feat: initial Luma implementation
Full self-hosted photo manager with: - Ingestion worker (chokidar + sharp + exifr, dHash perceptual hashing) - SQLite schema with WAL mode (photos, tags, collections, duplicate_pairs) - Express API with keyset pagination, tag/collection/search/date filters - React + Vite UI: timeline, lightbox, detail panel, tag/collection editors - Duplicate detection (Union-Find grouping) with review + dismiss UI - Map view (Leaflet + OpenStreetMap, marker clustering) - Docker multi-stage build + Compose with inline env config - GitHub Actions: CI build check + ghcr.io image publish on main/tags Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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import Database from 'better-sqlite3';
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import path from 'path';
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import fs from 'fs';
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export function openDb(dbPath) {
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fs.mkdirSync(path.dirname(path.resolve(dbPath)), { recursive: true });
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const db = new Database(dbPath);
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db.pragma('journal_mode = WAL');
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db.pragma('foreign_keys = ON');
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db.exec(`
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CREATE TABLE IF NOT EXISTS photos (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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filepath TEXT NOT NULL UNIQUE,
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thumb_path TEXT,
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preview_path TEXT,
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date_taken TEXT,
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date_imported TEXT NOT NULL,
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camera_model TEXT,
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gps_lat REAL,
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gps_lon REAL,
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phash TEXT,
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width INTEGER,
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height INTEGER,
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filesize INTEGER
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);
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CREATE INDEX IF NOT EXISTS idx_photos_date_taken ON photos(date_taken);
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CREATE INDEX IF NOT EXISTS idx_photos_phash ON photos(phash);
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CREATE TABLE IF NOT EXISTS collections (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL UNIQUE,
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description TEXT,
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poster_path TEXT,
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created_at TEXT NOT NULL DEFAULT (datetime('now'))
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);
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CREATE TABLE IF NOT EXISTS photo_collections (
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photo_id INTEGER NOT NULL REFERENCES photos(id) ON DELETE CASCADE,
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collection_id INTEGER NOT NULL REFERENCES collections(id) ON DELETE CASCADE,
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PRIMARY KEY (photo_id, collection_id)
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);
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CREATE TABLE IF NOT EXISTS tags (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL UNIQUE
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);
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CREATE TABLE IF NOT EXISTS photo_tags (
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photo_id INTEGER NOT NULL REFERENCES photos(id) ON DELETE CASCADE,
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tag_id INTEGER NOT NULL REFERENCES tags(id) ON DELETE CASCADE,
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PRIMARY KEY (photo_id, tag_id)
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);
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CREATE TABLE IF NOT EXISTS duplicate_pairs (
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photo_id_a INTEGER NOT NULL REFERENCES photos(id) ON DELETE CASCADE,
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photo_id_b INTEGER NOT NULL REFERENCES photos(id) ON DELETE CASCADE,
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distance INTEGER NOT NULL,
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dismissed INTEGER NOT NULL DEFAULT 0,
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PRIMARY KEY (photo_id_a, photo_id_b),
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CHECK (photo_id_a < photo_id_b)
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);
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`);
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const s = {
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// Photos
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insert: db.prepare(`
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INSERT OR IGNORE INTO photos
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(filepath, thumb_path, preview_path, date_taken, date_imported,
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camera_model, gps_lat, gps_lon, phash, width, height, filesize)
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VALUES
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(@filepath, @thumb_path, @preview_path, @date_taken, @date_imported,
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@camera_model, @gps_lat, @gps_lon, @phash, @width, @height, @filesize)
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`),
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exists: db.prepare('SELECT 1 FROM photos WHERE filepath = ? LIMIT 1'),
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remove: db.prepare('DELETE FROM photos WHERE filepath = ?'),
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count: db.prepare('SELECT COUNT(*) AS n FROM photos'),
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// Tags
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tagByName: db.prepare('SELECT id, name FROM tags WHERE name = ?'),
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tagInsert: db.prepare('INSERT OR IGNORE INTO tags (name) VALUES (?)'),
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tagList: db.prepare(`
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SELECT t.id, t.name, COUNT(pt.photo_id) AS count
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FROM tags t LEFT JOIN photo_tags pt ON pt.tag_id = t.id
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GROUP BY t.id ORDER BY t.name
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`),
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tagOfPhoto: db.prepare(
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'SELECT t.id, t.name FROM tags t JOIN photo_tags pt ON pt.tag_id = t.id WHERE pt.photo_id = ? ORDER BY t.name'
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),
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tagAttach: db.prepare('INSERT OR IGNORE INTO photo_tags (photo_id, tag_id) VALUES (?, ?)'),
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tagDetach: db.prepare('DELETE FROM photo_tags WHERE photo_id = ? AND tag_id = ?'),
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// Collections
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colList: db.prepare(`
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SELECT c.id, c.name, c.description, c.created_at,
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COUNT(pc.photo_id) AS photo_count
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FROM collections c
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LEFT JOIN photo_collections pc ON pc.collection_id = c.id
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GROUP BY c.id ORDER BY c.name
