- Duplicate scanner now runs a full-file hash pass (Phase 3) for large
files (> 64 KB) after the sample-hash shortlist, preventing false
positives from reaching the destructive deletion workflow
- delete_images_from_disk now attempts filesystem removal before touching
the DB; only successfully deleted files have their rows removed,
keeping locked/permission-denied files visible in the library
- AI tag upsert guards user-sourced rows with WHERE source != 'user' so
a tagger re-run cannot silently overwrite manually added tags
- clear_tagging_jobs excludes 'cancelled' rows from the immediate DELETE
so the worker can observe cancellation via is_tagging_job_cancelled
before the rows are cleaned up at next startup
Register the Tauri notification plugin and request notification permission during startup. Send completion notifications for folder scans, embeddings, AI tagging, and duplicate scans, including failure counts where available.
Include tags used by a single image in Explore and invalidate the tag cache after edits so changes appear immediately. Add an accessible, time-limited confirmation step before removing indexed folders from the sidebar.
Move sqlite-vec embedding deletions outside the image transaction to avoid transactional virtual-table failures. Emit a terminal indexing progress event on errors so the frontend reloads partial state and clears its active scan state.
Adds a "Search within image" button to the lightbox that lets the user
draw a crop region on an image and find visually similar results using
that crop's embedding. The crop is embedded in-memory without a temp
file via a new embed_image_crop method on ClipImageEmbedder.
Introduces a folder-scoped cosine search (search_image_ids_by_embedding_in_folder)
to support the current-folder scope option, and wires up the new
find_similar_by_region Tauri command end-to-end from Rust through to
the Zustand store and Lightbox UI.
Introduces tagger.rs for WD-based image tagging with CSV label support.
Adds csv, ureq, and zip dependencies; updates gitignore to exclude Python/JSON files.
- Fix root cause: embedding_source_path() returns Result<PathBuf>, returning
Err for videos without a thumbnail instead of silently falling back to the
raw .mp4 path that CLIP cannot decode
- indexer: split embedding batch into pre-failed (no source) and embeddable
jobs; pre-failed are marked immediately without hitting the CLIP model
- db: retry_failed_embedding_jobs skips videos still without a thumbnail so
they no longer re-fail immediately on retry
- Add get_failed_embedding_images command listing failed files + error per folder
- Gallery: amber warning badge on tiles with embedding_status = 'failed'
- BackgroundTasks: fetch and show failed filenames/errors in expanded panel
- Toolbar: conditional 'Failed Embeddings' amber filter pill shown when any
folder has embedding_failed > 0; filters at DB level via new
embedding_failed_only param on get_images / count_images
- TagCloud: replaced vocabulary/dictionary label system with representative
image thumbnails per cluster; results cached in SQLite by image-id hash
Introduces an Explore view with a tag cloud that clusters image embeddings
using cosine k-means and labels clusters via vocabulary-nearest-neighbour
CLIP matching. Vocabulary embeddings are disk-cached (FNV hash-keyed) to
avoid redundant inference. Enables CUDA for candle dependencies and adds a
build.rs check that surfaces a clear error when the toolkit is missing.
- make Candle CUDA support opt-in so default builds work on CPU-only machines
- improve semantic search loading and empty states in the gallery
- keep semantic search UX clearer when no matches are found
Refs: #4
- add semantic text search with toolbar mode switching and sqlite-vec query support
- improve embedding progress visibility, failure recovery, and similar-image affordances
- add search clearing and keyboard controls for filename vs semantic search modes
- refine background task interactions and gallery/lightbox embedding states
Refs: #4
- add Candle + HF Hub CLIP image embedding pipeline with background embedding worker
- write image embeddings into sqlite-vec and expose similar-image lookup through a new backend command
- surface embedding progress and recovery in the UI, including retries for failed embeddings
- improve gallery/lightbox embedding UX and make similar-image actions directly accessible
Refs: #3, #4
Sets up Tauri v2 + React frontend with SQLite metadata store,
sqlite-vec for CLIP embedding infrastructure, and r2d2 connection
pool replacing the single Arc<Mutex<Connection>>. Indexer now uses
rayon for parallel file metadata collection.
LyAhn