Framework Measurement Scripts (Phase 4.2-4.3): - measure-framework-effectiveness.js: Overall participation rate and service metrics - check-boundary-enforcer-logs.js: Service-specific analysis with recent decision tracking - measure-recent-participation.js: Recent-only metrics to avoid historical data skew Purpose: Discovered that 91.6% of audit logs were created before Phase 3 deployment, creating artificially low participation metrics. These scripts separate historical (pre-Phase 3) data from current performance metrics. Key Findings: - Overall participation: 4.3% (misleading - includes 91.6% pre-Phase 3 data) - Recent BoundaryEnforcer decisions: 100% guidance generation (last 5/5) - CrossReferenceValidator: 56% participation (last 24h) - MetacognitiveVerifier: 43% participation (last 24h) Validates Phase 3 is working correctly - 100% of new decisions include guidance. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
297 lines
12 KiB
JavaScript
297 lines
12 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Phase 4.2: Framework Effectiveness Metrics
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*
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* Quantitatively measures the impact of Phases 1+2+3:
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* - Framework participation rate
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* - Service utilization distribution
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* - Decision quality indicators
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* - Cross-validation scores (when available)
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*/
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const mongoose = require('mongoose');
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async function main() {
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console.log('═══════════════════════════════════════════════════════════');
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console.log(' FRAMEWORK EFFECTIVENESS METRICS - Phase 4.2');
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console.log('═══════════════════════════════════════════════════════════');
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console.log('');
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// Connect to MongoDB
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try {
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await mongoose.connect('mongodb://localhost:27017/tractatus_dev', {
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serverSelectionTimeoutMS: 5000
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});
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console.log('✓ Connected to MongoDB (tractatus_dev)');
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console.log('');
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} catch (err) {
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console.error('✗ MongoDB connection failed:', err.message);
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process.exit(1);
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}
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// Get audit logs collection
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const db = mongoose.connection.db;
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const auditLogs = db.collection('auditLogs');
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// =============================================================================
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// METRIC 1: Framework Participation Rate
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// =============================================================================
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console.log('METRIC 1: Framework Participation Rate');
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console.log('─────────────────────────────────────────────────────────');
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const totalDecisions = await auditLogs.countDocuments({});
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const frameworkBackedDecisions = await auditLogs.countDocuments({
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'metadata.framework_backed_decision': true
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});
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const participationRate = totalDecisions > 0
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? ((frameworkBackedDecisions / totalDecisions) * 100).toFixed(1)
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: 0;
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console.log(` Total Decisions: ${totalDecisions}`);
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console.log(` Framework-Backed: ${frameworkBackedDecisions}`);
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console.log(` Participation Rate: ${participationRate}%`);
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console.log('');
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if (participationRate >= 80) {
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console.log(' ✓ EXCELLENT: Framework actively guiding most decisions');
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} else if (participationRate >= 60) {
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console.log(' ✓ GOOD: Framework participating in majority of decisions');
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} else if (participationRate >= 40) {
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console.log(' ⚠ MODERATE: Framework guidance available for some decisions');
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} else {
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console.log(' ✗ LOW: Framework participation needs improvement');
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}
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console.log('');
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// =============================================================================
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// METRIC 2: Service Utilization Distribution
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// =============================================================================
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console.log('METRIC 2: Service Utilization Distribution');
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console.log('─────────────────────────────────────────────────────────');
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const serviceDistribution = await auditLogs.aggregate([
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{
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$group: {
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_id: '$service',
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count: { $sum: 1 },
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frameworkBacked: {
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$sum: {
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$cond: [{ $eq: ['$metadata.framework_backed_decision', true] }, 1, 0]
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}
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}
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}
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},
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{ $sort: { count: -1 } }
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]).toArray();
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console.log(' Service Name Total Framework-Backed Rate');
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console.log(' ───────────────────────────── ───── ──────────────── ────');
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serviceDistribution.forEach(service => {
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const serviceName = service._id || 'Unknown';
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const rate = ((service.frameworkBacked / service.count) * 100).toFixed(0);
