Subscribes to mqtt.pskreporter.info:1883 over plain TCP and folds
every reception report into hourly aggregates per
(band, sender_grid_4, receiver_grid_4). Each spot is the empirical
"propagation actually occurred on this path right now" signal we'll
correlate against HRRR atmospheric state to recalibrate the scoring
weights. Aggregating at the path-hour bucket collapses 50-reporter
QSOs to one row instead of 50.
Topic filter anchors on USA (DXCC 291) on either sender or receiver
side so the broker pre-filters out everything outside our HRRR
domain. Bands subscribed: VHF and up (6m, 2m, 70cm, 23cm, +
microwave) — HF is dominated by ionospheric propagation, which this
project doesn't model.
Pskr.Client cluster-elects a singleton via :global.register_name —
all replicas start the GenServer but only one connects to MQTT;
the rest stay in :standby and watch for the leader's nodedown to
re-run election. Off in dev/test, on by default in prod
(PSKR_MQTT_ENABLED=false as kill-switch).
Pskr.Aggregator buffers in memory keyed by Pskr.path_key/1 and
flushes every 60s via Repo.insert_all/3 with an additive
ON CONFLICT (count summed, SNR envelope by GREATEST/LEAST,
modes unioned via unnest+DISTINCT). Idempotent across overlapping
flushes and across leader handover.
Dockerfile sets BUILD_WITHOUT_QUIC=1 — emqtt's transitive quicer
dep wants CMake + OpenSSL headers we'd otherwise have to add to
the builder image just to never use QUIC over plain MQTT. Base
image is unchanged; the new dep compiles cleanly into the existing
prop-base runtime.
Each cached HRRR valid_time is ~32 MiB compressed × cap of 8 = up to
256 MiB per pod. With 4 hot pods + 1 backfill that's ~1.25 GiB of
cluster RAM holding identical content. Replacing the per-pod ETS
replicas with a single shared Valkey copy collapses that to ~256 MiB
total (off-pod) and makes the BEAM heap on each replica meaningfully
smaller — directly addresses the headroom the 2026-05-03 OOM cascade
ate into.
* New `Microwaveprop.Valkey`: single Redix connection (named conn,
sync_connect: false, exit_on_disconnection: false). `start_link/0`
returns `:ignore` when VALKEY_URL is unset so dev/test boot without
Valkey. Helpers wrap GET/MGET/SET-with-TTL/ZADD/ZREVRANGE/SCAN with
`:erlang.term_to_binary` round-tripping under the safe atom flag.
* `Microwaveprop.Weather.GridCache` now branches on
`Valkey.configured?/0`. Public API is identical so callers (Weather,
GridCachePruneWorker, MapLive) don't change. ETS path is preserved
unchanged for dev/test.
* Storage layout when on Valkey:
prop:wg:vts ZSET of valid_time iso8601 strings
prop:wg:<vt>:<lat>:<lon> one chunk per 5°×5° spatial bucket
fetch_bounds MGETs only the chunks intersecting the viewport, so a
regional view is 1-4 round-trips instead of pulling the full grid.
* Per-key TTL = 8 h (matches the ETS valid_time cap). Eviction is
automatic; prune_keep_latest is a no-op on Valkey, prune_older_than
uses ZRANGEBYSCORE + DEL.
* All Valkey errors fall back to disk (ScalarFile.read_bounds), logged
as warnings — page works through Valkey outages, no user-visible
break beyond a one-shot latency bump.
ScoreCache, Microwaveprop.Cache, NexradCache, telemetry/Postgres
protocol/libcluster registry tables remain ETS — they're sub-ms
hot-path lookups where a network hop would be felt.
VALKEY_URL must be present in prop-secrets for production rollout
(applied out-of-band, secret.yaml is git-ignored).
Future-proof the queue config so a "let's bump concurrency for
throughput" change has the per-pod RSS math in front of it. Includes
the actual memory limit (6 GiB), observed steady state (3-5 GiB), the
~500 MiB peak per path-compute, and the explicit recommendation to add
hot replicas via HPA or offload HRRR fetch to hrrr-point-rs before
touching this slot count.
