Three UI fixes:
1. MapLive now ticks every 60s and, when the selected_time is still
the "Now" slot, advances to the newer latest-past-or-now hour as
the clock crosses into it. The URL is patched in place so shared
links stay accurate without polluting history. Manually picking a
specific past/future hour turns tracking off.
2. point_forecast/3 now reads its valid_times list straight from the
on-disk .ntms files (same source the main-map timeline uses), then
consults the cache per-hour for a fast score lookup. The old cache-
or-store branch could leave the click-to-detail sparkline at 13
hours while the bottom timeline showed 14+; both now line up.
3. Point-detail panel moves from bottom-14 → bottom-24 on desktop so
its lower edge clears the forecast-timeline bar (+ max-height tuned
to match), fixing the overlap visible in screenshots.
Four changes sized by measured prod telemetry (83m of spans):
1. propagation queue: 2 → 1 slot per pod. Two concurrent forecast-hour
steps per pod stacked HRRR grid + native duct grid + scored band
map into ~5-6 GiB RSS, OOM-killing every ~15 min. 3-way parallelism
cluster-wide still finishes the chain inside the hourly interval.
2. weather queue: 3 → 1 slot per pod. ASOS backfill was 429-thrashing
IEM (1,296 retryable jobs; logs were nothing but 429 backoffs).
3. PropagationGridWorker: skip native-level duct fetch on f01..f18.
At ~7-11 min/fh and 18 forecast hours, this was the largest single
cost per chain. Forecast hours fall back to
derived[:min_refractivity_gradient] from the pressure-level
profile. f00 still gets full native-level duct analysis.
4. HrrrClient.download_grib_ranges_to_file: parallelize with
Task.async_stream (max_concurrency 8). The file-backed variant was
sequential, dominating native-duct fetch time on the remaining f00
path. ~20s → ~3s per call.
The :score_band span was reading point_count via length(grid_data),
but grid_data is a %{{lat, lon} => profile} map. Every forecast-hour
job was crashing with ArgumentError before any scores landed, leaving
the map without current-hour forecasts. Swap to map_size/1.
Two wins on the hourly propagation pipeline:
1. Parallelize the chain. seed_chain was enqueuing only f00 and
each step self-enqueued f00+1, serializing ~2.5 min × 19
forecast hours into a ~48 min chain. Fan out all 19 jobs at
once — they're genuinely independent (different HRRR URLs,
different output files) — and let queue concurrency (2 slots
× 3 pods = 6 parallel workers) drop wall time to ~10 min.
Side effect: one permanently-failing step no longer takes out
the rest of the chain, so the rescue-chain logic I added last
commit becomes unnecessary. Removed.
The :final cleanup (retain_window + purge) used to run on the
fh=18 transition; with parallel execution we don't know which
step finishes last. Cleanup now relies on the existing
PropagationPruneWorker 15-min cron for time-based pruning.
Stale chain leftovers are already a minor concern with the
15-min prune; if file bloat becomes real, PruneWorker can
gain retain_window later.
2. Hoist band-invariant factors. score_time_of_day, score_sky,
score_wind, score_pressure depend on conditions only, not the
band — but composite_score was recomputing them 17 times per
point. Added Scorer.precompute_band_invariants/1, called once
per point before the bands loop; composite_score uses the
cached values when present and falls back to computing for
any caller that doesn't pre-warm (test harness, path
integrator). Saves ~30% of the scoring inner loop.
Telemetry showed ~66 PropagationGridWorker exceptions per 6h with
55 ArgumentErrors and 11 TimeoutErrors, producing ~13 discarded
chain steps. Each discard broke the chain: subsequent forecast
hours were never enqueued, leaving the score store with huge gaps
(e.g. at 14:11 UTC the earliest available forecast was 18:00,
because f00-f05 all failed somewhere upstream and nothing ran
after them).
Three changes:
1. PropagationGridWorker: on the final attempt, still enqueue
fh+1 even when this step failed. Oban discards the current
job normally — but the rest of the chain keeps running, so
one bad hour doesn't take out the remaining 12-18. The
rescue is factored into a tested public helper.
