forked from ScoDoc/ScoDoc
379 lines
15 KiB
Python
379 lines
15 KiB
Python
##############################################################################
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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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##############################################################################
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"""Résultats semestres BUT
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"""
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import time
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import numpy as np
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import pandas as pd
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from app import log
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from app.comp import moy_ue, moy_sem, inscr_mod
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from app.comp.res_common import NotesTableCompat
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from app.comp.bonus_spo import BonusSport
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from app.models import ScoDocSiteConfig
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from app.models.etudiants import Identite
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from app.models.moduleimpls import ModuleImpl
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from app.models.ues import UniteEns
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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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import app.scodoc.sco_utils as scu
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class ResultatsSemestreBUT(NotesTableCompat):
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"""Résultats BUT: organisation des calculs"""
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_cached_attrs = NotesTableCompat._cached_attrs + (
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"modimpl_coefs_df",
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"modimpls_evals_poids",
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"sem_cube",
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)
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def __init__(self, formsemestre):
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super().__init__(formsemestre)
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self.modimpl_coefs_df = None
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"""DataFrame, row UEs(sans bonus), cols modimplid, value coef"""
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self.sem_cube = None
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"""ndarray (etuds x modimpl x ue)"""
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if not self.load_cached():
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t0 = time.time()
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self.compute()
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t1 = time.time()
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self.store()
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t2 = time.time()
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log(
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f"ResultatsSemestreBUT: cached formsemestre_id={formsemestre.id} ({(t1-t0):g}s +{(t2-t1):g}s)"
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)
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def compute(self):
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"Charge les notes et inscriptions et calcule les moyennes d'UE et gen."
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(
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self.sem_cube,
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self.modimpls_evals_poids,
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self.modimpls_results,
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) = moy_ue.notes_sem_load_cube(self.formsemestre)
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self.modimpl_inscr_df = inscr_mod.df_load_modimpl_inscr(self.formsemestre)
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self.modimpl_coefs_df, _, _ = moy_ue.df_load_modimpl_coefs(
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self.formsemestre, modimpls=self.formsemestre.modimpls_sorted
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)
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# l'idx de la colonne du mod modimpl.id est
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# modimpl_coefs_df.columns.get_loc(modimpl.id)
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# idx de l'UE: modimpl_coefs_df.index.get_loc(ue.id)
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# Masque de tous les modules _sauf_ les bonus (sport)
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modimpls_mask = [
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modimpl.module.ue.type != UE_SPORT
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for modimpl in self.formsemestre.modimpls_sorted
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]
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self.etud_moy_ue = moy_ue.compute_ue_moys_apc(
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self.sem_cube,
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self.etuds,
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self.formsemestre.modimpls_sorted,
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self.ues,
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self.modimpl_inscr_df,
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self.modimpl_coefs_df,
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modimpls_mask,
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)
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# Les coefficients d'UE ne sont pas utilisés en APC
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self.etud_coef_ue_df = pd.DataFrame(
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0.0, index=self.etud_moy_ue.index, columns=self.etud_moy_ue.columns
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)
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# --- Modules de MALUS sur les UEs
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self.malus = moy_ue.compute_malus(
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self.formsemestre, self.sem_cube, self.ues, self.modimpl_inscr_df
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)
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self.etud_moy_ue -= self.malus
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# --- Bonus Sport & Culture
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if not all(modimpls_mask): # au moins un module bonus