The :terrain queue at 3 slots/pod was sized for the lightweight per-QSO
TerrainProfileWorker, but RoverPathProfileWorker now runs the full
PathCompute pipeline (terrain + 9 HRRR profiles + sounding + ionosphere
+ scoring + loss + forecast) — same heap profile as :propagation, which
sits at 1 slot precisely to avoid OOM.
A backfill_paths flood today queued ~200 rover-path jobs. With 4 hot
pods × 3 slots, the cluster stacked 15 concurrent path-computes and
two pods OOM-killed in a loop, taking the libcluster ring with them
(visible as the "unable to connect" warnings on the surviving pods).
New :rover_path queue at 1 slot/pod caps cluster-wide concurrency at
(hot_replicas + 1 backfill), drains the existing 200-job backlog
inside ~30 min, and keeps :terrain free for the cheap workers it was
sized for.
Adds RoverPlanning.backfill_paths/0 that walks every mission and
re-enqueues RoverPathProfileWorker jobs for any (rover × station) pair
whose Path is missing or not :complete. The path-profile worker
short-circuits on :complete, so this is idempotent.
Wires a new RoverMissionBackfillWorker into both dev (config.exs) and
prod (runtime.exs) crons at HH:30 — heals missions stuck in :pending
or :failed from transient elevation-API errors or interrupted
create_mission enqueues without operator action.
- Empty-string env var (k8s secret resolves to '') was passing the nil
check and handing Postgrex an empty URL — now treated the same as unset.
- Drop runtime.exs warning; keep the single warning in application.ex
where the supervisor decision is made.
Wire up Microwaveprop.AprsRepo as an optional secondary Ecto repo that
points at the sister aprs.me Postgres for read-only access. This is the
foundation for upcoming 144 MHz calibration work that uses verified APRS
RF hops as ground truth.
* lib/microwaveprop/aprs_repo.ex declares a read_only repo; no schemas,
no migrations, no writes — Microwaveprop never persists APRS data.
* Application supervisor starts the repo only when configured (dev/test
via config blocks, prod via APRS_DATABASE_URL). A missing config logs
a warning and skips startup so the main app still boots.
* config/dev.exs + config/test.exs add local aprsme_dev / aprsme_test
endpoints. Test pool uses Ecto SQL Sandbox; tests that don't touch
APRS data don't need to check the connection out.
* config/runtime.exs guards the prod block on APRS_DATABASE_URL —
unset env logs a warning and leaves the repo unconfigured.
The hourly :35 fire was reliably being missed in production: the prop
deployment is pinned to a single replica, and frequent ArgoCD deploys
restart the pod often enough that some fires land in the swap window.
Between 13:35Z and 17:25Z today the cron fired exactly zero times.
Switch to :05/:25/:45. Each fire calls seed_current_hour which is
idempotent on the (run_time, forecast_hour, kind, source) unique
index, so duplicate inserts in the same hour are no-ops at the DB
level and don't add cost on the happy path. Three shots per hour
gives two retry windows when a deploy kills the pod mid-cron-tick.
The HRDPS pipeline as written was unusable in production: each chain
step took ~5 hours (not 30-90s as the dev-bench claim) because every
`wgrib2 -lon` batch redundantly JPEG2000-decodes ~150 records. With 57
batches × 18 forecast hours, a single cycle would take days to drain.
The /weather Canadian view only needs the current hour, so the cheapest
fix is to stop seeding the rest of the chain entirely:
* Rust grid: HRDPS_STEP=0.5 (was 0.125) drops point count 16× to ~3.5k.
Coarser cells than HRRR, but /weather gets visible Canadian coverage
inside one chain step (~20 min) instead of never.
* GridTaskEnqueuer.seed_current_hour/2 inserts exactly one forecast row
whose valid_time is closest to `now`. fh is clamped to 1..18 so the
Rust F00Reserved branch never fires.
* HrdpsGridWorker switches to seed_current_hour and drops the
6-hour-cycle cron in favor of HH:35 hourly fires. Reseeds are
idempotent on the 4-column unique key.
Also fixes a pre-existing credo "nested too deep" in
ScalarFile.read_point by extracting lookup_in_chunk + hit_or_false
helpers — happened to be on the read path that surfaces this work, so
folding it into the same commit.
Stages 6, 7, 10 of the HRDPS plan, plus the Elixir read-side merge
that makes Rust's `.hrdps.prop` writes show up on /map.
