mirror of
https://github.com/dcs-retribution/dcs-retribution.git
synced 2025-11-10 15:41:24 +00:00
0a416ab758
This improves the AI behavior by choosing the stances non-randomly: * Breakthrough will be used if the base is expected to be capturable and the coalition outnumbers the enemy by 20%. * Elimination will be used if the coalition has at least as many units as the enemy. * Defensive will be used if the coalition has at least half as many units as the enemy. * Retreat will be used if the coalition is significantly outnumbers. This also exposes the option to the player.
20 lines
751 B
Python
20 lines
751 B
Python
from collections import Iterator
|
|
from dataclasses import dataclass
|
|
|
|
from game.commander.tasks.primitive.cas import PlanCas
|
|
from game.commander.tasks.primitive.defensivestance import DefensiveStance
|
|
from game.commander.tasks.primitive.retreatstance import RetreatStance
|
|
from game.commander.theaterstate import TheaterState
|
|
from game.htn import CompoundTask, Method
|
|
from game.theater import FrontLine
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class DefendBase(CompoundTask[TheaterState]):
|
|
front_line: FrontLine
|
|
|
|
def each_valid_method(self, state: TheaterState) -> Iterator[Method[TheaterState]]:
|
|
yield [DefensiveStance(self.front_line, state.player)]
|
|
yield [RetreatStance(self.front_line, state.player)]
|
|
yield [PlanCas(self.front_line)]
|