mirror of
https://github.com/PlatypusPus/MushroomEmpire.git
synced 2026-02-07 22:18:59 +00:00
2086 lines
104 KiB
TypeScript
2086 lines
104 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, detectPII, getReportUrl, type AnalyzeResponse, type CleanResponse, type DetectPIIResponse } 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 [piiDetectionResult, setPIIDetectionResult] = useState<DetectPIIResponse | 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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setPIIDetectionResult(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 handleDetectPII = 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("Detecting PII...");
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try {
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const result = await detectPII(uploadedFile);
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setPIIDetectionResult(result);
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setProgressLabel("PII detection complete!");
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} catch (err: any) {
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setError(err.message || "PII detection 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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{piiDetectionResult && (
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<div className="mt-3 p-3 bg-blue-50 border border-blue-200 rounded-md text-sm text-blue-700">
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🔍 PII Detection complete! Found {piiDetectionResult.summary.risky_columns_found} risky columns in {piiDetectionResult.file_type.toUpperCase()} file.
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<div className="mt-1 text-xs">
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<span className="font-semibold text-red-700">{piiDetectionResult.summary.high_risk_count} HIGH</span> •
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<span className="font-semibold text-orange-600 ml-1">{piiDetectionResult.summary.medium_risk_count} MEDIUM</span> •
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<span className="font-semibold text-yellow-600 ml-1">{piiDetectionResult.summary.low_risk_count} LOW</span>
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</div>
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<p className="mt-2 text-xs">Review detected risks in the "Bias & Risk Mitigation" tab to choose anonymization strategies.</p>
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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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|
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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">
|
||
<button
|
||
type="button"
|
||
onClick={async () => {
|
||
reset();
|
||
try { await deleteLatestUpload(); } catch {}
|
||
setLoadedFromCache(false);
|
||
setAnalyzeResult(null);
|
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setCleanResult(null);
|
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setPIIDetectionResult(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={handleDetectPII}
|
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disabled={isProcessing}
|
||
className="text-xs rounded-md bg-blue-600 text-white px-3 py-1.5 hover:bg-blue-500 disabled:opacity-50 disabled:cursor-not-allowed"
|
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>
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{isProcessing ? "Processing..." : "🔍 Detect 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}
|
||
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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{isProcessing ? "Processing..." : "⚡ Analyze"}
|
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</button>
|
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</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
);
|
||
case "bias-analysis":
|
||
return (
|
||
<div className="space-y-6">
|
||
<div>
|
||
<h2 className="text-2xl font-bold mb-2">Bias & Fairness Analysis</h2>
|
||
<p className="text-sm text-slate-600">Comprehensive evaluation of algorithmic fairness across demographic groups</p>
|
||
</div>
|
||
|
||
{analyzeResult ? (
|
||
<div className="space-y-6">
|
||
{/* Overall Bias Score Card */}
|
||
<div className="p-6 bg-gradient-to-br from-purple-50 to-indigo-50 rounded-xl border-2 border-purple-200">
|
||
<div className="flex items-start justify-between">
|
||
<div>
|
||
<div className="text-sm font-medium text-purple-700 mb-1">Overall Bias Score</div>
|
||
<div className="text-5xl font-bold text-purple-900">
|
||
{(analyzeResult.bias_metrics.overall_bias_score * 100).toFixed(1)}%
|
||
</div>
|
||
<div className="mt-3 flex items-center gap-2">
|
||
{analyzeResult.bias_metrics.overall_bias_score < 0.3 ? (
|
||
<>
|
||
<span className="px-3 py-1 bg-green-100 text-green-800 text-xs font-semibold rounded-full">
|
||
✓ Low Bias
|
||
</span>
|
||
<span className="text-sm text-slate-600">Excellent fairness</span>
|
||
</>
|
||
) : analyzeResult.bias_metrics.overall_bias_score < 0.5 ? (
|
||
<>
|
||
<span className="px-3 py-1 bg-yellow-100 text-yellow-800 text-xs font-semibold rounded-full">
|
||
⚠ Moderate Bias
|
||
</span>
|
||
<span className="text-sm text-slate-600">Monitor recommended</span>
|
||
</>
|
||
) : (
|
||
<>
|
||
<span className="px-3 py-1 bg-red-100 text-red-800 text-xs font-semibold rounded-full">
|
||
✗ High Bias
|
||
</span>
|
||
<span className="text-sm text-slate-600">Action required</span>
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
<div className="text-right">
|
||
<div className="text-sm text-slate-600 mb-1">Violations</div>
|
||
<div className={`text-3xl font-bold ${analyzeResult.bias_metrics.violations_detected.length > 0 ? 'text-red-600' : 'text-green-600'}`}>
|
||
{analyzeResult.bias_metrics.violations_detected.length}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Interpretation */}
|
||
<div className="mt-4 p-4 bg-white/70 rounded-lg">
|
||
<div className="text-xs font-semibold text-purple-800 mb-1">INTERPRETATION</div>
|
||
<p className="text-sm text-slate-700">
|
||
{analyzeResult.bias_metrics.overall_bias_score < 0.3
|
||
? "Your model demonstrates strong fairness across demographic groups. Continue monitoring to ensure consistent performance."
|
||
: analyzeResult.bias_metrics.overall_bias_score < 0.5
|
||
? "Moderate bias detected. Review fairness metrics below and consider implementing mitigation strategies to reduce disparities."
|
||
: "Significant bias detected. Immediate action required to address fairness concerns before deployment. Review all violation details below."}
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Model Performance Metrics */}
|
||
<div className="p-6 bg-white rounded-xl border border-slate-200 shadow-sm">
|
||
<h3 className="font-bold text-lg mb-4 flex items-center gap-2">
|
||
<span className="text-blue-600">📊</span>
|
||
Model Performance Metrics
|
||
</h3>
|
||
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
|
||
<div className="p-4 bg-blue-50 rounded-lg">
|
||
<div className="text-xs text-blue-700 font-semibold mb-1">ACCURACY</div>
|
||
<div className="text-2xl font-bold text-blue-900">{(analyzeResult.model_performance.accuracy * 100).toFixed(1)}%</div>
|
||
<div className="text-xs text-slate-600 mt-1">Overall correctness</div>
|
||
</div>
|
||
<div className="p-4 bg-green-50 rounded-lg">
|
||
<div className="text-xs text-green-700 font-semibold mb-1">PRECISION</div>
|
||
<div className="text-2xl font-bold text-green-900">{(analyzeResult.model_performance.precision * 100).toFixed(1)}%</div>
|
||
<div className="text-xs text-slate-600 mt-1">Positive prediction accuracy</div>
|
||
</div>
|
||
<div className="p-4 bg-purple-50 rounded-lg">
|
||
<div className="text-xs text-purple-700 font-semibold mb-1">RECALL</div>
|
||
<div className="text-2xl font-bold text-purple-900">{(analyzeResult.model_performance.recall * 100).toFixed(1)}%</div>
|
||
<div className="text-xs text-slate-600 mt-1">True positive detection rate</div>
|
||
</div>
|
||
<div className="p-4 bg-orange-50 rounded-lg">
|
||
<div className="text-xs text-orange-700 font-semibold mb-1">F1 SCORE</div>
|
||
<div className="text-2xl font-bold text-orange-900">{(analyzeResult.model_performance.f1_score * 100).toFixed(1)}%</div>
|
||
<div className="text-xs text-slate-600 mt-1">Balanced metric</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Fairness Metrics */}
|
||
{Object.keys(analyzeResult.bias_metrics.disparate_impact).length > 0 && (
|
||
<div className="p-6 bg-white rounded-xl border border-slate-200 shadow-sm">
|
||
<h3 className="font-bold text-lg mb-4 flex items-center gap-2">
|
||
<span className="text-purple-600">⚖️</span>
|
||
Fairness Metrics by Protected Attribute
|
||
</h3>
|
||
|
||
{Object.entries(analyzeResult.bias_metrics.disparate_impact).map(([attr, metrics]: [string, any]) => (
|
||
<div key={attr} className="mb-6 last:mb-0 p-4 bg-slate-50 rounded-lg">
|
||
<div className="font-semibold text-slate-800 mb-3 flex items-center gap-2">
|
||
<span className="px-2 py-1 bg-purple-100 text-purple-800 text-xs rounded">
|
||
{attr.toUpperCase()}
|
||
</span>
|
||
</div>
|
||
|
||
{/* Disparate Impact */}
|
||
{metrics?.disparate_impact?.value !== undefined && (
|
||
<div className="mb-3 p-3 bg-white rounded border border-slate-200">
|
||
<div className="flex items-center justify-between mb-2">
|
||
<div>
|
||
<div className="text-xs font-semibold text-slate-600">DISPARATE IMPACT RATIO</div>
|
||
<div className="text-2xl font-bold text-slate-900">{metrics.disparate_impact.value.toFixed(3)}</div>
|
||
</div>
|
||
<div className={`px-3 py-1 rounded-full text-xs font-semibold ${
|
||
metrics.disparate_impact.fair ? 'bg-green-100 text-green-800' : 'bg-red-100 text-red-800'
|
||
}`}>
|
||
{metrics.disparate_impact.fair ? '✓ FAIR' : '✗ UNFAIR'}
|
||
</div>
|
||
</div>
|
||
<div className="text-xs text-slate-600 mb-2">{metrics.disparate_impact.interpretation || 'Ratio of positive rates between groups'}</div>
|
||
<div className="text-xs text-slate-500 bg-blue-50 p-2 rounded">
|
||
<strong>Fair Range:</strong> {metrics.disparate_impact.threshold || 0.8} - {(1/(metrics.disparate_impact.threshold || 0.8)).toFixed(2)}
|
||
{metrics.disparate_impact.fair
|
||
? " • This ratio indicates balanced treatment across groups."
