icon sharp

src/app/[name]/api/logo/route.ts

@@ -0,0 +1,93 @@
+import { NextRequest, NextResponse } from "next/server";
+import sharp from "sharp";
+
+export const dynamic = "force-dynamic";
+export const revalidate = 0;
+
+export async function GET(
+  request: NextRequest,
+  { params }: { params: Promise<{ name: string }> }
+) {
+  try {
+    const { name } = await params;
+    const searchParams = request.nextUrl.searchParams;
+    const logoUrl = searchParams.get("url");
+    const size = parseInt(searchParams.get("size") || "192");
+
+    if (!logoUrl) {
+      return new NextResponse("Logo URL is required", { status: 400 });
+    }
+
+    // دانلود تصویر
+    const imageResponse = await fetch(logoUrl);
+    if (!imageResponse.ok) {
+      return new NextResponse("Failed to fetch logo", { status: 404 });
+    }
+
+    const imageBuffer = Buffer.from(await imageResponse.arrayBuffer());
+
+    // دریافت ابعاد تصویر
+    const metadata = await sharp(imageBuffer).metadata();
+    const { width, height } = metadata;
+
+    if (!width || !height) {
+      return new NextResponse("Invalid image", { status: 400 });
+    }
+
+    // اگر تصویر از قبل مربع باشد، مستقیماً resize می‌کنیم
+    if (width === height) {
+      const processedImage = sharp(imageBuffer).resize(size, size, {
+        fit: "contain",
+        background: { r: 0, g: 0, b: 0, alpha: 0 },
+      });
+      const outputBuffer = await processedImage.png().toBuffer();
+      
+      return new NextResponse(outputBuffer, {
+        headers: {
+          "Content-Type": "image/png",
+          "Cache-Control": "public, max-age=31536000, immutable",
+        },
+      });
+    }
+
+    // محاسبه نسبت برای resize اولیه (برای بهینه‌سازی)
+    const maxDimension = Math.max(width, height);
+    const scale = size / maxDimension;
+    const newWidth = Math.round(width * scale);
+    const newHeight = Math.round(height * scale);
+
+    // ابتدا resize می‌کنیم و سپس padding اضافه می‌کنیم
+    const paddingTop = Math.floor((size - newHeight) / 2);
+    const paddingBottom = size - newHeight - paddingTop;
+    const paddingLeft = Math.floor((size - newWidth) / 2);
+    const paddingRight = size - newWidth - paddingLeft;
+
+    const processedImage = sharp(imageBuffer)
+      .resize(newWidth, newHeight, {
+        fit: "contain",
+        background: { r: 0, g: 0, b: 0, alpha: 0 },
+      })
+      .extend({
+        top: paddingTop,
+        bottom: paddingBottom,
+        left: paddingLeft,
+        right: paddingRight,
+        background: { r: 0, g: 0, b: 0, alpha: 0 },
+      });
+
+    // تبدیل به PNG و برگرداندن
+    const outputBuffer = await processedImage.png().toBuffer();
+
+    return new NextResponse(outputBuffer, {
+      headers: {
+        "Content-Type": "image/png",
+        "Cache-Control":
+          "public, max-age=31536000, immutable",
+      },
+    });
+  } catch (error) {
+    console.error("Error processing logo:", error);
+    return new NextResponse("Internal Server Error", { status: 500 });
+  }
+}
+