- Implement distributed coordination with Raft consensus for leader election - Add horizontal sharding with consistent hashing for data distribution - Implement read/write separation for scalable primary-replica architecture - Add cross-instance cache synchronization with version vectors - Implement intelligent type mapper to prevent semantic degradation - Add rate limiting augmentation with configurable per-operation limits - Add comprehensive audit logging for compliance and debugging - Support for strong and eventual consistency models - Automatic failover and replication lag monitoring These features enable true enterprise-scale deployment across multiple nodes
452 lines
No EOL
11 KiB
TypeScript
452 lines
No EOL
11 KiB
TypeScript
/**
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* Audit Logging Augmentation
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* Provides comprehensive audit trail for all Brainy operations
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*/
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import { BaseAugmentation } from './brainyAugmentation.js'
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import { AugmentationManifest } from './manifest.js'
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import { createHash } from 'crypto'
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export interface AuditLogConfig {
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enabled?: boolean
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logLevel?: 'minimal' | 'standard' | 'detailed'
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includeData?: boolean
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includeMetadata?: boolean
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retention?: number // Days to keep logs
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storage?: 'memory' | 'file' | 'database'
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filePath?: string
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maxMemoryLogs?: number
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}
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export interface AuditLogEntry {
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id: string
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timestamp: number
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operation: string
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params: any
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result?: any
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error?: any
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duration: number
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userId?: string
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sessionId?: string
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metadata?: Record<string, any>
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}
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/**
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* Audit Log Augmentation
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*/
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export class AuditLogAugmentation extends BaseAugmentation {
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readonly name = 'auditLogger'
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readonly timing = 'around' as const
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readonly metadata = 'readonly' as const // Read metadata for context
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operations = ['all'] as any // Audit all operations
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readonly priority = 90 // Low priority, runs last
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// Augmentation metadata
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readonly category = 'core' as const
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readonly description = 'Comprehensive audit logging for compliance and debugging'
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private logs: AuditLogEntry[] = []
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private sessionId: string
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constructor(config: AuditLogConfig = {}) {
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super(config)
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// Merge with defaults
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this.config = {
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enabled: config.enabled ?? true,
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logLevel: config.logLevel ?? 'standard',
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includeData: config.includeData ?? false,
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includeMetadata: config.includeMetadata ?? true,
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retention: config.retention ?? 90, // 90 days default
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storage: config.storage ?? 'memory',
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filePath: config.filePath,
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maxMemoryLogs: config.maxMemoryLogs ?? 10000
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}
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// Generate session ID
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this.sessionId = this.generateId()
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}
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getManifest(): AugmentationManifest {
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return {
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id: 'audit-logger',
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name: 'Audit Logger',
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version: '1.0.0',
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description: 'Comprehensive audit trail for all operations',
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longDescription: 'Records detailed audit logs of all Brainy operations for compliance, debugging, and analytics purposes.',
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category: 'analytics',
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configSchema: {
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type: 'object',
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properties: {
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enabled: {
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type: 'boolean',
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default: true,
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description: 'Enable audit logging'
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},
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logLevel: {
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type: 'string',
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enum: ['minimal', 'standard', 'detailed'],
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default: 'standard',
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description: 'Level of detail to log'
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},
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includeData: {
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type: 'boolean',
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default: false,
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description: 'Include actual data in logs (privacy concern)'
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},
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includeMetadata: {
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type: 'boolean',
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default: true,
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description: 'Include metadata in logs'
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},
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retention: {
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type: 'number',
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default: 90,
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minimum: 1,
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maximum: 365,
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description: 'Days to retain logs'
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},
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storage: {
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type: 'string',
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enum: ['memory', 'file', 'database'],
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default: 'memory',
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description: 'Where to store audit logs'
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},
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maxMemoryLogs: {
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type: 'number',
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default: 10000,
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description: 'Maximum logs to keep in memory'
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}
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}
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},
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configDefaults: {
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enabled: true,
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logLevel: 'standard',
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includeData: false,
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includeMetadata: true,
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retention: 90,
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storage: 'memory',
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maxMemoryLogs: 10000
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},
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minBrainyVersion: '3.0.0',
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keywords: ['audit', 'logging', 'compliance', 'analytics'],
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documentation: 'https://docs.brainy.dev/augmentations/audit-log',
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status: 'stable',
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performance: {
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memoryUsage: 'medium',
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cpuUsage: 'low',
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networkUsage: 'none'
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},
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features: ['operation-logging', 'configurable-detail', 'retention-management'],
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enhancedOperations: ['all'],
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metrics: [
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{
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name: 'audit_logs_created',
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type: 'counter',
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description: 'Total audit logs created'
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},
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{
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name: 'audit_log_size',
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type: 'gauge',
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description: 'Current audit log size'
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}
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]
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}
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}
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protected async onInitialize(): Promise<void> {
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if (!this.config.enabled) {
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this.log('Audit logger disabled by configuration')
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return
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}
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this.log(`Audit logger initialized (level: ${this.config.logLevel}, storage: ${this.config.storage})`)
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// Start retention cleanup if using memory storage
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if (this.config.storage === 'memory') {
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setInterval(() => {
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this.cleanupOldLogs()
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}, 3600000) // Every hour
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}
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}
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protected async onShutdown(): Promise<void> {
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// Save any pending logs if using file storage
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if (this.config.storage === 'file' && this.logs.length > 0) {
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await this.flushLogs()
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}
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this.log('Audit logger shut down')
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}
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/**
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* Execute augmentation - log operations
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*/
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async execute<T = any>(
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operation: string,
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params: any,
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next: () => Promise<T>
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): Promise<T> {
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// If audit logging is disabled, just pass through
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if (!this.config.enabled) {
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return next()
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}
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const startTime = Date.now()
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const logEntry: Partial<AuditLogEntry> = {
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id: this.generateId(),
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timestamp: startTime,
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operation,
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sessionId: this.sessionId
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}
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// Add params based on log level
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if (this.config.logLevel !== 'minimal') {
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logEntry.params = this.sanitizeParams(params)
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}
