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ScoDoc-Front/app/but/bulletin_but.py

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##############################################################################
# ScoDoc
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# Copyright (c) 1999 - 2022 Emmanuel Viennet. All rights reserved.
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# See LICENSE
##############################################################################
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"""Génération bulletin BUT
"""
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import datetime
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from flask import url_for, g
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from app.scodoc import sco_utils as scu
from app.scodoc import sco_bulletins_json
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from app.scodoc import sco_preferences
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from app.scodoc.sco_codes_parcours import UE_SPORT
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from app.scodoc.sco_utils import fmt_note
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from app.comp.res_but import ResultatsSemestreBUT
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class BulletinBUT(ResultatsSemestreBUT):
"""Génération du bulletin BUT.
Cette classe génère des dictionnaires avec toutes les informations
du bulletin, qui sont immédiatement traduisibles en JSON.
"""
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def etud_ue_mod_results(self, etud, ue, modimpls) -> dict:
"dict synthèse résultats dans l'UE pour les modules indiqués"
d = {}
etud_idx = self.etud_index[etud.id]
ue_idx = self.modimpl_coefs_df.index.get_loc(ue.id)
etud_moy_module = self.sem_cube[etud_idx] # module x UE
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for modimpl in modimpls:
if self.modimpl_inscr_df[str(modimpl.id)][etud.id]: # si inscrit
coef = self.modimpl_coefs_df[modimpl.id][ue.id]
if coef > 0:
d[modimpl.module.code] = {
"id": modimpl.id,
"coef": coef,
"moyenne": fmt_note(
etud_moy_module[
self.modimpl_coefs_df.columns.get_loc(modimpl.id)
][ue_idx]
),
}
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return d
def etud_ue_results(self, etud, ue):
"dict synthèse résultats UE"
d = {
"id": ue.id,
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"numero": ue.numero,
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"type": ue.type,
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"ECTS": {
"acquis": 0, # XXX TODO voir jury
"total": ue.ects,
},
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"color": ue.color,
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"competence": None, # XXX TODO lien avec référentiel
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"moyenne": None,
# Le bonus sport appliqué sur cette UE
"bonus": fmt_note(self.bonus_ues[ue.id][etud.id])
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if self.bonus_ues is not None and ue.id in self.bonus_ues
else fmt_note(0.0),
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"malus": None, # XXX TODO voir ce qui est ici
"capitalise": None, # "AAAA-MM-JJ" TODO
"ressources": self.etud_ue_mod_results(etud, ue, self.ressources),
"saes": self.etud_ue_mod_results(etud, ue, self.saes),
}
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if ue.type != UE_SPORT:
d["moyenne"] = {
"value": fmt_note(self.etud_moy_ue[ue.id][etud.id]),
"min": fmt_note(self.etud_moy_ue[ue.id].min()),
"max": fmt_note(self.etud_moy_ue[ue.id].max()),
"moy": fmt_note(self.etud_moy_ue[ue.id].mean()),
}
else:
# ceci suppose que l'on a une seule UE bonus,
# en tous cas elles auront la même description
d["bonus_description"] = self.etud_bonus_description(etud.id)
modimpls_spo = [
modimpl
for modimpl in self.formsemestre.modimpls_sorted
if modimpl.module.ue.type == UE_SPORT
]
d["modules"] = self.etud_mods_results(etud, modimpls_spo)
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return d
def etud_mods_results(self, etud, modimpls) -> dict:
"""dict synthèse résultats des modules indiqués,
avec évaluations de chacun."""
d = {}
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# etud_idx = self.etud_index[etud.id]
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for modimpl in modimpls:
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# mod_idx = self.modimpl_coefs_df.columns.get_loc(mi.id)
# # moyennes indicatives (moyennes de moyennes d'UE)
# try:
# moyennes_etuds = np.nan_to_num(
# np.nanmean(self.sem_cube[:, mod_idx, :], axis=1),
# copy=False,
# )
# except RuntimeWarning: # all nans in np.nanmean (sur certains etuds sans notes valides)
# pass
# try:
# moy_indicative_mod = np.nanmean(self.sem_cube[etud_idx, mod_idx])
# except RuntimeWarning: # all nans in np.nanmean
# pass
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modimpl_results = self.modimpls_results[modimpl.id]
if self.modimpl_inscr_df[str(modimpl.id)][etud.id]: # si inscrit
d[modimpl.module.code] = {
"id": modimpl.id,
"titre": modimpl.module.titre,
"code_apogee": modimpl.module.code_apogee,
"url": url_for(
"notes.moduleimpl_status",
scodoc_dept=g.scodoc_dept,
moduleimpl_id=modimpl.id,
),
"moyenne": {
# # moyenne indicative de module: moyenne des UE, ignorant celles sans notes (nan)
# "value": fmt_note(moy_indicative_mod),
# "min": fmt_note(moyennes_etuds.min()),
# "max": fmt_note(moyennes_etuds.max()),
# "moy": fmt_note(moyennes_etuds.mean()),
},
"evaluations": [
self.etud_eval_results(etud, e)
for e in modimpl.evaluations
if e.visibulletin
and modimpl_results.evaluations_etat[e.id].is_complete
],
}
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return d
def etud_eval_results(self, etud, e) -> dict:
"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
eval_notes = self.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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d = {
"id": e.id,
"description": e.description,
"date": e.jour.isoformat() if e.jour else None,
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"heure_debut": e.heure_debut.strftime("%H:%M") if e.heure_debut else None,
"heure_fin": e.heure_fin.strftime("%H:%M") if e.heure_debut else None,
"coef": e.coefficient,
"poids": {p.ue.acronyme: p.poids for p in e.ue_poids},
"note": {
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"value": fmt_note(
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eval_notes[etud.id],
note_max=e.note_max,
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),
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"min": fmt_note(notes_ok.min()),
"max": fmt_note(notes_ok.max()),
"moy": fmt_note(notes_ok.mean()),
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},
"url": url_for(
"notes.evaluation_listenotes",
scodoc_dept=g.scodoc_dept,
evaluation_id=e.id,
),
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}
return d
def etud_bonus_description(self, etudid):
"""description du bonus affichée dans la section "UE bonus"."""
