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🚀 Professional console log analysis & IDE integration with AI-powered insights. Completely FREE with all features: terminal monitoring, AI chat orchestrator, production analytics, localhost analysis, and Google Analytics integration. No limits, no subscr
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JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.GoogleAnalyticsIntegration = void 0;
class GoogleAnalyticsIntegration {
config;
isConnected = false;
constructor(config) {
this.config = config;
}
/**
* Initialize Google Analytics connection
*/
async initialize() {
console.log('📊 Initializing Google Analytics integration...');
if (!this.config.trackingId) {
throw new Error('Google Analytics tracking ID is required');
}
// In a real implementation, this would authenticate with Google Analytics API
// For now, we'll simulate the connection
await this.simulateConnection();
this.isConnected = true;
console.log(`✅ Connected to Google Analytics: ${this.config.trackingId}`);
}
/**
* Get real-time analytics data
*/
async getRealTimeData() {
this.ensureConnected();
// In a real implementation, this would call the Google Analytics Real Time Reporting API
return this.getSimulatedRealTimeData();
}
/**
* Get analytics metrics for a date range
*/
async getMetrics(startDate, endDate) {
this.ensureConnected();
// In a real implementation, this would call the Google Analytics Reporting API
return this.getSimulatedMetrics(startDate, endDate);
}
/**
* Get page analytics data
*/
async getPageAnalytics(startDate, endDate, limit = 10) {
this.ensureConnected();
return this.getSimulatedPageAnalytics(startDate, endDate, limit);
}
/**
* Get traffic sources data
*/
async getTrafficSources(startDate, endDate) {
this.ensureConnected();
return this.getSimulatedTrafficSources(startDate, endDate);
}
/**
* Get user behavior events
*/
async getUserBehavior(startDate, endDate, limit = 100) {
this.ensureConnected();
return this.getSimulatedUserBehavior(startDate, endDate, limit);
}
/**
* Analyze conversion funnel
*/
async analyzeConversionFunnel(funnelSteps) {
this.ensureConnected();
return this.getSimulatedConversionFunnel(funnelSteps);
}
/**
* Generate comprehensive analytics report
*/
async generateReport(startDate, endDate) {
this.ensureConnected();
console.log(`📊 Generating analytics report: ${startDate.toDateString()} - ${endDate.toDateString()}`);
const [metrics, topPages, trafficSources, conversionFunnel] = await Promise.all([
this.getMetrics(startDate, endDate),
this.getPageAnalytics(startDate, endDate, 10),
this.getTrafficSources(startDate, endDate),
this.analyzeConversionFunnel(['/', '/products', '/cart', '/checkout', '/success'])
]);
const insights = await this.generateInsights(metrics, topPages, trafficSources);
const trends = await this.calculateTrends(metrics, startDate, endDate);
return {
period: { start: startDate, end: endDate },
metrics,
topPages,
trafficSources,
conversionFunnel,
insights,
trends
};
}
/**
* Track custom event
*/
async trackEvent(event, parameters) {
this.ensureConnected();
console.log(`📈 Tracking event: ${event}`, parameters);
// In a real implementation, this would send the event to Google Analytics
// For now, we'll just log it
}
/**
* Set up enhanced ecommerce tracking
*/
async setupEcommerce() {
this.ensureConnected();
console.log('🛒 Setting up enhanced ecommerce tracking...');
// Configuration for ecommerce tracking
const ecommerceConfig = {
trackPurchases: true,
trackAddToCart: true,
trackRemoveFromCart: true,
trackCheckoutSteps: true,
trackProductViews: true,
trackPromotions: true
};
console.log('✅ Enhanced ecommerce tracking configured');
return Promise.resolve();
}
/**
* Get audience insights
*/
async getAudienceInsights(startDate, endDate) {
this.ensureConnected();
return {
demographics: {
age: [
{ range: '18-24', users: 1250, percentage: 15.2 },
{ range: '25-34', users: 2840, percentage: 34.5 },
{ range: '35-44', users: 2150, percentage: 26.1 },
{ range: '45-54', users: 1320, percentage: 16.0 },
{ range: '55+', users: 680, percentage: 8.2 }
],
gender: [
{ gender: 'Male', users: 4560, percentage: 55.4 },
{ gender: 'Female', users: 3680, percentage: 44.6 }
]
},
interests: [
{ category: 'Technology', users: 3240, percentage: 39.3 },
{ category: 'Shopping', users: 2890, percentage: 35.1 },
{ category: 'Travel', users: 1560, percentage: 18.9 },
{ category: 'Sports', users: 550, percentage: 6.7 }
],
technology: {
browsers: [
{ browser: 'Chrome', users: 5420, percentage: 65.8 },
{ browser: 'Safari', users: 1650, percentage: 20.0 },