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`),
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colInsert: db.prepare('INSERT INTO collections (name, description) VALUES (?, ?)'),
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colOfPhoto: db.prepare(
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'SELECT c.id, c.name FROM collections c JOIN photo_collections pc ON pc.collection_id = c.id WHERE pc.photo_id = ? ORDER BY c.name'
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),
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colAdd: db.prepare('INSERT OR IGNORE INTO photo_collections (photo_id, collection_id) VALUES (?, ?)'),
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colRemove: db.prepare('DELETE FROM photo_collections WHERE photo_id = ? AND collection_id = ?'),
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// Duplicates
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dupePairs: db.prepare(
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'SELECT photo_id_a, photo_id_b, distance FROM duplicate_pairs WHERE dismissed = 0'
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),
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dupePairCount: db.prepare(
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'SELECT COUNT(*) AS n FROM duplicate_pairs WHERE dismissed = 0'
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),
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};
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const addTagTx = db.transaction((photoId, tagName) => {
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s.tagInsert.run(tagName);
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const tag = s.tagByName.get(tagName);
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s.tagAttach.run(photoId, tag.id);
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return tag;
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});
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return {
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raw: db,
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// Photos
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insertPhoto: (row) => s.insert.run(row),
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hasPhoto: (fp) => !!s.exists.get(fp),
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removePhoto: (fp) => s.remove.run(fp),
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count: () => s.count.get().n,
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// Tags
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addTagToPhoto: (photoId, tagName) => addTagTx(photoId, tagName),
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removeTagFromPhoto: (photoId, tagId) => s.tagDetach.run(photoId, tagId),
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getPhotoTags: (photoId) => s.tagOfPhoto.all(photoId),
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listAllTags: () => s.tagList.all(),
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// Collections
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listCollections: () => s.colList.all(),
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createCollection: (name, desc) => {
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const info = s.colInsert.run(name, desc ?? null);
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return { id: info.lastInsertRowid, name, description: desc ?? null };
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},
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addPhotoToCollection: (photoId, colId) => s.colAdd.run(photoId, colId),
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removePhotoFromCollection:(photoId, colId) => s.colRemove.run(photoId, colId),
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getPhotoCollections: (photoId) => s.colOfPhoto.all(photoId),
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// Duplicates
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getDupePairs: () => s.dupePairs.all(),
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dismissDuplicates: (ids) => {
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const ph = ids.map(() => '?').join(',');
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db.prepare(
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`UPDATE duplicate_pairs SET dismissed = 1
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WHERE photo_id_a IN (${ph}) AND photo_id_b IN (${ph})`
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).run(...ids, ...ids);
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},
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};
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}
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import sharp from 'sharp';
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// dHash (difference hash): 9×8 → 64-bit comparison → 16-char hex string.
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// Two images with Hamming distance ≤ 10 are near-duplicates.
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export async function computeDHash(filepath) {
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const { data } = await sharp(filepath)
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.resize(9, 8, { fit: 'fill' })
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.greyscale()
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.raw()
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.toBuffer({ resolveWithObject: true });
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let hash = 0n;
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for (let row = 0; row < 8; row++) {
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for (let col = 0; col < 8; col++) {
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const left = data[row * 9 + col];
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const right = data[row * 9 + col + 1];
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hash = (hash << 1n) | (left < right ? 1n : 0n);
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}
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}
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return hash.toString(16).padStart(16, '0');
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}
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export function hammingDistance(a, b) {
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let xor = BigInt('0x' + a) ^ BigInt('0x' + b);
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let dist = 0;
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while (xor > 0n) {
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dist += Number(xor & 1n);
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xor >>= 1n;
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}
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return dist;
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}
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import 'dotenv/config';
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import chokidar from 'chokidar';
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import path from 'path';
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import { openDb } from './db.js';
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import { ingestFile, isSupported } from './ingest.js';
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const PHOTO_DIR = process.env.PHOTO_DIR ?? './photos';
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const DB_PATH = process.env.DB_PATH ?? './data/library.db';
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const POSTER_DIR = process.env.POSTER_DIR ?? './data/posters';
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const db = openDb(DB_PATH);
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console.log(`[worker] watching ${path.resolve(PHOTO_DIR)}`);
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console.log(`[worker] db at ${path.resolve(DB_PATH)} (${db.count()} photos indexed)`);
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// Serial queue: chokidar fires many 'add' events at once on startup;
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// process them one at a time to keep memory and I/O pressure low.
