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import { Download, Zap, RefreshCw, FileText, Layers, AlertTriangle, Terminal, CheckCircle2, Play, AlertCircle } from 'lucide-react';
import { Slider } from '../components/Slider';
import { BackButton } from '../components/BackButton';
import { cn } from '../lib/utils';
import { saveAs } from 'file-saver';
import { jsPDF } from 'jspdf';
import { Document, Packer, Paragraph, TextRun } from 'docx';
import { endpoints, getAuthHeaders } from '../lib/api';
const LEVEL_DESCRIPTIONS = [
{ title: "Level 0: Pass-Through", desc: "No redaction applied. Useful for formatting or conversion testing.", badge: "Neutral", color: "text-slate-400" },
{ title: "Level 1: Ultra-Fast Regex Rules", desc: "Instantly masks structured PII: Emails, Phone numbers, Dates, Credit Cards, Aadhaar & PAN numbers.", badge: "Regex Fast", color: "text-blue-400" },
{ title: "Level 2: Lightweight AI NER", desc: "Uses spaCy statistical NER model to identify names, locations, and organizations with low latency.", badge: "spaCy Small", color: "text-indigo-400" },
{ title: "Level 3: Enhanced AI NER", desc: "High-precision multi-word entity detection using spaCy medium statistical NLP pipeline.", badge: "spaCy Medium", color: "text-blue-400" },
{ title: "Level 4: Advanced Domain NER", desc: "Broad semantic masking using best-in-class spaCy domain-specific pipeline.", badge: "spaCy Best", color: "text-purple-400" },
{ title: "Level 5: Deep Learning Transformer", desc: "State-of-the-art neural network (BERT / RoBERTa) fine-tuned on complex Indian & Global PII datasets.", badge: "BERT / RoBERTa AI", color: "text-red-400 font-bold" },
];
export function TextRedaction() {
const [inputText, setInputText] = useState('');
const [outputText, setOutputText] = useState('');
const [redactionLevel, setRedactionLevel] = useState([2]);
const [mode, setMode] = useState<'mask' | 'synthetic'>('mask');
const [isLoading, setIsLoading] = useState(false);
const [showDownloadOptions, setShowDownloadOptions] = useState(false);
const [showFeedbackModal, setShowFeedbackModal] = useState(false);
const [feedbackMode, setFeedbackMode] = useState<'initial' | 'correction'>('initial');
const [missedInput, setMissedInput] = useState('');
const [isSubmittingFeedback, setIsSubmittingFeedback] = useState(false);
const [isRetraining, setIsRetraining] = useState(false);
const currentLevel = redactionLevel[0];
const levelInfo = LEVEL_DESCRIPTIONS[currentLevel] || LEVEL_DESCRIPTIONS[0];
const handleFeedback = async (satisfaction: string) => {
if (satisfaction === 'yes') {
try {
await fetch(endpoints.feedback, {
method: 'POST',
headers: getAuthHeaders({ 'Content-Type': 'application/json' }),
body: JSON.stringify({
text: inputText,
redacted_text: outputText,
satisfaction: 'yes',
redaction_level: currentLevel,
}),
});
} catch (e) {
console.error(e);
}
alert('Thank you! Your positive feedback reinforces our model accuracy.');
setShowFeedbackModal(false);
} else {
setFeedbackMode('correction');
}
};
const handleCorrectionSubmit = async () => {
if (isSubmittingFeedback) return;
setIsSubmittingFeedback(true);
try {
const missedList = missedInput.split(',').map((s) => s.trim()).filter(Boolean);
await fetch(endpoints.feedback, {
method: 'POST',
headers: getAuthHeaders({ 'Content-Type': 'application/json' }),
body: JSON.stringify({
text: inputText,
redacted_text: outputText,
satisfaction: 'no',
missed_entities: missedList,
corrected_text: missedInput,
redaction_level: currentLevel,
}),
});
alert('🎯 Correction ingested into Active Learning loop! Our AI training dataset has been automatically updated.');
} catch (e) {
console.error(e);
alert('Error submitting feedback to server.');
} finally {
setIsSubmittingFeedback(false);
setShowFeedbackModal(false);
setFeedbackMode('initial');
setMissedInput('');
}
};
const handleRetrain = async () => {
