`score_crop` returns only scores the gallery already accepted: the raw 0.55
line, or the fine-tuned head's own 0.40. The live path then ranked that
aggregate with `decide_identity(scale="cosine")`, whose defaults rewrite to
COSINE_ACCEPT 0.60 / COSINE_AMBIGUOUS 0.50 - a second, higher line. Every head
match between 0.40 and 0.60 was therefore refused or downgraded to ambiguous,
which is the live regression: the head's own training views score 0.57-0.77.
`engine.inspect` and `_classify_with_gallery` already avoid this by ranking
through `decision_for_match`, which applies only the published margin. The live
path now does the same: on the cosine scale it passes explicit zero accept
lines, so the margin gate is the only extra gate.
Regression tests: a 0.45 head-scale match is labelled (fails on the previous
code), and a 0.45/0.44 pair inside the margin stays unnamed.
Verified: `python -m unittest discover -s code -p 'test_*.py'` - 257 tests, OK,
2 skipped.
The crop lane asked the phone for a full-resolution crop of a facing the
frame could not decide. Four defects made that unsafe or useless:
* A capability was half-applied. `crop: true` without a usable
`max_crop_bytes` enabled the lane on the client's say-so, leaving the two
sides believing different limits. A capability is now believed whole or
refused with BAD_MESSAGE, and the limit must be an integer in 1..1048576
(bool is an int in Python and is not a limit).
* A small JPEG could claim enormous dimensions. The header is now read
without decoding and anything over 4 megapixels is refused before the
decode allocates it.
* A request was single-use, so an expired one stranded a facing only the
crop lane could decide. The lane now spends the same max_attempts budget
the frame path spends, refilled on method change and on settled-label
drift, and a phone that never answers still cannot loop.
* A candidate could be asked about from a box the frame path would refuse:
clipped by the frame edge, carried over from an earlier frame, or measured
at a score the tracker does not trust. Both lanes now share one edge gate,
and only a track whose box this frame actually measured is asked about.
Drift and method change also cleared `identity` but left `confirmed = True`,
which permanently blocked both the crop lane and label inheritance for that
track; both now clear it, without which the budget reset was dead code.
Blur and glare are refused as whole-capture faults, while `too_far` is
exempt on purpose: a distant shelf is the one frame a native-resolution crop
exists to decide.
A tag is only readable when its own arithmetic corroborates the price, so the
fixture needs the 162.00 that belongs with its 150 (150 x 1.08 = 162.00). Without
it the fixture asserted the old behaviour.
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The engine owns the OCR backend, a shared OCR lock and a dedicated tag worker, so
a tag pass can never occupy a classification worker or slow a frame. A live
session plans rail bands on the frame loop (cheap), runs them on that worker, and
attaches whatever the cache already knows; a still runs one synchronous pass.
Tracks and detections now carry price_tag and reconciliation, and the summary
carries price_tags plus compliance. Config can turn tags off per session.
Compliance now fails closed on evidence quality. The first real run produced 106
"missing tag" violations on a shelf where only 8 tags were readable - our tag
*detection* was incomplete, not the shelf. A row is only judged when at least
half its facings carry tag evidence; otherwise it reports "tags detected for 14
of 91 facings in this row" as a hint. Missing-tag findings are one per row with a
count, not one per facing, and price_mismatch still reports every disagreement.
On add/image6.jpg the result is now 7 real price mismatches and no false
violations.
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
test_live: a product is unconfirmed, then labelled, without blocking frames; a
weak match never names a SKU and ends as needs_confirmation; a restarted id is
re-verified rather than inheriting its old label; inherited labels are flagged;
latest-frame-wins accounting; payload shape; glare hint; per-session
classification cap; a method change clears labels and drops late results.
test_api: health, catalog shape (no local paths), template-image 404s including
traversal-looking ids, stock validation, recognize over raw bytes and multipart,
415/422/400 with one error shape, classify/inspect roundtrip, IMAGE_EXPIRED,
token auth on REST and the socket, the WebSocket protocol (hello, frames,
config/reset/ping, recoverable BAD_FRAME and UNDECODABLE_IMAGE, inspect and
TRACK_NOT_IN_VIEW), the session limit, and the legacy session route.
Server fixes the tests forced out: FastAPI validation errors now use the same
{"error": {...}} envelope as every other failure, and the legacy session routes
accept a missing JSON body instead of returning 500.
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
