ScoDoc/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
#
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# Copyright (c) 1999 - 2024 Emmanuel Viennet. All rights reserved.
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#
# 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.
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Travaille entièrement au niveau SQL, n'utilise aucun modèle SQLAlchemy.
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E. Viennet, Jan 2019, Fev 2024
"""
import random
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import sys
import traceback
import psycopg2
from psycopg2 import extras
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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()
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def usage():
sys.stdout.flush()
sys.stderr.flush()
print(f"Usage: {sys.argv[0]} [--users] dbname", file=sys.stderr)
sys.exit(1)
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# --- Fonctions d'Anonymisation, en SQL
anonymize_name = "random_text_md5(8)"
anonymize_date = "'1970-01-01'"
anonymize_false = "FALSE"
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anonymize_question_str = "'?'"
anonymize_null = "NULL"
# --- Listes de noms et prénoms pour remplacer les identités
NOMS = [
x.strip()
for x in open("/opt/scodoc/tools/fakeportal/nomsprenoms/noms.txt", encoding="utf8")
]
PRENOMS = [
x.strip()
for x in open(
"/opt/scodoc/tools/fakeportal/nomsprenoms/prenoms.txt", encoding="utf8"
)
]
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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
# postgresql.
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#
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# On essaie de retirer les données personnelles des étudiants et des entreprises
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#
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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,
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"identite.civilite_etat_civil": anonymize_null,
"identite.prenom_etat_civil": anonymize_null,
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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_false,
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"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,
"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(".")
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anonymized = ANONYMIZED_FIELDS[tablecolumn]
log(f"processing {tablecolumn}")
cursor.execute(f"UPDATE {table} SET {column} = {anonymized};")
def rename_students(cursor):
"""Remet des noms/prenoms fictifs aux étuduiants"""
# Change les noms/prenoms
cursor.execute("""SELECT * FROM "identite";""")
etuds = cursor.fetchall()
for etud in etuds:
nom, prenom = random.choice(NOMS), random.choice(PRENOMS)
cursor.execute(
"""UPDATE "identite"
SET nom=%(nom)s, prenom=%(prenom)s
WHERE id=%(id)s
""",
{
"id": etud["id"],
"nom": nom,
"prenom": prenom,
},
)
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def anonymize_users(cursor):
"""Anonymise la table utilisateurs"""
log("processing user table")
cursor.execute("""UPDATE "user" SET email = 'x@y.fr';""")
cursor.execute("""UPDATE "user" SET password_hash = '*';""")
cursor.execute("""UPDATE "user" SET password_scodoc7 = NULL;""")
cursor.execute("""UPDATE "user" SET date_created = '2001-01-01';""")
cursor.execute("""UPDATE "user" SET date_expiration = '2201-12-31';""")
cursor.execute("""UPDATE "user" SET token = NULL;""")
cursor.execute("""UPDATE "user" SET token_expiration = NULL;""")
# Change les noms/prenoms/mail
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cursor.execute("""SELECT * FROM "user" WHERE user_name <> 'admin';""")
users = cursor.fetchall() # fetch tout car modifie cette table ds la boucle
nb_users = len(users)
used_user_names = {u["user_name"] for u in users}
for i, user in enumerate(users):
user_name = user["user_name"]
nom, prenom = random.choice(NOMS), random.choice(PRENOMS)
new_name = (prenom[0] + nom).lower()
# unique ?
while new_name in used_user_names:
new_name += "x"
used_user_names.add(new_name)
print(f"{i}/{nb_users}\t{user_name} > {new_name}")
cursor.execute(
"""UPDATE "user"
SET nom=%(nom)s, prenom=%(prenom)s, email=%(email)s, user_name=%(new_name)s
WHERE id=%(id)s
""",
{
"email": f"{prenom}.{nom}@ano.nyme",
"id": user["id"],
"nom": nom,
"prenom": prenom,
"new_name": new_name,
},
)
# Change les username: utilisés en référence externe
# dans diverses tables:
for table, field in (
("etud_annotations", "author"),
("scolog", "authenticated_user"),
("scolar_news", "authenticated_user"),
("notes_appreciations", "author"),
("are_historique", "authenticated_user"),
):
cursor.execute(
f"""UPDATE "{table}"
SET {field}=%(new_name)s
WHERE {field}=%(user_name)s
""",
{
"new_name": new_name,
"user_name": user_name,
},
)
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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)
if __name__ == "__main__":
PROCESS_USERS = False
if len(sys.argv) < 2 or len(sys.argv) > 3:
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usage()
if len(sys.argv) > 2:
if sys.argv[1] != "--users":
usage()
dbname = sys.argv[2]
PROCESS_USERS = True
else:
dbname = sys.argv[1]
log(f"\nAnonymizing database {dbname}")
cnx_string = "dbname=" + dbname
try:
cnx = psycopg2.connect(cnx_string)
except Exception as e:
log(f"\n*** Error: can't connect to database {dbname} ***\n")
log(f"""connexion string was "{cnx_string}" """)
traceback.print_exc()
cnx.set_session(autocommit=False)
cursor = cnx.cursor(cursor_factory=psycopg2.extras.DictCursor)
anonymize_db(cursor)
rename_students(cursor)
if PROCESS_USERS:
anonymize_users(cursor)
cnx.commit()
cnx.close()