1. GridCache: auto-release fill lock when the claimer process crashes.
claim_fill/1 + release_fill/1 go through the GenServer so the
server can Process.monitor the caller and clean up the ETS entry
on :DOWN. Clear/0 now resets both the data table and the lock
table. Fixes a latent bug where a crashed fill leaked the lock
indefinitely, preventing every subsequent /weather mount for that
valid_time from claiming and leaving cache cold.
2. RadarFrameWorker: distinguish permanent vs transient fetch errors.
404 from the IEM n0q archive is permanent (file will never exist)
and marks contacts :unavailable as before. Any other error shape
(5xx, timeout, transport failure) now returns {:error, reason}
so Oban retries — previously those also pinned contacts at
:unavailable after a transient outage.
3. AdminTaskWorker.native_derive: replace per-row Repo.update_all
(N round-trips + N fsyncs) with one UPDATE ... FROM unnest(...)
per 2000-row batch. For the 10k-profile budget this is one
network round trip per chunk instead of 10k, and one fsync per
chunk instead of 10k. Restructured the clause to separate
derivation (pure) from persistence (I/O).
All three changes are test-covered (grid_cache_test auto-release
test, radar_frame_worker_test 5xx + transport tests, existing
admin_task_worker_test native_derive coverage exercises the new
bulk path). Also drops the scorer_diff no-op test that was
verifying the clause removed in 61da51c.
- AdminTaskWorker: remove scorer_diff no-op clause (propagation_scores table
was dropped pre-cutover; queue is drained).
- Weather: remove load_weather_grid_from_db/1 fallback — Rust writes
ProfilesFile for every forecast hour, so the DB path was unreachable
in practice and loaded stale pre-cutover data when it fired.
- Weather.build_grid_cache_row/4 now prefers persisted fields from the
ProfilesFile profile map (surface_refractivity, min_refractivity_gradient,
ducting_detected, duct_characteristics) over re-deriving from the raw
profile, matching the old DB-path semantics.
- NotifyListener: wrap per-band warm in try/rescue so one corrupt or
mid-rename .ntms file doesn't abort the remaining bands. Failures log
a warning with band + valid_time; successes still emit one info line.
- weather_grid_test: rewrite insert_hrrr_profile helper to write
ProfilesFile directly and drop the "only returns points on 0.125 grid"
test (filter was a property of the deleted DB fallback; Rust writes
only grid points by construction).
Column name now matches the type key used everywhere else:
:hrrr -> hrrr_status, :weather -> weather_status,
:terrain -> terrain_status, :mechanism -> mechanism_status
Drops the @status_column_overrides remap in BackfillEnqueueWorker
(status_column/1 is now a straight :"#{type}_status" derivation) and
the long-form references in Contact, ContactWeatherEnqueueWorker,
and MechanismClassifyWorker. Migration is a metadata-only RENAME
COLUMN + RENAME INDEX — safe to land in prod (no table rewrite,
brief catalog lock only).
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.
Pure domain check — "does this contact already have HRRR profiles at
every path point for its QSO hour" — has no business living in an
Oban worker. Weather already owns has_hrrr_profile?/3 and
round_to_hrrr_grid/2, so consolidation keeps HRRR knowledge in one
context and leaves ContactWeatherEnqueueWorker focused on job
coordination.
Phase 2 cutover completed in 65693ed — Rust prop-grid-rs owns
f01-f18 production writes and the shadow path has been dead
for weeks. No callers in lib/, test/, or mix tasks.
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.
hrrr_placeholder_jobs previously returned [contact.id] for any
post-2014 contact with pos1, regardless of whether the HRRR
profiles were already in the DB. That meant BackfillEnqueueWorker
re-flagged the same ~22k contacts as :queued on every 30 min
cron tick forever — HrrrPointEnqueuer saw 0 missing points and
inserted nothing, but the status field never advanced.
