if os.path.isfile("anno_nascita,comune_residenza,sesso.csv"):
os.rename(r'anno_nascita,comune_residenza,sesso.csv',r'sesso,anno_nascita,comune_residenza.csv')
if os.path.isfile("comune_residenza,anno_nascita,sesso.csv"):
os.rename(r'comune_residenza,anno_nascita,sesso.csv',r'sesso,anno_nascita,comune_residenza.csv')
if os.path.isfile("anno_nascita,sesso,comune_residenza.csv"):
os.rename(r'anno_nascita,sesso,comune_residenza.csv',r'sesso,anno_nascita,comune_residenza.csv')
if os.path.isfile("comune_residenza,sesso,anno_nascita.csv")
os.rename(r'comune_residenza,sesso,anno_nascita.csv',r'sesso,anno_nascita,comune_residenza.csv')
if os.path.isfile("sesso,comune_residenza,anno_nascita.csv"):
os.rename(r'sesso,comune_residenza,anno_nascita.csv',r'sesso,anno_nascita,comune_residenza.csv') #GenereSingleton
#SetIndex e PrivacyChecker
print("Running SetIndex and PrivacyChecker")
SetIndex.setIndex("dataset.csv")
PrivacyChecker.privacychecker("dataset.csv")
#YearRange + YearCentroid
thread1=AnonymizerThread("YearRange + YearCentroid","dataset_newIndex.csv", "anno_nascita", "Year")
thread1.start()
#GenderAll and GenderSingleton
thread2=AnonymizerThread("Gender All + Gender Singleton","dataset_newIndex.csv", "sesso", "Gender")
thread2.start()
#ProvinceAll and ProvinceSingleton
thread3=AnonymizerThread("Province All + Province Singleton","dataset_newIndex.csv", "comune_residenza", "Municipality")
def anonymizeThread(path, field, type):
Anonymizer.anonymize(path, field, type)
if type=="Year":
MatchingCsv.matching("dataset_newIndex.csv", path[:-4]+"Range.csv")
MatchingCsv.matching("dataset_newIndex.csv", path[:-4]+"Centroid.csv")
DropNewId.dropNewId(path[:-4]+"Range.csv")
PrivacyChecker.privacychecker(path[:-4]+"RangeNoNewId.csv")
DropNewId.dropNewId(path[:-4]+"Centroid.csv")
PrivacyChecker.privacychecker(path[:-4]+"CentroidNoNewId.csv")
if type=="Gender":
MatchingCsv.matching("dataset_newIndex.csv", path[:-4]+"GenderAll.csv")
MatchingCsv.matching("dataset_newIndex.csv", path[:-4]+"GenderSingleton.csv")
DropNewId.dropNewId(path[:-4]+"GenderAll.csv")
PrivacyChecker.privacychecker(path[:-4]+"GenderAllNoNewId.csv")
DropNewId.dropNewId(path[:-4]+"GenderSingleton.csv")
PrivacyChecker.privacychecker(path[:-4]+"GenderSingletonNoNewId.csv")
if type=="Municipality":
MatchingCsv.matching("dataset_newIndex.csv", path[:-4]+"ProvinceAll.csv")
MatchingCsv.matching("dataset_newIndex.csv", path[:-4]+"ProvinceSingleton.csv")
DropNewId.dropNewId(path[:-4]+"ProvinceAll.csv")
PrivacyChecker.privacychecker(path[:-4]+"ProvinceAllNoNewId.csv")
DropNewId.dropNewId(path[:-4]+"ProvinceSingleton.csv")
PrivacyChecker.privacychecker(path[:-4]+"ProvinceSingletonNoNewId.csv")
import pandas as pd
import random
import numpy as np
import os
import subprocess
import sys
from Anonymizer import AnonymizerClass as Anonymizer
from MatchingCsv import MatchingClass as MatchingCsv
from privacy_checker import PrivacyChecker as PrivacyChecker
from SetIndex import SetIndexClass as SetIndex
from DropNewId import DropNewIdClass as DropNewId
g = input("Do you want run only privacy_checker? : ")
if g == "yes":
print("Running privacy_checker")
PrivacyChecker.privacychecker(
"C:\\Users\\matte\\Desktop\\src\\dataset.csv")
print("Completed privacy_checker")
sys.exit()
'''The framework asks the user whether to launch the execution in debug mode, that is with the comments on the console, or to keep it clean '''
f = input("Do you want run without debug mode? : ")
if f == "yes":
os.system('python FrameworkNoDebug.py')
sys.exit()
h = input("Do you want run parallel threads? : ")
if h == "yes":
os.system('python FrameworkThreads.py')
sys.exit()
'''