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CBCS_ranking.py
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CBCS_ranking.py
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#VTU Result Scrapper
#Creator / Developer Name : Priyadharshan Saba
#Script : Python
#Python Dependencis: mechanize, requests, beautifulSoup4, numpy (>=1.10), pandas
#Runtime : Python2
import sys
sys.path.append("/usr/local/lib/python2.7/site-packages")
import requests
import mechanize
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
br = mechanize.Browser()
br.set_handle_robots(False)
def colist(x):
college_list = ['1MV']
def getGrade(n):
if n >= 90 :
return 'S+',10
elif n>=80 and n<90:
return 'S',9
elif n>=70 and n<80:
return 'A',8
elif n>=60 and n<70:
return 'B',7
elif n>=50 and n<60:
return 'C',6
elif n>=45 and n<50:
return 'D',5
elif n>=40 and n<45:
return 'E',4
else:
return 'F',0
def fetch(branch):
hashcheck=0
check_notnull=False
usns , names, gpas, level_flag = [], [], [], []
for usn_i in range(1,130):
try:
if usn_i<10:
fusn_i="00"+str(usn_i)
elif usn_i>=10 and usn_i<100:
fusn_i="0"+str(usn_i)
elif usn_i>=100:
fusn_i=str(usn_i)
uid="1MV15"+str(branch)+str(fusn_i)
level_flag.append('u')
usns.append(uid)
br.open("http://results.vtu.ac.in/vitaviresultcbcs/index.php")
br.select_form(nr=0)
br.form['lns'] = uid
sub = br.submit()
soup = BeautifulSoup(sub.read(),"lxml")
for td in soup.findAll('td',{'style':'padding-left:15px;text-transform:uppercase'}):
student_usn = td.text[3:].upper()
if student_usn!=None and hashcheck<5:
hashcheck=0
check_notnull=True
elif hashcheck>=5:
break
else:
hashcheck=hashcheck+1
check_notnull=False
if check_notnull==True:
flag=0
for i in soup.findAll('td'):
if i.text.strip(' ') == "Student Name":
flag+=1
elif flag==1:
student_name = i.text.strip(" : ")
flag=0
level_flag.append('n')
names.append(capitalize(student_name))
mar = ['mark']
print student_usn,student_name
for div in soup.findAll('div',{'style':'text-align: left;width: 400px;'}):
i=1
j=1
k=6
l=1
for div in soup.findAll('div',{'class':'divTableCell'}):
if i==6:
if j % k ==0:
mar.append(div.text)
k=k+1
l+=1
else:
j+=1
else:
i+=1
finalm = [mar[1]]
for i in xrange(4,len(mar),3):
if i <=24:
finalm.append(mar[i])
else:
break
grad = ['g']
gp = [-1]
for i in finalm:
gx=getGrade(int(i))
grad.append(gx[0])
gp.append(gx[1])
sum=0
grad.remove('g')
gp.remove(-1)
for i in range(0,len(gp)):
if i==1 or i==3:
sum += gp[i]*3.0
elif i>=6:
sum+=gp[i]*2.0
else:
sum+=gp[i]*4.0
level_flag.append('g')
gpas.append(str(sum/26)[:4])
print sum/26,"\n\n"
del finalm[:]
del mar[:]
sum=0
del level_flag[:]
except:
del mar[:]
print level_flag
for i in level_flag:
if i=='u':
del usns[-1]
elif i=='n':
del names[-1]
else:
del gpas[-1]
del level_flag[:]
try:
del finalm[:]
continue
except:
continue
# Creating Dataframes
df = pd.DataFrame({'usn':usns,'name':names,'gpa':gpas})
df.to_csv('dataset.csv', sep='\t', encoding='utf-8')
print df
def capitalize(name):
sname=''
for i in name.split(' '):
sname=sname+(i[:1].upper()+i[1:].lower())+" "
return sname
#Main
branch_list = ['CS','IS','EE','EC','ME','BT','CV']
for i in branch_list:
fetch(i)