Now the placeholder also returns [] when every path point has
an hrrr_profile row, so mark_hrrr_status!/3's empty-list branch
flips the contact to :complete directly. Genuinely-missing
contacts still flow through HrrrPointEnqueuer unchanged.
count_unprocessed_raw fired seven separate COUNT(*) scans on the
contacts table every 2 s refresh (total, terrain, hrrr, weather, iemre,
radar, all-done). Each one went through the 58k+ row table
independently, so the status page was hitting Postgres with ~3.5 full
scans per second of connected viewer time.
A single query with COUNT(*) FILTER clauses pulls every count in one
sequential scan. Same result, roughly 1/7 the CPU on Postgres.
Two wins in the /map hot path.
1. preload_forecast fired on every Leaflet moveend — which arrives in
bursts during pan/zoom — and each firing read + filtered + shipped
18 forecast-hour score lists (up to 90k cells per hour at full
CONUS view) over the LiveView websocket. Now debounced to the
trailing edge: the user must stop moving for 750 ms before we pay
the preload cost. select_band and propagation_updated go through
the same scheduler so a storm of PubSub updates during an hourly
chain also coalesces.
2. ScoreCache.grid_to_filtered_list walked the 92k-cell grid twice
(Enum.filter then Enum.map) and allocated an intermediate tuple
list between them. Enum.reduce emits only in-bounds result maps
directly — halves map traversal + drops the tuple intermediate.
The Contact list's 'Partial' badge was sticky: once a worker gave up on
a contact (upstream 404, no nearby station, IEM throttling) or the
stale-queued reconciler flipped it to :unavailable after 3 days, the
backfill cron never looked at it again. Upstream archives heal over
time — IEM backfills gaps, new ASOS stations come online, Rust worker
gains capability — so rows stayed 'Partial' that shouldn't have.
Changes:
* BackfillEnqueueWorker.type_filter now also matches <status>_status =
:unavailable when contacts.updated_at is older than a 24 h cooldown.
enqueue_for_contact is idempotent: if there's still nothing to
fetch it'll flip the status to :complete on the empty-jobs branch;
if new data shows up it builds fresh jobs.
* reconcile_stale_queued_to_unavailable now bumps updated_at when
flipping to :unavailable so the cooldown starts fresh — otherwise
the main loop would pick it right back up on the same cron tick
(stale updated_at < any reasonable cooldown) and immediately
transition :unavailable → :complete, defeating the :unavailable
signal entirely.
Also:
* Drop ScoresFile.point_score/3, dead since read_point moved to the
pread fast path in commit bd3b114.
* Clear Microwaveprop.Cache in WeatherGridTest setup. The new
ProfilesFile read cache is keyed by (base_dir, valid_time); tests
in this file reuse DateTime.utc_now() truncated to seconds and
share the default base_dir, so a prior test's cached read leaks
into the next one's expectations.
The 'Fetching HRRR atmospheric data' spinner stayed up forever for
contacts stuck in :queued without a matching hrrr_fetch_tasks row.
Ways a contact lands in that state:
- HrrrPointEnqueuer.enqueue/1 raises, the rescue swallows the error
and returns {:ok, 0}, but the caller still marked the contact
:queued before it noticed the failure.
- Rust worker marks a (valid_time) task :done with a points array
that never included this contact's point, so no profile is ever
written for it.
- hrrr_fetch_tasks row is cleaned up by retention before the contact
page loads.
Drop the hrrr_status != :queued short-circuit and always call the
enqueuer when the profile is nil. The ON CONFLICT clause in
HrrrPointEnqueuer.enqueue/1 unions points into the existing row,
resets :done/:failed rows back to :queued with attempt=0, and no-ops
when the point is already present — so re-entering on every page view
is cheap and self-healing.
Clicks on the map were hanging for 1-3s, triggering the Phoenix topbar
progress bar visible to the user. Three hot-path improvements:
1. ScoresFile.read_point now uses a two-range :file.pread/2 — reads the
33-byte header + one cell byte (~60 bytes) instead of the full ~93 KB
file. point_forecast walks 19 forecast hours per click, so the old
full-read path was the dominant cost on cold cache.
