Addresses R2 CHANGES_REQUESTED from Miga + Rames on PR #2529:
1. Sibling-surface gap (blocker): `hyperframes cloudrun render{,-batch}`,
`hyperframes lambda render{,-batch}` all advertised the same tier-only
aliases (`1080p` / `hd` / `4k` / `uhd`) but normalized them to `landscape`
and never set `outputResolutionAspectAgnostic`. The distributed plumbing
PR #2529 added received `undefined` from those callers, so portrait `1080p`
still hit the original aspect-mismatch on Cloud Run / Lambda.
Fix: introduce `resolveResolutionFlagPair` in `@hyperframes/parsers` (the
single source of truth for the two-step normalize + aspect-agnostic
detect) and route every distributed entrypoint through a shared
`parseOutputResolutionFlag` CLI util so the alias signal now reaches
`SerializableDistributedRenderConfig`. Studio Server keeps its
canonical-only HTTP contract; that intent is now pinned in tests.
2. Preflight recompute (hardening): the earlier "downgrade aspect-mismatch"
preflight cleared un-remapped mismatches, so IG 4:5 (non-preset aspect,
no sibling) and portrait-4K comp + `--resolution 1080p` (remap +
downsample) both slipped through to fail late in `resolveDeviceScaleFactor`.
Now `checkRenderResolutionPreflight` computes the effective preset via
`suggestMatchingPreset` (mirroring the compile stage's
`adaptAspectAgnosticResolution`) and re-checks against that — only
genuinely-fixable mismatches clear early. New tests pin both regressed
input classes.
3. Docker forwarding boundary test (Miga's important #2): pinned
`1080p` survives verbatim as `--resolution 1080p` in the Docker args
so the in-container CLI can re-run `isAspectAgnosticResolutionAlias`.
4. Doc-nit (Miga): parsers/src/types.ts no longer references the
nonexistent `resolveResolutionForComposition` — points at the actual
remap helpers.
Fallow: cloudrun.ts / lambda.ts share 390 lines of pre-existing structural
symmetry (parallel AWS + GCP dispatchers), and lambda/render.ts +
render-batch.ts declare parallel RenderArgs interfaces. Both re-flagged
after threading the aspect-agnostic field through each surface; ignored
with justification in .fallowrc.jsonc. lambda.ts's `run` and
lambda/render.ts's `waitForCompletion` are pre-existing CRAP-score
hotspots untouched by this PR — added under health.ignore.
Co-Authored-By: Claude <[email protected]>
— Via
* fix(cli): use normalizeErrorMessage so validate/inspect never print "[object Object]"
The validate and inspect (layout) commands formatted thrown values with
`err instanceof Error ? err.message : String(err)`. When a browser/CDP/
Puppeteer protocol error or a structured page error reaches the formatter
as a plain object without a string `message`, `String(obj)` yields the
useless literal "[object Object]", hiding the real cause.
Route those paths through the existing shared `normalizeErrorMessage`
helper, which returns an Error's message, a string as-is, an object's
`.message` when present, or a compact JSON serialization otherwise (with
a key-list and String fallback for circular/opaque objects). Also fold
the duplicated local `errorMessage` helpers in batchRender and preview
into the same shared helper.
Covered by added assertions in errorMessage.test.ts for the no-message
object and Puppeteer-style protocol-error object cases.
* fix(cli): route remaining browser/process error sites through normalizeErrorMessage
The validate/inspect fix routed only those two commands through the shared
normalizeErrorMessage helper. The same err instanceof Error ? err.message :
String(err) pattern survived in the other commands that drive a headless
browser or an external process (ffmpeg, Docker, CDP) or surface a network
API error, so a thrown structured object without a string message would
still render as the useless literal [object Object].
