forked from ScoDoc/ScoDoc
87 lines
3.4 KiB
Python
87 lines
3.4 KiB
Python
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"""
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Test calcul moyennes UE
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"""
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import numpy as np
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import pandas as pd
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from tests.unit import setup
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from app.models.etudiants import Identite
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from tests.unit import sco_fake_gen
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from app import db
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from app import models
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from app.comp import moy_mod
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from app.comp import moy_ue
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from app.comp import inscr_mod
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from app.models import Evaluation, formsemestre
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from app.scodoc import sco_codes_parcours, sco_saisie_notes
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from app.scodoc.sco_utils import NOTES_ATTENTE, NOTES_NEUTRALISE
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def test_ue_moy(test_client):
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"""Test calcul moyenne UE avec saisie des notes via ScoDoc"""
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ue_coefs = (1.0, 2.0, 3.0) # coefs des modules vers les 3 UE
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nb_ues = len(ue_coefs)
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nb_mods = 2 # 2 modules
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(
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G,
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formation_id,
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sem,
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evaluation_ids,
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ue1,
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ue2,
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ue3,
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) = setup.build_modules_with_evaluations(ue_coefs=ue_coefs, nb_mods=nb_mods)
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assert len(evaluation_ids) == nb_mods
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formsemestre_id = sem["formsemestre_id"]
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formsemestre = models.FormSemestre.query.get(formsemestre_id)
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evaluation1 = models.Evaluation.query.get(evaluation_ids[0])
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evaluation2 = models.Evaluation.query.get(evaluation_ids[1])
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etud = G.create_etud(nom="test")
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G.inscrit_etudiant(sem, etud)
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etudid = etud["etudid"]
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# e1 est l'éval du module 1, et e2 l'éval du module 2
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e1p1, e1p2, e1p3 = 1.0, 2.0, 3.0 # poids de l'éval 1 vers les UE 1, 2 et 3
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e2p1, e2p2, e2p3 = 3.0, 1.0, 5.0 # poids de l'éval 2 vers les UE
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evaluation1.set_ue_poids_dict({ue1.id: e1p1, ue2.id: e1p2, ue3.id: e1p3})
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evaluation2.set_ue_poids_dict({ue1.id: e2p1, ue2.id: e2p2, ue3.id: e2p3})
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# Les coefs des évaluations:
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coef_e1, coef_e2 = 7.0, 11.0
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evaluation1.coefficient = coef_e1
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evaluation2.coefficient = coef_e2
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# Les moduleimpls
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modimpls = [evaluation1.moduleimpl, evaluation2.moduleimpl]
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# Check inscriptions modules
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modimpl_inscr_df = inscr_mod.df_load_modimpl_inscr(formsemestre_id)
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assert (modimpl_inscr_df.values == np.array([[1, 1]])).all()
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# Coefs des modules vers les UE:
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modimpl_coefs_df, ues, modimpls = moy_ue.df_load_modimpl_coefs(formsemestre)
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assert modimpl_coefs_df.shape == (nb_ues, nb_mods)
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assert len(ues) == nb_ues
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assert len(modimpls) == nb_mods
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assert (modimpl_coefs_df.values == np.array([ue_coefs] * nb_mods).transpose()).all()
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# --- Change les notes et recalcule les moyennes
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# (rappel: on a deux évaluations: evaluation1, evaluation2, et un seul étudiant)
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def change_notes(n1, n2):
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# Saisie d'une note dans chaque éval
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_ = sco_saisie_notes.notes_add(G.default_user, evaluation1.id, [(etudid, n1)])
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_ = sco_saisie_notes.notes_add(G.default_user, evaluation2.id, [(etudid, n2)])
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# Recalcul des moyennes
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sem_cube = moy_ue.notes_sem_load_cube(formsemestre_id)
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etuds = formsemestre.etuds.all()
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etud_moy_ue = moy_ue.compute_ue_moys(
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sem_cube, etuds, modimpls, ues, modimpl_inscr_df, modimpl_coefs_df
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)
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return etud_moy_ue
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# Cas simple: 1 eval / module, notes normales,
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# coefs non nuls.
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n1, n2 = 5.0, 13.0 # notes aux 2 evals (1 dans chaque module)
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etud_moy_ue = change_notes(5.0, 13.0)
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assert etud_moy_ue.shape == (1, nb_ues) # 1 étudiant
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assert etud_moy_ue[ue1.id][etudid] == (n1 + n2) / 2
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assert etud_moy_ue[ue2.id][etudid] == (n1 + n2) / 2
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assert etud_moy_ue[ue3.id][etudid] == (n1 + n2) / 2
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#
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