observ-metrics/dist/core/SmartFilter.d.ts

Frontend monitoring library that eliminates noise and adds business context to OpenTelemetry data

/**
 *  filtering system to eliminate noise and focus on business-critical events
 * Solves the "signal vs noise" problem in frontend monitoring
 */
import type { TelemetryEvent, UserContext, FilterConfig, FilterFunction } from '../types';
export declare class Filter {
    private config;
    private botPatterns;
    private extensionPatterns;
    private noisePatterns;
    constructor(config: FilterConfig);
    private initializePatterns;
    /**
     * Main filtering method - determines if event should be processed
     */
    shouldProcess(event: TelemetryEvent, context: UserContext): boolean;
    /**
     * Detect bot traffic using multiple signals
     */
    private isBotSession;
    private hasHeadlessIndicators;
    private hasAutomationIndicators;
    private hasUnusualSessionCharacteristics;
    /**
     * Check if domain is allowed
     */
    private isDomainAllowed;
    /**
     * Check if event is noise (static assets, etc.)
     */
    private isNoiseEvent;
    /**
     * Check if event is from browser extension
     */
    private isExtensionEvent;
    /**
     * Determine if current session represents a real user
     */
    isRealUserSession(context?: UserContext): boolean;
    private hasRealUserIndicators;
    private createDefaultContext;
    /**
     * Get filtering statistics
     */
    getStats(): {
        botPatternsCount: number;
        extensionPatternsCount: number;
        noisePatternsCount: number;
        samplingRate: number;
        config: {
            enableBotDetection: boolean;
            domainWhitelist: string[];
            excludeExtensions: boolean;
        };
    };
    /**
     * Add runtime custom filter
     */
    addCustomFilter(filter: FilterFunction): void;
    /**
     * Update configuration
     */
    updateConfig(newConfig: Partial<FilterConfig>): void;
}
//# sourceMappingURL=SmartFilter.d.ts.map