|
||
: " • Ratio outside fair range suggests one group receives significantly different outcomes."}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Statistical Parity */}
|
||
{metrics?.statistical_parity_difference?.value !== undefined && (
|
||
<div className="mb-3 p-3 bg-white rounded border border-slate-200">
|
||
<div className="flex items-center justify-between mb-2">
|
||
<div>
|
||
<div className="text-xs font-semibold text-slate-600">STATISTICAL PARITY DIFFERENCE</div>
|
||
<div className="text-2xl font-bold text-slate-900">
|
||
{metrics.statistical_parity_difference.value.toFixed(3)}
|
||
</div>
|
||
</div>
|
||
<div className={`px-3 py-1 rounded-full text-xs font-semibold ${
|
||
metrics.statistical_parity_difference.fair ? 'bg-green-100 text-green-800' : 'bg-red-100 text-red-800'
|
||
}`}>
|
||
{metrics.statistical_parity_difference.fair ? '✓ FAIR' : '✗ UNFAIR'}
|
||
</div>
|
||
</div>
|
||
<div className="text-xs text-slate-600 mb-2">{metrics.statistical_parity_difference.interpretation || 'Difference in positive rates'}</div>
|
||
<div className="text-xs text-slate-500 bg-blue-50 p-2 rounded">
|
||
<strong>Fair Threshold:</strong> ±{metrics.statistical_parity_difference.threshold || 0.1}
|
||
{metrics.statistical_parity_difference.fair
|
||
? " • Difference within acceptable range for equal treatment."
|
||
: " • Significant difference in positive outcome rates between groups."}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Group Metrics */}
|
||
{metrics.group_metrics && (
|
||
<div className="p-3 bg-white rounded border border-slate-200">
|
||
<div className="text-xs font-semibold text-slate-600 mb-2">GROUP PERFORMANCE</div>
|
||
<div className="grid grid-cols-1 md:grid-cols-2 gap-2">
|
||
{Object.entries(metrics.group_metrics).map(([group, groupMetrics]: [string, any]) => (
|
||
<div key={group} className="p-2 bg-slate-50 rounded">
|
||
<div className="font-medium text-sm text-slate-800">{group}</div>
|
||
<div className="text-xs text-slate-600 mt-1">
|
||
<div>Positive Rate: <strong>{groupMetrics.positive_rate !== undefined ? (groupMetrics.positive_rate * 100).toFixed(1) : 'N/A'}%</strong></div>
|
||
<div>Sample Size: <strong>{groupMetrics.sample_size ?? 'N/A'}</strong></div>
|
||
{groupMetrics.tpr !== undefined && <div>True Positive Rate: <strong>{(groupMetrics.tpr * 100).toFixed(1)}%</strong></div>}
|
||
</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
))}
|
||
</div>
|
||
)}
|
||
|
||
{/* Violations */}
|
||
{analyzeResult.bias_metrics.violations_detected.length > 0 && (
|
||
<div className="p-6 bg-red-50 rounded-xl border-2 border-red-200">
|
||
<h3 className="font-bold text-lg mb-4 flex items-center gap-2 text-red-800">
|
||
<span>⚠️</span>
|
||
Fairness Violations Detected
|
||
</h3>
|
||
<div className="space-y-4">
|
||
{analyzeResult.bias_metrics.violations_detected.map((violation: any, i: number) => {
|
||
// Map bias violations to relevant GDPR articles
|
||
const gdprArticles = [
|
||
{
|
||
article: 'Article 5(1)(a) - Lawfulness, Fairness, and Transparency',
|
||
explanation: 'Personal data must be processed fairly. Algorithmic bias violates the fairness principle.'
|
||
},
|
||
{
|
||
article: 'Article 22 - Automated Decision-Making',
|
||
explanation: 'Individuals have the right not to be subject to decisions based solely on automated processing that produce legal or similarly significant effects, especially if discriminatory.'
|
||
},
|
||
{
|
||
article: 'Recital 71 - Safeguards Against Discrimination',
|
||
explanation: 'Automated decision-making should not be based on special categories of data and should include safeguards to prevent discriminatory effects.'
|
||
}
|
||
];
|
||
|
||
// Add ECOA if dealing with credit/lending
|
||
const isCredit = violation.attribute && (
|
||
violation.attribute.toLowerCase().includes('credit') ||
|
||
violation.attribute.toLowerCase().includes('loan') ||
|
||
violation.attribute.toLowerCase().includes('income')
|
||
);
|
||
|
||
return (
|
||
<div key={i} className="p-5 bg-white rounded-xl border-2 border-red-300 shadow-sm hover:shadow-md transition-all">
|
||
{/* Violation Header */}
|
||
<div className="flex items-start gap-3 mb-4">
|
||
<span className={`px-3 py-1 rounded-full text-xs font-black shadow-sm ${
|
||
violation.severity === 'HIGH' ? 'bg-red-600 text-white' :
|
||
violation.severity === 'MEDIUM' ? 'bg-orange-600 text-white' :
|
||
'bg-yellow-600 text-white'
|
||
}`}>
|
||
{violation.severity}
|
||
</span>
|
||
<div className="flex-1">
|
||
<div className="font-bold text-lg text-slate-900">
|
||
{violation.attribute}: {violation.metric}
|
||
</div>
|
||
<div className="text-sm text-slate-700 mt-1">{violation.message}</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Violation Details */}
|
||
{violation.details && (
|
||
<div className="mb-4 p-3 bg-slate-50 rounded-lg border border-slate-200">
|
||
<div className="text-xs font-semibold text-slate-600 mb-1">📊 TECHNICAL DETAILS</div>
|
||
<div className="text-sm text-slate-700">{violation.details}</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* GDPR Articles Violated */}
|
||
<div className="mb-4 p-4 bg-gradient-to-br from-blue-50 to-indigo-50 rounded-lg border border-blue-200">
|
||
<div className="text-xs font-bold text-blue-800 mb-3 flex items-center gap-2">
|
||
<span>⚖️</span>
|
||
GDPR ARTICLES VIOLATED
|
||
</div>
|
||
<div className="space-y-2">
|
||
{gdprArticles.map((gdpr, idx) => (
|
||
<div key={idx} className="p-2 bg-white/70 rounded border border-blue-200">
|
||
<div className="font-semibold text-xs text-blue-900">{gdpr.article}</div>
|
||
<div className="text-xs text-slate-700 mt-1">{gdpr.explanation}</div>
|
||
</div>
|
||
))}
|
||
{isCredit && (
|
||
<div className="p-2 bg-white/70 rounded border border-orange-200">
|
||
<div className="font-semibold text-xs text-orange-900">ECOA (Equal Credit Opportunity Act)</div>
|
||
<div className="text-xs text-slate-700 mt-1">
|
||
Prohibits discrimination in credit decisions based on protected characteristics. This bias violation may constitute illegal discrimination.
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Recommendations */}
|
||
<div className="p-3 bg-gradient-to-r from-green-50 to-emerald-50 rounded-lg border border-green-200">
|
||
<div className="text-xs font-semibold text-green-800 mb-2">✓ RECOMMENDED ACTIONS</div>
|
||
<ul className="text-sm text-slate-700 space-y-1">
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-green-600">•</span>
|
||
<span>Investigate and remediate bias in the {violation.attribute} attribute</span>
|
||
</li>
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-green-600">•</span>
|
||
<span>Implement fairness constraints during model training</span>
|
||
</li>
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-green-600">•</span>
|
||
<span>Consider rebalancing dataset or applying bias mitigation techniques</span>
|
||
</li>
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-green-600">•</span>
|
||
<span>Document fairness assessment in GDPR Article 35 DPIA (Data Protection Impact Assessment)</span>
|
||
</li>
|
||
{violation.severity === 'HIGH' && (
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-red-600">•</span>
|
||
<span className="text-red-700 font-semibold">URGENT: This high-severity violation requires immediate attention before deployment</span>
|
||
</li>
|
||
)}
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Key Insights */}
|
||
<div className="p-6 bg-gradient-to-br from-blue-50 to-cyan-50 rounded-xl border border-blue-200">
|
||
<h3 className="font-bold text-lg mb-3 flex items-center gap-2 text-blue-900">
|
||
<span>💡</span>
|
||
Key Insights
|
||
</h3>
|
||
<ul className="space-y-2 text-sm text-slate-700">
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-blue-600 mt-0.5">•</span>
|
||
<span><strong>Bias Score {(analyzeResult.bias_metrics.overall_bias_score * 100).toFixed(1)}%</strong> indicates
|
||
{analyzeResult.bias_metrics.overall_bias_score < 0.3 ? ' strong fairness with minimal disparities across groups.'
|
||
: analyzeResult.bias_metrics.overall_bias_score < 0.5 ? ' moderate disparities that should be monitored and addressed.'
|
||
: ' significant unfairness requiring immediate remediation before deployment.'}</span>
|
||
</li>
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-blue-600 mt-0.5">•</span>
|
||
<span><strong>Model achieves {(analyzeResult.model_performance.accuracy * 100).toFixed(1)}% accuracy</strong>,
|
||
but fairness metrics reveal how performance varies across demographic groups.</span>
|
||
</li>
|
||
{analyzeResult.bias_metrics.violations_detected.length > 0 ? (
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-red-600 mt-0.5">•</span>
|
||
<span className="text-red-700"><strong>{analyzeResult.bias_metrics.violations_detected.length} violation(s)</strong> detected.