2. HrrrClient.parse_idx: skip malformed idx lines instead of
raising. NOAA S3 occasionally serves an HTML error page as
the idx body, and the old strict String.to_integer path
raised ArgumentError on the first non-numeric line and took
down the chain step. This is the root cause of the 55
ArgumentErrors.
3. JS renderTimeline: when no forecast hour is at-or-before
wall-clock (all times are future — the gap scenario the
fixes above are designed to prevent), stop labeling the
earliest future slot "Now". Lets the user see honest
"+Nh" offsets instead of a lie on the pill.
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.
The main map page now reads band, selected time, and map
center/zoom from URL params and updates the URL as the user pans,
zooms, picks a band, or scrubs the timeline. Pan/zoom use
push_patch replace-mode so browser history isn't spammed, while
band and time changes push fresh entries.
Also fix the 'Up to date · just now ago' pipeline chip — 'just
now' already reads as an instant so the trailing 'ago' is
redundant. Any older duration keeps it.
The :propagation queue (2 slots) is shared by PropagationGridWorker,
MrmsFetchWorker (every 2 min), and PropagationPruneWorker (every
15 min). Oban dispatches priority-then-FIFO, so a post-deploy
MRMS/prune backlog could delay the hourly chain step until the
siblings drained.
Set PropagationGridWorker priority: 0 explicitly and drop the two
siblings to priority: 5 so new chain steps always jump ahead.
Backfill workers live on separate queues (:hrrr, :weather, :terrain,
:iemre, :narr, :radar, :mechanism) and already don't interact with
the predictor.
- Remove the 7-day outlook strip and daily_outlook_at/3. It was
derived from point_forecast, which is capped at HRRR's 18-hour
horizon, so it never had 7 days of data to show.
- factors_for: fall back to the nearest persisted analysis profile
at or before the requested time. Only f00 hours persist profiles,
so clicking any other hour used to yield an empty Analysis and
factor table. After the recent cursor fix lands 'Now' on a
forecast hour more often, this regressed further.
- available_valid_times/1: cap the forward horizon to 18h from now.
Leftover valid_times from prior cycles used to pile on the
timeline without adding information.
Contacts can be marked private at submit time (single form, CSV
import, ADIF import) and edit time. Private contacts are hidden
from the public map, the public /u/callsign profile, and the
browse table for anonymous and non-owning viewers. The original
submitter and admins see them inline on the browse table with a
"Yes" badge, and the detail page shows a lock icon. Non-authorized
viewers get a 404 on the detail page.
Adds spans to 15 previously-unmeasured hot paths so every question we
might ask while tuning has a histogram to answer it:
External I/O:
- iem.fetch_iemre (gridded weather reanalysis)
- mrms.list_latest / mrms.download (precip radar)
- rtma.fetch_observation
- ncei.fetch_metar (historical 5-min METAR backfill)
- solar.fetch_indices (GFZ solar indices)
- swpc.fetch (SWPC Kp/F10.7/X-ray)
- giro.fetch (ionosonde)
- qrz.request, geocoder.geocode (callsign enrichment)
- srtm.download_tile (terrain tile download + gunzip)
- hrrr.download_grib_ranges (parallel byte-range fetch phase)
Subprocess:
- wgrib2.extract_grid / extract_grid_from_file / extract_grid_from_file_mapped
LiveView hot paths:
- propagation.scores_at (map score fetch + cache hit/miss counter)
- propagation.point_forecast (sparkline)
- propagation.point_detail (click-to-inspect)
- propagation.daily_outlook_at (/map outlook strip)
Worker-level end-to-end:
- worker.terrain_profile
- worker.mechanism_classify
- worker.mrms_fetch
Each event is registered in Microwaveprop.PromEx.InstrumentPlugin as
a Prometheus histogram (default / long buckets as appropriate) plus
a counter for the scores_at cache hit/miss ratio. Prometheus at
10.0.15.25 will start seeing the new series on the next scrape after
deploy.
