Add comprehensive group analyzer export functionality to analytics system

[Copilot]

This PR implements a complete group analyzer export system for the SafeDose analytics infrastructure, enabling data analysis grouped by user segments with comprehensive export capabilities.

Overview

The analytics system now supports exporting user behavior data grouped by four distinct user segments:

• Healthcare Professional: Licensed healthcare professionals
• Cosmetic User: Users focused on cosmetic applications
• Personal Medical User: Personal medical use cases
• General User: Default segment for all other users

New Features

Core Export Functions

• logAnalyticsEventWithStorage() - Enhanced logging function that stores events for export while maintaining regular analytics logging
• exportGroupedAnalytics() - Export analytics data grouped by user segments with optional date range filtering
• exportAnalyticsAsCSV() - Export analytics data in CSV format for spreadsheet analysis
• exportAnalyticsSummary() - Generate summary reports with top events and metrics per segment
• clearAnalyticsStore() - Utility for clearing stored data (testing/maintenance)

Constants and Types

• USER_SEGMENTS - Consistent constants for user segment identification
• AnalyticsEventData - TypeScript interface for event data structure
• GroupedAnalyticsData - TypeScript interface for grouped export data

Usage Examples

// Enhanced logging with storage for export
logAnalyticsEventWithStorage(
  ANALYTICS_EVENTS.SCAN_ATTEMPT,
  { method: 'camera' },
  USER_SEGMENTS.HEALTHCARE_PROFESSIONAL,
  'user_123'
);

// Export all data grouped by segments
const allData = exportGroupedAnalytics();

// Export data for specific date range
const monthlyData = exportGroupedAnalytics(
  new Date('2024-01-01'),
  new Date('2024-01-31')
);

// Export as CSV for external analysis
const csvReport = exportAnalyticsAsCSV(monthlyData);

// Generate summary report
const summary = exportAnalyticsSummary();

Technical Implementation

• Data Storage: In-memory storage of analytics events with metadata for export functionality
• Grouping Logic: Events are grouped by user segment with automatic fallback to general_user
• Date Filtering: Optional date range filtering for time-based analysis
• User Counting: Tracks unique users per segment using Set data structures
• CSV Export: Structured CSV output with headers for easy import into spreadsheet applications

Testing & Documentation

• Comprehensive test suite covering core export logic (avoiding Firebase dependencies)
• Updated analytics implementation documentation with usage examples
• API documentation for all new functions and interfaces

Benefits

This implementation enables:

• Segment Analysis: Understanding usage patterns across different user types
• Data Export: Easy export to external tools for deeper analysis
• Trend Monitoring: Date-range filtering for temporal analysis
• Reporting: Summary reports with top events and user metrics per segment

Fixes #286.

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Name	Status	Preview	Comments	Updated (UTC)
safe-dose	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Jun 10, 2025 7:43am