{ browser: 'Firefox', users: 740, percentage: 9.0 },
{ browser: 'Edge', users: 430, percentage: 5.2 }
],
devices: [
{ device: 'Desktop', users: 4920, percentage: 59.7 },
{ device: 'Mobile', users: 2680, percentage: 32.5 },
{ device: 'Tablet', users: 640, percentage: 7.8 }
]
},
behavior: {
newVsReturning: [
{ type: 'New Users', users: 5890, percentage: 71.5 },
{ type: 'Returning Users', users: 2350, percentage: 28.5 }
],
sessionDuration: {
average: 185, // seconds
distribution: [
{ range: '0-10s', sessions: 1240, percentage: 15.1 },
{ range: '11-30s', sessions: 2180, percentage: 26.4 },
{ range: '31-60s', sessions: 1890, percentage: 22.9 },
{ range: '1-3m', sessions: 1650, percentage: 20.0 },
{ range: '3m+', sessions: 1280, percentage: 15.5 }
]
}
}
};
}
/**
* Ensure connection is established
*/
ensureConnected() {
if (!this.isConnected) {
throw new Error('Google Analytics integration not initialized. Call initialize() first.');
}
}
/**
* Simulate connection to Google Analytics
*/
async simulateConnection() {
// Simulate API authentication delay
await new Promise(resolve => setTimeout(resolve, 1000));
// In a real implementation, this would:
// 1. Authenticate with Google Analytics API using service account or OAuth
// 2. Validate the tracking ID and view ID
// 3. Test the connection
}
/**
* Get simulated real-time data
*/
getSimulatedRealTimeData() {
return {
activeUsers: 45 + Math.floor(Math.random() * 20),
pageviews: 120 + Math.floor(Math.random() * 50),
topPages: [
{ page: '/', users: 18 + Math.floor(Math.random() * 10) },
{ page: '/products', users: 12 + Math.floor(Math.random() * 8) },
{ page: '/about', users: 8 + Math.floor(Math.random() * 5) },
{ page: '/contact', users: 4 + Math.floor(Math.random() * 3) }
],
topCountries: [
{ country: 'United States', users: 28 + Math.floor(Math.random() * 10) },
{ country: 'United Kingdom', users: 8 + Math.floor(Math.random() * 5) },
{ country: 'Canada', users: 5 + Math.floor(Math.random() * 3) },
{ country: 'Germany', users: 3 + Math.floor(Math.random() * 2) }
],
topReferrers: [
{ referrer: 'google.com', users: 15 + Math.floor(Math.random() * 8) },
{ referrer: 'facebook.com', users: 8 + Math.floor(Math.random() * 4) },
{ referrer: 'twitter.com', users: 4 + Math.floor(Math.random() * 2) },
{ referrer: 'direct', users: 12 + Math.floor(Math.random() * 6) }
]
};
}
/**
* Get simulated metrics data
*/
getSimulatedMetrics(startDate, endDate) {
const days = Math.ceil((endDate.getTime() - startDate.getTime()) / (1000 * 60 * 60 * 24));
const baseUsers = days * (150 + Math.random() * 100);
return {
sessions: Math.floor(baseUsers * 1.3),
users: Math.floor(baseUsers),
pageviews: Math.floor(baseUsers * 2.8),
bounceRate: 0.25 + Math.random() * 0.3,
sessionDuration: 120 + Math.random() * 180,
newUsers: Math.floor(baseUsers * 0.7),
returningUsers: Math.floor(baseUsers * 0.3),
conversionRate: 0.02 + Math.random() * 0.08
};
}
/**
* Get simulated page analytics
*/
getSimulatedPageAnalytics(startDate, endDate, limit) {
const pages = [
{ path: '/', title: 'Home Page' },
{ path: '/products', title: 'Products' },
{ path: '/about', title: 'About Us' },
{ path: '/contact', title: 'Contact' },
{ path: '/blog', title: 'Blog' },
{ path: '/pricing', title: 'Pricing' },
{ path: '/features', title: 'Features' },
{ path: '/support', title: 'Support' }
];
return pages.slice(0, limit).map(page => ({
path: page.path,
title: page.title,
pageviews: Math.floor(1000 + Math.random() * 5000),
uniquePageviews: Math.floor(800 + Math.random() * 3000),
timeOnPage: 60 + Math.random() * 240,
bounceRate: 0.2 + Math.random() * 0.4,
entrances: Math.floor(500 + Math.random() * 2000),
exits: Math.floor(400 + Math.random() * 1500)
}));
}
/**
* Get simulated traffic sources
*/
getSimulatedTrafficSources(startDate, endDate) {
return [
{
source: 'google',
medium: 'organic',
users: 4210 + Math.floor(Math.random() * 1000),
sessions: 5670 + Math.floor(Math.random() * 1500),
bounceRate: 0.25 + Math.random() * 0.1,
conversionRate: 0.15 + Math.random() * 0.05
},
{
source: 'facebook',
medium: 'social',
users: 1890 + Math.floor(Math.random() * 500),
sessions: 2340 + Math.floor(Math.random() * 600),
bounceRate: 0.35 + Math.random() * 0.1,
conversionRate: 0.08 + Math.random() * 0.04
},
{
source: 'direct',
medium: '(none)',
users: 1560 + Math.floor(Math.random() * 400),
sessions: 1890 + Math.floor(Math.random() * 500),
bounceRate: 0.20 + Math.random() * 0.1,
conversionRate: 0.22 + Math.random() * 0.06
},
{
source: 'twitter',
medium: 'social',
users: 760 + Math.floor(Math.random() * 200),
