First commit

README.md

 # Final-Project

ai.py

+# 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())
\ No newline at end of file

csvParse.py

+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()
\ No newline at end of file

eventUrl.csv

+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

+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.")
\ No newline at end of file

urlGetFunction.py

+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