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Final Project
Commit 6a3537ea authored by ben.eastwood's avatar ben.eastwood
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README.md 0 → 100644
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B# Final-Project B# Final-Project
ai.py 0 → 100644
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# Built using https://towardsdatascience.com/naive-bayes-classifier-how-to-successfully-use-it-in-python-ecf76a995069
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
from sklearn.preprocessing import OrdinalEncoder
from sklearn.naive_bayes import CategoricalNB
import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
import plotly.express as px
import plotly.graph_objects as go
def mfunc(X, y, typ):
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)
model = typ
clf = model.fit(X_train, y_train)
pred_labels = model.predict(X_test)
print('Classes: ', clf.classes_)
if str(typ) == 'GaussianNB()':
print('Class Priors: ', clf.class_prior_)
else:
print('Class Log Priors: ', clf.class_log_prior_)
print('--------------------------------------------------------')
score = model.score(X_test, y_test)
print('Accuracy Score: ', score)
print('--------------------------------------------------------')
print(classification_report(y_test, pred_labels))
return X_train, X_test, y_train, y_test, clf, pred_labels
df = pd.read_csv('data.csv')
df.info()
# 'Map' 'Winner' 'Team1StartingSide' 'Team2StartingSide' 'AverageACSTeam1' 'AverageACSTeam2' 'AverageKillsTeam1' 'AverageKillsTeam2' 'TotalFKTeam1' 'TotalFKTeam2'
# 'TotalFDTeam1' 'TotalFDTeam2' 'TotalKillsTeam1' 'TotalKillsTeam2' 'TotalDeathsTeam1' 'TotalDeathsTeam2' 'TotalFKFDTeam1' 'TotalFKFDTeam2' 'EntryFKFDTeam1' 'EntryFKFDTeam2'
# 'HsPercentageTeam1' 'HsPercentageTeam2'
X = df[['Map', 'Team1StartingSide']]
y = df['Winner'].values
# Encode categorical variables
enc = OrdinalEncoder()
X = enc.fit_transform(X)
frames = [df]
data = pd.concat(frames, axis=1)
#print(df.groupby(['Map', 'Team1StartingSide']).count())
#sns.scatterplot(x="HsPercentageTeam1", y="HsPercentageTeam2", hue='Winner', data=data, palette="tab10")
#sns.displot(x='Team1StartingSide', hue='Winner', col='Map', row='Winner', data=data, rug=True, palette="tab10")
plt.show()
X_train, X_test, y_train, y_test, clf, pred_labels = mfunc(X, y, CategoricalNB())
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csvParse.py 0 → 100644
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import csv
def ClearCsv():
f = open('data.csv', 'w+')
f.close()
def ParseCsv():
file = open('match.csv', 'r')
data = list(csv.reader(file))
file.close()
header = ['Map', 'Winner',
'Team1StartingSide', 'Team2StartingSide',
'AverageACSTeam1', 'AverageACSTeam2',
'AverageKillsTeam1', 'AverageKillsTeam2',
'TotalFKTeam1', 'TotalFKTeam2',
'TotalFDTeam1', 'TotalFDTeam2',
'TotalKillsTeam1', 'TotalKillsTeam2',
'TotalDeathsTeam1', 'TotalDeathsTeam2',
'TotalFKFDTeam1', 'TotalFKFDTeam2',
'EntryFKFDTeam1', 'EntryFKFDTeam2',
'HsPercentageTeam1', 'HsPercentageTeam2']
with open('data.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(header)
i=0
while i<len(data):
x=data[i]
if(x[0] == '-'):
map = data[i+1][0]
if(map != '/'):
i += 1
team1score = data[i][2]
team2score = data[i][4]
if(int(team1score) > int(team2score)):
winner = 1
elif(int(team1score) < int(team2score)):
winner = -1
else:
winner = 0
team1side = data[i][5]
team2side = data[i][6]
team1acs = []
team1fk = []
team1fd = []
team1kills = []
team1deaths = []
team1fkfd = []
team1entryfkfd = []
team1headshotpercentage = []
team2acs = []
team2fk = []
team2fd = []
team2kills = []
team2deaths = []
team2fkfd = []
team2entryfkfd = []
team2headshotpercentage = []
y=0
while(y != 5):
try:
i += 1
team1acs.append(data[i][4])
team1fk.append(data[i][12])
team1fd.append(data[i][13])
team1kills.append(data[i][5])
team1deaths.append(data[i][6])
team1fkfd.append(data[i][14])
team1headshotpercentage.append(data[i][11])
if(data[i][2] == 'jett' or 'neon' or 'raze'):
team1entryfkfd.append(data[i][14])
y += 1
except:
y += 1
while(y != 10):
i += 1
team2acs.append(data[i][4])
team2fk.append(data[i][12])
team2fd.append(data[i][13])
team2kills.append(data[i][5])
team2deaths.append(data[i][6])
team2fkfd.append(data[i][14])
team2headshotpercentage.append(data[i][11])
if(data[i][2] == 'jett' or 'neon' or 'raze'):
team2entryfkfd.append(data[i][14])
y += 1
team1AverageAcs, team1AverageKills, team1TotalFk, team1TotalFd, team1TotalKills, team1TotalDeaths, team1TotalFkFd, team1AverageHS = 0, 0, 0, 0, 0, 0, 0, 0
team2AverageAcs, team2AverageKills, team2TotalFk, team2TotalFd, team2TotalKills, team2TotalDeaths, team2TotalFkFd, team2AverageHS = 0, 0, 0, 0, 0, 0, 0, 0
