mirror of
https://github.com/PlatypusPus/MushroomEmpire.git
synced 2026-02-07 22:18:59 +00:00
620 lines
22 KiB
TypeScript
620 lines
22 KiB
TypeScript
"use client";
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import { TryTab } from "./Sidebar";
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import { useState, useRef, useCallback, useEffect } from "react";
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import { saveLatestUpload, getLatestUpload, deleteLatestUpload } from "../../lib/indexeddb";
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import { analyzeDataset, cleanDataset, getReportUrl, type AnalyzeResponse, type CleanResponse } from "../../lib/api";
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interface CenterPanelProps {
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tab: TryTab;
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onAnalyze?: () => void;
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}
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interface UploadedFileMeta {
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name: string;
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size: number;
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type: string;
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contentPreview: string;
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}
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interface TablePreviewData {
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headers: string[];
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rows: string[][];
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origin: 'csv';
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}
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export function CenterPanel({ tab, onAnalyze }: CenterPanelProps) {
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const PREVIEW_BYTES = 64 * 1024; // read first 64KB slice for large-file preview
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const [fileMeta, setFileMeta] = useState<UploadedFileMeta | null>(null);
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const [uploadedFile, setUploadedFile] = useState<File | null>(null);
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const [isDragging, setIsDragging] = useState(false);
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const [progress, setProgress] = useState<number>(0);
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const [progressLabel, setProgressLabel] = useState<string>("Processing");
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const [tablePreview, setTablePreview] = useState<TablePreviewData | null>(null);
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const inputRef = useRef<HTMLInputElement | null>(null);
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const [loadedFromCache, setLoadedFromCache] = useState(false);
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const [isProcessing, setIsProcessing] = useState(false);
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const [error, setError] = useState<string | null>(null);
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// Analysis results
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const [analyzeResult, setAnalyzeResult] = useState<AnalyzeResponse | null>(null);
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const [cleanResult, setCleanResult] = useState<CleanResponse | null>(null);
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const reset = () => {
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setFileMeta(null);
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setUploadedFile(null);
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setProgress(0);
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setProgressLabel("Processing");
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setTablePreview(null);
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setError(null);
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};
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// Handle API calls
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const handleAnalyze = async () => {
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if (!uploadedFile) {
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setError("No file uploaded");
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return;
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}
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setIsProcessing(true);
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setError(null);
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setProgressLabel("Analyzing dataset...");
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try {
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const result = await analyzeDataset(uploadedFile);
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setAnalyzeResult(result);
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setProgressLabel("Analysis complete!");
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onAnalyze?.(); // Navigate to bias-analysis tab
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} catch (err: any) {
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setError(err.message || "Analysis failed");
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} finally {
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setIsProcessing(false);
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}
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};
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const handleClean = async () => {
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if (!uploadedFile) {
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setError("No file uploaded");
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return;
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}
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setIsProcessing(true);
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setError(null);
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setProgressLabel("Cleaning dataset...");
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try {
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const result = await cleanDataset(uploadedFile);
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setCleanResult(result);
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setProgressLabel("Cleaning complete!");
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} catch (err: any) {
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setError(err.message || "Cleaning failed");
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} finally {
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setIsProcessing(false);
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}
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}; function tryParseCSV(text: string, maxRows = 50, maxCols = 40): TablePreviewData | null {
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const lines = text.split(/\r?\n/).filter(l => l.trim().length > 0);
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if (lines.length < 2) return null;
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const commaDensity = lines.slice(0, 10).filter(l => l.includes(',')).length;
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if (commaDensity < 2) return null;
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const parseLine = (line: string) => {
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const out: string[] = [];
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let cur = '';
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let inQuotes = false;
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for (let i = 0; i < line.length; i++) {
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const ch = line[i];
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if (ch === '"') {
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if (inQuotes && line[i + 1] === '"') { cur += '"'; i++; } else { inQuotes = !inQuotes; }
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} else if (ch === ',' && !inQuotes) {
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out.push(cur);
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cur = '';
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} else { cur += ch; }
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}
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out.push(cur);
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return out.map(c => c.trim());
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};
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const raw = lines.slice(0, maxRows).map(parseLine);
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if (raw.length === 0) return null;
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const headers = raw[0];
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const colCount = Math.min(headers.length, maxCols);
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const rows = raw.slice(1).map(r => r.slice(0, colCount));
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return { headers: headers.slice(0, colCount), rows, origin: 'csv' };
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}
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// We no longer build table preview for JSON; revert JSON to raw text view.
