defmodule Microwaveprop.Propagation.ScorerTest do use ExUnit.Case, async: true alias Microwaveprop.Propagation.BandConfig alias Microwaveprop.Propagation.Scorer @band_10g BandConfig.get(10_000) @band_24g BandConfig.get(24_000) @band_75g BandConfig.get(75_000) # ── Helper functions ────────────────────────────────────────────── describe "f_to_c/1" do test "converts 32F to 0C" do assert_in_delta Scorer.f_to_c(32), 0.0, 0.01 end test "converts 212F to 100C" do assert_in_delta Scorer.f_to_c(212), 100.0, 0.01 end test "returns nil for nil" do assert Scorer.f_to_c(nil) == nil end end describe "c_to_f/1" do test "converts 0C to 32F" do assert_in_delta Scorer.c_to_f(0), 32.0, 0.01 end test "converts 100C to 212F" do assert_in_delta Scorer.c_to_f(100), 212.0, 0.01 end test "returns nil for nil" do assert Scorer.c_to_f(nil) == nil end end describe "absolute_humidity/2" do test "calculates g/m3 for typical summer conditions" do # ~25C temp, ~20C dewpoint -> ~17 g/m3 ah = Scorer.absolute_humidity(25, 20) assert ah > 15 assert ah < 20 end test "calculates g/m3 for cold dry conditions" do # ~0C temp, ~-5C dewpoint -> ~3 g/m3 ah = Scorer.absolute_humidity(0, -5) assert ah > 2 assert ah < 5 end end describe "wind_speed_kts/2" do test "calculates wind speed from u and v components" do # 3 m/s east + 4 m/s north = 5 m/s = ~9.72 kts kts = Scorer.wind_speed_kts(3.0, 4.0) assert_in_delta kts, 9.72, 0.1 end test "returns nil when either component is nil" do assert Scorer.wind_speed_kts(nil, 4.0) == nil assert Scorer.wind_speed_kts(3.0, nil) == nil assert Scorer.wind_speed_kts(nil, nil) == nil end end describe "precip_to_rate_mmhr/1" do test "passes through positive values" do assert Scorer.precip_to_rate_mmhr(2.5) == 2.5 end test "returns 0.0 for zero" do assert Scorer.precip_to_rate_mmhr(0) == 0.0 end test "returns 0.0 for negative" do assert Scorer.precip_to_rate_mmhr(-1.0) == 0.0 end test "returns 0.0 for nil" do assert Scorer.precip_to_rate_mmhr(nil) == 0.0 end end describe "dbz_to_rain_rate_mmhr/1" do test "returns 0.0 for nil" do assert Scorer.dbz_to_rain_rate_mmhr(nil) == 0.0 end test "returns 0.0 for sub-rain reflectivity (below 5 dBZ)" do # Clear air / ground clutter — not rain. assert Scorer.dbz_to_rain_rate_mmhr(3.0) == 0.0 assert Scorer.dbz_to_rain_rate_mmhr(0.0) == 0.0 end test "20 dBZ is light rain ~0.7 mm/hr (Marshall-Palmer)" do # Z = 10^(dbz/10) = 100; R = (100/200)^(1/1.6) ≈ 0.66 mm/hr rate = Scorer.dbz_to_rain_rate_mmhr(20.0) assert_in_delta rate, 0.66, 0.05 end test "30 dBZ is moderate rain ~2.7 mm/hr" do # Z = 1000; R = (1000/200)^(1/1.6) ≈ 2.7 mm/hr rate = Scorer.dbz_to_rain_rate_mmhr(30.0) assert_in_delta rate, 2.7, 0.2 end test "45 dBZ is heavy rain ~24 mm/hr" do # Z = 31623; R = (31623/200)^(1/1.6) ≈ 23.7 mm/hr rate = Scorer.dbz_to_rain_rate_mmhr(45.0) assert_in_delta rate, 23.7, 1.0 end test "55 dBZ clips to a hail-safe ceiling (≤150 mm/hr)" do # Pure Marshall-Palmer at 55 dBZ returns ~116 mm/hr; at 60 it blows past # 200 which is unrealistic — hail contamination. Clip to the ITU rain-rate # tabulated range. assert Scorer.dbz_to_rain_rate_mmhr(55.0) <= 150.0 assert Scorer.dbz_to_rain_rate_mmhr(65.0) <= 150.0 end end # ── score_humidity/2 ────────────────────────────────────────────── describe "score_humidity/2 beneficial (10 GHz)" do test "low humidity gets first threshold score" do # abs_humidity < 4 -> 55 assert Scorer.score_humidity(3.0, @band_10g) == 55 end test "moderate humidity gets higher score" do # abs_humidity in 7..10 -> 82 assert Scorer.score_humidity(9.0, @band_10g) == 82 end test "high humidity gets peak score" do # abs_humidity in 14..18 -> 95 assert