team1AverageEntryFkFd, team2AverageEntryFkFd, iteration1, iteration2 = 0, 0, 0, 0
for duelist in team1entryfkfd:
try:
team1AverageEntryFkFd += int(duelist)
iteration1 += 1
except:
team1AverageEntryFkFd = 0
for duelist in team2entryfkfd:
try:
team2AverageEntryFkFd += int(duelist)
iteration2 += 1
except:
team2AverageEntryFkFd = 0
try:
team1AverageEntryFkFd = team1AverageEntryFkFd/iteration1
team2AverageEntryFkFd = team2AverageEntryFkFd/iteration2
except:
print("0 duelist comp")
try:
y=0
while(y != 5):
team1AverageAcs += int(team1acs[y])
team1AverageKills += int(team1kills[y])
team1AverageHS += int(team1headshotpercentage[y])
team1TotalFk += int(team1fk[y])
team1TotalFd += int(team1fd[y])
team1TotalKills += int(team1kills[y])
team1TotalDeaths += int(team1deaths[y])
team1TotalFkFd += int(team1fkfd[y])
team2AverageAcs += int(team2acs[y])
team2AverageKills += int(team2kills[y])
team2AverageHS += int(team2headshotpercentage[y])
team2TotalFk += int(team2fk[y])
team2TotalFd += int(team2fd[y])
team2TotalKills += int(team2kills[y])
team2TotalDeaths += int(team2deaths[y])
team2TotalFkFd += int(team2fkfd[y])
y += 1
team1AverageAcs = team1AverageAcs/5
team2AverageAcs = team2AverageAcs/5
team1AverageKills = team1AverageKills/5
team2AverageKills = team2AverageKills/5
team1AverageHS = team1AverageHS/5
team2AverageHS = team2AverageHS/5
row = [map, winner, team1side, team2side, team1AverageAcs, team2AverageAcs, team1AverageKills, team2AverageKills, team1TotalFk, team2TotalFk,
team1TotalFd, team2TotalFd, team1TotalKills, team2TotalKills, team1TotalDeaths, team2TotalDeaths, team1TotalFkFd, team2TotalFkFd, team1AverageEntryFkFd, team2AverageEntryFkFd,
team1AverageHS, team2AverageHS]
with open('data.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(row)
except:
pass
else:
i += 1
else:
i += 1
ClearCsv()
ParseCsv()
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data.csv 0 → 100644
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eventUrl.csv 0 → 100644
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https://www.vlr.gg/event/1015
https://www.vlr.gg/event/1111
https://www.vlr.gg/event/1130
https://www.vlr.gg/event/1117
https://www.vlr.gg/event/1083
https://www.vlr.gg/event/1084
https://www.vlr.gg/event/1014
https://www.vlr.gg/event/1113
https://www.vlr.gg/event/1085
https://www.vlr.gg/event/1086
https://www.vlr.gg/event/800
https://www.vlr.gg/event/911
https://www.vlr.gg/event/984
https://www.vlr.gg/event/1063
https://www.vlr.gg/event/1013
https://www.vlr.gg/event/998
https://www.vlr.gg/event/988
https://www.vlr.gg/event/983
https://www.vlr.gg/event/996
https://www.vlr.gg/event/1012
https://www.vlr.gg/event/882
https://www.vlr.gg/event/991
https://www.vlr.gg/event/972
https://www.vlr.gg/event/977
https://www.vlr.gg/event/965
https://www.vlr.gg/event/963
https://www.vlr.gg/event/960
https://www.vlr.gg/event/997
https://www.vlr.gg/event/926
https://www.vlr.gg/event/955
https://www.vlr.gg/event/885
https://www.vlr.gg/event/948
https://www.vlr.gg/event/829
https://www.vlr.gg/event/925
https://www.vlr.gg/event/799
https://www.vlr.gg/event/854
https://www.vlr.gg/event/853
https://www.vlr.gg/event/850
https://www.vlr.gg/event/884
https://www.vlr.gg/event/845
https://www.vlr.gg/event/852
https://www.vlr.gg/event/844
https://www.vlr.gg/event/842
https://www.vlr.gg/event/841
https://www.vlr.gg/event/840
https://www.vlr.gg/event/883
https://www.vlr.gg/event/851
https://www.vlr.gg/event/823
https://www.vlr.gg/event/858
https://www.vlr.gg/event/879
https://www.vlr.gg/event/830
https://www.vlr.gg/event/812
https://www.vlr.gg/event/796
https://www.vlr.gg/event/797
https://www.vlr.gg/event/795
https://www.vlr.gg/event/792
https://www.vlr.gg/event/793
https://www.vlr.gg/event/794
main.py 0 → 100644
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import csv
import matchStatsFunction as f
import urlGetFunction as u
import time
import csvParse as c
print("Operation Started")
startTime = time.time()
eventUrls = []
f.ClearCsv()
u.ClearUrls()
c.ClearCsv()
u.GetEvents('https://www.vlr.gg/vct-2022')
file = open('eventUrl.csv', 'r')
data = list(csv.reader(file))
file.close()
i=0
while i<len(data):
x = data[i]
z = x[0]
eventUrls.append(z)
i += 1
u.GetUrls(eventUrls)
file = open('urls.csv', 'r')
data = list(csv.reader(file))
file.close()
print("Match Stats Gathering Started")
i=0
while i<len(data):
x = data[i]
z = x[0]
f.GetMatchStats(z)
i += 1
print("Parsing Data")
c.ParseCsv()
endTime = time.time()
finalTime = endTime - startTime
finalTimeStr = str(finalTime)
print("Operation Successful")
print("Operation took " + finalTimeStr + " to complete.")
