Module tracks-store

Description

Skipped Tracks Data Management System

Comprehensive solution for tracking, analyzing, and storing user listening behavior with special focus on skipped tracks and completion patterns.

Key capabilities:

• Persistent storage of skip history with timestamps
• Track completion tracking for skip/listen ratio analysis
• Temporal analysis of listening patterns over time
• Artist and genre correlation for skip behavior
• Time-based filtering for relevant recent data

The module maintains detailed statistics per track:

• Skip counts and timestamps for pattern detection
• Complete play counts for skip ratio calculation
• Last skipped time for recency analysis
• Track metadata (artist, album, name) for reporting

This data forms the foundation for the application's statistical analysis and insight generation, helping users understand their listening patterns.