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Author SHA1 Message Date
f668b457cb
feat(pskr): enqueue hrrr_fetch_tasks for cells missing HRRR data
The CalibrationSampler joined PSKR midpoints against hrrr_profiles via
nearest-within-window, but post-Phase-3 Stream C nothing bulk-populates
the grid — hrrr_profiles only sees per-QSO point fetches from the Rust
hrrr-point-worker. Result: 0 / 16,042 prod samples had HRRR data.

Producer pattern: when a cell has no profile in the lookahead window,
enqueue a row into hrrr_fetch_tasks at the cell's HRRR-grid-rounded
midpoint. The Rust worker drains it; the next 5-min rolling-window
pass UPSERTs the same sample with non-NULL weather fields. Idempotent
with the existing on-conflict design — no extra worker, no churn on
cells already covered, multiple bands sharing a midpoint dedupe to a
single fetch via Enum.uniq + jsonb point-union in HrrrPointEnqueuer.
2026-05-05 16:14:43 -05:00
7a2b1f292c
feat(pskr): hourly calibration sampler joining spots × HRRR × Kp
PSK Reporter is now an always-on data feed, so the calibration
corpus that recalibration will eventually train against can grow
hourly from when the firehose started. One row per (hour, band,
0.125° midpoint cell) joins three sources:

  * `pskr_spots_hourly` — observed spot density (truth signal)
  * `hrrr_profiles` nearest match at the cell midpoint at hour
    boundary (atmospheric features: T, Td, PWAT, P, dN/dh, HPBL,
    ducting flag)
  * `geomagnetic_observations` latest Kp at the hour (space weather)

Predicted scores are intentionally NOT stored — they're a function
of the algorithm version under evaluation. Storing only features
keeps the corpus stable across every weight refit; the recalibrator
computes predictions on demand.

Components:

  * Migration `20260504210756_create_pskr_calibration_samples` —
    new table + unique index on (hour, band, midpoint_lat, lon),
    plus a midpoint spatial index on `pskr_spots_hourly` to keep
    the join cheap.
  * `Pskr.CalibrationSample` — schema mirror of the table with
    the same `(hour, band, midpoint_lat, lon)` unique constraint.
  * `Pskr.CalibrationSampler.build_for_hour/1` — pulls all spots
    for the hour, snaps midpoints to the propagation grid (0.125°),
    builds an in-memory HRRR index over a ±0.07°/±60 min window,
    and bulk-upserts samples. Idempotent — re-runs upsert.
  * `Workers.PskrCalibrationWorker` — Oban cron entry on the
    `:backfill_enqueue` queue. Default args target the previous
    full hour; explicit `hour_utc` arg reruns any hour.
  * Cron `25 * * * *` — fires past HRRR analysis publish window
    (~HH:50→HH:05) and PSKR aggregator's 60s flush.

Forward-only: PSKR has no historical archive, so the corpus only
grows from when the feed started. Recalibration weight refits
should wait for ~30 days / ~10k samples to cover diurnal and
synoptic variability.

Tests cover cell-snapping, HRRR feature joining, Kp stamping,
median-distance aggregation, mode dedup, idempotent reruns, and
the worker's default-hour and explicit-hour args (12 new tests,
all passing).

Backfill pipeline untouched — none of these changes feed into
contact enrichment.
2026-05-04 16:12:47 -05:00