feat: script nén ảnh panorama + LQIP

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

.gitignore

@@ -41,3 +41,6 @@ yarn-error.log*
 next-env.d.ts
 
 .vercel
+
+# ảnh gốc trước khi nén (backup cục bộ)
+/image-originals

scripts/optimize-images.mjs

@@ -0,0 +1,85 @@
+// Nén ảnh panorama + modal, backup bản gốc, sinh ảnh mờ (LQIP).
+// Chạy: node scripts/optimize-images.mjs  (chạy lại nhiều lần an toàn — luôn nén từ backup gốc)
+import sharp from "sharp";
+import { promises as fs } from "node:fs";
+import path from "node:path";
+
+const ROOT = process.cwd();
+const PANO_DIR = path.join(ROOT, "public/images/chua-thai-lac");
+const MODAL_DIR = path.join(ROOT, "public/modal");
+const BACKUP_DIR = path.join(ROOT, "image-originals");
+const LQIP_OUT = path.join(ROOT, "src/app/tours/chua-thai-lac.lqip.ts");
+
+const PANO_WIDTH = 6144;
+const PANO_QUALITY = 80;
+const LQIP_WIDTH = 32;
+const MODAL_FILES = ["modal-1.png", "modal-2.png"];
+
+const fmt = (b) => (b / 1024 / 1024).toFixed(2) + "MB";
+const ensureDir = (d) => fs.mkdir(d, { recursive: true });
+const exists = (p) => fs.access(p).then(() => true).catch(() => false);
+
+// Đảm bảo ảnh gốc đã được backup; luôn ĐỌC từ backup để không nén chồng.
+async function sourceFrom(destPath, backupSubdir) {
+  const name = path.basename(destPath);
+  const backupPath = path.join(BACKUP_DIR, backupSubdir, name);
+  await ensureDir(path.dirname(backupPath));
+  if (!(await exists(backupPath))) {
+    await fs.copyFile(destPath, backupPath);
+  }
+  return backupPath;
+}
+
+async function optimizePanoramas() {
+  const files = (await fs.readdir(PANO_DIR)).filter((f) => /\.jpe?g$/i.test(f)).sort();
+  const lqip = {};
+  for (const f of files) {
+    const dest = path.join(PANO_DIR, f);
+    const src = await sourceFrom(dest, "chua-thai-lac");
+    const before = (await fs.stat(dest)).size;
+
+    const buf = await sharp(src)
+      .rotate()
+      .resize({ width: PANO_WIDTH, withoutEnlargement: true })
+      .jpeg({ quality: PANO_QUALITY, mozjpeg: true, progressive: true })
+      .toBuffer();
+    await fs.writeFile(dest, buf);
+
+    const lqipBuf = await sharp(src).rotate().resize({ width: LQIP_WIDTH }).jpeg({ quality: 40 }).toBuffer();
+    lqip["/images/chua-thai-lac/" + f] = "data:image/jpeg;base64," + lqipBuf.toString("base64");
+
+    console.log(`${f}: ${fmt(before)} -> ${fmt(buf.length)} (-${Math.round((1 - buf.length / before) * 100)}%)`);
+  }
+  return lqip;
+}
+
+async function optimizeModals() {
+  for (const f of MODAL_FILES) {
+    const dest = path.join(MODAL_DIR, f);
+    if (!(await exists(dest))) continue;
+    const src = await sourceFrom(dest, "modal");
+    const before = (await fs.stat(dest)).size;
+    const buf = await sharp(src).png({ compressionLevel: 9, palette: true, quality: 90, dither: 1 }).toBuffer();
+    await fs.writeFile(dest, buf);
+    console.log(`${f}: ${fmt(before)} -> ${fmt(buf.length)}`);
+  }
+}
+
+async function writeLqip(lqip) {
+  const entries = Object.entries(lqip)
+    .map(([k, v]) => `  ${JSON.stringify(k)}: ${JSON.stringify(v)},`)
+    .join("\n");
+  const content =
+    "// TỰ ĐỘNG SINH bởi scripts/optimize-images.mjs — KHÔNG sửa tay.\n" +
+    "// Ảnh mờ tạm (blur-up/LQIP) base64 cho mỗi panorama, khoá theo đường dẫn ảnh.\n" +
+    "export const lqip: Record<string, string> = {\n" +
+    entries +
+    "\n};\n";
+  await fs.writeFile(LQIP_OUT, content);
+  console.log("Wrote " + path.relative(ROOT, LQIP_OUT) + " (" + Object.keys(lqip).length + " entries)");
+}
+
+const lqip = await optimizePanoramas();
+await optimizeModals();
+await writeLqip(lqip);
+console.log("Done.");