Scorer.score_humidity(16.0, @band_10g) == 95 end test "very high humidity gets decreased score" do # abs_humidity in 18..22 -> 88 assert Scorer.score_humidity(20.0, @band_10g) == 88 end test "extreme humidity gets default" do # abs_humidity > 22 -> 75 (default) assert Scorer.score_humidity(25.0, @band_10g) == 75 end end describe "score_humidity/2 harmful (24 GHz)" do test "very low effective humidity gets 100" do # r = abs_humidity * 1.6 = 2 * 1.6 = 3.2, r<=6 -> 100 assert Scorer.score_humidity(2.0, @band_24g) == 100 end test "moderate effective humidity gets reduced score" do # r = 5 * 1.6 = 8.0, 6 < r <= 9 -> round(95 - (8-6)/3*20) = round(95 - 13.33) = 82 assert Scorer.score_humidity(5.0, @band_24g) == 82 end test "high effective humidity gets low score" do # r = 10 * 1.6 = 16.0, 13 < r <= 18 -> round(45 - (16-13)/5*35) = round(45 - 21) = 24 assert Scorer.score_humidity(10.0, @band_24g) == 24 end test "extreme effective humidity gets near zero" do # r = 20 * 1.6 = 32.0, r > 18 -> max(0, round(10 - (32-18)*2)) = max(0, round(10-28)) = 0 assert Scorer.score_humidity(20.0, @band_24g) == 0 end end # ── score_time_of_day/4 ────────────────────────────────────────── describe "score_time_of_day/4" do # lon -75.0 gives solar offset of -5.0 hours @east_lon -75.0 test "dawn peak in June returns 100" do # June sunrise ~6.25, lon -75 -> offset -5 # local = (11 + 15/60 - 5 + 24) mod 24 = 6.25 # d = 6.25 - 6.25 = 0.0, |d| <= 1.5 -> 100 {score, label} = Scorer.score_time_of_day(11, 15, 6, @east_lon) assert score == 100 assert label =~ "Peak" end test "afternoon in June returns 18" do # local = (22 + 0/60 - 5 + 24) mod 24 = 17.0 # d = 17.0 - 6.25 = 10.75, d > 6 -> 18 {score, _label} = Scorer.score_time_of_day(22, 0, 6, @east_lon) assert score == 18 end test "pre-dawn returns 82" do # June sunrise ~6.25, lon -75 -> offset -5 # local = (9 + 0/60 - 5 + 24) mod 24 = 4.0 # d = 4.0 - 6.25 = -2.25, in (-3.0, -1.5) -> 82 {score, label} = Scorer.score_time_of_day(9, 0, 6, @east_lon) assert score == 82 assert label =~ "Pre-dawn" end test "evening returns 72" do # lon -75 -> offset -5 # local = (1 + 0/60 - 5 + 24) mod 24 = 20.0 # local >= 20 -> 72 {score, label} = Scorer.score_time_of_day(1, 0, 6, @east_lon) assert score == 72 assert label =~ "Evening" end test "western longitude shifts local time earlier" do # lon -90 -> offset -6, January sunrise 7.4 # local = (13 + 24/60 - 6 + 24) mod 24 = 7.4 # d = 7.4 - 7.4 = 0.0 -> 100 {score, _label} = Scorer.score_time_of_day(13, 24, 1, -90.0) assert score == 100 end test "same UTC hour scores differently at different longitudes" do # 18 UTC in June: lon -75 -> local 13.0 (afternoon), lon -120 -> local 10.0 (morning) {east_score, _} = Scorer.score_time_of_day(18, 0, 6, -75.0) {west_score, _} = Scorer.score_time_of_day(18, 0, 6, -120.0) assert west_score > east_score end end # ── score_td_depression/3 ──────────────────────────────────────── describe "score_td_depression/3 beneficial (10 GHz)" do test "very tight depression (saturated air) returns 40" do # dep = 72 - 70 = 2, <3 -> 40 assert Scorer.score_td_depression(72, 70, @band_10g) == 40 end test "moderate depression returns 85" do # dep = 80 - 70 = 10, 8..14 -> 85 assert Scorer.score_td_depression(80, 70, @band_10g) == 85 end test "wide depression returns 55" do # dep = 100 - 50 = 50, >=22 -> 55 assert Scorer.score_td_depression(100, 50, @band_10g) == 55 end end describe "score_td_depression/3 harmful (24 GHz)" do test "very tight depression returns 18 (bad for high freq)" do # dep = 72 - 70 = 2, <=4 -> 18 assert Scorer.score_td_depression(72, 70, @band_24g) == 18 end test "moderate depression