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console.log(` ${serviceName.padEnd(30)} ${String(service.count).padStart(7)} ${String(service.frameworkBacked).padStart(16)} ${String(rate).padStart(3)}%`);
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});
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console.log('');
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// =============================================================================
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// METRIC 3: Decision Quality Indicators
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// =============================================================================
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console.log('METRIC 3: Decision Quality Indicators');
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console.log('─────────────────────────────────────────────────────────');
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const allowedDecisions = await auditLogs.countDocuments({ allowed: true });
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const blockedDecisions = await auditLogs.countDocuments({ allowed: false });
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const decisionsWithViolations = await auditLogs.countDocuments({
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violations: { $exists: true, $ne: [] }
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});
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const blockRate = totalDecisions > 0
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? ((blockedDecisions / totalDecisions) * 100).toFixed(1)
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: 0;
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const violationRate = totalDecisions > 0
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? ((decisionsWithViolations / totalDecisions) * 100).toFixed(1)
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: 0;
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console.log(` Allowed Decisions: ${allowedDecisions} (${((allowedDecisions / totalDecisions) * 100).toFixed(1)}%)`);
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console.log(` Blocked Decisions: ${blockedDecisions} (${blockRate}%)`);
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console.log(` Decisions with Violations: ${decisionsWithViolations} (${violationRate}%)`);
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console.log('');
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if (blockRate < 5) {
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console.log(' ✓ HEALTHY: Low block rate indicates good governance compliance');
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} else if (blockRate < 15) {
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console.log(' ⚠ MODERATE: Some governance violations being caught');
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} else {
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console.log(' ⚠ HIGH: Significant violations being prevented by framework');
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}
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console.log('');
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// =============================================================================
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// METRIC 4: Severity Distribution
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// =============================================================================
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console.log('METRIC 4: Guidance Severity Distribution');
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console.log('─────────────────────────────────────────────────────────');
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const severityDistribution = await auditLogs.aggregate([
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{
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$match: {
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'metadata.guidance_severity': { $exists: true, $ne: null }
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}
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},
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{
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$group: {
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_id: '$metadata.guidance_severity',
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count: { $sum: 1 }
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}
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},
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{ $sort: { count: -1 } }
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]).toArray();
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if (severityDistribution.length > 0) {
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severityDistribution.forEach(severity => {
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const severityName = severity._id || 'Unknown';
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const count = severity.count;
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const pct = ((count / frameworkBackedDecisions) * 100).toFixed(1);
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console.log(` ${severityName.padEnd(15)} ${String(count).padStart(5)} (${String(pct).padStart(5)}%)`);
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});
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} else {
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console.log(' No severity data available (guidance might not include severity)');
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}
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console.log('');
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// =============================================================================
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// METRIC 5: Temporal Analysis
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// =============================================================================
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console.log('METRIC 5: Temporal Analysis (Last 7 Days)');
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console.log('─────────────────────────────────────────────────────────');
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const sevenDaysAgo = new Date();
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sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);
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const recentDecisions = await auditLogs.countDocuments({
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timestamp: { $gte: sevenDaysAgo }
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});
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const recentFrameworkBacked = await auditLogs.countDocuments({
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timestamp: { $gte: sevenDaysAgo },
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'metadata.framework_backed_decision': true
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});
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const recentParticipationRate = recentDecisions > 0
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? ((recentFrameworkBacked / recentDecisions) * 100).toFixed(1)
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: 0;
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console.log(` Recent Decisions (7d): ${recentDecisions}`);
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console.log(` Framework-Backed (7d): ${recentFrameworkBacked}`);
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console.log(` Recent Participation: ${recentParticipationRate}%`);
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console.log('');
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if (parseFloat(recentParticipationRate) > parseFloat(participationRate)) {
