forked from ScoDoc/ScoDoc
Merge branch 'dev93' of https://scodoc.org/git/viennet/ScoDoc
This commit is contained in:
commit
9212f72581
@ -34,7 +34,7 @@ def df_load_modimpl_inscr(formsemestre) -> pd.DataFrame:
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)
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df = df.merge(ins_df, how="left", left_index=True, right_index=True)
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# Force columns names to integers (moduleimpl ids)
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df.columns = pd.Int64Index([int(x) for x in df.columns], dtype="int")
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df.columns = pd.Index([int(x) for x in df.columns], dtype=int)
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# les colonnes de df sont en float (Nan) quand il n'y a
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# aucun inscrit au module.
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df.fillna(0, inplace=True) # les non-inscrits
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@ -169,9 +169,7 @@ class ModuleImplResults:
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self.en_attente = True
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# Force columns names to integers (evaluation ids)
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evals_notes.columns = pd.Int64Index(
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[int(x) for x in evals_notes.columns], dtype="int"
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)
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evals_notes.columns = pd.Index([int(x) for x in evals_notes.columns], dtype=int)
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self.evals_notes = evals_notes
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def _load_evaluation_notes(self, evaluation: Evaluation) -> pd.DataFrame:
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@ -271,7 +271,7 @@ def compute_ue_moys_apc(
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)
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# Annule les coefs des modules NaN
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modimpl_coefs_etuds_no_nan = np.where(np.isnan(sem_cube), 0.0, modimpl_coefs_etuds)
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if modimpl_coefs_etuds_no_nan.dtype == np.object: # arrive sur des tableaux vides
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if modimpl_coefs_etuds_no_nan.dtype == object: # arrive sur des tableaux vides
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modimpl_coefs_etuds_no_nan = modimpl_coefs_etuds_no_nan.astype(np.float)
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#
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# Version vectorisée
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@ -356,7 +356,7 @@ def compute_ue_moys_classic(
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modimpl_coefs_etuds_no_nan = np.where(
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np.isnan(sem_matrix), 0.0, modimpl_coefs_etuds
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)
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if modimpl_coefs_etuds_no_nan.dtype == np.object: # arrive sur des tableaux vides
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if modimpl_coefs_etuds_no_nan.dtype == object: # arrive sur des tableaux vides
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modimpl_coefs_etuds_no_nan = modimpl_coefs_etuds_no_nan.astype(np.float)
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# --------------------- Calcul des moyennes d'UE
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ue_modules = np.array(
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@ -367,7 +367,7 @@ def compute_ue_moys_classic(
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)
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# nb_ue x nb_etuds x nb_mods : coefs prenant en compte NaN et inscriptions:
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coefs = (modimpl_coefs_etuds_no_nan_stacked * ue_modules).swapaxes(1, 2)
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if coefs.dtype == np.object: # arrive sur des tableaux vides
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if coefs.dtype == object: # arrive sur des tableaux vides
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coefs = coefs.astype(np.float)
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with np.errstate(invalid="ignore"): # ignore les 0/0 (-> NaN)
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etud_moy_ue = (
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@ -462,7 +462,7 @@ def compute_mat_moys_classic(
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modimpl_coefs_etuds_no_nan = np.where(
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np.isnan(sem_matrix), 0.0, modimpl_coefs_etuds
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)
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if modimpl_coefs_etuds_no_nan.dtype == np.object: # arrive sur des tableaux vides
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if modimpl_coefs_etuds_no_nan.dtype == object: # arrive sur des tableaux vides
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modimpl_coefs_etuds_no_nan = modimpl_coefs_etuds_no_nan.astype(np.float)
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etud_moy_mat = (modimpl_coefs_etuds_no_nan * sem_matrix_inscrits).sum(
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@ -272,9 +272,15 @@ def _build_etud_res(e, apo_data):
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r = {}
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for elt_code in apo_data.apo_elts:
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elt = apo_data.apo_elts[elt_code]
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col_ids_type = [
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(ec["apoL_a01_code"], ec["Type R\xc3\xa9s."]) for ec in elt.cols
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] # les colonnes de cet élément
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try:
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# les colonnes de cet élément
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col_ids_type = [
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(ec["apoL_a01_code"], ec["Type R\xc3\xa9s."]) for ec in elt.cols
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]
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except KeyError as exc:
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raise ScoValueError(
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"Erreur: un élément sans 'Type R\xc3\xa9s.'. Vérifiez l'encodage de vos fichiers."
