defmodule MicrowavepropWeb.PathLive do
@moduledoc "`/path` terrain-profile + propagation analysis for a pair of grids/coords."
use MicrowavepropWeb, :live_view
import MicrowavepropWeb.Components.SkewTChart
alias Microwaveprop.Ionosphere
alias Microwaveprop.Propagation
alias Microwaveprop.Propagation.BandConfig
alias Microwaveprop.Propagation.ProfilesFile
alias Microwaveprop.Propagation.Scorer
alias Microwaveprop.Propagation.SporadicE
alias Microwaveprop.Radio.CallsignClient
alias Microwaveprop.Radio.Maidenhead
alias Microwaveprop.Repo
alias Microwaveprop.Terrain.ElevationClient
alias Microwaveprop.Terrain.TerrainAnalysis
alias Microwaveprop.Weather
alias Microwaveprop.Weather.Station
require Logger
@band_options BandConfig.band_options()
@url_params ~w(source destination band src_height_ft dst_height_ft tx_power_dbm src_gain_dbi dst_gain_dbi)
@defaults %{
"source" => "",
"destination" => "",
"band" => "10000",
"src_height_ft" => "30",
"dst_height_ft" => "30",
"tx_power_dbm" => "20",
"src_gain_dbi" => "30",
"dst_gain_dbi" => "30"
}
@impl true
def mount(_params, _session, socket) do
_ =
if connected?(socket) do
Phoenix.PubSub.subscribe(Microwaveprop.PubSub, "propagation:updated")
end
{:ok,
assign(socket,
page_title: "Path Calculator",
band_options: @band_options,
result: nil,
error: nil,
computing: false,
source: "",
destination: "",
band: "10000",
src_height_ft: "30",
dst_height_ft: "30",
tx_power_dbm: "20",
src_gain_dbi: "30",
dst_gain_dbi: "30",
source_is_gps: false
)}
end
@impl true
def handle_params(params, _uri, socket) do
p = Map.merge(@defaults, Map.take(params, @url_params))
is_gps = p["source"] == "gps"
socket =
assign(socket,
source: if(is_gps, do: socket.assigns.source, else: p["source"]),
destination: p["destination"],
band: p["band"],
src_height_ft: p["src_height_ft"],
dst_height_ft: p["dst_height_ft"],
tx_power_dbm: p["tx_power_dbm"],
src_gain_dbi: p["src_gain_dbi"],
dst_gain_dbi: p["dst_gain_dbi"],
source_is_gps: is_gps
)
# If source=gps and we already have coords from a previous fix, just recalculate.
# Only request GPS from the device on the initial page load (no coords yet).
if p["source"] == "gps" and connected?(socket) do
if socket.assigns.source != "" and socket.assigns.source != nil do
auto_calculate(socket, Map.put(p, "source", socket.assigns.source))
else
{:noreply, push_event(socket, "request_gps", %{})}
end
else
auto_calculate(socket, p)
end
end
defp auto_calculate(socket, p) do
if p["source"] != "" and p["source"] != "gps" and p["destination"] != "" and
not socket.assigns.computing and is_nil(socket.assigns.result) do
src_ht = parse_float(p["src_height_ft"], 30.0)
dst_ht = parse_float(p["dst_height_ft"], 30.0)
tx_dbm = parse_float(p["tx_power_dbm"], 20.0)
station_params = %{
src_height_ft: src_ht,
dst_height_ft: dst_ht,
src_height_m: src_ht * 0.3048,
dst_height_m: dst_ht * 0.3048,
tx_power_dbm: tx_dbm,
tx_power_mw: :math.pow(10, tx_dbm / 10),
src_gain_dbi: parse_float(p["src_gain_dbi"], 30.0),
dst_gain_dbi: parse_float(p["dst_gain_dbi"], 30.0)
}
send(self(), {:compute_path, p["source"], p["destination"], String.to_integer(p["band"]), station_params})
{:noreply, assign(socket, computing: true)}
else
{:noreply, socket}
end
end
@impl true
def handle_event("update_form", params, socket) do
