feat(settings): add "Rebuild semantic index" maintenance action
Drops and recreates the sqlite-vec tables at the current model dimension, then re-queues every image for embedding. Fixes "dimension mismatch" search errors that occur when the vector table was built for a different model/dimension (e.g. after experimenting with 768-dim models against this 512-dim build). The rebuild runs under the embedding worker's DB write lock and resets the job queue inside a single transaction, so it can't interleave with an in-flight embedding batch (per code review).
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@@ -1987,6 +1987,14 @@ pub async fn vacuum_database(
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})
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}
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#[tauri::command]
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pub async fn rebuild_semantic_index(db: State<'_, DbState>) -> Result<usize, String> {
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let conn = db.get().map_err(|e| e.to_string())?;
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// Serialize against the embedding worker (which writes under the same lock)
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// so the rebuild can't interleave with an in-flight embedding batch.
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indexer::with_db_write_lock(|| db::reset_all_embeddings(&conn)).map_err(|e| e.to_string())
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}
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#[derive(serde::Serialize)]
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pub struct OrphanedThumbnailsInfo {
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pub count: u64,
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@@ -496,6 +496,41 @@ pub fn repair_embedding_consistency(conn: &Connection) -> Result<(usize, usize)>
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Ok((orphaned_vectors, missing_vector_ids.len()))
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}
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/// Full semantic-index rebuild: recreate the vector tables at the current model
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/// dimension and re-queue every image for embedding. Used by the maintenance
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/// action when the index is stale or its dimension no longer matches the model
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/// (which otherwise surfaces as a "dimension mismatch" search error). Returns the
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/// number of images re-queued.
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pub fn reset_all_embeddings(conn: &Connection) -> Result<usize> {
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// Recreate the vector tables at the current model dimension first (DDL, kept
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// out of the transaction below). The caller holds the DB write lock, so the
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// embedding worker can't interleave a write between this and the queue reset.
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vector::rebuild_tables(conn)?;
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let tx = conn.unchecked_transaction()?;
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tx.execute(
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"UPDATE images
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SET embedding_status = 'pending',
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embedding_model = NULL,
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embedding_updated_at = NULL,
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embedding_error = NULL",
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[],
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)?;
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tx.execute("DELETE FROM embedding_jobs", [])?;
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let queued = tx.execute(
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"INSERT INTO embedding_jobs (image_id, status, attempts, last_error, created_at, updated_at)
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SELECT id, 'pending', 0, NULL, datetime('now'), datetime('now')
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FROM images",
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[],
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)?;
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tx.execute(
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"INSERT INTO app_kv (key, value) VALUES ('embedding_revision', 1)
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ON CONFLICT(key) DO UPDATE SET value = value + 1",
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[],
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)?;
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tx.commit()?;
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Ok(queued)
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}
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pub fn retry_failed_embedding_jobs(conn: &Connection, folder_id: i64) -> Result<usize> {
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// Only re-queue images that are actually embeddable right now.
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// Videos without a thumbnail would just fail again immediately, so skip them —
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@@ -1288,7 +1288,7 @@ fn max_worker_fetch_size(active_folders: &HashSet<i64>) -> usize {
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.unwrap_or(StorageProfile::Balanced.worker_fetch_size())
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}
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fn with_db_write_lock<T>(operation: impl FnOnce() -> Result<T>) -> Result<T> {
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pub fn with_db_write_lock<T>(operation: impl FnOnce() -> Result<T>) -> Result<T> {
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let lock = DB_WRITE_LOCK.get_or_init(|| Mutex::new(()));
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let _guard = lock.lock().unwrap();
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operation()
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@@ -192,6 +192,7 @@ pub fn run() {
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commands::open_app_data_folder,
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commands::get_database_info,
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commands::vacuum_database,
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commands::rebuild_semantic_index,
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commands::get_orphaned_thumbnails_info,
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commands::cleanup_orphaned_thumbnails,
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commands::get_muted_folder_ids,
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@@ -36,6 +36,18 @@ pub fn migrate(conn: &Connection) -> Result<()> {
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Ok(())
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}
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/// Drop and recreate the vector tables at the current `CLIP_VECTOR_DIM`. Used by
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/// the "Rebuild semantic index" maintenance action when stored vectors no longer
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/// match the active model's dimension (e.g. after switching embedding models),
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/// so the columns are rebuilt to the right size before embeddings regenerate.