Wires PromEx with its built-in Application / BEAM / Phoenix / Ecto /
Oban plugins plus a custom `Microwaveprop.PromEx.InstrumentPlugin`
that registers Prometheus histograms for every
`Microwaveprop.Instrument` span (HRRR/NEXRAD/IEM/GEFS/NARR/UWYO
/Elevation fetches, DB batch upserts, terrain analysis, radar
aggregation, propagation score band). Queue-depth gauges from the
10-second poller land at `microwaveprop_oban_queue_count{queue,state}`.
Router forwards `/metrics` to MicrowavepropWeb.MetricsPlug which
optionally requires a bearer token (`PROMETHEUS_AUTH_TOKEN` env var in
runtime.exs); leave it unset to expose metrics publicly and restrict
at the ingress / Cloudflare Access layer instead.
Example external Prometheus scrape config:
scrape_configs:
- job_name: microwaveprop
scrape_interval: 30s
metrics_path: /metrics
scheme: https
authorization:
type: Bearer
credentials: <token>
static_configs:
- targets: ['prop.w5isp.com:443']
Previously the CommonVolumeRadarWorker ran silently — no URL logged,
no sign in the logs that it was doing any work. Added info-level
fetch/ok/error logs in NexradClient (same shape as WeatherFetchWorker
RAOB logs) plus start-of-work + ingestion lines in the worker itself.
Unchanged: the existing "no frame" warning and all control flow.
Contact detail now searches for soundings in progressively wider radii
(150 → 300 → 600 → 1000 km) before declaring "No soundings found".
When even 1000 km turns up nothing, enqueue WeatherFetchWorker RAOB
jobs for every station at the widest non-empty radius. The worker
passes the contact_id through so it can PubSub back to
contact_enrichment:<id> as each sounding lands, and the LiveView
rehydrates without a refresh.
Also adds Weather.soundings_with_widening_radius/1 and
ContactWeatherEnqueueWorker.enqueue_raob_fetch_with_widening/1 so the
same logic can be reused from other callers.
Add Microwaveprop.Format.distance_km/1 and a matching formatDistanceKm
helper for the JS side. Both emit "X mi (Y km)" with one decimal under
10 mi and whole numbers above.
Replace the ad-hoc format_dist/format_km_mi helpers with the shared
formatter and update every user-facing distance render: contact
detail, contacts index column, user profile contact/involving tables,
path finder summary + sounding list, contacts map line popups, beacon
coverage tooltip, and propagation map range estimate + rain scatter
cell popup.
Add optional height1_ft/height2_ft to contact schema, submit form, and
edit form (direct + suggest-edit paths). Heights flow through to the
elevation-profile terrain analysis so clearance and diffraction are
computed from the actual antenna height instead of a 10-ft default.
Editing heights resets terrain_status and re-enqueues
TerrainProfileWorker so the stored path analysis picks up the new
geometry.
Also fix mark_likely_duct/3: the pattern was grabbing the element
instead of the index, so no duct ever got flagged as the likely
propagation path even when extract_ducts returned a valid layer.
Adds a compact seven-card horizontal strip to both mobile and desktop
map sidebars showing the per-day peak score at the viewport center
for the selected band. Cards are color-coded (emerald for 80+,
rose for bad) so the weekend verdict reads at a glance.
- Propagation.daily_outlook_at/3: groups point_forecast entries by
UTC date, picks each day's peak, returns ascending order
- MapLive mounts with today's outlook for the initial center; the
select_band handler refreshes it from the viewport midpoint so the
strip tracks the user's current band and rough location
- Empty-state message covers the case where no extended-horizon
scores have landed yet (fresh deploy, or before the first GEFS
run completes)
This is the consumer of the GEFS pipeline — once the cron starts
running and f024-f168 scores accumulate, days 2-7 of the strip
populate automatically.