2. ProfilesFile.read/1 and list_valid_times/0 cached via
Microwaveprop.Cache (5s TTL). Decoded profile maps are ~10 MB each
(92k cells); timeline scrub that re-clicks the same valid_time
within seconds now hits ETS instead of re-gunzipping + decoding.
Cache keys include base_dir so test setup that swaps dirs doesn't
see stale entries. Writes + prune + retain_window invalidate.
3. Endpoint log_level now filters /metrics the same way it already
filters /health — Prometheus scrapes every 5s and was producing
visible log spam.
Pod-local ETS is right for this workload (per-click read, tiny working
set); Valkey / shared memstore would not help here since each pod needs
its own fast-path lookup. File a follow-up if cross-pod score lookups
ever show up in flame graphs.
Three small wins from a telemetry audit:
1. Propagation.scores_at/3 wrapped every call in Instrument.span, firing
two handler dispatches that dominated the ~10µs ETS lookup on cache
hits. The map's LiveView fires this on every pan + point-click, so
hot-path latency was mostly telemetry. Span now wraps only the miss
branch (where disk IO makes the duration signal meaningful); hit path
still emits the cheap hit/miss counter the cache-ratio panel reads.
2. Oban queue-depth poller: 10s → 30s. Every replica independently
GROUP-BYs oban_jobs, so each extra replica paid ~3 redundant queries
per minute for a gauge that moves on the hour-scale anyway.
3. Dropped summary(phoenix.endpoint.start.system_time): summarizing a
wall-clock timestamp produces no useful aggregate — stop.duration
below it is the meaningful signal.
Contacts lacking pos2 had terrain/radar/mechanism stuck on :pending, so
BackfillEnqueueWorker re-scanned them every cron cycle. Mark these
statuses :unavailable so the enqueue filter excludes them; a later pos2
edit resets them back to :pending via Radio.reset_enrichment_statuses/2.
BackfillEnqueueWorker re-enqueued every :queued contact each cycle, and
RadarFrameWorker had no unique clause, so the same 5-min NEXRAD frame
got scheduled repeatedly with overlapping contact lists. Prod had 9,134
duplicate available jobs across 1,061 distinct frames — 89% waste.
Two coupled changes so contacts aren't stranded by the dedup:
1. Worker now queries eligible contacts by the frame's 5-min bucket
instead of the args' contact_ids list. A contact that flips to
:queued between the enqueue and the job running gets picked up.
2. unique: [frame_ts] on states [available, scheduled, retryable].
:executing intentionally excluded — a contact that flips to :queued
mid-execution can still enqueue a follow-up instead of getting
stuck behind a running job that missed it.
HRRR publishes ~2h after the cycle hour, so the hourly seeder uses
run_time = now - 2h. That puts the f00 analysis file's valid_time
right at the 2h prune cutoff — the file was being deleted within
minutes of the Rust analysis step writing it, leaving /weather and
/map point-detail with no data.
A 3h cutoff keeps the current analysis alive until the next hourly
run supersedes it; forecast files (valid_time >> cutoff) are
unaffected.
Second row in the Rust worker table pulls from hrrr_fetch_tasks so
per-QSO HRRR backfill progress is visible alongside prop-grid-rs.
Same columns (Running / Queued / Retrying / Done 1h), 2s cache, same
refresh debounce as the grid_tasks panel.
Ecto auto-instrumentation created one span per query, so Oban jobs
running thousands of DB ops produced traces with 8k+ child spans.
Tempo's compactor couldn't ingest them — it stalled long enough to
miss heartbeats, got auto-forgotten from the ring, and crash-looped.
The Elixir grpcbox exporter then blew up trying to reconnect.
Stops the cascade: OTLP endpoint removed from prop and prop-backfill
Deployments, opentelemetry_ecto removed from deps, Phoenix/Oban/Bandit
auto-instrumentation retained. Rust workers still export to Tempo.
