asepharyanaandKilo
67288c8723
Implement self-hosted document scanner and media processing tools as an alternative to CamScanner/ilovepdf without third-party uploads. Backend: Rust Axum gateway + worker pool with NATS JetStream queue Frontend: Next.js 16 + shadcn/ui + Tailwind v4 + Framer Motion Pipeline: Canny edge detection -> DLT homography warp -> Sauvola binarization -> Hough deskew -> Tesseract OCR -> searchable PDF Phase 1 (MVP) delivers: - Document scanner with perspective correction and OCR - Image compress/resize/convert tools - PDF merge/split/compress tools - Real-time WebSocket progress updates - Rate limiting, auto-cleanup, Prometheus metrics - Full CI/CD pipeline with Docker multi-stage build Co-Authored-By: Kilo <kilo@kilo.ai>
26 lines
710 B
TypeScript
26 lines
710 B
TypeScript
import { NextRequest, NextResponse } from "next/server";
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const RUST_GATEWAY = process.env.RUST_GATEWAY_URL || "http://localhost:3001";
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export async function GET(
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_request: NextRequest,
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{ params }: { params: Promise<{ id: string }> },
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) {
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const { id } = await params;
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try {
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const response = await fetch(`${RUST_GATEWAY}/api/job/${id}`);
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const data = await response.json();
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if (!response.ok) {
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return NextResponse.json(data, { status: response.status });
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}
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return NextResponse.json(data);
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} catch (error) {
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console.error("Job status proxy error:", error);
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return NextResponse.json(
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{ error: "Failed to fetch job status" },
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{ status: 500 },
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);
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}
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} |