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) from exc
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r[elt_code] = {}
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for (col_id, type_res) in col_ids_type:
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r[elt_code][type_res] = e.cols[col_id]
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@ -32,11 +32,8 @@
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Voir sco_apogee_csv.py pour la structure du fichier Apogée.
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Stockage: utilise sco_archive.py
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=> /opt/scodoc/var/scodoc/archives/apo_csv/<dept_id>/2016-1/2016-07-03-16-12-19/V3ASR.csv
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pour une maquette de l'année scolaire 2016, semestre 1, etape V3ASR
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ou bien (à partir de ScoDoc 1678) :
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/opt/scodoc/var/scodoc/archives/apo_csv/<dept_id>/2016-1/2016-07-03-16-12-19/V3ASR!111.csv
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exemple:
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/opt/scodoc-data/archives/apo_csv/<dept_id>/2016-1/2016-07-03-16-12-19/V3ASR!111.csv
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pour une maquette de l'étape V3ASR version VDI 111.
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La version VDI sera ignorée sauf si elle est indiquée dans l'étape du semestre.
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@ -473,6 +473,7 @@ sco_publish(
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"/edit_ue_set_code_apogee",
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sco_edit_ue.edit_ue_set_code_apogee,
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Permission.ScoChangeFormation,
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methods=["POST"],
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)
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sco_publish(
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"/formsemestre_edit_uecoefs",
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@ -1,7 +1,7 @@
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# -*- mode: python -*-
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# -*- coding: utf-8 -*-
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SCOVERSION = "9.2.7"
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SCOVERSION = "9.2.8"
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SCONAME = "ScoDoc"
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@ -204,7 +204,7 @@ class ScoFake(object):
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abbrev=None,
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ects=None,
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code_apogee=None,
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module_type=None,
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module_type=scu.ModuleType.STANDARD,
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) -> int:
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oid = sco_edit_module.do_module_create(locals())
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oids = sco_edit_module.module_list(args={"module_id": oid})
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@ -2,20 +2,15 @@
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Test calcul moyennes UE
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"""
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import numpy as np
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from numpy.lib.nanfunctions import _nanquantile_1d
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import pandas as pd
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from tests.unit import setup
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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 FormSemestre, Evaluation, ModuleImplInscription
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from app.models.etudiants import Identite
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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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from app.scodoc import sco_saisie_notes
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from app.scodoc.sco_codes_parcours import UE_SPORT
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from app.scodoc.sco_utils import NOTES_NEUTRALISE
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from app.scodoc import sco_exceptions
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@ -69,9 +64,20 @@ def test_ue_moy(test_client):
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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)
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# Masque de tous les modules _sauf_ les bonus (sport)
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modimpl_mask = [
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modimpl.module.ue.type != UE_SPORT
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for modimpl in formsemestre.modimpls_sorted
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]
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etuds = formsemestre.etuds.all()
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etud_moy_ue = moy_ue.compute_ue_moys_apc(
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sem_cube, etuds, modimpls, ues, modimpl_inscr_df, modimpl_coefs_df
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sem_cube,
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etuds,
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modimpls,
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ues,
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modimpl_inscr_df,
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modimpl_coefs_df,
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modimpl_mask,
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)
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return etud_moy_ue
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@ -113,8 +119,11 @@ def test_ue_moy(test_client):
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# Recalcule les notes:
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sem_cube, _, _ = moy_ue.notes_sem_load_cube(formsemestre)
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etuds = formsemestre.etuds.all()
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modimpl_mask = [
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modimpl.module.ue.type != UE_SPORT for modimpl in formsemestre.modimpls_sorted
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]
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etud_moy_ue = moy_ue.compute_ue_moys_apc(
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sem_cube, etuds, modimpls, ues, modimpl_inscr_df, modimpl_coefs_df
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sem_cube, etuds, modimpls, ues, modimpl_inscr_df, modimpl_coefs_df, modimpl_mask
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)
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assert etud_moy_ue[ue1.id][etudid] == n1
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assert etud_moy_ue[ue2.id][etudid] == n1
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