CommonVolumeRadarWorker was enqueuing one job per contact — every
job fetched + decoded the ~5 MB n0q PNG for its own 5-min frame.
At current backlog depth that's 17,588 contacts across just 1,747
distinct 5-min frames, i.e. ~10 contacts per frame paying for the
same PNG decode over and over.
New RadarFrameWorker takes a batch of contact_ids sharing one frame,
fetches + decodes the frame ONCE, then walks the in-memory pixel
buffer per contact. build_radar_jobs/1 in ContactWeatherEnqueueWorker
now groups the input contacts by their rounded 5-min timestamp and
emits one RadarFrameWorker job per frame instead of one
CommonVolumeRadarWorker per contact.
process_frame/4 is public so the same code path is used both by
perform/1 (production fetch) and tests (pre-decoded pixel buffer);
keeps the happy-path test hermetic without hand-crafting a PNG.
CommonVolumeRadarWorker stays in the tree — still used from the
single-contact submit path where batching is pointless and the
aggregate_stats/5 pure helper is a dependency of the new batched
worker.
Expected impact on the backfill: ~10x fewer fetch + decode cycles,
so the 17k queued-contact backlog drains in minutes instead of ~50.
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.
The hourly cron now only seeds grid_tasks. The chain step, native-duct
merge, NEXRAD merge, commercial-link merge, scoring, ProfilesFile
write, and band-score writes all moved to rust/prop_grid_rs.
Elixir changes:
- GridTaskEnqueuer.seed_with_analysis/1: inserts 1 kind='analysis' row
(f00) + 18 kind='forecast' rows (f01..f18).
- PropagationGridWorker: stripped from 423 LOC to a thin seeder.
perform(%{}) → GridTaskEnqueuer.seed_with_analysis.
Deleted: process_forecast_hour, merge_native_duct_data,
merge_nexrad_data, merge_commercial_link_data, compute_scores_*,
persist_profiles, record_run_timing (Rust emits spans to Prometheus
instead), apply_nexrad_observations, apply_duct_grid, timed helpers.
Test rewritten for the new shape: 0 Oban fan-out jobs, 19 grid_tasks
rows with the expected kind distribution.
HrrrNativeClient and NexradClient remain — they have other callers
(HrrrNativeGridWorker for per-QSO duct batch; NexradWorker and
CommonVolumeRadarWorker for per-contact radar). Only f00's direct
use moved.
Phase 3 Stream A: Rust's prop-grid-rs writes f00 profile files as
MessagePack (c4f309c). Elixir needs to read both formats during the
cutover window and indefinitely afterward — .mp.gz wins when both
exist.
Reader:
- path_for/1 stays on .etf.gz (Elixir legacy writer)
- mp_path_for/1 returns the .mp.gz sibling Rust lands
- read/1 prefers .mp.gz, falls back to .etf.gz, :enoent if neither
- decode_mp_body handles the top-level {v, valid_time, cells} shape
- normalize_profile atomizes a whitelist of known keys (surface_*,
native_min_gradient, ducts[], profile[] levels, ...) and leaves
everything else as strings so no String.to_atom bomb is possible
- Directory scan picks up both extensions so retain_window and
prune_older_than also work uniformly; list_valid_times dedupes
by timestamp
Adds msgpax ~> 2.4 dependency. 4 new tests cover format preference,
key atomization, :enoent path, and dedupe.
Three independent improvements in one commit:
1. Parallel band scoring (pipeline.rs):
- rayon par_iter across 23 bands replaces the serial for loop.
- All band files now write via try_join_all over spawn_blocking
instead of serializing one-at-a-time on NFS. Chain per-step
drops from ~60s to ~15-25s on a 4-core box.
2. Prometheus metrics (new metrics.rs):
- axum server on METRICS_ADDR (default :9100) exposes /metrics and
/health. Scraped by existing Prometheus via annotation.
- Histograms: chain step duration (by outcome), decode duration.
