This module provides comprehensive functionality for storing, retrieving, and analyzing
Spotify listening statistics. It serves as the data persistence layer for all metrics
related to playback behavior, skip patterns, and listening habits.
Features:
Persistent storage of all listening statistics and metrics
Data normalization and integrity preservation
Comprehensive pattern analysis algorithms
Time-based aggregation (daily, weekly, monthly)
Artist and track-level metrics
Device usage analytics
Skip pattern detection and classification
Context-aware listening analysis
Temporal behavior modeling (time of day, day of week)
Session tracking and analysis
Data import/export capabilities
The module ensures proper data serialization/deserialization, handling specialized
data structures like Sets appropriately for storage. It includes validation and
repair mechanisms to maintain data integrity across application restarts.
This serves as the foundation for all data visualization and insights presented
in the application's statistics dashboard.
Description
Statistics Storage and Analysis Module
This module provides comprehensive functionality for storing, retrieving, and analyzing Spotify listening statistics. It serves as the data persistence layer for all metrics related to playback behavior, skip patterns, and listening habits.
Features:
The module ensures proper data serialization/deserialization, handling specialized data structures like Sets appropriately for storage. It includes validation and repair mechanisms to maintain data integrity across application restarts.
This serves as the foundation for all data visualization and insights presented in the application's statistics dashboard.