Read side:
- `ScoresFile.path_for_hrdps/2` + `read_hrdps/2` — companions to the
HRRR equivalents. Same decode path; different filename.
- `ScoresFile.read_bounds/3` now reads HRRR + HRDPS files and
concatenates the cells. Files are disjoint by construction
(Grid.hrdps_only_points excludes CONUS) so no de-dup needed.
- `ScoresFile.read_point/4` checks `.prop`, then `.hrdps.prop`, then
legacy `.ntms` — first hit wins. Cells outside their owning region
read as no-data in the other file's grid, so the order doesn't
matter for correctness.
- `Propagation.warm_cache_and_broadcast/2` reads both files and
merges before broadcasting to the cluster ScoreCache. A single
missing file (HRDPS pre-cycle, HRRR briefly absent) is now OK —
the cache warms with whichever side is available.
Activation:
- runtime.exs cron: HRDPS seed worker fires at HH:35 of each cycle
hour (05:35Z, 11:35Z, 17:35Z, 23:35Z) — 5h after cycle, 30 min
staggered from HRRR's */15 schedule.
- HrdpsGridWorker moduledoc updated: no longer dormant; Rust
prop-grid-rs handles source='hrdps' rows.
- map_live North America bbox extended to (24.5, 60.0, -141.0, -52.0)
for the out-of-coverage banner check; visitors anywhere in CONUS
or the Canadian extent now stay banner-free.
Cleanup:
- mix hrdps.probe deleted — its risks are retired and the production
HrdpsClient covers the same surface.
What's still in motion (not blocking the Canadian /map):
- Per-valid_time profile + scalar artifacts for HRDPS (would let
/weather show Canadian temperature/refractivity layers). Rust
pipeline currently skips those so the HRRR-written companion files
aren't clobbered — separate stage when /weather UX is decided.
- FreshnessMonitor HRDPS staleness tracking — HRDPS has its own cron
and a different cadence than HRRR; HRRR-stale logic doesn't apply
cleanly. Defer until prod tells us what alarms we actually want.
Stage 3 (Elixir foundation) of the HRDPS plan. Lands the scaffolding
that lets the Rust prop-grid-rs HRDPS branch be wired up cleanly when
it ships, without further DB or Elixir-side changes.
What ships:
- `grid_tasks.source` column (default 'hrrr', backfill is a no-op).
Replaces the (run_time, forecast_hour, kind) unique index with a
4-column key (..., source) so HRRR and HRDPS analysis/forecast rows
for the same cycle coexist.
- `Grid.hrdps_only_points/0` — Canadian cells inside HRDPS bbox
(49-60°N, -141 to -52°W) but outside HRRR's CONUS bbox. Disjoint
from `conus_points/0` by construction so the two grids never
double-write the same (lat, lon).
- `Grid.point_source/1` — `:hrrr | :hrdps | :neither` classification
for a (lat, lon) pair. Routes per-QSO enrichment to the right NWP
source.
- `GridTaskEnqueuer.seed_with_analysis/2` and `seed/2` accept a
`:source` option; defaults to "hrrr" so existing callers are
unchanged.
- `HrdpsGridWorker` cycle seeder mirroring PropagationGridWorker's
shape but for HRDPS's 4×/day cadence. `:hrdps` queue added to base
Oban config.
What's deferred:
- The Rust `prop-grid-rs` worker doesn't yet branch on
`task.source`. Until that ships, `HrdpsGridWorker` stays out of
runtime.exs cron — it would just produce rows that the Rust worker
mishandles as HRRR. Module doc explicitly notes the dormant state.
- Map overlay extension and FreshnessMonitor HRDPS staleness deferred
to follow-up sessions once real data flows.
Activation path documented in the updated plan file.
Coverage cap recorded as Stage 8 decision: 60°N for v1 (SRTM stops
there). Arctic CDEM deferred to a follow-up plan.
- Local prominence: each cell's elevation vs. its 8-neighbor ring
(~1.3 km radius) feeds a small additive bonus so broad hilltops
rank above isolated SRTM voxels
- Road proximity: one Overpass call per Calculate fetches drivable
ways inside the bbox; cells beyond ~0.5 km of any road get a
light dB penalty, gated off in tests
NOAA publish latency for HRRR pressure-level f18 straddles ~50-65 min
after cycle hour. The HH:05 cron frequently probes a (now-1h) cycle
that's not yet on S3 and falls back to (now-2h). Until today the next
re-attempt was a full hour later, leaving weather visibly stale.
