forked from ScoDoc/ScoDoc
Bulletin BUT: ne mentionne pas les évaluations rattrapage/session2 sans notes. (c'est déjà le cas en classic)
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@ -9,12 +9,14 @@
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import collections
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import datetime
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import pandas as pd
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import numpy as np
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from flask import g, has_request_context, url_for
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from app import db
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from app.comp.moy_mod import ModuleImplResults
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from app.comp.res_but import ResultatsSemestreBUT
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from app.models import Evaluation, FormSemestre, Identite
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from app.models import Evaluation, FormSemestre, Identite, ModuleImpl
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from app.models.groups import GroupDescr
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from app.models.ues import UniteEns
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from app.scodoc import sco_bulletins, sco_utils as scu
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@ -249,59 +251,88 @@ class BulletinBUT:
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# "moy": fmt_note(moyennes_etuds.mean()),
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},
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"evaluations": (
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[
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self.etud_eval_results(etud, e)
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for e in modimpl.evaluations
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if (e.visibulletin or version == "long")
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and (e.id in modimpl_results.evaluations_etat)
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and (
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modimpl_results.evaluations_etat[e.id].is_complete
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or self.prefs["bul_show_all_evals"]
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self.etud_list_modimpl_evaluations(
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etud, modimpl, modimpl_results, version
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)
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]
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if version != "short"
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else []
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),
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}
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return d
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def etud_eval_results(self, etud, e: Evaluation) -> dict:
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def etud_list_modimpl_evaluations(
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self,
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etud: Identite,
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modimpl: ModuleImpl,
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modimpl_results: ModuleImplResults,
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version: str,
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) -> list[dict]:
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"""Liste des résultats aux évaluations de ce modimpl à montrer pour cet étudiant"""
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evaluation: Evaluation
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eval_results = []
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for evaluation in modimpl.evaluations:
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if (
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(evaluation.visibulletin or version == "long")
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and (evaluation.id in modimpl_results.evaluations_etat)
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and (
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modimpl_results.evaluations_etat[evaluation.id].is_complete
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or self.prefs["bul_show_all_evals"]
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)
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):
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eval_notes = self.res.modimpls_results[modimpl.id].evals_notes[
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evaluation.id
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]
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if (evaluation.evaluation_type == Evaluation.EVALUATION_NORMALE) or (
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not np.isnan(eval_notes[etud.id])
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):
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eval_results.append(
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self.etud_eval_results(etud, evaluation, eval_notes)
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)
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return eval_results
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def etud_eval_results(
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self, etud: Identite, evaluation: Evaluation, eval_notes: pd.DataFrame
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) -> dict:
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"dict resultats d'un étudiant à une évaluation"
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# eval_notes est une pd.Series avec toutes les notes des étudiants inscrits
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eval_notes = self.res.modimpls_results[e.moduleimpl_id].evals_notes[e.id]
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notes_ok = eval_notes.where(eval_notes > scu.NOTES_ABSENCE).dropna()
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modimpls_evals_poids = self.res.modimpls_evals_poids[e.moduleimpl_id]
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modimpls_evals_poids = self.res.modimpls_evals_poids[evaluation.moduleimpl_id]
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try:
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etud_ues_ids = self.res.etud_ues_ids(etud.id)
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poids = {
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ue.acronyme: modimpls_evals_poids[ue.id][e.id]
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ue.acronyme: modimpls_evals_poids[ue.id][evaluation.id]
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for ue in self.res.ues
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if (ue.type != UE_SPORT) and (ue.id in etud_ues_ids)
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}
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except KeyError:
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poids = collections.defaultdict(lambda: 0.0)
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d = {
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"id": e.id,
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"id": evaluation.id,
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"coef": (
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fmt_note(e.coefficient)
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if e.evaluation_type == Evaluation.EVALUATION_NORMALE
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fmt_note(evaluation.coefficient)
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if evaluation.evaluation_type == Evaluation.EVALUATION_NORMALE
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else None
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),
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"date_debut": e.date_debut.isoformat() if e.date_debut else None,