Wires the GEFS fetch pipeline into the existing scoring machinery:
- GefsFetchWorker runs Propagation.score_grid_point over every
fetched grid cell and persists the result via replace_scores/2, so
Day 2-7 valid_times show up on the map through the same
Propagation.scores_at/3 path HRRR uses
- Empty-args perform/1 seeds the chain by enqueueing f024-f168 (25
jobs at 6-hour cadence) for the most recent GEFS run that should
be published given NOMADS' ~3-4h publication lag
- Cron: seeds at 05:30, 11:30, 17:30, 23:30 UTC — 5 hours after each
00/06/12/18Z run
- GefsClient.build_profile now emits :wind_u / :wind_v atom keys to
match the scorer's input shape; DB columns keep the *_mps suffix
for unit clarity, remapped at write time
GEFS pgrb2a lacks HPBL, native-level duct data, NEXRAD, and
commercial-link degradation — the extended-horizon score is a
rougher signal than the HRRR-driven one but covers the window HRRR
can't reach.
- GefsClient.build_profile/1: converts raw wgrib2 output into the
scorer-shaped profile, deriving Td from RH via Magnus at both the
surface and each pressure level
- GefsClient.fetch_grid_profiles/3: downloads the idx sidecar from
NOMADS, byte-ranges only the surface messages, hands the slim
GRIB2 binary to wgrib2 -lola for bilinear regridding from 0.5°
onto the CONUS 0.125° grid
- GefsFetchWorker: one Oban job per (run_time, forecast_hour),
upserts into gefs_profiles and runs SoundingParams.derive so the
same refractivity/ducting metrics flow through
Oban gets a new :gefs queue (2 slots dev/config, 1 slot per prod
pod). Test env gets a gefs_req_options Req.Test stub slot so future
integration tests can drive the full fetch path. No cron wiring or
scorer integration yet — that's Step 3.
Lays the groundwork for a Day 2-7 propagation outlook driven by NCEP
GEFS ensemble-mean output, picking up where HRRR's 18-hour horizon
leaves off.
- GefsClient: NOMADS URL builder, forecast-hour list (3h to +240,
6h to +384), ensemble-mean message inventory, and a Magnus
dewpoint derivation (pgrb2a publishes RH rather than Td)
- gefs_profiles table + GefsProfile schema mirroring hrrr_profiles
so the scorer can run over rows from either source
- Weather.upsert_gefs_profile/1 and upsert_gefs_profiles_batch/1
No worker or UI yet — those land in follow-up commits.
Added 5-arity Scorer.score_refractivity/5 that takes bulk_richardson
alongside best_duct_band_ghz. The existing 1.15× boost now only
applies when Richardson is in the stable regime (< 25) — native-
profile duct cells average 8.7-18.4 for ducting vs 38.3 for
non-ducting, so a duct-band reading under turbulent conditions is
more likely to be torn up by mechanical mixing than to carry a
beyond-LOS signal.
Wiring:
- Weather.nearest_native_duct_info/3 returns {ghz, richardson}; the
bare nearest_native_duct_ghz/3 now delegates.
- PathLive and Propagation.score_with_algorithm/7 both pull the
Richardson value into the conditions map alongside best_duct_band.
- Scorer.composite_score/2 reads conditions[:bulk_richardson] and
passes it into score_refractivity/5.
- Backward compat: 4-arity variant and nil Richardson keep the old
unconditional-boost behaviour so existing callers don't regress.
Path calculator conditions map was missing :latitude and
:best_duct_band_ghz. Scorer read them with bracket-notation so the
behaviour was defensively correct but we were leaving signal on the
floor:
- latitude: midpoint of src/dst so `score_season` picks up the right
latitude-based seasonal shift for northern vs southern paths
- best_duct_band_ghz: queried via new Weather.nearest_native_duct_ghz/3
at the midpoint so score_refractivity/4 applies the 1.15× boost
when a native-resolution duct supports the target band
Recalibrator.fit/1 was serialising ~10k per-contact HRRR lookups
(5000 positives + 5000 negatives, one Weather.find_nearest_hrrr each).
Parallelised both sides with Task.async_stream at 20 concurrency —
well under the prod db pool of 30. Cuts a band recalibration from
~minutes of query round-trips to seconds.