returns 60" do # dep = 80 - 70 = 10, 8..14 -> 60 assert Scorer.score_td_depression(80, 70, @band_24g) == 60 end test "wide depression returns 96 (good for high freq)" do # dep = 100 - 50 = 50, >22 -> 96 assert Scorer.score_td_depression(100, 50, @band_24g) == 96 end end # ── score_refractivity/3 ───────────────────────────────────────── describe "score_refractivity/3" do # As of the 2026-04-25 algo revisions the HPBL multiplier and the # native-profile 1.15× duct boost are both retired (`docs/algo-reports/ # 2026-04-25-algo-revisions.md` Recommendations 1 and 2). HPBL had # rho ≤ 0.092 at every band and +0.004 at 10 GHz on n=47,418 — well # below the noise floor. The function arities are kept so callers # continue compiling, but they all collapse onto the gradient-only # base score. @baseline_bl 750 test "strong ducting gradient returns high score for beneficial" do # gradient < -500 -> 98 for beneficial assert Scorer.score_refractivity(-600, @baseline_bl, @band_10g) == 98 end test "strong gradient returns 85 for harmful" do # gradient < -200 -> 85 for harmful (HRRR-calibrated) assert Scorer.score_refractivity(-250, @baseline_bl, @band_24g) == 85 end test "moderate gradient returns appropriate score" do # gradient < -150 but >= -200 -> 92 for beneficial (HRRR-calibrated) assert Scorer.score_refractivity(-160, @baseline_bl, @band_10g) == 92 end test "nil gradient returns 50" do assert Scorer.score_refractivity(nil, @baseline_bl, @band_10g) == 50 end test "nil bl_depth_m matches any other bl_depth_m (HPBL retired)" do assert Scorer.score_refractivity(-160, nil, @band_10g) == Scorer.score_refractivity(-160, @baseline_bl, @band_10g) end test "shallow boundary layer is no longer a boost" do shallow = Scorer.score_refractivity(-100, 150, @band_10g) baseline = Scorer.score_refractivity(-100, @baseline_bl, @band_10g) assert shallow == baseline end test "deep boundary layer is no longer a penalty" do deep = Scorer.score_refractivity(-100, 2200, @band_10g) baseline = Scorer.score_refractivity(-100, @baseline_bl, @band_10g) assert deep == baseline end test "HPBL has no effect on the default-fallback branch either" do shallow_default = Scorer.score_refractivity(-30, 150, @band_10g) baseline_default = Scorer.score_refractivity(-30, @baseline_bl, @band_10g) deep_default = Scorer.score_refractivity(-30, 2200, @band_10g) assert shallow_default == baseline_default assert deep_default == baseline_default end end describe "score_refractivity/4 with native-profile duct support" do # Native-duct 1.15× boost retired — see Recommendation 1 in # `docs/algo-reports/2026-04-25-algo-revisions.md`. At 10 GHz on # n=52,341, contacts where the native duct supports the band ran # *shorter* (198 km) than no-duct contacts (211 km). Arity kept, # behaviour collapses onto the 3-arity gradient-only score. test "native duct supporting the target band no longer boosts" do with_duct = Scorer.score_refractivity(-80, 800, 15.0, @band_10g) plain = Scorer.score_refractivity(-80, 800, nil, @band_10g) assert with_duct == plain end test "native duct below the target band still produces the same plain score" do unchanged = Scorer.score_refractivity(-80, 800, 3.0, @band_10g) plain = Scorer.score_refractivity(-80, 800, nil, @band_10g) assert unchanged == plain end test "nil best_duct_band_ghz is equivalent to the 3-arity form" do assert Scorer.score_refractivity(-100, 600, nil, @band_10g) == Scorer.score_refractivity(-100, 600, @band_10g) end test "nil gradient still returns 50 regardless of duct data" do assert Scorer.score_refractivity(nil, 600, 15.0, @band_10g) == 50 end test "24 GHz is no longer boosted by any