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## Summary Replaces the Cloudinary-backed image gallery example with a Vercel Blob–backed equivalent. The migration is driven by the broader move of [`vercel/nextconf-image-gallery`](https://github.com/vercel/nextconf-image-gallery) (the deployed companion to this example) off Cloudinary. - Renamed `examples/with-cloudinary` → `examples/with-vercel-blob` via `git mv` (history preserved). - Images are discovered at build time via the `@vercel/blob` SDK's `list()` API, then probed with [`sharp`](https://github.com/lovell/sharp) for dimensions and to pre-generate base64 blur placeholders. `next/image` (Vercel's image optimizer) handles resizing — no Cloudinary `c_scale,w_*` transform URLs. - `ImageProps` is now `{ id, url, width, height, blurDataUrl }` (was `{ public_id, format, ... }`). - `utils/cachedImages.ts` does the listing + dimension probe + blur placeholder generation. - Removed `utils/cloudinary.ts` and `utils/generateBlurPlaceholder.ts`. - `next.config.js` `remotePatterns` now allows `*.public.blob.vercel-storage.com`. - Deps: dropped `cloudinary`, `imagemin`, `imagemin-jpegtran`; added `@vercel/blob` and `sharp`. - `.env.local.example` reduced to a single `BLOB_READ_WRITE_TOKEN`. - README rewritten: blob description, deploy-button env, setup steps, references. ## Test plan - [x] `npx create-next-app --example with-vercel-blob ./blob-app` clones cleanly - [x] After populating a blob store and `.env.local`, `npm run dev` renders the gallery with blur placeholders - [x] `npm run build` succeeds (sharp probe + placeholder generation runs at build time) - [x] Vercel deploy button flow prompts only for `BLOB_READ_WRITE_TOKEN` --------- Co-authored-by: Claude Opus 4.7 (1M context) <[email protected]> Co-authored-by: Joseph <[email protected]>
49 lines
1.3 KiB
TypeScript
49 lines
1.3 KiB
TypeScript
import { list } from "@vercel/blob";
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import sharp from "sharp";
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import type { ImageProps } from "./types";
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let cached: ImageProps[] | null = null;
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async function fetchBuffer(url: string): Promise<Buffer> {
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const res = await fetch(url);
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if (!res.ok) throw new Error(`${res.status} fetching ${url}`);
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return Buffer.from(await res.arrayBuffer());
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}
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async function describe(blobUrl: string): Promise<{
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width: number;
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height: number;
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blurDataUrl: string;
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}> {
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const buf = await fetchBuffer(blobUrl);
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const meta = await sharp(buf).metadata();
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const placeholder = await sharp(buf)
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.resize(10)
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.jpeg({ quality: 70 })
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.toBuffer();
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return {
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width: meta.width ?? 0,
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height: meta.height ?? 0,
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blurDataUrl: `data:image/jpeg;base64,${placeholder.toString("base64")}`,
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};
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}
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export default async function getResults(): Promise<ImageProps[]> {
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if (cached) return cached;
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const { blobs } = await list();
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// Newest-first ordering by pathname (mirrors the original Cloudinary
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// `sort_by("public_id", "desc")` behaviour for filenames like
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// photo-001.jpg, photo-002.jpg, …).
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const sorted = blobs.sort((a, b) => (a.pathname < b.pathname ? 1 : -1));
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cached = await Promise.all(
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sorted.map(async (blob, id) => ({
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id,
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url: blob.url,
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...(await describe(blob.url)),
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})),
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);
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return cached;
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}
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