stockfish.py

from __future__ import print_function
import cPickle as pickle
import os  # , Queue
import time
import threading
import json
import chess
from constants import ENGINE_PATH

from pystockfish import *

TO_EXE = True

# import multiprocessing

# Contempt Integer, Default: 0, Min: -100, Max: 100
# Roughly equivalent to "optimism." Positive values of contempt favor more "risky" play,
# while negative values will favor draws. Zero is neutral.

# ?? Min Split Depth Integer, Default: 0, Min: 0, Max: 12

# Threads Integer, Default: 1, Min: 1, Max: 128
# The number of threads to use during the search. This number should be set to the number of cores in your CPU.

# Hash Integer, Default: 16, Min: 1, Max: 1048576
# The amount of memory to use for the hash during search,
# specified in MB (megabytes). This number should be smaller than the amount of physical memory for your system.

# Ponder Boolean, Default: True
# Whether or not the engine should analyze when it is the opponent's turn.

# MultiPV Integer, Default: 1, Min: 1, Max: 500
# The number of alternate lines of analysis to display. Specify 1 to just get the best line.
# Asking for more lines slows down the search.

# ?? Move Overhead Integer, Default: 30, Min: 0, Max:5000

# Minimum Thinking Time Integer, Default: 20, Min: 0, Max: 5000
# The minimum amount of time to analyze, in milliseconds.

# ?? Slow Mover Integer, Default: 70, Min: 10, Max: 1000

params = {
    "Contempt Factor": 0,
    "Min Split Depth": 0,
    "Threads": 2,
    "Hash": 128,
    "MultiPV": 1,
    "Skill Level": 20,
    "Move Overhead": 30,
    "Minimum Thinking Time": 20,
    "Slow Mover": 80,
}


class EngineThread(threading.Thread):
    def __init__(
        self,
        move_history,
        difficulty,
        engine="stockfish",
        starting_position=chess.STARTING_FEN,
        *args,
        **kwargs
    ):
        self.engine = engine
        self.engine_path = os.path.join(ENGINE_PATH, "{}.exe".format(self.engine))
        self.engine_parameters = None
        try:
            with open(
                os.path.join(ENGINE_PATH, "{}.parameters.json".format(self.engine))
            ) as f:
                self.engine_parameters = json.load(f)
        except:
            logging.warning(
                "Could not load params for engine %s. Defaults will be used"
            )
            pass
        self.move_history = move_history
        self.please_stop = False
        self.stop_engine = False
        self.engine_running = False
        self.engine = None
        self.best_move = None
        self.difficulty = difficulty
        self.stop_sent = False
        self.starting_position = starting_position
        super(EngineThread, self).__init__(*args, **kwargs)

    def run(self):
        logging.info("Starting engine...")
        self.engine = Engine(
            depth=self.difficulty, binary=self.engine_path, param=self.engine_parameters
        )
        logging.info("Setting position to %s", self.move_history)
        self.engine.setposition(self.move_history, starting_position=self.starting_position)
        self.engine.go()
        while True:
            if self.stop_engine and not self.stop_sent:
                self.engine.put("stop")
                self.stop_sent = True
            best_move = self.engine.trybestmove()
            if best_move:
                if best_move.get("best_move"):
                    self.best_move = best_move["move"]
                    break
                if "depth" in best_move:
                    if best_move["depth"] > self.difficulty:
                        if self.best_move:
                            break
                        self.best_move = best_move["move"]
                        break
        self.engine.kill()

    def stop(self):
        self.stop_engine = True


def main():
    logging.basicConfig(level="DEBUG")
    et = EngineThread(move_history=[], difficulty=5)
    et.start()
    et.join()
    print(et.best_move)


if __name__ == "__main__":
    main()