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"date_fin": e.date_fin.isoformat() if e.date_fin else None,
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"description": e.description,
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"evaluation_type": e.evaluation_type,
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"date_debut": (
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evaluation.date_debut.isoformat() if evaluation.date_debut else None
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),
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"date_fin": (
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evaluation.date_fin.isoformat() if evaluation.date_fin else None
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),
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"description": evaluation.description,
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"evaluation_type": evaluation.evaluation_type,
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"note": (
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{
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"value": fmt_note(
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eval_notes[etud.id],
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note_max=e.note_max,
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note_max=evaluation.note_max,
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),
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"min": fmt_note(notes_ok.min(), note_max=e.note_max),
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"max": fmt_note(notes_ok.max(), note_max=e.note_max),
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"moy": fmt_note(notes_ok.mean(), note_max=e.note_max),
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"min": fmt_note(notes_ok.min(), note_max=evaluation.note_max),
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"max": fmt_note(notes_ok.max(), note_max=evaluation.note_max),
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"moy": fmt_note(notes_ok.mean(), note_max=evaluation.note_max),
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}
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if not e.is_blocked()
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if not evaluation.is_blocked()
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else {}
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),
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"poids": poids,
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@ -309,17 +340,25 @@ class BulletinBUT:
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url_for(
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"notes.evaluation_listenotes",
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scodoc_dept=g.scodoc_dept,
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evaluation_id=e.id,
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evaluation_id=evaluation.id,
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)
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if has_request_context()
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else "na"
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),
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# deprecated (supprimer avant #sco9.7)
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"date": e.date_debut.isoformat() if e.date_debut else None,
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"heure_debut": (
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e.date_debut.time().isoformat("minutes") if e.date_debut else None
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"date": (
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evaluation.date_debut.isoformat() if evaluation.date_debut else None
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),
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"heure_debut": (
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evaluation.date_debut.time().isoformat("minutes")
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if evaluation.date_debut
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else None
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),
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"heure_fin": (
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evaluation.date_fin.time().isoformat("minutes")
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if evaluation.date_fin
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else None
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),
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"heure_fin": e.date_fin.time().isoformat("minutes") if e.date_fin else None,
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}
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return d
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@ -446,7 +446,8 @@ def _ue_mod_bulletin(
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):
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"""Infos sur les modules (et évaluations) dans une UE
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(ajoute les informations aux modimpls)
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Result: liste de modules de l'UE avec les infos dans chacun (seulement ceux où l'étudiant est inscrit).
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Result: liste de modules de l'UE avec les infos dans chacun (seulement
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ceux où l'étudiant est inscrit).
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"""
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bul_show_mod_rangs = sco_preferences.get_preference(
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"bul_show_mod_rangs", formsemestre_id
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@ -159,8 +159,9 @@ def anonymize_users(cursor):
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# Change les noms/prenoms/mail
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cursor.execute("""SELECT * FROM "user";""")
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users = cursor.fetchall() # fetch tout car modifie cette table ds la boucle
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nb_users = len(users)
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used_user_names = {u["user_name"] for u in users}
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for user in users:
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for i, user in enumerate(users):
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user_name = user["user_name"]
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nom, prenom = random.choice(NOMS), random.choice(PRENOMS)
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new_name = (prenom[0] + nom).lower()
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@ -168,7 +169,7 @@ def anonymize_users(cursor):
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while new_name in used_user_names:
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new_name += "x"
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used_user_names.add(new_name)
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print(f"{user_name} > {new_name}")
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print(f"{i}/{nb_users}\t{user_name} > {new_name}")
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cursor.execute(
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"""UPDATE "user"
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SET nom=%(nom)s, prenom=%(prenom)s, email=%(email)s, user_name=%(new_name)s
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@ -234,6 +235,7 @@ if __name__ == "__main__":
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cursor = cnx.cursor(cursor_factory=psycopg2.extras.DictCursor)
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anonymize_db(cursor)
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rename_students(cursor)
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if PROCESS_USERS:
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anonymize_users(cursor)
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