native duct band" do weak = Scorer.score_refractivity(-80, 800, 15.0, @band_24g) strong = Scorer.score_refractivity(-80, 800, 30.0, @band_24g) plain = Scorer.score_refractivity(-80, 800, nil, @band_24g) assert weak == plain assert strong == plain end end describe "score_refractivity/5 with bulk-Richardson gating" do # The Richardson gate existed only to suppress the native-duct # boost during mechanically-mixed conditions. Now that the boost # itself is retired, Richardson is irrelevant — every input maps # to the same plain gradient-only score. Arity preserved so prod # call sites in propagation/recalibrator and the Rust comparator # don't need an emergency rewrite. test "stable Richardson + matching duct band ≡ plain" do stable = Scorer.score_refractivity(-80, 800, 15.0, 12.0, @band_10g) plain = Scorer.score_refractivity(-80, 800, nil, nil, @band_10g) assert stable == plain end test "turbulent Richardson + matching duct band ≡ plain" do gated = Scorer.score_refractivity(-80, 800, 15.0, 40.0, @band_10g) plain = Scorer.score_refractivity(-80, 800, nil, nil, @band_10g) assert gated == plain end test "nil Richardson ≡ plain" do with_nil_r = Scorer.score_refractivity(-80, 800, 15.0, nil, @band_10g) four_arity = Scorer.score_refractivity(-80, 800, 15.0, @band_10g) assert with_nil_r == four_arity end test "Richardson at the old 25 boundary ≡ plain" do gated = Scorer.score_refractivity(-80, 800, 15.0, 25.0, @band_10g) plain = Scorer.score_refractivity(-80, 800, nil, nil, @band_10g) assert gated == plain end end describe "commercial_link_boost/2" do # Inverse sensor: when nearby commercial LOS links are fading below baseline, # the *same* multipath that hurts them is the enhanced refractivity that # helps beyond-LOS amateur paths. >8 dB of degradation means multi-Fresnel- # zone disturbance — strong boost. 3-8 dB is a mild boost. <3 dB is noise. test "nil degradation is a no-op" do assert Scorer.commercial_link_boost(75, nil) == 75 end test "<3 dB fade is noise and does not boost" do assert Scorer.commercial_link_boost(75, %{degradation_db: 2.0, n_links: 3}) == 75 end test "5 dB fade applies a mild boost" do boosted = Scorer.commercial_link_boost(75, %{degradation_db: 5.0, n_links: 3}) assert boosted > 75 assert boosted < 90 end test "12 dB fade applies a large boost capped at 100" do boosted = Scorer.commercial_link_boost(75, %{degradation_db: 12.0, n_links: 3}) assert boosted > 85 assert boosted <= 100 end test "single-link result still boosts (n_links >= 1)" do boosted = Scorer.commercial_link_boost(70, %{degradation_db: 6.0, n_links: 1}) assert boosted > 70 end test "empty-links (n_links == 0) is a no-op" do assert Scorer.commercial_link_boost(75, %{degradation_db: 10.0, n_links: 0}) == 75 end end # ── score_sky/1 ────────────────────────────────────────────────── describe "score_sky/1" do test "clear sky returns 100" do assert Scorer.score_sky(5) == 100 end test "few clouds returns 88" do assert Scorer.score_sky(20) == 88 end test "scattered returns 60" do assert Scorer.score_sky(40) == 60 end test "broken returns 25" do assert Scorer.score_sky(75) == 25 end test "overcast returns 5" do assert Scorer.score_sky(95) == 5 end test "nil returns 50" do assert Scorer.score_sky(nil) == 50 end end # ── score_season/4 ─────────────────────────────────────────────── describe "score_season/4" do test "10 GHz summer peak (no region)" do # July base = 95, adj = 0, no region mult -> 95 assert Scorer.score_season(7, nil, nil, @band_10g) == 95 end test "10 GHz winter low" do assert Scorer.score_season(3, nil, nil, @band_10g) == 22 end test "24 GHz winter peak" do assert