Commit graph

9 commits

Author SHA1 Message Date
a24ce027f4 Fix /weather 500 on cold cache, untrack k8s secret
The /weather LiveView was timing out on pod restart because
latest_weather_grid/1 ran load_weather_grid_from_db/1 synchronously on
cache miss — that query reads 176k hrrr_profiles rows with two huge
JSONB columns (profile array + duct_characteristics), and JSONB
decoding blocked the LiveView process past the 15-second pool
ownership timeout.

On cache miss latest_weather_grid/1 now returns empty immediately and
kicks off a deduped background fill through GridCache.claim_fill/1 (a
per-valid_time ETS lock so N concurrent mounts after restart don't each
fire the slow query). When the fill completes it broadcasts
weather:updated, and the handle_info in WeatherMapLive hits the warm
cache and pushes rows over the socket.

Added load_weather_grid/1 as a synchronous sibling for tests and any
caller that genuinely needs inline data. Tests updated to use it and
to clear GridCache in setup so ETS state doesn't leak between cases.

Also untrack k8s/secret.yaml and add both it and k8s/*-secret.yaml to
.gitignore — those manifests hold plaintext SMTP and database
credentials that should not live in the repo. Secrets already in git
history should be rotated separately.
2026-04-12 13:56:59 -05:00
c6bf333c98 Add dialyxir for static analysis
PLT stored in priv/plts/ (gitignored). Run with `mix dialyzer`.
2026-04-11 17:43:18 -05:00
ddf86ed806 Add mix era5_backfill task and gitignore .envrc
Enqueues ERA5 fetch jobs for contacts where HRRR is unavailable.
Deduplicates by rounded grid point and hour, skips existing profiles.

Usage: mix era5_backfill [limit]
2026-04-07 12:24:18 -05:00
5fe005e0b2
Add *.psql to gitignore 2026-04-02 09:39:16 -05:00
02cb4fd67b
Integrate ML model into grid worker, QSO search, and UI improvements
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
2026-04-01 10:14:22 -05:00
8949920b7f
Add Nx/Axon/EXLA ML model skeleton for propagation prediction
13-feature feed-forward network (atmospheric + temporal + frequency).
Includes build, init, predict, encode_features, save/load to disk.
Model weights saved to priv/models/propagation_v1.nx (gitignored).
Not yet trained — scaffolding only.
2026-03-31 16:26:34 -05:00
2bd0438295
Add .worktrees to gitignore 2026-03-30 16:39:12 -05:00
5a9359191f
Replace wgrib2 with pure Elixir GRIB2 decoder for HRRR pipeline
Eliminates the external wgrib2 C tool dependency that blocked HRRR
processing. Implements Lambert Conformal projection, simple packing
(Template 5.0), complex packing with spatial differencing (Template 5.3),
and GRIB2 section parsing — enough to extract point values from HRRR
grid data using only Elixir.
2026-03-29 18:43:43 -05:00
bc674f0d54
initial 2026-03-28 11:28:47 -05:00