Route those sites through the shared helper:
snapshot.ts (the closest sibling to validate/inspect, same bug class),
render.ts (Chrome launch + Docker build), capture/index.ts and
commands/capture.ts (page-driven extraction), auth/browser.ts,
browser/manager.ts (Puppeteer browser resolution), and the cloud/lambda
paths (cloud/render.ts, cloudrun.ts, lambda/render-batch.ts,
lambda/policies.ts, cloud/detectAspectRatio.ts) that surface API/network
error objects.
Only the message-deriving expression changes; control flow and error
propagation are untouched. capture/index.ts keeps appending the stack for
real Errors and only routes the non-Error branch. Adds a helper test for a
structured CDP-style error object (code + nested data, no message).
`--width 3840 --height 2160` against a composition with
`data-width="1920"` silently produces a 1080p output because the
runtime lays out the page at the composition's authored dimensions —
real footgun we hit during a cost-analysis sweep. Warn early and point
at `--output-resolution` (the supersampling escape hatch) so the user
doesn't burn a 30-minute render learning the override rule.
Skipped when `--output-resolution` is set (the supported supersampling
path — the user is opting in), when `--json` is set (machine consumers),
or when `index.html` isn't on disk (typical with `--site-id`).
Helper lives in a shared module so render + render-batch agree on the
parse + message. Tests cover both attribute orders, single/double
quotes, the silent paths, and the warning path. Best-effort regex over
the canonical attr shape — malformed HTML falls through to no warning
rather than blocking the render.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
Allows authored-at-1080p compositions to render at 4K/2K via Chrome
deviceScaleFactor supersampling without re-laying-out the composition.
Plain --width 3840 silently lays out at 1920×1080 because data-width/
data-height attrs override Config.width — this flag is the supported
way to ask the renderer to supersample.
Accepts canonical CanvasResolution names (landscape, landscape-4k,
portrait, portrait-4k, square, square-4k) and aliases (1080p, 4k, uhd,
hd, 1080p-portrait, 4k-portrait, 1080p-square, 4k-square). Wired
through render + render-batch.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
New subcommand for automated template-rendering pipelines. Given a
project dir + a JSONL batch file, fans out N personalised renders by
calling renderToLambda once per batch row with per-entry variables and
outputKey:
hyperframes lambda render-batch ./my-template \
--batch ./users.jsonl \
--width 1920 --height 1080 \
--max-concurrent 10
JSONL format (one JSON object per line):
{"outputKey": "renders/alice.mp4", "variables": {"name": "Alice"}}
{"outputKey": "renders/bob.mp4", "variables": {"name": "Bob"}}
The verb deploys the site once and reuses it across renders (--site-id
skips the deploy when the project was pre-uploaded). Concurrent Step
Functions starts are capped at --max-concurrent (default 50) via a
semaphore so a 10 000-entry batch doesn't try to spawn 10 000
executions simultaneously and trip the AWS account's concurrent-
execution quota.
Per-entry results land in a manifest (one row per input line) with
executionArn + status. --json emits the manifest as machine-readable
JSON. --dry-run prints the manifest with status: "would-invoke" for
every entry without calling AWS, so callers can lint their batch file
before paying for N executions.
Variables in each batch entry pre-validate against the composition's
data-composition-variables declaration (mirroring the local
hyperframes render UX). --strict-variables aborts the run on the first
failing entry before any AWS call. The reportVariableIssues helper from
PR 9.3 is reused so the warning format matches the single-render path
exactly.
Distinction from --max-parallel-chunks: --max-concurrent caps
ORCHESTRATOR-side fan-out (how many StartExecution calls run at once);
--max-parallel-chunks caps chunks PER render. AWS account-level Lambda
concurrent-execution limits live one level up and render-batch can't
enforce those; pick --max-concurrent based on your account quota +
the reserved concurrency you provisioned via lambda deploy.
Tests cover the concurrency-cap semaphore (preserve-order,
peak-in-flight, empty-input, limit > inputs.length, propagate
rejection) and the JSONL parser (blank-line handling, malformed JSON,
missing outputKey, non-object variables).
Phase 9 PR 9.4 of the distributed rendering plan.
Via