Move files into chesspp module

chesspp/util.py

@@ -0,0 +1,79 @@
+import chess
+import chess.engine
+from stockfish import Stockfish
+import numpy as np
+import random
+
+
+def pick_move(board: chess.Board) -> chess.Move | None:
+    """
+    Pick a random move
+    :param board: chess board
+    :return: a valid move or None if no valid move available
+    """
+    if len(list(board.legal_moves)) == 0:
+        return None
+    return random.choice(list(board.legal_moves))
+
+
+def simulate_game(board: chess.Board, move: chess.Move, depth: int):
+    """
+    Simulate a game starting with the given move
+    :param board: chess board
+    :param move: chosen move
+    :param depth: number of moves that should be simulated after playing the chosen move
+    :return: the score for the simulated game
+    """
+    engine = chess.engine.SimpleEngine.popen_uci("./stockfish/stockfish-ubuntu-x86-64-avx2")
+    board.push(move)
+    for i in range(depth):
+        if board.is_game_over():
+            engine.quit()
+            return
+        r = engine.play(board, chess.engine.Limit(depth=2))
+        board.push(r.move)
+
+    engine.quit()
+
+
+def simulate_stockfish_prob(board: chess.Board, move: chess.Move, games: int = 10, depth: int = 10) -> (float, float):
+    """
+    Simulate a game using
+    :param board: chess board
+    :param move: chosen move
+    :param games: number of games that should be simulated after playing the move
+    :param depth: simulation depth per game
+    :return:
+    """
+    board.push(move)
+    copied_board = board.copy()
+    scores = []
+
+    stockfish = Stockfish("./stockfish/stockfish-ubuntu-x86-64-avx2", depth=2, parameters={"Threads": 8, "Hash": 2048})
+    stockfish.set_elo_rating(1200)
+    stockfish.set_fen_position(board.fen())
+
+    def reset_game():
+        nonlocal scores, copied_board, board
+        score = eval.score_stockfish(copied_board).white().score(mate_score=100_000)
+        scores.append(score)
+        copied_board = board.copy()
+        stockfish.set_fen_position(board.fen())
+
+    for _ in range(games):
+        for d in range(depth):
+            if copied_board.is_game_over() or d == depth - 1:
+                reset_game()
+                break
+
+            if d == depth - 1:
+                reset_game()
+
+            top_moves = stockfish.get_top_moves(3)
+            chosen_move = random.choice(top_moves)['Move']
+            stockfish.make_moves_from_current_position([chosen_move])
+            copied_board.push(chess.Move.from_uci(chosen_move))
+
+    print(scores)
+    # TODO: return distribution here?
+    return np.array(scores).mean(), np.array(scores).std()