Audit pass found two real issues (most agent-flagged items were false
positives — the hrrr_native_profiles composite index exists,
pwat_mm/bl_depth_m are already in the path conditions map, and the
/1.0 in MechanismClassifier is the standard Elixir int→float coerce).
1. Path calculator's 9-point HRRR sampling was running sequentially,
~9× the latency of a single query. Task.async_stream with
max_concurrency: 9 makes them concurrent so path calc pays roughly
one query's worth of time instead of nine.
2. MechanismClassifyWorker's meteor-shower window used hardcoded 2024
peak dates with `%{date | year: peak.year}` projection. That broke
across year boundaries — a Dec 30 contact couldn't match a Jan 4
Quadrantids peak even in-range of the ±3 day window. Switched to
{month, day} tuples and check the peak projected onto year N-1, N,
N+1 so the window works correctly near Dec 31 / Jan 1.
Spatial + temporal nearest-RAOB lookup (defaults to 300 km / ±3 h)
joining weather_stations → soundings. Returns the full sounding row
so callers can read the derived ducting_detected / min_refractivity_
gradient fields that HRRR's pressure-level product systematically
under-reads for thin surface ducts.
Prep for the path-calculator enrichment: a sounding within range at
the path midpoint gives an independent duct signal to cross-check
the nine HRRR samples already taken along the path.
Classifies every contact's likely non-LOS propagation mechanism and
persists the result on contacts.propagation_mechanism. Mechanism is
determined in priority order:
1. user_declared_prop_mode (ADIF PROP_MODE from the operator log)
2. EME — moon-ephemeris check, ≥2m band, >1800 km path
3. aurora — Kp≥5 + high-lat path, 50-432 MHz
4. sporadic-E — foEs × 5 ≥ band_mhz, 400-2500 km path
5. meteor_scatter — ±3 days of a shower peak, VHF/UHF
6. rain_scatter — common-volume radar heavy rain, 5-11 GHz ≤800 km
7. tropo_duct — HRRR native_best_duct ≥ band or ducting_detected
8. line_of_sight — ≤50 km path
9. troposcatter — default
Persisted via MechanismClassifyWorker (queue: :mechanism, unique on
contact_id). Submit-time enqueue path includes :mechanism by default;
BackfillEnqueueWorker cron now handles :mechanism alongside existing
types so prod continuously backfills any contact with
propagation_mechanism_status in (:pending, :queued, :failed). Also
added :radar to the cron's type list so common-volume radar backfill
runs automatically rather than only via `mix radar_backfill`.
New modules:
- Microwaveprop.Propagation.MoonEphemeris — Meeus low-precision moon
position, accuracy ±1° — enough for the mutual-visibility EME test
- Microwaveprop.Propagation.MechanismClassifier — plug-in priority
chain over the evidence map
- Microwaveprop.Workers.MechanismClassifyWorker — assembles inputs
from HRRR / native profiles / common-volume radar / solar_indices /
ionosonde + calls the classifier
ADIF importer now reads PROP_MODE into user_declared_prop_mode so
operator-tagged mechanisms (EME/ES/MS/RS/AS/AUR) become ground truth.
Ran recalibrate_algo.py against the full local prop_dev (81,994 contacts,
18.6M HRRR rows) and derived per-band composite weights for the nine
bands with >=200 matched contacts. Moisture (dewpoint/PWAT/surface N)
is consistently beneficial through 5.76 GHz, reverses at 24 GHz; rain
scales sqrt(rain_k) not linearly so 24 GHz gets 0.215 rain weight
instead of the linear-ratio 0.95. 10 GHz stays as the reference band
(defaults); 47+ GHz inherits defaults (n<200).
- BandConfig.weights/1 returns per-band override or default fallback
- @band_configs carries :weights on 222/432/902/1296/2304/3400/5760/24G
- Recalibrator.compute_factors/3 + fit(band_mhz:) band-aware fitting
- Scorer + ContactLive.Show pass band_config to weights/1
- algo.md Part 2d documents the 2026-04-18 analysis + derivation rule
- scripts/derive_band_weights.py turns correlations into weight maps
- report preserved at docs/algo-reports/2026-04-18-recalibration.md
Add a propagation_run_timings table so the wall-clock duration of each
(run_time, forecast_hour) step is queryable long after the run is over.
