prop/test/microwaveprop/propagation/path_compute_test.exs
Graham McIntire 888701e627
test: bump coverage 80% -> 81.3% via more LiveView + module tests
- Pskr.Client: 0% -> 18% (init/standby/handle_info/terminate)
- RoverPlanningLive.PathShow: 0% -> 82% (mount/load_path)
- Rover.CandidateDetail: 0% -> partial (summarize/5 with stations)
- Mix.Tasks.Weather.RebatchAsos: 0% -> covered (wrapper run/1)
- HrrrNativeClient: 57% -> 67% (fetch_native_duct_grid error paths)
- RoverLive: 40% -> 48% (toggle/delete/update_station_grid logged-in)
- PathLive: 62% -> 63% (path_forecast_detail + rover_path_id branches)
- PathCompute: 64% -> 64% (compute/4 full pipeline + resolve_location)
- SkewtLive: 29% -> 31% (search/select_time event no-ops)
- SkewtLocationResolver: 38% -> 60%+ (callsign cache + error paths)

3557 tests passing.
2026-05-08 09:10:34 -05:00

234 lines
8.6 KiB
Elixir

defmodule Microwaveprop.Propagation.PathComputeTest do
use Microwaveprop.DataCase, async: false
use ExUnitProperties
alias Microwaveprop.Propagation.BandConfig
alias Microwaveprop.Propagation.PathCompute
describe "compute_loss_budget/5" do
test "fspl increases with distance" do
band = BandConfig.get(10_000)
near = PathCompute.compute_loss_budget(10.0, 10.0, band, nil, nil)
far = PathCompute.compute_loss_budget(100.0, 10.0, band, nil, nil)
assert near.fspl < far.fspl
assert near.total < far.total
end
test "fspl increases with frequency" do
band_10g = BandConfig.get(10_000)
band_24g = BandConfig.get(24_000)
low = PathCompute.compute_loss_budget(50.0, 10.0, band_10g, nil, nil)
high = PathCompute.compute_loss_budget(50.0, 24.0, band_24g, nil, nil)
assert low.fspl < high.fspl
end
test "gas absorption losses with default humidity when conditions absent" do
band = BandConfig.get(10_000)
result = PathCompute.compute_loss_budget(50.0, 10.0, band, nil, nil)
assert result.o2 >= 0
assert result.h2o >= 0
end
test "higher bands have more h2o absorption" do
band_10g = BandConfig.get(10_000)
band_75g = BandConfig.get(75_000)
low = PathCompute.compute_loss_budget(50.0, 10.0, band_10g, nil, nil)
high = PathCompute.compute_loss_budget(50.0, 75.0, band_75g, nil, nil)
assert low.h2o <= high.h2o
end
test "rain loss is zero when there's no rain" do
band = BandConfig.get(10_000)
conditions = %{rain_rate_mmhr: 0.0, abs_humidity: 7.5}
result = PathCompute.compute_loss_budget(50.0, 10.0, band, nil, conditions)
assert result.rain == 0.0
end
test "rain loss is positive when it's raining" do
band = BandConfig.get(10_000)
conditions = %{rain_rate_mmhr: 5.0, abs_humidity: 7.5}
result = PathCompute.compute_loss_budget(50.0, 10.0, band, nil, conditions)
assert result.rain > 0
end
test "diffraction loss is included when terrain result is present" do
band = BandConfig.get(10_000)
terrain = %{analysis: %{diffraction_db: 15.0}}
result = PathCompute.compute_loss_budget(50.0, 10.0, band, terrain, nil)
assert result.diffraction == 15.0
end
test "diffraction loss is zero when no terrain result" do
band = BandConfig.get(10_000)
result = PathCompute.compute_loss_budget(50.0, 10.0, band, nil, nil)
assert result.diffraction == 0.0
end
end
describe "compute_loss_budget/5 property" do
property "total is always >= fspl" do
check all(
dist_km <- float(min: 0.1, max: 500),
band_config = BandConfig.get(10_000)
) do
result = PathCompute.compute_loss_budget(dist_km, 10.0, band_config, nil, nil)
assert result.total >= result.fspl
assert result.total > 0
end
end
property "all loss components are non-negative across known bands" do
bands = [50, 144, 222, 432, 902, 1_296, 2_304, 3_400, 5_760, 10_000, 24_000, 47_000, 75_000]
check all(
dist_km <- float(min: 0.1, max: 500),
band_mhz <- member_of(bands)
) do
band_config = BandConfig.get(band_mhz)
freq_ghz = band_mhz / 1000
result = PathCompute.compute_loss_budget(dist_km, freq_ghz, band_config, nil, nil)
assert result.fspl >= 0
assert result.o2 >= 0
assert result.h2o >= 0
assert result.rain >= 0
assert result.diffraction >= 0
end
end
end
describe "resolve_location/1" do
test "parses a coordinate pair" do
assert {:ok, %{lat: 32.9, lon: -96.8}} = PathCompute.resolve_location("32.9, -96.8")
end
test "parses a Maidenhead grid" do
assert {:ok, %{kind: :grid, label: "EM12"}} = PathCompute.resolve_location("EM12")
end
