- Updated `save_graph_state` in `state_manager.py` to include unit preservation for `arrow_history` and `metrics_log`, with improved data size logging and exception handling.
- Modified `notifications.css` for better mobile responsiveness, including a grid layout for `.filter-buttons` and adjusted button sizes.
- Changed value display in `initializeChart` to use 'PH' for petahashes, aligning with new unit standards.
- Ensured consistent unit formatting in `updateChartWithNormalizedData` for the 24-hour average line.
- Enhanced precision in `updateUI` for unpaid earnings display.
- Simplified y-axis label in chart configuration and updated value formatting to reflect new unit standards.
Introduce memory management configuration in `App.py` with constants for log and history limits, garbage collection intervals, and monitoring settings. Implement adaptive garbage collection, memory leak checking, and metrics recording. Modify `update_metrics_job` for adaptive cleanup and add a memory watchdog. Introduce new API endpoints for memory profiling, history, and forced garbage collection. Update `StateManager` for aggressive data pruning to optimize memory usage.
Updated the application to use a configurable timezone instead of hardcoding "America/Los_Angeles". This change impacts the dashboard, API endpoints, and worker services. Timezone is now fetched from a configuration file or environment variable, enhancing flexibility in time display. New API endpoints for available timezones and the current configured timezone have been added. The frontend now allows users to select their timezone from a dropdown menu, which is stored in local storage for future use. Timestamps in the UI have been updated to reflect the selected timezone.
