test(property): add property tests for propagation scoring + CIDR matcher

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Graham McIntire 2026-04-21 13:57:12 -05:00
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defmodule Microwaveprop.Propagation.BandConfigPropertyTest do
@moduledoc """
Property tests for `Microwaveprop.Propagation.BandConfig`
exercises the data-driven invariants that the scorer relies on
(every band has the right shape; weights sum to 1.0; seasonal
tables cover all 12 months).
"""
use ExUnit.Case, async: true
use ExUnitProperties
alias Microwaveprop.Propagation.BandConfig
defp band_config_gen, do: StreamData.member_of(BandConfig.all_bands())
defp freq_gen, do: StreamData.member_of(BandConfig.all_freqs())
defp month_gen, do: StreamData.integer(1..12)
property "get/1 returns a well-formed struct for every supported frequency" do
check all(freq <- freq_gen()) do
band = BandConfig.get(freq)
assert is_map(band)
assert band.freq_mhz == freq
assert is_binary(band.label)
assert band.humidity_effect in [:beneficial, :harmful]
assert is_map(band.seasonal_base)
assert is_map(band.seasonal_adj)
end
end
property "every band's seasonal_base covers all 12 months with 0..100 integers" do
check all(band <- band_config_gen()) do
Enum.each(1..12, fn month ->
value = Map.fetch!(band.seasonal_base, month)
assert is_integer(value)
assert value in 0..100
end)
end
end
property "weights/1 returns a map whose values sum to ~1.0" do
check all(band <- band_config_gen()) do
weights = BandConfig.weights(band)
total = weights |> Map.values() |> Enum.sum()
assert_in_delta total, 1.0, 1.0e-3
end
end
property "weights/1 covers exactly the ten scoring factors" do
# The scorer reduces over a factors map with these keys; if a band
# ever dropped one, `Map.fetch!` in `composite_score/2` would crash.
expected = MapSet.new(~w(humidity time_of_day td_depression refractivity sky season wind rain pressure pwat)a)
check all(band <- band_config_gen()) do
keys = band |> BandConfig.weights() |> Map.keys() |> MapSet.new()
assert keys == expected
end
end
property "weights/1 accepts nil and maps without override, returning the global defaults" do
defaults = BandConfig.weights()
check all(band <- band_config_gen()) do
# A band without its own `:weights` falls through to defaults.
if Map.has_key?(band, :weights) do
assert is_map(BandConfig.weights(band))
else
assert BandConfig.weights(band) == defaults
end
end
assert BandConfig.weights(nil) == defaults
end
property "unknown frequencies return nil from get/1" do
known = MapSet.new(BandConfig.all_freqs())
check all(freq <- StreamData.integer(1..1_000_000), freq not in known) do
assert BandConfig.get(freq) == nil
end
end
property "sunrise_table returns 12 numeric entries in a plausible hour range" do
table = BandConfig.sunrise_table()
assert length(table) == 12
check all(idx <- StreamData.integer(0..11)) do
entry = Enum.at(table, idx)
assert is_number(entry)
assert entry >= 4.0 and entry <= 9.0
end
end
property "humidity_beneficial_thresholds are strictly increasing in the threshold value" do
thresholds = BandConfig.humidity_beneficial_thresholds()
cutoffs = Enum.map(thresholds, fn {cutoff, _score} -> cutoff end)
assert cutoffs == Enum.sort(cutoffs)
assert length(Enum.uniq(cutoffs)) == length(cutoffs)
end
property "refractivity_thresholds are strictly decreasing (more negative gradient first)" do
# `find_refractivity_threshold/3` walks the list and picks the
# first cutoff greater than the observed gradient — the ordering
# is what makes that correct.
cutoffs =
Enum.map(BandConfig.refractivity_thresholds(), fn {cutoff, _b, _h} -> cutoff end)
assert cutoffs == Enum.sort(cutoffs)
assert length(Enum.uniq(cutoffs)) == length(cutoffs)
end
property "tiers are ordered descending by min_score and cover 0..100" do
tiers = BandConfig.tiers()
min_scores = Enum.map(tiers, & &1.min_score)
assert min_scores == Enum.sort(min_scores, :desc)
