Commit Graph
2 Commits
Author SHA1 Message Date
dtourolleandClaude Opus 5 2ac069a6b3 Index the library's faces, and group them into people
Wires dr-face to dr-catalog: a background sweep that reads the proxy the
grid already built, detects, aligns, embeds and stores, then a clustering
pass that turns those embeddings into suggested people.

Detection runs on the Large thumbnail tier and nowhere else. That is what
makes the feature affordable -- a browsed library has already paid for
its proxies, so face indexing adds no RAW decode that was not already
happening -- and it is why an image whose proxy is missing is skipped
rather than fetched: requesting one here would put face indexing on the
network path FR-CULL-8 keeps it off.

The sweep keeps no cursor. It asks the catalog what is missing, so it
resumes after process death with no repeated work beyond the in-flight
image, and cancelling is dropping the receiver.

recluster writes only the suggested half. Confirmed faces go in as
anchors and come back untouched, and a cluster of one stays nameless --
naming every stray face would fill the People view with noise the user
then has to dismiss.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-26 20:49:30 +02:00
dtourolle c8bb08e661 Add folder scan with format selection; validate A3 on a real library
Library setup as the user described it: pick a folder, choose which RAW
types to look for, scan recursively.

  dr-types::FormatFilter  the tick-box selection, seeing through VFS
                          placeholder suffixes so a dehydrated CR2 still
                          matches as a CR2
  dr-sync::scan           recursive walk, Depth:1 per directory, pruning
                          unchanged subtrees where the backend propagates
                          directory ETags

Verified against nextcloud.tourolle.paris (34.0.2) on a real library:

  browse root      32 entries, 98ms
  scan PhotosRaw   17,185 RAW files in 334 directories, 34.1s
                   (7,836 CR2 + 9,349 DNG)
  range read       262KB of a 21.5MB DNG in 119ms — 1.22% of the file,
                   and enough to read "Canon EOS 6D | ISO 100"

That last line is assumption A3 validated on real data. Cataloguing this
library by whole-file fetch would move roughly 370GB; the range path
moves a few MB.

Pruning is capability-gated rather than assumed: with per-entry ETags a
probe costs a request and proves nothing about children, so it is skipped
entirely. A test asserts zero probes in that case.

Still unresolved: /core/preview returns 400 for every parameter
combination tried, including on a JPEG the server reports as having a
preview. Not a request-shape bug — it fails identically bare. Recorded
rather than worked around; ARCH §6.7 already treats server previews as
opportunistic, so nothing depends on it.
2026-08-09 12:22:31 +02:00