The commit introduces a new plot function that visualizes user growth data using matplotlib. It creates a line chart with dates on the x-axis and user counts on the y-axis, including axis labels, a title, and a grid for improved readability. The plot is saved to a PNG file for documentation purposes.
The README now includes a brief overview of the project's purpose, prerequisites for running the application, and step-by-step installation commands for new contributors.
Implement a new session statistics module that records session duration, completion rates, and user engagement metrics. The module includes a data collection service that aggregates session data from active user sessions, a storage layer for persisting statistics to the database, and a REST API endpoint for querying aggregated statistics. Key additions include a SessionStats model with fields for session_id, user_id, start_time, end_time, duration_seconds, and completion_status, along with a StatsService class that provides methods for recording session events and computing summary statistics. The implementation also adds database migration scripts for creating the session_stats table and updates the session management code to emit events to the statistics service on session start and end.
