forked from ScoDoc/ScoDoc
142 lines
4.4 KiB
Python
Executable File
142 lines
4.4 KiB
Python
Executable File
#!/opt/scodoc/venv/bin/python
|
|
# -*- coding: utf-8 -*-
|
|
# -*- mode: python -*-
|
|
|
|
##############################################################################
|
|
#
|
|
# Gestion scolarite IUT
|
|
#
|
|
# Copyright (c) 1999 - 2023 Emmanuel Viennet. All rights reserved.
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published by
|
|
# the Free Software Foundation; either version 2 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 General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU General Public License
|
|
# along with this program; if not, write to the Free Software
|
|
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
|
|
#
|
|
# Emmanuel Viennet emmanuel.viennet@viennet.net
|
|
#
|
|
##############################################################################
|
|
|
|
"""Anonymize une base de données ScoDoc
|
|
|
|
Runned as user "scodoc" with scodoc and postgresql up.
|
|
|
|
E. Viennet, Jan 2019
|
|
"""
|
|
|
|
import os
|
|
import psycopg2
|
|
import sys
|
|
import traceback
|
|
|
|
|
|
def log(msg):
|
|
sys.stdout.flush()
|
|
sys.stderr.write(msg + "\n")
|
|
sys.stderr.flush()
|
|
|
|
|
|
# --- Fonctions d'Anonymisation, en SQL
|
|
|
|
anonymize_name = "random_text_md5(8)"
|
|
anonymize_date = "'1970-01-01'"
|
|
anonymize_question_str = "'?'"
|
|
anonymize_null = "NULL"
|
|
|
|
# aggregate_length = lambda column, _: 'length({})'.format(column)
|
|
|
|
|
|
# --- Champs à anonymiser (cette configuration pourrait être placé dans
|
|
# un fichier séparé et le code serait alors générique pour toute base
|
|
# posgresql.
|
|
#
|
|
# On essaie de retirer les données personnelles des étudiants et des entreprises
|
|
# TODO: L'identité (login) des enseignants n'est pas modifiée
|
|
#
|
|
#
|
|
ANONYMIZED_FIELDS = {
|
|
"identite.nom": anonymize_name,
|
|
"identite.prenom": anonymize_name,
|
|
"identite.nom_usuel": anonymize_null,
|
|
"identite.civilite": "'X'",
|
|
"identite.date_naissance": anonymize_date,
|
|
"identite.lieu_naissance": anonymize_question_str,
|
|
"identite.dept_naissance": anonymize_question_str,
|
|
"identite.nationalite": anonymize_question_str,
|
|
"identite.statut": anonymize_null,
|
|
"identite.boursier": anonymize_null,
|
|
"identite.photo_filename": anonymize_null,
|
|
"identite.code_nip": anonymize_null,
|
|
"identite.code_ine": anonymize_null,
|
|
"identite.scodoc7_id": anonymize_null,
|
|
"adresse.email": "'ano@nyme.fr'",
|
|
"adresse.emailperso": anonymize_null,
|
|
"adresse.domicile": anonymize_null,
|
|
"adresse.codepostaldomicile": anonymize_null,
|
|
"adresse.villedomicile": anonymize_null,
|
|
"adresse.paysdomicile": anonymize_null,
|
|
"adresse.telephone": anonymize_null,
|
|
"adresse.telephonemobile": anonymize_null,
|
|
"adresse.fax": anonymize_null,
|
|
"admissions.nomlycee": anonymize_name,
|
|
"billet_absence.description": anonymize_null,
|
|
"etud_annotations.comment": anonymize_name,
|
|
"notes_appreciations.comment": anonymize_name,
|
|
}
|
|
|
|
|
|
def anonymize_column(cursor, tablecolumn):
|
|
"""Anonymise une colonne
|
|
tablecolumn est de la forme nom_de_table.nom_de_colonne, par exemple "identite.nom"
|
|
key_name est le nom de la colonne (clé) à utiliser pour certains remplacements
|
|
(cette clé doit être anonyme et unique). Par exemple, un nom propre pourrait être
|
|
remplacé par nom_valeur_de_la_clé.
|
|
"""
|
|
table, column = tablecolumn.split(".")
|
|
anonymization = ANONYMIZED_FIELDS[tablecolumn]
|
|
log("processing {}".format(tablecolumn))
|
|
cursor.execute(
|
|
"UPDATE {table} SET {column} = {value};".format(
|
|
table=table,
|
|
column=column,
|
|
value=anonymization(column, key_name)
|
|
if callable(anonymization)
|
|
else anonymization,
|
|
)
|
|
)
|
|
|
|
|
|
def anonymize_db(cursor):
|
|
"""Traite, une à une, les colonnes indiquées dans ANONYMIZED_FIELDS"""
|
|
for tablecolumn in ANONYMIZED_FIELDS:
|
|
anonymize_column(cursor, tablecolumn)
|
|
|
|
|
|
dbname = sys.argv[1]
|
|
|
|
log("\nAnonymizing database %s" % dbname)
|
|
cnx_string = "dbname=" + dbname
|
|
try:
|
|
cnx = psycopg2.connect(cnx_string)
|
|
except:
|
|
log("\n*** Error: can't connect to database %s ***\n" % dbname)
|
|
log('connexion string was "%s"' % cnx_string)
|
|
traceback.print_exc()
|
|
|
|
cnx.set_session(autocommit=False)
|
|
cursor = cnx.cursor()
|
|
|
|
anonymize_db(cursor)
|
|
|
|
cnx.commit()
|
|
cnx.close()
|