|
||
Review mitigation tab for recommended actions to improve fairness.</span>
|
||
</li>
|
||
) : (
|
||
<li className="flex items-start gap-2">
|
||
<span className="text-green-600 mt-0.5">•</span>
|
||
<span className="text-green-700"><strong>No violations detected.</strong> Model meets fairness thresholds across all protected attributes.</span>
|
||
</li>
|
||
)}
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
) : (
|
||
<div className="text-center py-12">
|
||
<div className="text-6xl mb-4">📊</div>
|
||
<p className="text-slate-600 mb-2">No analysis results yet</p>
|
||
<p className="text-sm text-slate-500">Upload a dataset and click "Analyze" to see bias and fairness metrics</p>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
case "risk-analysis":
|
||
return (
|
||
<div className="space-y-6">
|
||
{analyzeResult ? (
|
||
<div className="space-y-6">
|
||
{/* Header: RISK ANALYSIS SUMMARY */}
|
||
<div className="relative overflow-hidden rounded-xl border-2 border-slate-300 bg-gradient-to-br from-slate-800 via-slate-700 to-slate-900 p-8 shadow-2xl">
|
||
<div className="absolute top-0 right-0 w-64 h-64 bg-gradient-to-br from-blue-500/10 to-purple-500/10 rounded-full blur-3xl"></div>
|
||
<div className="relative">
|
||
<div className="flex items-center gap-3 mb-6 pb-4 border-b border-slate-600">
|
||
<span className="text-4xl">🔒</span>
|
||
<h2 className="text-3xl font-black text-white tracking-tight">RISK ANALYSIS SUMMARY</h2>
|
||
</div>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-3 gap-6">
|
||
{/* Overall Risk */}
|
||
<div className="bg-white/10 backdrop-blur-sm rounded-xl p-5 border border-white/20">
|
||
<div className="text-sm font-medium text-slate-300 mb-2">📊 Overall Risk</div>
|
||
<div className="text-5xl font-black text-white mb-2">
|
||
{(analyzeResult.risk_assessment.overall_risk_score * 100).toFixed(1)}%
|
||
</div>
|
||
<div className={`inline-flex px-3 py-1 rounded-full text-xs font-bold ${
|
||
analyzeResult.risk_assessment.risk_level === 'CRITICAL' ? 'bg-red-500 text-white' :
|
||
analyzeResult.risk_assessment.risk_level === 'HIGH' ? 'bg-orange-500 text-white' :
|
||
analyzeResult.risk_assessment.risk_level === 'MEDIUM' ? 'bg-yellow-500 text-slate-900' :
|
||
'bg-green-500 text-white'
|
||
}`}>
|
||
{analyzeResult.risk_assessment.risk_level}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Presidio Status */}
|
||
<div className="bg-white/10 backdrop-blur-sm rounded-xl p-5 border border-white/20">
|
||
<div className="text-sm font-medium text-slate-300 mb-2">🔒 Detection Engine</div>
|
||
<div className="text-2xl font-bold text-white mb-2">
|
||
{analyzeResult.risk_assessment.presidio_enabled ? 'Presidio' : 'Regex'}
|
||
</div>
|
||
<div className={`inline-flex items-center gap-2 px-3 py-1 rounded-full text-xs font-bold ${
|
||
analyzeResult.risk_assessment.presidio_enabled
|
||
? 'bg-blue-500 text-white'
|
||
: 'bg-slate-600 text-slate-200'
|
||
}`}>
|
||
<span className={`w-2 h-2 rounded-full ${
|
||
analyzeResult.risk_assessment.presidio_enabled ? 'bg-white animate-pulse' : 'bg-slate-400'
|
||
}`}></span>
|
||
{analyzeResult.risk_assessment.presidio_enabled ? 'Enhanced' : 'Standard'}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Violations */}
|
||
<div className="bg-white/10 backdrop-blur-sm rounded-xl p-5 border border-white/20">
|
||
<div className="text-sm font-medium text-slate-300 mb-2">⚠️ Violations</div>
|
||
<div className={`text-5xl font-black mb-2 ${
|
||
(analyzeResult.risk_assessment.violations?.length || 0) > 0
|
||
? 'text-red-400'
|
||
: 'text-green-400'
|
||
}`}>
|
||
{analyzeResult.risk_assessment.violations?.length || 0}
|
||
</div>
|
||
<div className="text-xs text-slate-300">
|
||
{(analyzeResult.risk_assessment.violations?.filter((v: any) => v.severity === 'CRITICAL').length || 0)} Critical Issues
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Risk Categories Grid with Enhanced Design */}
|
||
<div className="bg-white rounded-xl border-2 border-slate-200 p-6 shadow-lg">
|
||
<div className="flex items-center gap-2 mb-6">
|
||
<span className="text-2xl">📈</span>
|
||
<h3 className="text-xl font-bold text-slate-800">Category Scores</h3>
|
||
</div>
|
||
|
||
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
|
||
{Object.entries(analyzeResult.risk_assessment.risk_categories || {}).map(([category, score]: [string, any]) => {
|
||
const riskPct = (score * 100);
|
||
const riskLevel = riskPct >= 70 ? 'CRITICAL' : riskPct >= 50 ? 'HIGH' : riskPct >= 30 ? 'MEDIUM' : 'LOW';
|
||
const categoryConfig: Record<string, { icon: string; label: string; color: string }> = {
|
||
privacy: { icon: '<27>', label: 'Privacy', color: 'blue' },
|
||
ethical: { icon: '🟠', label: 'Ethical', color: 'purple' },
|
||
compliance: { icon: '<27>', label: 'Compliance', color: 'indigo' },
|
||
security: { icon: '<27>', label: 'Security', color: 'cyan' },
|
||
operational: { icon: '🟠', label: 'Operational', color: 'orange' },
|
||
data_quality: { icon: '<27>', label: 'Data Quality', color: 'green' }
|
||
};
|
||
|
||
const config = categoryConfig[category] || { icon: '📌', label: category, color: 'slate' };
|
||
|
||
// Dynamic emoji based on risk level
|
||
const riskEmoji = riskPct < 25 ? '🟢' : riskPct < 50 ? '🟡' : '🟠';
|
||
|
||
return (
|
||
<div key={category} className={`relative overflow-hidden rounded-xl border-2 p-5 transition-all hover:shadow-xl hover:scale-105 ${
|
||
riskLevel === 'CRITICAL' ? 'border-red-300 bg-gradient-to-br from-red-50 via-white to-red-50' :
|
||
riskLevel === 'HIGH' ? 'border-orange-300 bg-gradient-to-br from-orange-50 via-white to-orange-50' :
|
||
riskLevel === 'MEDIUM' ? 'border-yellow-300 bg-gradient-to-br from-yellow-50 via-white to-yellow-50' :
|
||
'border-green-300 bg-gradient-to-br from-green-50 via-white to-green-50'
|
||
}`}>
|
||
<div className="absolute top-0 right-0 w-20 h-20 bg-gradient-to-br from-white/50 to-transparent rounded-full blur-2xl"></div>
|
||
|
||
<div className="relative">
|
||
<div className="flex items-start justify-between mb-3">
|
||
<span className="text-3xl">{riskEmoji}</span>
|
||
<span className={`text-xs font-black px-2.5 py-1 rounded-full shadow-sm ${
|
||
riskLevel === 'CRITICAL' ? 'bg-red-600 text-white' :
|
||
riskLevel === 'HIGH' ? 'bg-orange-600 text-white' :
|
||
riskLevel === 'MEDIUM' ? 'bg-yellow-600 text-white' :
|
||
'bg-green-600 text-white'
|
||
}`}>
|
||
{riskLevel}
|
||
</span>
|
||
</div>
|
||
|
||
<div className="text-sm font-bold text-slate-600 uppercase tracking-wide mb-2">
|
||
{config.label}
|
||
</div>
|
||
|
||
<div className="text-4xl font-black bg-gradient-to-r from-slate-800 to-slate-600 bg-clip-text text-transparent mb-3">
|
||
{riskPct.toFixed(1)}%
|
||
</div>
|
||
|
||
{/* Progress Bar */}
|
||
<div className="relative h-2 bg-slate-200 rounded-full overflow-hidden shadow-inner">
|
||
<div
|
||
className={`absolute inset-y-0 left-0 rounded-full transition-all duration-700 ease-out ${
|
||
riskLevel === 'CRITICAL' ? 'bg-gradient-to-r from-red-500 via-red-600 to-red-700' :
|
||
riskLevel === 'HIGH' ? 'bg-gradient-to-r from-orange-500 via-orange-600 to-orange-700' :
|
||
riskLevel === 'MEDIUM' ? 'bg-gradient-to-r from-yellow-500 via-yellow-600 to-yellow-700' :
|
||
'bg-gradient-to-r from-green-500 via-green-600 to-green-700'
|
||
}`}
|
||
style={{ width: `${Math.min(riskPct, 100)}%` }}
|
||
>
|
||
<div className="absolute inset-0 bg-gradient-to-r from-transparent via-white/20 to-transparent animate-pulse"></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Risky Features Analysis - Feature-Level Risk Display */}
|
||
{analyzeResult.risk_assessment.privacy_risks && (
|
||
<div className="bg-white rounded-xl border-2 border-slate-200 p-6 shadow-lg">
|
||
<div className="flex items-center gap-2 mb-6">
|
||
<span className="text-2xl">⚠️</span>
|
||
<h3 className="text-xl font-bold text-slate-800">Risky Features & Columns</h3>
|
||
<span className="ml-auto px-3 py-1 bg-red-100 text-red-700 rounded-full text-xs font-semibold">
|
||
{typeof analyzeResult.risk_assessment.privacy_risks === 'object' && !Array.isArray(analyzeResult.risk_assessment.privacy_risks)
|
||
? (analyzeResult.risk_assessment.privacy_risks.pii_count || 0)
|
||
: (Array.isArray(analyzeResult.risk_assessment.privacy_risks) ? analyzeResult.risk_assessment.privacy_risks.length : 0)} Risky Features Found
|
||
</span>
|
||
</div>
|
||
|
||
{/* Risky Features List */}
|
||
{(typeof analyzeResult.risk_assessment.privacy_risks === 'object' &&
|
||
!Array.isArray(analyzeResult.risk_assessment.privacy_risks) &&
|
||
analyzeResult.risk_assessment.privacy_risks.pii_detected &&
|
||
analyzeResult.risk_assessment.privacy_risks.pii_detected.length > 0) ? (
|
||
<div className="space-y-4">
|
||
{/* Privacy Risk Metrics Summary */}
|
||
<div className="grid grid-cols-2 md:grid-cols-4 gap-3 p-4 bg-gradient-to-br from-red-50 to-orange-50 rounded-lg border-2 border-red-200">
|
||
<div className="text-center">
|
||
<div className="text-xs text-slate-600 mb-1 font-semibold">Re-Identification Risk</div>
|
||
<div className={`text-3xl font-black ${
|
||
(analyzeResult.risk_assessment.privacy_risks.reidentification_risk || 0) > 0.7 ? 'text-red-600' :
|
||
(analyzeResult.risk_assessment.privacy_risks.reidentification_risk || 0) > 0.4 ? 'text-orange-600' :
|
||
'text-green-600'
|
||
}`}>
|
||
{analyzeResult.risk_assessment.privacy_risks.reidentification_risk
|
||
? (analyzeResult.risk_assessment.privacy_risks.reidentification_risk * 100).toFixed(0)
|
||
: 0}%
|
||
</div>
|
||