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match.csv 0 → 100644
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matchStatsFunction.py 0 → 100644
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import requests
from bs4 import BeautifulSoup
import re
import csv
def CleanString(string):
return re.sub(r'[^a-zA-Z0-9 -]', '', ' '.join(string.split()).strip())
def ClearCsv():
f = open('match.csv', 'w+')
f.close()
def GetMatchStats(url):
urlCodes = url.split('/')
matchCode = urlCodes[3]
keepGoing = 1
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
#Get BoX (eg. Bo3, Bo5)
boXDiv = soup.find('div', {'class': 'match-header-vs-note'})
boXDiv = boXDiv.findNext('div', {'class': 'match-header-vs-note'})
boXData = CleanString(boXDiv.text).split(" ")
boXText = boXData[0]
#Total Match Stats
#Get Map
mapText = 'All Maps'
#Get Team Names
teamNameDiv = soup.find('div', {'class': 'wf-title-med'})
teamNameData = CleanString(teamNameDiv.text)
team1NameText = teamNameData
teamNameDiv = teamNameDiv.findNext('div', {'class': 'wf-title-med'})
teamNameData = CleanString(teamNameDiv.text)
team2NameText = teamNameData
#Get Map Scores
teamScoreDiv = soup.find('div', {'class': 'js-spoiler'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team1ScoreText = teamScoreData[0]
team2ScoreText = teamScoreData[2]
teamScoreTotal = [mapText, team1NameText, team1ScoreText, team2NameText, team2ScoreText, matchCode, boXText]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(teamScoreTotal)
try:
#Overall Stats
table = soup.find('div', {'class': 'vm-stats-game'})
table = table.findNext('div', {'class': 'vm-stats-game'})
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
playerteam = CleanString(cells[0].text).split(" ")
player, team = playerteam[0], playerteam[1]
if(player == 'gob' and team == 'b'): # Fix for a player with a space in the name
player = 'gob-b'
team = playerteam[2]
agents = []
for img in row.find_all('img', alt=True):
agents.append(CleanString(img['alt']))
ratings = CleanString(cells[2].text).split(" ")
ratingOverall = ratings[0]
acs = CleanString(cells[3].text).split(" ")
acsOverall = acs[0]
kills = CleanString(cells[4].text).split(" ")
killsOverall = kills[0]
deaths = CleanString(cells[5].text).split(" ")
deathsOverall = deaths[1]
assists = CleanString(cells[6].text).split(" ")
assistsOverall = assists[0]
kdDifference = CleanString(cells[7].text).split(" ")
kdDifferenceOverall = kdDifference[0]
kast = CleanString(cells[8].text).split(" ")
kastOverall = kast[0]
adr = CleanString(cells[9].text).split(" ")
adrOverall= adr[0]
hs = CleanString(cells[10].text).split(" ")
hsOverall = hs[0]
fk = CleanString(cells[11].text).split(" ")
fkOverall = fk[0]
fd = CleanString(cells[12].text).split(" ")
fdOverall = fd[0]
fkDifference = CleanString(cells[13].text).split(" ")
fkDifferenceOverall = fkDifference[0]
data = [player, team, agents, ratingOverall, acsOverall, killsOverall, deathsOverall, assistsOverall, kdDifferenceOverall, kastOverall, adrOverall, hsOverall, fkOverall, fdOverall, fkDifferenceOverall]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(data)
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('-')
except:
#In case of forfeit get header to see which team won
headerDiv = soup.find('div', {'class': 'match-header-vs-note'})
headerData = CleanString(headerDiv.text)
headerText = headerData
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow([headerText])
keepGoing = 0
#Map 1 Stats
if(keepGoing):
try:
#Get Map
mapDiv = soup.find('div', {'class': 'map'})
mapData = CleanString(mapDiv.text).split(" ")
mapText = mapData[0]
#Get Map Score
teamScoreDiv = soup.find('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team1ScoreText = teamScoreData[0]
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team2ScoreText = teamScoreData[0]
# Get if Team1 is on Attack or Defence in first half
roundsDiv = soup.find('div', {'class': 'vlr-rounds'})
sideDiv = roundsDiv.find('div', {'class': 'vlr-rounds-row-col'})
sideDiv = sideDiv.findNext('div', {'class': 'vlr-rounds-row-col'})
team2 = False
for div in sideDiv:
if("rnd-sq mod-win mod-ct" in str(div)):
if(team2):
sideText = 'T'
else:
sideText = 'CT'
elif("rnd-sq mod-win mod-t" in str(div)):
if(team2):
sideText = 'CT'
else:
sideText = 'T'
elif("rnd-sq" in str(div)):
team2 = True
team1StartingSide = sideText
if(team1StartingSide == 'CT'):
team2StartingSide = 'T'
elif(team1StartingSide == 'T'):
team2StartingSide = 'CT'
else:
team2StartingSide = 'NA'