assert List.last(min_scores) == 0
assert hd(min_scores) <= 100
check all(s <- StreamData.integer(0..100)) do
# Every score in 0..100 matches at least one tier.
assert Enum.any?(tiers, fn tier -> s >= tier.min_score end)
end
end
property "band_options pairs each band label with its stringified freq_mhz" do
options = BandConfig.band_options()
assert length(options) == length(BandConfig.all_bands())
check all({label, value} <- StreamData.member_of(options)) do
assert is_binary(label)
assert is_binary(value)
{freq, ""} = Integer.parse(value)
band = BandConfig.get(freq)
assert band.label == label
end
end
property "every month has a non-negative seasonal_adj value for every band" do
check all(band <- band_config_gen(), month <- month_gen()) do
# The adjustment map is sparse — nil for missing entries is fine,
# but any explicit entry must be a number.
case Map.get(band.seasonal_adj, month) do
nil -> :ok
value -> assert is_number(value)
end
end
end
end

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defmodule Microwaveprop.Propagation.ScorerPropertyTest do
@moduledoc """
Property tests for the pure scoring functions in
`Microwaveprop.Propagation.Scorer`. Each property exercises ONE
invariant composite score bounds, per-factor bounds, monotonicity
where expected, and the nil-handling contract.
"""
use ExUnit.Case, async: true
use ExUnitProperties
alias Microwaveprop.Propagation.BandConfig
alias Microwaveprop.Propagation.Scorer
# ── Generators ──────────────────────────────────────────────────
# All configured bands — harmful (24+ GHz) and beneficial (10 GHz and
# below) are both represented. A property that needs the opposite
# humidity effect can filter after generating.
defp band_config_gen do
StreamData.member_of(BandConfig.all_bands())
end
defp beneficial_band_gen do
StreamData.bind(band_config_gen(), fn band ->
if band.humidity_effect == :beneficial do
StreamData.constant(band)
else
StreamData.filter(band_config_gen(), &(&1.humidity_effect == :beneficial))
end
end)
end
defp harmful_band_gen do
StreamData.bind(band_config_gen(), fn band ->
if band.humidity_effect == :harmful do
StreamData.constant(band)
else
StreamData.filter(band_config_gen(), &(&1.humidity_effect == :harmful))
end
end)
end
defp latitude_gen, do: StreamData.float(min: 25.0, max: 50.0)
defp longitude_gen, do: StreamData.float(min: -125.0, max: -66.0)
defp month_gen, do: StreamData.integer(1..12)
defp hour_gen, do: StreamData.integer(0..23)
defp minute_gen, do: StreamData.integer(0..59)
# A self-consistent conditions map accepted by `composite_score/2`.
# Dewpoint is bounded above by temperature so the T-Td depression
# never goes negative.
defp conditions_gen do
gen all(
temp_f <- StreamData.float(min: -20.0, max: 110.0),
# 0..60°F spread
depression <- StreamData.float(min: 0.0, max: 60.0),
wind_ms <- StreamData.float(min: 0.0, max: 40.0),
sky_pct <- StreamData.float(min: 0.0, max: 100.0),
pressure_mb <- StreamData.float(min: 950.0, max: 1050.0),
rain_mmhr <- StreamData.float(min: 0.0, max: 80.0),
pwat_mm <- StreamData.float(min: 0.0, max: 60.0),
grad <- StreamData.float(min: -400.0, max: 50.0),
hpbl <- StreamData.float(min: 50.0, max: 3000.0),
month <- month_gen(),
hour <- hour_gen(),
minute <- minute_gen(),
lat <- latitude_gen(),
lon <- longitude_gen()
) do
dewpoint_f = temp_f - depression
temp_c = (temp_f - 32) * 5 / 9
dew_c = (dewpoint_f - 32) * 5 / 9
%{
abs_humidity: Scorer.absolute_humidity(temp_c, dew_c),
temp_f: temp_f,
dewpoint_f: dewpoint_f,
wind_speed_kts: wind_ms * 1.94384,
sky_cover_pct: sky_pct,
utc_hour: hour,
utc_minute: minute,
month: month,
latitude: lat,
longitude: lon,
pressure_mb: pressure_mb,
prev_pressure_mb: nil,
rain_rate_mmhr: rain_mmhr,
min_refractivity_gradient: grad,
bl_depth_m: hpbl,
pwat_mm: pwat_mm
}
end
end
# ── score_humidity/2 ────────────────────────────────────────────
property "score_humidity is always in 0..100 (beneficial bands)" do
check all(
ah <- StreamData.float(min: 0.0, max: 40.0),
band <- beneficial_band_gen()
) do
score = Scorer.score_humidity(ah, band)
assert is_integer(score)
assert score in 0..100
end
end
property "score_humidity is always in 0..100 (harmful bands)" do
check all(
ah <- StreamData.float(min: 0.0, max: 40.0),
band <- harmful_band_gen()
) do
score = Scorer.score_humidity(ah, band)
assert is_integer(score)
assert score in 0..100
end
end
property "score_humidity is monotonically non-increasing in humidity (harmful bands)" do
