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The increased precision that we had everywhere except the UI and the interface with DCS was causing issues with ASAP creating barely negative start times. The main cause of this was that we'd compute the earliest possible TOT, it would result in, for example, 23:10.002. When we then set the QTimeEdit for the TOT, we have to round because it does not support (nor do we really want to display) sub-second values, which then caused the previously 0 start time to be -0.002. Instead, since the sub-second values aren't really interesting anyway, we now just round TOTs up and start times down. This should prevent negative start times from occurring (except when they've been manually planned as such), and also prevents start times of 00:00:01. Also rounds the package waypoint times to avoid the same issues, but it's not really important which direction we round these. Fixes https://github.com/Khopa/dcs_liberation/issues/295
206 lines
7.9 KiB
Python
206 lines
7.9 KiB
Python
from __future__ import annotations
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import logging
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import math
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from datetime import timedelta
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from typing import Optional, TYPE_CHECKING
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from dcs.mapping import Point
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from dcs.unittype import FlyingType
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from game.utils import meter_to_nm
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from gen.flights.flight import Flight
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if TYPE_CHECKING:
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from gen.ato import Package
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class GroundSpeed:
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@classmethod
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def for_flight(cls, flight: Flight, altitude: int) -> int:
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if not issubclass(flight.unit_type, FlyingType):
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raise TypeError("Flight has non-flying unit")
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# TODO: Expose both a cruise speed and target speed.
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# The cruise speed can be used for ascent, hold, join, and RTB to save
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# on fuel, but mission speed will be fast enough to keep the flight
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# safer.
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c_sound_sea_level = 661.5
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# DCS's max speed is in kph at 0 MSL. Convert to knots.
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max_speed = flight.unit_type.max_speed * 0.539957
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if max_speed > c_sound_sea_level:
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# Aircraft is supersonic. Limit to mach 0.8 to conserve fuel and
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# account for heavily loaded jets.
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return int(cls.from_mach(0.8, altitude))
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# For subsonic aircraft, assume the aircraft can reasonably perform at
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# 80% of its maximum, and that it can maintain the same mach at altitude
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# as it can at sea level. This probably isn't great assumption, but
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# might. be sufficient given the wiggle room. We can come up with
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# another heuristic if needed.
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mach = max_speed * 0.8 / c_sound_sea_level
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return int(cls.from_mach(mach, altitude)) # knots
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@staticmethod
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def from_mach(mach: float, altitude: int) -> float:
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"""Returns the ground speed in knots for the given mach and altitude.
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Args:
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mach: The mach number to convert to ground speed.
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altitude: The altitude in feet.
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Returns:
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The ground speed corresponding to the given altitude and mach number
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in knots.
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"""
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# https://www.grc.nasa.gov/WWW/K-12/airplane/atmos.html
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if altitude <= 36152:
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temperature_f = 59 - 0.00356 * altitude
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else:
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# There's another formula for altitudes over 82k feet, but we better
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# not be planning waypoints that high...
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temperature_f = -70
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temperature_k = (temperature_f + 459.67) * (5 / 9)
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# https://www.engineeringtoolbox.com/specific-heat-ratio-d_602.html
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# Dependent on temperature, but varies very little (+/-0.001)
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# between -40F and 180F.
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heat_capacity_ratio = 1.4
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# https://www.grc.nasa.gov/WWW/K-12/airplane/sound.html
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gas_constant = 286 # m^2/s^2/K
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c_sound = math.sqrt(heat_capacity_ratio * gas_constant * temperature_k)
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# c_sound is in m/s, convert to knots.
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return (c_sound * 1.944) * mach
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class TravelTime:
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@staticmethod
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def between_points(a: Point, b: Point, speed: float) -> timedelta:
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error_factor = 1.1
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distance = meter_to_nm(a.distance_to_point(b))
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return timedelta(hours=distance / speed * error_factor)
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class TotEstimator:
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# An extra five minutes given as wiggle room. Expected to be spent at the
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# hold point performing any last minute configuration.