{:noreply,
assign(socket,
source: params["source"] || "",
destination: params["destination"] || "",
band: params["band"] || "10000",
src_height_ft: params["src_height_ft"] || "30",
dst_height_ft: params["dst_height_ft"] || "30",
tx_power_dbm: params["tx_power_dbm"] || "20",
src_gain_dbi: params["src_gain_dbi"] || "30",
dst_gain_dbi: params["dst_gain_dbi"] || "30"
)}
end
def handle_event("calculate", params, socket) do
src_height_ft = parse_float(params["src_height_ft"], 30.0)
dst_height_ft = parse_float(params["dst_height_ft"], 30.0)
tx_power_dbm = parse_float(params["tx_power_dbm"], 20.0)
tx_power_mw = :math.pow(10, tx_power_dbm / 10)
station_params = %{
src_height_ft: src_height_ft,
dst_height_ft: dst_height_ft,
src_height_m: src_height_ft * 0.3048,
dst_height_m: dst_height_ft * 0.3048,
tx_power_dbm: tx_power_dbm,
tx_power_mw: tx_power_mw,
src_gain_dbi: parse_float(params["src_gain_dbi"], 30.0),
dst_gain_dbi: parse_float(params["dst_gain_dbi"], 30.0)
}
socket =
assign(socket,
source: params["source"],
destination: params["destination"],
band: params["band"],
src_height_ft: params["src_height_ft"],
dst_height_ft: params["dst_height_ft"],
tx_power_dbm: params["tx_power_dbm"],
src_gain_dbi: params["src_gain_dbi"],
dst_gain_dbi: params["dst_gain_dbi"],
error: nil,
computing: true,
result: nil
)
send(
self(),
{:compute_path, params["source"], params["destination"], String.to_integer(params["band"]), station_params}
)
url_params =
params
|> Map.take(@url_params)
|> then(fn p -> if socket.assigns.source_is_gps, do: Map.put(p, "source", "gps"), else: p end)
|> Enum.reject(fn {_k, v} -> v == "" end)
|> Map.new()
{:noreply, push_patch(socket, to: ~p"/path?#{url_params}", replace: true)}
end
# Hover on a forecast-chart dot — fetch and push back the per-factor
# breakdown for that hour at the path's midpoint, mirroring the
# weighted-criteria panel the main /map popup builds when the user
# clicks a grid cell. Cached client-side so the server only does the
# ProfilesFile read once per hour per session.
def handle_event("path_forecast_detail", %{"iso" => iso}, socket) do
with %{result: %{band_mhz: band_mhz, source: src, destination: dst, band_config: band_config}} <-
socket.assigns,
{:ok, valid_time, _} <- DateTime.from_iso8601(iso) do
midlat = (src.lat + dst.lat) / 2
midlon = (src.lon + dst.lon) / 2
payload =
case Propagation.point_detail(band_mhz, midlat, midlon, valid_time) do
%{score: score, factors: factors} when factors != %{} ->
%{
iso: iso,
score: score,
factors: factors,
band_label: band_config.label,
humidity_effect: humidity_effect_string(band_config)
}
_ ->
%{iso: iso, unavailable: true}
end
{:noreply, push_event(socket, "path_forecast_detail", payload)}
else
_ -> {:noreply, socket}
end
end
def handle_event("gps_location", %{"lat" => lat, "lon" => lon}, socket) do
coords = "#{Float.round(lat / 1, 6)},#{Float.round(lon / 1, 6)}"
# Show coords in the input but keep source=gps in the URL
socket = assign(socket, source: coords, source_is_gps: true, result: nil)
url_params =
%{
"source" => "gps",
"destination" => socket.assigns.destination,
"band" => socket.assigns.band,
"src_height_ft" => socket.assigns.src_height_ft,
"dst_height_ft" => socket.assigns.dst_height_ft,
"tx_power_dbm" => socket.assigns.tx_power_dbm,
