dota2ApiLoader.py

#! /usr/bin/python

import dota2api
from dota2api.src.exceptions import APIError, APITimeoutError
import csv
from multiprocessing import Pool
import time
import sys

def getMatchInfo( api, matchId ):
    for retries in range(3):
        try:
            match = api.get_match_details(match_id=matchId)
            break
        except APIError as e:
            print e.msg
            raise APIError('Getting match ' + str(matchId) + ' Failed')
        except Exception as e:
            print sys.exc_info()
            if retries == 2:
                raise APIError('Getting match ' + str(matchId) + ' Failed')
            else:
                time.sleep(120)
    
    if match['human_players'] != 10 or len(match['players']) != 10:
        raise APIError('Bad number of players')
    if 'radiant_win' not in match.viewkeys():
        raise APIError('Match not completed')
    matchRow = [0]*15
    matchRow[0] = matchId
    if match['radiant_win']: # eg True
        matchRow[1] = 1
    else:
        matchRow[1] = -1
    matchRow[2] = match['cluster'] # eg 227 -> translates to Europe West?
    matchRow[3] = match['game_mode_name'] # eg Captains Mode
    matchRow[4] = match['lobby_name'] # eg Ranked
    for i in range(10):
        matchRow[5 + i] = match['players'][i]['hero_id'] # eg 5

    return matchRow

def serialLoop( api, matchId, stopNum, writer ):
    while stopNum > 0:
        try:
            matchInfo = getMatchInfo( api, matchId )
            writer.writerow(matchInfo)
            stopNum -= 1
            print "Got " + str(matchId) + ", Need " + str(stopNum) + " more"
        except APIError as e:
            print e.msg
        finally:
            matchId -= 1

def getMatchStar( args ):
    try:
        match = getMatchInfo( args[0], args[1] )
        print "Match " + str(args[1]) + " successful"
        return match
    except APIError as e:
        print e.msg
    return []
        
def parallelLoop( api, matchId, stopNum, writer ):
    p = Pool(4)

    matchList = ( [ (api, matchId - x ) for x in range(2*stopNum) ] )
    for x in p.map(getMatchStar, matchList):
        if len(x) != 0:
            writer.writerow( x )
    p.terminate()

if __name__=="__main__":
    api = dota2api.Initialise()
    matchId = 2561608200
    ### matchSeqNum = 2242825642
    stopNum = 100000
    outFile = open('dotaMatch.out', 'a')
    writer = csv.writer(outFile)

    serialLoop( api, matchId, stopNum, writer )
    #parallelLoop( api, matchId, stopNum, writer )
    
    outFile.close()

The output here is not equal your script. There are more than 100 columns. Is this correct?

I have an assignment in Artificial Intelligence subject, and the doctor asked us to go to archive.ics.uci.edu to find a dataset and apply our algorithm to it .

looking at your dataset with the game Dota2, I'm familiar with this type of games as I was Leauge of Legends player, but there is one thing i didn't understand from the dataset which is:

1. what do you mean by Cluster ID

2. what are the possible outputs I can extract from the dataset using different machine algorithms (K-Nearest Neighbor - Decision Tree - Logistic Regression)

I'm looking forward hearing from you,

where do you download the dota2api lib?

Do you have the original data for this still?

The output here is not equal your script. There are more than 100 columns. Is this correct?

can you expalin me how you did this