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pub fn rebuild_tables(conn: &Connection) -> Result<()> {
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conn.execute_batch(
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"DROP TABLE IF EXISTS image_vec;
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DROP TABLE IF EXISTS caption_vec;",
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)?;
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migrate(conn)
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}
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#[allow(dead_code)]
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pub fn delete_embedding(conn: &Connection, image_id: i64) -> Result<()> {
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conn.execute("DELETE FROM image_vec WHERE image_id = ?1", [image_id])?;
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@@ -138,6 +138,8 @@ export function SettingsModal() {
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const [dbInfo, setDbInfo] = useState<DatabaseInfo | null>(null);
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const [vacuuming, setVacuuming] = useState(false);
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const [vacuumResult, setVacuumResult] = useState<VacuumResult | null>(null);
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const [rebuildingIndex, setRebuildingIndex] = useState(false);
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const [rebuildIndexResult, setRebuildIndexResult] = useState<string | null>(null);
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const [thumbnailInfo, setThumbnailInfo] = useState<OrphanedThumbnailsInfo | null>(null);
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const [cleaningThumbnails, setCleaningThumbnails] = useState(false);
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const [thumbnailCleanupResult, setThumbnailCleanupResult] = useState<CleanupOrphanedThumbnailsResult | null>(null);
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@@ -184,6 +186,7 @@ export function SettingsModal() {
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const setNotificationsPaused = useGalleryStore((state) => state.setNotificationsPaused);
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const getDatabaseInfo = useGalleryStore((state) => state.getDatabaseInfo);
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const vacuumDatabase = useGalleryStore((state) => state.vacuumDatabase);
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const rebuildSemanticIndex = useGalleryStore((state) => state.rebuildSemanticIndex);
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const getOrphanedThumbnailsInfo = useGalleryStore((state) => state.getOrphanedThumbnailsInfo);
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const cleanupOrphanedThumbnails = useGalleryStore((state) => state.cleanupOrphanedThumbnails);
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const appVersion = useGalleryStore((state) => state.appVersion);
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@@ -799,6 +802,42 @@ export function SettingsModal() {
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</button>
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</SettingsItem>
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<SettingsItem
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label="Rebuild semantic index"
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description={
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<>
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<span>
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Recreates the visual-embedding index and re-embeds every image in the
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background. Use this if semantic or similar-image search reports a
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dimension-mismatch error (for example after experimenting with a
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different embedding model).
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</span>
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{rebuildIndexResult !== null ? (
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<span className="mt-2 block text-gray-600">{rebuildIndexResult}</span>
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) : null}
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</>
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}
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>
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<button
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className="rounded-md border border-white/10 bg-white/[0.055] px-3 py-1.5 text-xs text-gray-300 transition-colors hover:bg-white/10 hover:text-white disabled:cursor-not-allowed disabled:opacity-45 light-theme:border-gray-700/50 light-theme:bg-gray-900 light-theme:text-white light-theme:hover:bg-gray-800 light-theme:hover:text-white"
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onClick={() => {
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setRebuildingIndex(true);
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setRebuildIndexResult(null);
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void rebuildSemanticIndex()
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.then((count) =>
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setRebuildIndexResult(
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`Re-queued ${count.toLocaleString()} image${count === 1 ? "" : "s"} for embedding.`,
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),
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)
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.catch((error) => setRebuildIndexResult(String(error)))
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.finally(() => setRebuildingIndex(false));
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}}
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disabled={rebuildingIndex}
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>
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{rebuildingIndex ? "Rebuilding…" : "Rebuild index"}
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</button>
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</SettingsItem>
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<SettingsItem
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label="Thumbnail cache"
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description={
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@@ -467,6 +467,7 @@ interface GalleryState {
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openAppDataFolder: () => Promise<void>;
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getDatabaseInfo: () => Promise<DatabaseInfo>;
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vacuumDatabase: () => Promise<VacuumResult>;
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rebuildSemanticIndex: () => Promise<number>;
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getOrphanedThumbnailsInfo: () => Promise<OrphanedThumbnailsInfo>;
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cleanupOrphanedThumbnails: () => Promise<CleanupOrphanedThumbnailsResult>;
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retryFailedEmbeddings: (folderId: number) => Promise<void>;
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@@ -1858,6 +1859,8 @@ export const useGalleryStore = create<GalleryState>((set, get) => ({
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vacuumDatabase: () => invoke<VacuumResult>("vacuum_database"),
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rebuildSemanticIndex: () => invoke<number>("rebuild_semantic_index"),
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getOrphanedThumbnailsInfo: () => invoke<OrphanedThumbnailsInfo>("get_orphaned_thumbnails_info"),
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cleanupOrphanedThumbnails: () => invoke<CleanupOrphanedThumbnailsResult>("cleanup_orphaned_thumbnails"),
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