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const processFile = useCallback(async (f: File) => {
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if (!f) return;
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const isCSV = /\.csv$/i.test(f.name);
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setProgress(0);
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setUploadedFile(f); // Save the file for API calls
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// For large files, show a progress bar while reading the file stream (no preview)
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if (f.size > 1024 * 1024) {
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setProgressLabel("Uploading");
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const metaObj: UploadedFileMeta = {
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name: f.name,
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size: f.size,
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type: f.type || "unknown",
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contentPreview: `Loading partial preview (first ${Math.round(PREVIEW_BYTES/1024)}KB)...`,
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};
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setFileMeta(metaObj);
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setTablePreview(null);
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// Save to IndexedDB immediately so it persists without needing full read
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(async () => {
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try { await saveLatestUpload(f, metaObj); } catch {}
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})();
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// Read head slice for partial preview & possible CSV table extraction
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try {
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const headBlob = f.slice(0, PREVIEW_BYTES);
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const headReader = new FileReader();
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headReader.onload = async () => {
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try {
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const buf = headReader.result as ArrayBuffer;
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const decoder = new TextDecoder();
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const text = decoder.decode(buf);
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setFileMeta(prev => prev ? { ...prev, contentPreview: text.slice(0, 4000) } : prev);
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if (isCSV) {
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const parsed = tryParseCSV(text);
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setTablePreview(parsed);
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} else {
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setTablePreview(null);
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}
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try { await saveLatestUpload(f, { ...metaObj, contentPreview: text.slice(0, 4000) }); } catch {}
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} catch { /* ignore */ }
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};
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headReader.readAsArrayBuffer(headBlob);
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} catch { /* ignore */ }
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// Use streaming read for progress without buffering entire file in memory
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try {
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const stream: ReadableStream<Uint8Array> | undefined = (typeof (f as any).stream === "function" ? (f as any).stream() : undefined);
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if (stream && typeof stream.getReader === "function") {
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const reader = stream.getReader();
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let loaded = 0;
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const total = f.size || 1;
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for (;;) {
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const { done, value } = await reader.read();
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if (done) break;
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loaded += value ? value.length : 0;
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const pct = Math.min(100, Math.round((loaded / total) * 100));
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setProgress(pct);
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}
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setProgress(100);
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} else {
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// Fallback to FileReader progress events
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const reader = new FileReader();
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reader.onprogress = (evt) => {
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if (evt.lengthComputable) {
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const pct = Math.min(100, Math.round((evt.loaded / evt.total) * 100));
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setProgress(pct);
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} else {
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setProgress((p) => (p < 90 ? p + 5 : p));
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}
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};
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reader.onloadend = () => setProgress(100);
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reader.onerror = () => setProgress(0);
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reader.readAsArrayBuffer(f);
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}
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} catch {
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setProgress(100);
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}
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return;
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}
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const reader = new FileReader();
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reader.onprogress = (evt) => {
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if (evt.lengthComputable) {
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const pct = Math.min(100, Math.round((evt.loaded / evt.total) * 100));
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setProgress(pct);
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} else {
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setProgress((p) => (p < 90 ? p + 5 : p));
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}
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};
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reader.onload = async () => {
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try {
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const buf = reader.result as ArrayBuffer;
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const decoder = new TextDecoder();
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const text = decoder.decode(buf);
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const metaObj: UploadedFileMeta = {
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name: f.name,
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size: f.size,
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type: f.type || "unknown",
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contentPreview: text.slice(0, 4000),
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};
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setFileMeta(metaObj);
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if (isCSV) {
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const parsed = tryParseCSV(text);
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setTablePreview(parsed);
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} else {
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setTablePreview(null);
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}
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// Save file blob and meta to browser cache (IndexedDB)
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try {
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await saveLatestUpload(f, metaObj);
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} catch {}
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setProgressLabel("Processing");
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setProgress(100);
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} catch (e) {
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const metaObj: UploadedFileMeta = {
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name: f.name,
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size: f.size,
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type: f.type || "unknown",
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contentPreview: "Unable to decode preview.",
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};
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setFileMeta(metaObj);
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setTablePreview(null);
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try {
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await saveLatestUpload(f, metaObj);
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} catch {}
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setProgressLabel("Processing");
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setProgress(100);
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}
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};
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reader.onerror = () => {
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setProgress(0);
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};
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reader.readAsArrayBuffer(f);
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}, []);
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function handleFileChange(e: React.ChangeEvent<HTMLInputElement>) {
