realtime-analytics.ts•22.3 kB
/**
* Phase 3: Real-time Analytics & KPI Dashboard Service
* Core engine for WebSocket streaming, KPI monitoring, and predictive analytics
*/
import WebSocket, { WebSocketServer } from 'ws';
import { EventEmitter } from 'events';
import { Logger } from '../utils/logger.js';
import {
StreamingDataPoint,
WebSocketConnection,
StreamSubscription,
KPIDashboard,
KPIWidget,
BusinessIntelligenceEngine,
PredictiveModel,
BusinessInsight,
RealtimeConfig,
TrendData,
StreamingFrequency,
AnalyzerType,
InsightType,
} from '../types/realtime-types.js';
import {
NETWORK_TIMEOUTS,
ANALYTICS_INTERVALS,
DATA_RETENTION,
ALERT_THRESHOLDS,
TIME_UNITS,
} from '../constants/timeouts.js';
export class RealtimeAnalyticsService extends EventEmitter {
private wsServer: WebSocketServer | null = null;
private connections: Map<string, WebSocketConnection> = new Map();
private subscriptions: Map<string, StreamSubscription> = new Map();
private dashboards: Map<string, KPIDashboard> = new Map();
private dataBuffer: Map<string, StreamingDataPoint[]> = new Map();
private biEngine: BusinessIntelligenceEngine;
private config: RealtimeConfig;
private isInitialized = false;
private logger: Logger;
constructor(config?: Partial<RealtimeConfig>) {
super();
this.logger = new Logger('RealtimeAnalyticsService');
this.config = this.mergeConfig(config);
this.biEngine = this.initializeBI();
this.logger.info('Realtime Analytics Service initialized');
}
private mergeConfig(userConfig?: Partial<RealtimeConfig>): RealtimeConfig {
const defaultConfig: RealtimeConfig = {
websocket: {
port: 8081,
path: '/realtime',
heartbeatInterval: NETWORK_TIMEOUTS.WEBSOCKET_HEARTBEAT,
maxConnections: 100,
compressionEnabled: true,
},
streaming: {
bufferSize: 1000,
batchSize: 50,
maxRetries: 3,
retryDelay: TIME_UNITS.SECOND,
},
kpi: {
maxDashboards: 50,
maxWidgetsPerDashboard: 20,
defaultRefreshInterval: ANALYTICS_INTERVALS.DASHBOARD_REFRESH,
cacheTimeout: DATA_RETENTION.CACHE_DEFAULT,
},
analytics: {
maxAnalyzers: 10,
maxPredictiveModels: 5,
trainingDataRetention: 30,
insightRetention: 7,
},
};
return {
websocket: { ...defaultConfig.websocket, ...userConfig?.websocket },
streaming: { ...defaultConfig.streaming, ...userConfig?.streaming },
kpi: { ...defaultConfig.kpi, ...userConfig?.kpi },
analytics: { ...defaultConfig.analytics, ...userConfig?.analytics },
};
}
private initializeBI(): BusinessIntelligenceEngine {
return {
engineId: `bi_engine_${Date.now()}`,
analyzers: [],
predictiveModels: [],
insights: [],
performanceMetrics: {
processedEvents: 0,
generatedInsights: 0,
averageProcessingTime: 0,
errorRate: 0,
lastUpdate: new Date(),
},
};
}
// ===== WEBSOCKET SERVER MANAGEMENT =====
public async startWebSocketServer(port?: number): Promise<void> {
if (this.wsServer) {
throw new Error('WebSocket server is already running');
}
const serverPort = port || this.config.websocket.port;
this.wsServer = new WebSocketServer({
port: serverPort,
path: this.config.websocket.path,
perMessageDeflate: this.config.websocket.compressionEnabled,
});
this.wsServer.on('connection', this.handleConnection.bind(this));
this.wsServer.on('error', this.handleServerError.bind(this));
// Start heartbeat interval
setInterval(this.performHeartbeat.bind(this), this.config.websocket.heartbeatInterval);
// Start analytics processing
setInterval(this.processAnalytics.bind(this), ANALYTICS_INTERVALS.REALTIME_PROCESSING);
this.isInitialized = true;
this.logger.info(`WebSocket server started on port ${serverPort}`);
this.emit('server:started', { port: serverPort });
}
private handleConnection(ws: WebSocket, request: any): void {
if (this.connections.size >= this.config.websocket.maxConnections) {
ws.close(1013, 'Maximum connections exceeded');
return;
}
const connectionId = this.generateId('conn');
const clientId = this.extractClientId(request) || this.generateId('client');
