drjones 3f67efb379 Add smart recategorize (auto-discovered categories) and fix stale category-keyword accumulation ...

- New "Smart Recategorize" panel: analyzes existing journal descriptions
  (no vision re-run, no images touched) to propose a richer category list
  when one bucket dominates the library, then reclassifies every tagged
  photo into it using a fast local text-only model pass in batches of 25.
  Verified end-to-end on the real library: correctly split "Objects &
  Stuff" (35% of 15k photos) into specific categories like Electronics &
  Hardware, Cannabis Cultivation, Minerals & Crystals, Tools & Workshop
  based on what's actually in the descriptions.
- New ollama_generate_text() for text-only local model calls (the
  existing ollama_generate always sent an "images" key, unsuitable for
  pure text classification).
- FIX: write_metadata only ever appended category/photon-tagged keywords
  (+=) to the list-type XMP/IPTC tags, so retagging a photo left every
  category it ever had stacked in its metadata, and even rewriting with
  the same category duplicated "photon-tagged" each time. Found via a
  live test while building this feature (which recategorizes at library
  scale). Now strips old values before adding, making every write
  idempotent regardless of how many times a photo is retagged. Wired
  through all four write sites (pipeline, write_single, redo_single,
  bulk_recategorize).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

2026-07-29 17:16:00 -07:00

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