Create js/compliance.js

js/compliance.js

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+// 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
+});