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fetcher.py
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import numpy as np
import pymysql, random, json
def connect_db(database):
try:
conn = pymysql.connect(host='localhost', port=3306, user='root', password='pkuoslab', db=database, charset='utf8')
return conn
except:
print ('Exception: MySQL Connection')
return None
def fetch_champion_dict(jsonfile):
with open(jsonfile) as jsonfile:
champion_dict = json.load(jsonfile)
return champion_dict
def fetch_both_sides_tgp(gamemode, champion_dict):
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
conn = connect_db('lol_prediction_tgp')
if conn == None: return (X_train, y_train, X_test, y_test)
cursor = conn.cursor()
try:
ifexists = cursor.execute("select * from game_"+gamemode)
if ifexists == 0:
cursor.close()
conn.close()
return (X_train, y_train, X_test, y_test)
else:
all_set = cursor.fetchall()
cursor.close()
conn.close()
except:
print ("Exception: Selecting")
return (X_train, y_train, X_test, y_test)
cnt = 0
for line in all_set:
X = np.zeros(len(champion_dict)*2)
y = line[3]
valid = True
for i in range(10):
curchampionindex = int(champion_dict[str(line[6*i+5])][0])
kill = line[6*i+6]
death = line[6*i+7]
assist = line[6*i+8]
dmg = line[6*i+9]
if dmg < 500 or (kill+assist)/(death+1) < 0.1:
valid = False
break
if i < 5:
X[curchampionindex] = 1
else :
X[curchampionindex+len(champion_dict)] = 1
if valid:
cnt += 1
if (cnt % 4 != 0) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch Both Sides '+str(cnt))
return (X_train, y_train, X_test, y_test)
def fetch_one_side_tgp(gamemode, champion_dict):
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
conn = connect_db('lol_prediction_tgp')
if conn == None: return (X_train, y_train, X_test, y_test)
cursor = conn.cursor()
try:
ifexists = cursor.execute("select * from game_"+gamemode)
if ifexists == 0:
cursor.close()
conn.close()
return (X_train, y_train, X_test, y_test)
else:
all_set = cursor.fetchall()
cursor.close()
conn.close()
except:
print ("Exception: Selecting")
return (X_train, y_train, X_test, y_test)
cnt = 0
for line in all_set:
X = np.zeros(len(champion_dict))
y = line[3]
valid = True
for i in range(0, 5):
curchampionindex = int(champion_dict[str(line[6*i+5])][0])
kill = line[6*i+6]
death = line[6*i+7]
assist = line[6*i+8]
dmg = line[6*i+9]
if dmg < 500 or (kill+assist)/(death+1) < 0.1:
valid = False
break
X[curchampionindex] = 1
if valid:
cnt += 1
if (cnt % 8 != 0 and cnt % 8 != 3) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
X = np.zeros(len(champion_dict))
y = 1-line[3]
valid = True
for i in range(5, 10):
curchampionindex = int(champion_dict[str(line[6*i+5])][0])
kill = line[6*i+6]
death = line[6*i+7]
assist = line[6*i+8]
dmg = line[6*i+9]
if dmg < 500 or (kill+assist)/(death+1) < 0.1:
valid = False
break
X[curchampionindex] = 1
if valid:
cnt += 1
if (cnt % 8 != 0 and cnt % 8 != 3) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch One Side '+str(cnt))
return (X_train, y_train, X_test, y_test)
def fetch_both_sides_riot(mapid, gametype, subtype, gamemode, createdate, champion_dict):
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
conn = connect_db('lol_prediction_riot')
if conn == None: return (X_train, y_train, X_test, y_test)
cursor = conn.cursor()
try:
ifexists = cursor.execute("select bluesidewin, bluesidechampion, redsidechampion from game_riot where mapid="+mapid+" and gametype='"+gametype+"' and subtype='"+subtype+"' and gamemode='"+gamemode+"' and createdate>="+createdate[0]+" and createdate<="+createdate[1])
if ifexists == 0:
cursor.close()
conn.close()
return (X_train, y_train, X_test, y_test)
else:
all_set = cursor.fetchall()
cursor.close()
conn.close()
except:
print ("Exception: Selecting")
return (X_train, y_train, X_test, y_test)
cnt = 0
for line in all_set:
X = np.zeros(len(champion_dict)*2)
y = line[0]
for championidstr in line[1].split(';'):
championid = int(champion_dict[championidstr][0])
X[championid] = 1
for championidstr in line[2].split(';'):
championid = int(champion_dict[championidstr][0])
X[championid+len(champion_dict)] = 1
cnt += 1
if (cnt % 4 != 0) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch Both Sides '+str(cnt))
return (X_train, y_train, X_test, y_test)
def fetch_one_side_riot(mapid, gametype, subtype, gamemode, createdate, champion_dict):
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
conn = connect_db('lol_prediction_riot')
if conn == None: return (X_train, y_train, X_test, y_test)
cursor = conn.cursor()
try:
ifexists = cursor.execute("select bluesidewin, bluesidechampion, redsidechampion from game_riot where mapid="+mapid+" and gametype='"+gametype+"' and subtype='"+subtype+"' and gamemode='"+gamemode+"' and createdate>="+createdate[0]+" and createdate<="+createdate[1])
if ifexists == 0:
cursor.close()
conn.close()
return (X_train, y_train, X_test, y_test)
else:
all_set = cursor.fetchall()
cursor.close()
conn.close()
except:
print ("Exception: Selecting")
