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>
104 lines
2.7 KiB
TypeScript
104 lines
2.7 KiB
TypeScript
"use client";
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import { useState, useCallback } from "react";
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import { Images } from "lucide-react";
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import { ToolLayout } from "@/components/tools/tool-layout";
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import { UploadZone } from "@/components/tools/upload-zone";
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import { useUpload } from "@/hooks/use-upload";
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import { useJobStatus } from "@/hooks/use-job-status";
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import { ProgressBar } from "@/components/tools/progress-bar";
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import { ResultPreview } from "@/components/tools/result-preview";
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type PageState = "upload" | "processing" | "result" | "error";
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export default function ImagesToPdfPage() {
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const [pageState, setPageState] = useState<PageState>("upload");
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const [jobId, setJobId] = useState<string | null>(null);
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const [errorMsg, setErrorMsg] = useState<string | null>(null);
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const { upload } = useUpload({
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tool: "pdf-images-to-pdf",
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options: { quality: 80 },
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});
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const handleComplete = useCallback(() => setPageState("result"), []);
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const handleError = useCallback(
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(err: string) => {
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setErrorMsg(err);
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setPageState("error");
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},
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[],
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);
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const { progress, stage, message, status, result } = useJobStatus(jobId, {
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onComplete: handleComplete,
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onError: handleError,
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});
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const handleUpload = useCallback(
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async (file: File) => {
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setErrorMsg(null);
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const res = await upload(file);
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if (res) {
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setJobId(res.job_id);
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setPageState("processing");
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}
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},
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[upload],
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);
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const handleRetry = useCallback(() => {
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setPageState("upload");
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setJobId(null);
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setErrorMsg(null);
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}, []);
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return (
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<ToolLayout
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title="Images to PDF"
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description="Kumpulan foto jadi 1 file"
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icon={Images}
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phase={2}
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>
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{pageState === "upload" && (
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<UploadZone
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accept="image/*"
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tool="pdf-images-to-pdf"
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onUpload={handleUpload}
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/>
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)}
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{pageState === "processing" && jobId && (
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<ProgressBar
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progress={progress}
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stage={stage}
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message={message}
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status={status}
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onRetry={handleRetry}
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/>
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)}
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{pageState === "result" && result && (
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<ResultPreview
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result={result}
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onProcessAnother={handleRetry}
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/>
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)}
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{pageState === "error" && (
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<div className="p-6 rounded-xl border border-destructive/20 bg-destructive/5 text-center">
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<p className="text-destructive font-medium mb-4">
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{errorMsg || "Terjadi kesalahan"}
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</p>
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<button
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onClick={handleRetry}
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className="px-4 py-2 bg-primary text-primary-foreground rounded-lg hover:opacity-90"
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>
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Coba Lagi
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</button>
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</div>
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)}
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</ToolLayout>
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);
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}
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