Quadrupling the schedule lets pick_run_time/1 upgrade to the freshest
cycle within 15 min of it publishing. seed_with_analysis is idempotent
(on_conflict: :nothing), so re-fires against an already-seeded run_time
are a single cheap INSERT batch.
PropagationGridWorker hard-coded `now-2h` for run_time selection on
the conservative theory that NOAA always finishes publishing within
two hours. In practice f18 is on the mirror by HH:55–HH:00 of the
next hour, so the cron at HH:05 was always picking a cycle that was
already an hour stale.
`HrrrClient.cycle_available?/1` HEADs the wrfprsf18 idx (the slowest
file in the cycle) — a 200 means every earlier forecast hour is also
on disk. `pick_run_time/1` probes `now-1h` first; if the probe
returns true we use that cycle, otherwise we fall back to the
existing `now-2h` slot. Test hook via :hrrr_cycle_available_fn env
keeps the behaviour fully exercisable without hitting NOAA.
End-to-end: weather/score data lag drops from ~2 h to ~1 h on every
hour where NOAA delivers on time. The fallback path keeps the chain
running on slow-publish hours.
IEM's ASOS CSV endpoint accepts multiple station= params in a single
request. Prior code enqueued one WeatherFetchWorker job per nearby
station per QSO endpoint — N jobs × 1 station each — which paid the
IemRateLimiter's 1500ms gap and the IEM 429-retry tail N times per
contact.
Changes:
- IemClient.asos_url/3 accepts a list of station codes.
- IemClient.fetch_asos_batch/3 fetches N stations in one call and
returns rows grouped by station_code (with absent codes filled as
empty lists so callers can stub them).
- parse_asos_csv/1 now exposes the station_code column it was
previously discarding.
- WeatherFetchWorker gains an "asos_batch" fetch_type clause that
unpacks rows per (station_id, station_code), upserting or stubbing
each. The single-station "asos" clause stays for already-queued
retryable jobs.
- ContactWeatherEnqueueWorker.build_asos_jobs/3 now emits one batch
job per (lat, lon, 4h window) covering every uncovered nearby
station (sorted for deterministic unique-args).
Expected effect on backfill: ~10-20x fewer IEM requests per contact
enrichment cycle, matching drop in 429 retry traffic.
Removes the six OTel packages (opentelemetry, _api, _exporter,
_phoenix, _oban, _bandit) and their 9 transitive deps. Tracing was
only wired for Phoenix/Bandit/Oban auto-instrumentation — PromEx
already covers the metrics we actually use on the status page +
Grafana. Also drops the OTEL_EXPORTER_OTLP_ENDPOINT env var and
its comment block from both deployment manifests.
No translations are actually maintained and no UI is shipped in a
non-English locale. Replaced the handful of gettext(...) calls in
core_components + layouts with their literal English strings, and
rewrote translate_error/1 as a small %{key} interpolator over the
Ecto changeset error tuple.
Removes gettext + expo (compile dep). sutra_ui stays — it's a
transitive dep of live_table's TableComponent.
Replaces the SVG schematic on /eme with a textured WebGL scene: NASA
Blue Marble Earth, real-size Moon, outbound beam, dashed return ray
to the sub-lunar point, and a red shading on the anti-moon hemisphere
that marks who can't see the Moon (outside the bounce footprint).
Three.js (~680 kB) now lives in its own chunk; esbuild --splitting
keeps it out of the main bundle so it only loads when a user hits
/eme. Main app.js drops from 1.6 MB to 922 kB.
Also swaps the Elevation/SNR rows so the badge comes before the number.
Hot pods were running weather/narr/rtma/nexrad/contact_import
alongside LiveView and the hourly propagation chain. The weather
queue in particular hammers IEM with ASOS backfills; each Req
retry against a 429 stacks an in-worker Process.sleep, and enough
concurrent retries saturated the Ecto pool. Once DB checkouts
started queueing past 15 s the cascade was always the same:
Postgrex client timeouts → Oban.Notifier/Peer 5 s health checks
failing → /health readiness timeout → kubelet flipping the pod
out of the service endpoint set. One hot replica accumulated 11
restarts over 16 h.
