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* TrainingAI - AI opponent system for training mode
*
* Integrates AIPersonality, DecisionTree, and ComboSystem to create
* a configurable AI opponent for training scenarios.
*
* **Korean Philosophy (훈련 AI 철학)**:
* - 단계적 난이도 (Stepped Difficulty): Progressive challenge levels
* - 교육적 피드백 (Educational Feedback): AI teaches through behavior
* - 적응형 전투 (Adaptive Combat): AI adjusts to player skill
*/
import { Position, TrigramStance } from "@/types";
import { PlayerState } from "../player";
import { AIPersonality, AI_PERSONALITIES } from "./AIPersonality";
import { AIDecisionTree, CombatContext, AIDecision } from "./DecisionTree";
import { AIComboSystem } from "./ComboSystem";
import { AdaptiveDifficulty } from "./AdaptiveDifficulty";
/**
* Training AI difficulty levels
*/
export type AITrainingDifficulty = "easy" | "medium" | "hard";
/**
* Training AI state
*/
export interface TrainingAIState {
readonly difficulty: AITrainingDifficulty;
readonly personality: AIPersonality;
readonly currentAction: AIDecision | null;
readonly position: Position;
readonly stance: TrigramStance;
readonly isActive: boolean;
readonly reactionTime: number; // ms delay before responding
readonly blockChance: number; // 0.0-1.0
readonly counterChance: number; // 0.0-1.0
readonly lastActionTime: number;
}
/**
* Training AI configuration based on difficulty
*/
interface DifficultyConfig {
readonly reactionTime: number;
readonly blockChance: number;
readonly counterChance: number;
readonly aggressionMultiplier: number;
readonly aiSkillLevel: number; // For DecisionTree
}
const DIFFICULTY_CONFIGS: Record<AITrainingDifficulty, DifficultyConfig> = {
easy: {
reactionTime: 500, // 500ms reaction delay
blockChance: 0.3,
counterChance: 0.1,
aggressionMultiplier: 0.6,
aiSkillLevel: 0.3,
},
medium: {
reactionTime: 300, // 300ms reaction delay
blockChance: 0.5,
counterChance: 0.3,
aggressionMultiplier: 0.8,
aiSkillLevel: 0.6,
},
hard: {
reactionTime: 150, // 150ms reaction delay
blockChance: 0.7,
counterChance: 0.5,
aggressionMultiplier: 1.0,
aiSkillLevel: 0.9,
},
};
/**
* TrainingAI System
*
* Manages AI opponent behavior in training mode using existing AI systems.
* Provides configurable difficulty and realistic martial arts behavior.
*/
export class TrainingAI {
private state: TrainingAIState;
private decisionTree: AIDecisionTree;
private comboSystem: AIComboSystem;
private adaptiveDifficulty: AdaptiveDifficulty;
private actionDelayTimer: number = 0;
constructor(
difficulty: AITrainingDifficulty = "medium",
initialPosition: Position = { x: 5, y: 0 },
personalityKey?: string
) {
// Select personality based on difficulty or use provided key
const personality = personalityKey
? AI_PERSONALITIES[personalityKey] ?? AI_PERSONALITIES.BALANCED_FIGHTER
: this.selectPersonalityForDifficulty(difficulty);
const config = DIFFICULTY_CONFIGS[difficulty];
this.state = {
difficulty,
personality,
currentAction: null,
position: initialPosition,
stance: personality.favoredStances[0] ?? TrigramStance.GEON,
isActive: false,
reactionTime: config.reactionTime,
blockChance: config.blockChance,
counterChance: config.counterChance,
lastActionTime: 0,
};
// Initialize AI systems
this.decisionTree = new AIDecisionTree();
this.decisionTree.setDifficultyLevel(config.aiSkillLevel);
this.comboSystem = new AIComboSystem();
this.adaptiveDifficulty = new AdaptiveDifficulty();
}
/**
* Select appropriate personality for difficulty level
*/
private selectPersonalityForDifficulty(
difficulty: AITrainingDifficulty
): AIPersonality {
switch (difficulty) {
case "easy":
return AI_PERSONALITIES.DEFENSIVE_SPECIALIST; // Less aggressive
case "medium":
return AI_PERSONALITIES.BALANCED_FIGHTER; // Balanced approach
case "hard":
return AI_PERSONALITIES.AGGRESSIVE_STRIKER; // More aggressive
default:
return AI_PERSONALITIES.BALANCED_FIGHTER;
}
}
/**
* Activate AI opponent
*/
activate(): void {
this.state = {
...this.state,
isActive: true,
lastActionTime: Date.now(),
};
}
/**
* Deactivate AI opponent
*/
deactivate(): void {
this.state = {
...this.state,
isActive: false,
currentAction: null,
};
}
/**
* Update AI behavior (60fps game loop)
*
* Internal method called each frame by the TrainingAI system to process AI decision-making and update state.
* Respects reaction time delays based on difficulty level.