# More absolute humidity → more absorption → never a higher score.
check all(
band <- harmful_band_gen(),
ah_lo <- StreamData.float(min: 0.0, max: 20.0),
delta <- StreamData.float(min: 0.0, max: 20.0)
) do
ah_hi = ah_lo + delta
assert Scorer.score_humidity(ah_hi, band) <= Scorer.score_humidity(ah_lo, band)
end
end
# ── score_td_depression/3 ───────────────────────────────────────
property "score_td_depression always in 0..100 for any band" do
check all(
temp_f <- StreamData.float(min: -40.0, max: 120.0),
dewpoint_f <- StreamData.float(min: -50.0, max: 120.0),
band <- band_config_gen()
) do
score = Scorer.score_td_depression(temp_f, dewpoint_f, band)
assert is_integer(score)
assert score in 0..100
end
end
property "score_td_depression is monotonically non-decreasing in depression (harmful bands)" do
# Dry air (wide T-Td depression) reduces water-vapour absorption.
check all(
band <- harmful_band_gen(),
temp_f <- StreamData.float(min: 20.0, max: 100.0),
dep_lo <- StreamData.float(min: 0.0, max: 30.0),
delta <- StreamData.float(min: 0.0, max: 20.0)
) do
dep_hi = dep_lo + delta
score_lo = Scorer.score_td_depression(temp_f, temp_f - dep_lo, band)
score_hi = Scorer.score_td_depression(temp_f, temp_f - dep_hi, band)
assert score_hi >= score_lo
end
end
# ── score_refractivity/4,5 ──────────────────────────────────────
property "score_refractivity returns 50 for nil gradient regardless of other inputs" do
check all(
bl <- StreamData.one_of([StreamData.constant(nil), StreamData.float(min: 0.0, max: 3000.0)]),
band <- band_config_gen()
) do
assert Scorer.score_refractivity(nil, bl, band) == 50
end
end
property "score_refractivity is in 0..100 for any gradient / band / HPBL / duct / richardson" do
check all(
grad <- StreamData.float(min: -800.0, max: 200.0),
bl <- StreamData.one_of([StreamData.constant(nil), StreamData.float(min: 0.0, max: 3000.0)]),
duct_ghz <- StreamData.one_of([StreamData.constant(nil), StreamData.float(min: 0.0, max: 300.0)]),
richardson <-
StreamData.one_of([StreamData.constant(nil), StreamData.float(min: 0.0, max: 100.0)]),
band <- band_config_gen()
) do
score = Scorer.score_refractivity(grad, bl, duct_ghz, richardson, band)
assert is_integer(score)
assert score in 0..100
end
end
# ── score_sky/1 ─────────────────────────────────────────────────
property "score_sky always in 0..100 and monotonically non-increasing in cloudiness" do
check all(
pct_lo <- StreamData.float(min: 0.0, max: 100.0),
delta <- StreamData.float(min: 0.0, max: 100.0)
) do
pct_hi = min(100.0, pct_lo + delta)
s_lo = Scorer.score_sky(pct_lo)
s_hi = Scorer.score_sky(pct_hi)
assert s_lo in 0..100
assert s_hi in 0..100
assert s_hi <= s_lo
end
end
# ── score_wind/1 ────────────────────────────────────────────────
property "score_wind always in 0..100 and monotonically non-increasing in wind speed" do
check all(
lo <- StreamData.float(min: 0.0, max: 60.0),
delta <- StreamData.float(min: 0.0, max: 60.0)
) do
hi = lo + delta
s_lo = Scorer.score_wind(lo)
s_hi = Scorer.score_wind(hi)
assert s_lo in 0..100
assert s_hi in 0..100
assert s_hi <= s_lo
end
end
# ── score_rain/2 ────────────────────────────────────────────────
property "score_rain returns 100 for no rain (nil or 0) across every band" do
check all(band <- band_config_gen()) do
assert Scorer.score_rain(nil, band) == 100
assert Scorer.score_rain(0, band) == 100
assert Scorer.score_rain(0.0, band) == 100
end
end
property "score_rain always in 0..100 and monotonically non-increasing in rain rate" do
