forked from ScoDoc/ScoDoc
156 lines
5.1 KiB
Python
Executable File
156 lines
5.1 KiB
Python
Executable File
#!/opt/zope213/bin/python
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# -*- coding: utf-8 -*-
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# -*- mode: python -*-
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##############################################################################
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#
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# Gestion scolarite IUT
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#
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# Copyright (c) 1999 - 2019 Emmanuel Viennet. All rights reserved.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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# Emmanuel Viennet emmanuel.viennet@viennet.net
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#
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##############################################################################
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# TODO à tester avec ScoDoc9, devrait fonctionner sans problème majeur ?
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"""Anonymize une base de données ScoDoc
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Runned as user "scodoc" with scodoc and postgresql up.
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E. Viennet, Jan 2019
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"""
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import os
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import psycopg2
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import sys
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import traceback
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def log(msg):
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sys.stdout.flush()
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sys.stderr.write(msg + "\n")
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sys.stderr.flush()
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# --- Fonctions d'Anonymisation, en SQL
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anonymize_name = "random_text_md5(8)"
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anonymize_date = "'1970-01-01'"
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anonymize_question_str = "'?'"
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anonymize_null = "NULL"
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# aggregate_length = lambda column, _: 'length({})'.format(column)
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# --- Champs à anonymiser (cette configuration pourrait être placé dans
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# un fichier séparé et le code serait alors générique pour toute base
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# posgresql.
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#
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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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#
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#
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ANONYMIZED_FIELDS = {
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"identite.nom": anonymize_name,
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"identite.prenom": anonymize_name,
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"identite.date_naissance": anonymize_date,
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"identite.lieu_naissance": anonymize_question_str,
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"identite.nationalite": anonymize_question_str,
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"identite.foto": anonymize_null,
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"identite.code_nip": anonymize_null,
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"identite.code_ine": anonymize_null,
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"identite.nom_usuel": anonymize_null,
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"adresse.email": "'ano@nyme.fr'",
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"adresse.emailperso": anonymize_null,
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"adresse.domicile": anonymize_null,
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"adresse.telephone": anonymize_null,
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"adresse.telephonemobile": anonymize_null,
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"adresse.fax": anonymize_null,
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"billet_absence.description": anonymize_null,
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"etud_annotations.comment": anonymize_name,
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"entreprises.nom": anonymize_name,
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"entreprises.adresse": anonymize_null,
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"entreprises.ville": anonymize_null,
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"entreprises.codepostal": anonymize_null,
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"entreprises.pays": anonymize_null,
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"entreprises.contact_origine": anonymize_null,
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"entreprises.secteur": anonymize_null,
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"entreprises.note": anonymize_null,
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"entreprises.privee": anonymize_null,
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"entreprises.localisation": anonymize_null,
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"entreprise_correspondant.nom": anonymize_name,
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"entreprise_correspondant.prenom": anonymize_name,
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"entreprise_correspondant.phone1": anonymize_null,
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"entreprise_correspondant.phone2": anonymize_null,
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"entreprise_correspondant.mobile": anonymize_null,
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"entreprise_correspondant.mail1": anonymize_null,
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"entreprise_correspondant.mail2": anonymize_null,
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"entreprise_correspondant.note": anonymize_null,
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"entreprise_correspondant.fax": anonymize_null,
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"entreprise_contact.description": anonymize_null,
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"entreprise_contact.enseignant": anonymize_null,
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"notes_appreciations.comment": anonymize_name,
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}
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def anonymize_column(cursor, tablecolumn):
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"""Anonymise une colonne
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tablecolumn est de la forme nom_de_table.nom_de_colonne, par exemple "identite.nom"
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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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"""
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table, column = tablecolumn.split(".")
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anonymization = ANONYMIZED_FIELDS[tablecolumn]
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log("processing {}".format(tablecolumn))
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cursor.execute(
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"UPDATE {table} SET {column} = {value};".format(
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table=table,
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column=column,
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value=anonymization(column, key_name)
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if callable(anonymization)
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else anonymization,
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)
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)
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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:
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anonymize_column(cursor, tablecolumn)
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dbname = sys.argv[1]
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log("\nAnonymizing database %s" % dbname)
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cnx_string = "dbname=" + dbname
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try:
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cnx = psycopg2.connect(cnx_string)
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except:
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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()
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cnx.set_session(autocommit=False)
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cursor = cnx.cursor()
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anonymize_db(cursor)
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cnx.commit()
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cnx.close()
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