- Gauge: tasks in flight (RAII guarded so panics don't leak).
- Counter: chain steps by outcome.
- worker.rs records step duration and wraps each run in an
InFlightGuard.
3. HA + ordering fixes:
- deployment-grid-rs.yaml: replicas 1→2, required podAntiAffinity
spreads them across hosts, nodeAffinity prefers talos5 for one.
PROP_GRID_RS_PARALLELISM 4→3 per pod (6 concurrent across
replicas; smaller secondary-node footprint).
- Readiness probe on /health so rollouts wait for the runtime to
be alive.
- claim_next ordering: run_time ASC → DESC so the newest hourly
run drains before any stragglers from a broken prior run. Within
a run, forecast_hour ASC keeps nearest-first.
- grid_task_enqueuer sets kind="forecast" explicitly and updates
conflict_target to the new 3-column unique index introduced by
migration 20260419222624.
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.
Mirrors the Oban Job Queue Status table with a new section sourced
from the grid_tasks hand-off table. Columns: Running, Queued,
Retrying, Done (1h).
Active rows render an f## badge per in-flight forecast hour and a
detail line below with run_time / fh / attempt so it's obvious which
HRRR cycle the worker is on.
Pipes through the existing 2s debounced refresh plus a new PubSub
subscription to "propagation:updated" — PropagationNotifyListener
fans out the Rust worker's NOTIFY propagation_ready, so the panel
transitions running → done the moment Rust writes the score file.
Rust `prop-grid-rs` has been validated end-to-end on talos5 on the
streamed-bands image (main-1776635096-6d91461): real chain steps
complete in ~7 s each and the peak-heap refactor landed.
Changes:
- `PropagationGridWorker.seed_chain` now enqueues a single f00 Oban
job instead of f00–f18. The f00 analysis-hour keeps its enrichment
(native-level duct, NEXRAD composite, commercial-link boost,
ProfilesFile write) and the GridCache broadcast.
- `GridTaskEnqueuer.seed/1` is called again so grid_tasks gets the
18 forecast-hour rows the Rust worker claims.
- Test asserts only one Oban job is enqueued and the matching 18
grid_tasks rows land in the DB.
- `deployment-grid-rs.yaml` flips `PROP_SCORES_DIR` from
`/data/scores_shadow` to `/data/scores` so Rust writes to the live
score tree. No file collision — Elixir only writes the f00 files.
The hot pod memory shrink (6 Gi → 1 Gi) is deferred until one full
hourly cycle runs clean under the new split.
Option A from the shadow-mode duplication discussion — Elixir still
owns f00-f18 fan-out via Oban and writes to /data/scores. The Rust
worker sits idle polling an empty grid_tasks table instead of
re-fetching the same HRRR GRIB2 and writing a parallel tree to
/data/scores_shadow.
Brings the seed call back when Phase 2 cutover is approved (at which
point the Elixir fan-out shrinks to fh=0 and PROP_SCORES_DIR flips
from /data/scores_shadow to /data/scores).
Extracts the memory-hostile HRRR fetch → decode → score pipeline for
forecast hours 1–18 into a separate Rust service (`prop-grid-rs`).
Elixir retains f00 with its native-duct + NEXRAD + commercial-link
enrichment; Rust handles the other 18 steps per hourly chain.
Hand-off via a new `grid_tasks` table (`FOR UPDATE SKIP LOCKED` claim
from Rust, Postgrex `NOTIFY propagation_ready` back to Elixir). Rust
writes the same on-disk score-grid format Elixir already uses, to the
same `/data/scores` NFS tree. Phase 1 ships in shadow mode with
PROP_SCORES_DIR=/data/scores_shadow.
Rust crate layout at `rust/prop_grid_rs/` (1:1 module parity with the
Elixir source it ports):
- grid, region, band_config, scores_file, sounding_params
- scorer: all 10 factors + composite. Matches the Elixir scorer
byte-for-byte across 115 golden-fixture samples (5 scenarios
× 23 bands).