check all(
band <- band_config_gen(),
rate_lo <- StreamData.float(min: 0.0, max: 40.0),
delta <- StreamData.float(min: 0.0, max: 40.0)
) do
rate_hi = rate_lo + delta
s_lo = Scorer.score_rain(rate_lo, band)
s_hi = Scorer.score_rain(rate_hi, band)
assert s_lo in 0..100
assert s_hi in 0..100
assert s_hi <= s_lo
end
end
# ── score_pwat/2 ────────────────────────────────────────────────
property "score_pwat always in 0..100 for any band" do
check all(
pwat <- StreamData.float(min: 0.0, max: 80.0),
band <- band_config_gen()
) do
score = Scorer.score_pwat(pwat, band)
assert is_integer(score)
assert score in 0..100
end
end
property "score_pwat returns 60 for nil input on every band" do
check all(band <- band_config_gen()) do
assert Scorer.score_pwat(nil, band) == 60
end
end
# ── score_pressure/2 ────────────────────────────────────────────
property "score_pressure always in 0..100" do
check all(
current <- StreamData.one_of([StreamData.constant(nil), StreamData.float(min: 900.0, max: 1080.0)]),
previous <- StreamData.one_of([StreamData.constant(nil), StreamData.float(min: 900.0, max: 1080.0)])
) do
score = Scorer.score_pressure(current, previous)
assert is_integer(score)
assert score in 0..100
end
end
# ── score_season/4 ──────────────────────────────────────────────
property "score_season always in 0..100 for any band/month/point" do
check all(
month <- month_gen(),
lat <- latitude_gen(),
lon <- longitude_gen(),
band <- band_config_gen()
) do
score = Scorer.score_season(month, lat, lon, band)
assert is_integer(score)
assert score in 0..100
end
end
property "score_season accepts nil lat/lon (no regional adjustment)" do
check all(
month <- month_gen(),
band <- band_config_gen()
) do
score = Scorer.score_season(month, nil, nil, band)
assert is_integer(score)
assert score in 0..100
end
end
# ── score_time_of_day/4 ─────────────────────────────────────────
property "score_time_of_day always in 0..100 and returns a string label" do
check all(
hour <- hour_gen(),
minute <- minute_gen(),
month <- month_gen(),
lon <- longitude_gen()
) do
{score, label} = Scorer.score_time_of_day(hour, minute, month, lon)
assert score in 0..100
assert is_binary(label)
assert label != ""
end
end
# ── composite_score/2 ───────────────────────────────────────────
property "composite_score is integer in 0..100 with a factors map" do
check all(
conds <- conditions_gen(),
band <- band_config_gen()
) do
%{score: score, factors: factors} = Scorer.composite_score(conds, band)
assert is_integer(score)
assert score in 0..100
assert is_map(factors)
Enum.each(factors, fn {_factor, value} ->
assert is_integer(value)
assert value in 0..100
end)
end
end
property "composite_score agrees regardless of whether band invariants are pre-computed" do
check all(
conds <- conditions_gen(),
band <- band_config_gen()
) do
direct = Scorer.composite_score(conds, band)
hoisted_conds = Map.merge(conds, Scorer.precompute_band_invariants(conds))
via_hoist = Scorer.composite_score(hoisted_conds, band)
assert direct.score == via_hoist.score
assert direct.factors == via_hoist.factors
end
end
# ── commercial_link_boost/2 ─────────────────────────────────────
property "commercial_link_boost never decreases the score and stays in 0..100" do
check all(
base <- StreamData.integer(0..100),
db <- StreamData.float(min: 0.0, max: 30.0),
n_links <- StreamData.integer(0..10)
) do
deg = %{degradation_db: db, n_links: n_links}
boosted = Scorer.commercial_link_boost(base, deg)
