Commit Graph

4 Commits

Author SHA1 Message Date
agessaman 07a2db4ede Slim scheduler, add maintenance module
- Introduced a new `maintenance` module to handle data retention, log rotation, and nightly email tasks.
- Updated the `scheduler` to utilize the `MaintenanceRunner` for executing maintenance tasks, improving code organization and clarity.
- Enhanced documentation to reflect changes in logging configuration and data retention processes.
- Adjusted tests to accommodate the refactored scheduler methods and ensure proper functionality.
2026-03-19 19:40:33 -07:00
agessaman 6b4e6351c4 Enhance logging configuration and documentation
- Added support for rotating log files in `core.py` using `RotatingFileHandler`, with a maximum size of 5 MB and up to 3 backup files.
- Updated `config.ini.example`, `config.ini.minimal-example`, and `config.ini.quickstart` to include descriptions of the new log rotation feature.
- Enhanced `data-retention.md` to clarify log file management and retention policies.
2026-03-08 12:41:15 -07:00
agessaman adf5bc191e Enhance stats collection for web viewer dashboard
- Updated documentation in `data-retention.md` and `web-viewer.md` to clarify how stats are collected and displayed, including the new `collect_stats` configuration option.
- Modified `StatsCommand` in `stats_command.py` to introduce `collect_stats`, allowing message and command statistics to be recorded even when the `stats` command is disabled.
- Adjusted logic in `record_message`, `record_command_stats`, and `record_path_stats` methods to utilize the new `collect_stats` setting for improved flexibility in stats tracking.
2026-03-07 13:23:37 -08:00
agessaman fcfde7ea33 Add data retention configuration and cleanup functionality
- Introduced a new `[Data_Retention]` section in `config.ini.example` to manage retention periods for various database tables, including packet stream, daily stats, and observed paths.
- Updated `mkdocs.yml` and `configuration.md` to include documentation for the new data retention settings.
- Implemented data retention cleanup methods in `mesh_graph.py`, `repeater_manager.py`, and `scheduler.py` to enforce retention policies automatically.
- Enhanced the web viewer's data cleanup logic to utilize the new retention settings, ensuring efficient database management.
2026-02-24 22:01:49 -08:00