<div className="text-xs text-slate-500 mt-1">Can individuals be identified?</div>
|
||
</div>
|
||
<div className="text-center">
|
||
<div className="text-xs text-slate-600 mb-1 font-semibold">Data Minimization</div>
|
||
<div className={`text-3xl font-black ${
|
||
(analyzeResult.risk_assessment.privacy_risks.data_minimization_score || 0) > 0.7 ? 'text-green-600' :
|
||
(analyzeResult.risk_assessment.privacy_risks.data_minimization_score || 0) > 0.4 ? 'text-orange-600' :
|
||
'text-red-600'
|
||
}`}>
|
||
{analyzeResult.risk_assessment.privacy_risks.data_minimization_score
|
||
? (analyzeResult.risk_assessment.privacy_risks.data_minimization_score * 100).toFixed(0)
|
||
: 0}%
|
||
</div>
|
||
<div className="text-xs text-slate-500 mt-1">Collecting only necessary data</div>
|
||
</div>
|
||
<div className="text-center">
|
||
<div className="text-xs text-slate-600 mb-1 font-semibold">Anonymization Level</div>
|
||
<div className={`text-sm font-black px-3 py-1 rounded-full inline-block ${
|
||
analyzeResult.risk_assessment.privacy_risks.anonymization_level === 'FULL' ? 'bg-green-100 text-green-700' :
|
||
analyzeResult.risk_assessment.privacy_risks.anonymization_level === 'PARTIAL' ? 'bg-yellow-100 text-yellow-700' :
|
||
'bg-red-100 text-red-700'
|
||
}`}>
|
||
{analyzeResult.risk_assessment.privacy_risks.anonymization_level || 'NONE'}
|
||
</div>
|
||
<div className="text-xs text-slate-500 mt-1">Protection applied</div>
|
||
</div>
|
||
<div className="text-center">
|
||
<div className="text-xs text-slate-600 mb-1 font-semibold">Detection Method</div>
|
||
<div className="text-sm font-bold text-slate-800 px-3 py-1 bg-white rounded border-2 border-slate-300 inline-block">
|
||
{analyzeResult.risk_assessment.privacy_risks.detection_method || 'Auto'}
|
||
</div>
|
||
<div className="text-xs text-slate-500 mt-1">Analysis engine used</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Individual Risky Features */}
|
||
<div className="space-y-3">
|
||
<h4 className="font-bold text-slate-700 flex items-center gap-2">
|
||
<span>🔍</span> Detailed Feature Risk Analysis
|
||
</h4>
|
||
{analyzeResult.risk_assessment.privacy_risks.pii_detected.map((pii: any, idx: number) => {
|
||
// Map PII types to risk explanations with GDPR Article references
|
||
const riskExplanations: Record<string, { why: string; impact: string; gdprArticles: string[]; actions: string[] }> = {
|
||
'EMAIL_ADDRESS': {
|
||
why: 'Email addresses are direct identifiers that can be used to contact and track individuals across systems, creating privacy risks.',
|
||
impact: 'HIGH RISK: Can lead to identity theft, phishing attacks, unauthorized marketing, and privacy violations under GDPR Article 6.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Definition of Personal Data: Email is personally identifiable information',
|
||
'Article 6 - Lawful Basis Required: Processing requires consent, contract, or legitimate interest',
|
||
'Article 7 - Consent Conditions: Must obtain explicit, informed consent',
|
||
'Article 17 - Right to Erasure: Users can request email deletion',
|
||
'Article 21 - Right to Object: Users can opt out of email processing'
|
||
],
|
||
actions: ['Encrypt email addresses', 'Hash or pseudonymize for analytics', 'Implement consent management', 'Enable right to erasure', 'Provide opt-out mechanisms']
|
||
},
|
||
'EMAIL': {
|
||
why: 'Email addresses are direct identifiers that can be used to contact and track individuals across systems.',
|
||
impact: 'HIGH RISK: Can lead to identity theft, phishing attacks, unauthorized marketing, and privacy violations.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data Definition',
|
||
'Article 6 - Lawful Basis for Processing',
|
||
'Article 7 - Conditions for Consent',
|
||
'Article 17 - Right to Erasure'
|
||
],
|
||
actions: ['Encrypt email addresses', 'Implement consent management', 'Enable deletion on request', 'Apply data minimization']
|
||
},
|
||
'PHONE_NUMBER': {
|
||
why: 'Phone numbers directly identify individuals and enable real-time contact, creating opportunities for harassment and fraud.',
|
||
impact: 'HIGH RISK: Enables unwanted contact, harassment, SIM swapping attacks, location tracking, and telemarketing violations.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Phone numbers identify natural persons',
|
||
'Article 6 - Lawfulness of Processing: Requires lawful basis',
|
||
'Article 32 - Security of Processing: Must implement appropriate security measures',
|
||
'Article 21 - Right to Object to Processing',
|
||
'ePrivacy Directive - Consent required for electronic communications'
|
||
],
|
||
actions: ['Remove if not essential', 'Apply tokenization', 'Restrict access controls', 'Implement call verification', 'Enable number suppression']
|
||
},
|
||
'PHONE': {
|
||
why: 'Phone numbers are direct personal identifiers enabling contact and tracking.',
|
||
impact: 'HIGH RISK: Harassment, fraud, and unauthorized marketing.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 6 - Lawful Processing',
|
||
'Article 32 - Security Measures'
|
||
],
|
||
actions: ['Tokenize phone numbers', 'Implement access controls', 'Enable opt-out']
|
||
},
|
||
'PERSON': {
|
||
why: 'Personal names are primary identifiers. Combined with other quasi-identifiers (age, location), they enable complete re-identification.',
|
||
impact: 'MEDIUM-HIGH RISK: When combined with location, age, or other quasi-identifiers, creates high re-identification risk violating k-anonymity.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Names identify natural persons',
|
||
'Article 5(1)(c) - Data Minimization: Collect only necessary data',
|
||
'Article 5(1)(e) - Storage Limitation: Keep only as long as necessary',
|
||
'Article 25 - Data Protection by Design and Default',
|
||
'Article 32(1)(a) - Pseudonymization and encryption requirements'
|
||
],
|
||
actions: ['Use pseudonyms or IDs', 'Apply k-anonymity techniques (k≥5)', 'Separate name from sensitive attributes', 'Implement access logging', 'Apply l-diversity for protection']
|
||
},
|
||
'NAME': {
|
||
why: 'Names are direct personal identifiers that enable individual identification.',
|
||
impact: 'MEDIUM-HIGH RISK: Re-identification when combined with other data.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 5(1)(c) - Data Minimization',
|
||
'Article 25 - Data Protection by Design'
|
||
],
|
||
actions: ['Use pseudonyms', 'Apply k-anonymity', 'Implement access logging']
|
||
},
|
||
'LOCATION': {
|
||
why: 'Location data reveals where individuals live, work, and travel, exposing personal patterns, habits, and sensitive locations (hospitals, religious sites).',
|
||
impact: 'HIGH RISK: Can expose home addresses, workplaces, medical facilities, places of worship, creating discrimination and stalking risks.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Location identifies individuals',
|
||
'Article 9(1) - Special Categories: Location at sensitive sites reveals protected characteristics',
|
||
'Article 32 - Security Measures: Encryption and access controls required',
|
||
'Article 35 - Data Protection Impact Assessment: Required for location tracking',
|
||
'Recital 30 - Online identifiers and location data'
|
||
],
|
||
actions: ['Generalize to zip code or city level', 'Apply geographic masking', 'Remove precise coordinates', 'Implement geofencing', 'Conduct DPIA', 'Apply differential privacy']
|
||
},
|
||
'ADDRESS': {
|
||
why: 'Physical addresses directly identify individuals and their home locations.',
|
||
impact: 'HIGH RISK: Enables stalking, burglary, and privacy violations.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 9 - Special Categories (if sensitive location)',
|
||
'Article 32 - Security Measures'
|
||
],
|
||
actions: ['Generalize to zip code', 'Apply geographic masking', 'Restrict access']
|
||
},
|
||
'SSN': {
|
||
why: 'Social Security Numbers are PERMANENT unique identifiers used across critical systems (banking, taxes, healthcare, employment).',
|
||
impact: 'CRITICAL RISK: Enables complete identity theft, fraudulent credit, tax fraud, medical identity theft, and unauthorized government benefits access.',
|
||
gdprArticles: [
|
||
'Article 9(1) - Special Category Data: Often linked to health/financial data',
|
||
'Article 32 - Security of Processing: Encryption, access controls, pseudonymization mandatory',
|
||
'Article 33 - Breach Notification: Immediate notification required',
|
||
'Article 34 - Data Subject Notification: Notify individuals of breaches',
|
||
'Article 35 - Data Protection Impact Assessment: DPIA required',
|
||
'Recital 75 - High risk to rights and freedoms'
|
||
],
|
||
actions: ['REMOVE IMMEDIATELY if possible', 'Encrypt with AES-256', 'Never display in full', 'Implement strict access controls', 'Conduct DPIA', 'Enable breach detection', 'Maintain audit logs']
|
||
},
|
||
'US_SSN': {
|
||
why: 'US Social Security Numbers are permanent government identifiers linked to financial, medical, employment, and government benefits.',
|
||
impact: 'CRITICAL RISK: Highest identity theft risk. Compromise leads to decades of fraud, financial damage, and cannot be changed.',
|
||
gdprArticles: [
|
||
'Article 9(1) - Special Category: Links to health and financial data',
|
||
'Article 32 - Security Measures: State-of-the-art encryption required',
|
||
'Article 33 - Breach Notification: 72-hour notification to supervisory authority',
|
||
'Article 34 - Communication to Data Subjects: Immediate notification',
|
||
'Article 35 - DPIA: Mandatory impact assessment'
|
||
],
|
||