teamScoreMap = [mapText, team1NameText, team1ScoreText, team2NameText, team2ScoreText, team1StartingSide, team2StartingSide]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(teamScoreMap)
#Stats
table = soup.find('div', {'class': 'vm-stats-game'})
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
playerteam = CleanString(cells[0].text).split(" ")
player, team = playerteam[0], playerteam[1]
if(player == 'gob' and team == 'b'):
player = 'gob-b'
team = playerteam[2]
for img in row.find_all('img', alt=True):
agent = CleanString(img['alt'])
ratings = CleanString(cells[2].text).split(" ")
ratingOverall = ratings[0]
acs = CleanString(cells[3].text).split(" ")
acsOverall = acs[0]
kills = CleanString(cells[4].text).split(" ")
killsOverall = kills[0]
deaths = CleanString(cells[5].text).split(" ")
deathsOverall = deaths[1]
assists = CleanString(cells[6].text).split(" ")
assistsOverall = assists[0]
kdDifference = CleanString(cells[7].text).split(" ")
kdDifferenceOverall = kdDifference[0]
kast = CleanString(cells[8].text).split(" ")
kastOverall = kast[0]
adr = CleanString(cells[9].text).split(" ")
adrOverall = adr[0]
hs = CleanString(cells[10].text).split(" ")
hsOverall = hs[0]
fk = CleanString(cells[11].text).split(" ")
fkOverall = fk[0]
fd = CleanString(cells[12].text).split(" ")
fdOverall = fd[0]
fkDifference = CleanString(cells[13].text).split(" ")
fkDifferenceOverall = fkDifference[0]
data = [player, team, agent, ratingOverall, acsOverall, killsOverall, deathsOverall, assistsOverall, kdDifferenceOverall, kastOverall, adrOverall, hsOverall, fkOverall, fdOverall, fkDifferenceOverall]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(data)
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('-')
except:
keepGoing = 0
#Map 2 Stats
if(keepGoing):
try:
#Get Map
mapDiv = mapDiv.findNext('div', {'class': 'map'})
mapData = CleanString(mapDiv.text).split(" ")
mapText = mapData[0]
#Get Map Score
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team1ScoreText = teamScoreData[0]
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team2ScoreText = teamScoreData[0]
# Get if Team1 is on Attack or Defence in first half
roundsDiv = roundsDiv.findNext('div', {'class': 'vlr-rounds'})
sideDiv = roundsDiv.find('div', {'class': 'vlr-rounds-row-col'})
sideDiv = sideDiv.findNext('div', {'class': 'vlr-rounds-row-col'})
team2 = False
for div in sideDiv:
if("rnd-sq mod-win mod-ct" in str(div)):
if(team2):
sideText = 'T'
else:
sideText = 'CT'
elif("rnd-sq mod-win mod-t" in str(div)):
if(team2):
sideText = 'CT'
else:
sideText = 'T'
elif("rnd-sq" in str(div)):
team2 = True
team1StartingSide = sideText
if(team1StartingSide == 'CT'):
team2StartingSide = 'T'
elif(team1StartingSide == 'T'):
team2StartingSide = 'CT'
else:
team2StartingSide = 'NA'
teamScoreMap = [mapText, team1NameText, team1ScoreText, team2NameText, team2ScoreText, team1StartingSide, team2StartingSide]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(teamScoreMap)
#Stats
table = table.findNext('div', {'class': 'vm-stats-game'})
table = table.findNext('div', {'class': 'vm-stats-game'})
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
playerteam = CleanString(cells[0].text).split(" ")
player, team = playerteam[0], playerteam[1]
if(player == 'gob' and team == 'b'):
player = 'gob-b'
team = playerteam[2]
for img in row.find_all('img', alt=True):
agent = CleanString(img['alt'])
ratings = CleanString(cells[2].text).split(" ")
ratingOverall = ratings[0]
acs = CleanString(cells[3].text).split(" ")
acsOverall = acs[0]
kills = CleanString(cells[4].text).split(" ")
killsOverall = kills[0]
deaths = CleanString(cells[5].text).split(" ")
deathsOverall = deaths[1]
assists = CleanString(cells[6].text).split(" ")
assistsOverall = assists[0]
kdDifference = CleanString(cells[7].text).split(" ")
kdDifferenceOverall = kdDifference[0]
kast = CleanString(cells[8].text).split(" ")
kastOverall = kast[0]
adr = CleanString(cells[9].text).split(" ")
adrOverall = adr[0]
hs = CleanString(cells[10].text).split(" ")
hsOverall = hs[0]
fk = CleanString(cells[11].text).split(" ")
fkOverall = fk[0]
fd = CleanString(cells[12].text).split(" ")
fdOverall = fd[0]
fkDifference = CleanString(cells[13].text).split(" ")
fkDifferenceOverall = fkDifference[0]
data = [player, team, agent, ratingOverall, acsOverall, killsOverall, deathsOverall, assistsOverall, kdDifferenceOverall, kastOverall, adrOverall, hsOverall, fkOverall, fdOverall, fkDifferenceOverall]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(data)
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('-')
except:
keepGoing = 0
#Map 3 Stats
