Canvas (prev commit) made the big-track map self-recover but the Chromium compositor still hit 'tile memory limits exceeded' ~46x and 10k segments still janked. Three cheap levers: - tilecache: keepBuffer 2->1 and updateWhenZooming:false - fewer retained off-screen tiles in the compositor's raster budget on a high-DPI screen. - track/roads polylines: smoothFactor 2.5 (Douglas-Peucker in pixels) - a 10k-point track draws far fewer segments zoomed out, full detail zoomed in. - POI: cap markers by zoom (z>=16:500, 15:200, 14:80, 13:30) instead of a flat 500 - a handful near min-zoom, everything only when zoomed in close.
220 lines
7.2 KiB
JavaScript
220 lines
7.2 KiB
JavaScript
// Offline tile cache — download OSM tiles to IndexedDB, serve locally
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// Exposes window.TileCache
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const TileCache = {};
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const DB_NAME = "baldav_tiles";
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const STORE = "tiles";
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let _db = null;
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function openDB() {
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if (_db) return Promise.resolve(_db);
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return new Promise((resolve, reject) => {
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const req = indexedDB.open(DB_NAME, 1);
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req.onupgradeneeded = () => req.result.createObjectStore(STORE);
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req.onsuccess = () => { _db = req.result; resolve(_db); };
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req.onerror = () => reject(req.error);
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});
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}
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function putTile(key, blob) {
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return openDB().then(db => new Promise((resolve, reject) => {
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const tx = db.transaction(STORE, "readwrite");
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tx.objectStore(STORE).put(blob, key);
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tx.oncomplete = resolve;
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tx.onerror = () => reject(tx.error);
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}));
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}
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function getTile(key) {
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return openDB().then(db => new Promise((resolve, reject) => {
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const tx = db.transaction(STORE, "readonly");
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const req = tx.objectStore(STORE).get(key);
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req.onsuccess = () => resolve(req.result || null);
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req.onerror = () => reject(req.error);
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}));
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}
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// Count cached tiles
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TileCache.count = async function() {
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const db = await openDB();
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return new Promise((resolve, reject) => {
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const tx = db.transaction(STORE, "readonly");
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const req = tx.objectStore(STORE).count();
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req.onsuccess = () => resolve(req.result);
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req.onerror = () => reject(req.error);
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});
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};
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// Clear all cached tiles
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TileCache.clear = async function() {
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const db = await openDB();
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return new Promise((resolve, reject) => {
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const tx = db.transaction(STORE, "readwrite");
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tx.objectStore(STORE).clear();
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tx.oncomplete = resolve;
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tx.onerror = () => reject(tx.error);
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});
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};
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// Calculate tile coordinates for a bounding box at a given zoom
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function getTileRange(bounds, zoom) {
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const n = Math.pow(2, zoom);
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const toTile = (lat, lon) => ({
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x: Math.floor((lon + 180) / 360 * n),
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y: Math.floor((1 - Math.log(Math.tan(lat * Math.PI / 180) + 1 / Math.cos(lat * Math.PI / 180)) / Math.PI) / 2 * n),
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});
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const sw = toTile(bounds.getSouth(), bounds.getWest());
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const ne = toTile(bounds.getNorth(), bounds.getEast());
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return {
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xMin: Math.min(sw.x, ne.x), xMax: Math.max(sw.x, ne.x),
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yMin: Math.min(sw.y, ne.y), yMax: Math.max(sw.y, ne.y),
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};
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}
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// Count tiles needed for area + zoom range
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TileCache.countTilesForArea = function(bounds, zoomMin, zoomMax) {
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let total = 0;
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for (let z = zoomMin; z <= zoomMax; z++) {
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const r = getTileRange(bounds, z);
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total += (r.xMax - r.xMin + 1) * (r.yMax - r.yMin + 1);
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}
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return total;
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};
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// Download tiles for current map bounds
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// onProgress(downloaded, total) callback
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TileCache.downloadArea = async function(bounds, zoomMin, zoomMax, onProgress) {
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const tiles = [];
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for (let z = zoomMin; z <= zoomMax; z++) {
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const r = getTileRange(bounds, z);
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for (let x = r.xMin; x <= r.xMax; x++) {
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for (let y = r.yMin; y <= r.yMax; y++) {
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tiles.push({ z, x, y });
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}
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}
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}
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let done = 0;
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const PARALLEL = 12;
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async function downloadOne(tile) {
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const key = `${tile.z}/${tile.x}/${tile.y}`;
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// Skip if already cached
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const existing = await getTile(key);
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if (existing) { done++; if (onProgress) onProgress(done, tiles.length); return; }
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const url = `https://a.tile.openstreetmap.org/${key}.png`;
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try {
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const resp = await fetch(url);
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if (resp.ok) {
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const blob = await resp.blob();
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await putTile(key, blob);
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}
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} catch { /* skip failed tiles */ }
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done++;
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if (onProgress) onProgress(done, tiles.length);
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}
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// Process in parallel batches
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for (let i = 0; i < tiles.length; i += PARALLEL) {
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const batch = tiles.slice(i, i + PARALLEL);
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await Promise.all(batch.map(downloadOne));
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}
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return done;
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};
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// Custom Leaflet TileLayer that checks IndexedDB first
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TileCache.createLayer = function() {
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return L.TileLayer.extend({
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options: {
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// Keep fewer off-screen tile rings and don't reload tiles mid-zoom: on a high-DPI
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// screen the compositor's raster-tile budget (cc/tiles "tile memory limits exceeded")
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// is filled by the map tiles themselves, so trimming retained tiles keeps content drawing.