actions: ['Encrypt end-to-end with AES-256', 'Use last 4 digits only for display', 'Implement multi-factor authentication', 'Enable breach detection', 'Create comprehensive audit trails', 'Apply tokenization', 'Conduct annual security audits']
|
||
},
|
||
'CREDIT_CARD': {
|
||
why: 'Credit card numbers provide direct access to financial accounts and purchasing power, subject to PCI-DSS and GDPR.',
|
||
impact: 'CRITICAL RISK: Financial fraud, unauthorized transactions, PCI-DSS violations (fines up to $500K/month), GDPR violations (4% global revenue).',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Financial identifiers',
|
||
'Article 32 - Security of Processing: PCI-DSS Level 1 compliance mandatory',
|
||
'Article 33 - Breach Notification: Immediate reporting required',
|
||
'Article 34 - Data Subject Notification',
|
||
'PCI-DSS Standards: Cannot store CVV, must tokenize'
|
||
],
|
||
actions: ['Tokenize immediately', 'Never store CVV/CVC', 'Use PCI-compliant vault', 'Implement fraud detection', 'Apply end-to-end encryption', 'Use 3D Secure', 'Maintain PCI-DSS certification', 'Conduct quarterly security scans']
|
||
},
|
||
'CARD': {
|
||
why: 'Card numbers enable direct financial access.',
|
||
impact: 'CRITICAL RISK: Financial fraud and PCI-DSS violations.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 32 - Security Measures',
|
||
'PCI-DSS Compliance'
|
||
],
|
||
actions: ['Tokenize immediately', 'Use PCI-compliant vault', 'Never store CVV']
|
||
},
|
||
'IP_ADDRESS': {
|
||
why: 'IP addresses are online identifiers that track user behavior, reveal location, and enable device fingerprinting across websites.',
|
||
impact: 'MEDIUM RISK: Enables tracking across websites, reveals approximate location, can be linked to individuals, violates ePrivacy Directive.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Online identifier',
|
||
'Article 6 - Lawful Basis: Requires consent or legitimate interest',
|
||
'ePrivacy Directive - Consent for cookies and tracking',
|
||
'Recital 30 - Online identifiers and IP addresses',
|
||
'Article 21 - Right to Object to profiling'
|
||
],
|
||
actions: ['Truncate last octet for IPv4', 'Hash for analytics', 'Implement IP anonymization', 'Reduce retention period to 90 days', 'Provide opt-out for tracking', 'Apply differential privacy']
|
||
},
|
||
'IP': {
|
||
why: 'IP addresses are online identifiers enabling tracking.',
|
||
impact: 'MEDIUM RISK: Cross-site tracking and location revelation.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Online Identifier',
|
||
'Article 6 - Lawful Basis',
|
||
'ePrivacy Directive'
|
||
],
|
||
actions: ['Truncate IP addresses', 'Hash for analytics', 'Reduce retention']
|
||
},
|
||
'MEDICAL_LICENSE': {
|
||
why: 'Medical information is SPECIAL CATEGORY DATA under GDPR Article 9, requiring the highest level of protection due to discrimination risks.',
|
||
impact: 'CRITICAL RISK: Health data breach leads to discrimination, insurance denial, employment issues, severe privacy violations, and HIPAA fines.',
|
||
gdprArticles: [
|
||
'Article 9(1) - Special Category (Health Data): Explicit consent required',
|
||
'Article 9(2)(h) - Health/social care exception',
|
||
'Article 32 - Security of Processing: Encryption mandatory',
|
||
'Article 35 - DPIA: Impact assessment required',
|
||
'Article 25 - Data Protection by Design',
|
||
'HIPAA Compliance (if applicable)'
|
||
],
|
||
actions: ['Encrypt with healthcare-grade security (AES-256)', 'Implement role-based access control (RBAC)', 'Conduct Data Protection Impact Assessment', 'Apply strict retention policies', 'Ensure HIPAA compliance', 'Use de-identification techniques', 'Maintain comprehensive audit logs']
|
||
},
|
||
'MEDICAL': {
|
||
why: 'Medical data is special category data requiring explicit consent.',
|
||
impact: 'CRITICAL RISK: Discrimination and severe privacy violations.',
|
||
gdprArticles: [
|
||
'Article 9(1) - Special Category (Health)',
|
||
'Article 32 - Security',
|
||
'Article 35 - DPIA Required'
|
||
],
|
||
actions: ['Encrypt data', 'Implement RBAC', 'Conduct DPIA']
|
||
},
|
||
'US_DRIVER_LICENSE': {
|
||
why: 'Driver license numbers are government-issued identifiers used for identity verification across financial, healthcare, and government systems.',
|
||
impact: 'HIGH RISK: Identity fraud, fake ID creation, unauthorized access to services, and DMV record access.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Government identifier',
|
||
'Article 6 - Lawful Processing: Document lawful basis',
|
||
'Article 32 - Security Measures: Encryption and access controls',
|
||
'Article 15 - Right of Access: Individuals can request data',
|
||
'Article 17 - Right to Erasure: Deletion on request'
|
||
],
|
||
actions: ['Hash or encrypt license numbers', 'Limit to identity verification only', 'Never display in full', 'Implement verification logging', 'Apply pseudonymization', 'Enable deletion mechanisms']
|
||
},
|
||
'LICENSE': {
|
||
why: 'License numbers are government identifiers.',
|
||
impact: 'HIGH RISK: Identity fraud and unauthorized access.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 6 - Lawful Processing',
|
||
'Article 32 - Security'
|
||
],
|
||
actions: ['Hash license numbers', 'Limit to verification', 'Never display in full']
|
||
},
|
||
'US_PASSPORT': {
|
||
why: 'Passport numbers are international identity documents used for travel and high-security identification, recognized globally.',
|
||
impact: 'CRITICAL RISK: International identity fraud, unauthorized travel booking, visa fraud, and access to secure facilities.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Unique government identifier',
|
||
'Article 32 - Security Measures: State-of-the-art encryption required',
|
||
'Article 35 - Impact Assessment: DPIA for high-risk processing',
|
||
'Article 5(1)(f) - Integrity and Confidentiality',
|
||
'Cross-border data transfer regulations'
|
||
],
|
||
actions: ['Encrypt with strong encryption (AES-256)', 'Restrict access to authorized personnel only', 'Implement tamper detection', 'Apply geographic access controls', 'Maintain detailed audit trails', 'Use tokenization', 'Implement MFA for access']
|
||
},
|
||
'PASSPORT': {
|
||
why: 'Passport numbers enable international identification.',
|
||
impact: 'CRITICAL RISK: International fraud and unauthorized travel.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 32 - Security Measures',
|
||
'Article 35 - Impact Assessment'
|
||
],
|
||
actions: ['Encrypt passports', 'Restrict access', 'Implement tamper detection']
|
||
},
|
||
'US_BANK_NUMBER': {
|
||
why: 'Bank account numbers provide DIRECT ACCESS to financial accounts and enable ACH transfers, wire transfers, and direct debits.',
|
||
impact: 'CRITICAL RISK: Unauthorized withdrawals, ACH fraud, wire transfer fraud, complete account takeover, and financial ruin.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Financial identifier',
|
||
'Article 32 - Security Measures: Encryption and tokenization mandatory',
|
||
'Article 33 - Breach Notification: 72-hour notification',
|
||
'Article 34 - Data Subject Notification: Immediate alert to account holders',
|
||
'PSD2 - Strong Customer Authentication required'
|
||
],
|
||
actions: ['Tokenize immediately', 'Never display account numbers', 'Use secure payment gateways', 'Implement transaction monitoring', 'Apply multi-factor authentication', 'Use Strong Customer Authentication (SCA)', 'Enable fraud alerts', 'Encrypt at rest and in transit']
|
||
},
|
||
'BANK_ACCOUNT': {
|
||
why: 'Bank account numbers enable direct financial access.',
|
||
impact: 'CRITICAL RISK: Financial fraud and account takeover.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 32 - Security Measures',
|
||
'Article 33 - Breach Notification'
|
||
],
|
||
actions: ['Tokenize accounts', 'Never display numbers', 'Implement MFA']
|
||
},
|
||
'DOB': {
|
||
why: 'Date of birth is a quasi-identifier that combined with other data enables re-identification and age-based discrimination.',
|
||
impact: 'MEDIUM-HIGH RISK: Combined with name and zip code, enables 87% re-identification rate. Age discrimination risk.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Quasi-identifier',
|
||
'Article 5(1)(c) - Data Minimization: Use age ranges instead',
|
||
'Article 9 - Special Categories: Can reveal protected characteristics',
|
||
'Article 22 - Automated Decision-Making: Age-based profiling restrictions',
|
||
'Recital 26 - Pseudonymization reduces risks'
|
||
],
|
||
actions: ['Use age ranges instead of exact DOB', 'Apply k-anonymity (k≥5)', 'Generalize to year or month', 'Separate from other identifiers', 'Implement access controls', 'Apply l-diversity']
|
||
},
|
||
'ZIP_CODE': {
|
||
why: 'ZIP codes are geographic quasi-identifiers. Research shows 87% of US population uniquely identified by ZIP + DOB + Gender.',
|
||
impact: 'MEDIUM RISK: When combined with DOB and gender, enables 87% re-identification. Reveals socioeconomic status and demographics.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Quasi-identifier',
|
||
'Article 5(1)(c) - Data Minimization',
|
||
'Article 32(1)(a) - Pseudonymization',
|
||
'Recital 26 - Anonymization techniques',
|
||
'Article 25 - Data Protection by Default'
|
||
],
|
||
actions: ['Generalize to first 3 digits', 'Use geographic aggregation', 'Apply k-anonymity', 'Combine with other anonymization techniques', 'Separate from name and DOB']
|
||
},
|
||
'IBAN_CODE': {
|
||
why: 'IBAN (International Bank Account Number) provides access to bank accounts across European Economic Area.',
