- ScoreCache stores {band, valid_time} as %{{lat, lon} => score} map so
point lookups are O(1); adds fetch_point/4 and valid_times/1
- available_valid_times/1 reads directly from ScoreCache when warm,
falls back to DB on cold start
- point_forecast/3 iterates cached valid_times and uses fetch_point/4
instead of hitting the DB per click
- NexradCache: node-local ETS cache of decoded n0q PNG pixel buffers
keyed by 5-minute rounded timestamp; skips ~1-5s HTTP+decode on
concurrent/repeat clicks within the same window
- MapLive: start_async the rain_scatter fetch so point_detail renders
immediately with a pending marker; push rain_scatter_update when
NEXRAD resolves
- MapLive: preload all 18 remaining forecast hours for the current
viewport after mount/band change/propagation_updated; client caches
them and renders timeline scrubs instantly without a server roundtrip.
Adds set_selected_time event for fast-path state sync.
- Propagation map JS: forecastCache map + drawScatterMarkers helper,
timeline click uses preloaded cache when available
- Add ScoreCache GenServer with node-local ETS table keyed by
{band, valid_time}, subscribed to "propagation:cache" PubSub topic so
every pod stays in sync with a single hourly compute
- scores_at/3 checks cache first, falls back to DB and populates on miss
- PropagationGridWorker warms and broadcasts the cache for each band
after every forecast hour upsert; prunes >2h old entries
- Replace per-pixel string-keyed Map with flat Int8Array over the CONUS
grid in propagation_map_hook.ts to eliminate allocations in the tile
rasterization hot loop (interpolateScore / propagationReach)
New BandConfig entries for 902, 1296, 2304, 3456, 5760 MHz:
- All beneficial humidity effect (like 10 GHz)
- Near-zero gaseous absorption and rain attenuation
- Ranges: 902 MHz typical 400 km, 5760 MHz typical 220 km
- Same seasonal curves as 10 GHz (ducting-driven)
BandConfig.band_options/0 generates dropdown options from configs.
All pages (path, rover, submit) use centralized band_options instead
of hardcoded lists. Map page already used BandConfig.all_bands().
10 GHz remains the default on all pages.
ML Integration:
- Load trained model at app startup, cache compiled predict fn in persistent_term
- Grid worker uses batched ML prediction (10K chunks) when model loaded,
falls back to algorithm scorer when not
- ML score replaces composite, algorithm factor scores preserved for detail view
- Fix process explosion: single EXLA call per chunk instead of per-grid-point
QSO Features:
- Callsign search (ILIKE on station1/station2) with trigram indexes
- Reciprocal QSO grouping (same pair, same band, same hour)
- Wider layout (max-w-7xl) for data table pages
- QSO Training Data link on map page
Infrastructure:
- Re-enable hourly propagation grid worker in dev
- Track ML model weights in git for Docker builds
- Add btree indexes on qsos (timestamp, band, distance_km)
- Remove nav icons from layout header
Score time-of-day per grid point using longitude/15 solar offset instead of
hardcoded CST/CDT. Add PWAT as 10th scoring factor. Refine pressure thresholds.
Update ML model and training pipeline to use local solar time.
Vendor Leaflet 1.9.4 (JS, CSS, marker images) and wire it into
the esbuild/Tailwind asset pipeline. Create MapLive with band
selector buttons, auto-refresh, and a colocated JS hook that
renders propagation scores as color-coded circle markers with a
legend. Stub Propagation context and BandConfig modules provide
the data interface for the scoring pipeline.
Add nav bar with links to Map, QSOs, and Submit pages.
