,
"sourceMap": true,
"types": ["@webgpu/types"]
"types": ["@webgpu/types"],
"baseUrl": ".",
"paths": {
"@hyperframes/producer": ["./src/index.ts"],
"@hyperframes/producer/distributed": ["./src/distributed.ts"]
}
},
"include": ["src/**/*"],
"exclude": ["node_modules", "dist", "src/**/*.test.ts", "src/**/__test_utils__/**"]