- decoder: wgrib2 subprocess + Fortran-record lola-binary parser
- fetcher: HRRR URL derivation + idx cache (1h TTL) + 8-way
parallel byte-range downloads with 429/5xx retry
- pipeline: end-to-end chain step, f00 rejected at the boundary
- db: sqlx grid_tasks claim/complete + propagation_ready NOTIFY
- bin/worker: tokio main loop, JSON logs, SIGTERM-safe
91 Rust tests + clippy -D warnings clean. 2,158 Elixir tests green.
Elixir additions:
- `GridTaskEnqueuer` seeds fh=1..18 rows from
`PropagationGridWorker.seed_chain/0`
- `NotifyListener` LISTEN → warm `ScoreCache` → PubSub fan-out
- `ShadowComparator` diffs prod vs shadow `.ntms` bodies
- `mix rust.golden` task writes the Rust-side golden fixture
k8s: new `deployment-grid-rs.yaml` pinned to talos5 (32 GB NUC) via
`prop-grid-rs=primary` nodeSelector + `workload=grid-rs:NoSchedule`
toleration, 512 Mi limit, sharing the existing NFS `/data` mount.
The plan document is at `plans/vivid-hatching-quail.md` (local to my
workstation); phases 2 (cutover) and 3 (talos5 concurrency tuning)
follow after 72h of shadow-mode parity.
Telemetry showed the application-master process holding ~830 MiB of
terms from warm_grid_cache_from_latest_profile — the data lives in
the app master's heap and never GCs because the process is idle.
Running it in a Task.start lets the terms die with the task.
Mark GridCache, MrmsCache, NexradCache, and ScoreCache ETS tables
:compressed. The scored-band-map and HRRR grid data are map-heavy;
compression trims hundreds of MiB at a few percent CPU cost.
Memoise HRRR .idx responses in Microwaveprop.Cache. Published idx
files are immutable for a model run, but the hourly chain re-fetches
the same URL dozens of times across forecast hours. Cuts ~10s per
repeat out of hrrr_fetch_idx.
Force a garbage collect at the end of HrrrFetchWorker.perform to
reclaim the refc binary heap held from GRIB2 ranges before the Oban
producer hands the process its next job.
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.
Flagged contacts were only reachable from the contact detail page;
once the Flag column came off the /contacts index there was no
at-a-glance view of what's been flagged. Add a second table on the
admin contact-edits page (below the pending-edits table) that lists
every flagged contact newest-first with a direct View link. Hidden
entirely when nothing is flagged.
The `!` flag column was a tiny sliver that rarely fired in practice
and was pushing more useful columns offscreen on narrow layouts. The
underlying `flagged_invalid` field stays on the schema for the detail
page; only the index column goes.
Row-level privacy was already correct: private rows only render for
the owner and admins. The header column was still showing for every
viewer, leaving an always-empty slot for anyone without private
contacts of their own. Drop `:private` from the fields list unless
the scope can actually see at least one private row.
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.
Every parser already returned nil on malformed input, so the ||
chains fell through to defaults — except parse_time_param, which
happily accepted any well-formed ISO8601 even if it pointed
outside the current HRRR forecast window (e.g. a stale shared
link from last week). Gate it behind the valid-times window and
fall back to the normal 'now' cursor when it's out of range.
Adds explicit coverage: non-numeric band, unknown band MHz,
non-numeric lat/lon/zoom, out-of-range values, malformed time,
ancient time, and all-params-garbage-at-once. Each case mounts
cleanly and lands on the defaults.
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.
Both the Elixir initial-cursor pick and the JS timeline renderer
used nearest-by-absolute-distance, so any wall-clock time past
:30 snapped the 'Now' label onto the next top-of-hour forecast —
up to ~30 min in the future. Switch to the latest valid_time at
or before wall-clock, with a fallback to the earliest time when
every slot is future (shouldn't happen for HRRR, safe default).
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.