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const queue = [];
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let busy = false;
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async function drain() {
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if (busy) return;
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busy = true;
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while (queue.length > 0) {
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const fp = queue.shift();
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try {
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await ingestFile(fp, db, POSTER_DIR);
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} catch (err) {
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console.error(`[worker] ${path.basename(fp)}: ${err.message}`);
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}
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}
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busy = false;
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}
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const watcher = chokidar.watch(PHOTO_DIR, {
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persistent: true,
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ignoreInitial: false,
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awaitWriteFinish: { stabilityThreshold: 2000, pollInterval: 100 },
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ignored: /(^|[/\\])\../, // skip dotfiles
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});
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watcher.on('add', (fp) => {
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if (!isSupported(fp)) return;
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queue.push(path.resolve(fp));
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drain();
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});
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watcher.on('unlink', (fp) => {
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const resolved = path.resolve(fp);
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db.removePhoto(resolved);
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console.log(`[worker] removed ${path.basename(fp)}`);
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});
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watcher.on('error', (err) => console.error('[worker] watcher error:', err));
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process.on('SIGINT', () => {
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console.log('\n[worker] shutting down');
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watcher.close();
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process.exit(0);
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});
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@@ -0,0 +1,94 @@
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import path from 'path';
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import fs from 'fs';
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import crypto from 'crypto';
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import sharp from 'sharp';
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import exifr from 'exifr';
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import { computeDHash } from './hash.js';
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const SUPPORTED = new Set([
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'.jpg', '.jpeg', '.png', '.webp', '.heic', '.heif',
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'.tiff', '.tif', '.gif', '.avif',
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]);
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export function isSupported(filepath) {
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return SUPPORTED.has(path.extname(filepath).toLowerCase());
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}
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export async function ingestFile(filepath, db, posterDir) {
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if (db.hasPhoto(filepath)) return;
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const stat = fs.statSync(filepath);
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let exif = {};
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try {
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exif = await exifr.parse(filepath, {
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pick: ['DateTimeOriginal', 'Make', 'Model', 'Orientation'],
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gps: true,
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}) ?? {};
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} catch {}
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const dateTaken = exif.DateTimeOriginal ?? null;
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const cameraModel = [exif.Make, exif.Model].filter(Boolean).join(' ') || null;
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const gpsLat = exif.latitude ?? null;
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const gpsLon = exif.longitude ?? null;
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const { dir, thumb, preview } = posterPaths(filepath, posterDir, dateTaken ?? stat.mtime);
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fs.mkdirSync(dir, { recursive: true });
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let width = null, height = null;
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try {
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const meta = await sharp(filepath, { failOn: 'none' }).metadata();
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width = meta.width;
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height = meta.height;
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await sharp(filepath, { failOn: 'none' })
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.rotate()
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.resize(400, 400, { fit: 'inside', withoutEnlargement: true })
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.jpeg({ quality: 80 })
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.toFile(thumb);
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await sharp(filepath, { failOn: 'none' })
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.rotate()
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.resize(1600, 1600, { fit: 'inside', withoutEnlargement: true })
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.jpeg({ quality: 85 })
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.toFile(preview);
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} catch (err) {
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console.error(`[ingest] poster failed ${path.basename(filepath)}: ${err.message}`);
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return;
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}
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let phash = null;
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try { phash = await computeDHash(filepath); } catch {}
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db.insertPhoto({
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filepath,
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thumb_path: thumb,
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preview_path: preview,
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date_taken: dateTaken ? new Date(dateTaken).toISOString() : null,
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date_imported: new Date().toISOString(),
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camera_model: cameraModel,
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gps_lat: gpsLat,
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gps_lon: gpsLon,
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phash,
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width,
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height,
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filesize: stat.size,
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});
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console.log(`[ingest] ${path.basename(filepath)}`);
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}
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function posterPaths(filepath, posterDir, date) {
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const id = crypto.createHash('sha1').update(filepath).digest('hex').slice(0, 10);
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const stem = path.basename(filepath, path.extname(filepath));
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const name = `${id}_${stem}`;
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const d = new Date(date);
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const folder = `${d.getFullYear()}/${String(d.getMonth() + 1).padStart(2, '0')}`;
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const dir = path.join(posterDir, folder);
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return {
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dir,
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thumb: path.join(dir, `${name}_thumb.jpg`),
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preview: path.join(dir, `${name}_preview.jpg`),
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};
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}
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