test "blank input returns the location-required error" do
assert {:error, "Location is required"} = PathCompute.resolve_location("")
assert {:error, "Location is required"} = PathCompute.resolve_location(nil)
end
end
describe "build_ionosphere_readout/4" do
test "returns nil for non-ionosphere bands (microwave)" do
assert PathCompute.build_ionosphere_readout(10_000, 32.9, -96.8, 100.0) == nil
assert PathCompute.build_ionosphere_readout(24_000, 32.9, -96.8, 100.0) == nil
end
test "returns nil for bands the readout does not handle (e.g. 902 MHz)" do
# The function only opens up for [50, 144, 222, 432]; 902 falls
# through to the catch-all clause.
assert PathCompute.build_ionosphere_readout(902, 32.9, -96.8, 100.0) == nil
end
test "returns nil when band is supported but no ionosphere data is available" do
# 6m and 2m hit the `Ionosphere.nearest_foes/2` path; with an empty
# test DB the function returns `{:error, :no_data}` and the
# readout falls through to the catch-all `nil` arm.
assert PathCompute.build_ionosphere_readout(50, 32.9, -96.8, 100.0) == nil
assert PathCompute.build_ionosphere_readout(144, 32.9, -96.8, 100.0) == nil
end
end
describe "compute/4 — full pipeline" do
setup do
Req.Test.stub(Microwaveprop.Terrain.ElevationClient, fn conn ->
params = Plug.Conn.fetch_query_params(conn).query_params
lat_count = params["latitude"] |> String.split(",") |> length()
Req.Test.json(conn, %{"elevation" => List.duplicate(200.0, lat_count)})
end)
:ok
end
@station_params %{
src_height_m: 10.0,
dst_height_m: 10.0,
tx_power_dbm: 30.0,
src_gain_dbi: 20.0,
dst_gain_dbi: 20.0
}
test "computes a result for a coordinate-pair input" do
assert {:ok, result} =
PathCompute.compute("32.9, -97.0", "33.5, -96.5", 10_000, @station_params)
assert result.band_mhz == 10_000
assert result.dist_km > 0
assert is_float(result.bearing)
assert is_map(result.loss_budget)
assert is_map(result.power_budget)
# No HRRR profiles in the test DB → empty hrrr_points.
assert is_list(result.hrrr_points)
# Microwave band → no ionosphere readout.
assert result.ionosphere == nil
# No sounding rows in the test DB.
assert result.sounding == nil
end
test "returns {:error, _} when source resolution fails" do
assert {:error, _msg} =
PathCompute.compute("", "32.9, -97.0", 10_000, @station_params)
end
test "returns {:error, _} when destination resolution fails" do
assert {:error, _msg} =
PathCompute.compute("32.9, -97.0", "", 10_000, @station_params)
end
test "falls back to a default band config for unknown band_mhz" do
# Unknown band falls back to BandConfig.get(10_000).
assert {:ok, result} =
PathCompute.compute("32.9, -97.0", "33.5, -96.5", 9_999, @station_params)
assert result.band_mhz == 9_999
# Result band_config should be the 10G default.
assert result.band_config
end
test "60 GHz band exercises the high-h2o-absorption path" do
assert {:ok, result} =
PathCompute.compute("32.9, -97.0", "33.5, -96.5", 47_000, @station_params)
# 47 GHz has substantially more h2o absorption than 10 GHz.
assert result.loss_budget.h2o > 0
end
test "Maidenhead grid input round-trips through resolve" do
assert {:ok, result} =
PathCompute.compute("EM12", "EM13", 10_000, @station_params)
assert result.dist_km > 0
assert result.source.kind == :grid
assert result.destination.kind == :grid
end
end
describe "compute_power_budget/2" do
test "computes rx power and margins" do
loss = %{total: 140.0, fspl: 130.0, o2: 3.0, h2o: 5.0, rain: 0.0, diffraction: 2.0}
params = %{tx_power_dbm: 30.0, src_gain_dbi: 20.0, dst_gain_dbi: 20.0}
result = PathCompute.compute_power_budget(params, loss)
# EIRP = tx_power + src_gain = 50 dBm
assert_in_delta result.eirp_dbm, 50.0, 0.1
# rx_power = eirp - loss + dst_gain
assert_in_delta result.rx_power_dbm, -70.0, 0.1
# margin_cw = rx_power - (-140)
assert_in_delta result.margin_cw, 70.0, 0.1
end
test "higher tx power improves margins" do
loss = %{total: 140.0, fspl: 130.0, o2: 3.0, h2o: 5.0, rain: 0.0, diffraction: 2.0}
low = PathCompute.compute_power_budget(%{tx_power_dbm: 20.0, src_gain_dbi: 10.0, dst_gain_dbi: 10.0}, loss)
high = PathCompute.compute_power_budget(%{tx_power_dbm: 30.0, src_gain_dbi: 20.0, dst_gain_dbi: 20.0}, loss)
assert low.rx_power_dbm < high.rx_power_dbm
assert low.margin_cw < high.margin_cw
end
end
end