ScoDoc-PE/app/comp/res_but.py
2022-01-26 22:59:53 +01:00

97 lines
3.6 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, ues=self.ues, 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
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,
modimpl_coefs_no_bonus_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
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:
self.etud_moy_gen = moy_sem.compute_sem_moys_apc(
self.etud_moy_ue, modimpl_coefs_no_bonus_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()