ScoDoc-PE/app/but/bulletin_but.py

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2021-12-05 20:21:51 +01:00
##############################################################################
# ScoDoc
# Copyright (c) 1999 - 2021 Emmanuel Viennet. All rights reserved.
# See LICENSE
##############################################################################
from collections import defaultdict
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import datetime
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from flask import url_for, g
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import numpy as np
import pandas as pd
from app import db
from app.comp import moy_ue, moy_sem, inscr_mod
from app.models import ModuleImpl
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from app.scodoc import sco_utils as scu
from app.scodoc.sco_cache import ResultatsSemestreBUTCache
from app.scodoc.sco_exceptions import ScoFormatError
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from app.scodoc import sco_preferences
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from app.scodoc.sco_utils import jsnan, fmt_note
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class ResultatsSemestreBUT:
"""Structure légère pour stocker les résultats du semestre et
générer les bulletins.
__init__ : charge depuis le cache ou calcule
invalidate(): invalide données cachées
"""
_cached_attrs = (
"sem_cube",
"modimpl_inscr_df",
"modimpl_coefs_df",
"etud_moy_ue",
"modimpls_evals_poids",
"modimpls_evals_notes",
"etud_moy_gen",
"etud_moy_gen_ranks",
"modimpls_evaluations_complete",
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)
def __init__(self, formsemestre):
self.formsemestre = formsemestre
self.ues = formsemestre.query_ues().all()
self.modimpls = formsemestre.modimpls.all()
self.etuds = self.formsemestre.get_inscrits(include_dem=False)
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self.etud_index = {e.id: idx for idx, e in enumerate(self.etuds)}
self.saes = [
m for m in self.modimpls if m.module.module_type == scu.ModuleType.SAE
]
self.ressources = [
m for m in self.modimpls if m.module.module_type == scu.ModuleType.RESSOURCE
]
if not self.load_cached():
self.compute()
self.store()
def load_cached(self) -> bool:
"Load cached dataframes, returns False si pas en cache"
data = ResultatsSemestreBUTCache.get(self.formsemestre.id)
if not data:
return False
for attr in self._cached_attrs:
setattr(self, attr, data[attr])
return True
def store(self):
"Cache our dataframes"
ResultatsSemestreBUTCache.set(
self.formsemestre.id,
{attr: getattr(self, attr) for attr in self._cached_attrs},
)
def compute(self):
"Charge les notes et inscriptions et calcule toutes les moyennes"
(
self.sem_cube,
self.modimpls_evals_poids,
self.modimpls_evals_notes,
modimpls_evaluations,
self.modimpls_evaluations_complete,
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) = moy_ue.notes_sem_load_cube(self.formsemestre)
self.modimpl_inscr_df = inscr_mod.df_load_modimpl_inscr(self.formsemestre)
self.modimpl_coefs_df, _, _ = moy_ue.df_load_modimpl_coefs(
self.formsemestre, ues=self.ues, modimpls=self.modimpls
)
# l'idx de la colonne du mod modimpl.id est
# modimpl_coefs_df.columns.get_loc(modimpl.id)
# idx de l'UE: modimpl_coefs_df.index.get_loc(ue.id)
self.etud_moy_ue = moy_ue.compute_ue_moys(
self.sem_cube,
self.etuds,
self.modimpls,
self.ues,
self.modimpl_inscr_df,
self.modimpl_coefs_df,
)
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self.etud_moy_gen = moy_sem.compute_sem_moys(
self.etud_moy_ue, self.modimpl_coefs_df
)
self.etud_moy_gen_ranks = moy_sem.comp_ranks_series(self.etud_moy_gen)
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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
for mi in modimpls:
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coef = self.modimpl_coefs_df[mi.id][ue.id]
if coef > 0:
d[mi.module.code] = {
"id": mi.id,
"coef": coef,
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"moyenne": fmt_note(
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etud_moy_module[self.modimpl_coefs_df.columns.get_loc(mi.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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"ECTS": {
"acquis": 0, # XXX TODO voir jury
"total": ue.ects,
},
"competence": None, # XXX TODO lien avec référentiel
"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()),
},
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"bonus": None, # XXX TODO
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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),
}
return d
def etud_mods_results(self, etud, modimpls) -> dict:
"""dict synthèse résultats des modules indiqués,
avec évaluations de chacun."""
