First working version of iterative deepening alpha beta

src/classes/Engines.py

@@ -155,7 +155,7 @@ class AlphabetaPlayerEngine(PlayerEngine):
     def checkAlphaBeta(self, board, friend_move : bool, depth, alpha, beta):
         nodes = 1
         leafs = 0
-        if depth == 0 or board.is_game_over():
+        if depth == 0 or board.is_game_over() or self.interrupt_search:
             leafs +=1
             return self.heuristic.get(board, self.player), nodes, leafs
 
@@ -169,10 +169,10 @@ class AlphabetaPlayerEngine(PlayerEngine):
                 nodes += n
                 leafs += l
                 if alpha >= beta:
-                    self.logger.debug("Alpha pruning - alpha:{} / beta:{}".format(
-                        alpha,
-                        beta
-                    ))
+                #     self.logger.debug("Alpha pruning - alpha:{} / beta:{}".format(
+                #         alpha,
+                #         beta
+                #     ))
                     return beta, nodes, leafs
             return alpha, nodes, leafs
 
@@ -186,10 +186,10 @@ class AlphabetaPlayerEngine(PlayerEngine):
                 nodes += n
                 leafs += l
                 if alpha >= beta:
-                    self.logger.debug("Beta pruning - alpha:{} / beta:{}".format(
-                        alpha,
-                        beta
-                    ))
+                #    self.logger.debug("Beta pruning - alpha:{} / beta:{}".format(
+                #        alpha,
+                #        beta
+                #    ))
                     return alpha, nodes, leafs
             return beta, nodes, leafs
 
@@ -240,3 +240,53 @@ class MinmaxDeepeningPlayerEngine(MinmaxPlayerEngine):
     def alarm_handler(self, signal, frame):
         self.logger.debug("Raise SIGALMR Signal")
         self.interrupt_search = True
+
+
+
+class AlphaBetaDeepeningPlayerEngine(AlphabetaPlayerEngine):
+
+    def get_move(self, board):
+        super().get_move(board)
+        self.interrupt_search = False
+        
+        # Get an alarm signal to stop iterations
+        signal.signal(signal.SIGALRM, self.alarm_handler)
+        signal.alarm(self.options['time_limit'])
+        depth = 1
+        alpha = -math.inf
+        beta = math.inf
+        nodes = 1
+        leafs = 0
+        move = None
+
+        # We can go deeper than blank place in our board, then we must get
+        # numbers of avaible place
+        max_depth =  (board.get_board_size()**2) - (
+                board.get_nb_pieces()[0] + board.get_nb_pieces()[1])
+
+        # Iterate depth while our alarm does not trigger and there is enougth
+        # avaiable move to play
+        while not self.interrupt_search and depth <= max_depth:
+            for m in board.legal_moves():
+                board.push(m)
+                v, n, l = self.checkAlphaBeta(board, False, depth - 1, alpha, beta)
+                board.pop()
+                nodes += n
+                leafs += l
+                if  v >= alpha:
+                    alpha = v
+                    move = m
+                    self.logger.debug("found a better move: {} (heuristic:{})".format(
+                        move,
+                        alpha
+                    ))
+            depth = depth + 1
+        self.logger.debug("id_alphabeta - depth reached: {} | max depth : {}".format(
+            depth - 1,
+            max_depth
+        ))
+        return move
+
+    def alarm_handler(self, signal, frame):
+        self.logger.debug("Raise SIGALMR Signal")
+        self.interrupt_search = True

src/game.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 
 from classes.Reversi import Board
-from classes.Engines import RandomPlayerEngine, HumanPlayerEngine, MinmaxPlayerEngine, AlphabetaPlayerEngine, MinmaxDeepeningPlayerEngine
+from classes.Engines import RandomPlayerEngine, HumanPlayerEngine, MinmaxPlayerEngine, AlphabetaPlayerEngine, MinmaxDeepeningPlayerEngine, AlphaBetaDeepeningPlayerEngine
 from classes.Heuristic import ScoreHeuristicEngine, WeightHeuristicEngine, FullHeuristicEngine
 import logging as log
 import argparse as arg
@@ -12,7 +12,7 @@ from classes.CustomFormater import CustomFormatter
 Function to parse command line arguments
 """
 def parse_aguments():
-    engines_choices=['random', 'human', 'minmax', 'alphabeta', 'id_minmax']
+    engines_choices=['random', 'human', 'minmax', 'alphabeta', 'id_minmax', 'id_alphabeta']
     heuristic_choices=['score', 'weight', 'full']
     parser = arg.ArgumentParser('Playing Reversi with (virtual) friend')
 
@@ -79,6 +79,7 @@ if __name__ == '__main__':
         "minmax": MinmaxPlayerEngine,
         "alphabeta": AlphabetaPlayerEngine,
         "id_minmax": MinmaxDeepeningPlayerEngine,
+        "id_alphabeta": AlphaBetaDeepeningPlayerEngine
     }
     heuristic_engine = {
         "score": ScoreHeuristicEngine,