if(keepGoing):
try:
#Get Map
mapDiv = mapDiv.findNext('div', {'class': 'map'})
mapData = CleanString(mapDiv.text).split(" ")
mapText = mapData[0]
#Get Map Score
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team1ScoreText = teamScoreData[0]
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team2ScoreText = teamScoreData[0]
# Get if Team1 is on Attack or Defence in first half
roundsDiv = roundsDiv.findNext('div', {'class': 'vlr-rounds'})
sideDiv = roundsDiv.find('div', {'class': 'vlr-rounds-row-col'})
sideDiv = sideDiv.findNext('div', {'class': 'vlr-rounds-row-col'})
team2 = False
for div in sideDiv:
if("rnd-sq mod-win mod-ct" in str(div)):
if(team2):
sideText = 'T'
else:
sideText = 'CT'
elif("rnd-sq mod-win mod-t" in str(div)):
if(team2):
sideText = 'CT'
else:
sideText = 'T'
elif("rnd-sq" in str(div)):
team2 = True
team1StartingSide = sideText
if(team1StartingSide == 'CT'):
team2StartingSide = 'T'
elif(team1StartingSide == 'T'):
team2StartingSide = 'CT'
else:
team2StartingSide = 'NA'
teamScoreMap = [mapText, team1NameText, team1ScoreText, team2NameText, team2ScoreText, team1StartingSide, team2StartingSide]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(teamScoreMap)
#Stats
table = table.findNext('div', {'class': 'vm-stats-game'})
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
playerteam = CleanString(cells[0].text).split(" ")
player, team = playerteam[0], playerteam[1]
if(player == 'gob' and team == 'b'):
player = 'gob-b'
team = playerteam[2]
for img in row.find_all('img', alt=True):
agent = CleanString(img['alt'])
ratings = CleanString(cells[2].text).split(" ")
ratingOverall = ratings[0]
acs = CleanString(cells[3].text).split(" ")
acsOverall = acs[0]
kills = CleanString(cells[4].text).split(" ")
killsOverall = kills[0]
deaths = CleanString(cells[5].text).split(" ")
deathsOverall = deaths[1]
assists = CleanString(cells[6].text).split(" ")
assistsOverall = assists[0]
kdDifference = CleanString(cells[7].text).split(" ")
kdDifferenceOverall = kdDifference[0]
kast = CleanString(cells[8].text).split(" ")
kastOverall = kast[0]
adr = CleanString(cells[9].text).split(" ")
adrOverall = adr[0]
hs = CleanString(cells[10].text).split(" ")
hsOverall = hs[0]
fk = CleanString(cells[11].text).split(" ")
fkOverall = fk[0]
fd = CleanString(cells[12].text).split(" ")
fdOverall = fd[0]
fkDifference = CleanString(cells[13].text).split(" ")
fkDifferenceOverall = fkDifference[0]
data = [player, team, agent, ratingOverall, acsOverall, killsOverall, deathsOverall, assistsOverall, kdDifferenceOverall, kastOverall, adrOverall, hsOverall, fkOverall, fdOverall, fkDifferenceOverall]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(data)
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('-')
except:
keepGoing = 0
#Map 4 Stats
if(keepGoing):
try:
#Get Map
mapDiv = mapDiv.findNext('div', {'class': 'map'})
mapData = CleanString(mapDiv.text).split(" ")
mapText = mapData[0]
#Get Map Score
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team1ScoreText = teamScoreData[0]
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team2ScoreText = teamScoreData[0]
# Get if Team1 is on Attack or Defence in first half
roundsDiv = roundsDiv.findNext('div', {'class': 'vlr-rounds'})
sideDiv = roundsDiv.find('div', {'class': 'vlr-rounds-row-col'})
sideDiv = sideDiv.findNext('div', {'class': 'vlr-rounds-row-col'})
team2 = False
for div in sideDiv:
if("rnd-sq mod-win mod-ct" in str(div)):
if(team2):
sideText = 'T'
else:
sideText = 'CT'
elif("rnd-sq mod-win mod-t" in str(div)):
if(team2):
sideText = 'CT'
else:
sideText = 'T'
elif("rnd-sq" in str(div)):
team2 = True
team1StartingSide = sideText
if(team1StartingSide == 'CT'):
team2StartingSide = 'T'
elif(team1StartingSide == 'T'):
team2StartingSide = 'CT'
else:
team2StartingSide = 'NA'
teamScoreMap = [mapText, team1NameText, team1ScoreText, team2NameText, team2ScoreText, team1StartingSide, team2StartingSide]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(teamScoreMap)
#Stats
table = table.findNext('div', {'class': 'vm-stats-game'})
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
playerteam = CleanString(cells[0].text).split(" ")
player, team = playerteam[0], playerteam[1]
if(player == 'gob' and team == 'b'):
player = 'gob-b'
team = playerteam[2]
for img in row.find_all('img', alt=True):
agent = CleanString(img['alt'])
ratings = CleanString(cells[2].text).split(" ")
ratingOverall = ratings[0]
acs = CleanString(cells[3].text).split(" ")
acsOverall = acs[0]
kills = CleanString(cells[4].text).split(" ")
