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ScoDoc-Front/tools/anonymize_db.py

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#!/opt/scodoc/venv/bin/python
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# -*- coding: utf-8 -*-
# -*- mode: python -*-
##############################################################################
#
# Gestion scolarite IUT
#
# Copyright (c) 1999 - 2019 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
#
##############################################################################
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# TODO à tester avec ScoDoc9, devrait fonctionner sans problème majeur ?
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"""Anonymize une base de données ScoDoc
Runned as user "scodoc" with scodoc and postgresql up.
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E. Viennet, Jan 2019
"""
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import os
import psycopg2
import sys
import traceback
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def log(msg):
sys.stdout.flush()
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sys.stderr.write(msg + "\n")
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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)
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# --- Champs à anonymiser (cette configuration pourrait être placé dans
# un fichier séparé et le code serait alors générique pour toute base
# posgresql.
#
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# On essaie de retirer les données personnelles des étudiants et des entreprises
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# TODO: L'identité (login) des enseignants n'est pas modifiée
#
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#
ANONYMIZED_FIELDS = {
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"identite.nom": anonymize_name,
"identite.prenom": anonymize_name,
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"identite.nom_usuel": anonymize_null,
"identite.civilite": "'X'",
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"identite.date_naissance": anonymize_date,
"identite.lieu_naissance": anonymize_question_str,
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"identite.dept_naissance": anonymize_question_str,
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"identite.nationalite": anonymize_question_str,
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"identite.statut": anonymize_null,
"identite.boursier": anonymize_null,
"identite.photo_filename": anonymize_null,
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"identite.code_nip": anonymize_null,
"identite.code_ine": anonymize_null,
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"identite.scodoc7_id": anonymize_null,
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"adresse.email": "'ano@nyme.fr'",
"adresse.emailperso": anonymize_null,
"adresse.domicile": anonymize_null,
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"adresse.codepostaldomicile": anonymize_null,
"adresse.villedomicile": anonymize_null,
"adresse.paysdomicile": anonymize_null,
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"adresse.telephone": anonymize_null,
"adresse.telephonemobile": anonymize_null,
"adresse.fax": anonymize_null,
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"admissions.nomlycee": anonymize_name,
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"billet_absence.description": anonymize_null,
"etud_annotations.comment": anonymize_name,
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# "entreprises.nom": anonymize_name,
# "entreprises.adresse": anonymize_null,
# "entreprises.ville": anonymize_null,
# "entreprises.codepostal": anonymize_null,
# "entreprises.pays": anonymize_null,
# "entreprises.contact_origine": anonymize_null,
# "entreprises.secteur": anonymize_null,
# "entreprises.note": anonymize_null,
# "entreprises.privee": anonymize_null,
# "entreprises.localisation": anonymize_null,
# "entreprise_correspondant.nom": anonymize_name,
# "entreprise_correspondant.prenom": anonymize_name,
# "entreprise_correspondant.phone1": anonymize_null,
# "entreprise_correspondant.phone2": anonymize_null,
# "entreprise_correspondant.mobile": anonymize_null,
# "entreprise_correspondant.mail1": anonymize_null,
# "entreprise_correspondant.mail2": anonymize_null,
# "entreprise_correspondant.note": anonymize_null,
# "entreprise_correspondant.fax": anonymize_null,
# "entreprise_contact.description": anonymize_null,
# "entreprise_contact.enseignant": anonymize_null,
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"notes_appreciations.comment": anonymize_name,
}
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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
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(cette clé doit être anonyme et unique). Par exemple, un nom propre pourrait être
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remplacé par nom_valeur_de_la_clé.
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"""
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,
)
)
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def anonymize_db(cursor):
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"""Traite, une à une, les colonnes indiquées dans ANONYMIZED_FIELDS"""
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for tablecolumn in ANONYMIZED_FIELDS:
anonymize_column(cursor, tablecolumn)
dbname = sys.argv[1]
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log("\nAnonymizing database %s" % dbname)
cnx_string = "dbname=" + dbname
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try:
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cnx = psycopg2.connect(cnx_string)
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except:
log("\n*** Error: can't connect to database %s ***\n" % dbname)
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log('connexion string was "%s"' % cnx_string)
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traceback.print_exc()
cnx.set_session(autocommit=False)
cursor = cnx.cursor()
anonymize_db(cursor)
cnx.commit()
cnx.close()