Beispiel #1
0
def main(locname, relLoc="./"):
    csv.field_size_limit(sys.maxsize)
    locD = geo.readIdToLoc(locname)
    flist = glob.glob(relLoc + '20*')
    fname = flist.pop()
    fin = csv.reader(open(fname + '/profiles.csv', 'r'))
    pDict = prof.builddict(fin)
    uin = csv.reader(open(fname + '/users.csv', 'r'))
    uDict = user.builddict(uin)
    fullR = bcr.buildRosterDict(pDict, uDict, locD)

    for f in flist:
        fin = csv.reader(open(f + '/profiles.csv', 'r'))
        addDict = prof.builddict(fin)
        uin = csv.reader(open(f + '/users.csv', 'r'))
        uDict = user.builddict(uin)
        addR = bcr.buildRosterDict(addDict, uDict, locD)
        for i in iter(addR):
            if i not in fullR:
                fullR[i] = addR[i]

    outname = relLoc + 'FullRoster.csv'
    bcr.writeRoster(fullR, outname)
def main(locname, relLoc="./"):
    csv.field_size_limit(sys.maxsize)
    locD = geo.readIdToLoc(locname)
    flist = glob.glob(relLoc + "20*")
    fname = flist.pop()
    fin = csv.reader(open(fname + "/profiles.csv", "r"))
    pDict = prof.builddict(fin)
    uin = csv.reader(open(fname + "/users.csv", "r"))
    uDict = user.builddict(uin)
    fullR = bcr.buildRosterDict(pDict, uDict, locD)

    for f in flist:
        fin = csv.reader(open(f + "/profiles.csv", "r"))
        addDict = prof.builddict(fin)
        uin = csv.reader(open(f + "/users.csv", "r"))
        uDict = user.builddict(uin)
        addR = bcr.buildRosterDict(addDict, uDict, locD)
        for i in iter(addR):
            if i not in fullR:
                fullR[i] = addR[i]

    outname = relLoc + "FullRoster.csv"
    bcr.writeRoster(fullR, outname)
Beispiel #3
0
        gender = profiles[uid].gender
        if day not in retdict:
            retdict[day] = enrollday()
        if gender == 'm':
            retdict[day].m += 1
        elif gender == 'f':
            retdict[day].f += 1
        else:
            retdict[day].n += 1
        retdict[day].t += 1
    return retdict


csv.field_size_limit(1000000000)
f = csv.reader(open(sys.argv[1], 'r'))
profdict = userprofile.builddict(f)
e = csv.reader(open(sys.argv[2], 'r'))
enrdict = buildenrolldict(e, profdict)
it = sorted(enrdict.keys())
outfile = csv.writer(open(sys.argv[3], 'w'))
mt = ft = nt = 0
outfile.writerow(['Enroll Date', 'Male', 'Female', 'Unspecified', 'Total'])
for date in it:
    rec = enrdict[date]
    outfile.writerow([date, rec.m, rec.f, rec.n, rec.t])
    mt += rec.m
    ft += rec.f
    nt += rec.n

outfile.writerow(['', mt, ft, nt, mt + ft + nt])
Beispiel #4
0
       'b':0,
       'hs':0,
       'jhs':0,
       'el':0,
       'none':0,
       'other':0,
       'unk':0
       }
        
csv.field_size_limit(1000000000)
clName = sys.argv[1]
ufile = utils.getFileName('user file')
ufin = csv.reader(open(ufile, 'r'))
profile_file = utils.getFileName('student profiles')
infile = csv.reader(open(profile_file, 'r'))
profiles = prof.builddict(infile)
countryFile = utils.getFileName('username and country file')
countryDict = makeCountryDict(ufin, countryFile)
outName = raw_input("enter file name for output; nothing for stdout : ")
if outName == '':
    outp = sys.stdout.write
else:
    outFile = open(outName, 'w')
    outp = outFile.write
outfile = csv.writer(open('anon'+sys.argv[1], 'w'))

students = profiles.keys()

for s in students:
    if profiles[s].gender == 'm':
        male += 1
from classData import user, userprofile as userp
import sys
import csv

def split(name):
    """
    Splits a string of form firstname lastname into two strings, returning a list
    containing those names.
    """
    spIn = name.rfind(' ')
    first = name[ :spIn]
    last = name[spIn + 1: ]
    return [first, last]

if __name__ == '__main__':
    csv.field_size_limit(sys.maxsize)
    ufile = csv.reader(open('users.csv','r'))
    udict = user.builddict(ufile)
    pfile = csv.reader(open('profiles.csv', 'r'))
    pdict = userp.builddict(pfile)
    
    outfile = csv.writer(open('mailAddresses.csv','w'))
    
    for uid in iter(udict):
        if uid in pdict:
            name = pdict[uid].name
        else :
            name = 'Missing Profile'
        [first, last] = split(name)
        outfile.writerow([first, last, udict[uid].email])
Beispiel #6
0
from classData import user
from classData import certificates as cs
from classData import ipGeoloc as geo


if (len(sys.argv) < 2):
    print('Usage: buildAnonProfile.py courseName profileFile userFile countryFile certFile')
    sys.exit()
    