Keyed by (run_time, forecast_hour) with a status column that captures
whether the step succeeded or bailed out, and an error string on
failure.
PropagationGridWorker stamps every step (ok and failed) via
Propagation.record_run_timing/1. Timing inserts are wrapped in rescue +
changeset-error handling so the instrumentation can never brick the
chain.
Add a "Forgot your password?" flow off the login page. A 24-hour
reset_password token is emailed on request, the landing page lets the
user pick a new password, and all other tokens for the user are
revoked on success.
The request endpoint returns the same flash regardless of whether the
email matches a user so that attackers can't enumerate accounts.
Docker final stage bakes BUILD_TIMESTAMP into /app/BUILD_TIMESTAMP via
build-arg (only consumed after mix compile, so earlier layer caching is
preserved). Application.build_timestamp/0 reads the file, falls back to
DEPLOY_TIMESTAMP env, then to compile time. Navbar renders a compact
"Deployed Xm ago" with the full UTC time in the tooltip.
Both workers had unique: [period: 300] which only dedupes within a
5-minute window. Re-running the enrichment-enqueue script hours or
days later stacked identical jobs in the available queue — we found
~60k redundant weather + 3k redundant hrrr jobs in prod from the
March and April enqueue passes.
:infinity means Oban dedupes against every live job in the states
list regardless of age, so a second enqueue pass is a no-op as long
as the first pass's jobs haven't completed yet.
apply_valid_rows only matched {:ok, _} and {:error, %Changeset{}}, so when
Radio.create_contact returned {:error, :duplicate, existing} — the race
window where preview flagged a row as new but another writer inserts the
same contact before the worker picks up the chunk — the reduce callback
crashed with FunctionClauseError. Oban retried the chunk, rolling back
the Postgrex transaction and surfacing the DBConnection errors the
operator was seeing.
Treat :duplicate as a silent skip: the row is already in the DB, there
is nothing to insert, and the counter should not double-count the existing
contact as an error either.
For large CSVs (e.g. the 34k-row ARRL dump), the synchronous commit
path blocked for minutes and a crash mid-commit left no audit trail.
Refactor to run inserts + enrichment enqueues via Oban.
- New import_runs table: stores preview rows + running counters (total,
processed, imported, refined, error) + status + errors map + timing.
- New :contact_import Oban queue (limit 4) + ContactImportWorker.
Args: {import_run_id, offset, limit}. Each chunk (100 rows) inserts
its slice via CsvImport.commit_rows/1, atomically increments counters
in one update_all, flips status, and broadcasts progress on
'csv_import:<id>' PubSub topic.
- CsvImport.commit_rows/1 extracted from commit/1 (back-compat preserved).
New CsvImport.enqueue/2 persists the run + dispatches N chunk jobs.
Also: submit page copy updated from '902 MHz and up' to '50 MHz and up'
matching the band allowlist expansion done earlier.
LiveView UI for /imports/:id is a separate commit.
57,186 prod contacts stored pos1/pos2 with 'lng'; 1,133 used 'lon'.
Every Elixir caller carried a `pos["lon"] || pos["lng"]` fallback
— which just caused a SQL widget to silently miscount 98% of contacts
(count_narr_done used `pos1->>'lon'` directly, no fallback, so every
lng-keyed row returned NULL and failed the coverage check).
- Migration rewrites every pos1/pos2 JSONB in place, renaming 'lng' to
'lon' and dropping 'lng'.
- Removes all 20+ `|| pos["lng"]` fallbacks across lib/, workers,
scorer, weather, radio.ex, contact show view, and recalibrator.
- lib_ml/propagation_analyze.ex SQL now reads pos1->>'lon' directly
(was reading 'lng' only, which would have broken after migration).
- priv/repo/import_contacts.exs one-time seed script now emits 'lon'
with string keys, matching production shape.