Split the shared queue block: anything that's truly per-QSO
enrichment on demand (terrain, iemre, radar, mechanism, gefs,
ionosphere, space_weather, admin, exports, backfill_enqueue) stays
on both tiers, while weather/narr/rtma/nexrad/contact_import run
only on prop-backfill. The hot pods mark those as paused so the
queue entries still exist cluster-wide (Oban Pro's Smart engine
rejects `limit: 0`). Cluster capacity for the backfill queues is
unchanged; they just execute on the dedicated t620.
Every prop pod restart was dumping a pair of ArgumentError stack
traces from grpcbox_channel / grpcbox_subchannel terminate/3:
:ets.select(:gproc, …)
* 1st argument: the table identifier does not refer to an
existing ETS table
This is a known grpcbox shutdown race: the OTLP/gRPC transport's
terminate callback tries to look itself up in gproc's ETS just
after gproc's supervisor has already torn the table down. Noisy,
not harmful — but one ArgumentError per restart × N pods adds up.
The OTLP/HTTP transport (port 4318 on the same otel-collector
Service) has no gproc/ETS channel machinery, so shutdown is
quiet. Spans are identical — our collector already accepts both.
- `config/runtime.exs`: default `otlp_protocol: :http_protobuf`,
with an `OTEL_EXPORTER_OTLP_PROTOCOL=grpc` escape hatch.
- `k8s/deployment.yaml`: point `OTEL_EXPORTER_OTLP_ENDPOINT` at
:4318 instead of :4317. The Rust workers stay on :4317 — their
native opentelemetry-otlp transport doesn't share the grpcbox
bug.
Investigated why all three prop pods were restart-looping every few
minutes (RESTARTS counts 7–11 in 99m). The trail:
20:53:33.058 [error] Postgrex.Protocol ("db_conn_10") disconnected:
client (:"Elixir.Microwaveprop.PromEx.Poller.5000") timed out
because it queued and checked out the connection for longer than
15000ms
PromEx's Oban queue-depth poller was scanning the oban_jobs table
every 5s and holding an Ecto connection past its checkout timeout.
That starved the rest of the pool, so /health's `SELECT 1` couldn't
acquire a connection inside the 3s liveness probe timeout, the
kubelet's failureThreshold=3 tripped, and SIGKILL landed on the
BEAM. Every replica cycled on the same cadence.
Two fixes:
1. Split /live (no DB) from /health (DB ping). Kubernetes livenessProbe
now points at /live so a saturated Ecto pool can never cascade into
SIGKILL. Readiness still hits /health so a genuine DB outage drains
the pod from Service endpoints gracefully.
2. Turn off the PromEx Oban plugin in prod via the same flag already
used in test. The queue-depth query isn't worth pod instability;
the oban_web dashboard surfaces the same information without
scanning the job table on a timer.
Locked both down with HealthController tests that verify /live never
touches the Repo (no sandbox owner, controller.live/2 called directly,
200 ok) and /health does (sanity query round-trips).
The ingress + Grafana pipeline parses JSON-formatted log lines; Elixir's
default text formatter was the odd format everywhere else, forcing Loki
to fall back to free-text parsing. Swap the `:default` :logger handler's
formatter to `LoggerJSON.Formatters.Basic` when `LOG_FORMAT=json`.
Defaults: `LOG_FORMAT=text` for dev/test (no behaviour change), `json`
for prod. Whitelisted metadata covers the fields we actually correlate
on — `request_id`, `trace_id`, `worker`, `queue`, `job_id`.
OTP 28 / Elixir 1.19 exposes `Logger.Formatter.new/1` but ships no
JSON encoder of its own, so `logger_json` (~> 7.0) carries the rendering.
The test pokes the formatter directly rather than round-tripping through
ExUnit's capture_log, which replaces the handler and so can't see the
installed formatter's output.
- HrrrClient idx-cache test only invalidated the surface idx URL, but
fetch_profile also fetches a pressure idx. Previous runs' state for
the pressure key decided whether the counter landed at 1 (prior run
cached it, pass) or 2 (cold, fail). Invalidate both + assert 2 total
fetches to reflect the actual code path.
