Changes under lib/ (source):
- iemre_fetch_worker: replace `if transient_failure?/1` boolean predicate
+ `if/else` with a classifier that pattern-matches the error reason
directly, returning `:transient | :permanent`, and dispatch via
`case`. Three-clause head is clearer than the boolean predicate.
- scores_file.extract_points and nexrad_client.extract_box: force `//1`
step on the row/col comprehensions so an image box whose centre
lands outside the raster collapses to an empty iteration instead
of firing Elixir 1.19's ambiguous-range warning. Adds a regression
test for the right-edge box.
Test coverage added:
- Feature wrappers in Backtest.Features (theta_e_jump, shear_at_top,
duct_thickness, best_duct_freq, duct_usable_for_band,
distance_to_front / parallel_to_front stubs, all_features/0).
- NotifyListener handle_info tolerance for malformed payloads +
unknown messages, plus the PubSub broadcast side effect.
- Viewshed.effective_reach_km across every verdict / diffraction
tier / ducting-score tier combination.
- SnmpClient parse_af60_output unit conversions + unknown-column
handling; parse_snmpget_output OID normalisation and junk-line
tolerance.
- HrrrNativeClient native_level_count, native_variables,
native_messages shape, duct_messages / duct_byte_ranges.
- Changeset coverage for GeomagneticObservation, SolarFluxObservation,
SolarXrayObservation, Ionosphere.Observation, HrrrClimatology, and
Metar5minObservation — lifted each from ~50% / 0% to 100%.
- Property tests: GefsClient.dewpoint_from_rh invariants (Td ≤ T,
monotonic in RH, finite across the operating envelope) + idempotent
nearest_run. NexradClient.pixel_to_dbz monotonicity + bounded
output; latlon_to_pixel round-trip for every grid cell.
Also cleared several unrelated compiler/linter warnings:
- Three private test helpers (create_contact, insert_contact,
current_hour) had `\\ %{}` / `\\ 0` defaults that no caller used.
- profiles_file_test bound `dir` in a pattern match without using it.
Suite: 2,359 tests + 146 properties pass (was 2,300 / 139); coverage
70.38% → 70.89%; credo strict clean.
Telemetry puts nexrad_decode_png at 1.76 s/call × 37,847 calls/h
— ~18.5 h of CPU across the cluster every real hour, the single
biggest CPU consumer in the system. The map-click path
(fetch_rain_cells) already cached decoded frames by 5-min
bucket, but the per-contact CommonVolumeRadarWorker path
(fetch_decoded_frame) went straight to network + decode on every
call. Backfill means many contacts share a 5-min window, so the
same 66 MB frame was being decoded dozens of times.
Wire fetch_decoded_frame through NexradCache keyed on the
rounded timestamp. Add a 20-entry size cap in NexradCache so
backfill processing contacts in random timestamp order can't
grow the ETS table to hundreds of GB. Each frame is ~66 MB, so
20 = ~1.3 GB worst case, well under typical pod memory.
Expected impact: cuts sustained decode load by an order of
magnitude depending on backfill temporal locality; map-click
path is unchanged.
