61 lines
1.7 KiB
TypeScript
61 lines
1.7 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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export const dynamic = "force-dynamic";
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export const runtime = "nodejs";
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export async function GET(request: NextRequest) {
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const { searchParams } = new URL(request.url);
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const url = searchParams.get("url");
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const width = parseInt(searchParams.get("w") || "800");
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const height = parseInt(searchParams.get("h") || "600");
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const q = parseInt(searchParams.get("q") || "80");
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if (!url) {
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return NextResponse.json(
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{ error: "Missing url parameter" },
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{ status: 400 },
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);
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}
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try {
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// 1. Fetch image from original URL
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const response = await fetch(url);
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if (!response.ok) {
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return NextResponse.json(
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{ error: "Failed to fetch original image" },
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{ status: response.status },
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);
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}
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const arrayBuffer = await response.arrayBuffer();
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const buffer = Buffer.from(arrayBuffer);
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// Dynamically import to prevent Next.js from trying to bundle tfjs-node/sharp locally at build time
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const { processImageWithSmartCrop } =
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await import("@mintel/image-processor");
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// 2. Process image with Face-API and Sharp
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const processedBuffer = await processImageWithSmartCrop(buffer, {
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width,
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height,
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format: "webp",
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quality: q,
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});
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// 3. Return the processed image
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return new NextResponse(new Uint8Array(processedBuffer), {
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status: 200,
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headers: {
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"Content-Type": "image/webp",
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"Cache-Control": "public, max-age=31536000, immutable",
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},
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});
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} catch (error) {
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console.error("Image Processing Error:", error);
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return NextResponse.json(
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{ error: "Failed to process image" },
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{ status: 500 },
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);
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}
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}
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