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const f = e.target.files?.[0];
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processFile(f as File);
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}
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const onDragOver = (e: React.DragEvent<HTMLDivElement>) => {
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e.preventDefault();
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setIsDragging(true);
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};
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const onDragLeave = () => setIsDragging(false);
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const onDrop = (e: React.DragEvent<HTMLDivElement>) => {
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e.preventDefault();
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setIsDragging(false);
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const f = e.dataTransfer.files?.[0];
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processFile(f as File);
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};
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// Load last cached upload on mount (processing tab only)
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useEffect(() => {
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let ignore = false;
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if (tab !== "processing") return;
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(async () => {
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try {
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const { file, meta } = await getLatestUpload();
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if (!ignore && meta) {
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setFileMeta(meta as UploadedFileMeta);
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if (file) {
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setUploadedFile(file);
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}
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setLoadedFromCache(true);
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}
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} catch {}
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})();
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return () => {
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ignore = true;
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};
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}, [tab]); function renderTabContent() {
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switch (tab) {
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case "processing":
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return (
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<div className="space-y-4 max-w-[1100px] xl:max-w-[1200px] w-full mx-auto">
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<h2 className="text-xl font-semibold">Upload & Process Data</h2>
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<p className="text-sm text-slate-600">Upload a CSV / JSON / text file. We will later parse, detect PII, and queue analyses.</p>
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<div className="flex flex-col gap-3 min-w-0">
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<div
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onDragOver={onDragOver}
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onDragLeave={onDragLeave}
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onDrop={onDrop}
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className={
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"rounded-lg border-2 border-dashed p-6 text-center transition-colors " +
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(isDragging ? "border-brand-600 bg-brand-50" : "border-slate-300 hover:border-brand-300")
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}
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>
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<p className="text-sm text-slate-600">Drag & drop a CSV / JSON / TXT here, or click to browse.</p>
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<div className="mt-3">
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<button
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type="button"
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onClick={() => inputRef.current?.click()}
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className="inline-flex items-center rounded-md bg-brand-600 px-4 py-2 text-white text-sm font-medium shadow hover:bg-brand-500"
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>
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Choose file
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</button>
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</div>
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</div>
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<input
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ref={inputRef}
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type="file"
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accept=".csv,.json,.txt"
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onChange={handleFileChange}
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className="hidden"
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aria-hidden
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/>
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{progress > 0 && (
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<div className="w-full">
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<div className="h-2 w-full rounded-full bg-slate-200 overflow-hidden">
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<div
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className="h-2 bg-brand-600 transition-all"
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style={{ width: `${progress}%` }}
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/>
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</div>
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<div className="mt-1 text-xs text-slate-500">{progressLabel} {progress}%</div>
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</div>
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)}
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{fileMeta && (
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<div className="rounded-md border border-slate-200 p-4 bg-white shadow-sm">
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<div className="flex items-center justify-between mb-2">
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<div className="text-sm font-medium">{fileMeta.name}</div>
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<div className="text-xs text-slate-500">{Math.round(fileMeta.size / 1024)} KB</div>
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</div>
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{loadedFromCache && (
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<div className="mb-2 text-[11px] text-brand-700">Loaded from browser cache</div>
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)}
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<div className="mb-3 text-xs text-slate-500">{fileMeta.type || "Unknown type"}</div>
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{/* Table preview when structured data detected; otherwise show text */}
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{tablePreview && tablePreview.origin === 'csv' ? (
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<div className="max-h-64 w-full min-w-0 overflow-x-auto overflow-y-auto rounded-md bg-slate-50">
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<table className="min-w-full text-xs">
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<thead className="sticky top-0 bg-slate-100">
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<tr>
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{tablePreview.headers.map((h, idx) => (
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<th key={idx} className="text-left font-semibold px-3 py-2 border-b border-slate-200 whitespace-nowrap">{h}</th>
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))}
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</tr>
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</thead>
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<tbody>
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{tablePreview.rows.map((r, i) => (
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<tr key={i} className={i % 2 === 0 ? "" : "bg-slate-100/50"}>
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{r.map((c, j) => (
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<td key={j} className="px-3 py-1.5 border-b border-slate-100 whitespace-nowrap max-w-[24ch] overflow-hidden text-ellipsis">{c}</td>
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))}
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</tr>
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))}
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</tbody>
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</table>
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</div>
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) : (
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<pre className="max-h-64 overflow-auto text-xs bg-slate-50 p-3 rounded-md whitespace-pre-wrap leading-relaxed">
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{fileMeta.contentPreview || "(no preview)"}
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</pre>
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)}
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{error && (
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<div className="mt-3 p-3 bg-red-50 border border-red-200 rounded-md text-sm text-red-700">
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❌ {error}
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</div>
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)}
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{analyzeResult && (
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<div className="mt-3 p-3 bg-green-50 border border-green-200 rounded-md text-sm text-green-700">
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✅ Analysis complete! View results in tabs.