assert boosted in 0..100
assert boosted >= base
end
end
property "commercial_link_boost with nil or zero-link map is a no-op (clamped to 0..100)" do
check all(base <- StreamData.integer(-50..150)) do
expected = base |> max(0) |> min(100)
assert Scorer.commercial_link_boost(base, nil) == expected
assert Scorer.commercial_link_boost(base, %{n_links: 0}) == expected
end
end
# ── Helpers ─────────────────────────────────────────────────────
property "dbz_to_rain_rate_mmhr clips below 5 dBZ and caps at 150 mm/hr" do
check all(dbz <- StreamData.float(min: -20.0, max: 80.0)) do
rate = Scorer.dbz_to_rain_rate_mmhr(dbz)
assert is_float(rate)
assert rate >= 0.0
assert rate <= 150.0
if dbz < 5.0, do: assert(rate == 0.0)
end
end
property "precip_to_rate_mmhr is 0 for nil / non-positive and passes through positives" do
check all(mm <- StreamData.float(min: -10.0, max: 50.0)) do
rate = Scorer.precip_to_rate_mmhr(mm)
assert is_float(rate)
assert rate >= 0.0
if mm > 0 do
assert rate == mm / 1
else
assert rate == 0.0
end
end
end
property "f_to_c and c_to_f are mutual inverses" do
check all(f <- StreamData.float(min: -100.0, max: 200.0)) do
roundtrip = f |> Scorer.f_to_c() |> Scorer.c_to_f()
assert_in_delta roundtrip, f, 1.0e-9
end
end
property "wind_speed_kts scales with Euclidean norm of (u, v)" do
check all(
u <- StreamData.float(min: -30.0, max: 30.0),
v <- StreamData.float(min: -30.0, max: 30.0)
) do
expected = :math.sqrt(u * u + v * v) * 1.94384
assert_in_delta Scorer.wind_speed_kts(u, v), expected, 1.0e-9
end
end
end

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defmodule Microwaveprop.Propagation.ScoresFilePropertyTest do
@moduledoc """
Property tests for `Microwaveprop.Propagation.ScoresFile.extract_points/2`.
No IO: we construct the decoded-payload map directly (matching the
shape `decode/1` returns) so these tests stay in the pure regime.
"""
use ExUnit.Case, async: true
use ExUnitProperties
alias Microwaveprop.Propagation.ScoresFile
@no_data 255
# ── Generators ──────────────────────────────────────────────────
defp grid_gen do
gen all(
lat_min <- float(min: 20.0, max: 30.0),
lon_min <- float(min: -130.0, max: -100.0),
step <- member_of([0.125, 0.25, 0.5]),
n_rows <- integer(2..8),
n_cols <- integer(2..8)
) do
%{lat_min: lat_min, lon_min: lon_min, step: step, n_rows: n_rows, n_cols: n_cols}
end
end
# Score bytes include the no-data sentinel (255) so `extract_points`
# has something to skip.
defp scores_body_gen(n_bytes) do
list_of(integer(0..255), length: n_bytes)
end
defp payload_gen do
gen all(
grid <- grid_gen(),
body_bytes <- scores_body_gen(grid.n_rows * grid.n_cols)
) do
body = :erlang.list_to_binary(body_bytes)
%{
band_mhz: 10_000,
valid_time: ~U[2026-04-14 18:00:00Z],
lat_min: grid.lat_min,
lon_min: grid.lon_min,
step: grid.step,
n_rows: grid.n_rows,
n_cols: grid.n_cols,
scores: body
}
end
end
# ── Properties ──────────────────────────────────────────────────
property "extract_points returns every non-sentinel cell when bounds are nil" do
check all(payload <- payload_gen()) do
points = ScoresFile.extract_points(payload, nil)
expected_count = payload.scores |> :binary.bin_to_list() |> Enum.count(&(&1 != @no_data))
assert length(points) == expected_count
end
end
property "every returned point has an integer score in 0..100 and lands on the grid" do
check all(payload <- payload_gen()) do
points = ScoresFile.extract_points(payload, nil)
Enum.each(points, fn %{lat: lat, lon: lon, score: score} ->
assert is_integer(score)