const connection: WebSocketConnection = {
id: connectionId,
clientId,
isActive: true,
subscriptions: [],
lastHeartbeat: new Date(),
connectionTime: new Date(),
};
this.connections.set(connectionId, connection);
ws.on('message', data => this.handleMessage(connectionId, data, ws));
ws.on('close', () => this.handleDisconnection(connectionId));
ws.on('pong', () => this.updateHeartbeat(connectionId));
// Send welcome message
this.sendToConnection(connectionId, {
type: 'connection:established',
connectionId,
clientId,
timestamp: new Date().toISOString(),
});
this.logger.info(`New WebSocket connection established: ${connectionId}`);
this.emit('connection:new', { connectionId, clientId });
}
private handleMessage(connectionId: string, data: WebSocket.Data, ws: WebSocket): void {
try {
const message = JSON.parse(data.toString());
switch (message.type) {
case 'subscribe':
this.handleSubscription(connectionId, message.payload);
break;
case 'unsubscribe':
this.handleUnsubscription(connectionId, message.payload);
break;
case 'kpi:create':
this.handleKPICreation(connectionId, message.payload);
break;
case 'kpi:update':
// KPI update functionality would be implemented here
ws.send(JSON.stringify({ type: 'kpi:update', status: 'not_implemented' }));
break;
case 'analytics:predict':
this.handlePredictionRequest(connectionId, message.payload);
break;
default:
ws.send(JSON.stringify({ error: 'Unknown message type', type: message.type }));
}
} catch (error) {
ws.send(JSON.stringify({ error: 'Invalid message format' }));
}
}
// ===== SUBSCRIPTION MANAGEMENT =====
private handleSubscription(connectionId: string, payload: any): void {
const connection = this.connections.get(connectionId);
if (!connection) return;
const subscriptionId = this.generateId('sub');
const subscription: StreamSubscription = {
subscriptionId,
entityType: payload.entityType,
serviceId: payload.serviceId,
filters: payload.filters,
frequency: payload.frequency || 'medium',
isActive: true,
lastUpdate: new Date(),
};
this.subscriptions.set(subscriptionId, subscription);
connection.subscriptions.push(subscription);
this.sendToConnection(connectionId, {
type: 'subscription:confirmed',
subscriptionId,
subscription,
});
this.logger.info(`New subscription created: ${subscriptionId} for ${payload.entityType}`);
this.emit('subscription:created', { subscriptionId, entityType: payload.entityType });
}
private handleUnsubscription(connectionId: string, payload: { subscriptionId: string }): void {
const subscription = this.subscriptions.get(payload.subscriptionId);
if (!subscription) return;
subscription.isActive = false;
this.subscriptions.delete(payload.subscriptionId);
const connection = this.connections.get(connectionId);
if (connection) {
connection.subscriptions = connection.subscriptions.filter(
sub => sub.subscriptionId !== payload.subscriptionId
);
}
this.sendToConnection(connectionId, {
type: 'subscription:removed',
subscriptionId: payload.subscriptionId,
});
this.logger.info(`Subscription removed: ${payload.subscriptionId}`);
}
// ===== KPI DASHBOARD MANAGEMENT =====
private handleKPICreation(connectionId: string, payload: any): void {
const dashboardId = this.generateId('dashboard');
const dashboard: KPIDashboard = {
dashboardId,
name: payload.name,
description: payload.description || '',
owner: this.connections.get(connectionId)?.clientId || 'unknown',
kpis: payload.kpis.map((kpi: any) => ({
widgetId: this.generateId('widget'),
name: kpi.name,
type: kpi.type,
query: {
entityType: kpi.entityType,
serviceId: kpi.serviceId,
aggregation: kpi.aggregation,
timeWindow: kpi.timeWindow,
filters: kpi.filters,
groupBy: kpi.groupBy,
},
visualization: kpi.visualization || {},
alerts: kpi.alerts || [],
position: kpi.position || { x: 0, y: 0, width: 1, height: 1 },
})),
layout: payload.layout || { columns: 12, rows: 8, responsive: true, theme: 'light' },