*
* @param deltaTime - Time since last frame in seconds
* @param playerState - Current player state
* @param aiPlayerState - Current AI player state (for combat systems)
* @returns Updated AI decision or null if inactive/delayed
*/
update(
deltaTime: number,
playerState: PlayerState,
aiPlayerState: PlayerState
): AIDecision | null {
if (!this.state.isActive) {
return null;
}
const now = Date.now();
// Update action delay timer
this.actionDelayTimer = Math.max(0, this.actionDelayTimer - deltaTime * 1000);
// Check if enough time has passed since last decision (reaction time)
if (this.actionDelayTimer > 0) {
return this.state.currentAction;
}
// Build combat context
const context: CombatContext = {
playerPosition: this.state.position,
opponentPosition: playerState.position,
playerHealth: aiPlayerState.health,
playerMaxHealth: aiPlayerState.maxHealth,
playerKi: aiPlayerState.ki,
playerMaxKi: aiPlayerState.maxKi,
playerStamina: aiPlayerState.stamina,
playerMaxStamina: aiPlayerState.maxStamina,
opponentHealth: playerState.health,
opponentStance: playerState.currentStance,
playerStance: this.state.stance,
distanceToOpponent: this.calculateDistance(
this.state.position,
playerState.position
),
timeInMatch: (now - this.state.lastActionTime) / 1000,
isOpponentAttacking: this.isPlayerAttacking(playerState),
recentDamageTaken: aiPlayerState.totalDamageReceived,
arenaBounds: {
x: -8,
y: -6,
width: 16,
height: 12,
},
};
// Get adjusted personality from adaptive difficulty
const adjustedPersonality = this.adjustPersonalityForTraining(
this.state.personality
);
// Make decision using decision tree
const decision = this.decisionTree.makeDecision(
context,
adjustedPersonality,
this.comboSystem
);
// Apply reaction time delay for next action
this.actionDelayTimer = this.state.reactionTime;
// Update state with new decision
this.state = {
...this.state,
currentAction: decision,
lastActionTime: now,
};
return decision;
}
/**
* Adjust personality based on training context
*/
private adjustPersonalityForTraining(
basePersonality: AIPersonality
): AIPersonality {
const config = DIFFICULTY_CONFIGS[this.state.difficulty];
// Apply difficulty multiplier to aggression
return {
...basePersonality,
aggressionLevel: basePersonality.aggressionLevel * config.aggressionMultiplier,
defensePreference:
basePersonality.defensePreference * (2 - config.aggressionMultiplier),
};
}
/**
* Calculate distance between two positions
*/
private calculateDistance(pos1: Position, pos2: Position): number {
const dx = pos2.x - pos1.x;
const dy = pos2.y - pos1.y;
return Math.sqrt(dx * dx + dy * dy);
}
/**
* Determine if player is currently attacking
*/
private isPlayerAttacking(playerState: PlayerState): boolean {
const timeSinceLastAction = Date.now() - playerState.lastActionTime;
return timeSinceLastAction < 500; // 500ms attack window
}
/**
* Update AI position (for movement actions)
*/
updatePosition(newPosition: Position): void {
this.state = {
...this.state,
position: newPosition,
};
}
/**
* Update AI stance
*/
updateStance(newStance: TrigramStance): void {
this.state = {
...this.state,
stance: newStance,
};
}
/**
* Set difficulty
*/
setDifficulty(difficulty: AITrainingDifficulty): void {
const config = DIFFICULTY_CONFIGS[difficulty];
const personality = this.selectPersonalityForDifficulty(difficulty);
this.state = {
...this.state,
difficulty,
personality,
reactionTime: config.reactionTime,
blockChance: config.blockChance,
counterChance: config.counterChance,
};
this.decisionTree.setDifficultyLevel(config.aiSkillLevel);
}
/**
* Reset AI state
*/
reset(): void {
this.decisionTree.reset();
this.comboSystem.resetCombo();
this.actionDelayTimer = 0;
this.state = {
...this.state,
currentAction: null,
lastActionTime: Date.now(),
};
}
/**
* Get current AI state (for display/debugging)
*/
getState(): Readonly<TrainingAIState> {
return this.state;
}
/**
* Check if AI should block incoming attack
*/
shouldBlock(): boolean {
return Math.random() < this.state.blockChance;
}
/**
* Check if AI should counter incoming attack
*/
shouldCounter(): boolean {
return Math.random() < this.state.counterChance;
}
/**
* Get AI's current decision for debugging
*/
getCurrentDecision(): AIDecision | null {
return this.state.currentAction;
}
/**
* Update adaptive difficulty based on match performance
*/
updateAdaptiveDifficulty(matchData: {
readonly hitsLanded: number;
readonly totalAttacks: number;
readonly combosExecuted: number;
readonly perfectBlockCount: number;
readonly avgReactionTimeMs: number;
readonly vitalPointsHit: number;
readonly effectiveStanceChanges: number;
readonly damageDealt: number;
readonly damageTaken: number;
}): void {
this.adaptiveDifficulty.updateSkillMetrics(matchData);
// Optionally adjust difficulty based on adaptive system
// For training, we might want to keep difficulty stable
}
}
export default TrainingAI;
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