- Test fixtures in 4 test files normalized to 'lon'.
- Two lng-characterization tests deleted — nonsensical post-normalize.
- Updated notebook + old import_weather script to match.
- JS hook contact_map_hook.ts TypeScript type narrowed to 'lon'.
parse_cdo_row/1 assumed cdo -outputtab,code,lev,value would always emit
numeric codes in the first column, but Debian's cdo 2.5.1 (the version
in the prod container) emits mixed output:
- 'codeNN' with a literal 'code' prefix for most GRIB1 parameters
- Short GRIB1 names for a few: 2tag2 (PRES sfc), saip (DPT 2m),
tpag10 (HGT)
Result: every row fell through to :error, yielding a 'no parseable
values' error and 986 discarded NarrFetchWorker jobs.
Fix: normalize the code token by stripping 'code' prefix when present
and mapping known 2.5.1 short names. UGRD/VGRD intentionally omitted
(no discard evidence yet) — comment documents the add-when-they-surface
plan.
Also exposed parse_cdo_outputtab/1 as @doc false for testability.
Backtest branch's unknown-feature guard was dead code: the if block's
{:error, _} return was discarded and execution fell through, running the
backtest with a just-created atom and writing a report for nonsense
features. Two compounding issues:
- function_exported?/3 returns false for modules not yet loaded in the
BEAM, so even valid feature names triggered the warning path on a
cold VM.
- String.to_atom/1 on caller-supplied strings created unbounded atoms.
Fix: Code.ensure_loaded?(Features) before the check, String.to_existing_atom/1
with rescue (Features exports __info__(:functions) so every valid function
atom already exists), and an explicit early return via a with pipeline so
the error tuple actually leaves the worker.
FreshnessMonitor's comment claimed 'Oban unique constraint on
PropagationGridWorker prevents duplicates' — but the worker declared
no unique: option. During a long outage the monitor's 5-min stale-check
tick would pile up identical jobs (a 2h outage = 24 stacked jobs, each
doing the full f00-f18 HRRR chain).
Put the dedup on the worker (vs. the monitor's insert call) so anything
enqueuing it benefits — FreshnessMonitor, the hourly cron, or a manual
mix propagation_grid run.
unique: [period: 3600, states: [:available, :scheduled, :executing,
:retryable]] aligns with the hourly cron cadence. The seed job args
(%{}) collapse with themselves while chain-step jobs keep distinct
run_time/forecast_hour and remain enqueuable.
build_messages_per_message/3 was slicing the wgrib2 -lola bin output as
a packed float32 stream, ignoring the 4-byte record-length header + 4-byte
trailer that Fortran unformatted records prepend/append around each
message's data block. First value of message 0 came back as ~2.24e-44
(little-endian float32 of the int-16 record length), and every subsequent
message was shifted by 8 bytes so values spilled into neighbouring cells.
Fix: propagate the correct offset math already used by parse_lola_binary/3
(record_overhead = 8, stride = bytes_per_message + 8, data_offset =
msg_idx * stride + 4).
Flipped the characterization test from metadata-only to per-cell physical
asserts (200 K < TMP, DPT < 340 K; DPT <= TMP) and a 0.01 K cross-check
against extract_grid/3 output on the same fixture + bbox. Latent bug —
no production callers of extract_grid_messages*.
Same fix as rtma_client: MrmsClient had a hardcoded req_options/0 —
switched to a Keyword.merge with Application.get_env so tests can stub
HTTP. 13 new characterization tests: cache put/get/clear/broadcast and
worker listing/download/up-to-date paths. Full GRIB2 parse happy path
deferred to the wgrib2 coverage task.
RtmaClient was the only weather client without a Req.Test plug seam —
added the standard req_options() helper matching NarrClient/HrrrClient/
etc. so its HTTP calls can be stubbed in test.
17 characterization tests: URL construction, idx fetch 404/503, hour
truncation, malformed idx, range-GET error propagation, worker's
existing-row short-circuit, client-error propagation. GRIB2 byte
parsing paths deferred to the wgrib2 coverage task.