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HOLD_TIME = timedelta(minutes=5)
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def __init__(self, package: Package) -> None:
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self.package = package
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def mission_start_time(self, flight: Flight) -> timedelta:
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takeoff_time = self.takeoff_time_for_flight(flight)
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startup_time = self.estimate_startup(flight)
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ground_ops_time = self.estimate_ground_ops(flight)
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start_time = takeoff_time - startup_time - ground_ops_time
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# In case FP math has given us some barely below zero time, round to
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# zero.
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if math.isclose(start_time.total_seconds(), 0):
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return timedelta()
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# Trim microseconds. DCS doesn't handle sub-second resolution for tasks,
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# and they're not interesting from a mission planning perspective so we
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# don't want them in the UI.
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#
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# Round down so *barely* above zero start times are just zero.
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return timedelta(seconds=math.floor(start_time.total_seconds()))
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def takeoff_time_for_flight(self, flight: Flight) -> timedelta:
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travel_time = self.travel_time_to_rendezvous_or_target(flight)
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if travel_time is None:
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logging.warning("Found no join point or patrol point. Cannot "
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f"estimate takeoff time takeoff time for {flight}")
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# Takeoff immediately.
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return timedelta()
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from gen.flights.flightplan import FormationFlightPlan
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if isinstance(flight.flight_plan, FormationFlightPlan):
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tot = flight.flight_plan.tot_for_waypoint(
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flight.flight_plan.join)
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if tot is None:
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logging.warning(
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"Could not determine the TOT of the join point. Takeoff "
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f"time for {flight} will be immediate.")
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return timedelta()
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else:
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tot = self.package.time_over_target
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return tot - travel_time - self.HOLD_TIME
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def earliest_tot(self) -> timedelta:
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earliest_tot = max((
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self.earliest_tot_for_flight(f) for f in self.package.flights
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)) + self.HOLD_TIME
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# Trim microseconds. DCS doesn't handle sub-second resolution for tasks,
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# and they're not interesting from a mission planning perspective so we
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# don't want them in the UI.
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#
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# Round up so we don't get negative start times.
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return timedelta(seconds=math.ceil(earliest_tot.total_seconds()))
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def earliest_tot_for_flight(self, flight: Flight) -> timedelta:
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"""Estimate fastest time from mission start to the target position.
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For BARCAP flights, this is time to race track start. This ensures that
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they are on station at the same time any other package members reach
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their ingress point.
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For other mission types this is the time to the mission target.
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Args:
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flight: The flight to get the earliest TOT time for.
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Returns:
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The earliest possible TOT for the given flight in seconds. Returns 0
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if an ingress point cannot be found.
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"""
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time_to_target = self.travel_time_to_target(flight)
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if time_to_target is None:
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logging.warning(f"Cannot estimate TOT for {flight}")
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# Return 0 so this flight's travel time does not affect the rest
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# of the package.
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return timedelta()
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startup = self.estimate_startup(flight)
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ground_ops = self.estimate_ground_ops(flight)
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return startup + ground_ops + time_to_target
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@staticmethod
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def estimate_startup(flight: Flight) -> timedelta:
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if flight.start_type == "Cold":
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if flight.client_count:
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return timedelta(minutes=10)
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else:
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# The AI doesn't seem to have a real startup procedure.
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return timedelta(minutes=2)
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return timedelta()
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@staticmethod
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def estimate_ground_ops(flight: Flight) -> timedelta:
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if flight.start_type in ("Runway", "In Flight"):
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return timedelta()
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if flight.from_cp.is_fleet:
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return timedelta(minutes=2)
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else:
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return timedelta(minutes=5)
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@staticmethod
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def travel_time_to_target(flight: Flight) -> Optional[timedelta]:
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if flight.flight_plan is None:
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return None
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return flight.flight_plan.travel_time_to_target
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@staticmethod
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def travel_time_to_rendezvous_or_target(
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flight: Flight) -> Optional[timedelta]:
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if flight.flight_plan is None:
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return None
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from gen.flights.flightplan import FormationFlightPlan
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if isinstance(flight.flight_plan, FormationFlightPlan):
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return flight.flight_plan.travel_time_to_rendezvous
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return flight.flight_plan.travel_time_to_target
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