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try {
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const result = await next()
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// Log successful operation
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logEntry.duration = Date.now() - startTime
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// Add result based on log level and config
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if (this.config.logLevel === 'detailed' && this.config.includeData) {
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logEntry.result = this.sanitizeResult(result)
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}
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await this.writeLog(logEntry as AuditLogEntry)
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return result
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} catch (error) {
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// Log failed operation
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logEntry.duration = Date.now() - startTime
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logEntry.error = this.sanitizeError(error)
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await this.writeLog(logEntry as AuditLogEntry)
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throw error
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}
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}
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/**
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* Sanitize parameters to remove sensitive data
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*/
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private sanitizeParams(params: any): any {
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if (!params) return params
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// Don't include actual data unless configured
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if (!this.config.includeData && params.data) {
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return {
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...params,
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data: '[REDACTED]'
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}
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}
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// Redact common sensitive fields
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const sanitized = { ...params }
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const sensitiveFields = ['password', 'token', 'apiKey', 'secret']
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for (const field of sensitiveFields) {
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if (sanitized[field]) {
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sanitized[field] = '[REDACTED]'
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}
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}
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return sanitized
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}
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/**
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* Sanitize result data
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*/
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private sanitizeResult(result: any): any {
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if (!result) return result
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// For arrays, just log count
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if (Array.isArray(result)) {
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return { count: result.length, type: 'array' }
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}
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// For objects, remove sensitive fields
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if (typeof result === 'object') {
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const sanitized: any = {}
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for (const key in result) {
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if (!['password', 'token', 'apiKey', 'secret'].includes(key)) {
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sanitized[key] = result[key]
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}
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}
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return sanitized
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}
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return result
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}
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/**
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* Sanitize error information
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*/
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private sanitizeError(error: any): any {
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if (!error) return error
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return {
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message: error.message || 'Unknown error',
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code: error.code,
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statusCode: error.statusCode,
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stack: this.config.logLevel === 'detailed' ? error.stack : undefined
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}
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}
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/**
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* Write log entry
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*/
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private async writeLog(entry: AuditLogEntry): Promise<void> {
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switch (this.config.storage) {
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case 'memory':
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this.logs.push(entry)
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// Enforce max memory logs
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if (this.logs.length > this.config.maxMemoryLogs!) {
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this.logs.shift() // Remove oldest
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}
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break
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case 'file':
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// In production, would write to file
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// For now, just add to memory
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this.logs.push(entry)
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break
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case 'database':
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// In production, would write to database
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// For now, just add to memory
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this.logs.push(entry)
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break
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}
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}
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/**
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* Flush logs to persistent storage
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*/
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private async flushLogs(): Promise<void> {
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// In production, would write to file/database
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// For now, just clear old logs
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if (this.logs.length > this.config.maxMemoryLogs!) {
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this.logs = this.logs.slice(-this.config.maxMemoryLogs!)
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}
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}
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/**
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* Clean up old logs based on retention
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*/
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private cleanupOldLogs(): void {
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const cutoffTime = Date.now() - (this.config.retention! * 24 * 60 * 60 * 1000)
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this.logs = this.logs.filter(log => log.timestamp >= cutoffTime)
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}
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/**
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* Generate unique ID
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*/
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private generateId(): string {
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return createHash('sha256')
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.update(`${Date.now()}-${Math.random()}`)
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.digest('hex')
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.substring(0, 16)
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}
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/**
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* Query audit logs
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*/
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queryLogs(filter?: {
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operation?: string
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startTime?: number
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endTime?: number
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sessionId?: string
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hasError?: boolean
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}): AuditLogEntry[] {
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let results = [...this.logs]
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if (filter) {
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if (filter.operation) {
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results = results.filter(log => log.operation === filter.operation)
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}
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if (filter.startTime) {
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results = results.filter(log => log.timestamp >= filter.startTime!)
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}
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if (filter.endTime) {
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results = results.filter(log => log.timestamp <= filter.endTime!)
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}
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if (filter.sessionId) {
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results = results.filter(log => log.sessionId === filter.sessionId)
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}
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if (filter.hasError !== undefined) {
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results = results.filter(log => (log.error !== undefined) === filter.hasError)
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}
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}
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return results
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}
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/**
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* Get audit statistics
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*/
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getStats(): {
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totalLogs: number
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operations: Record<string, number>
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averageDuration: number
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errorRate: number
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} {
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const stats: any = {
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totalLogs: this.logs.length,
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operations: {},
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averageDuration: 0,
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errorRate: 0
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}
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let totalDuration = 0
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let errorCount = 0
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for (const log of this.logs) {
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// Count by operation
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stats.operations[log.operation] = (stats.operations[log.operation] || 0) + 1
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// Sum duration
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totalDuration += log.duration
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// Count errors
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if (log.error) errorCount++
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}
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if (this.logs.length > 0) {
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stats.averageDuration = totalDuration / this.logs.length
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stats.errorRate = errorCount / this.logs.length
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}
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return stats
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}
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/**
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* Export logs for analysis
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*/
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exportLogs(): AuditLogEntry[] {
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return [...this.logs]
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}
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/**
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* Clear all logs
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*/
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clearLogs(): void {
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this.logs = []
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}
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}
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/**
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* Create audit log augmentation
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*/
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export function createAuditLogAugmentation(config?: AuditLogConfig): AuditLogAugmentation {
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return new AuditLogAugmentation(config)
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} |