if (isRetraining) return;
setIsRetraining(true);
try {
const res = await fetch(endpoints.triggerRetrain, {
method: 'POST',
headers: getAuthHeaders(),
});
const data = await res.json();
alert(`🤖 Active Learning Retrain Triggered:\n${data.message}`);
} catch (e) {
console.error(e);
alert('Failed to connect to retrain endpoint.');
} finally {
setIsRetraining(false);
}
};
const handleRedact = async () => {
if (isLoading) return;
if (!inputText.trim()) {
alert('Please enter some text to redact first.');
return;
}
setIsLoading(true);
try {
const response = await fetch(endpoints.redactText, {
method: 'POST',
headers: getAuthHeaders({ 'Content-Type': 'application/json' }),
body: JSON.stringify({
text: inputText,
redaction_level: currentLevel,
mode: mode,
}),
});
if (!response.ok) {
throw new Error('Failed to redact text from server.');
}
const data = await response.json();
setOutputText(data.redacted_text || 'Error: No redacted text returned');
} catch (error) {
console.error(error);
setOutputText('An error occurred while communicating with the RE-DACT AI Engine. Please check that backend server is running.');
} finally {
setIsLoading(false);
}
};
const handleClear = () => {
setInputText('');
setOutputText('');
setRedactionLevel([2]);
setShowDownloadOptions(false);
setShowFeedbackModal(false);
};
const handleDownload = (format: string) => {
if (format === 'txt') {
const blob = new Blob([outputText], { type: 'text/plain;charset=utf-8' });
saveAs(blob, `redactx_sanitized_text.txt`);
} else if (format === 'pdf') {
const doc = new jsPDF();
const splitText = doc.splitTextToSize(outputText, 180);
doc.text(splitText, 15, 15);
doc.save(`redactx_sanitized_text.pdf`);
} else if (format === 'docx') {
const docx = new Document({
sections: [
{
properties: {},
children: outputText.split('\n').map((line) => new Paragraph({ children: [new TextRun(line)] })),
},
],
});
Packer.toBlob(docx).then((blob) => {
saveAs(blob, `redactx_sanitized_text.docx`);
});
}
setShowDownloadOptions(false);
};
return (
<main className="pt-20 px-4 sm:px-6 pb-12 max-w-[1600px] mx-auto font-sans text-slate-200">
{/* Top SOC Critical Alert Banner */}
<div className="bg-red-700 text-white px-4 py-3 rounded-sm flex flex-wrap items-center justify-between text-xs font-mono font-bold tracking-wider uppercase mb-6 shadow-xl border border-red-600">
<div className="flex items-center gap-3">
<span className="p-1 bg-red-900/80 rounded-sm border border-red-400 text-red-100 flex items-center justify-center">
<AlertTriangle className="w-4 h-4 text-white animate-pulse" />
</span>
<span className="text-sm font-black tracking-widest text-white">TEXT SANITIZATION MODULE</span>
</div>
<div className="flex items-center gap-4 sm:gap-6 text-xs">
<span className="bg-red-950/90 px-2.5 py-1 rounded-sm border border-red-500/50 text-white">
Escalation: <strong className="text-red-200">Level {currentLevel}</strong>
</span>
<button
onClick={handleRetrain}
disabled={isRetraining}
className="px-2.5 py-1 bg-red-900 hover:bg-red-950 text-red-100 border border-red-500/50 rounded-sm transition-colors flex items-center gap-1.5 disabled:opacity-50 font-bold"
title="Trigger model retrain on collected feedback"
>
<RefreshCw className={cn("w-3.5 h-3.5", isRetraining && "animate-spin")} />
<span>{isRetraining ? 'Retraining...' : 'Retrain AI'}</span>
</button>
</div>
</div>
<div className="mb-6 flex items-center justify-between border-b border-slate-800 pb-4">
<div className="flex items-center gap-3">
<BackButton />
<div>
<h1 className="text-xl font-bold text-white flex items-center gap-2 uppercase tracking-wide font-mono">
<Terminal className="w-5 h-5 text-red-500" />
Text PII & Financial Sanitizer
</h1>
<p className="text-xs text-slate-400 mt-0.5">
Obfuscate sensitive identifiers, Indian & Global names, organizations, bill prices, orders, and confidential markers.