# Bodies include 0..254 (we filter 255); 101..254 are permitted
# bytes even if the scoring pipeline never writes them. What we
# care about for extraction is that bytes round-trip unchanged.
assert score in 0..254
# lat/lon fall on the declared grid.
row = round((lat - payload.lat_min) / payload.step)
col = round((lon - payload.lon_min) / payload.step)
assert row in 0..(payload.n_rows - 1)
assert col in 0..(payload.n_cols - 1)
end)
end
end
property "extract_points is idempotent under lat/lon round-tripping back into byte offsets" do
check all(payload <- payload_gen()) do
points = ScoresFile.extract_points(payload, nil)
Enum.each(points, fn %{lat: lat, lon: lon, score: score} ->
row = round((lat - payload.lat_min) / payload.step)
col = round((lon - payload.lon_min) / payload.step)
offset = row * payload.n_cols + col
assert :binary.at(payload.scores, offset) == score
end)
end
end
property "bounds-filtered output is always a subset of the unbounded output" do
check all(
payload <- payload_gen(),
south_idx <- integer(0..7),
north_idx <- integer(0..7),
west_idx <- integer(0..7),
east_idx <- integer(0..7)
) do
south = payload.lat_min + south_idx * payload.step
north = payload.lat_min + north_idx * payload.step
west = payload.lon_min + west_idx * payload.step
east = payload.lon_min + east_idx * payload.step
bounds = %{south: south, north: north, west: west, east: east}
all_points = ScoresFile.extract_points(payload, nil)
sub_points = ScoresFile.extract_points(payload, bounds)
all_set = MapSet.new(all_points)
sub_set = MapSet.new(sub_points)
assert MapSet.subset?(sub_set, all_set)
end
end
property "bounds with string keys behave identically to atom keys" do
check all(payload <- payload_gen()) do
south = payload.lat_min
north = payload.lat_min + (payload.n_rows - 1) * payload.step
west = payload.lon_min
east = payload.lon_min + (payload.n_cols - 1) * payload.step
atom_bounds = %{south: south, north: north, west: west, east: east}
string_bounds = %{"south" => south, "north" => north, "west" => west, "east" => east}
assert MapSet.new(ScoresFile.extract_points(payload, atom_bounds)) ==
MapSet.new(ScoresFile.extract_points(payload, string_bounds))
end
end
property "a grid whose body is entirely no-data yields an empty point list" do
check all(grid <- grid_gen()) do
empty_body = :binary.copy(<<@no_data>>, grid.n_rows * grid.n_cols)
payload = %{
band_mhz: 10_000,
valid_time: ~U[2026-04-14 18:00:00Z],
lat_min: grid.lat_min,
lon_min: grid.lon_min,
step: grid.step,
n_rows: grid.n_rows,
n_cols: grid.n_cols,
scores: empty_body
}
assert ScoresFile.extract_points(payload, nil) == []
end
end
end

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defmodule Microwaveprop.Weather.SoundingParamsPropertyTest do
@moduledoc """
Property tests for `Microwaveprop.Weather.SoundingParams` exercises
the `derive/1` invariants on arbitrary (but physically-plausible)
sounding profiles.
"""
use ExUnit.Case, async: true
use ExUnitProperties
alias Microwaveprop.Weather.SoundingParams
# ── Generators ──────────────────────────────────────────────────
# A realistic mandatory-level pressure sequence: surface down to the
# upper troposphere. Pressures strictly decrease. We build it by
# walking down from a surface pressure, sampling a positive
# step between each level — cheaper than `uniq_list_of` at small
# generation sizes and guaranteed to avoid duplicates.
defp pressure_levels_gen(n) when n >= 0 do
gen all(
surface <- float(min: 900.0, max: 1020.0),
steps <- list_of(float(min: 5.0, max: 60.0), length: max(n - 1, 0))
) do
{levels, _} =
Enum.reduce(steps, {[surface], surface}, fn step, {acc, prev} ->
next = prev - step
{[next | acc], next}
end)
levels
|> Enum.reverse()
|> Enum.take(n)
end
end
# A single level at a given pressure/height with temperature and
# dewpoint generated inside the level. `dwpc` is forced ≤ `tmpc` so
# the depression is physical.
defp level_gen(pres, hght) do
gen all(
tmpc <- float(min: -80.0, max: 40.0),
dep <- float(min: 0.0, max: 40.0)
