anupalan-karta / js /compliance.js
anktechsol's picture
Create js/compliance.js
336f16a verified
// Import Hugging Face pipeline helpers (for browser environments supporting ES modules)
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3';
// Lazy-load models
const getSummariser = () => pipeline('summarization', 'facebook/bart-large-cnn');
const getPrivacyGuard = () => pipeline('text-classification', 'metricspace/GDPR_Input_Detection_and_Anonymization_0.5B');
const getLegalEncoder = () => pipeline('feature-extraction', 'nlpaueb/legal-bert-base-uncased', { quantized: true });
const summariserP = getSummariser();
const privacyGuardP = getPrivacyGuard();
const legalEncoderP = getLegalEncoder();
// Compliance Assessment Logic
class ComplianceAssessment {
constructor() {
this.assessmentData = {
gdpr: {
name: "GDPR Compliance",
questions: [
{ id: 1, question: "Do you have a privacy policy clearly stating data collection purposes?", weight: 5 },
{ id: 2, question: "Have you implemented data subject rights (access, rectification, erasure)?", weight: 5 },
{ id: 3, question: "Do you have procedures for data breach notification within 72 hours?", weight: 4 },
{ id: 4, question: "Have you conducted Data Protection Impact Assessments (DPIAs)?", weight: 4 },
{ id: 5, question: "Do you have documented consent mechanisms for data processing?", weight: 3 }
]
},
euAiAct: {
name: "EU AI Act Compliance",
questions: [
{ id: 1, question: "Have you classified your AI system according to risk levels?", weight: 5 },
{ id: 2, question: "Do you have transparency requirements implemented for AI decisions?", weight: 4 },
{ id: 3, question: "Have you established human oversight mechanisms?", weight: 4 },
{ id: 4, question: "Do you have bias testing and mitigation procedures?", weight: 4 },
{ id: 5, question: "Have you implemented AI system documentation and logging?", weight: 3 }
]
},
iso27001: {
name: "ISO 27001 Compliance",
questions: [
{ id: 1, question: "Do you have documented information security policies?", weight: 5 },
{ id: 2, question: "Have you conducted comprehensive risk assessments?", weight: 5 },
{ id: 3, question: "Do you have incident response procedures in place?", weight: 4 },
{ id: 4, question: "Have you implemented access control measures?", weight: 4 },
{ id: 5, question: "Do you have a continuous improvement framework?", weight: 3 }
]
}
};
}
generateSampleAssessment() {
const sampleResponses = {};
Object.keys(this.assessmentData).forEach(standard => {
sampleResponses[standard] = {};
this.assessmentData[standard].questions.forEach(q => {
sampleResponses[standard][q.id] = Math.random() > 0.3 ? 'yes' : 'no';
});
});
return sampleResponses;
}
calculateScore(responses, standard) {
const questions = this.assessmentData[standard].questions;
let totalScore = 0;
let maxScore = 0;
questions.forEach(q => {
maxScore += q.weight;
if (responses[standard] && responses[standard][q.id] === 'yes') {
totalScore += q.weight;
}
});
return {
score: totalScore,
maxScore: maxScore,
percentage: Math.round((totalScore / maxScore) * 100)
};
}
generateGapAnalysis(responses, standard) {
const questions = this.assessmentData[standard].questions;
const gaps = [];
questions.forEach(q => {
if (!responses[standard] || responses[standard][q.id] !== 'yes') {
gaps.push({
question: q.question,
priority: q.weight >= 4 ? 'High' : q.weight >= 3 ? 'Medium' : 'Low',
recommendation: this.getRecommendation(q.id, standard)
});
}
});
return gaps;
}
getRecommendation(questionId, standard) {
const recommendations = {
gdpr: {
1: "Develop and publish a comprehensive privacy policy",
2: "Implement data subject request handling procedures",
3: "Establish breach notification workflows and templates",
4: "Conduct DPIAs for high-risk processing activities",
5: "Implement clear consent collection mechanisms"
},
euAiAct: {
1: "Perform AI system risk classification assessment",
2: "Implement algorithmic transparency measures",
3: "Establish human-in-the-loop oversight processes",
4: "Conduct bias testing and implement mitigation strategies",
5: "Implement comprehensive AI system logging and documentation"
},
iso27001: {
1: "Develop and approve information security policies",
2: "Conduct systematic information security risk assessments",
3: "Establish incident response team and procedures",
4: "Implement role-based access control systems",
5: "Establish continuous improvement processes for security management"
}
};
return recommendations[standard][questionId] || "Consult with compliance experts for specific guidance";
}
}
// PDF Report Generation with AI Integration
class ReportGenerator {
constructor() {
this.assessment = new ComplianceAssessment();