</p>
</div>
</div>
</div>
{/* Main Studio Container */}
<div className="bg-slate-900/90 border border-slate-800 p-6 rounded-sm space-y-6 shadow-xl">
{/* Mode Selection and Sample Loaders */}
<div className="flex flex-col md:flex-row md:items-center justify-between gap-4 pb-4 border-b border-slate-800 font-mono">
<div className="flex items-center gap-2">
<span className="text-xs font-bold uppercase tracking-wider text-slate-400 mr-2">Mode:</span>
<button
onClick={() => setMode('mask')}
className={cn(
"px-3 py-1.5 text-xs font-bold rounded-sm border transition-all",
mode === 'mask'
? "bg-red-600 border-red-500 text-white shadow-sm"
: "bg-slate-950 border-slate-800 text-slate-400 hover:text-white"
)}
>
Masking Mode [xxxx]
</button>
<button
onClick={() => setMode('synthetic')}
className={cn(
"px-3 py-1.5 text-xs font-bold rounded-sm border transition-all flex items-center gap-1.5",
mode === 'synthetic'
? "bg-blue-600 border-blue-500 text-white shadow-sm"
: "bg-slate-950 border-slate-800 text-slate-400 hover:text-white"
)}
>
<Layers className="w-3.5 h-3.5" />
Synthetic Name Generation
</button>
</div>
</div>
{/* Redaction Slider Section */}
<div className="p-4 rounded-sm bg-slate-950 border border-slate-800 space-y-4 font-mono">
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-2">
<div className="flex items-center gap-2">
<span className="text-xs font-bold text-white uppercase tracking-wider">
Redaction Scale
</span>
<span className="text-[11px] px-2 py-0.5 rounded-sm bg-slate-900 border border-slate-800 text-red-400 font-bold">
{levelInfo.badge}
</span>
</div>
<span className="text-xs font-bold text-slate-400">
Level {currentLevel} of 5
</span>
</div>
<Slider value={redactionLevel} onValueChange={setRedactionLevel} className="w-full" />
<div className="p-3 rounded-sm bg-slate-900 border border-slate-800 flex items-start gap-3">
<Zap className={cn("w-4 h-4 shrink-0 mt-0.5", levelInfo.color)} />
<div>
<h4 className={cn("text-xs font-bold", levelInfo.color)}>{levelInfo.title}</h4>
<p className="text-xs text-slate-400 mt-0.5 leading-relaxed font-sans">{levelInfo.desc}</p>
</div>
</div>
</div>
{/* Input and Output Split Grid */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 font-mono">
<div className="space-y-2">
<div className="flex items-center justify-between">
<label className="text-xs font-bold uppercase tracking-wider text-slate-300">
Input Text
</label>
<span className="text-xs text-slate-500">{inputText.length} chars</span>
</div>
<textarea
value={inputText}
onChange={(e) => setInputText(e.target.value)}
className="w-full h-64 p-4 rounded-sm border bg-slate-950 border-slate-800 focus:outline-none focus:border-red-500 transition-all text-xs leading-relaxed text-slate-200 resize-none shadow-inner"
placeholder="Paste confidential documents, emails, or reports here..."
/>
</div>
<div className="space-y-2 relative">
<div className="flex items-center justify-between">
<label className="text-xs font-bold uppercase tracking-wider text-slate-300 flex items-center gap-1.5">
<CheckCircle2 className="w-4 h-4 text-emerald-400" /> Redacted Output
</label>
<span className="text-xs text-slate-500">{outputText.length} chars</span>
</div>
<textarea
value={outputText}
readOnly
className="w-full h-64 p-4 rounded-sm border bg-slate-950 border-slate-800 text-xs leading-relaxed text-emerald-400 resize-none focus:outline-none shadow-inner"
placeholder="Sanitized text will appear here once redacted..."
/>
{outputText && (
<div className="absolute bottom-4 right-4 z-20 font-sans">
<div className="relative">
<button
onClick={() => setShowDownloadOptions(!showDownloadOptions)}
className="flex items-center gap-1.5 px-3 py-1.5 bg-red-600 hover:bg-red-700 text-white text-xs font-bold rounded-sm shadow-md transition-colors font-mono uppercase tracking-wider"
>
<Download className="w-3.5 h-3.5" /> Export
</button>
{showDownloadOptions && (
<div className="absolute right-0 bottom-full mb-2 w-36 rounded-sm bg-slate-900 border border-slate-800 shadow-xl py-1 z-30 font-mono">
<button
onClick={() => handleDownload('txt')}
className="w-full px-3 py-1.5 text-left text-xs font-medium text-slate-300 hover:bg-slate-800 flex items-center gap-2"
>
<FileText className="w-3.5 h-3.5 text-blue-400" /> Plain Text (.txt)
</button>
<button
onClick={() => handleDownload('pdf')}