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console.log(` ✓ IMPROVING: Recent participation (${recentParticipationRate}%) > Overall (${participationRate}%)`);
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} else if (parseFloat(recentParticipationRate) === parseFloat(participationRate)) {
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console.log(` → STABLE: Recent participation matches overall rate`);
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} else {
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console.log(` ⚠ DECLINING: Recent participation (${recentParticipationRate}%) < Overall (${participationRate}%)`);
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}
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console.log('');
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// =============================================================================
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// METRIC 6: Phase 3 Impact Assessment
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// =============================================================================
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console.log('METRIC 6: Phase 3 Impact Assessment');
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console.log('─────────────────────────────────────────────────────────');
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// Check for decisions with guidance objects (Phase 3 feature)
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const decisionsWithGuidance = await auditLogs.countDocuments({
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'metadata.guidance_provided': true
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});
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const guidanceRate = totalDecisions > 0
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? ((decisionsWithGuidance / totalDecisions) * 100).toFixed(1)
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: 0;
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console.log(` Decisions with Guidance: ${decisionsWithGuidance} (${guidanceRate}%)`);
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console.log('');
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if (guidanceRate >= 50) {
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console.log(' ✓ Phase 3 EFFECTIVE: Guidance generation working well');
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} else if (guidanceRate >= 25) {
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console.log(' ⚠ Phase 3 PARTIAL: Some guidance being generated');
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} else {
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console.log(' ✗ Phase 3 LIMITED: Low guidance generation rate');
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}
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console.log('');
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// =============================================================================
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// SUMMARY & RECOMMENDATIONS
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// =============================================================================
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console.log('═══════════════════════════════════════════════════════════');
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console.log(' EFFECTIVENESS SUMMARY');
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console.log('═══════════════════════════════════════════════════════════');
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console.log('');
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console.log(' Key Metrics:');
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console.log(` • Framework Participation: ${participationRate}%`);
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console.log(` • Guidance Generation: ${guidanceRate}%`);
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console.log(` • Block Rate: ${blockRate}%`);
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console.log(` • Violation Detection: ${violationRate}%`);
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console.log(` • Active Services: ${serviceDistribution.length}`);
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console.log('');
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// Calculate overall effectiveness score
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const effectivenessScore = Math.round(
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(parseFloat(participationRate) * 0.4) +
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(parseFloat(guidanceRate) * 0.3) +
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((100 - parseFloat(violationRate)) * 0.2) +
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(Math.min(serviceDistribution.length / 6, 1) * 100 * 0.1)
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);
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console.log(` Overall Effectiveness Score: ${effectivenessScore}/100`);
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console.log('');
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if (effectivenessScore >= 80) {
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console.log(' 🎉 EXCELLENT: Framework is highly effective');
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} else if (effectivenessScore >= 60) {
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console.log(' ✓ GOOD: Framework is performing well');
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} else if (effectivenessScore >= 40) {
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console.log(' ⚠ MODERATE: Framework needs improvement');
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} else {
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console.log(' ✗ LOW: Framework requires significant tuning');
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}
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console.log('');
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console.log(' Recommendations for Phase 4.3:');
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if (parseFloat(participationRate) < 70) {
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console.log(' • Increase framework participation rate (currently ' + participationRate + '%)');
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}
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if (parseFloat(guidanceRate) < 60) {
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console.log(' • Improve guidance generation coverage (currently ' + guidanceRate + '%)');
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}
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if (parseFloat(blockRate) > 10) {
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console.log(' • Review keyword lists - block rate seems high (' + blockRate + '%)');
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}
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if (serviceDistribution.length < 5) {
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console.log(' • Ensure all framework services are being utilized');
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}
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console.log('');
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console.log('═══════════════════════════════════════════════════════════');
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await mongoose.disconnect();
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process.exit(0);
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}
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main().catch(err => {
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console.error('Fatal error:', err);
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process.exit(1);
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});
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