"src_gain_dbi" => socket.assigns.src_gain_dbi,
"dst_gain_dbi" => socket.assigns.dst_gain_dbi
}
|> Enum.reject(fn {_k, v} -> v == "" end)
|> Map.new()
{:noreply, push_patch(socket, to: ~p"/path?#{url_params}", replace: true)}
end
@impl true
def handle_info({:compute_path, source, dest, band_mhz, station_params}, socket) do
case compute_path(source, dest, band_mhz, station_params) do
{:ok, result} ->
{:noreply, assign(socket, result: result, computing: false)}
{:error, reason} ->
{:noreply, assign(socket, error: reason, computing: false)}
end
end
def handle_info({:propagation_updated, _valid_times}, socket) do
case socket.assigns.result do
%{band_mhz: band_mhz, source: src, destination: dst} = result ->
midlat = (src.lat + dst.lat) / 2
midlon = (src.lon + dst.lon) / 2
forecast = Propagation.point_forecast(band_mhz, midlat, midlon)
{:noreply, assign(socket, result: %{result | forecast: forecast})}
_ ->
{:noreply, socket}
end
end
defp compute_path(source, dest, band_mhz, station_params) do
with {:ok, src} <- resolve_location(source),
{:ok, dst} <- resolve_location(dest) do
band_config = BandConfig.get(band_mhz) || BandConfig.get(10_000)
freq_ghz = band_mhz / 1000
dist_km = haversine_km(src.lat, src.lon, dst.lat, dst.lon)
bearing = bearing_deg(src.lat, src.lon, dst.lat, dst.lon)
# Terrain profile with antenna heights
terrain_result =
case ElevationClient.fetch_elevation_profile(src.lat, src.lon, dst.lat, dst.lon, 64, download: true) do
{:ok, profile} ->
analysis =
TerrainAnalysis.analyse(profile, dist_km, freq_ghz,
ant_ht_a: station_params.src_height_m,
ant_ht_b: station_params.dst_height_m
)
%{profile: profile, analysis: analysis}
{:error, _} ->
nil
end
# HRRR profiles along path — 9 evenly-spaced samples so mid-path
# ducts that endpoint-only queries miss show up in the duct count.
# Source preference: the on-disk grid profile store (full-CONUS
# coverage from the hourly chain) is checked first; the per-QSO
# `hrrr_profiles` DB table is only the fallback for points the
# current chain hasn't published yet.
now = DateTime.utc_now()
midlat = (src.lat + dst.lat) / 2
midlon = (src.lon + dst.lon) / 2
profile_valid_time = latest_profile_valid_time(now)
# Load the full profile grid ONCE (single NFS read + gunzip + decode)
# instead of letting 9 async_stream workers each re-decode the same
# ~30 MB file. Each per-point lookup becomes a Map.get.
profile_grid = profile_grid_for(profile_valid_time)
sample_points = path_sample_points(src, dst, 9)
# Fast path: in-memory Map.get against the single decoded grid.
# Only points that miss the grid (e.g. just-rolled-over chain) take
# the slow DB-fallback path concurrently below.
{grid_hits, misses} = partition_grid_hits(sample_points, profile_grid, profile_valid_time)
fallback_hits =
misses
|> Enum.reverse()
|> Task.async_stream(&fallback_hrrr_point(&1, now), max_concurrency: 4, timeout: 5_000, on_timeout: :kill_task)
|> Enum.zip(Enum.reverse(misses))
|> Enum.flat_map(fn
{{:ok, nil}, _} ->
[]
{{:ok, point}, _} ->
[point]
{{:exit, reason}, {label, lat, lon}} ->
Logger.error(
"PathLive HRRR fallback lookup failed: label=#{inspect(label)} lat=#{lat} lon=#{lon} reason=#{inspect(reason)}"
)
[]
end)
hrrr_points = Enum.reverse(grid_hits, fallback_hits)
hrrr_profiles = Enum.map(hrrr_points, & &1.profile)