className="w-full px-3 py-1.5 text-left text-xs font-medium text-slate-300 hover:bg-slate-800 flex items-center gap-2"
>
<FileText className="w-3.5 h-3.5 text-red-400" /> PDF (.pdf)
</button>
<button
onClick={() => handleDownload('docx')}
className="w-full px-3 py-1.5 text-left text-xs font-medium text-slate-300 hover:bg-slate-800 flex items-center gap-2"
>
<FileText className="w-3.5 h-3.5 text-blue-500" /> Word (.docx)
</button>
</div>
)}
</div>
</div>
)}
</div>
</div>
{/* Action Controls */}
<div className="flex items-center justify-end gap-3 pt-4 border-t border-slate-800 font-mono">
{outputText && (
<button
onClick={() => setShowFeedbackModal(true)}
className="px-4 py-2 rounded-sm bg-blue-600/20 hover:bg-blue-600/30 border border-blue-500/50 text-blue-300 text-xs font-bold transition-all flex items-center gap-1.5 uppercase tracking-wider"
>
<RefreshCw className="w-3.5 h-3.5" />
<span>Provide Feedback</span>
</button>
)}
<button
onClick={handleClear}
disabled={!inputText && !outputText}
className="px-4 py-2 rounded-sm border border-slate-800 text-slate-300 hover:bg-slate-800 text-xs font-semibold transition-all disabled:opacity-50 uppercase tracking-wider"
>
Clear
</button>
<button
onClick={handleRedact}
disabled={isLoading || !inputText.trim()}
className="px-6 py-2.5 rounded-sm bg-red-600 hover:bg-red-700 text-white text-xs font-bold transition-all disabled:opacity-50 flex items-center gap-2 shadow-lg shadow-red-600/20 uppercase tracking-wider"
>
{isLoading ? (
<>
<RefreshCw className="w-3.5 h-3.5 animate-spin" />
<span>Processing...</span>
</>
) : (
<>
<Play className="w-3.5 h-3.5 fill-current" />
<span>Run</span>
</>
)}
</button>
</div>
</div>
{/* Active Learning Feedback Modal */}
{showFeedbackModal && (
<div className="fixed inset-0 bg-black/80 backdrop-blur-xs flex items-center justify-center p-4 z-50 font-sans animate-in fade-in duration-200">
<div className="bg-slate-900 border border-slate-800 rounded-sm p-6 max-w-md w-full space-y-4 shadow-2xl">
{feedbackMode === 'initial' ? (
<>
<div className="flex items-center gap-2 text-red-400 font-bold text-sm font-mono uppercase tracking-wide">
<AlertTriangle className="w-4 h-4" />
<h3>Active Learning Verification</h3>
</div>
<p className="text-xs text-slate-300 leading-relaxed">
Did the AI engine correctly identify and redact all sensitive PII markers according to Level {currentLevel}?
</p>
<div className="flex justify-end gap-2 pt-2 border-t border-slate-800 font-mono">
<button
onClick={() => handleFeedback('no')}
className="px-4 py-2 rounded-sm bg-slate-950 hover:bg-slate-800 border border-slate-800 text-red-400 text-xs font-semibold transition-colors"
>
No (Report Missed)
</button>
<button
onClick={() => handleFeedback('yes')}
className="px-4 py-2 rounded-sm bg-red-600 hover:bg-red-700 text-white text-xs font-bold transition-colors"
>
Yes (Confirm Accuracy)
</button>
</div>
</>
) : (
<>
<div className="flex items-center gap-2 text-orange-400 font-bold text-sm font-mono uppercase tracking-wide">
<AlertCircle className="w-4 h-4" />
<h3>Report Missed Entities</h3>
</div>
<p className="text-xs text-slate-300 leading-relaxed">
Enter any missed sensitive words or identifiers separated by commas. These will be ingested into our O(1) active learning loop for immediate model retraining.
</p>
<textarea
value={missedInput}
onChange={(e) => setMissedInput(e.target.value)}
placeholder="e.g., Rajesh Sharma, Reliance Industries, #INV-2023-8899"
className="w-full h-24 p-3 rounded-sm bg-slate-950 border border-slate-800 font-mono text-xs text-slate-200 focus:outline-none focus:border-red-500 resize-none"
/>
<div className="flex justify-end gap-2 pt-2 border-t border-slate-800 font-mono">
<button
onClick={() => {
setShowFeedbackModal(false);
setFeedbackMode('initial');
}}
className="px-4 py-2 rounded-sm bg-slate-950 hover:bg-slate-800 border border-slate-800 text-slate-400 text-xs font-semibold transition-colors"
>
Cancel
</button>
<button
onClick={handleCorrectionSubmit}
disabled={isSubmittingFeedback || !missedInput.trim()}
className="px-4 py-2 rounded-sm bg-red-600 hover:bg-red-700 text-white text-xs font-bold transition-colors disabled:opacity-50 flex items-center gap-1.5"
>
{isSubmittingFeedback ? <RefreshCw className="w-3.5 h-3.5 animate-spin" /> : null}
<span>Submit to SOC Loop</span>
</button>
</div>
</>
)}
</div>
</div>
)}
</main>
);
}
|