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119 lines
4.3 KiB
Python
119 lines
4.3 KiB
Python
"""Runway information and selection."""
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from __future__ import annotations
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import logging
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from dataclasses import dataclass
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from typing import Iterator, Optional
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from dcs.terrain.terrain import Airport
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from game.weather import Conditions
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from .airfields import AIRFIELD_DATA
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from .radios import RadioFrequency
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from .tacan import TacanChannel
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@dataclass(frozen=True)
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class RunwayData:
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airfield_name: str
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runway_heading: int
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runway_name: str
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atc: Optional[RadioFrequency] = None
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tacan: Optional[TacanChannel] = None
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tacan_callsign: Optional[str] = None
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ils: Optional[RadioFrequency] = None
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icls: Optional[int] = None
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@classmethod
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def for_airfield(cls, airport: Airport, runway_heading: int,
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runway_name: str) -> RunwayData:
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"""Creates RunwayData for the given runway of an airfield.
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Args:
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airport: The airfield the runway belongs to.
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runway_heading: Heading of the runway.
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runway_name: Identifier of the runway to use. e.g. "03" or "20L".
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"""
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atc: Optional[RadioFrequency] = None
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tacan: Optional[TacanChannel] = None
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tacan_callsign: Optional[str] = None
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ils: Optional[RadioFrequency] = None
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try:
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airfield = AIRFIELD_DATA[airport.name]
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if airfield.atc is not None:
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atc = airfield.atc.uhf
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else:
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atc = None
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tacan = airfield.tacan
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tacan_callsign = airfield.tacan_callsign
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ils = airfield.ils_freq(runway_name)
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except KeyError:
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logging.warning(f"No airfield data for {airport.name}")
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return cls(
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airfield_name=airport.name,
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runway_heading=runway_heading,
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runway_name=runway_name,
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atc=atc,
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tacan=tacan,
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tacan_callsign=tacan_callsign,
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ils=ils
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)
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@classmethod
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def for_pydcs_airport(cls, airport: Airport) -> Iterator[RunwayData]:
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for runway in airport.runways:
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runway_number = runway.heading // 10
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runway_side = ["", "L", "R"][runway.leftright]
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runway_name = f"{runway_number:02}{runway_side}"
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yield cls.for_airfield(airport, runway.heading, runway_name)
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# pydcs only exposes one runway per physical runway, so to expose
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# both sides of the runway we need to generate the other.
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heading = (runway.heading + 180) % 360
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runway_number = heading // 10
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runway_side = ["", "R", "L"][runway.leftright]
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runway_name = f"{runway_number:02}{runway_side}"
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yield cls.for_airfield(airport, heading, runway_name)
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class RunwayAssigner:
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def __init__(self, conditions: Conditions):
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self.conditions = conditions
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def angle_off_headwind(self, runway: RunwayData) -> int:
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wind = self.conditions.weather.wind.at_0m.direction
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ideal_heading = (wind + 180) % 360
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return abs(runway.runway_heading - ideal_heading)
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def get_preferred_runway(self, airport: Airport) -> RunwayData:
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"""Returns the preferred runway for the given airport.
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Right now we're only selecting runways based on whether or not
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they have
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ILS, but we could also choose based on wind conditions, or which
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direction flight plans should follow.
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"""
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runways = list(RunwayData.for_pydcs_airport(airport))
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# Find the runway with the best headwind first.
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best_runways = [runways[0]]
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best_angle_off_headwind = self.angle_off_headwind(best_runways[0])
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for runway in runways[1:]:
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angle_off_headwind = self.angle_off_headwind(runway)
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if angle_off_headwind == best_angle_off_headwind:
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best_runways.append(runway)
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elif angle_off_headwind < best_angle_off_headwind:
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best_runways = [runway]
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best_angle_off_headwind = angle_off_headwind
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for runway in best_runways:
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# But if there are multiple runways with the same heading,
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# prefer
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# and ILS capable runway.
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if runway.ils is not None:
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return runway
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# Otherwise the only difference between the two is the distance from
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# parking, which we don't know, so just pick the first one.
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return best_runways[0]
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