killsOverall = kills[0]
deaths = CleanString(cells[5].text).split(" ")
deathsOverall = deaths[1]
assists = CleanString(cells[6].text).split(" ")
assistsOverall = assists[0]
kdDifference = CleanString(cells[7].text).split(" ")
kdDifferenceOverall = kdDifference[0]
kast = CleanString(cells[8].text).split(" ")
kastOverall = kast[0]
adr = CleanString(cells[9].text).split(" ")
adrOverall = adr[0]
hs = CleanString(cells[10].text).split(" ")
hsOverall = hs[0]
fk = CleanString(cells[11].text).split(" ")
fkOverall = fk[0]
fd = CleanString(cells[12].text).split(" ")
fdOverall = fd[0]
fkDifference = CleanString(cells[13].text).split(" ")
fkDifferenceOverall = fkDifference[0]
data = [player, team, agent, ratingOverall, acsOverall, killsOverall, deathsOverall, assistsOverall, kdDifferenceOverall, kastOverall, adrOverall, hsOverall, fkOverall, fdOverall, fkDifferenceOverall]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(data)
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('-')
except:
keepGoing = 0
#Map 5 Stats
if(keepGoing):
try:
#Get Map
mapDiv = mapDiv.findNext('div', {'class': 'map'})
mapData = CleanString(mapDiv.text).split(" ")
mapText = mapData[0]
#Get Map Score
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team1ScoreText = teamScoreData[0]
teamScoreDiv = teamScoreDiv.findNext('div', {'class': 'score'})
teamScoreData = CleanString(teamScoreDiv.text).split(" ")
team2ScoreText = teamScoreData[0]
# Get if Team1 is on Attack or Defence in first half
roundsDiv = roundsDiv.findNext('div', {'class': 'vlr-rounds'})
sideDiv = roundsDiv.find('div', {'class': 'vlr-rounds-row-col'})
sideDiv = sideDiv.findNext('div', {'class': 'vlr-rounds-row-col'})
team2 = False
for div in sideDiv:
if("rnd-sq mod-win mod-ct" in str(div)):
if(team2):
sideText = 'T'
else:
sideText = 'CT'
elif("rnd-sq mod-win mod-t" in str(div)):
if(team2):
sideText = 'CT'
else:
sideText = 'T'
elif("rnd-sq" in str(div)):
team2 = True
team1StartingSide = sideText
if(team1StartingSide == 'CT'):
team2StartingSide = 'T'
elif(team1StartingSide == 'T'):
team2StartingSide = 'CT'
else:
team2StartingSide = 'NA'
teamScoreMap = [mapText, team1NameText, team1ScoreText, team2NameText, team2ScoreText, team1StartingSide, team2StartingSide]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(teamScoreMap)
#Stats
table = table.findNext('div', {'class': 'vm-stats-game'})
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
playerteam = CleanString(cells[0].text).split(" ")
player, team = playerteam[0], playerteam[1]
if(player == 'gob' and team == 'b'):
player = 'gob-b'
team = playerteam[2]
for img in row.find_all('img', alt=True):
agent = CleanString(img['alt'])
ratings = CleanString(cells[2].text).split(" ")
ratingOverall = ratings[0]
acs = CleanString(cells[3].text).split(" ")
acsOverall = acs[0]
kills = CleanString(cells[4].text).split(" ")
killsOverall = kills[0]
deaths = CleanString(cells[5].text).split(" ")
deathsOverall = deaths[1]
assists = CleanString(cells[6].text).split(" ")
assistsOverall = assists[0]
kdDifference = CleanString(cells[7].text).split(" ")
kdDifferenceOverall = kdDifference[0]
kast = CleanString(cells[8].text).split(" ")
kastOverall = kast[0]
adr = CleanString(cells[9].text).split(" ")
adrOverall = adr[0]
hs = CleanString(cells[10].text).split(" ")
hsOverall = hs[0]
fk = CleanString(cells[11].text).split(" ")
fkOverall = fk[0]
fd = CleanString(cells[12].text).split(" ")
fdOverall = fd[0]
fkDifference = CleanString(cells[13].text).split(" ")
fkDifferenceOverall = fkDifference[0]
data = [player, team, agent, ratingOverall, acsOverall, killsOverall, deathsOverall, assistsOverall, kdDifferenceOverall, kastOverall, adrOverall, hsOverall, fkOverall, fdOverall, fkDifferenceOverall]
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow(data)
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('-')
except:
keepGoing = 0
with open('match.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow('/')
\ No newline at end of file
urlGetFunction.py 0 → 100644
View file @ 6a3537ea
import requests
from bs4 import BeautifulSoup
import re
import csv
def ClearUrls():
f = open('urls.csv', 'w+')
f.close()
f = open('eventUrl.csv', 'w+')
f.close()
def GetUrls(urlToScrapeList):
for url in urlToScrapeList:
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
gameCodeList = []
#Get Urls on Page
for a in soup.find_all('a', href=True):
parsedLink = a['href'].split('/')
try:
if(parsedLink[1].isdigit()):
gameCodeList.append(parsedLink[1])
except:
pass
i = 0
while i<len(gameCodeList):
tempString = 'https://www.vlr.gg/'
