86 lines
3.1 KiB
Python
86 lines
3.1 KiB
Python
import math
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from dataclasses import dataclass
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from itertools import groupby, pairwise
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from flight_map.curves import Cubic, interpolate
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from flight_map.geo import Projection
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from flight_map.storage import Observation
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from flight_map.terrain import Elevation
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@dataclass
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class Track:
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observations: list[Observation]
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curves: list[Cubic]
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average_height: float | None
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start: float
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end: float
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def split_tracks(observations: list[Observation], max_gap: float) -> list[list[Observation]]:
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if not math.isfinite(max_gap) or max_gap <= 0:
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raise ValueError("Maximum track gap must be positive.")
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result = []
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for _, aircraft in groupby(
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sorted(observations, key=lambda o: (o.icao24, o.timestamp)), key=lambda o: o.icao24
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):
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current: list[Observation] = []
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for item in aircraft:
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if item.on_ground:
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if len(current) >= 2:
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result.append(current)
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current = []
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continue
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if current and (
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item.timestamp - current[-1].timestamp > max_gap
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or item.timestamp <= current[-1].timestamp
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or item.callsign != current[-1].callsign
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):
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if len(current) >= 2:
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result.append(current)
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current = []
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current.append(item)
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if len(current) >= 2:
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result.append(current)
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return result
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def make_tracks(
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observations: list[Observation],
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projection: Projection,
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elevation: Elevation,
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ground: float | None,
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max_gap: float,
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) -> list[Track]:
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result = []
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for items in split_tracks(observations, max_gap):
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points = [projection.point(o.longitude, o.latitude) for o in items]
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curves = interpolate(points)
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if all(curve.start == curve.end for curve in curves):
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continue
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total_time = 0.0
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altitude_integral = 0.0
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missing_height = ground is None
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start, end = math.inf, -math.inf
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for index, (first, last) in enumerate(pairwise(items)):
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duration = last.timestamp - first.timestamp
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h0, h1 = elevation.aircraft_altitude(first), elevation.aircraft_altitude(last)
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for f0, f1 in curves[index].inside_intervals(projection.rectangle.bounds):
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inside_duration = duration * (f1 - f0)
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total_time += inside_duration
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start = min(start, first.timestamp + f0 * duration)
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end = max(end, first.timestamp + f1 * duration)
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if h0 is None or h1 is None:
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missing_height = True
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else:
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entry = h0 + (h1 - h0) * f0
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exit_height = h0 + (h1 - h0) * f1
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altitude_integral += (entry + exit_height) / 2 * inside_duration
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if total_time == 0:
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continue
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average = None
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if not missing_height and ground is not None:
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average = altitude_integral / total_time - ground
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result.append(Track(items, curves, average, start, end))
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return sorted(result, key=lambda track: (track.start, track.observations[0].icao24))
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