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bonus_class = ScoDocSiteConfig.get_bonus_sport_class()
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if bonus_class is not None:
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bonus: BonusSport = bonus_class(
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self.formsemestre,
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self.sem_cube,
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self.ues,
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self.modimpl_inscr_df,
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self.modimpl_coefs_df.transpose(),
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self.etud_moy_gen,
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self.etud_moy_ue,
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)
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self.bonus_ues = bonus.get_bonus_ues()
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if self.bonus_ues is not None:
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self.etud_moy_ue += self.bonus_ues # somme les dataframes
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# Clippe toutes les moyennes d'UE dans [0,20]
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self.etud_moy_ue.clip(lower=0.0, upper=20.0, inplace=True)
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# Moyenne générale indicative:
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# (note: le bonus sport a déjà été appliqué aux moyennes d'UE, et impacte
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# donc la moyenne indicative)
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# self.etud_moy_gen = moy_sem.compute_sem_moys_apc_using_coefs(
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# self.etud_moy_ue, self.modimpl_coefs_df
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# )
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self.etud_moy_gen = moy_sem.compute_sem_moys_apc_using_ects(
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self.etud_moy_ue,
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[ue.ects for ue in self.ues if ue.type != UE_SPORT],
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formation_id=self.formsemestre.formation_id,
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skip_empty_ues=sco_preferences.get_preference(
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"but_moy_skip_empty_ues", self.formsemestre.id
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),
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)
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# --- UE capitalisées
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self.apply_capitalisation()
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# --- Classements:
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self.compute_rangs()
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def get_etud_mod_moy(self, moduleimpl_id: int, etudid: int) -> float:
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"""La moyenne de l'étudiant dans le moduleimpl
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En APC, il s'agit d'une moyenne indicative sans valeur.
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Result: valeur float (peut être naN) ou chaîne "NI" (non inscrit ou DEM)
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"""
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mod_idx = self.modimpl_coefs_df.columns.get_loc(moduleimpl_id)
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etud_idx = self.etud_index[etudid]
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# moyenne sur les UE:
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if len(self.sem_cube[etud_idx, mod_idx]):
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return np.nanmean(self.sem_cube[etud_idx, mod_idx])
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return np.nan
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def compute_etud_ue_coef(self, etudid: int, ue: UniteEns) -> float:
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"""Détermine le coefficient de l'UE pour cet étudiant.
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N'est utilisé que pour l'injection des UE capitalisées dans la
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moyenne générale.
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En BUT, c'est simple: Coef = somme des coefs des modules vers cette UE.
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(ne dépend pas des modules auxquels est inscrit l'étudiant, ).
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"""
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return self.modimpl_coefs_df.loc[ue.id].sum()
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def modimpls_in_ue(self, ue_id, etudid, with_bonus=True) -> list[ModuleImpl]:
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"""Liste des modimpl ayant des coefs non nuls vers cette UE
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et auxquels l'étudiant est inscrit. Inclus modules bonus le cas échéant.
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"""
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# sert pour l'affichage ou non de l'UE sur le bulletin et la table recap
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coefs = self.modimpl_coefs_df # row UE, cols modimpl
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modimpls = [
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modimpl
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for modimpl in self.formsemestre.modimpls_sorted
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if (coefs[modimpl.id][ue_id] != 0)
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and self.modimpl_inscr_df[modimpl.id][etudid]
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]
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if not with_bonus:
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return [
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modimpl for modimpl in modimpls if modimpl.module.ue.type != UE_SPORT
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]
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return modimpls
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def get_table_moyennes_triees(self, convert_values=False) -> list:
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"""Result: tuple avec
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- rows: liste de dicts { column_id : value }
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- titles: { column_id : title }
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- columns_ids: (liste des id de colonnes)
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. Si convert_values, transforme les notes en chaines ("12.34").