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keepBuffer: 1, // default 2
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updateWhenZooming: false, // defer tile loads until the zoom gesture settles
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},
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createTile: function(coords, done) {
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const tile = document.createElement("img");
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const key = `${coords.z}/${coords.x}/${coords.y}`;
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const url = `https://a.tile.openstreetmap.org/${key}.png`;
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const show = (blob) => { tile.src = URL.createObjectURL(blob); done(null, tile); };
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// Fetch ONCE: cache and display from the same response. The old code loaded the
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// display <img> from the URL and cached via a SEPARATE fetch — on a flaky mobile
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// link that second request often failed, so tiles showed but were never cached,
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// and re-zooming re-fetched them. One fetch → every shown tile is also cached.
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const fetchAndCache = () => {
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fetch(url).then(async resp => {
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if (!resp.ok) throw new Error("http " + resp.status);
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const blob = await resp.blob();
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putTile(key, blob).catch(() => {});
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show(blob);
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}).catch(() => {
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// fetch blocked/failed → last resort plain <img> (no caching)
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tile.src = url;
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tile.onload = () => done(null, tile);
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tile.onerror = () => done(null, tile);
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});
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};
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getTile(key).then(blob => {
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if (blob) { show(blob); }
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else if (TileCache.offlineMode) { done(null, tile); } // offline + not cached → empty
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else { fetchAndCache(); }
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}).catch(() => {
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if (TileCache.offlineMode) { done(null, tile); return; }
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fetchAndCache();
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});
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return tile;
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}
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});
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};
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// Offline mode — when true, tiles only served from cache, never fetched from network
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TileCache.offlineMode = false;
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TileCache.setOfflineMode = function(val) {
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TileCache.offlineMode = !!val;
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localStorage.setItem("baldav_offline_maps", val ? "1" : "0");
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};
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TileCache.loadOfflineMode = function() {
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TileCache.offlineMode = localStorage.getItem("baldav_offline_maps") === "1";
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};
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TileCache.loadOfflineMode();
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// Import tiles from a SQLite file (packed by tools/pack_tiles.js) into IndexedDB
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// path: filesystem path to the .db file
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// onProgress(done, total): callback
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TileCache.importFromSqlite = async function(path, onProgress) {
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const invoke = window.__TAURI__.core.invoke;
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const BATCH = 100;
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let offset = 0;
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let total = 0;
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let imported = 0;
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while (true) {
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const raw = await invoke("import_tiles", { path, offset, batchSize: BATCH });
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const resp = JSON.parse(raw);
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total = resp.total;
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for (const [key, b64] of resp.tiles) {
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const binary = atob(b64);
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const bytes = new Uint8Array(binary.length);
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for (let i = 0; i < binary.length; i++) bytes[i] = binary.charCodeAt(i);
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await putTile(key, new Blob([bytes], { type: "image/png" }));
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imported++;
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}
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if (onProgress) onProgress(imported, total);
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if (!resp.has_more) break;
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offset += BATCH;
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}
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return imported;
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};
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window.TileCache = TileCache;
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console.log("[tilecache.js] window.TileCache ready, offline:", TileCache.offlineMode);
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