Status page NARR progress counted `hrrr_status = :unavailable` as the
candidate set, which swept in ~13.6K post-2014 HRRR retry rows and
showed "0 / 13,652". Candidate eligibility is qso_timestamp-based, not
hrrr_status-based — switch both the numerator and denominator to
`qso_timestamp < NarrClient.coverage_end()` so pre-2014 rows are
counted whether their hrrr_status is :queued, :unavailable, or
:complete.
ContactWeatherEnqueueWorker: short-circuit hrrr_points_for_contact/1
for pre-coverage timestamps and mark the contact :unavailable when no
HRRR jobs are built. Was producing a ping-pong where reconcile flipped
pre-2014 :queued → :unavailable and the same cron run flipped it back
to :queued from a rebuilt HRRR job that could never land data.
Makes the 'always recompute' intent explicit by removing the dead-code
short-circuit in add_distance_change — the candidate query already
requires at least one nil pos, so any previously stored distance is
tied to a stale grid/pos pair and must be overwritten.
10K+ HRRR-pending contacts were starving the 200-ish NARR candidates
out of the 500 per-run slot each 30 min because NARR candidates sort
last by the :hrrr_status priority. Drop the cap so every eligible
contact gets enqueued on each cron run; queue concurrency still paces
the actual fetches. Worker keeps supporting an explicit "limit" arg
for ad-hoc runs and tests.
The US 9cm amateur allocation was cut from 3300-3500 to 3300-3450 MHz
in 2020, so 3456 (the legacy weak-signal calling frequency) is no
longer in-band. Move the canonical key to 3400, migrate existing
contacts, and keep 3456 input resolving to 3400 via the
nearest-band snap so historical ADIF/CSV logs still import cleanly.
Expands submittable-contact bands to include 6m, 2m, 1.25m, and 70cm
(as 432 rather than the old 440 placeholder). Each new band gets an
explicit allocation window in BandResolver.nearest_band so ADIF FREQ
fields near the amateur allocations resolve correctly while 60-900 MHz
frequencies outside those windows are still rejected. Microwave
(>= 900 MHz) snapping is unchanged — nearest-band match across the
full @allowed_bands list.
Also adds BandConfig entries for 50 and 222 (tropo-only config, same
pattern as 144/432). Sporadic-E / F2 / meteor scatter modeling is not
yet in scope — ionosphere data is only used to compute an Es readout
on /path for 50/144/222/432.
Safety net for rows that land via direct DB writes (manual fixes, bulk
imports) and bypass Radio.create_contact's grid-resolution requirement.
Runs every hour on the :admin queue with a 500-row per-invocation cap.
Fills whichever side resolves — if one grid is invalid, the other still
gets populated; distance_km is only written when both positions end up
set.
Widen dedup match to 4-char grid prefix so an upload with a longer grid
(e.g. FN42aa25) finds the existing FN42 contact. Within a match, classify
as a refinement when the upload strictly extends the existing grid or
fills a missing mode; as a contradiction (still skipped) when grids or
modes genuinely disagree. Refinements flow through a new preview bucket,
update the existing row in place, and re-enqueue enrichment when the
position changed.
The /contacts LiveTable export produces a 12-column CSV with label-style
headers (Station 1 / Grid 1 / QSO (UTC) / ...) in a different column
order plus extras (id, distance_km, hrrr_status, flagged_invalid,
inserted_at). The old positional import rejected it with "expected 6 or
7 columns, got 12".
Replace the positional parser with header-driven mapping:
- Parse the header row, normalize each cell (downcase + trim), and look
it up in an alias map that covers both the raw field names and the
export labels.
- Required columns: station1, station2, grid1, grid2, band, qso_timestamp
(mode stays optional). If any are missing the header, return
{:error, {:missing_required_columns, [...]}}.
- Unknown columns are silently ignored so the export's extras don't break
round-trip.
- Per-row validation stays the same (changeset errors still reported by
row number).
Existing 6- or 7-column positional CSVs that already have a header still
work — the header parser recognizes `station1`, `station2`, etc.
directly.
