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parse_various_csv.py
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parse_various_csv.py
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#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
# /**
# * Software Name : MCC_MNC
# * Version : 0.1
# *
# * Copyright 2020. Benoit Michau. P1 Security.
# *
# * This program is free software: you can redistribute it and/or modify
# * it under the terms of the GNU Affero General Public License as
# * published by the Free Software Foundation, either version 3 of the
# * License, or (at your option) any later version.
# *
# * This program is distributed in the hope that it will be useful,
# * but WITHOUT ANY WARRANTY; without even the implied warranty of
# * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# * GNU Affero General Public License for more details.
# *
# * You should have received a copy of the GNU Affero General Public License
# * along with this program. If not, see <https://www.gnu.org/licenses/>.
# *
# *--------------------------------------------------------
# * File Name : parse_various_csv.py
# * Created : 2020-09-14
# * Authors : Benoit Michau
# *--------------------------------------------------------
# */
import sys
import os
import argparse
import urllib.request
import csv
from parse_wikipedia_tables import (
generate_json,
generate_python,
)
PATH_PRE = 'raw/'
#------------------------------------------------------------------------------#
# get Egallic minimum distance between countries
#------------------------------------------------------------------------------#
# download the dataset with minimum distance between countries, from here
URL_MIN_DIST = 'https://gist.githubusercontent.com/mtriff/185e15be85b44547ed110e412a1771bf/'\
'raw/1bb4d287f79ca07f63d4c56110099c26e7c6ee7d/countries_distances.csv'
# which is an updated version of the dataset computed here:
# http://egallic.fr/en/closest-distance-between-countries/
# this dataset is computed thanks to various R packages
def get_egal_min_dist():
#
if not os.path.exists(PATH_PRE + 'csv_country_dist.csv'):
resp = urllib.request.urlopen(URL_MIN_DIST)
if resp.code != 200:
raise(Exception('resource %s not available, HTTP code %i' % (url, resp.code)))
with open(PATH_PRE + 'csv_country_dist.csv', 'w') as fd:
# as the data provided through the URL is not updated
# we better keep a local copy of it
fd.write(resp.read().decode('utf-8'))
print('> downloaded and stored to csv_country_dist.csv')
#
with open(PATH_PRE + 'csv_country_dist.csv', encoding='utf-8') as fd:
csv_lines = fd.readlines()
if 'pays1' in csv_lines[0]:
# remove header
del csv_lines[0]
while not csv_lines[-1].strip():
# remove blank lines
del csv_lines[-1]
#
# make it a dictionnary
D = {}
for n, src, dst, dist in csv.reader(csv_lines, delimiter=','):
src, dst, dist = map(lambda t: t.replace('"', '').strip(), (src, dst, dist))
if src not in D:
D[src] = {}
elif dst in D[src]:
print('> duplicate entry in Egallic csv for %s in %s' % (dst, src))
D[src][dst] = float(dist)
#
print('[+] parsed Egallic-related csv file with minimum distance between countries')
return D
#------------------------------------------------------------------------------#
# get txtnation csv list of MCC-MNC
#------------------------------------------------------------------------------#
# download the csv file corresponding to the list of MCC MNC provided by txtNation
# as explained here:
# https://clients.txtnation.com/hc/en-us/articles/218719768-MCCMNC-mobile-country-code-and-mobile-network-code-list
URL_TXTN_MNC = 'https://clients.txtnation.com/hc/en-us/article_attachments/206752938/MCCMNCs_v2.csv'
def get_txtn_mnc():
#
if not os.path.exists(PATH_PRE + 'csv_txtn_mnc.csv'):
resp = urllib.request.urlopen(URL_TXTN_MNC)
if resp.code != 200:
raise(Exception('resource %s not available, HTTP code %i' % (url, resp.code)))
with open(PATH_PRE + 'csv_txtn_mnc.csv', 'w') as fd:
# as the data provided through the URL is not updated
# we better keep a local copy of it
fd.write(resp.read().decode('latin_1'))
print('> downloaded and stored to csv_txtn_mnc.csv')
#
with open(PATH_PRE + 'csv_txtn_mnc.csv', encoding='utf-8') as fd:
csv_lines = fd.readlines()
if 'MCCMNC' in csv_lines[0]:
# remove header
del csv_lines[0]
while not csv_lines[-1].strip():
# remove blank lines
del csv_lines[-1]
#
# make it a dictionnary
D = {}
for mccmnc, _, mcc, _, mnc, _, country, mno in csv.reader(csv_lines, delimiter=','):
if mccmnc in D:
print('> duplicate entry in txtNation for %s' % mccmnc)
if isinstance(D[mccmnc], list):
D[mccmnc].append( (country, mno) )
else:
D[mccmnc] = [D[mccmnc], (country, mno)]
else:
assert(mccmnc.startswith(mcc) and mnc in mccmnc[3:])
D[mccmnc] = (country, mno)
#
print('[+] parsed txtNation csv file with list of MCC-MNC')
return D
#------------------------------------------------------------------------------#
# Main
#------------------------------------------------------------------------------#
URL_LICENSE_EGAL = 'http://egallic.fr/en/closest-distance-between-countries/'
URL_LICENSE_TXTN = 'https://clients.txtnation.com/hc/en-us/articles/218719768-MCCMNC-mobile-country-code-and-mobile-network-code-list'
def main():
parser = argparse.ArgumentParser(description=
'dump csv files from the Egallic blog (distance between countries) and the txtNation website (list of MCC-MNC)')
parser.add_argument('-j', action='store_true', help='produce a JSON file (with suffix .json)')
parser.add_argument('-p', action='store_true', help='produce a Python file (with suffix .py)')
args = parser.parse_args()
try:
DE = get_egal_min_dist()
DT = get_txtn_mnc()
except Exception as err:
print('> error occured: %s' % err)
return 1
#
if args.j:
generate_json(DE, PATH_PRE + 'csv_egal_min_dist.json', [URL_MIN_DIST], URL_LICENSE_EGAL)
generate_json(DT, PATH_PRE + 'csv_txtn_mccmnc.json', [URL_TXTN_MNC], URL_LICENSE_TXTN)
if args.p:
generate_python(DE, PATH_PRE + 'csv_egal_min_dist.py', [URL_MIN_DIST], URL_LICENSE_EGAL)
generate_python(DT, PATH_PRE + 'csv_txtn_mccmnc.py', [URL_TXTN_MNC], URL_LICENSE_TXTN)
return 0
if __name__ == '__main__':
sys.exit(main())