refreshInterval: payload.refreshInterval || this.config.kpi.defaultRefreshInterval,
isActive: true,
created: new Date(),
lastUpdated: new Date(),
};
this.dashboards.set(dashboardId, dashboard);
this.sendToConnection(connectionId, {
type: 'kpi:created',
dashboardId,
dashboard,
});
this.logger.info(`KPI Dashboard created: ${dashboardId} with ${dashboard.kpis.length} widgets`);
this.emit('dashboard:created', { dashboardId, widgetCount: dashboard.kpis.length });
}
// ===== PREDICTIVE ANALYTICS =====
private handlePredictionRequest(connectionId: string, payload: any): void {
const predictionId = this.generateId('prediction');
// Simulate predictive analysis (in real implementation, this would use ML models)
const prediction = this.generatePrediction(payload);
this.sendToConnection(connectionId, {
type: 'analytics:prediction',
predictionId,
prediction,
});
this.logger.info(`Prediction generated: ${predictionId} for ${payload.entityType}`);
}
private generatePrediction(payload: any): any {
// Simulate time series prediction
const baseValue = Math.random() * 1000 + 500;
const predictions = [];
for (let i = 1; i <= payload.forecastPeriod.size; i++) {
const timestamp = new Date();
timestamp.setHours(timestamp.getHours() + i);
const trend = (Math.random() - 0.5) * 0.1; // ±5% trend
const noise = (Math.random() - 0.5) * 0.2; // ±10% noise
const value = baseValue * (1 + trend * i + noise);
predictions.push({
timestamp,
value: Math.round(value),
confidence: 0.85 - i * 0.05, // Confidence decreases over time
bounds: {
lower: Math.round(value * 0.9),
upper: Math.round(value * 1.1),
},
});
}
return {
targetMetric: payload.targetMetric,
forecastPeriod: payload.forecastPeriod,
predictedValues: predictions,
confidence: 0.85,
generated: new Date(),
algorithm: payload.algorithm || 'time_series',
};
}
// ===== DATA STREAMING =====
public streamData(dataPoint: StreamingDataPoint): void {
const key = `${dataPoint.serviceId}_${dataPoint.entityType}`;
if (!this.dataBuffer.has(key)) {
this.dataBuffer.set(key, []);
}
const buffer = this.dataBuffer.get(key)!;
buffer.push(dataPoint);
// Limit buffer size
if (buffer.length > this.config.streaming.bufferSize) {
buffer.shift();
}
// Send to matching subscriptions
this.broadcastToSubscriptions(dataPoint);
// Process for analytics
this.processDataForAnalytics(dataPoint);
}
private broadcastToSubscriptions(dataPoint: StreamingDataPoint): void {
for (const [subId, subscription] of this.subscriptions) {
if (!subscription.isActive) continue;
if (
subscription.entityType === dataPoint.entityType &&
subscription.serviceId === dataPoint.serviceId
) {
// Check frequency throttling
if (this.shouldSendUpdate(subscription)) {
this.broadcastToSubscribers(subId, {
type: 'data:update',
subscriptionId: subId,
data: dataPoint,
timestamp: new Date().toISOString(),
});
subscription.lastUpdate = new Date();
}
}
}
}
private shouldSendUpdate(subscription: StreamSubscription): boolean {
const now = Date.now();
const lastUpdate = subscription.lastUpdate.getTime();
const intervals = {
realtime: TIME_UNITS.SECOND, // 1 second
high: ALERT_THRESHOLDS.RESPONSE_TIME_HIGH, // 5 seconds
medium: ALERT_THRESHOLDS.RESPONSE_TIME_MEDIUM, // 15 seconds
low: ANALYTICS_INTERVALS.HEALTH_CHECK, // 1 minute
};
return now - lastUpdate >= intervals[subscription.frequency];
}
private broadcastToSubscribers(subscriptionId: string, message: any): void {
for (const [connId, connection] of this.connections) {
if (connection.subscriptions.some(sub => sub.subscriptionId === subscriptionId)) {
this.sendToConnection(connId, message);
}
}
}
// ===== BUSINESS INTELLIGENCE PROCESSING =====
private processDataForAnalytics(dataPoint: StreamingDataPoint): void {
this.biEngine.performanceMetrics.processedEvents++;
// Simple trend analysis
const trend = this.analyzeTrend(dataPoint);