) do
%{
"pres" => pres,
"tmpc" => tmpc,
"dwpc" => tmpc - dep,
"hght" => hght,
"drct" => 0.0,
"sknt" => 0.0
}
end
end
# Profile generator: heights increase strictly as pressure decreases
# (the hydrostatic atmospheric convention). Built by pairing the
# sorted pressure sequence (desc) with a heights sequence (asc,
# starting at surface elevation), then generating temps/dewpoints per
# level.
defp profile_gen(min_levels, max_levels) do
gen all(
n <- integer(min_levels..max_levels),
pressures <- pressure_levels_gen(n),
surface_hght <- float(min: 0.0, max: 3000.0),
height_steps <- list_of(float(min: 50.0, max: 1500.0), length: max(n - 1, 0)),
levels <-
surface_hght
|> heights_from_surface(height_steps, n)
|> Enum.zip(pressures)
|> Enum.map(fn {h, p} -> level_gen(p, h) end)
|> fixed_list()
) do
levels
end
end
defp heights_from_surface(surface, steps, n) do
{hs, _} =
Enum.reduce(steps, {[surface], surface}, fn step, {acc, prev} ->
next = prev + step
{[next | acc], next}
end)
hs |> Enum.reverse() |> Enum.take(n)
end
# ── derive/1 invariants ────────────────────────────────────────
property "derive/1 returns a result map whenever ≥3 valid levels are given" do
check all(profile <- profile_gen(3, 12)) do
assert %{} = result = SoundingParams.derive(profile)
assert result.level_count >= 3
assert result.level_count == length(profile)
assert is_list(result.profile)
assert is_list(result.inversions)
assert is_boolean(result.ducting_detected)
end
end
property "derive/1 returns nil when fewer than 3 valid levels are provided" do
check all(
n <- integer(0..2),
profile <- short_profile_gen(n)
) do
assert SoundingParams.derive(profile) == nil
end
end
defp short_profile_gen(n) do
gen all(
pressures <- pressure_levels_gen(n),
surface_hght <- float(min: 0.0, max: 3000.0),
height_steps <- list_of(float(min: 50.0, max: 1500.0), length: max(n - 1, 0)),
levels <-
surface_hght
|> heights_from_surface(height_steps, n)
|> Enum.zip(pressures)
|> Enum.map(fn {h, p} -> level_gen(p, h) end)
|> fixed_list()
) do
levels
end
end
property "precipitable_water_mm is non-negative when present" do
check all(profile <- profile_gen(4, 10)) do
%{precipitable_water_mm: pw} = SoundingParams.derive(profile)
assert is_number(pw)
assert pw >= 0.0
end
end
property "boundary_layer_depth_m is non-negative when it resolves" do
check all(profile <- profile_gen(4, 10)) do
case SoundingParams.derive(profile).boundary_layer_depth_m do
nil -> :ok
depth -> assert depth >= 0.0
end
end
end
property "ducting_detected agrees with duct_characteristics non-nilness" do
check all(profile <- profile_gen(4, 12)) do
%{ducting_detected: detected, duct_characteristics: chars} = SoundingParams.derive(profile)
# nil chars ⇔ no ducts detected
assert detected == (chars != nil)
end
end
property "derive/1 filters out levels missing pres/tmpc/hght before the count check" do
check all(
bad_level_count <- integer(0..3),
good_profile <- profile_gen(3, 6)
) do
bad_levels =
List.duplicate(%{"pres" => nil, "tmpc" => nil, "hght" => nil, "dwpc" => 0.0}, bad_level_count)
merged = bad_levels ++ good_profile
# Good levels alone satisfy the ≥3 threshold, so adding garbage
# should not push the result to nil.
assert SoundingParams.derive(merged)
end
end
# ── sat_vap_pres / mixing_ratio helpers ─────────────────────────
property "sat_vap_pres is positive and monotonically increasing in temperature" do
check all(
t_lo <- float(min: -40.0, max: 30.0),
delta <- float(min: 0.1, max: 20.0)
) do
t_hi = t_lo + delta
e_lo = SoundingParams.sat_vap_pres(t_lo)
e_hi = SoundingParams.sat_vap_pres(t_hi)
assert e_lo > 0.0
assert e_hi > 0.0
assert e_hi > e_lo
end
end
property "mixing_ratio is positive for temperatures well below pressure" do
# The formula hits a pole when saturation vapour pressure approaches
# the total pressure, which only happens at boiling-hot temperatures
# relative to pressure. Realistic weather stays comfortably away.
check all(
t_c <- float(min: -60.0, max: 30.0),
p_mb <- float(min: 300.0, max: 1020.0)
) do
mr = SoundingParams.mixing_ratio(t_c, p_mb)
assert is_number(mr)
assert mr > 0.0
end
end
end

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@ -0,0 +1,141 @@
defmodule MicrowavepropWeb.Plugs.RemoteIpPropertyTest do
@moduledoc """
Property tests for the CIDR-matching logic in
`MicrowavepropWeb.Plugs.RemoteIp`. The `peer_trusted?` helper is
private, so we exercise it via the plug's `init/1` + `call/2`
pipeline: set up a trusted-proxy list, hand the plug a conn whose
`remote_ip` we control, and assert whether the forwarded-IP header
was honoured.