}
// Compose a narrative for summarization
composeNarrative(responses) {
let narrative = '';
Object.keys(this.assessment.assessmentData).forEach(standard => {
const standardData = this.assessment.assessmentData[standard];
narrative += `${standardData.name}:\n`;
standardData.questions.forEach(q => {
const answer = responses[standard] && responses[standard][q.id] ? responses[standard][q.id] : 'no response';
narrative += `Q: ${q.question}\nA: ${answer}\n`;
});
});
return narrative;
}
// Main PDF generation function (async for AI)
async generatePDFReport(responses) {
const { jsPDF } = window.jspdf;
const doc = new jsPDF({ compress: true });
let y = 20;
// Header
doc.setFontSize(18).text('Anupalan Karta Compliance Report', 20, y);
y += 10;
// Executive Summary (AI-generated)
const fullNarrative = this.composeNarrative(responses);
const summaryText = await buildExecutiveSummary(fullNarrative);
doc.setFontSize(14).text('Executive Summary', 20, y); y += 8;
doc.setFontSize(11).text(doc.splitTextToSize(summaryText, 170), 20, y);
y += 20;
// Privacy Warning (AI-flagged)
if (await containsSensitive(fullNarrative)) {
doc.setTextColor(200, 0, 0).setFontSize(12)
.text('⚠︎ Potential GDPR-sensitive content detected', 20, y);
doc.setTextColor(0, 0, 0); y += 10;
}
// Individual Standards
Object.keys(this.assessment.assessmentData).forEach(standard => {
if (y > 250) {
doc.addPage();
y = 20;
}
const standardData = this.assessment.assessmentData[standard];
const score = this.assessment.calculateScore(responses, standard);
doc.setFontSize(14).text(standardData.name, 20, y); y += 10;
doc.setFontSize(12).text(`Score: ${score.score}/${score.maxScore} (${score.percentage}%)`, 20, y); y += 10;
// Gap Analysis
const gaps = this.assessment.generateGapAnalysis(responses, standard);
if (gaps.length > 0) {
doc.text('Key Gaps:', 20, y); y += 8;
gaps.slice(0, 3).forEach(gap => {
if (y > 250) {
doc.addPage();
y = 20;
}
doc.setFontSize(10);
const lines = doc.splitTextToSize(`• ${gap.question}`, 160);
doc.text(lines, 25, y);
y += lines.length * 4;
const recLines = doc.splitTextToSize(` Recommendation: ${gap.recommendation}`, 160);
doc.text(recLines, 25, y);
y += recLines.length * 4 + 5;
});
}
y += 10;
});
// Footer
doc.setFontSize(9).text('Generated with Hugging Face models in the browser',
20, doc.internal.pageSize.height - 10);
return doc;
}
}
// Hugging Face AI helpers
// Executive summary using BART
async function buildExecutiveSummary(rawText) {
const summariser = await summariserP;
const chunks = rawText.match(/(.|[\r\n]){1,3000}/g);
let summary = '';
for (const c of chunks) {
const out = await summariser(c, { max_length: 120, min_length: 40 });
summary += out[0].summary_text + ' ';
}
return summary.trim();
}
// Privacy check using GDPR model
async function containsSensitive(text) {
const guard = await privacyGuardP;
const res = await guard(text, { topk: 1 });
return res[0].label === 'SENSITIVE' && res[0].score > 0.6;
}
// Legal insight embedding (future use)
async function legalVector(text) {
const encoder = await legalEncoderP;
const emb = await encoder(text);
return emb;
}
// UI Logic
// Generate Sample Report
window.generateSampleReport = async function() {
const assessment = new ComplianceAssessment();
const reportGenerator = new ReportGenerator();
const sampleResponses = assessment.generateSampleAssessment();
const doc = await reportGenerator.generatePDFReport(sampleResponses);
doc.save('sample-compliance-report.pdf');
};
// Interactive Assessment Modal (optional, for custom assessments)
window.showAssessmentModal = function() {
// ... (modal code as in previous answers)
};
window.closeAssessmentModal = function() {
// ... (modal code as in previous answers)
};
window.generateCustomReport = async function() {
// ... (collect responses from modal, then:)
const assessment = new ComplianceAssessment();
const reportGenerator = new ReportGenerator();
// Collect responses from UI
const responses = {};
Object.keys(assessment.assessmentData).forEach(standard => {
responses[standard] = {};
assessment.assessmentData[standard].questions.forEach(q => {
const radio = document.querySelector(`input[name="${standard}_${q.id}"]:checked`);
if (radio) {
responses[standard][q.id] = radio.value;
}
});
});
const doc = await reportGenerator.generatePDFReport(responses);
doc.save('compliance-report.pdf');
window.closeAssessmentModal();
};
// Initialization
document.addEventListener('DOMContentLoaded', function() {
const sampleButton = document.querySelector('button[onclick="generateSampleReport()"]');
if (sampleButton) {
sampleButton.onclick = window.generateSampleReport;
}
// Add interactive assessment button if needed
});