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James Russo d580f2a1d8 fix(render): make WebGL video textures deterministic in headless render (#1403)
* fix(render): make WebGL video textures deterministic in headless render

WebGL compositions that sample a `<video>` as a texture (e.g. a faceted
crystal with clips mapped onto its facets) rendered with flickering,
non-deterministic facets: a video would intermittently show a stale frame or
go black, and the same frame differed between two renders.

Two gaps caused this:

1. No WebGL analog of the WebGPU `patchVideoTextureCompat`. Chrome's headless
   compositor can't feed decoded `<video>` frames to the GPU, so the engine
   injects a decoded `<img class="__render_frame__">` sibling per video each
   frame. The WebGPU `copyExternalImageToTexture` path substitutes it, but
   `texImage2D` / `texSubImage2D` did not — so WebGL uploaded a stale/black
   frame. Add `patchWebGLVideoTextureCompat()` mirroring the WebGPU patch
   (shared `resolveRenderFrameImage` helper).

2. Capture ordering. Per frame the runtime seeks (GPU adapters render on
   `hf-seek`) BEFORE the engine injects the decoded frames, so the GPU render
   read a frame that didn't exist yet. After injecting, the engine now calls
   `window.__hfReseekGpu(t)` — a force-dispatch (`forceDispatchSeekEvent`) that
   bypasses the same-time `hf-seek` dedup — so GPU compositions re-upload their
   textures from the freshly-injected, decoded frames, deterministically.

Tests: unit tests for the texImage2D/texSubImage2D substitution and the
force-dispatch, plus a videoFrameInjector regression test asserting the
post-injection GPU reseek fires only when frames were injected. Verified
end-to-end: a WebGL prism with 8 live <video> facets renders byte-identical
across independent runs with no facet flicker.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(render): add producer render-compat regression for WebGL video textures

A WebGL2 canvas samples a <video> as a texture every hf-seek (the natural
author pattern, distilled from the HeyGen prism). The render-compat harness
renders it and compares against the golden: with the video-texture fix the
render reproduces the decoded frames; revert the fix and the canvas renders
black, collapsing the comparison.

Golden verified to contain real, time-varying video content (not black), so a
regression is caught rather than passing vacuously.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-12 22:37:00 -07:00
..
2026-04-27 18:16:09 -04:00

Producer regression test fixtures

Each subdirectory under this folder is a regression fixture for the HTML-to-video pipeline. The harness at packages/producer/src/regression-harness.ts walks every subdirectory, runs the composition, and PSNR-compares the rendered output against a checked-in golden baseline.

Fixture layout

<fixture-name>/
├── meta.json           # name, tags, PSNR threshold, renderConfig
├── src/
│   ├── index.html      # composition entry point
│   └── assets/...      # any locally-referenced media
└── output/
    ├── compiled.html   # golden compiled HTML (validated as a snapshot)
    └── output.mp4      # golden rendered video

meta.json is validated by validateMetadata in src/regression-harness.ts. The required fields are:

  • name (string), description (string), tags (string[])
  • minPsnr (number, dB)
  • maxFrameFailures (integer)
  • minAudioCorrelation (0..1), maxAudioLagWindows (integer ≥1)
  • renderConfig.fps (integer like 30 or a rational string like "30000/1001")

Optional renderConfig fields:

  • format — "mp4" (default) or "webm"
  • workers — integer ≥ 1
  • hdr — boolean (default false)
  • variables — JSON object of render-time variable overrides
  • chunkSize — integer ≥ 1 (used by --mode=distributed-simulated)
  • maxParallelChunks — integer ≥ 1 (used by --mode=distributed-simulated)

Generating / updating a baseline

Always inside Docker. Host Chrome / FFmpeg versions drift across distros, so a baseline captured on the host won't match the bytes CI renders.

# From the repo root.
docker build -t hyperframes-producer:test -f Dockerfile.test .

# Generate a baseline (single fixture):
bun run --cwd packages/producer docker:test:update <fixture-name>

# Generate all baselines (rarely needed):
bun run --cwd packages/producer docker:test:update

The --update flag writes output/compiled.html and output/output.mp4 from the current render. Without --update, the harness compares against those baselines.

