zhexu14 ac2fbc2940
Support planning TARCAP at last airfield.
This PR addresses #771 by adding special handling for the scenario where
there is only one remaining enemy airfield. An example of the race track
generated using this logic is shown below.

![Screenshot 2023-10-31
230938](https://github.com/dcs-liberation/dcs_liberation/assets/64713351/3fb2027e-f496-4325-a3c5-2abe2a45b58f)

Fixes https://github.com/dcs-liberation/dcs_liberation/issues/771.
2023-11-01 16:52:35 -07:00

133 lines
5.4 KiB
Python

from __future__ import annotations
import copy
import random
from abc import ABC
from typing import Any, TYPE_CHECKING, TypeVar
from dcs import Point
from shapely.geometry import Point as ShapelyPoint
from game.utils import Heading, meters, nautical_miles
from .flightplan import FlightPlan
from .patrolling import PatrollingLayout
from ..closestairfields import ObjectiveDistanceCache
from ..flightplans.ibuilder import IBuilder
from ..flightplans.planningerror import PlanningError
if TYPE_CHECKING:
from game.theater import MissionTarget
FlightPlanT = TypeVar("FlightPlanT", bound=FlightPlan[Any])
LayoutT = TypeVar("LayoutT", bound=PatrollingLayout)
class CapBuilder(IBuilder[FlightPlanT, LayoutT], ABC):
def cap_racetrack_for_objective(
self, location: MissionTarget, barcap: bool
) -> tuple[Point, Point]:
closest_cache = ObjectiveDistanceCache.get_closest_airfields(location)
closest_friendly_field = (
None # keep track of closest frieldly airfield in case we need it
)
for airfield in closest_cache.operational_airfields:
# If the mission is a BARCAP of an enemy airfield, find the *next*
# closest enemy airfield.
if airfield == self.package.target:
continue
if airfield.captured != self.is_player:
closest_airfield = airfield
break
elif closest_friendly_field is None:
closest_friendly_field = airfield
else:
if barcap:
# If planning a BARCAP, we should be able to find at least one enemy
# airfield. If we can't, it's an error.
raise PlanningError("Could not find any enemy airfields")
else:
# if we cannot find any friendly or enemy airfields other than the target,
# there's nothing we can do
if closest_friendly_field is None:
raise PlanningError(
"Could not find any enemy or friendly airfields"
)
# If planning other race tracks (TARCAPs, currently), the target may be
# the only enemy airfield. In this case, set the race track orientation using
# a virtual point equi-distant from but opposite to the target from the closest
# friendly airfield like below, where F is the closest friendly airfield, T is
# the sole enemy airfield and V the virtual point
#
# F ---- T ----- V
#
# We need to create this virtual point, rather than using F to make sure
# the race track is aligned towards the target.
closest_friendly_field_position = copy.deepcopy(
closest_friendly_field.position
)
closest_airfield = closest_friendly_field
closest_airfield.position.x = (
2 * self.package.target.position.x
- closest_friendly_field_position.x
)
closest_airfield.position.y = (
2 * self.package.target.position.y
- closest_friendly_field_position.y
)
heading = Heading.from_degrees(
location.position.heading_between_point(closest_airfield.position)
)
position = ShapelyPoint(
self.package.target.position.x, self.package.target.position.y
)
if barcap:
# BARCAPs should remain far enough back from the enemy that their
# commit range does not enter the enemy's threat zone. Include a 5nm
# buffer.
distance_to_no_fly = (
meters(position.distance(self.threat_zones.all))
- self.doctrine.cap_engagement_range
- nautical_miles(5)
)
max_track_length = self.doctrine.cap_max_track_length
else:
# Other race tracks (TARCAPs, currently) just try to keep some
# distance from the nearest enemy airbase, but since they are by
# definition in enemy territory they can't avoid the threat zone
# without being useless.
min_distance_from_enemy = nautical_miles(20)
distance_to_airfield = meters(
closest_airfield.position.distance_to_point(
self.package.target.position
)
)
distance_to_no_fly = distance_to_airfield - min_distance_from_enemy
# TARCAPs fly short racetracks because they need to react faster.
max_track_length = self.doctrine.cap_min_track_length + 0.3 * (
self.doctrine.cap_max_track_length - self.doctrine.cap_min_track_length
)
min_cap_distance = min(
self.doctrine.cap_min_distance_from_cp, distance_to_no_fly
)
max_cap_distance = min(
self.doctrine.cap_max_distance_from_cp, distance_to_no_fly
)
end = location.position.point_from_heading(
heading.degrees,
random.randint(int(min_cap_distance.meters), int(max_cap_distance.meters)),
)
track_length = random.randint(
int(self.doctrine.cap_min_track_length.meters),
int(max_track_length.meters),
)
start = end.point_from_heading(heading.opposite.degrees, track_length)
return start, end