"""
use ExUnit.Case, async: true
use ExUnitProperties
import ExUnit.CaptureLog
alias MicrowavepropWeb.Plugs.RemoteIp
# The X-Forwarded-For value we supply whenever we want to check
# whether the peer was trusted.
@forwarded_ipv4 "198.51.100.7"
@forwarded_tuple {198, 51, 100, 7}
# ── Generators ──────────────────────────────────────────────────
defp ipv4_octet, do: integer(0..255)
defp ipv4_tuple_gen do
gen all(
a <- ipv4_octet(),
b <- ipv4_octet(),
c <- ipv4_octet(),
d <- ipv4_octet()
) do
{a, b, c, d}
end
end
defp ipv4_string(tuple) do
tuple |> Tuple.to_list() |> Enum.join(".")
end
# ── Helpers ─────────────────────────────────────────────────────
defp call_plug(remote_ip, trusted_cidrs) do
opts = RemoteIp.init(trusted_proxies: trusted_cidrs)
conn =
Phoenix.ConnTest.build_conn()
|> Map.put(:remote_ip, remote_ip)
|> Plug.Conn.put_req_header("x-forwarded-for", @forwarded_ipv4)
RemoteIp.call(conn, opts)
end
defp trusted?(remote_ip, cidrs) do
call_plug(remote_ip, cidrs).remote_ip == @forwarded_tuple
end
defp in_cidr?({a, b, c, d}, {{na, nb, nc, nd}, prefix}) do
host = <<a, b, c, d>>
network = <<na, nb, nc, nd>>
<<host_prefix::bitstring-size(prefix), _::bitstring>> = host
<<net_prefix::bitstring-size(prefix), _::bitstring>> = network
host_prefix == net_prefix
end
# ── Properties ──────────────────────────────────────────────────
property "/0 trusts every IPv4 peer" do
check all(peer <- ipv4_tuple_gen()) do
assert trusted?(peer, ["0.0.0.0/0"])
end
end
property "/32 trusts only the exact IP" do
check all(
anchor <- ipv4_tuple_gen(),
other <- ipv4_tuple_gen(),
anchor != other
) do
cidrs = [ipv4_string(anchor) <> "/32"]
assert trusted?(anchor, cidrs)
refute trusted?(other, cidrs)
end
end
property "every X.Y.Z.W in 10.0.0.0/8 is trusted; nothing outside is" do
cidrs = ["10.0.0.0/8"]
check all(ip <- ipv4_tuple_gen()) do
inside = in_cidr?(ip, {{10, 0, 0, 0}, 8})
assert trusted?(ip, cidrs) == inside
end
end
property "arbitrary /prefix CIDRs match iff the peer's high-order prefix bits agree" do
check all(
network <- ipv4_tuple_gen(),
prefix <- integer(1..32),
peer <- ipv4_tuple_gen()
) do
cidr = ipv4_string(network) <> "/" <> Integer.to_string(prefix)
assert trusted?(peer, [cidr]) == in_cidr?(peer, {network, prefix})
end
end
property "union of multiple CIDRs matches the logical OR of each" do
check all(
a <- ipv4_tuple_gen(),
prefix_a <- integer(4..32),
b <- ipv4_tuple_gen(),
prefix_b <- integer(4..32),
peer <- ipv4_tuple_gen()
) do
cidrs = [
ipv4_string(a) <> "/" <> Integer.to_string(prefix_a),
ipv4_string(b) <> "/" <> Integer.to_string(prefix_b)
]
expected = in_cidr?(peer, {a, prefix_a}) or in_cidr?(peer, {b, prefix_b})
assert trusted?(peer, cidrs) == expected
end
end
property "/0 as the only CIDR still trusts everything even with bogus entries mixed in" do
# Invalid CIDR strings are dropped at init time with a warning;
# the surviving /0 should still match every peer.
capture_log(fn ->
check all(peer <- ipv4_tuple_gen()) do
assert trusted?(peer, ["0.0.0.0/0", "not-a-cidr", "999.999.999.999/24", "10.0.0.0/33"])
end
end)
end
property "an empty trusted-proxy list rejects every peer" do
check all(peer <- ipv4_tuple_gen()) do
# No CIDRs → the forwarded header must not flow through.
refute trusted?(peer, [])
end
end
end