csv.field_size_limit(1000000)

out_name = sys.argv[1] + 'anonProfile.csv'
o1 = csv.writer(open(out_name, 'w'))

ufile = csv.reader(open(sys.argv[2], 'r'))
uprof = prof.builddict(ufile)

udfile = csv.reader(open(sys.argv[3], 'r'))
udict = user.builddict(udfile)

countryFile = csv.reader(open(sys.argv[4], 'r'))
locDict = geo.builddict(countryFile)

certs = False
if (len(sys.argv) > 5):
    certfile = csv.reader(open(sys.argv[5], 'r'))
    certDict = cs.builddict(certfile)
    certs = True
    

students = uprof.keys()
Beispiel #7
0
The program takes no arguments, but assumes that the files are name users.csv,
profiles.csv, enrollment.csv, and produces a userDiffs.csv file.
'''


import csv
from classData import user
from classData import userprofile as uprofile
from classData import course_enrollment as ce

if __name__ == '__main__':
    csv.field_size_limit(1000000)
    uIn = csv.reader(open('users.csv', 'r'))
    uDict = user.builddict(uIn)
    upIn = csv.reader(open('profiles.csv', 'r'))
    upDict = uprofile.builddict(upIn)
    ceIn = csv.reader(open('enrollment.csv', 'r'))
    ceDict = ce.builddict(ceIn)
    of = csv.writer(open('userDiffs.csv', 'w'))
    of.writerow(['ids in user file, not in profiles file'])
    for u in iter(uDict):
        if u not in upDict:
            of.writerow([u])
    
    of.writerow(['ids in profiles file, not in user file'])
    for p in iter(upDict):
        if p not in uDict:
            of.writerow([p])
    
    of.writerow(['ids in user file, not in enrollment file'])
    for u in iter(uDict):
Beispiel #8
0
        rl = rosterLine(sid, name, uname, maddr, cnt, age, edu, gender)
        retDict[sid] = rl
    ofile.close()
    return retDict

def writeRoster(rDict, filein):
    """
    Write a roster dictionary to a .csv file
    
    Write a class roster dictionary to a .csv file named by the input parameter. 
    """
    ofile = open(filein, 'w')
    rf = csv.writer(ofile)
    rf.writerow(['Student ID', 'Name', 'User Name', 'Email', 'Country', 'Age', 'Education Level', 'Gender'])
    for s in iter(rDict):
        wl = rDict[s]
        rf.writerow([wl.sid, wl.name, wl.uname, wl.maddr, wl.cnt, wl.age, wl.ed, wl.gender])
    ofile.close()
    

if __name__ == '__main__':     
    csv.field_size_limit(sys.maxsize)
    cl_name = sys.argv[1]

    proDict = profile.builddict(csv.reader(open(cl_name + '/profiles.csv', 'r')))
    uDict = user.builddict(csv.reader(open(cl_name + '/users.csv', 'r')))
    loc_name = sys.argv[2]
    locDict = geo.readIdToLoc(loc_name)
    rDict = buildRosterDict(proDict, uDict, locDict)
    writeRoster(rDict, cl_name + '/class_roster.csv')
    
Beispiel #9
0
import csv


def split(name):
    """
    Splits a string of form firstname lastname into two strings, returning a list
    containing those names.
    """
    spIn = name.rfind(' ')
    first = name[:spIn]
    last = name[spIn + 1:]
    return [first, last]


if __name__ == '__main__':
    csv.field_size_limit(sys.maxsize)
    ufile = csv.reader(open('users.csv', 'r'))
    udict = user.builddict(ufile)
    pfile = csv.reader(open('profiles.csv', 'r'))
    pdict = userp.builddict(pfile)

    outfile = csv.writer(open('mailAddresses.csv', 'w'))

    for uid in iter(udict):
        if uid in pdict:
            name = pdict[uid].name
        else:
            name = 'Missing Profile'
        [first, last] = split(name)
        outfile.writerow([first, last, udict[uid].email])
        gender = profiles[uid].gender
        if day not in retdict:
            retdict[day]= enrollday()
        if gender == 'm':
            retdict[day].m += 1
        elif gender == 'f':
            retdict[day].f += 1
        else :
            retdict[day].n += 1
        retdict[day].t += 1
    return retdict
            
        
csv.field_size_limit(1000000000)
f = csv.reader(open(sys.argv[1], 'r'))
profdict = userprofile.builddict(f)
e = csv.reader(open(sys.argv[2], 'r'))
enrdict = buildenrolldict(e, profdict)
it = sorted(enrdict.keys())
outfile = csv.writer(open(sys.argv[3], 'w'))
mt = ft = nt = 0
outfile.writerow(['Enroll Date', 'Male', 'Female', 'Unspecified', 'Total'])
for date in it:
    rec = enrdict[date]
    outfile.writerow([date, rec.m, rec.f, rec.n, rec.t])
    mt += rec.m
    ft += rec.f
    nt += rec.n
    
outfile.writerow(['', mt, ft, nt, mt+ft+nt])