tools.py

"""Main interface for Irwin"""
from default_imports import *

from conf.ConfigWrapper import ConfigWrapper

import argparse
import sys
import logging
import json

from utils.updatePlayerDatabase import updatePlayerDatabase
from utils.buildAnalysedPositionTable import buildAnalysedPositionTable
from utils.buildAverageReport import buildAverageReport

from Env import Env

config = ConfigWrapper.new('conf/server_config.json')

parser = argparse.ArgumentParser(description=__doc__)
## Training
parser.add_argument("--trainbasic", dest="trainbasic", nargs="?",
                default=False, const=True, help="train basic game model")
parser.add_argument("--trainanalysed", dest="trainanalysed", nargs="?",
                default=False, const=True, help="train analysed game model")
parser.add_argument("--filtered", dest="filtered", nargs="?",
                default=False, const=True , help="use filtered dataset for training")
parser.add_argument("--newmodel", dest="newmodel", nargs="?",
                default=False, const=True, help="throw out current model. build new")

## Database building
parser.add_argument("--buildbasictable", dest="buildbasictable", nargs="?",
                default=False, const=True,
                    help="build table of basic game activations")
parser.add_argument("--buildanalysedtable", dest="buildanalysedtable", nargs="?",
                default=False, const=True,
                    help="build table of analysed game activations")
parser.add_argument("--buildpositiontable", dest="buildpositiontable", nargs="?",
                default=False, const=True,
                    help="build table of analysed positions")
parser.add_argument("--updatedatabase", dest="updatedatabase", nargs="?",
                default=False, const=True,
                    help="collect game analyses for players. Build database collection")
parser.add_argument("--buildaveragereport", dest="buildaveragereport", nargs="?",
                default=False, const=True,
                    help="build an average report for all players in the database")

## Evaluation and testing
parser.add_argument("--eval", dest="eval", nargs="?",
                default=False, const=True,
                    help="evaluate the performance of neural networks")
parser.add_argument("--test", dest="test", nargs="?",
                default=False, const=True, help="test on a single player")
parser.add_argument("--discover", dest="discover", nargs="?",
                default=False, const=True,
                    help="search for cheaters in the database that haven't been marked")

parser.add_argument("--quiet", dest="loglevel",
                default=logging.DEBUG, action="store_const", const=logging.INFO,
                    help="reduce the number of logged messages")
args = parser.parse_args()

logging.basicConfig(format="%(message)s", level=args.loglevel, stream=sys.stdout)
logging.getLogger("requests.packages.urllib3").setLevel(logging.WARNING)
logging.getLogger("chess.uci").setLevel(logging.WARNING)
logging.getLogger("modules.fishnet.fishnet").setLevel(logging.INFO)

logging.debug(args.newmodel)
env = Env(config, newmodel=args.newmodel)

if args.updatedatabase:
    updatePlayerDatabase()

# train on a single batch
if args.trainbasic:
    env.irwin.training.basicModelTraining.train(
        config['irwin model basic training epochs'],
        args.filtered)

if args.buildbasictable:
    env.irwin.training.basicModelTraining.buildTable()

if args.buildanalysedtable:
    env.irwin.training.analysedModelTraining.buildTable()

if args.buildpositiontable:
    buildAnalysedPositionTable(env)

if args.trainanalysed:
    env.irwin.training.analysedModelTraining.train(
        config['irwin model analysed training epochs'],
        args.filtered)

# test on a single user in the DB
if args.test:
    for userId in ['ralph27_velasco']:
        player = env.playerDB.byPlayerId(userId)
        gameStore = GameStore.new()
        gameStore.addGames(env.gameDB.byPlayerIdAndAnalysed(userId))
        gameStore.addAnalysedGames(env.analysedGameDB.byPlayerId(userId))
        env.api.postReport(env.irwin.report(player, gameStore))
        logging.debug("posted")

# how good is the network?
if args.eval:
    env.irwin.evaluation.evaluate()

if args.discover:
    env.irwin.discover()

if args.buildaveragereport:
    buildAverageReport(env)