Files
triqura-ecd/lib/cortex/logger.ts
colinislit cf26022583 feat(cortex): Epic 0 - Foundation & Context voor V2 architectuur
Implementeert de basis voor de Cortex V2 three-layer architecture.

E0.S1 - CortexContext Types (lib/cortex/types.ts):
- EscalationReason type voor Reflex → Orchestrator
- LocalClassificationResult met ambiguity detection
- CortexContext voor AI classificatie context
- IntentChain en IntentAction voor multi-intent flows
- NudgeSuggestion voor proactieve suggesties
- CONFIDENCE_THRESHOLD (0.7) en AMBIGUITY_THRESHOLD (0.1)
- getCurrentShift() utility (DRY - herbruikbaar)

E0.S2 - Context API (app/api/cortex/context/route.ts):
- GET endpoint voor huidige context
- Haalt agenda vandaag op uit database
- Retourneert CortexContext object

E0.S3 - Feature Flags (lib/config/feature-flags.ts):
- CORTEX_V2_ENABLED, CORTEX_MULTI_INTENT
- CORTEX_NUDGE, CORTEX_LOGGING
- isFeatureEnabled() helper
- Dev mode: default true

E0.S4 - CortexStore V2 (stores/cortex-store.ts):
- Types geïmporteerd uit lib/cortex (DRY)
- ChatEntities type voor AI responses (string-based)
- V2 state: context, activeChain, chainHistory, suggestions
- V2 actions: chain management, nudge management, clarification

E0.S5 - Classification Logging (lib/cortex/logger.ts):
- PII sanitization (BSN, tel, namen, email)
- logClassification(), logEscalation(), logNudge()
- logPerformance() met threshold checks

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-31 12:46:35 +01:00

161 lines
4.6 KiB
TypeScript

/**
* Cortex Classification Logger
*
* Logging utility with PII sanitization for classification results.
* In development: full logging for debugging.
* In production: sanitized logging (no names, BSN, phone numbers).
*/
import { isFeatureEnabled } from '@/lib/config/feature-flags';
import type { LocalClassificationResult, IntentChain } from './types';
// PII patterns to sanitize in production
const PII_PATTERNS: Array<{ pattern: RegExp; replacement: string }> = [
// BSN (9 digits)
{ pattern: /\b\d{9}\b/g, replacement: '[BSN]' },
// Dutch phone numbers
{ pattern: /\b0[1-9]\d{8}\b/g, replacement: '[TEL]' },
{ pattern: /\b06[-\s]?\d{8}\b/g, replacement: '[TEL]' },
{ pattern: /\+31[-\s]?\d{9}\b/g, replacement: '[TEL]' },
// Dates (dd-mm-yyyy format)
{ pattern: /\b\d{2}[-/]\d{2}[-/]\d{4}\b/g, replacement: '[DATUM]' },
// Email addresses
{ pattern: /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/g, replacement: '[EMAIL]' },
// Common Dutch first names (case insensitive)
{
pattern:
/\b(Jan|Piet|Klaas|Marie|Anna|Lisa|Eva|Emma|Sophie|Thomas|Lucas|Daan|Sem|Liam|Noah|Julia|Sara|Lotte|Henk|Willem|Pieter|Johan|Marieke|Sandra|Linda|Monique|Peter|Hans|Jeroen|Bart|Mark|Erik|Rob|Kees|Cor|Arie|Gerrit|Hendrik|Johannes)\b/gi,
replacement: '[NAAM]',
},
// Common Dutch family name prefixes + word after
{
pattern: /\b(van|de|den|der|het|ter|ten)\s+[A-Z][a-z]+\b/gi,
replacement: '[NAAM]',
},
];
/**
* Sanitize input string by removing PII
* In development: returns original input
* In production: replaces PII with placeholders
*/
export function sanitizeForLogging(input: string): string {
if (process.env.NODE_ENV === 'development') {
return input;
}
let sanitized = input;
for (const { pattern, replacement } of PII_PATTERNS) {
sanitized = sanitized.replace(pattern, replacement);
}
return sanitized;
}
/**
* Log a classification result (Reflex or Orchestrator)
* Only logs if CORTEX_LOGGING feature flag is enabled
*/
export function logClassification(
input: string,
result: LocalClassificationResult | IntentChain
): void {
if (!isFeatureEnabled('CORTEX_LOGGING')) {
return;
}
const sanitizedInput = sanitizeForLogging(input);
const timestamp = new Date().toISOString();
if ('shouldEscalateToAI' in result) {
// LocalClassificationResult (Reflex Arc)
const logData = {
input: sanitizedInput,
intent: result.intent,
confidence: result.confidence.toFixed(2),
escalate: result.shouldEscalateToAI,
reason: result.escalationReason || null,
timeMs: result.processingTimeMs,
};
if (result.shouldEscalateToAI) {
console.log(`[Cortex:Reflex→AI] ${timestamp}`, logData);
} else {
console.log(`[Cortex:Reflex] ${timestamp}`, logData);
}
} else {
// IntentChain (Orchestrator)
console.log(`[Cortex:Orchestrator] ${timestamp}`, {
input: sanitizedInput,
actionCount: result.actions.length,
intents: result.actions.map((a) => a.intent),
source: result.meta.source,
timeMs: result.meta.processingTimeMs,
reasoning: result.meta.aiReasoning
? sanitizeForLogging(result.meta.aiReasoning).slice(0, 100)
: null,
});
}
}
/**
* Log an escalation event (Reflex → Orchestrator)
*/
export function logEscalation(
input: string,
reason: LocalClassificationResult['escalationReason'],
reflexResult: LocalClassificationResult
): void {
if (!isFeatureEnabled('CORTEX_LOGGING')) {
return;
}
console.log(`[Cortex:Escalation] ${new Date().toISOString()}`, {
input: sanitizeForLogging(input),
reason,
reflexIntent: reflexResult.intent,
reflexConfidence: reflexResult.confidence.toFixed(2),
secondBest: reflexResult.secondBestIntent || null,
secondBestConfidence: reflexResult.secondBestConfidence?.toFixed(2) || null,
});
}
/**
* Log a nudge suggestion event
*/
export function logNudge(
triggeredBy: string,
suggestionMessage: string,
accepted: boolean
): void {
if (!isFeatureEnabled('CORTEX_LOGGING')) {
return;
}
console.log(`[Cortex:Nudge] ${new Date().toISOString()}`, {
trigger: triggeredBy,
suggestion: sanitizeForLogging(suggestionMessage),
accepted,
});
}
/**
* Log performance metrics
*/
export function logPerformance(
layer: 'reflex' | 'orchestrator',
durationMs: number,
success: boolean
): void {
if (!isFeatureEnabled('CORTEX_LOGGING')) {
return;
}
const emoji = success ? '✓' : '✗';
const threshold = layer === 'reflex' ? 20 : 800;
const status = durationMs <= threshold ? 'OK' : 'SLOW';
console.log(
`[Cortex:Perf] ${layer} ${emoji} ${durationMs}ms [${status}]`
);
}