Commit Graph

5 Commits

Author SHA1 Message Date
032dce6c85 feat(sidecar): port Node prototype to Go + Gin + GORM + MariaDB
Replace the Node prototype (server.mjs) with the stack the merge plan
calls for: Go 1.25, Gin for routing, GORM + MariaDB for persistence.
Same wire contract on /api/sidecar/* so the SvelteKit client doesn't
change.

- Marks move from a JSON file on disk to mule_sidecar.marks (auto-
  migrated by GORM on first boot). The Node prototype's marks.json
  was dev-only; not migrated.
- Folder/rename/heap-convert/duplicates handlers reproduce the
  prototype's behaviour, including the path-traversal defence
  (resolveUnderRoot + EvalSymlinks), the size-bucket prefilter for
  the duplicate hasher, and the background reindex fire-and-forget
  pattern.
- Auth model unchanged: requireSession middleware proxies the
  caller's X-Auth-Token to PhotoPrism's /api/v1/photos?count=1
  before any destructive op.
- Expose pp-mariadb on 127.0.0.1:3306 in docker-compose so the
  host Go process can reach mule_sidecar.* without joining the
  container network.
- Archive the Node prototype under sidecar/legacy/server.mjs for
  one cycle as reference.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-17 17:15:47 +02:00
8c2526d982 feat: PhotoPrism M0 bring-up — compose stack, web client, sidecar, migrate
Replace the legacy mule-image backend with PhotoPrism plus a thin
SvelteKit client and a Node sidecar for endpoints PhotoPrism doesn't
expose (file rename), and add a two-phase migrator (metadata via PUT,
heaps → albums) for the existing Postgres library.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-17 16:06:58 +02:00
root
e974ffbfd2 feat: show source directories in library stats and settings UI
Add active source root directories to the library stats endpoint and
display them in the settings page. Hardcode container PHOTO_DIRS to
/photos since the volume mount handles host path mapping. Add .env to
.gitignore to prevent committing secrets.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 08:09:08 +02:00
fa9b21856f feat: replace face pipeline with InsightFace, add content classifier
Face detection/recognition:
- Replace YuNet + SFace with InsightFace buffalo_l (RetinaFace + ArcFace)
- 512-d ArcFace embeddings (was 128-d SFace), migration 0006 resizes column
- Remove YOLO person-bbox workaround — RetinaFace is accurate enough
- Detection threshold 0.65 cleanly separates real faces (0.72+) from
  false positives on dogs/paintings (0.56-0.61)

Content-type classification:
- CLIP zero-shot classifier using native PyTorch text encoder + ONNX
  image encoder for high-quality text-image similarity
- Categories: photograph, screenshot, document, receipt, meme, artwork
- Writes Tag(kind=content_type) per photo via photo_tags
- Margin-based confidence: top-1 vs top-2 score difference
- New ClassifierSettings in config (enabled, min_confidence)
- Wired into vision_fanout pipeline

Tested: 6 real faces from 4 photos (zero false positives), 11/13 photos
classified (8 photograph, 2 artwork, 1 meme).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 13:49:02 +02:00
46a0d7aba8 feat: structure 2026-04-06 23:30:19 +02:00