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<a
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href={getReportUrl(analyzeResult.report_file)}
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target="_blank"
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rel="noopener noreferrer"
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className="ml-2 underline"
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>
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Download Report
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</a>
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</div>
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)}
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{cleanResult && (
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<div className="mt-3 p-3 bg-green-50 border border-green-200 rounded-md text-sm text-green-700">
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✅ Cleaning complete! {cleanResult.summary.total_cells_affected} cells anonymized.
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<div className="mt-2 flex gap-2">
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<a
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href={getReportUrl(cleanResult.files.cleaned_csv)}
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download
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className="underline"
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>
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Download Cleaned CSV
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</a>
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<a
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href={getReportUrl(cleanResult.files.audit_report)}
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target="_blank"
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rel="noopener noreferrer"
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className="underline"
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>
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View Audit Report
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</a>
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</div>
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</div>
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)}
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<div className="mt-3 flex justify-end gap-2">
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<button
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type="button"
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onClick={async () => {
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reset();
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try { await deleteLatestUpload(); } catch {}
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setLoadedFromCache(false);
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setAnalyzeResult(null);
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setCleanResult(null);
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}}
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className="text-xs rounded-md border px-3 py-1.5 hover:bg-slate-50"
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>
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Clear
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</button>
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<button
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type="button"
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onClick={handleClean}
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disabled={isProcessing}
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className="text-xs rounded-md bg-green-600 text-white px-3 py-1.5 hover:bg-green-500 disabled:opacity-50 disabled:cursor-not-allowed"
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>
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{isProcessing ? "Processing..." : "Clean (PII)"}
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</button>
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<button
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type="button"
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onClick={handleAnalyze}
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disabled={isProcessing}
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className="text-xs rounded-md bg-brand-600 text-white px-3 py-1.5 hover:bg-brand-500 disabled:opacity-50 disabled:cursor-not-allowed"
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>
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{isProcessing ? "Processing..." : "Analyze"}
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</button>
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</div>
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</div>
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)}
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</div>
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</div>
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);
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case "bias-analysis":
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return (
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<div className="space-y-4">
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<h2 className="text-xl font-semibold">Bias Analysis</h2>
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{analyzeResult ? (
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<div className="space-y-4">
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<div className="grid grid-cols-2 gap-4">
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<div className="p-4 bg-white rounded-lg border">
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<div className="text-sm text-slate-600">Overall Bias Score</div>
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<div className="text-2xl font-bold">{(analyzeResult.bias_metrics.overall_bias_score * 100).toFixed(1)}%</div>
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</div>
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<div className="p-4 bg-white rounded-lg border">
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<div className="text-sm text-slate-600">Violations Detected</div>
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<div className="text-2xl font-bold">{analyzeResult.bias_metrics.violations_detected.length}</div>
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</div>
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</div>
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<div className="p-4 bg-white rounded-lg border">
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<h3 className="font-semibold mb-2">Model Performance</h3>
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<div className="grid grid-cols-4 gap-2 text-sm">
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<div>
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<div className="text-slate-600">Accuracy</div>
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<div className="font-medium">{(analyzeResult.model_performance.accuracy * 100).toFixed(1)}%</div>
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</div>
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<div>
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<div className="text-slate-600">Precision</div>
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<div className="font-medium">{(analyzeResult.model_performance.precision * 100).toFixed(1)}%</div>
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</div>
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<div>
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<div className="text-slate-600">Recall</div>
|
||
<div className="font-medium">{(analyzeResult.model_performance.recall * 100).toFixed(1)}%</div>
|
||
</div>
|
||
<div>
|
||
<div className="text-slate-600">F1 Score</div>
|
||
<div className="font-medium">{(analyzeResult.model_performance.f1_score * 100).toFixed(1)}%</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
) : (
|
||
<p className="text-sm text-slate-600">Upload and analyze a dataset to see bias metrics.</p>
|
||
)}
|
||
</div>
|
||
);
|
||
case "risk-analysis":
|
||
return (
|
||
<div className="space-y-4">
|
||
<h2 className="text-xl font-semibold">Risk Analysis</h2>
|
||
{analyzeResult ? (
|
||
<div className="space-y-4">
|
||
<div className="p-4 bg-white rounded-lg border">
|
||
<div className="text-sm text-slate-600">Overall Risk Score</div>
|
||
<div className="text-2xl font-bold">{(analyzeResult.risk_assessment.overall_risk_score * 100).toFixed(1)}%</div>
|
||
</div>
|
||
|
||
{cleanResult && (
|
||
<div className="p-4 bg-white rounded-lg border">
|
||
<h3 className="font-semibold mb-2">PII Detection Results</h3>
|
||
<div className="text-sm space-y-1">
|
||
<div>Cells Anonymized: <span className="font-medium">{cleanResult.summary.total_cells_affected}</span></div>
|
||
<div>Columns Removed: <span className="font-medium">{cleanResult.summary.columns_removed.length}</span></div>
|
||
<div>Columns Anonymized: <span className="font-medium">{cleanResult.summary.columns_anonymized.length}</span></div>
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
) : (
|
||
<p className="text-sm text-slate-600">Upload and analyze a dataset to see risk assessment.</p>
|
||
)}
|
||
</div>
|
||
);
|
||
case "bias-risk-mitigation":
|
||
return (
|
||
<div className="space-y-4">
|
||
<h2 className="text-xl font-semibold">Mitigation Suggestions</h2>
|
||
{analyzeResult && analyzeResult.recommendations.length > 0 ? (
|
||
<div className="space-y-2">
|
||
{analyzeResult.recommendations.map((rec, i) => (
|
||
<div key={i} className="p-3 bg-blue-50 border border-blue-200 rounded-md text-sm">
|
||
{rec}
|
||
</div>
|
||
))}
|
||
</div>
|
||
) : (
|
||
<p className="text-sm text-slate-600">
|
||
Recommendations will appear here after analysis.
