prop/lib/microwaveprop/pskr/aggregator.ex
Graham McIntire cfc5f7583f
feat(pskr): ingest PSK Reporter MQTT firehose for weather correlation
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.
2026-05-04 09:24:20 -05:00

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defmodule Microwaveprop.Pskr.Aggregator do
@moduledoc """
In-memory accumulator for incoming PSK Reporter spots.
The MQTT firehose can push 500+ messages/second when subscribed
broadly. Writing each spot as a row would (a) saturate the
Postgres write path and (b) bloat the dataset 50× because every
QSO is heard by many reporters. This GenServer keeps a small
state map keyed by `Pskr.path_key/1`, folds each spot into the
matching row with `Pskr.merge_spot/2`, and periodically batches
the whole map into a single `Repo.insert_all/3` upsert.
Conflict handling is additive: when a row with the same
`(hour_utc, band, sender_grid, receiver_grid)` already exists in
the DB, the upsert merges counts, expands the SNR envelope, and
unions the mode set rather than overwriting. That makes flushes
idempotent in the face of overlap (e.g. a flush firing a few
seconds before the hour boundary).
Memory profile: each pending row is small (~200 bytes), and the
unique key space is bounded by `bands × paths_per_hour`. With our
CONUS-anchored topic filter that's typically a few thousand keys
per hour — flushed every minute, the working set never exceeds a
handful of MiB.
"""
use GenServer
import Ecto.Query
alias Microwaveprop.Pskr
alias Microwaveprop.Pskr.SpotHourly
alias Microwaveprop.Repo
require Logger
@default_flush_ms 60_000
@spec start_link(keyword()) :: GenServer.on_start()
def start_link(opts \\ []) do
{name, opts} = Keyword.pop(opts, :name, __MODULE__)
GenServer.start_link(__MODULE__, opts, name: name)
end
@doc "Push one raw MQTT payload (binary JSON) into the accumulator."
@spec ingest(GenServer.server(), binary()) :: :ok
def ingest(server \\ __MODULE__, payload) when is_binary(payload) do
GenServer.cast(server, {:ingest, payload})
end
@doc "Force a synchronous flush. Returns the number of rows written."
@spec flush(GenServer.server()) :: non_neg_integer()
def flush(server \\ __MODULE__) do
GenServer.call(server, :flush, 30_000)
end
@doc "Inspect the current pending row count without flushing."
@spec pending_count(GenServer.server()) :: non_neg_integer()
def pending_count(server \\ __MODULE__), do: GenServer.call(server, :pending_count)
@impl true
def init(opts) do
flush_ms = Keyword.get(opts, :flush_ms, @default_flush_ms)
if flush_ms > 0, do: schedule_flush(flush_ms)
{:ok, %{rows: %{}, parsed: 0, dropped: 0, flush_ms: flush_ms}}
end
@impl true
def handle_cast({:ingest, payload}, state) do
case Pskr.parse_spot(payload) do
{:ok, spot} ->
key = Pskr.path_key(spot)
rows = Map.update(state.rows, key, Pskr.merge_spot(nil, spot), &Pskr.merge_spot(&1, spot))
{:noreply, %{state | rows: rows, parsed: state.parsed + 1}}
{:error, _reason} ->
{:noreply, %{state | dropped: state.dropped + 1}}
end
end
@impl true
def handle_call(:flush, _from, state) do
written = do_flush(state.rows)
{:reply, written, %{state | rows: %{}}}
end
def handle_call(:pending_count, _from, state) do
{:reply, map_size(state.rows), state}
end
@impl true
def handle_info(:flush_tick, state) do
written = do_flush(state.rows)
if written > 0 or state.dropped > 0 do
Logger.info("Pskr.Aggregator flushed #{written} rows (parsed #{state.parsed}, dropped #{state.dropped})")
end
schedule_flush(state.flush_ms)
{:noreply, %{state | rows: %{}, parsed: 0, dropped: 0}}
end
defp schedule_flush(ms) when ms > 0, do: Process.send_after(self(), :flush_tick, ms)
defp schedule_flush(_), do: :ok
defp do_flush(rows) when map_size(rows) == 0, do: 0
defp do_flush(rows) do
now = DateTime.truncate(DateTime.utc_now(), :second)
entries =
rows
|> Map.values()
|> Enum.map(&Map.merge(&1, %{inserted_at: now, updated_at: now}))
{count, _} =
Repo.insert_all(SpotHourly, entries,
on_conflict:
from(s in SpotHourly,
update: [
set: [
spot_count: fragment("? + EXCLUDED.spot_count", s.spot_count),
max_snr_db: fragment("GREATEST(?, EXCLUDED.max_snr_db)", s.max_snr_db),
min_snr_db: fragment("LEAST(?, EXCLUDED.min_snr_db)", s.min_snr_db),
modes: fragment("ARRAY(SELECT DISTINCT unnest(? || EXCLUDED.modes))", s.modes),
first_spot_at: fragment("LEAST(?, EXCLUDED.first_spot_at)", s.first_spot_at),
last_spot_at: fragment("GREATEST(?, EXCLUDED.last_spot_at)", s.last_spot_at),
updated_at: fragment("EXCLUDED.updated_at")
]
]
),
conflict_target: [:hour_utc, :band, :sender_grid, :receiver_grid]
)
count
end
end