Scorer.score_season(11, nil, nil, @band_24g) == 96 end test "24 GHz summer with adjustment" do assert Scorer.score_season(7, nil, nil, @band_24g) == 8 end test "clamped to 0-100" do assert Scorer.score_season(1, nil, nil, @band_10g) >= 0 assert Scorer.score_season(1, nil, nil, @band_10g) <= 100 end test "applies regional adjustment for Gulf coast August" do # Gulf coast August mult = 1.15, so score = base * 1.15 gulf_lat = 29.0 gulf_lon = -95.0 no_region = Scorer.score_season(8, nil, nil, @band_10g) gulf_score = Scorer.score_season(8, gulf_lat, gulf_lon, @band_10g) assert gulf_score > no_region end test "applies regional adjustment for Corn Belt August" do # Corn Belt August mult = 0.80, so score = base * 0.80 iowa_lat = 42.0 iowa_lon = -93.0 no_region = Scorer.score_season(8, nil, nil, @band_10g) iowa_score = Scorer.score_season(8, iowa_lat, iowa_lon, @band_10g) assert iowa_score < no_region end end # ── score_wind/1 ───────────────────────────────────────────────── describe "score_wind/1" do test "calm returns 100" do assert Scorer.score_wind(3) == 100 end test "light returns 90" do assert Scorer.score_wind(8) == 90 end test "moderate returns 75" do assert Scorer.score_wind(12) == 75 end test "strong returns 35" do assert Scorer.score_wind(22) == 35 end test "very strong returns 15" do assert Scorer.score_wind(30) == 15 end test "nil returns 50" do assert Scorer.score_wind(nil) == 50 end end # ── score_rain/2 ───────────────────────────────────────────────── describe "score_rain/2" do test "no rain returns 100" do assert Scorer.score_rain(0, @band_24g) == 100 end test "nil rain returns 100" do assert Scorer.score_rain(nil, @band_24g) == 100 end test "light rain with 24 GHz" do # gamma = 0.070 * rate^1.07 # For rate = 2.0: gamma = 0.070 * 2.0^1.07 ≈ 0.147 # 0.1 < gamma <= 0.5 -> 75 assert Scorer.score_rain(2.0, @band_24g) == 75 end test "heavy rain with 10 GHz" do # gamma = 0.010 * rate^1.28 # rate = 5.0: gamma = 0.010 * 5.0^1.28 ≈ 0.076 # gamma < 0.1 -> 95 assert Scorer.score_rain(5.0, @band_10g) == 95 end test "heavy rain with 75 GHz gets very low score" do # gamma = 0.345 * 10^0.84 ≈ 2.39 # 2.0 < gamma <= 5.0 -> 10 assert Scorer.score_rain(10.0, @band_75g) == 10 end end # ── score_pwat/2 ───────────────────────────────────────────────── describe "score_pwat/2 beneficial (10 GHz)" do test "low PWAT returns 55" do assert Scorer.score_pwat(5, @band_10g) == 55 end test "moderate PWAT returns 75" do assert Scorer.score_pwat(15, @band_10g) == 75 end test "optimal PWAT returns 90" do assert Scorer.score_pwat(25, @band_10g) == 90 end test "high PWAT returns 70" do assert Scorer.score_pwat(35, @band_10g) == 70 end test "very high PWAT returns 50" do assert Scorer.score_pwat(45, @band_10g) == 50 end end describe "score_pwat/2 harmful (24 GHz)" do test "low PWAT returns 95" do assert Scorer.score_pwat(5, @band_24g) == 95 end test "moderate PWAT returns 80" do assert Scorer.score_pwat(15, @band_24g) == 80 end test "high PWAT returns 60" do assert Scorer.score_pwat(25, @band_24g) == 60 end test "very high PWAT returns 35" do assert Scorer.score_pwat(35, @band_24g) == 35 end test "extreme PWAT returns 15" do assert Scorer.score_pwat(45, @band_24g) == 15 end end describe "score_pwat/2 nil" do test "nil returns 60" do assert Scorer.score_pwat(nil, @band_10g) == 60 assert Scorer.score_pwat(nil, @band_24g) == 60 end end # ── score_pressure/2 ───────────────────────────────────────────── describe "score_pressure/2" do test "high pressure without previous returns 30" do assert Scorer.score_pressure(1028, nil) == 30 end test "normal pressure without previous returns 45" do # 1015 <= 1020 < 1020 is false, so >= 1020 -> 30 # Actually 1020 is not < 1020, so it falls to true -> 30 assert Scorer.score_pressure(1020, nil) == 30 end test "low pressure without previous returns 55" do # 1000 is in [1000, 1010) -> 55 assert Scorer.score_pressure(1000, nil) == 55 end test "rising pressure returns 80" do # delta = 1020 - 1015 = 5, > 2.5 -> 80 assert Scorer.score_pressure(1020, 1015) == 80 end test "steady pressure returns 70" do # delta = 1016 - 1015 = 1, 0.8 < delta <= 2.5 -> 70 assert Scorer.score_pressure(1016, 1015) == 70 end test "slight fall returns 60" do # delta = 1015 - 1015.3 = -0.3, -0.5 < delta <= 0.8 -> 60 assert Scorer.score_pressure(1015, 1015.3) == 60 end test "moderate fall returns 65" do # delta = 1014 - 1015 = -1.0, -2.0 < delta <= -0.5 -> 65 assert Scorer.score_pressure(1014, 1015) == 65 end test "sharp fall returns 45" do # delta = 1010 - 1015 = -5.0, <= -2.0 -> 45 assert Scorer.score_pressure(1010, 1015) == 45 end end # ── composite_score/2 ──────────────────────────────────────────── describe "composite_score/2" do @conditions %{ abs_humidity: 10.0, temp_f: 80, dewpoint_f: 70, wind_speed_kts: 5, sky_cover_pct: 20, utc_hour: 11, utc_minute: 15, month: 6, longitude: -75.0, pressure_mb: 1020, prev_pressure_mb: 1018, rain_rate_mmhr: 0, min_refractivity_gradient: -350, bl_depth_m: 400, pwat_mm: 25.0 } test "returns score between 0 and 100" do result = Scorer.composite_score(@conditions, @band_10g) assert result.score >= 0 assert result.score <= 100 end test "returns all 10 factor scores" do result = Scorer.composite_score(@conditions, @band_10g) assert Map.has_key?(result.factors, :humidity) assert Map.has_key?(result.factors, :time_of_day) assert Map.has_key?(result.factors, :td_depression) assert Map.has_key?(result.factors, :refractivity) assert Map.has_key?(result.factors, :sky) assert Map.has_key?(result.factors, :season) assert Map.has_key?(result.factors, :wind) assert Map.has_key?(result.factors, :rain) assert Map.has_key?(result.factors, :pwat) assert Map.has_key?(result.factors, :pressure) end test "accepts precomputed band-invariant scores" do # The grid scorer precomputes time_of_day / sky / wind / pressure # once per point (they don't depend on the band) and passes them # into composite_score for every band iteration. composite_score # should use those when present and skip recomputing. precomputed = Scorer.precompute_band_invariants(@conditions) enriched = Map.merge(@conditions, precomputed) fresh = Scorer.composite_score(@conditions, @band_10g) reused = Scorer.composite_score(enriched, @band_10g) assert reused.factors.time_of_day == fresh.factors.time_of_day assert reused.factors.sky == fresh.factors.sky assert reused.factors.wind == fresh.factors.wind assert reused.factors.pressure == fresh.factors.pressure assert reused.score == fresh.score end test "uses weights from BandConfig" do result = Scorer.composite_score(@conditions, @band_10g) weights = BandConfig.weights() # Manually compute expected score expected = result.factors.humidity * weights.humidity + result.factors.time_of_day * weights.time_of_day + result.factors.td_depression * weights.td_depression + result.factors.refractivity * weights.refractivity + result.factors.sky * weights.sky + result.factors.season * weights.season + result.factors.wind * weights.wind + result.factors.rain * weights.rain + result.factors.pwat * weights.pwat + result.factors.pressure * weights.pressure assert_in_delta result.score, round(expected), 1 end test "10 GHz vs 24 GHz give different scores" do result_10g = Scorer.composite_score(@conditions, @band_10g) result_24g = Scorer.composite_score(@conditions, @band_24g) # In