|
||
</p>
|
||
)}
|
||
</div>
|
||
);
|
||
case "results":
|
||
return (
|
||
<div className="space-y-4">
|
||
<h2 className="text-xl font-semibold">Results Summary</h2>
|
||
{(analyzeResult || cleanResult) ? (
|
||
<div className="space-y-4">
|
||
{analyzeResult && (
|
||
<div className="p-4 bg-white rounded-lg border">
|
||
<h3 className="font-semibold mb-2">Analysis Results</h3>
|
||
<div className="text-sm space-y-1">
|
||
<div>Dataset: {analyzeResult.filename}</div>
|
||
<div>Rows: {analyzeResult.dataset_info.rows}</div>
|
||
<div>Columns: {analyzeResult.dataset_info.columns}</div>
|
||
<div>Bias Score: {(analyzeResult.bias_metrics.overall_bias_score * 100).toFixed(1)}%</div>
|
||
<div>Risk Score: {(analyzeResult.risk_assessment.overall_risk_score * 100).toFixed(1)}%</div>
|
||
</div>
|
||
<a
|
||
href={getReportUrl(analyzeResult.report_file)}
|
||
target="_blank"
|
||
rel="noopener noreferrer"
|
||
className="mt-3 inline-block text-sm text-brand-600 underline"
|
||
>
|
||
Download Full Report →
|
||
</a>
|
||
</div>
|
||
)}
|
||
|
||
{cleanResult && (
|
||
<div className="p-4 bg-white rounded-lg border">
|
||
<h3 className="font-semibold mb-2">Cleaning Results</h3>
|
||
<div className="text-sm space-y-1">
|
||
<div>Original: {cleanResult.dataset_info.original_rows} rows × {cleanResult.dataset_info.original_columns} cols</div>
|
||
<div>Cleaned: {cleanResult.dataset_info.cleaned_rows} rows × {cleanResult.dataset_info.cleaned_columns} cols</div>
|
||
<div>Cells Anonymized: {cleanResult.summary.total_cells_affected}</div>
|
||
<div>Columns Removed: {cleanResult.summary.columns_removed.length}</div>
|
||
<div>GDPR Compliant: {cleanResult.gdpr_compliance.length} articles applied</div>
|
||
</div>
|
||
<div className="mt-3 flex gap-2">
|
||
<a
|
||
href={getReportUrl(cleanResult.files.cleaned_csv)}
|
||
download
|
||
className="text-sm text-brand-600 underline"
|
||
>
|
||
Download Cleaned CSV →
|
||
</a>
|
||
<a
|
||
href={getReportUrl(cleanResult.files.audit_report)}
|
||
target="_blank"
|
||
rel="noopener noreferrer"
|
||
className="text-sm text-brand-600 underline"
|
||
>
|
||
View Audit Report →
|
||
</a>
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
) : (
|
||
<p className="text-sm text-slate-600">
|
||
Process a dataset to see aggregated results.
|
||
</p>
|
||
)}
|
||
</div>
|
||
);
|
||
default:
|
||
return null;
|
||
}
|
||
}
|
||
|
||
return (
|
||
<div className="h-full overflow-y-auto p-6 bg-white/60">
|
||
{renderTabContent()}
|
||
</div>
|
||
);
|
||
} |