# Independent duct signal: the nearest RAOB within 300 km / ±3 h of
# the midpoint. HRRR pressure levels systematically under-read thin
# surface ducts that sounding data resolves.
sounding = build_sounding_readout(midlat, midlon, now)
# Native-resolution HRRR duct band + Bulk Richardson near the
# midpoint. Resolves thin trapping layers HRRR's 13 pressure levels
# miss; feeds the 1.15× boost in Scorer.score_refractivity, gated on
# Richardson so turbulent duct readings don't inflate the score.
native_duct =
case Weather.nearest_native_duct_info(midlat, midlon, now) do
{:ok, info} -> info
{:error, _} -> %{best_duct_band_ghz: nil, bulk_richardson: nil}
end
# Build conditions and score
{conditions, scoring} =
build_scoring(hrrr_profiles, src, dst, now, band_config, native_duct)
# Loss and power budgets
loss_budget = compute_loss_budget(dist_km, freq_ghz, band_config, terrain_result, conditions)
power_budget = compute_power_budget(station_params, loss_budget)
# 18-hour forecast from propagation grid (midpoint of path)
forecast = Propagation.point_forecast(band_mhz, midlat, midlon)
# Ionosphere readout at the midpoint (sporadic-E potential).
# Only relevant for VHF where Es propagation is physically possible.
ionosphere = build_ionosphere_readout(band_mhz, midlat, midlon, dist_km)
{:ok,
%{
source: src,
destination: dst,
station_params: station_params,
band_config: band_config,
band_mhz: band_mhz,
freq_ghz: freq_ghz,
dist_km: dist_km,
bearing: bearing,
terrain: terrain_result,
conditions: conditions,
scoring: scoring,
loss_budget: loss_budget,
power_budget: power_budget,
forecast: forecast,
hrrr_count: length(hrrr_profiles),
hrrr_points: hrrr_points,
ionosphere: ionosphere,
sounding: sounding
}}
end
end
# Returns nil when there's no usable readout, or a map describing the
# nearest ionosonde's current foEs + the computed Es score for
# (band, distance). Only VHF bands get the readout.
defp build_ionosphere_readout(band_mhz, midlat, midlon, dist_km) when band_mhz in [50, 144, 222, 432] do
case Ionosphere.nearest_foes(midlat, midlon) do
{:ok, obs} ->
es_score = SporadicE.es_score(obs.fo_es_mhz, band_mhz, dist_km)
muf = SporadicE.single_hop_muf(obs.fo_es_mhz, dist_km)
%{
station_code: obs.station_code,
valid_time: obs.valid_time,
fo_es_mhz: obs.fo_es_mhz,
fo_f2_mhz: obs.fo_f2_mhz,
mufd_mhz: obs.mufd_mhz,
es_score: es_score,
es_muf_mhz: muf,
es_in_range?: dist_km >= 500 and dist_km <= 2500
}
{:error, _reason} ->
nil
end
end
defp build_ionosphere_readout(_band_mhz, _lat, _lon, _dist), do: nil
defp resolve_location(input) do
input = String.trim(input)
cond do
input == "" ->
{:error, "Location is required"}
coordinate_pair?(input) ->
[lat_s, lon_s] = String.split(input, ",", parts: 2)
{lat, _} = Float.parse(String.trim(lat_s))
{lon, _} = Float.parse(String.trim(lon_s))
{:ok, %{lat: lat, lon: lon, label: "#{Float.round(lat, 3)}, #{Float.round(lon, 3)}", type: :coordinates}}
maidenhead?(input) ->
case Maidenhead.to_latlon(input) do
{:ok, {lat, lon}} -> {:ok, %{lat: lat, lon: lon, label: String.upcase(input), type: :grid}}
:error -> {:error, "Invalid grid square: #{input}"}
end
true ->
case CallsignClient.locate(input) do
{:ok, info} ->
{:ok,
%{lat: info.lat, lon: info.lon, label: String.upcase(info.callsign), grid: info.gridsquare, type: :callsign}}
{:error, reason} ->
{:error, "Could not find #{input}: #{reason}"}
end
end
end
defp coordinate_pair?(input) do
case String.split(input, ",", parts: 2) do
[a, b] ->
match?({_, _}, Float.parse(String.trim(a))) and match?({_, _}, Float.parse(String.trim(b)))
_ ->
false
end
end
defp maidenhead?(input) do
String.length(input) >= 4 and String.length(input) <= 10 and
Regex.match?(~r/^[A-Ra-r]{2}[0-9]{2}/i, input)
end
defp humidity_effect_string(%{humidity_effect: :beneficial}), do: "beneficial"
defp humidity_effect_string(%{humidity_effect: :harmful}), do: "harmful"
defp humidity_effect_string(_), do: "neutral"
