wip: create proper board analyzer for ai

src/main/java/uulm/teamname/marvelous/gamelibrary/ai/Board.java

@@ -1,20 +1,20 @@
 package uulm.teamname.marvelous.gamelibrary.ai;
 
 import uulm.teamname.marvelous.gamelibrary.IntVector2;
-import uulm.teamname.marvelous.gamelibrary.config.CharacterConfig;
-import uulm.teamname.marvelous.gamelibrary.config.PartyConfig;
-import uulm.teamname.marvelous.gamelibrary.config.ScenarioConfig;
 import uulm.teamname.marvelous.gamelibrary.entities.*;
 import uulm.teamname.marvelous.gamelibrary.entities.Character;
 import uulm.teamname.marvelous.gamelibrary.gamelogic.GameStateView;
 
 import java.util.ArrayList;
+import java.util.Objects;
 
 class Board {
     private final Piece[][] data;
+    private final EntityType turn;
 
-    private Board(Piece[][] data) {
+    private Board(Piece[][] data, EntityType turn) {
         this.data = data;
+        this.turn = turn;
     }
 
     public static Board generate(GameStateView state, EntityType player) {
@@ -38,7 +38,7 @@ class Board {
                         case P1, P2 -> {
                             Character character = (Character)entity;
                             data[y][x] = new Piece(
-                                    entity.id.type == player ? PieceType.Friend : PieceType.Enemy,
+                                    PieceType.Character,
                                     entity.id,
                                     character.hp.getValue(),
                                     character.hp.getMax(),
@@ -64,10 +64,37 @@ class Board {
                 }
             }
         }
-        return new Board(data);
+        return new Board(data, player);
     }
 
-    public Action analyze(IntVector2 position, EntityType turn, PartyConfig partyConfig, CharacterConfig characterConfig, ScenarioConfig scenarioConfig) {
-        return new Action(ActionType.None);
+    protected ArrayList<Action> generateActions() {
+        ArrayList<Action> result = new ArrayList<>();
+
+        //TODO: generate possible actions
+
+        return result;
+    }
+
+    protected Board applyAction(Action action) {
+        Piece[][] clone = new Piece[this.data.length][this.data[0].length];
+
+        for(int x = 0; x < this.data[0].length; x++) {
+            for(int y = 0; y < this.data.length; y++) {
+                clone[y][x] = this.data[y][x].clone();
+            }
+        }
+
+        //TODO: apply action
+
+        return new Board(clone, turn == EntityType.P1 ? EntityType.P2 : EntityType.P1);
+    }
+
+    protected int calculateScore() {
+        //TODO: create score calculation
+        return 0;
+    }
+
+    protected int calculateHash() {
+        return Objects.hash(super.hashCode(), data);
     }
 }