from pychess.Utils.lutils.LBoard import LBoard
from pychess.Utils.lutils.leval import clearPawnTable
from pychess.Utils.lutils.lmove import listToSan
from pychess.Utils.lutils import lsearch
from pychess.Utils.const import NORMALCHESS
import sys
from time import time

# For now, we use the benchmark positions from Stockfish.
benchmarkPositions = [
    "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1",
    "r3k2r/p1ppqpb1/bn2pnp1/3PN3/1p2P3/2N2Q1p/PPPBBPPP/R3K2R w KQkq - 0 10",
    "8/2p5/3p4/KP5r/1R3p1k/8/4P1P1/8 w - - 0 11",
    "4rrk1/pp1n3p/3q2pQ/2p1pb2/2PP4/2P3N1/P2B2PP/4RRK1 b - - 7 19",
    "rq3rk1/ppp2ppp/1bnpb3/3N2B1/3NP3/7P/PPPQ1PP1/2KR3R w - - 7 14",
    "r1bq1r1k/1pp1n1pp/1p1p4/4p2Q/4Pp2/1BNP4/PPP2PPP/3R1RK1 w - - 2 14",
    "r3r1k1/2p2ppp/p1p1bn2/8/1q2P3/2NPQN2/PPP3PP/R4RK1 b - - 2 15",
    "r1bbk1nr/pp3p1p/2n5/1N4p1/2Np1B2/8/PPP2PPP/2KR1B1R w kq - 0 13",
    "r1bq1rk1/ppp1nppp/4n3/3p3Q/3P4/1BP1B3/PP1N2PP/R4RK1 w - - 1 16",
    "4r1k1/r1q2ppp/ppp2n2/4P3/5Rb1/1N1BQ3/PPP3PP/R5K1 w - - 1 17",
    "2rqkb1r/ppp2p2/2npb1p1/1N1Nn2p/2P1PP2/8/PP2B1PP/R1BQK2R b KQ - 0 11",
    "r1bq1r1k/b1p1npp1/p2p3p/1p6/3PP3/1B2NN2/PP3PPP/R2Q1RK1 w - - 1 16",
    "3r1rk1/p5pp/bpp1pp2/8/q1PP1P2/b3P3/P2NQRPP/1R2B1K1 b - - 6 22",
    "r1q2rk1/2p1bppp/2Pp4/p6b/Q1PNp3/4B3/PP1R1PPP/2K4R w - - 2 18",
    "4k2r/1pb2ppp/1p2p3/1R1p4/3P4/2r1PN2/P4PPP/1R4K1 b - - 3 22",
    "3q2k1/pb3p1p/4pbp1/2r5/PpN2N2/1P2P2P/5PP1/Q2R2K1 b - - 4 26"
]


def benchmark(maxdepth=6):
    """ Times a search of a static list of positions. """

    suite_time = time()
    suite_nodes = lsearch.nodes
    lsearch.endtime = sys.maxsize
    lsearch.searching = True
    for i, fen in enumerate(benchmarkPositions):
        lsearch.table.clear()
        clearPawnTable()
        board = LBoard(NORMALCHESS)
        board.applyFen(fen)
        pos_start_time = time()
        pos_start_nodes = lsearch.nodes
        for depth in range(1, maxdepth):
            mvs, scr = lsearch.alphaBeta(board, depth)
            pos_time = time() - pos_start_time
            pos_nodes = lsearch.nodes - pos_start_nodes
            pv = " ".join(listToSan(board, mvs))
            time_cs = int(100 * pos_time)
            print(depth, scr, time_cs, pos_nodes, pv)
        print("Searched position", i, "at", int(pos_nodes / pos_time) if pos_time > 0 else pos_nodes, "n/s")
    suite_time = time() - suite_time
    suite_nodes = lsearch.nodes - suite_nodes
    print("Total:", suite_nodes, "nodes in", suite_time, "s: ", suite_nodes /
          suite_time, "n/s")
    lsearch.nodes = 0