# The grid is the single decoded output of ProfilesFile.read/1 — keys are
# `{snapped_lat, snapped_lon}` tuples produced by ProfilesFile.snap/2.
# We mirror the same snapping locally instead of round-tripping through
# ProfilesFile.read_point/3 (which would re-fetch the cached grid).
defp profile_grid_for(nil), do: nil
defp profile_grid_for(valid_time) do
case ProfilesFile.read(valid_time) do
{:ok, grid} -> grid
_ -> nil
end
end
defp lookup_profile_grid(grid, lat, lon) do
{snapped_lat, snapped_lon} = ProfilesFile.snap(lat, lon)
Map.get(grid, {snapped_lat, snapped_lon})
end
defp partition_grid_hits(sample_points, profile_grid, profile_valid_time) do
Enum.reduce(sample_points, {[], []}, fn pt, acc ->
classify_grid_hit(pt, profile_grid, profile_valid_time, acc)
end)
end
defp classify_grid_hit(pt, nil, _vt, {hits, mss}), do: {hits, [pt | mss]}
defp classify_grid_hit({label, lat, lon} = pt, grid, vt, {hits, mss}) do
case lookup_profile_grid(grid, lat, lon) do
nil -> {hits, [pt | mss]}
cell -> {[%{label: label, profile: profile_from_cell(cell, lat, lon, vt)} | hits], mss}
end
end
defp fallback_hrrr_point({label, lat, lon}, now) do
case Weather.find_nearest_hrrr(lat, lon, now) do
nil -> nil
profile -> %{label: label, profile: profile}
end
end
# The most recent on-disk profile file at or before `now`. Falls back
# to the earliest available file if everything cached is in the future
# (cold-start state during a missed chain). Returns `nil` when the
# store is empty — caller then drops to the DB-table fallback.
defp latest_profile_valid_time(now) do
case ProfilesFile.list_valid_times() do
[] -> nil
times -> pick_latest_at_or_before(times, now)
end
end
defp pick_latest_at_or_before(times, now) do
case Enum.filter(times, fn t -> DateTime.compare(t, now) != :gt end) do
[] -> List.first(times)
past -> Enum.max(past, DateTime)
end
end
# ProfilesFile cells are already flat HrrrProfile-shaped maps — the
# `:profile` key holds the vertical pressure-level list, NOT a wrapper
# around the surface fields. Stamp `lat`/`lon` (from the sample point,
# since cells don't carry their own coordinates — they're the map key)
# and `valid_time` so downstream template + scoring code is shape-agnostic.
defp profile_from_cell(cell, lat, lon, valid_time) do
cell
|> Map.put_new(:lat, lat)
|> Map.put_new(:lon, lon)
|> Map.put_new(:valid_time, valid_time)