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Les colonnes générées sont:
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etudid
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rang : rang indicatif (basé sur moy gen)
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moy_gen : moy gen indicative
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moy_ue_<ue_id>, ..., les moyennes d'UE
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moy_res_<modimpl_id>_<ue_id>, ... les moyennes de ressources dans l'UE
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moy_sae_<modimpl_id>_<ue_id>, ... les moyennes de SAE dans l'UE
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On ajoute aussi des attributs:
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- pour les lignes:
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_css_row_class (inutilisé pour le monent)
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_<column_id>_class classe css:
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- la moyenne générale a la classe col_moy_gen
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- les colonnes SAE ont la classe col_sae
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- les colonnes Resources ont la classe col_res
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- les colonnes d'UE ont la classe col_ue
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- les colonnes de modules (SAE ou res.) d'une UE ont la classe mod_ue_<ue_id>
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_<column_id>_order : clé de tri
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"""
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def fmt_note(x):
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return scu.fmt_note(x) if convert_values else x
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barre_moy = (
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self.formsemestre.formation.get_parcours().BARRE_MOY - scu.NOTES_TOLERANCE
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)
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barre_valid_ue = self.formsemestre.formation.get_parcours().NOTES_BARRE_VALID_UE
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NO_NOTE = "-" # contenu des cellules sans notes
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rows = []
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titles = {"rang": "Rg"} # column_id : title
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def add_cell(
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row: dict, col_id: str, title: str, content: str, classes: str = ""
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):
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"Add a row to our table. classes is a list of css class names"
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row[col_id] = content
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if classes:
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row[f"_{col_id}_class"] = classes
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if not col_id in titles:
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titles[col_id] = title
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if classes:
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titles[f"_{col_id}_class"] = classes
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etuds_inscriptions = self.formsemestre.etuds_inscriptions
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ues = self.formsemestre.query_ues(with_sport=True) # avec bonus
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modimpl_ids = set() # modimpl effectivement présents dans la table
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for etudid in etuds_inscriptions:
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etud = Identite.query.get(etudid)
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row = {"etudid": etudid}
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# --- Rang
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add_cell(row, "rang", "Rg", self.etud_moy_gen_ranks[etudid], "rang")
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row["_rang_order"] = f"{self.etud_moy_gen_ranks_int[etudid]:05d}"
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# --- Identité étudiant
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add_cell(row, "civilite_str", "Civ.", etud.civilite_str, "identite_detail")
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add_cell(row, "nom_disp", "Nom", etud.nom_disp(), "identite_detail")
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add_cell(row, "prenom", "Prénom", etud.prenom, "identite_detail")
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add_cell(row, "nom_short", "Nom", etud.nom_short, "identite_court")
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# --- Moyenne générale
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moy_gen = self.etud_moy_gen.get(etudid, False)
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note_class = ""
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if moy_gen is False:
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moy_gen = NO_NOTE
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elif isinstance(moy_gen, float) and moy_gen < barre_moy:
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note_class = " moy_inf"
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add_cell(
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row,
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"moy_gen",
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"Moy",
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fmt_note(moy_gen),
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"col_moy_gen" + note_class,
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)
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# --- Moyenne d'UE
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for ue in [ue for ue in ues if ue.type != UE_SPORT]:
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ue_status = self.get_etud_ue_status(etudid, ue.id)
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if ue_status is not None:
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col_id = f"moy_ue_{ue.id}"
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val = ue_status["moy"]
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note_class = ""
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if isinstance(val, float):
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if val < barre_moy:
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note_class = " moy_inf"
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elif val >= barre_valid_ue:
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note_class = " moy_ue_valid"
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add_cell(
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row,
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col_id,
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ue.acronyme,
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fmt_note(val),
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"col_ue" + note_class,
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)
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# Les moyennes des ressources et SAÉs dans cette UE
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for modimpl in self.modimpls_in_ue(ue.id, etudid, with_bonus=False):
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if ue_status["is_capitalized"]:
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val = "-c-"
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else:
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modimpl_results = self.modimpls_results.get(modimpl.id)
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if modimpl_results: # pas bonus
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moys_vers_ue = modimpl_results.etuds_moy_module.get(
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ue.id
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)
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val = (
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moys_vers_ue.get(etudid, "?")