- CsvImportTest deadlocked against other async DataCase tests when
inline Oban child jobs upserted iemre_observations/terrain_profiles
with a shared conflict target. Flip to async: false — same fix as
ContactWeatherEnqueueWorkerTest earlier this session.
- PromEx.Plugins.Oban runs a 5s telemetry_poller that queries the DB,
but its poller PID has no sandbox connection in test and crashed
with DBConnection.OwnershipError on every tick, spamming the log.
Gate the plugin on a config flag and skip it in config/test.exs;
prod behaviour unchanged.
The remote_ip plug previously trusted Cf-Connecting-Ip and X-Forwarded-For
on every request, so any client reaching a pod directly (cluster-internal,
kubectl port-forward, misconfigured Service) could spoof conn.remote_ip,
which flows into session storage and logs.
Now only honour those headers when the immediate TCP peer sits inside a
configured CIDR list. Default list covers loopback, RFC1918, CGNAT,
link-local, and IPv6 ULA — matches the k8s pod/service network.
Override via config :microwaveprop, :trusted_proxies, or per-environment
via the TRUSTED_PROXY_CIDRS env var in runtime.exs.
Also refresh the stale "nginx/dokku proxy" moduledoc — deployment has
been k8s + Cloudflare for a while.
The Microwaveprop.Weather.GridCache ETS table grew unbounded — each
hourly PropagationGridWorker run plus peer broadcast_put added ~92k
points per forecast hour, so long-lived pods were strong OOM
candidates. GridCache already exposed prune_older_than/1 but nothing
called it.
Adds an Oban worker on the :propagation queue (lower priority than
the grid chain) that prunes entries older than 3 hours. Scheduled
hourly at :15 in dev, prod, and the base crontab.
Periodic 60s sweep re-warms ScoreCache from /data/scores whenever
{band, valid_time} pairs are on disk but absent in local ETS.
Covers the three silent-fail modes of the NOTIFY/LISTEN path:
dropped notifies on reconnect, missing listener, and stale NFS
reads. Each pod reconciles its own cache — no PubSub fan-out,
no coordination required. Rescue on File.Error handles the
rare window where an atomic-rename write races the reader.
docs/runbook_propagation_pipeline.md names every failure mode
in the Rust↔Elixir seam and what recovers it.
Every Sent log line now carries method and path so noisy traffic
(probes, scrapers, redirects) is identifiable without a tracer.
RemoteIp plug already sets remote_ip metadata; add method and
request_path alongside it and register the extra keys with the
default formatter.
Unlimited BackfillEnqueueWorker runs loaded all ~36k enrichable
contacts and hit Oban's ~17 min execution timeout, discarding the
parent job every cron tick. Enrichment was landing partially
(jobs enqueued before the timeout) but the loop never completed
and no success signal was emitted. A per-tick limit of 2000 keeps
each run well under any timeout while still draining the backlog
at 4000/hour across the */30 schedule.
Adds the OTel deps (opentelemetry + exporter + phoenix / ecto / oban /
bandit auto-instrumentation helpers) and attaches them in
Application.start/2 so the existing Phoenix, Ecto, Oban, and Bandit
telemetry events flow as OTLP spans without any call-site changes.
Exporter config is gated on OTEL_EXPORTER_OTLP_ENDPOINT in
config/runtime.exs — set in the k8s manifests to the cluster
collector (otel-collector.observability.svc.cluster.local:4317).
When unset we switch traces_exporter to :none so nothing is shipped;
dev/test stays quiet.
Resource attributes tag spans with service.name=microwaveprop and
service.namespace=prop, matching the Rust workers' attribute shape
so Tempo can group the full hourly chain across both languages.
Both the main prop deployment and the backfill deployment get the
env; backfill is still a full BEAM node running enrichment workers,
so its Oban/Ecto spans are worth seeing too.
Phase 3 Stream C Elixir-side: HrrrFetchWorker is deleted; per-QSO HRRR
enrichment now writes to the new hrrr_fetch_tasks table for the Rust
hrrr-point-worker to drain.
Table shape:
- one row per valid_time (primary key) with a JSONB array of
{lat, lon} points
- UPSERT on conflict: array-union of points, status flips back to
queued if previously done/failed so a backfill re-scan naturally
refills the queue for Rust
Elixir changes:
- new migration 20260419231502_create_hrrr_fetch_tasks
- new Microwaveprop.Weather.HrrrPointEnqueuer with enqueue/1 and
enqueue_for_contacts/1. Pre-2014 contacts (NARR's territory)
are skipped here so hrrr_status can pin them to :unavailable.