tempString += gameCodeList[i]
with open('urls.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow([tempString])
i += 1
def GetEvents(eventUrl):
response = requests.get(eventUrl)
soup = BeautifulSoup(response.text, 'html.parser')
eventCodeList = []
#Get Urls on Page
for a in soup.find_all('a', href=True):
parsedLink = a['href'].split('/')
try:
if(parsedLink[1] == 'event'):
eventCodeList.append(parsedLink[2])
except:
pass
i = 0
while(i < len(eventCodeList)):
tempString = 'https://www.vlr.gg/event/'
tempString += eventCodeList[i]
with open('eventUrl.csv', 'a', newline='') as f:
writer = csv.writer(f)
writer.writerow([tempString])
i += 1
\ No newline at end of file
urls.csv 0 → 100644
View file @ 6a3537ea
https://www.vlr.gg/130678
https://www.vlr.gg/130679
https://www.vlr.gg/130680
https://www.vlr.gg/130681
https://www.vlr.gg/130682
https://www.vlr.gg/130683
https://www.vlr.gg/130684
https://www.vlr.gg/130685
https://www.vlr.gg/130686
https://www.vlr.gg/130687
https://www.vlr.gg/130688
https://www.vlr.gg/130689
https://www.vlr.gg/130690
https://www.vlr.gg/130691
https://www.vlr.gg/130685
https://www.vlr.gg/130691
https://www.vlr.gg/130690
https://www.vlr.gg/130684
https://www.vlr.gg/130688
https://www.vlr.gg/123859
https://www.vlr.gg/123860
https://www.vlr.gg/123861
https://www.vlr.gg/123862
https://www.vlr.gg/123863
https://www.vlr.gg/123864
https://www.vlr.gg/123865
https://www.vlr.gg/123866
https://www.vlr.gg/123867
https://www.vlr.gg/123868
https://www.vlr.gg/123869
https://www.vlr.gg/123870
https://www.vlr.gg/123871
https://www.vlr.gg/123871
https://www.vlr.gg/123865
https://www.vlr.gg/123870
https://www.vlr.gg/123868
https://www.vlr.gg/123869
https://www.vlr.gg/123322
https://www.vlr.gg/123323
https://www.vlr.gg/123324
https://www.vlr.gg/123325
https://www.vlr.gg/123326
https://www.vlr.gg/123327
https://www.vlr.gg/123328
https://www.vlr.gg/123329
https://www.vlr.gg/123330
https://www.vlr.gg/123331
https://www.vlr.gg/123332
https://www.vlr.gg/123333
https://www.vlr.gg/123334
https://www.vlr.gg/123335
https://www.vlr.gg/123329
https://www.vlr.gg/123335
https://www.vlr.gg/123334
https://www.vlr.gg/123328
https://www.vlr.gg/123333
https://www.vlr.gg/112600
https://www.vlr.gg/112601
https://www.vlr.gg/112602
https://www.vlr.gg/112603
https://www.vlr.gg/112604
https://www.vlr.gg/112605
https://www.vlr.gg/112606
https://www.vlr.gg/112607
https://www.vlr.gg/112608
https://www.vlr.gg/112609
https://www.vlr.gg/112610
https://www.vlr.gg/112611
https://www.vlr.gg/112612
https://www.vlr.gg/112613
https://www.vlr.gg/112607
https://www.vlr.gg/112613
https://www.vlr.gg/112612
https://www.vlr.gg/112606
https://www.vlr.gg/112611
https://www.vlr.gg/124195
https://www.vlr.gg/124196
https://www.vlr.gg/124197
https://www.vlr.gg/124198
https://www.vlr.gg/124199
https://www.vlr.gg/124200
https://www.vlr.gg/124201
https://www.vlr.gg/124202
https://www.vlr.gg/124203
https://www.vlr.gg/124204
https://www.vlr.gg/124205
https://www.vlr.gg/124206
https://www.vlr.gg/124207
https://www.vlr.gg/124208
https://www.vlr.gg/124202
https://www.vlr.gg/124208
https://www.vlr.gg/124207
https://www.vlr.gg/124201
https://www.vlr.gg/124206
https://www.vlr.gg/123033
https://www.vlr.gg/123034
https://www.vlr.gg/123037
https://www.vlr.gg/123035
https://www.vlr.gg/123038
https://www.vlr.gg/123036
https://www.vlr.gg/123041
https://www.vlr.gg/123042
https://www.vlr.gg/123047
https://www.vlr.gg/123050
https://www.vlr.gg/123039
https://www.vlr.gg/123040
https://www.vlr.gg/123043
https://www.vlr.gg/123044
https://www.vlr.gg/123045
https://www.vlr.gg/123046
https://www.vlr.gg/123048
https://www.vlr.gg/123049
https://www.vlr.gg/123050
https://www.vlr.gg/123049
https://www.vlr.gg/123048
https://www.vlr.gg/123047
https://www.vlr.gg/123046
https://www.vlr.gg/112320
https://www.vlr.gg/112321
https://www.vlr.gg/112322
https://www.vlr.gg/112323
https://www.vlr.gg/112324
https://www.vlr.gg/112325
https://www.vlr.gg/112326
https://www.vlr.gg/112327
https://www.vlr.gg/112328
https://www.vlr.gg/112329
https://www.vlr.gg/112330
https://www.vlr.gg/112331
https://www.vlr.gg/112332
https://www.vlr.gg/112334
https://www.vlr.gg/112327
https://www.vlr.gg/112334
https://www.vlr.gg/112332
https://www.vlr.gg/112326
https://www.vlr.gg/112330
https://www.vlr.gg/111758
https://www.vlr.gg/111759
https://www.vlr.gg/111762
https://www.vlr.gg/111765
https://www.vlr.gg/111760
https://www.vlr.gg/111761
https://www.vlr.gg/111763
https://www.vlr.gg/111764
https://www.vlr.gg/111765
https://www.vlr.gg/111764
https://www.vlr.gg/111763