return (X_train, y_train, X_test, y_test)
cnt = 0
for line in all_set:
X = np.zeros(len(champion_dict))
y = line[0]
for championidstr in line[1].split(';'):
championid = int(champion_dict[championidstr][0])
X[championid] = 1
cnt += 1
if (cnt % 8 != 0 and cnt % 8 != 3):
X_train_lst.append(X)
y_train_lst.append(y)
else:
X_test_lst.append(X)
y_test_lst.append(y)
X = np.zeros(len(champion_dict))
for championidstr in line[2].split(';'):
championid = int(champion_dict[championidstr][0])
X[championid] = 1
cnt += 1
if (cnt % 8 != 0 and cnt % 8 != 3):
X_train_lst.append(X)
y_train_lst.append(1-y)
else:
X_test_lst.append(X)
y_test_lst.append(1-y)
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch One Side '+str(cnt))
return (X_train, y_train, X_test, y_test)
def read_file_both_sides(data_set, champion_match, champion_num):
fin = open (champion_match, "r")
dict = {}
#stat = {}
for line in fin:
championindex = int(line.split(' ')[0])
championid = int(line.split(' ')[1])
dict[championid] = championindex
# stat[championid] = {'k':0, 'd':0, 'a':0, 'appear':0, 'win':0, 'dmg':0}
fin.close()
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
fin = open (data_set, "r")
cnt = 0
for line in fin:
type = int(line.split(' ')[0])
X = np.zeros(champion_num*2)
y = int(line.split(' ')[71])
valid = True
for i in range(10):
curchampionindex = dict[int(line.split(' ')[7*i+3])]
kill = int(line.split(' ')[7*i+4])
death = int(line.split(' ')[7*i+5])
assist = int(line.split(' ')[7*i+6])
dmg = int(line.split(' ')[7*i+7])
if dmg < 1000 or (kill+assist)/(death+1) < 0.1:
valid = False
break
if i < 5:
X[curchampionindex] = 1
else :
X[curchampionindex+champion_num] = 1
if valid:
cnt += 1
if (type < 45) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
fin.close()
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch Both Sides '+str(cnt))
return (X_train, y_train, X_test, y_test)
def read_file_one_side(data_set, champion_match, champion_num):
fin = open (champion_match, "r")
dict = {}
#stat = {}
for line in fin:
championindex = int(line.split(' ')[0])
championid = int(line.split(' ')[1])
dict[championid] = championindex
# stat[championid] = {'k':0, 'd':0, 'a':0, 'appear':0, 'win':0, 'dmg':0}
fin.close()
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
fin = open (data_set, "r")
cnt = 0
for line in fin:
type = int(line.split(' ')[0])
X = np.zeros(champion_num)
y = int(line.split(' ')[71])
for i in range(5):
curchampionindex = dict[int(line.split(' ')[7*i+3])]
X[curchampionindex] = 1
if (type < 45) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
X = np.zeros(champion_num)
y = 1-y
for i in range(5, 10):
curchampionindex = dict[int(line.split(' ')[7*i+3])]
X[curchampionindex] = 1
if (type < 45) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
cnt += 2
fin.close()
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch One Side '+str(cnt))
return (X_train, y_train, X_test, y_test)
def read_file_both_sides_old(data_set, champion_match, champion_num):
fin = open (champion_match, "r")
dict = {}
#stat = {}
for line in fin:
championindex = int(line.split(' ')[0])
championid = int(line.split(' ')[1])
dict[championid] = championindex
# stat[championid] = {'k':0, 'd':0, 'a':0, 'appear':0, 'win':0, 'dmg':0}
fin.close()
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
fin = open (data_set, "r")
cnt = 0
for line in fin:
type = int(line.split(' ')[1])
X = np.zeros(champion_num*2)
y = int(line.split(' ')[32])
valid = True
for i in range(10):
curchampionindex = dict[int(line.split(' ')[3*i+4])]
if i < 5:
X[curchampionindex] = 1
else :
X[curchampionindex+champion_num] = 1
if valid:
cnt += 1
if (type < 45) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
fin.close()
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch Both Sides '+str(cnt))
return (X_train, y_train, X_test, y_test)
def read_file_one_side_old(data_set, champion_match, champion_num):
fin = open (champion_match, "r")
dict = {}
#stat = {}
for line in fin:
championindex = int(line.split(' ')[0])
championid = int(line.split(' ')[1])
dict[championid] = championindex
# stat[championid] = {'k':0, 'd':0, 'a':0, 'appear':0, 'win':0, 'dmg':0}
fin.close()
X_train_lst = []
y_train_lst = []
X_test_lst = []
y_test_lst = []
fin = open (data_set, "r")
cnt = 0
for line in fin:
type = int(line.split(' ')[1])
X = np.zeros(champion_num)
y = int(line.split(' ')[32])
for i in range(5):
curchampionindex = dict[int(line.split(' ')[3*i+4])]
X[curchampionindex] = 1
if (type < 45) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
X = np.zeros(champion_num)
y = 1-y
for i in range(5, 10):
curchampionindex = dict[int(line.split(' ')[3*i+4])]
X[curchampionindex] = 1
if (type < 45) :
X_train_lst.append(X)
y_train_lst.append(y)
else :
X_test_lst.append(X)
y_test_lst.append(y)
cnt += 2
fin.close()
X_train = np.array(X_train_lst)
y_train = np.array(y_train_lst)
X_test = np.array(X_test_lst)
y_test = np.array(y_test_lst)
print ('Success: Fetch One Side '+str(cnt))
return (X_train, y_train, X_test, y_test)