|
||
impact: 'CRITICAL RISK: International financial fraud, SEPA direct debit fraud, and cross-border money theft.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data',
|
||
'Article 32 - Security of Processing',
|
||
'Article 33 - Breach Notification',
|
||
'PSD2 - Strong Customer Authentication'
|
||
],
|
||
actions: ['Tokenize IBAN', 'Implement SCA', 'Use secure payment processors', 'Enable fraud monitoring', 'Apply encryption']
|
||
},
|
||
'CRYPTO': {
|
||
why: 'Cryptocurrency addresses and wallets are permanent financial identifiers that cannot be changed if compromised.',
|
||
impact: 'CRITICAL RISK: Irreversible financial theft, no fraud protection, transaction history exposure, wallet draining.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Personal Data: Cryptocurrency addresses can identify individuals',
|
||
'Article 5(1)(f) - Security Principle',
|
||
'Article 32 - Security Measures: Multi-signature and cold storage',
|
||
'Article 17 - Right to Erasure: Blockchain immutability challenges'
|
||
],
|
||
actions: ['Use multi-signature wallets', 'Implement cold storage', 'Never display private keys', 'Use hardware security modules', 'Apply address rotation', 'Implement withdrawal limits']
|
||
}
|
||
};
|
||
|
||
// Fallback for unmapped PII types
|
||
const riskInfo = riskExplanations[pii.type] || riskExplanations[pii.type.toUpperCase()] || {
|
||
why: 'This data type contains personal information that could identify individuals or reveal sensitive patterns according to GDPR Article 4(1).',
|
||
impact: 'POTENTIAL RISK: May violate privacy regulations if not properly protected. Could enable tracking, profiling, or discrimination.',
|
||
gdprArticles: [
|
||
'Article 4(1) - Definition of Personal Data',
|
||
'Article 5 - Principles: Lawfulness, Fairness, Transparency',
|
||
'Article 6 - Lawful Basis Required for Processing',
|
||
'Article 24 - Responsibility of the Controller',
|
||
'Article 25 - Data Protection by Design and Default'
|
||
],
|
||
actions: ['Review necessity of this data field', 'Apply appropriate anonymization techniques', 'Implement access controls and audit logging', 'Document lawful basis for processing', 'Conduct Privacy Impact Assessment']
|
||
};
|
||
|
||
return (
|
||
<div key={idx} className={`group relative overflow-hidden rounded-xl border-2 p-6 transition-all hover:shadow-xl ${
|
||
pii.severity === 'CRITICAL' ? 'bg-gradient-to-br from-red-50 via-white to-red-100 border-red-400' :
|
||
pii.severity === 'HIGH' ? 'bg-gradient-to-br from-orange-50 via-white to-orange-100 border-orange-400' :
|
||
pii.severity === 'MEDIUM' ? 'bg-gradient-to-br from-yellow-50 via-white to-yellow-100 border-yellow-400' :
|
||
'bg-gradient-to-br from-blue-50 via-white to-blue-100 border-blue-400'
|
||
}`}>
|
||
<div className="absolute top-0 right-0 w-40 h-40 bg-white/30 rounded-full blur-3xl"></div>
|
||
|
||
<div className="relative">
|
||
{/* Feature Header */}
|
||
<div className="flex items-start justify-between mb-4">
|
||
<div className="flex-1">
|
||
<div className="flex items-center gap-3 mb-2">
|
||
<span className="text-3xl">
|
||
{pii.severity === 'CRITICAL' ? '🔴' :
|
||
pii.severity === 'HIGH' ? '🟠' :
|
||
pii.severity === 'MEDIUM' ? '🟡' : '🔵'}
|
||
</span>
|
||
<div>
|
||
<div className="font-mono text-xl font-black text-slate-800">
|
||
{pii.column}
|
||
</div>
|
||
<div className="text-sm text-slate-600 mt-1">
|
||
<span className="font-semibold">PII Type:</span> {pii.type.replace(/_/g, ' ')}
|
||
{pii.occurrences && (
|
||
<>
|
||
<span className="mx-2">•</span>
|
||
<span className="font-semibold">Found in:</span> {pii.occurrences} rows
|
||
</>
|
||
)}
|
||
{pii.confidence && (
|
||
<>
|
||
<span className="mx-2">•</span>
|
||
<span className="font-semibold">Confidence:</span> {(pii.confidence * 100).toFixed(0)}%
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<span className={`px-4 py-2 rounded-full text-xs font-black shadow-lg ${
|
||
pii.severity === 'CRITICAL' ? 'bg-red-600 text-white' :
|
||
pii.severity === 'HIGH' ? 'bg-orange-600 text-white' :
|
||
pii.severity === 'MEDIUM' ? 'bg-yellow-600 text-white' :
|
||
'bg-blue-600 text-white'
|
||
}`}>
|
||
{pii.severity} RISK
|
||
</span>
|
||
</div>
|
||
|
||
{/* Why is this risky? */}
|
||
<div className="mb-4 p-4 bg-white rounded-lg border-2 border-slate-200">
|
||
<div className="flex items-start gap-2 mb-2">
|
||
<span className="text-xl">❓</span>
|
||
<div className="flex-1">
|
||
<div className="text-sm font-black text-slate-700 mb-2">WHY IS THIS FEATURE RISKY?</div>
|
||
<p className="text-sm text-slate-700 leading-relaxed">{riskInfo.why}</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Impact */}
|
||
<div className="mb-4 p-4 bg-gradient-to-r from-red-50 to-orange-50 rounded-lg border-2 border-red-200">
|
||
<div className="flex items-start gap-2 mb-2">
|
||
<span className="text-xl">⚠️</span>
|
||
<div className="flex-1">
|
||
<div className="text-sm font-black text-red-800 mb-2">POTENTIAL IMPACT IF EXPOSED</div>
|
||
<p className="text-sm text-slate-800 leading-relaxed font-semibold">{riskInfo.impact}</p>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* GDPR Articles Violated */}
|
||
<div className="mb-4 p-4 bg-gradient-to-r from-blue-50 to-indigo-50 rounded-lg border-2 border-blue-200">
|
||
<div className="flex items-start gap-2 mb-2">
|
||
<span className="text-xl">⚖️</span>
|
||
<div className="flex-1">
|
||
<div className="text-sm font-black text-blue-800 mb-2">GDPR ARTICLES VIOLATED / APPLICABLE</div>
|
||
<div className="space-y-1">
|
||
{riskInfo.gdprArticles.map((article, i) => (
|
||
<div key={i} className="flex items-start gap-2">
|
||
<span className="text-blue-600 mt-1">•</span>
|
||
<span className="text-sm text-slate-800 font-semibold">{article}</span>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Recommended Actions */}
|
||
<div className="p-4 bg-gradient-to-r from-green-50 to-emerald-50 rounded-lg border-2 border-green-300">
|
||
<div className="flex items-start gap-2 mb-3">
|
||
<span className="text-xl">✅</span>
|
||
<div className="flex-1">
|
||
<div className="text-sm font-black text-green-800 mb-2">RECOMMENDED ACTIONS TO REDUCE RISK</div>
|
||
<ul className="space-y-2">
|
||
{riskInfo.actions.map((action, i) => (
|
||
<li key={i} className="flex items-start gap-2">
|
||
<span className="text-green-600 font-bold mt-0.5">{i + 1}.</span>
|
||
<span className="text-sm text-slate-800 font-medium">{action}</span>
|
||
</li>
|
||
))}
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
</div>
|
||
) : (
|
||
<div className="text-sm text-slate-600 bg-green-50 border border-green-200 rounded-lg p-4 flex items-center gap-3">
|
||
<span className="text-2xl">✓</span>
|
||
<div>
|
||
<div className="font-semibold text-green-800">No PII Detected</div>
|
||
<div className="text-xs text-slate-600 mt-1">Dataset appears to be free of personally identifiable information</div>
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
)} {/* Violations Section with Enhanced Design */}
|
||
{analyzeResult.risk_assessment.violations &&
|
||
analyzeResult.risk_assessment.violations.length > 0 && (
|
||
<div className="bg-gradient-to-br from-red-50 via-white to-orange-50 rounded-xl border-2 border-red-200 p-6 shadow-lg">
|
||
<div className="flex items-center gap-3 mb-5">
|
||
<span className="text-3xl">⚠️</span>
|
||
<h3 className="text-xl font-bold text-slate-800">Violations</h3>
|
||
<span className="ml-auto px-4 py-1.5 bg-red-600 text-white rounded-full text-sm font-black shadow-md">
|
||
{analyzeResult.risk_assessment.violations.length} Issues Found
|
||
</span>
|
||
</div>
|
||
|
||
<div className="space-y-3">
|
||
{analyzeResult.risk_assessment.violations.map((violation: any, idx: number) => (
|
||
<div key={idx} className={`group relative overflow-hidden p-5 rounded-xl border-2 transition-all hover:shadow-lg hover:scale-[1.02] ${
|
||
violation.severity === 'CRITICAL' ? 'bg-gradient-to-r from-red-50 to-red-100 border-red-300' :
|
||
violation.severity === 'HIGH' ? 'bg-gradient-to-r from-orange-50 to-orange-100 border-orange-300' :
|
||
violation.severity === 'MEDIUM' ? 'bg-gradient-to-r from-yellow-50 to-yellow-100 border-yellow-300' :
|
||
'bg-gradient-to-r from-blue-50 to-blue-100 border-blue-300'
|
||
}`}>
|
||
<div className="absolute top-0 right-0 w-32 h-32 bg-white/20 rounded-full blur-3xl"></div>
|
||
|
||
<div className="relative">
|
||
<div className="flex items-start justify-between gap-3 mb-3">
|
||
<div className="flex items-center gap-2">
|
||
<span className={`text-xs font-black px-3 py-1.5 rounded-full shadow-sm ${
|
||
violation.severity === 'CRITICAL' ? 'bg-red-600 text-white' :
|
||
violation.severity === 'HIGH' ? 'bg-orange-600 text-white' :
|
||
violation.severity === 'MEDIUM' ? 'bg-yellow-600 text-slate-900' :
|
||
'bg-blue-600 text-white'
|
||
}`}>
|
||
{violation.severity}
|
||
</span>
|
||
<span className="text-xs font-bold text-slate-500 uppercase tracking-wider">
|
||
{violation.category}
|
||
</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div className="flex items-start gap-3">
|
||
<span className="text-2xl mt-1">
|
||
{violation.severity === 'CRITICAL' ? '🔴' :
|
||
violation.severity === 'HIGH' ? '🟠' :
|
||
violation.severity === 'MEDIUM' ? '🟡' : '🔵'}
|
||
</span>
|
||
<div className="flex-1">
|
||
<div className="text-base font-bold text-slate-800 mb-1">
|
||
{violation.message}
|
||
</div>
|
||
{violation.details && (
|
||
<div className="text-sm text-slate-600 leading-relaxed">
|
||
