- run_args_hash now covers (embed_args, generator_kwargs). When gen_kwargs
is empty we still hash embed_args alone — so plain generators (s_curve,
plain swiss_roll) keep their stems and no existing plain-gen figs need
renaming. Kwargs-bearing variants (swiss_roll_hole, blobs,
gaussian_quantiles, classification) now disambiguate properly.
- Flow persists generator_kwargs into metrics.json meta AND into the
frames.json sidecar meta, so the label-enrichment path can find it
without another lookup.
- _enrich_with_labels discovers gen_kwargs in priority: payload meta -->
sibling metrics.json --> DATASET_META first-match. It matches the
DATASET_META entry by (path, kwargs) so swiss_roll_hole is no longer
confused for plain swiss_roll.
- _cached_frames overrides meta.stem with the URL-requested stem before
enrichment — after a backfill rename the sidecar's baked-in stem is
stale, and we were then failing to find the sibling metrics.json.
- Submit duplicate-check uses the new hash and keeps the hashless-legacy
check as a safety net.
- backfill_hashes.py rewritten: queries Prefect for each recent run's
full params, finds the matching fig under any of (current, legacy,
hashless) names, renames to the current scheme and patches
generator_kwargs into metrics.json.
Reads each legacy <stem>.metrics.json for its embed_args, computes the
same sha1-8 digest main.py uses, renames the .html and its sidecars in
place. Skips Reference figs (no embed_args) and any fig lacking a
metrics.json (can't recover the hash from a missing sidecar).
