Andrii VolkovandClaude Opus 5.5 330f80fcf5 fix(format): open large .fig files ...

A real 705 MB .fig file (401 644 nodes, 894 004 layers once instances are
expanded) didn't open: "message: too many values". Lifting that cap alone
made it import only its first 200 000 layers, and lifting that one took
41 GB of memory.

The global caps stay as they are. The .fig import gets budgets from the
size of its compressed canvas instead (counted up to the file's own size),
not from the message it unpacks to, since chunks inflate up to 512 MB:
- the kiwi value budget is one value per 2 bytes of the canvas, at least
  the old 20 million (kiwi is only read for .fig files);
- the layer cap is one layer per 32 bytes of the canvas, at least the REST
  import's 200 000 and at most 2 000 000. A small or crafted file can't
  expand its instances into millions of layers, however far it unpacks; the
  REST JSON import keeps 200 000.

Memory:
- The mapper no longer passes the document through `json!`, which serialises
  its arguments: the whole tree was deep-copied twice.
- Vector networks are built once per distinct network and handed to the REST
  importer beside the JSON (`vectorNetworkRef`), not written into it as JSON
  objects for every instance that shows them.
- Decoded kiwi objects are trimmed, and each import stage's input is dropped
  as soon as the next stage is built.

On that file: peak footprint 41 GB -> 11.3 GB, 67 s -> 25 s.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YQxjkNSUJhTkTfY74aNeki

2026-10-17 11:29:41 +03:00

..

src

fix(format): open large .fig files

2026-10-17 11:29:41 +03:00

tests

Merge main into #549: keep #539's whole URL and add the empty-URL arm

2026-10-16 02:33:05 +07:00

Cargo.toml

M7: .fig export: one-sided stroke widths as outlines, bound layer fields name their field; docs

2026-10-13 10:05:39 +07:00