added vegetation

api/app/core/fresnel.py

@@ -11,7 +11,12 @@ EARTH_RADIUS_M = 6_371_000.0
 
 @dataclass(frozen=True)
 class LosSample:
+    lat: float
+    lon: float
     distance_m: float
+    surface_m: float
+    path_height_m: float
+    obstacle_height_m: float
     clearance_m: float
     fresnel_radius_m: float
     required_clearance_m: float
@@ -25,6 +30,7 @@ class LosResult:
     first_fresnel_clearance_pct: float
     worst_sample: LosSample | None
     obstructions: list[LosSample]
+    samples: list[LosSample]
 
 
 def wavelength(freq_hz: float) -> float:
@@ -66,14 +72,19 @@ def los_analysis(
     tx_elevation = profile.samples[0].ground_m + tx_height_agl
     rx_elevation = profile.samples[-1].ground_m + rx_height_agl
     obstructions: list[LosSample] = []
+    samples: list[LosSample] = []
     worst_sample: LosSample | None = None
     min_ratio = float("inf")
     geometric_los = True
 
-    for sample in profile.samples[1:-1]:
+    for sample in profile.samples:
         d1 = sample.distance_m
         d2 = total_distance - d1
-        path_height = tx_elevation + (rx_elevation - tx_elevation) * (d1 / total_distance)
+        path_height = (
+            tx_elevation
+            if total_distance == 0
+            else tx_elevation + (rx_elevation - tx_elevation) * (d1 / total_distance)
+        )
         obstacle_height = sample.surface_m + earth_bulge(d1, d2, k)
         clearance_m = path_height - obstacle_height
         f1 = fresnel_radius(lmbda, d1, d2)
@@ -82,12 +93,20 @@ def los_analysis(
         obstruction_type = sample.dominant_obstruction
 
         los_sample = LosSample(
+            lat=sample.lat,
+            lon=sample.lon,
             distance_m=d1,
+            surface_m=sample.surface_m,
+            path_height_m=path_height,
+            obstacle_height_m=obstacle_height,
             clearance_m=clearance_m,
             fresnel_radius_m=f1,
             required_clearance_m=required,
             obstruction_type=obstruction_type,
         )
+        samples.append(los_sample)
+        if d1 == 0 or d1 == total_distance:
+            continue
         if worst_sample is None or clearance_m - required < (
             worst_sample.clearance_m - worst_sample.required_clearance_m
         ):
@@ -104,4 +123,5 @@ def los_analysis(
         first_fresnel_clearance_pct=100.0 if min_ratio == float("inf") else min_ratio,
         worst_sample=worst_sample,
         obstructions=obstructions,
+        samples=samples,
     )