https://www.vlr.gg/111762
https://www.vlr.gg/111761
https://www.vlr.gg/107065
https://www.vlr.gg/107065
https://www.vlr.gg/108002
https://www.vlr.gg/108003
https://www.vlr.gg/108004
https://www.vlr.gg/108005
https://www.vlr.gg/108006
https://www.vlr.gg/108007
https://www.vlr.gg/108005
https://www.vlr.gg/108007
https://www.vlr.gg/108004
https://www.vlr.gg/108006
https://www.vlr.gg/108003
https://www.vlr.gg/107143
https://www.vlr.gg/107144
https://www.vlr.gg/107435
https://www.vlr.gg/107436
https://www.vlr.gg/107737
https://www.vlr.gg/107743
https://www.vlr.gg/107142
https://www.vlr.gg/107141
https://www.vlr.gg/107739
https://www.vlr.gg/107740
https://www.vlr.gg/107741
https://www.vlr.gg/107742
https://www.vlr.gg/107743
https://www.vlr.gg/107742
https://www.vlr.gg/107741
https://www.vlr.gg/107737
https://www.vlr.gg/107740
https://www.vlr.gg/108234
https://www.vlr.gg/108235
https://www.vlr.gg/108236
https://www.vlr.gg/108237
https://www.vlr.gg/108238
https://www.vlr.gg/108239
https://www.vlr.gg/108240
https://www.vlr.gg/108241
https://www.vlr.gg/108242
https://www.vlr.gg/108243
https://www.vlr.gg/108239
https://www.vlr.gg/108243
https://www.vlr.gg/108238
https://www.vlr.gg/108242
https://www.vlr.gg/108241
https://www.vlr.gg/107023
https://www.vlr.gg/107024
https://www.vlr.gg/107025
https://www.vlr.gg/107026
https://www.vlr.gg/107529
https://www.vlr.gg/107525
https://www.vlr.gg/107527
https://www.vlr.gg/107528
https://www.vlr.gg/107530
https://www.vlr.gg/107526
https://www.vlr.gg/107525
https://www.vlr.gg/107526
https://www.vlr.gg/107530
https://www.vlr.gg/107529
https://www.vlr.gg/107527
https://www.vlr.gg/106910
https://www.vlr.gg/106911
https://www.vlr.gg/106912
https://www.vlr.gg/106913
https://www.vlr.gg/106914
https://www.vlr.gg/106915
https://www.vlr.gg/106920
https://www.vlr.gg/106923
https://www.vlr.gg/106916
https://www.vlr.gg/106917
https://www.vlr.gg/106918
https://www.vlr.gg/106919
https://www.vlr.gg/106921
https://www.vlr.gg/106922
https://www.vlr.gg/106923
https://www.vlr.gg/106922
https://www.vlr.gg/106921
https://www.vlr.gg/106920
https://www.vlr.gg/106919
https://www.vlr.gg/106159
https://www.vlr.gg/106160
https://www.vlr.gg/106161
https://www.vlr.gg/106162
https://www.vlr.gg/106166
https://www.vlr.gg/106167
https://www.vlr.gg/106171
https://www.vlr.gg/106173
https://www.vlr.gg/106164
https://www.vlr.gg/106165
https://www.vlr.gg/106168
https://www.vlr.gg/106169
https://www.vlr.gg/106170
https://www.vlr.gg/106172
https://www.vlr.gg/106173
https://www.vlr.gg/106172
https://www.vlr.gg/106171
https://www.vlr.gg/106170
https://www.vlr.gg/106169
https://www.vlr.gg/108010
https://www.vlr.gg/108011
https://www.vlr.gg/108012
https://www.vlr.gg/108013
https://www.vlr.gg/108014
https://www.vlr.gg/108015
https://www.vlr.gg/108016
https://www.vlr.gg/108017
https://www.vlr.gg/108018
https://www.vlr.gg/108019
https://www.vlr.gg/108015
https://www.vlr.gg/108019
https://www.vlr.gg/108018
https://www.vlr.gg/108014
https://www.vlr.gg/108017
https://www.vlr.gg/106424
https://www.vlr.gg/106425
https://www.vlr.gg/106426
https://www.vlr.gg/106426
https://www.vlr.gg/106424
https://www.vlr.gg/106425
https://www.vlr.gg/106421
https://www.vlr.gg/106422
https://www.vlr.gg/106423
https://www.vlr.gg/106423
https://www.vlr.gg/106421
https://www.vlr.gg/106422
https://www.vlr.gg/103100
https://www.vlr.gg/103101
https://www.vlr.gg/103102
https://www.vlr.gg/103103
https://www.vlr.gg/104926
https://www.vlr.gg/105267
https://www.vlr.gg/104868
https://www.vlr.gg/104869
https://www.vlr.gg/105091
https://www.vlr.gg/105269
https://www.vlr.gg/105267
https://www.vlr.gg/105269
https://www.vlr.gg/105091
https://www.vlr.gg/104926
https://www.vlr.gg/104868
https://www.vlr.gg/104969
https://www.vlr.gg/104970
https://www.vlr.gg/104973
https://www.vlr.gg/104971
https://www.vlr.gg/104972
https://www.vlr.gg/104974
https://www.vlr.gg/104974
https://www.vlr.gg/104972
https://www.vlr.gg/104971
https://www.vlr.gg/104973
https://www.vlr.gg/104970
https://www.vlr.gg/102786
https://www.vlr.gg/102787
https://www.vlr.gg/102784
https://www.vlr.gg/102785
https://www.vlr.gg/103223
https://www.vlr.gg/103226
https://www.vlr.gg/103221
https://www.vlr.gg/103222
https://www.vlr.gg/103224
https://www.vlr.gg/103225
https://www.vlr.gg/103226
https://www.vlr.gg/103225
https://www.vlr.gg/103223
https://www.vlr.gg/103224
https://www.vlr.gg/103221
https://www.vlr.gg/103233
https://www.vlr.gg/103234
https://www.vlr.gg/103235
https://www.vlr.gg/103236
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