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During package planning we don't care about the details of the flight plan, just the layout (to check if the layout is threatened and we need escorts). Splitting these will allow us to reduce the amount of work that must be done in each loop of the planning phase, potentially caching attempted flight plans between loops.
100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
from __future__ import annotations
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from abc import ABC, abstractmethod
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from collections.abc import Iterator
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from dataclasses import dataclass
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from datetime import timedelta
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from typing import Any, TYPE_CHECKING, TypeGuard, TypeVar
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from game.ato.flightplans.standard import StandardFlightPlan, StandardLayout
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from game.typeguard import self_type_guard
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from game.utils import Distance, Speed
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if TYPE_CHECKING:
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from ..flightwaypoint import FlightWaypoint
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from .flightplan import FlightPlan
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@dataclass(frozen=True)
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class PatrollingLayout(StandardLayout):
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nav_to: list[FlightWaypoint]
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patrol_start: FlightWaypoint
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patrol_end: FlightWaypoint
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nav_from: list[FlightWaypoint]
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def iter_waypoints(self) -> Iterator[FlightWaypoint]:
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yield self.departure
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yield from self.nav_to
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yield self.patrol_start
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yield self.patrol_end
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yield from self.nav_from
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yield self.arrival
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if self.divert is not None:
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yield self.divert
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yield self.bullseye
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LayoutT = TypeVar("LayoutT", bound=PatrollingLayout)
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class PatrollingFlightPlan(StandardFlightPlan[LayoutT], ABC):
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@property
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@abstractmethod
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def patrol_duration(self) -> timedelta:
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"""Maximum time to remain on station."""
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@property
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@abstractmethod
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def patrol_speed(self) -> Speed:
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"""Racetrack speed TAS."""
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@property
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@abstractmethod
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def engagement_distance(self) -> Distance:
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"""The maximum engagement distance.
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The engagement range of any Search Then Engage task, or the radius of a Search
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Then Engage in Zone task. Any enemies of the appropriate type for this mission
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within this range of the flight's current position (or the center of the zone)
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will be engaged by the flight.
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"""
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@property
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def patrol_start_time(self) -> timedelta:
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return self.package.time_over_target
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@property
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def patrol_end_time(self) -> timedelta:
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# TODO: This is currently wrong for CAS.
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# CAS missions end when they're winchester or bingo. We need to
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# configure push tasks for the escorts rather than relying on timing.
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return self.patrol_start_time + self.patrol_duration
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def tot_for_waypoint(self, waypoint: FlightWaypoint) -> timedelta | None:
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if waypoint == self.layout.patrol_start:
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return self.patrol_start_time
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return None
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def depart_time_for_waypoint(self, waypoint: FlightWaypoint) -> timedelta | None:
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if waypoint == self.layout.patrol_end:
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return self.patrol_end_time
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return None
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@property
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def package_speed_waypoints(self) -> set[FlightWaypoint]:
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return {self.layout.patrol_start, self.layout.patrol_end}
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@property
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def tot_waypoint(self) -> FlightWaypoint | None:
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return self.layout.patrol_start
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@property
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def mission_departure_time(self) -> timedelta:
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return self.patrol_end_time
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@self_type_guard
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def is_patrol(
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self, flight_plan: FlightPlan[Any]
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) -> TypeGuard[PatrollingFlightPlan[Any]]:
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return True
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