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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.
18 lines
652 B
JSON
18 lines
652 B
JSON
{
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"name": "meshcore-bot-frontend",
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"version": "0.0.1",
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"private": true,
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"description": "Frontend linting for meshcore-bot web viewer templates",
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"scripts": {
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"lint:html": "htmlhint \"modules/web_viewer/templates/**/*.html\"",
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"lint:js": "eslint \"modules/web_viewer/templates/**/*.html\" modules/web_viewer/static/js/dashboard.js modules/web_viewer/static/js/channel_operations.js",
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"lint:frontend": "npm run lint:html && npm run lint:js",
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"test:contacts": "node --test tests/js/contacts_manager.test.mjs"
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},
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"devDependencies": {
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"eslint": "^8.57.0",
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"eslint-plugin-html": "^8.1.1",
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"htmlhint": "^1.1.4"
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}
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}
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