d = {}
etud_idx = self.etud_index[etud.id]
for mi in modimpls:
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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d[mi.module.code] = {
"id": mi.id,
"titre": mi.module.titre,
"code_apogee": mi.module.code_apogee,
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"url": url_for(
"notes.moduleimpl_status",
scodoc_dept=g.scodoc_dept,
moduleimpl_id=mi.id,
),
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"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()),
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},
"evaluations": [
self.etud_eval_results(etud, e)
for eidx, e in enumerate(mi.evaluations)
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if e.visibulletin
and self.modimpls_evaluations_complete[mi.id][eidx]
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],
}
return d
def etud_eval_results(self, etud, e) -> dict:
"dict resultats d'un étudiant à une évaluation"
eval_notes = self.modimpls_evals_notes[e.moduleimpl_id][e.id] # pd.Series
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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(
self.modimpls_evals_notes[e.moduleimpl_id][e.id][etud.id]
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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 bulletin_etud(self, etud, formsemestre) -> dict:
"""Le bulletin de l'étudiant dans ce semestre"""
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etat_inscription = etud.etat_inscription(formsemestre.id)
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d = {
"version": "0",
"type": "BUT",
"date": datetime.datetime.utcnow().isoformat() + "Z",
"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": bulletin_option_affichage(formsemestre),
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}
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semestre_infos = {
"etapes": { # XXX TODO
# à spécifier: liste des étapes Apogée
},
"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,
"decision": None, # XXX TODO
"situation": "non disponible", # "Décision jury: Validé. Diplôme obtenu.", # XXX TODO
"date_jury": "AAAA-MM-JJ", # XXX TODO
"groupes": [], # XXX TODO
"absences": { # XXX TODO
"injustifie": 1,
"total": 33,
},
}
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],
"total": len(self.etuds),
},
},
)
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": "",
},
"rang": {"value": "DEM", "total": len(self.etuds)},
}
)
d.update(
{
"semestre": semestre_infos,
"ressources": {},
"saes": {},
"ues": {},
}
)
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return d
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def bulletin_option_affichage(formsemestre):
"dict avec les options d'affichages (préférences) pour ce semestre"
prefs = sco_preferences.SemPreferences(formsemestre.id)
fields = (
"bul_show_abs",
"bul_show_abs_modules",
"bul_show_ects",
"bul_show_codemodules",
"bul_show_matieres",
"bul_show_rangs",
"bul_show_ue_rangs",
"bul_show_mod_rangs",
"bul_show_moypromo",
"bul_show_minmax",
"bul_show_minmax_mod",
"bul_show_minmax_eval",
"bul_show_coef",
"bul_show_ue_cap_details",
"bul_show_ue_cap_current",
"bul_show_temporary",
"bul_temporary_txt",
"bul_show_uevalid",
"bul_show_date_inscr",
)
# on enlève le "bul_" de la clé:
return {field[4:]: prefs[field] for field in fields}
# Pour raccorder le code des anciens bulletins qui attendent une NoteTable
class APCNotesTableCompat:
"""Implementation partielle de NotesTable pour les formations APC
Accès aux notes et rangs.
"""
def __init__(self, formsemestre):
self.results = ResultatsSemestreBUT(formsemestre)
nb_etuds = len(self.results.etuds)
self.rangs = self.results.etud_moy_gen_ranks
self.moy_min = self.results.etud_moy_gen.min()
self.moy_max = self.results.etud_moy_gen.max()
self.moy_moy = self.results.etud_moy_gen.mean()
self.bonus = defaultdict(lambda: 0.0) # XXX
self.ue_rangs = {
u.id: (defaultdict(lambda: 0.0), nb_etuds) for u in self.results.ues
}
self.mod_rangs = {
m.id: (defaultdict(lambda: 0), nb_etuds) for m in self.results.modimpls
}
def get_ues(self):
ues = []
for ue in self.results.ues:
d = ue.to_dict()
d.update(
{
"max": self.results.etud_moy_ue[ue.id].max(),
"min": self.results.etud_moy_ue[ue.id].min(),
"moy": self.results.etud_moy_ue[ue.id].mean(),
"nb_moy": len(self.results.etud_moy_ue),
}
)
ues.append(d)
return ues
def get_modimpls(self):
return [m.to_dict() for m in self.results.modimpls]
def get_etud_moy_gen(self, etudid):
return self.results.etud_moy_gen[etudid]
def get_moduleimpls_attente(self):
return [] # XXX TODO
def get_etud_rang(self, etudid):
return self.rangs[etudid]
def get_etud_rang_group(self, etudid, group_id):
return (None, 0) # XXX unimplemented TODO
def get_etud_ue_status(self, etudid, ue_id):
return {
"cur_moy_ue": self.results.etud_moy_ue[ue_id][etudid],
"is_capitalized": False, # XXX TODO
}
def get_etud_mod_moy(self, moduleimpl_id, etudid):
mod_idx = self.results.modimpl_coefs_df.columns.get_loc(moduleimpl_id)
etud_idx = self.results.etud_index[etudid]
# moyenne sur les UE:
self.results.sem_cube[etud_idx, mod_idx].mean()
def get_mod_stats(self, moduleimpl_id):
return {
"moy": "-",
"max": "-",
"min": "-",
"nb_notes": "-",
"nb_missing": "-",
"nb_valid_evals": "-",
}
def get_evals_in_mod(self, moduleimpl_id):
mi = ModuleImpl.query.get(moduleimpl_id)
evals_results = []
for e in mi.evaluations:
d = e.to_dict()
d["heure_debut"] = e.heure_debut # datetime.time
d["heure_fin"] = e.heure_fin
d["jour"] = e.jour # datetime
d["notes"] = {
etud.id: {
"etudid": etud.id,
"value": self.results.modimpls_evals_notes[e.moduleimpl_id][e.id][
etud.id
],
}
for etud in self.results.etuds
}
evals_results.append(d)
return evals_results