end
# Linear interpolation along the great-circle-approximate path. Good
# enough at the path-calculator's typical range (<2000 km); for longer
# paths the path deviates from a rhumb line but we're picking
# HRRR grid cells, not doing precise bearing.
defp path_sample_points(src, dst, count) when count >= 2 do
Enum.map(1..count, fn i ->
t = (i - 1) / (count - 1)
lat = src.lat + (dst.lat - src.lat) * t
lon = src.lon + (dst.lon - src.lon) * t
label =
cond do
i == 1 -> "Source"
i == count -> "Destination"
i * 2 == count + 1 -> "Midpoint"
true -> "#{round(t * 100)}%"
end
{label, lat, lon}
end)
end
defp build_sounding_readout(midlat, midlon, now) do
case Weather.nearest_sounding_to(midlat, midlon, now) do
{:ok, sounding} ->
station = if Ecto.assoc_loaded?(sounding.station), do: sounding.station
station = station || Repo.get(Station, sounding.station_id)
distance_km =
if station, do: haversine_km(midlat, midlon, station.lat, station.lon)
%{
station_code: station && station.station_code,
station_name: station && station.name,
observed_at: sounding.observed_at,
ducting_detected: sounding.ducting_detected,
min_refractivity_gradient: sounding.min_refractivity_gradient,
boundary_layer_depth_m: sounding.boundary_layer_depth_m,
precipitable_water_mm: sounding.precipitable_water_mm,
distance_km: distance_km
}
{:error, :not_found} ->
nil
end
end
defp build_scoring([], _src, _dst, _now, _band_config, _native_duct), do: {nil, nil}
defp build_scoring(profiles, src, dst, now, band_config, native_duct) do
temps = profiles |> Enum.map(& &1.surface_temp_c) |> Enum.reject(&is_nil/1)
dewpoints = profiles |> Enum.map(& &1.surface_dewpoint_c) |> Enum.reject(&is_nil/1)
if temps == [] or dewpoints == [] do
{nil, nil}
else
avg_temp_c = Enum.sum(temps) / length(temps)
avg_dewpoint_c = Enum.sum(dewpoints) / length(dewpoints)
pressures = profiles |> Enum.map(& &1.surface_pressure_mb) |> Enum.reject(&is_nil/1)
gradients = profiles |> Enum.map(& &1.min_refractivity_gradient) |> Enum.reject(&is_nil/1)
bl_depths = profiles |> Enum.map(& &1.hpbl_m) |> Enum.reject(&is_nil/1)
pwats = profiles |> Enum.map(& &1.pwat_mm) |> Enum.reject(&is_nil/1)
conditions = %{
abs_humidity: Scorer.absolute_humidity(avg_temp_c, avg_dewpoint_c),
temp_f: Scorer.c_to_f(avg_temp_c),
dewpoint_f: Scorer.c_to_f(avg_dewpoint_c),
temp_c: avg_temp_c,
dewpoint_c: avg_dewpoint_c,
wind_speed_kts: nil,
sky_cover_pct: nil,
utc_hour: now.hour,
utc_minute: now.minute,
month: now.month,
latitude: (src.lat + dst.lat) / 2,
longitude: src.lon,
pressure_mb: if(pressures != [], do: Enum.min(pressures)),
prev_pressure_mb: nil,
rain_rate_mmhr: 0.0,
min_refractivity_gradient: if(gradients != [], do: Enum.min(gradients)),
bl_depth_m: if(bl_depths != [], do: Enum.sum(bl_depths) / length(bl_depths)),
pwat_mm: if(pwats != [], do: Enum.sum(pwats) / length(pwats)),
best_duct_band_ghz: native_duct[:best_duct_band_ghz],
bulk_richardson: native_duct[:bulk_richardson]
}
scoring = Scorer.composite_score(conditions, band_config)
{conditions, scoring}
end
end
defp compute_loss_budget(dist_km, freq_ghz, band_config, terrain_result, conditions) do
freq_mhz = freq_ghz * 1000
fspl = 20 * :math.log10(max(dist_km, 0.001)) + 20 * :math.log10(freq_mhz) + 32.44
o2_loss = band_config.o2_db_km * dist_km
h2o_coeff = band_config.h2o_coeff
abs_humidity =
if conditions do
conditions.abs_humidity
else
7.5
end
h2o_loss = h2o_coeff * abs_humidity * dist_km
rain_loss =
if conditions && conditions.rain_rate_mmhr > 0 do
gamma = band_config.rain_k * :math.pow(conditions.rain_rate_mmhr, band_config.rain_alpha)