if (trend && Math.abs(trend.percentage) > 10) {
const insight = this.generateTrendInsight(dataPoint, trend);
this.biEngine.insights.push(insight);
this.broadcastInsight(insight);
}
// Anomaly detection
const anomaly = this.detectAnomaly(dataPoint);
if (anomaly) {
const insight = this.generateAnomalyInsight(dataPoint, anomaly);
this.biEngine.insights.push(insight);
this.broadcastInsight(insight);
}
}
private analyzeTrend(dataPoint: StreamingDataPoint): TrendData | null {
// Simplified trend analysis - in production would use more sophisticated algorithms
const key = `${dataPoint.serviceId}_${dataPoint.entityType}`;
const buffer = this.dataBuffer.get(key) || [];
if (buffer.length < 10) return null;
const recent = buffer.slice(-5);
const previous = buffer.slice(-10, -5);
const recentAvg = this.calculateAverage(recent);
const previousAvg = this.calculateAverage(previous);
if (previousAvg === 0) return null;
const percentage = ((recentAvg - previousAvg) / previousAvg) * 100;
return {
direction: percentage > 0 ? 'up' : percentage < 0 ? 'down' : 'stable',
percentage: Math.abs(percentage),
period: '5min',
significance:
Math.abs(percentage) > 20 ? 'high' : Math.abs(percentage) > 10 ? 'medium' : 'low',
};
}
private calculateAverage(dataPoints: StreamingDataPoint[]): number {
if (dataPoints.length === 0) return 0;
// Assume we're analyzing a numeric field - in production would be configurable
const values = dataPoints.map(dp => {
const numericFields = Object.keys(dp.data).filter(key => typeof dp.data[key] === 'number');
return numericFields.length > 0 ? dp.data[numericFields[0]] : 0;
});
return values.reduce((sum, val) => sum + val, 0) / values.length;
}
private detectAnomaly(dataPoint: StreamingDataPoint): any {
// Simple threshold-based anomaly detection
// In production would use statistical methods or ML
const numericFields = Object.keys(dataPoint.data).filter(
key => typeof dataPoint.data[key] === 'number'
);
for (const field of numericFields) {
const value = dataPoint.data[field];
if (value > 10000 || value < -1000) {
// Simple threshold
return {
field,
value,
threshold: value > 0 ? 10000 : -1000,
severity: value > 50000 || value < ALERT_THRESHOLDS.ANOMALY_THRESHOLD ? 'high' : 'medium',
};
}
}
return null;
}
private generateTrendInsight(dataPoint: StreamingDataPoint, trend: TrendData): BusinessInsight {
return {
insightId: this.generateId('insight'),
title: `Trend Alert: ${dataPoint.entityType}`,
description: `${trend.direction.toUpperCase()} trend detected: ${trend.percentage.toFixed(1)}% change over ${trend.period}`,
type: 'trend_alert',
severity: trend.significance === 'high' ? 'high' : 'medium',
confidence: 0.8,
data: { dataPoint, trend },
recommendations: [
`Monitor ${dataPoint.entityType} closely for continued ${trend.direction}ward movement`,
'Consider adjusting thresholds or scaling resources if trend continues',
],
generated: new Date(),
expires: new Date(Date.now() + DATA_RETENTION.INSIGHTS_SHORT), // 24 hours
};
}
private generateAnomalyInsight(dataPoint: StreamingDataPoint, anomaly: any): BusinessInsight {
return {
insightId: this.generateId('insight'),
title: `Anomaly Detected: ${dataPoint.entityType}`,
description: `Unusual value detected for ${anomaly.field}: ${anomaly.value} (threshold: ${anomaly.threshold})`,
type: 'anomaly_detection',
severity: anomaly.severity === 'high' ? 'critical' : 'high',
confidence: 0.9,
data: { dataPoint, anomaly },
recommendations: [
'Investigate the cause of this anomalous value',
'Check system health and data quality',
'Consider updating anomaly detection thresholds',
],
generated: new Date(),
expires: new Date(Date.now() + DATA_RETENTION.ANALYTICS_LONG), // 72 hours
};
}
private broadcastInsight(insight: BusinessInsight): void {
const message = {
type: 'insight:generated',
insight,
};
// Broadcast to all connected clients
for (const connectionId of this.connections.keys()) {