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if moys_vers_ue is not None
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else ""
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)
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else:
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val = ""
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col_id = (
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f"moy_{modimpl.module.type_abbrv()}_{modimpl.id}_{ue.id}"
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)
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add_cell(
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row,
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col_id,
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modimpl.module.code,
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fmt_note(val),
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# class col_res mod_ue_123
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f"col_{modimpl.module.type_abbrv()} mod_ue_{ue.id}",
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)
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modimpl_ids.add(modimpl.id)
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rows.append(row)
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# tri par rang croissant
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rows.sort(key=lambda e: e["_rang_order"])
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# INFOS POUR FOOTER
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bottom_infos = self._bottom_infos(
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[ue for ue in ues if ue.type != UE_SPORT], modimpl_ids, fmt_note
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)
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# --- TABLE FOOTER: ECTS, moyennes, min, max...
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footer_rows = []
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for bottom_line in bottom_infos:
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row = bottom_infos[bottom_line]
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# Cases vides à styler:
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row["moy_gen"] = row.get("moy_gen", "")
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row["_moy_gen_class"] = "col_moy_gen"
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# titre de la ligne:
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row["nom_disp"] = row["nom_short"] = bottom_line.capitalize()
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row["_tr_class"] = bottom_line.lower()
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footer_rows.append(row)
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return (
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rows,
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footer_rows,
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titles,
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[title for title in titles if not title.startswith("_")],
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)
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def _bottom_infos(self, ues, modimpl_ids: set, fmt_note) -> dict:
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"""Les informations à mettre en bas de la table: min, max, moy, ECTS"""
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bottom_infos = { # { key : row } avec key = min, max, moy, coef
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"min": {},
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"max": {},
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"moy": {},
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"coef": {},
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}
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# --- ECTS
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row = {}
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for ue in ues:
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row[f"moy_ue_{ue.id}"] = ue.ects
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row[f"_moy_ue_{ue.id}_class"] = "col_ue"
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# style cases vides pour borders verticales
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bottom_infos["coef"][f"moy_ue_{ue.id}"] = ""
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bottom_infos["coef"][f"_moy_ue_{ue.id}_class"] = "col_ue"
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row["moy_gen"] = sum([ue.ects or 0 for ue in ues if ue.type != UE_SPORT])
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row["_moy_gen_class"] = "col_moy_gen"
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bottom_infos["ects"] = row
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# --- MIN, MAX, MOY
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row_min, row_max, row_moy = {}, {}, {}
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row_min["moy_gen"] = fmt_note(self.etud_moy_gen.min())
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row_max["moy_gen"] = fmt_note(self.etud_moy_gen.max())
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row_moy["moy_gen"] = fmt_note(self.etud_moy_gen.mean())
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for ue in [ue for ue in ues if ue.type != UE_SPORT]:
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col_id = f"moy_ue_{ue.id}"
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row_min[col_id] = fmt_note(self.etud_moy_ue[ue.id].min())
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row_max[col_id] = fmt_note(self.etud_moy_ue[ue.id].max())
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row_moy[col_id] = fmt_note(self.etud_moy_ue[ue.id].mean())
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row_min[f"_{col_id}_class"] = "col_ue"
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row_max[f"_{col_id}_class"] = "col_ue"
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row_moy[f"_{col_id}_class"] = "col_ue"
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for modimpl in self.formsemestre.modimpls_sorted:
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if modimpl.id in modimpl_ids:
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col_id = f"moy_{modimpl.module.type_abbrv()}_{modimpl.id}_{ue.id}"
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bottom_infos["coef"][col_id] = fmt_note(
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self.modimpl_coefs_df[modimpl.id][ue.id]
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)
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i = self.modimpl_coefs_df.columns.get_loc(modimpl.id)
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j = self.modimpl_coefs_df.index.get_loc(ue.id)
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notes = self.sem_cube[:, i, j]
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row_min[col_id] = fmt_note(np.nanmin(notes))
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row_max[col_id] = fmt_note(np.nanmax(notes))
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row_moy[col_id] = fmt_note(np.nanmean(notes))
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bottom_infos["min"] = row_min
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bottom_infos["max"] = row_max
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bottom_infos["moy"] = row_moy
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return bottom_infos
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