{violation.details}
|
||
</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Key Insights Section with Enhanced Design */}
|
||
{analyzeResult.risk_assessment.insights &&
|
||
analyzeResult.risk_assessment.insights.length > 0 && (
|
||
<div className="relative overflow-hidden bg-gradient-to-br from-blue-600 via-indigo-600 to-purple-600 rounded-xl border-2 border-blue-700 p-8 shadow-2xl">
|
||
<div className="absolute top-0 right-0 w-64 h-64 bg-white/5 rounded-full blur-3xl"></div>
|
||
<div className="absolute bottom-0 left-0 w-48 h-48 bg-purple-500/10 rounded-full blur-3xl"></div>
|
||
|
||
<div className="relative">
|
||
<div className="flex items-center gap-3 mb-6">
|
||
<span className="text-4xl">💡</span>
|
||
<h3 className="text-2xl font-black text-white">Key Insights</h3>
|
||
</div>
|
||
|
||
<div className="space-y-3">
|
||
{analyzeResult.risk_assessment.insights.map((insight: string, idx: number) => (
|
||
<div key={idx} className="flex items-start gap-3 bg-white/10 backdrop-blur-sm border border-white/20 rounded-lg p-4 hover:bg-white/15 transition-all">
|
||
<span className="text-yellow-300 text-xl mt-0.5 flex-shrink-0">•</span>
|
||
<span className="text-white text-sm leading-relaxed font-medium">{insight}</span>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Compliance Status - Enhanced with GDPR Article Details */}
|
||
{analyzeResult.risk_assessment.compliance_risks && (
|
||
<div className="bg-white rounded-xl border-2 border-slate-200 p-6 shadow-lg">
|
||
<div className="flex items-center gap-2 mb-6">
|
||
<span className="text-2xl">📋</span>
|
||
<h3 className="text-lg font-bold text-slate-800">Regulatory Compliance Status</h3>
|
||
</div>
|
||
|
||
<div className="space-y-4">
|
||
{Object.entries(analyzeResult.risk_assessment.compliance_risks)
|
||
.filter(([key]) => ['gdpr', 'ccpa', 'hipaa', 'ecoa'].includes(key))
|
||
.map(([regulation, data]: [string, any]) => {
|
||
if (!data || typeof data !== 'object') return null;
|
||
|
||
const regulationInfo: Record<string, { name: string; description: string; keyArticles: string[] }> = {
|
||
gdpr: {
|
||
name: 'GDPR (General Data Protection Regulation)',
|
||
description: 'EU regulation protecting personal data and privacy',
|
||
keyArticles: [
|
||
'Article 5 - Principles (lawfulness, fairness, transparency, purpose limitation, data minimization)',
|
||
'Article 6 - Lawful basis for processing',
|
||
'Article 7 - Conditions for consent',
|
||
'Article 9 - Processing special categories of personal data',
|
||
'Article 15-22 - Data subject rights (access, rectification, erasure, portability)',
|
||
'Article 25 - Data protection by design and by default',
|
||
'Article 32 - Security of processing',
|
||
'Article 35 - Data protection impact assessment'
|
||
]
|
||
},
|
||
ccpa: {
|
||
name: 'CCPA (California Consumer Privacy Act)',
|
||
description: 'California law providing privacy rights to consumers',
|
||
keyArticles: [
|
||
'Right to Know what personal information is collected',
|
||
'Right to Delete personal information',
|
||
'Right to Opt-Out of sale of personal information',
|
||
'Right to Non-Discrimination for exercising CCPA rights',
|
||
'Notice at Collection requirements'
|
||
]
|
||
},
|
||
hipaa: {
|
||
name: 'HIPAA (Health Insurance Portability and Accountability Act)',
|
||
description: 'US regulation protecting health information',
|
||
keyArticles: [
|
||
'Privacy Rule - Protected Health Information (PHI) safeguards',
|
||
'Security Rule - Administrative, physical, technical safeguards',
|
||
'Breach Notification Rule - Incident reporting requirements',
|
||
'Minimum Necessary Standard - Access limitation'
|
||
]
|
||
},
|
||
ecoa: {
|
||
name: 'ECOA (Equal Credit Opportunity Act)',
|
||
description: 'US law prohibiting discrimination in credit decisions',
|
||
keyArticles: [
|
||
'Prohibition of discrimination based on protected characteristics',
|
||
'Adverse action notice requirements',
|
||
'Record retention requirements',
|
||
'Monitoring and reporting obligations'
|
||
]
|
||
}
|
||
};
|
||
|
||
const info = regulationInfo[regulation] || { name: regulation.toUpperCase(), description: '', keyArticles: [] };
|
||
|
||
return (
|
||
<div key={regulation} className={`rounded-xl border-2 overflow-hidden ${
|
||
data.status === 'COMPLIANT' ? 'border-green-300 bg-gradient-to-br from-green-50 to-emerald-50' :
|
||
data.status === 'PARTIAL' ? 'border-yellow-300 bg-gradient-to-br from-yellow-50 to-orange-50' :
|
||
data.status === 'NOT_APPLICABLE' ? 'border-slate-300 bg-gradient-to-br from-slate-50 to-slate-100' :
|
||
'border-red-300 bg-gradient-to-br from-red-50 to-rose-50'
|
||
}`}>
|
||
{/* Header */}
|
||
<div className={`p-4 border-b-2 ${
|
||
data.status === 'COMPLIANT' ? 'bg-green-100 border-green-200' :
|
||
data.status === 'PARTIAL' ? 'bg-yellow-100 border-yellow-200' :
|
||
data.status === 'NOT_APPLICABLE' ? 'bg-slate-100 border-slate-200' :
|
||
'bg-red-100 border-red-200'
|
||
}`}>
|
||
<div className="flex items-center justify-between">
|
||
<div>
|
||
<div className="text-sm font-black text-slate-800 uppercase tracking-wide">
|
||
{info.name}
|
||
</div>
|
||
{info.description && (
|
||
<div className="text-xs text-slate-600 mt-1">{info.description}</div>
|
||
)}
|
||
</div>
|
||
<span className={`px-4 py-2 rounded-full text-xs font-black shadow-sm ${
|
||
data.status === 'COMPLIANT' ? 'bg-green-600 text-white' :
|
||
data.status === 'PARTIAL' ? 'bg-yellow-600 text-white' :
|
||
data.status === 'NOT_APPLICABLE' ? 'bg-slate-600 text-white' :
|
||
'bg-red-600 text-white'
|
||
}`}>
|
||
{data.status === 'NOT_APPLICABLE' ? 'N/A' : data.status}
|
||
</span>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Content */}
|
||
<div className="p-4">
|
||
{data.applicable === false ? (
|
||
<div className="text-sm text-slate-600 italic">
|
||
This regulation does not appear to apply to your dataset based on detected data types.
|
||
</div>
|
||
) : (
|
||
<div className="space-y-3">
|
||
{/* Score */}
|
||
{data.score !== undefined && (
|
||
<div className="flex items-center gap-3">
|
||
<div className="text-xs font-semibold text-slate-600">Compliance Score:</div>
|
||
<div className="flex-1 h-3 bg-slate-200 rounded-full overflow-hidden">
|
||
<div
|
||
className={`h-full transition-all ${
|
||
data.score > 0.7 ? 'bg-green-500' :
|
||
data.score > 0.4 ? 'bg-yellow-500' :
|
||
'bg-red-500'
|
||
}`}
|
||
style={{ width: `${data.score * 100}%` }}
|
||
></div>
|
||
</div>
|
||
<div className="text-sm font-bold text-slate-800">
|
||
{(data.score * 100).toFixed(0)}%
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Compliant Checks */}
|
||
{data.compliant_checks && data.compliant_checks.length > 0 && (
|
||
<div>
|
||
<div className="text-xs font-semibold text-green-700 mb-2">✓ Compliant Areas:</div>
|
||
<div className="flex flex-wrap gap-2">
|
||
{data.compliant_checks.map((check: string, idx: number) => (
|
||
<span key={idx} className="px-2 py-1 bg-green-100 text-green-800 text-xs rounded border border-green-200">
|
||
{check.replace(/_/g, ' ')}
|
||
</span>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Non-Compliant Checks */}
|
||
{data.non_compliant_checks && data.non_compliant_checks.length > 0 && (
|
||
<div>
|
||
<div className="text-xs font-semibold text-red-700 mb-2">⚠️ Non-Compliant Areas:</div>
|
||
<div className="flex flex-wrap gap-2">
|
||
{data.non_compliant_checks.map((check: string, idx: number) => (
|
||
<span key={idx} className="px-2 py-1 bg-red-100 text-red-800 text-xs rounded border border-red-200">
|
||
{check.replace(/_/g, ' ')}
|
||
</span>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Key Articles/Requirements */}
|
||
{info.keyArticles.length > 0 && (
|
||
<details className="mt-3">
|
||
<summary className="text-xs font-semibold text-blue-700 cursor-pointer hover:text-blue-900">
|
||
📖 View Key Requirements & Articles
|
||
</summary>
|
||
<div className="mt-2 pl-4 space-y-2">
|
||
{info.keyArticles.map((article, idx) => (
|
||
<div key={idx} className="flex items-start gap-2">
|
||
<span className="text-blue-600 text-xs mt-0.5">•</span>
|
||
<span className="text-xs text-slate-700">{article}</span>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</details>
|
||
)}
|
||
|
||
{/* Bias Score for ECOA */}
|
||
{regulation === 'ecoa' && data.bias_score !== undefined && (
|
||
<div className="mt-3 p-3 bg-white rounded border border-slate-200">
|
||
<div className="text-xs font-semibold text-slate-600 mb-1">Bias Score (Discrimination Risk):</div>
|
||
<div className="flex items-center gap-3">
|
||
<div className="flex-1 h-3 bg-slate-200 rounded-full overflow-hidden">
|
||
<div
|
||
className={`h-full transition-all ${
|
||
data.bias_score < 0.3 ? 'bg-green-500' :
|
||
data.bias_score < 0.5 ? 'bg-yellow-500' :
|
||
'bg-red-500'
|
||
}`}
|
||
style={{ width: `${data.bias_score * 100}%` }}
|
||
></div>
|
||
</div>
|
||
<div className={`text-sm font-bold ${
|
||
data.bias_score < 0.3 ? 'text-green-600' :
|
||
data.bias_score < 0.5 ? 'text-yellow-600' :
|
||
'text-red-600'
|
||
}`}>
|
||
{(data.bias_score * 100).toFixed(1)}%
|
||
</div>
|
||
</div>
|
||
<div className="text-xs text-slate-600 mt-1">
|
||
{data.bias_score < 0.3 ? 'Low discrimination risk' :
|
||
data.bias_score < 0.5 ? 'Moderate discrimination risk - monitor closely' :
|
||
'High discrimination risk - immediate remediation required'}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
|
||
{/* Compliance Recommendations */}
|
||
{analyzeResult.risk_assessment.compliance_risks.recommendations &&
|
