Commit Graph
6 Commits
Author SHA1 Message Date
agessaman 7e3ab04b53 feat(web-viewer): rebuild dashboard on a background snapshot
The landing page re-ran ~50 aggregate queries five times per load, then
repeated the whole sequence every 30 seconds forever — including in
backgrounded tabs. Against the live 1.44 GB database that was roughly 20
seconds of SQLite work per page load.

Move the work off the request path. A refresher thread in the viewer
process (which already runs migrations, so it works for a split-DB
install) writes two tables: daily_rollup, one row per local date, and
dashboard_snapshot, a single JSON row. A page load now reads one row.

Measured on the live database: first paint 6 requests -> 2,
/api/dashboard/summary p50 1.1 ms (304 in 0.8 ms), /api/stats 130 ms,
and a 0.32 s refresh once a minute in the background.

Make the numbers mean what they say:

- Window selectors are built from each source's retention. The page
  offered "30d" and "All" against tables pruned at 7 days, so three of
  four choices returned the same figure under a label that denied it.
- The incoming-packet chart reports its measured window instead of
  claiming 7 days for a table pruned at 3 — it sat beside a genuine
  7-day contacts chart inviting an invalid comparison.
- Days with no source data store NULL and render as gaps. Writing 0
  would put a fake cliff at every retention boundary.
- Signal metrics are stored as sums and counts, never means, so any
  window re-aggregates correctly.
- Delta chips compare the last two complete calendar days and say so;
  the headline above them is a rolling 24 hours.
- Unmapped role ordinals (type0..type15) bucket into "Unknown".
- SNR comes from message_stats, where it is populated on every row, not
  from complete_contact_tracking, where it is populated on 7%.

Kill the json_extract scans: packet_stream gains denormalized
route_type_name, payload_type_name, path_len and bytes_per_hop, written
at capture time. Aggregating those from JSON cost 3-6 s per query.
Existing rows convert a bounded batch per tick rather than in one
migration that would rewrite ~180 MB into the WAL and stall bot startup.
A partial index serves as the backfill worklist — without it the "any
rows left?" probe is a full scan costing 4.6 s per tick, and it costs
that after the backfill finishes, because finding nothing still means
reading everything.

Also: replace the per-contact hop-prefix scan with the existing bucketed
matcher and memoize the 7-day chunk set (264 ms -> 35 ms on a synthetic
100k-row database, regression-locked by a test); move the dashboard's JS
and CSS to static files, which removes the CSP nonce requirement for the
bulk of the page; and give cleanup_old_stats a future-timestamp guard,
without which rows dated 2103 are never older than the cutoff and so
live forever.

Deletes the orphaned /stats page, unreachable from the nav and rendering
stub charts that never populated. /api/stats stays as a shim with every
key name intact plus Deprecation and Sunset headers.

All schema changes are additive, so a downgraded codebase can read the
data; it would however need the new schema_version rows removed, since
MigrationRunner rejects versions it does not know.
2026-07-29 21:56:09 -07:00
agessaman b59fa9cec9 feat(config, docs): enhance rain command and stats collection configuration
- Updated the `[Rain_Command]` section in `config.ini.example` to include support for snow alongside rain, improving the command's functionality.
- Enhanced documentation for the rain command to reflect the new snow alias and clarify response behavior based on the selected keyword.
- Added a new `collect_stats` option in the `[Stats_Command]` section, allowing stats collection to be enabled independently of the user-facing command, with updated documentation to explain its behavior.
- Improved the web viewer documentation to clarify how stats are collected and displayed, ensuring users understand the configuration options.
2026-06-28 13:28:23 -07:00
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