import { NextRequest, NextResponse } from "next/server";

export const dynamic = "force-dynamic";
export const runtime = "nodejs";

export async function GET(request: NextRequest) {
  const { searchParams } = new URL(request.url);
  const url = searchParams.get("url");
  const width = parseInt(searchParams.get("w") || "800");
  const height = parseInt(searchParams.get("h") || "600");
  const q = parseInt(searchParams.get("q") || "80");

  if (!url) {
    return NextResponse.json(
      { error: "Missing url parameter" },
      { status: 400 },
    );
  }

  try {
    // 1. Fetch image from original URL
    const response = await fetch(url);
    if (!response.ok) {
      return NextResponse.json(
        { error: "Failed to fetch original image" },
        { status: response.status },
      );
    }

    const arrayBuffer = await response.arrayBuffer();
    const buffer = Buffer.from(arrayBuffer);

    // Dynamically import to prevent Next.js from trying to bundle tfjs-node/sharp locally at build time
    const { processImageWithSmartCrop } =
      await import("@mintel/image-processor");

    // 2. Process image with Face-API and Sharp
    const processedBuffer = await processImageWithSmartCrop(buffer, {
      width,
      height,
      format: "webp",
      quality: q,
    });

    // 3. Return the processed image
    return new NextResponse(new Uint8Array(processedBuffer), {
      status: 200,
      headers: {
        "Content-Type": "image/webp",
        "Cache-Control": "public, max-age=31536000, immutable",
      },
    });
  } catch (error) {
    console.error("Image Processing Error:", error);
    return NextResponse.json(
      { error: "Failed to process image" },
      { status: 500 },
    );
  }
}