||
analyzeResult.risk_assessment.compliance_risks.recommendations.length > 0 && (
|
||
<div className="mt-4 p-4 bg-blue-50 rounded-lg border border-blue-200">
|
||
<div className="text-sm font-bold text-blue-900 mb-3">📌 Compliance Recommendations</div>
|
||
<div className="space-y-2">
|
||
{analyzeResult.risk_assessment.compliance_risks.recommendations.map((rec: any, idx: number) => (
|
||
<div key={idx} className="flex items-start gap-3 p-3 bg-white rounded border border-blue-200">
|
||
<span className={`px-2 py-0.5 text-xs font-bold rounded ${
|
||
rec.priority === 'CRITICAL' ? 'bg-red-600 text-white' :
|
||
rec.priority === 'HIGH' ? 'bg-orange-600 text-white' :
|
||
rec.priority === 'MEDIUM' ? 'bg-yellow-600 text-white' :
|
||
'bg-blue-600 text-white'
|
||
}`}>
|
||
{rec.priority}
|
||
</span>
|
||
<div className="flex-1">
|
||
<div className="text-sm font-semibold text-slate-800">{rec.recommendation}</div>
|
||
{rec.rationale && (
|
||
<div className="text-xs text-slate-600 mt-1">{rec.rationale}</div>
|
||
)}
|
||
</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
)}
|
||
</div>
|
||
) : (
|
||
<div className="text-center py-12 bg-slate-50 rounded-xl border-2 border-dashed border-slate-300">
|
||
<span className="text-4xl mb-3 block">🔒</span>
|
||
<p className="text-slate-600 mb-2">No risk analysis results yet</p>
|
||
<p className="text-sm text-slate-500">Upload a dataset and click "Analyze" to see comprehensive risk assessment</p>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
case "bias-risk-mitigation":
|
||
return (
|
||
<div className="space-y-6">
|
||
<div>
|
||
<h2 className="text-2xl font-bold mb-2">PII Detection & Anonymization Strategy</h2>
|
||
<p className="text-sm text-slate-600">Review detected risky features and choose how to anonymize them</p>
|
||
</div>
|
||
|
||
{piiDetectionResult ? (
|
||
<div className="space-y-6">
|
||
{/* File Info Banner */}
|
||
<div className="p-3 bg-slate-100 border border-slate-300 rounded-lg text-sm">
|
||
<div className="flex items-center gap-3">
|
||
<span className="font-semibold text-slate-700">File:</span>
|
||
<code className="px-2 py-1 bg-white rounded border border-slate-200">{piiDetectionResult.filename}</code>
|
||
<span className="px-2 py-0.5 bg-blue-100 text-blue-800 text-xs font-semibold rounded">
|
||
{piiDetectionResult.file_type.toUpperCase()}
|
||
</span>
|
||
<span className="text-slate-600">
|
||
{piiDetectionResult.dataset_info.rows} rows × {piiDetectionResult.dataset_info.columns} columns
|
||
</span>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Summary Card */}
|
||
<div className="p-6 bg-gradient-to-br from-blue-50 to-indigo-50 rounded-xl border-2 border-blue-200">
|
||
<div className="grid grid-cols-1 md:grid-cols-4 gap-4">
|
||
<div>
|
||
<div className="text-xs font-semibold text-blue-700 mb-1">TOTAL COLUMNS SCANNED</div>
|
||
<div className="text-3xl font-bold text-blue-900">{piiDetectionResult.summary.total_columns_scanned}</div>
|
||
</div>
|
||
<div>
|
||
<div className="text-xs font-semibold text-red-700 mb-1">HIGH RISK</div>
|
||
<div className="text-3xl font-bold text-red-900">{piiDetectionResult.summary.high_risk_count}</div>
|
||
<div className="text-xs text-slate-600">Must remove</div>
|
||
</div>
|
||
<div>
|
||
<div className="text-xs font-semibold text-orange-700 mb-1">MEDIUM RISK</div>
|
||
<div className="text-3xl font-bold text-orange-900">{piiDetectionResult.summary.medium_risk_count}</div>
|
||
<div className="text-xs text-slate-600">Hash recommended</div>
|
||
</div>
|
||
<div>
|
||
<div className="text-xs font-semibold text-yellow-700 mb-1">LOW RISK</div>
|
||
<div className="text-3xl font-bold text-yellow-900">{piiDetectionResult.summary.low_risk_count}</div>
|
||
<div className="text-xs text-slate-600">Mask/generalize</div>
|
||
</div>
|
||
</div>
|
||
<div className="mt-4 p-3 bg-white/70 rounded-lg text-sm text-slate-700">
|
||
{piiDetectionResult.message}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Risky Features List */}
|
||
<div className="space-y-3">
|
||
{piiDetectionResult.risky_features.map((feature, idx) => {
|
||
const riskColor =
|
||
feature.risk_level === 'HIGH' ? 'red' :
|
||
feature.risk_level === 'MEDIUM' ? 'orange' :
|
||
feature.risk_level === 'LOW' ? 'yellow' : 'gray';
|
||
|
||
const bgColor =
|
||
feature.risk_level === 'HIGH' ? 'bg-red-50 border-red-300' :
|
||
feature.risk_level === 'MEDIUM' ? 'bg-orange-50 border-orange-300' :
|
||
feature.risk_level === 'LOW' ? 'bg-yellow-50 border-yellow-300' : 'bg-gray-50 border-gray-300';
|
||
|
||
return (
|
||
<div key={idx} className={`p-5 rounded-xl border-2 ${bgColor}`}>
|
||
{/* Header */}
|
||
<div className="flex items-start justify-between mb-3">
|
||
<div className="flex-1">
|
||
<div className="flex items-center gap-3 mb-2">
|
||
<span className={`px-3 py-1 bg-${riskColor}-600 text-white text-xs font-bold rounded-full`}>
|
||
{feature.risk_level} RISK
|
||
</span>
|
||
<span className="font-mono font-bold text-lg text-slate-800">{feature.column}</span>
|
||
</div>
|
||
<div className="text-sm text-slate-700">
|
||
<span className="font-semibold">Detected:</span> {feature.entity_type}
|
||
<span className="mx-2">•</span>
|
||
<span className="font-semibold">Confidence:</span> {(feature.confidence * 100).toFixed(1)}%
|
||
<span className="mx-2">•</span>
|
||
<span className="font-semibold">Occurrences:</span> {feature.detection_count}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Explanation */}
|
||
<div className="p-4 bg-white rounded-lg mb-4">
|
||
<div className="text-xs font-semibold text-slate-600 mb-2">WHY IS THIS RISKY?</div>
|
||
<p className="text-sm text-slate-700 leading-relaxed">{feature.explanation}</p>
|
||
<div className="mt-3 text-xs text-slate-600">
|
||
<strong>GDPR Reference:</strong> {feature.gdpr_article}
|
||
</div>
|
||
</div>
|
||
|
||
{/* Sample Values */}
|
||
{feature.sample_values.length > 0 && (
|
||
<div className="p-4 bg-white rounded-lg mb-4">
|
||
<div className="text-xs font-semibold text-slate-600 mb-2">SAMPLE VALUES</div>
|
||
<div className="flex gap-2 flex-wrap">
|
||
{feature.sample_values.map((val, i) => (
|
||
<code key={i} className="px-2 py-1 bg-slate-100 rounded text-xs text-slate-800 border border-slate-200">
|
||
{val}
|
||
</code>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{/* Recommended Strategy */}
|
||
<div className="p-4 bg-white rounded-lg border-2 border-green-300">
|
||
<div className="flex items-start gap-3">
|
||
<div className="flex-1">
|
||
<div className="text-xs font-semibold text-green-700 mb-1">✓ RECOMMENDED STRATEGY</div>
|
||
<div className="font-bold text-lg text-slate-900">{feature.recommended_strategy}</div>
|
||
<div className="text-sm text-slate-700 mt-1">{feature.strategy_description}</div>
|
||
<div className="mt-2 flex gap-4 text-xs text-slate-600">
|
||
<div>
|
||
<strong>Reversible:</strong> {feature.reversible ? 'Yes' : 'No'}
|
||
</div>
|
||
<div>
|
||
<strong>Use Cases:</strong> {feature.use_cases.join(', ')}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<button
|
||
className="px-4 py-2 bg-green-600 text-white text-sm font-semibold rounded-lg hover:bg-green-500"
|
||
onClick={() => alert(`Apply ${feature.recommended_strategy} to ${feature.column}`)}
|
||
>
|
||
Apply
|
||
</button>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Alternative Strategies */}
|
||
<details className="mt-3">
|
||
<summary className="text-xs font-semibold text-slate-600 cursor-pointer hover:text-slate-800">
|
||
View Alternative Strategies
|
||
</summary>
|
||
<div className="mt-2 grid grid-cols-1 md:grid-cols-2 gap-2">
|
||
{Object.entries(piiDetectionResult.available_strategies)
|
||
.filter(([strategy]) => strategy !== feature.recommended_strategy)
|
||
.map(([strategy, details]: [string, any]) => (
|
||
<div key={strategy} className="p-3 bg-white rounded border border-slate-200 hover:border-slate-400">
|
||
<div className="font-semibold text-sm text-slate-800">{strategy}</div>
|
||
<div className="text-xs text-slate-600 mt-1">{details.description}</div>
|
||
<div className="mt-2 flex items-center justify-between">
|
||
<span className={`px-2 py-0.5 text-xs rounded ${
|
||
details.risk_level === 'HIGH' ? 'bg-red-100 text-red-800' :
|
||
details.risk_level === 'MEDIUM' ? 'bg-orange-100 text-orange-800' :
|
||
'bg-yellow-100 text-yellow-800'
|
||
}`}>
|
||
{details.risk_level} Risk
|
||
</span>
|
||
<button
|
||
className="px-2 py-1 bg-blue-600 text-white text-xs rounded hover:bg-blue-500"
|
||
onClick={() => alert(`Apply ${strategy} to ${feature.column}`)}
|
||
>
|
||
Use This
|
||
</button>
|
||
</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</details>
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
|
||
{/* Apply All Button */}
|
||
<div className="sticky bottom-0 p-4 bg-gradient-to-t from-white via-white to-transparent">
|
||
<button
|
||
className="w-full py-3 bg-green-600 text-white font-bold rounded-lg hover:bg-green-500 shadow-lg"
|
||
onClick={() => alert('Apply all recommended strategies and clean dataset')}
|
||
>
|
||
✓ Apply All Recommended Strategies & Clean Dataset
|
||
</button>
|
||
</div>
|
||
</div>
|
||
) : (
|
||
<div className="text-center py-12">
|
||
<div className="text-6xl mb-4">🔍</div>
|
||
<p className="text-slate-600 mb-2">No PII detection results yet</p>
|
||
<p className="text-sm text-slate-500">Upload a dataset and click "🔍 Detect PII" to scan for risky features</p>
|
||
</div>
|
||
)}
|
||
</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>
|
||
);
|
||
} |