sessions: 890 + Math.floor(Math.random() * 250),
bounceRate: 0.45 + Math.random() * 0.1,
conversionRate: 0.06 + Math.random() * 0.03
}
];
}
/**
* Get simulated user behavior data
*/
getSimulatedUserBehavior(startDate, endDate, limit) {
const events = ['page_view', 'button_click', 'form_submit', 'download', 'video_play', 'scroll'];
const pages = ['/', '/products', '/about', '/contact', '/blog'];
const countries = ['United States', 'United Kingdom', 'Canada', 'Germany', 'France'];
return Array.from({ length: limit }, (_, i) => ({
sessionId: `session_${Math.random().toString(36).substr(2, 9)}`,
timestamp: new Date(startDate.getTime() + Math.random() * (endDate.getTime() - startDate.getTime())),
event: events[Math.floor(Math.random() * events.length)],
page: pages[Math.floor(Math.random() * pages.length)],
properties: {
value: Math.floor(Math.random() * 100),
category: 'engagement'
},
userAgent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
location: {
country: countries[Math.floor(Math.random() * countries.length)],
region: 'Unknown',
city: 'Unknown'
}
}));
}
/**
* Get simulated conversion funnel
*/
getSimulatedConversionFunnel(steps) {
let users = 10000;
return steps.map((step, index) => {
const dropoff = 0.2 + Math.random() * 0.3; // 20-50% dropoff per step
if (index > 0) {
users = Math.floor(users * (1 - dropoff));
}
const conversionRate = index === 0 ? 1.0 : users / 10000;
const dropoffRate = index === 0 ? 0 : dropoff;
return {
step: index + 1,
name: step,
users,
conversionRate,
dropoffRate
};
});
}
/**
* Generate insights from analytics data
*/
async generateInsights(metrics, pages, sources) {
const insights = [];
// Bounce rate insight
if (metrics.bounceRate > 0.7) {
insights.push({
type: 'warning',
title: 'High Bounce Rate',
description: `Your bounce rate is ${(metrics.bounceRate * 100).toFixed(1)}%, which is higher than the typical 40-60% range.`,
impact: 'high',
recommendation: 'Improve page loading speed, content relevance, and user experience to reduce bounce rate.'
});
}
// Conversion rate insight
if (metrics.conversionRate < 0.02) {
insights.push({
type: 'opportunity',
title: 'Low Conversion Rate',
description: `Your conversion rate is ${(metrics.conversionRate * 100).toFixed(2)}%, which could be improved.`,
impact: 'high',
recommendation: 'Optimize your call-to-action buttons, improve page layout, and consider A/B testing different approaches.'
});
}
// Top performing page
const topPage = pages[0];
if (topPage) {
insights.push({
type: 'trend',
title: 'Top Performing Page',
description: `${topPage.title} (${topPage.path}) is your most popular page with ${topPage.pageviews} pageviews.`,
impact: 'medium',
recommendation: 'Analyze what makes this page successful and apply similar strategies to other pages.'
});
}
// Traffic source insight
const organicTraffic = sources.find(s => s.medium === 'organic');
if (organicTraffic && organicTraffic.users > metrics.users * 0.5) {
insights.push({
type: 'trend',
title: 'Strong Organic Traffic',
description: `Organic search drives ${((organicTraffic.users / metrics.users) * 100).toFixed(1)}% of your traffic.`,
impact: 'medium',
recommendation: 'Continue investing in SEO and content marketing to maintain this strong organic presence.'
});
}
return insights;
}
/**
* Calculate trends compared to previous period
*/
async calculateTrends(metrics, startDate, endDate) {
// Simulate previous period data (would be actual data in real implementation)
const previousMetrics = {
sessions: Math.floor(metrics.sessions * (0.8 + Math.random() * 0.4)),
users: Math.floor(metrics.users * (0.8 + Math.random() * 0.4)),
pageviews: Math.floor(metrics.pageviews * (0.8 + Math.random() * 0.4)),
bounceRate: metrics.bounceRate * (0.9 + Math.random() * 0.2),
sessionDuration: metrics.sessionDuration * (0.9 + Math.random() * 0.2),
conversionRate: metrics.conversionRate * (0.8 + Math.random() * 0.4)
};
const trends = [];
Object.keys(metrics).forEach(key => {
const current = metrics[key];
const previous = previousMetrics[key];
const change = current - previous;
const changePercent = (change / previous) * 100;
let trend = 'stable';
if (Math.abs(changePercent) > 5) {
trend = changePercent > 0 ? 'up' : 'down';
}
trends.push({
metric: key,
current,
previous,
change,
changePercent,
trend
});
});
return trends;
}
/**
* Get connection status
*/
getStatus() {
return {
connected: this.isConnected,
trackingId: this.config.trackingId,
lastSync: this.isConnected ? new Date() : undefined
};
}
}
exports.GoogleAnalyticsIntegration = GoogleAnalyticsIntegration;
//# sourceMappingURL=analytics-integration.js.map