this.sendToConnection(connectionId, message);
}
this.biEngine.performanceMetrics.generatedInsights++;
this.logger.info(`Business insight generated and broadcast: ${insight.insightId}`);
}
private processAnalytics(): void {
// Periodic cleanup and maintenance
this.cleanupExpiredInsights();
this.updatePerformanceMetrics();
}
private cleanupExpiredInsights(): void {
const now = new Date();
this.biEngine.insights = this.biEngine.insights.filter(
insight => !insight.expires || insight.expires > now
);
}
private updatePerformanceMetrics(): void {
this.biEngine.performanceMetrics.lastUpdate = new Date();
// Additional metrics updates would go here
}
// ===== UTILITY METHODS =====
private sendToConnection(connectionId: string, message: any): void {
const connection = this.connections.get(connectionId);
if (!connection || !connection.isActive) return;
// Find the WebSocket for this connection
if (this.wsServer) {
this.wsServer.clients.forEach((ws: WebSocket) => {
if (ws.readyState === WebSocket.OPEN) {
ws.send(JSON.stringify(message));
}
});
}
}
private performHeartbeat(): void {
if (!this.wsServer) return;
this.wsServer.clients.forEach((ws: WebSocket) => {
if (ws.readyState === WebSocket.OPEN) {
ws.ping();
}
});
// Cleanup inactive connections
const now = new Date();
for (const [connId, connection] of this.connections) {
const timeSinceHeartbeat = now.getTime() - connection.lastHeartbeat.getTime();
if (timeSinceHeartbeat > this.config.websocket.heartbeatInterval * 2) {
this.handleDisconnection(connId);
}
}
}
private updateHeartbeat(connectionId: string): void {
const connection = this.connections.get(connectionId);
if (connection) {
connection.lastHeartbeat = new Date();
}
}
private handleDisconnection(connectionId: string): void {
const connection = this.connections.get(connectionId);
if (connection) {
// Clean up subscriptions
connection.subscriptions.forEach(sub => {
this.subscriptions.delete(sub.subscriptionId);
});
this.connections.delete(connectionId);
this.logger.info(`WebSocket connection closed: ${connectionId}`);
this.emit('connection:closed', { connectionId });
}
}
private handleServerError(error: Error): void {
this.logger.error('WebSocket server error:', error);
this.emit('server:error', error);
}
private extractClientId(request: any): string | null {
// Extract client ID from headers or query parameters
return request.headers['x-client-id'] || null;
}
private generateId(prefix: string): string {
return `${prefix}_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
}
// ===== PUBLIC API METHODS =====
public async stop(): Promise<void> {
if (this.wsServer) {
this.wsServer.close();
this.wsServer = null;
}
this.connections.clear();
this.subscriptions.clear();
this.isInitialized = false;
this.logger.info('Realtime Analytics Service stopped');
}
public getStatus(): any {
return {
isInitialized: this.isInitialized,
connections: this.connections.size,
subscriptions: this.subscriptions.size,
dashboards: this.dashboards.size,
insights: this.biEngine.insights.length,
performanceMetrics: this.biEngine.performanceMetrics,
};
}
public getDashboards(): KPIDashboard[] {
return Array.from(this.dashboards.values());
}
public getInsights(): BusinessInsight[] {
return this.biEngine.insights;
}
public simulateDataStream(entityType: string, serviceId: string, count: number = 10): void {
for (let i = 0; i < count; i++) {
setTimeout(() => {
const dataPoint: StreamingDataPoint = {
timestamp: new Date(),
entityType,
serviceId,
data: {
id: `item_${Date.now()}_${i}`,
value: Math.random() * 1000 + 100,
status: ['active', 'pending', 'completed'][Math.floor(Math.random() * 3)],
amount: Math.random() * 5000 + 500,
},
metadata: {
source: 'simulator',
confidence: 0.95,
processingTime: Math.random() * 100 + 10,
},
};
this.streamData(dataPoint);
}, i * 2000); // 2 second intervals
}
}
}