gamma * dist_km
else
0.0
end
diffraction_loss =
if terrain_result do
# TerrainAnalysis.deygout_diffraction returns integer 0 for clear
# paths; coerce to float so Float.round/2 below is happy.
terrain_result.analysis.diffraction_db * 1.0
else
0.0
end
total = fspl + o2_loss + h2o_loss + rain_loss + diffraction_loss
%{
fspl: Float.round(fspl, 1),
o2: Float.round(o2_loss, 2),
h2o: Float.round(h2o_loss, 2),
rain: Float.round(rain_loss, 2),
diffraction: Float.round(diffraction_loss, 1),
total: Float.round(total, 1)
}
end
defp compute_power_budget(station_params, loss_budget) do
tx_power_dbm = station_params.tx_power_dbm
eirp_dbm = tx_power_dbm + station_params.src_gain_dbi
rx_power_dbm = eirp_dbm - loss_budget.total + station_params.dst_gain_dbi
# Typical receiver sensitivities by mode (dBm)
# CW ~-140, SSB ~-130, FM ~-120
rx_sensitivity_cw = -140.0
rx_sensitivity_ssb = -130.0
margin_cw = rx_power_dbm - rx_sensitivity_cw
margin_ssb = rx_power_dbm - rx_sensitivity_ssb
%{
tx_power_dbm: Float.round(tx_power_dbm, 1),
eirp_dbm: Float.round(eirp_dbm, 1),
rx_power_dbm: Float.round(rx_power_dbm, 1),
margin_cw: Float.round(margin_cw, 1),
margin_ssb: Float.round(margin_ssb, 1)
}
end
defp parse_float(nil, default), do: default
defp parse_float("", default), do: default
defp parse_float(str, default) do
case Float.parse(str) do
{val, _} -> val
:error -> default
end
end
defdelegate haversine_km(lat1, lon1, lat2, lon2), to: Microwaveprop.Geo
defdelegate bearing_deg(lat1, lon1, lat2, lon2), to: Microwaveprop.Geo
# ── Score tier helpers ──
defp tier_label(score) when score >= 80, do: "EXCELLENT"
defp tier_label(score) when score >= 65, do: "GOOD"
defp tier_label(score) when score >= 50, do: "MARGINAL"
defp tier_label(score) when score >= 33, do: "POOR"
defp tier_label(_), do: "NEGLIGIBLE"
defp tier_color(score) when score >= 80, do: "#059669"
defp tier_color(score) when score >= 65, do: "#0d9488"
defp tier_color(score) when score >= 50, do: "#ca8a04"
defp tier_color(score) when score >= 33, do: "#ea580c"
defp tier_color(_), do: "#dc2626"
defp terrain_verdict_class("CLEAR"), do: "badge badge-success"
defp terrain_verdict_class("FRESNEL_MINOR"), do: "badge badge-warning"
defp terrain_verdict_class("FRESNEL_PARTIAL"), do: "badge badge-warning"
defp terrain_verdict_class("BLOCKED"), do: "badge badge-error"
defp terrain_verdict_class(_), do: "badge"
defp format_number(n) when is_float(n), do: :erlang.float_to_binary(n, decimals: 1)
defp format_number(n), do: to_string(n)
defp format_km_mi(km), do: Microwaveprop.Format.distance_km(km)
defp format_utc_hour(%DateTime{} = dt), do: Calendar.strftime(dt, "%H:%M")
defp format_utc_hour(_), do: "?"
defp format_mw(mw) when mw >= 1000, do: "#{format_number(mw / 1000)} W"
defp format_mw(mw) when mw >= 1, do: "#{format_number(mw)} mW"
defp format_mw(mw), do: "#{format_number(mw * 1000)} uW"
# ── Render ──
@impl true
def render(assigns) do
~H"""
| Point | Lat, Lon | Temp | Dewpt | Press | HPBL | PWAT | Ns | dN/dh |
|---|---|---|---|---|---|---|---|---|
| {pt.label} | {format_number(pt.profile.lat)}, {format_number(pt.profile.lon)} | {format_number(pt.profile.surface_temp_c)}°C | {format_number(pt.profile.surface_dewpoint_c)}°C | {format_number(pt.profile.surface_pressure_mb)} mb | {format_number(pt.profile.hpbl_m)} m | {format_number(pt.profile.pwat_mm)} mm | {format_number(pt.profile.surface_refractivity)} | {format_number(pt.profile.min_refractivity_gradient)} |