humid summer conditions, 10 GHz should score higher assert result_10g.score != result_24g.score end test "each factor score is between 0 and 100" do result = Scorer.composite_score(@conditions, @band_10g) for {_factor, score} <- result.factors do assert score >= 0 and score <= 100 end end end describe "path_integrated_conditions/2" do @contact %{ qso_timestamp: ~U[2026-06-15 18:30:00Z], pos1: %{"lat" => 32.9, "lon" => -97.0} } test "averages surface temp/dew, mins pressure+gradient, and averages HPBL/PWAT" do profiles = [ %{ surface_temp_c: 20.0, surface_dewpoint_c: 10.0, surface_pressure_mb: 1020.0, min_refractivity_gradient: -200.0, hpbl_m: 500.0, pwat_mm: 20.0 }, %{ surface_temp_c: 30.0, surface_dewpoint_c: 20.0, surface_pressure_mb: 1010.0, min_refractivity_gradient: -400.0, hpbl_m: 1500.0, pwat_mm: 30.0 } ] cond_map = Scorer.path_integrated_conditions(profiles, @contact) assert cond_map # Averages carry through to Fahrenheit equivalents. assert_in_delta cond_map.temp_f, 77.0, 0.1 assert_in_delta cond_map.dewpoint_f, 59.0, 0.1 # min() picks the worst pressure and the strongest (most-negative) # refractivity gradient. assert cond_map.pressure_mb == 1010.0 assert cond_map.min_refractivity_gradient == -400.0 # avg() smooths HPBL + PWAT. assert cond_map.bl_depth_m == 1000.0 assert cond_map.pwat_mm == 25.0 # Time/position fields come from the contact. assert cond_map.utc_hour == 18 assert cond_map.utc_minute == 30 assert cond_map.month == 6 assert cond_map.longitude == -97.0 # Fields that the path integration can't infer from HRRR are nil. assert cond_map.wind_speed_kts == nil assert cond_map.sky_cover_pct == nil assert cond_map.prev_pressure_mb == nil assert cond_map.rain_rate_mmhr == 0.0 end test "returns nil when every profile is missing surface temperature" do profiles = [ %{ surface_temp_c: nil, surface_dewpoint_c: 10.0, surface_pressure_mb: 1020.0, min_refractivity_gradient: -200.0, hpbl_m: 500.0, pwat_mm: 20.0 } ] assert Scorer.path_integrated_conditions(profiles, @contact) == nil end test "returns nil when every profile is missing surface dewpoint" do profiles = [ %{ surface_temp_c: 20.0, surface_dewpoint_c: nil, surface_pressure_mb: 1020.0, min_refractivity_gradient: -200.0, hpbl_m: 500.0, pwat_mm: 20.0 } ] assert Scorer.path_integrated_conditions(profiles, @contact) == nil end test "nil profile list yields nil" do assert Scorer.path_integrated_conditions([], @contact) == nil end test "tolerates profiles with missing non-critical scalars (pressure, gradient, HPBL, PWAT)" do # Only temp + dewpoint are required; everything else can be nil # across all profiles and the conditions map still comes back # with nil / avg-over-empty for those fields. profiles = [ %{ surface_temp_c: 22.0, surface_dewpoint_c: 15.0, surface_pressure_mb: nil, min_refractivity_gradient: nil, hpbl_m: nil, pwat_mm: nil } ] cond_map = Scorer.path_integrated_conditions(profiles, @contact) assert cond_map assert cond_map.pressure_mb == nil assert cond_map.min_refractivity_gradient == nil assert cond_map.bl_depth_m == nil assert cond_map.pwat_mm == nil end test "uses -97.0 as longitude when contact.pos1 is missing the lon key" do # Stale contacts written before pos1 was normalised can lack a # lon field. The function falls back to CONUS-centre (-97.0). contact = %{qso_timestamp: ~U[2026-06-15 18:00:00Z], pos1: %{}} profiles = [ %{ surface_temp_c: 20.0, surface_dewpoint_c: 10.0, surface_pressure_mb: 1020.0, min_refractivity_gradient: -200.0, hpbl_m: 500.0, pwat_mm: 20.0 } ] cond_map = Scorer.path_integrated_conditions(profiles, contact) assert cond_map.longitude == -97.0 end end end