aaron
e38d283e59
Three files in the original ingest_failures cohort have been
characterized via direct OCR and confirmed to lack ingestible text:
- Presentations/Renders.pptx — 35 PICTURE-shape renders, 33/35 zero-char
on OCR, 2 with noise (20 and 29 chars).
- Presentations/Ribbon Cutting Slideshow.pptx — 10-slide event photo
deck, 9/10 zero-char, 1 with 17 chars of noise.
- Academic/DDF555 3D Computational/GH Slicer Notes [Autosaved].pptx —
Office autosave duplicate of GH Slicer Notes.pptx; first 9 images
byte-identical (sha256) to the canonical file. 2 net-new images
contribute 36 noisy chars. Excluding to prevent double-embedding the
same content under two source filenames.
Pattern matches f18fb64 (path.parts membership). Folder-level globs
were considered and rejected: /Presentations/ contains successfully
embedded text-bearing decks (aaronnelson_3D 4D.pptx,
aaronnelson_slideslam.pptx). Exact-name + parent-folder membership
applied in both watcher filter sites (get_changed_files and
IngestHandler._should_ignore).
The fourth file in the cohort, GH Slicer Notes.pptx (the canonical
non-autosave version), was confirmed to carry 379 chars of real text
(Grasshopper UI / code samples) across 6/9 images. It remains in
ingest_failures unresolved, awaiting the eventual ocrmypdf backlog
pass.
Cleanup: 3 ingest_failures rows resolved (the excluded files).
Unresolved count: 94 → 91.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>