Running the harness locally

# Run every fixture (parallel, in-process mode — the default).
bun run --cwd packages/producer docker:test

# Run a single fixture:
bun run --cwd packages/producer docker:test font-variant-numeric

# Run sequentially (lower memory):
bun run --cwd packages/producer docker:test -- --sequential

Harness modes

--mode=<value> chooses which render path the harness exercises:

Mode What it calls Use for
in-process (default) executeRenderJob Day-to-day baselines. This is the same path the hyperframes render CLI takes, and it is what produced every existing output/output.mp4.
distributed-simulated plan() → renderChunk() × N → assemble() from @hyperframes/producer/distributed Validates the distributed pipeline against the in-process baseline. No Temporal or Lambda involvement — the controller and chunk worker are both this process.

--mode=distributed-simulated

bun run --cwd packages/producer docker:test -- --mode=distributed-simulated
bun run --cwd packages/producer docker:test font-variant-numeric -- --mode=distributed-simulated

The distributed pipeline cannot run every fixture. Fixtures that fail any of these gates are skipped with a clear log line (and counted as passing in the summary):

  • fps.den !== 1 — distributed mode is integer-fps only (no NTSC).
  • fps.num ∉ {24, 30, 60} — closed set per DistributedRenderConfig.
  • format === "webm" — plan() refuses webm.
  • hdr === true — distributed mode is SDR-only at v1.

Both modes use the fixture's authored minPsnr as the per-test threshold — distributed must clear the same quality bar in-process clears against the same frozen baseline. (Internal contract: distributed vs in-process renders of the same fixture should clear 50 dB PSNR against each other within the same Docker image. Against the frozen committed baseline, neither mode reaches that consistently due to shared encoder/JPEG-capture jitter — that's why the fixture's authored threshold gates here, not the 50 dB contract value.) An absolute 10 dB pathology floor catches fully-black-output regressions when a fixture authors a permissive threshold. A distributed failure at the fixture's own threshold means the distributed pipeline has drifted — file an issue rather than relaxing the fixture.

--update is incompatible with --mode=distributed-simulated: the in-process renderer is the source of truth for baselines, and the distributed mode's job is to verify the contract against the same baseline.

Validating PR 4.1 (the harness mode itself)

The smallest fixtures (font-variant-numeric, many-cuts) are sufficient to verify the mode plumbing end to end:

docker build -t hyperframes-producer:test -f Dockerfile.test .

# In-process: existing behavior, unchanged.
bun run --cwd packages/producer docker:test font-variant-numeric
bun run --cwd packages/producer docker:test many-cuts

# Distributed-simulated: same baselines, distributed pipeline.
bun run --cwd packages/producer docker:test font-variant-numeric -- --mode=distributed-simulated
bun run --cwd packages/producer docker:test many-cuts -- --mode=distributed-simulated

Both modes must pass at each fixture's authored minPsnr against the existing baseline. If --mode=distributed-simulated fails where --mode=in-process passes, the distributed primitive has a regression — file an issue rather than relaxing the fixture's threshold.

Distributed-only fixtures

Fixtures under tests/distributed/<name>/ are authored specifically for the distributed pipeline. They follow the same meta.json schema as the top-level fixtures, but they always set chunkSize / maxParallelChunks so a plan() over the fixture produces N>1 chunks. Each fixture exercises one of:

  • per-format chunk-boundary correctness (mp4 H.264, mp4 H.265, ProRes, png-sequence)
  • per-adapter chunk-seam state preservation (GSAP, Anime.js, Three.js, Lottie, CSS, WAAPI)

Each distributed fixture covers one or more equivalence axes — see the meta.json description field for what a given fixture is locking in.

Fixture pattern (4.2 onward)

Each tests/distributed/<name>/ fixture has the same structure as a top-level fixture (meta.json + src/index.html + output/output.mp4). Differences worth knowing:

  • renderConfig.chunkSize is required — pick a value that yields N≥2 chunks for your fixture's frame count (e.g. 60 frames at chunkSize: 15 produces N=4). Without this the fixture renders in a single chunk and never exercises the seam.
  • The fixture's ID on the CLI is just <name> (no distributed/ prefix). bun run --cwd packages/producer docker:test mp4-h264-sdr works the same as for a top-level fixture.
  • The distributed tag is informational — it doesn't gate any tag-based filter today. Add it so the fixture is easy to find by tag.
  • The composition should stress state continuity across the chunk seams: an animation crossing a seam, a counter, a rotation. A fully-static composition would pass even if chunk-boundary state was broken.
  • Baselines must be generated inside Docker — see the section above. The baseline is rendered by the in-process renderer (the source of truth for golden output); --mode=distributed-simulated is validated against the same baseline.

Tags

Common tags values control which fixtures the default bun test invocation runs. --exclude-tags transparency (the default for bun test) skips webm/png-sequence alpha fixtures that need a working chrome-headless-shell alpha pipeline.