- ContactWeatherEnqueueWorker: build_hrrr_jobs/1 removed; single-
contact path and batch perform/1 both route through
HrrrPointEnqueuer.enqueue_for_contacts/1. A placeholder jobs-list
is kept just to feed mark_hrrr_status!.
- contact_live/show.ex retry button enqueues via the same path.
- :hrrr queue removed from dev/config/runtime.exs
- HrrrFetchWorker module + test deleted
BackfillEnqueueWorker scans continue to flow through
ContactWeatherEnqueueWorker.enqueue_for_contact (unchanged), so the
30-min reconcile refills hrrr_fetch_tasks automatically.
4 new tests cover the routing, pre-2014 skip, UPSERT-union, and
status-reset-on-reschedule behaviour. Rust-side hrrr-point-worker
binary + k8s deployment land in the next commits.
MrmsFetchWorker fired every 2 min on the :propagation queue, decoding an
MRMS PrecipRate GRIB2 into MrmsCache. Its only consumer,
AsosAdjustmentWorker, is disabled in all configs (dev / config / runtime).
Net effect: 30 GRIB2 decodes/hour of dead work on hot pods.
Removed:
- MrmsFetchWorker, MrmsClient, MrmsCache and their tests
- cron entries in config.exs, dev.exs, runtime.exs
- mrms_req_options stub in test.exs
- MrmsCache from supervision tree in application.ex
- stale MRMS references in PropagationGridWorker docstring and test
Also adds docs/plans/2026-04-19-rust-migration-phase3.md which tracks
the broader Stream A (f00 port) and Stream C (HrrrFetchWorker port)
follow-on work.
Oban Pro 2.21.1's Smart engine rejects `local_limit: 0` with
"local_limit must be greater than 0", OOMing the backfill pod on every
boot since the upgrade. Switch the disable pattern to
`[local_limit: 1, paused: true]` so the queue still exists (satisfying
the validator) but processes nothing. Verified under PROP_ROLE=backfill
the four hot queues (propagation, commercial, solar, enqueue) resolve
to paused=true and the others keep their normal concurrency.
config.exs registers Oban queues + the Cron plugin at compile time,
and Config deep-merges with runtime.exs by key. Simply omitting
propagation/commercial/solar from runtime.exs left them inheriting
from config.exs, so backfill pods were still processing hot-path
queues and holding the Cron plugin. Override the hot queues to
limit: 0 and re-register Cron with an empty crontab in backfill
mode so the compile-time defaults get neutralised.
PROP_ROLE=backfill drops the hot-path propagation/commercial/solar
queues and the Cron plugin. Paired with a dedicated Deployment
(nodeSelector: prop-backfill=true, 4Gi memory, no web) this lets 8GB
T620 workers drain the hrrr/weather/terrain/iemre/narr backfill
queues without competing with the hourly grid chain.
Two independent wins the latest prod telemetry pointed at:
1. Iowa Environmental Mesonet rate limiter. IEM throttles per source
IP across all in-flight requests, so dropping the `:weather` Oban
queue to 1/pod wasn't enough — workers were still issuing back-to-
back requests inside each job and drawing a steady stream of HTTP
429s (1,396 retryable on the queue). A GenServer-based token bucket
serialises acquire() with a 700ms min gap per pod; three pods give
~4 req/sec cluster-wide, well under the observed 429 threshold.
Wrapped around every IemClient fetch.
2. Parallel HRRR surface + pressure grid fetch. The two products live
in separate wrfsfcf / wrfprsf GRIB files, so their fetch → wgrib2
→ decode pipelines are independent; running them sequentially was
adding ~30s per forecast hour for no reason. Task.async the pair,
merge at the end. Halves per-fh wall time and should unblock some
of the missing-hour cases we saw on the 14:00Z chain.
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.
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']
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.
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.
Rename the local dev database from microwaveprop_dev to prop_dev so
the name matches the production database. Add scripts/restore_prod_to_local.sh,
which pulls the latest pg_dump off the backup server, drops the local
prop_dev, recreates it, and pg_restores into it.
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.
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.
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.
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.