if self.bonus_ues is None or self.bonus_ues.shape[1] == 0:
return ""
import random
bonus_vect = self.bonus_ues.loc[etudid] + [random.random() for i in range(3)]
if bonus_vect.nunique() > 1:
# détail UE par UE
details = [
f"{fmt_note(bonus_vect[ue.id])} sur {ue.acronyme}"
for ue in self.ues
if ue.id in self.bonus_ues and bonus_vect[ue.id] > 0.0
]
if details:
return "Bonus de " + ", ".join(details)
else:
return "" # aucun bonus
else:
return f"Bonus de {fmt_note(bonus_vect.iloc[0])}"
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def bulletin_etud(self, etud, formsemestre, force_publishing=False) -> dict:
"""Le bulletin de l'étudiant dans ce semestre.
Si force_publishing, rempli le bulletin même si bul_hide_xml est vrai
(bulletins non publiés).
"""
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etat_inscription = etud.etat_inscription(formsemestre.id)
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nb_inscrits = self.get_inscriptions_counts()[scu.INSCRIT]
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published = (not formsemestre.bul_hide_xml) or force_publishing
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d = {
"version": "0",
"type": "BUT",
"date": datetime.datetime.utcnow().isoformat() + "Z",
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"publie": not formsemestre.bul_hide_xml,
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"etudiant": etud.to_dict_bul(),
"formation": {
"id": formsemestre.formation.id,
"acronyme": formsemestre.formation.acronyme,
"titre_officiel": formsemestre.formation.titre_officiel,
"titre": formsemestre.formation.titre,
},
"formsemestre_id": formsemestre.id,
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"etat_inscription": etat_inscription,
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"options": sco_preferences.bulletin_option_affichage(formsemestre.id),
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}
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if not published:
return d
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nbabs, nbabsjust = formsemestre.get_abs_count(etud.id)
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semestre_infos = {
"etapes": [str(x.etape_apo) for x in formsemestre.etapes if x.etape_apo],
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"date_debut": formsemestre.date_debut.isoformat(),
"date_fin": formsemestre.date_fin.isoformat(),
"annee_universitaire": self.formsemestre.annee_scolaire_str(),
"inscription": "TODO-MM-JJ", # XXX TODO
"numero": formsemestre.semestre_id,
"groupes": [], # XXX TODO
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"absences": {
"injustifie": nbabsjust,
"total": nbabs,
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},
}
semestre_infos.update(
sco_bulletins_json.dict_decision_jury(etud.id, formsemestre.id)
)
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if etat_inscription == scu.INSCRIT:
semestre_infos.update(
{
"notes": { # moyenne des moyennes générales du semestre
"value": fmt_note(self.etud_moy_gen[etud.id]),
"min": fmt_note(self.etud_moy_gen.min()),
"moy": fmt_note(self.etud_moy_gen.mean()),
"max": fmt_note(self.etud_moy_gen.max()),
},
"rang": { # classement wrt moyenne général, indicatif
"value": self.etud_moy_gen_ranks[etud.id],
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"total": nb_inscrits,
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},
},
)
d.update(
{
"ressources": self.etud_mods_results(etud, self.ressources),
"saes": self.etud_mods_results(etud, self.saes),
"ues": {
ue.acronyme: self.etud_ue_results(etud, ue) for ue in self.ues
},
"semestre": semestre_infos,
},
)
else:
semestre_infos.update(
{
"notes": {
"value": "DEM",
"min": "",
"moy": "",
"max": "",
},
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"rang": {"value": "DEM", "total": nb_inscrits},
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}
)
d.update(
{
"semestre": semestre_infos,
"ressources": {},
"saes": {},
"ues": {},
}
)
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return d