forked from ScoDoc/ScoDoc
105 lines
4.0 KiB
Python
105 lines
4.0 KiB
Python
##############################################################################
|
|
# ScoDoc
|
|
# Copyright (c) 1999 - 2022 Emmanuel Viennet. All rights reserved.
|
|
# See LICENSE
|
|
##############################################################################
|
|
|
|
"""Résultats semestres BUT
|
|
"""
|
|
import pandas as pd
|
|
|
|
from app.comp import moy_ue, moy_sem, inscr_mod
|
|
from app.comp.res_common import NotesTableCompat
|
|
from app.comp.bonus_spo import BonusSport
|
|
from app.models import ScoDocSiteConfig
|
|
from app.scodoc.sco_codes_parcours import UE_SPORT
|
|
|
|
|
|
class ResultatsSemestreBUT(NotesTableCompat):
|
|
"""Résultats BUT: organisation des calculs"""
|
|
|
|
_cached_attrs = NotesTableCompat._cached_attrs + (
|
|
"modimpl_coefs_df",
|
|
"modimpls_evals_poids",
|
|
"sem_cube",
|
|
)
|
|
|
|
def __init__(self, formsemestre):
|
|
super().__init__(formsemestre)
|
|
|
|
if not self.load_cached():
|
|
self.compute()
|
|
self.store()
|
|
|
|
def compute(self):
|
|
"Charge les notes et inscriptions et calcule les moyennes d'UE et gen."
|
|
(
|
|
self.sem_cube,
|
|
self.modimpls_evals_poids,
|
|
self.modimpls_results,
|
|
) = 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, modimpls=self.formsemestre.modimpls_sorted
|
|
)
|
|
# 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)
|
|
|
|
# Elimine les coefs des UE bonus sports XXX inutile car df_load_modimpl_coefs sans bonus
|
|
# no_bonus = [ue.type != UE_SPORT for ue in self.ues]
|
|
# modimpl_coefs_no_bonus_df = self.modimpl_coefs_df[no_bonus]
|
|
self.etud_moy_ue = moy_ue.compute_ue_moys_apc(
|
|
self.sem_cube,
|
|
self.etuds,
|
|
self.formsemestre.modimpls_sorted,
|
|
self.ues,
|
|
self.modimpl_inscr_df,
|
|
self.modimpl_coefs_df,
|
|
)
|
|
# Les coefficients d'UE ne sont pas utilisés en APC
|
|
self.etud_coef_ue_df = pd.DataFrame(
|
|
1.0, index=self.etud_moy_ue.index, columns=self.etud_moy_ue.columns
|
|
)
|
|
|
|
# --- Bonus Sport & Culture
|
|
modimpl_sport = [
|
|
modimpl
|
|
for modimpl in self.formsemestre.modimpls_sorted
|
|
if modimpl.module.ue.type == UE_SPORT
|
|
]
|
|
if len(modimpl_sport) > 0:
|
|
bonus_class = ScoDocSiteConfig.get_bonus_sport_class()
|
|
if bonus_class is not None:
|
|
bonus: BonusSport = bonus_class(
|
|
self.formsemestre,
|
|
self.sem_cube,
|
|
self.ues,
|
|
self.modimpl_inscr_df,
|
|
self.modimpl_coefs_df.transpose(),
|
|
self.etud_moy_gen,
|
|
self.etud_moy_ue,
|
|
)
|
|
self.bonus_ues = bonus.get_bonus_ues()
|
|
if self.bonus_ues is not None:
|
|
self.etud_moy_ue += self.bonus_ues # somme les dataframes
|
|
self.etud_moy_ue.clip(lower=0.0, upper=20.0, inplace=True)
|
|
|
|
# Moyenne générale indicative:
|
|
# (note: le bonus sport a déjà été appliqué aux moyenens d'UE, et impacte
|
|
# donc la moyenne indicative)
|
|
self.etud_moy_gen = moy_sem.compute_sem_moys_apc(
|
|
self.etud_moy_ue, self.modimpl_coefs_df
|
|
)
|
|
self.etud_moy_gen_ranks = moy_sem.comp_ranks_series(self.etud_moy_gen)
|
|
|
|
def get_etud_mod_moy(self, moduleimpl_id: int, etudid: int) -> float:
|
|
"""La moyenne de l'étudiant dans le moduleimpl
|
|
En APC, il s'agit d'une moyenne indicative sans valeur.
|
|
Result: valeur float (peut être naN) ou chaîne "NI" (non inscrit ou DEM)
|
|
"""
|
|
mod_idx = self.modimpl_coefs_df.columns.get_loc(moduleimpl_id)
|
|
etud_idx = self.etud_index[etudid]
|
|
# moyenne sur les UE:
|
|
return self.sem_cube[etud_idx, mod_idx].mean()
|