forked from ScoDoc/ScoDoc
425 lines
16 KiB
Python
425 lines
16 KiB
Python
##############################################################################
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# ScoDoc
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# Copyright (c) 1999 - 2021 Emmanuel Viennet. All rights reserved.
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# See LICENSE
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##############################################################################
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from collections import defaultdict
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import datetime
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from flask import url_for, g
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import numpy as np
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import pandas as pd
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from app import db
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from app.comp import moy_ue, moy_sem, inscr_mod
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from app.models import ModuleImpl
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from app.scodoc import sco_utils as scu
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from app.scodoc.sco_cache import ResultatsSemestreBUTCache
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from app.scodoc.sco_exceptions import ScoFormatError
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from app.scodoc import sco_preferences
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from app.scodoc.sco_utils import jsnan, fmt_note
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class ResultatsSemestreBUT:
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"""Structure légère pour stocker les résultats du semestre et
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générer les bulletins.
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__init__ : charge depuis le cache ou calcule
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invalidate(): invalide données cachées
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"""
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_cached_attrs = (
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"sem_cube",
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"modimpl_inscr_df",
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"modimpl_coefs_df",
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"etud_moy_ue",
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"modimpls_evals_poids",
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"modimpls_evals_notes",
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"etud_moy_gen",
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"etud_moy_gen_ranks",
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"modimpls_evaluations_complete",
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)
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def __init__(self, formsemestre):
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self.formsemestre = formsemestre
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self.ues = formsemestre.query_ues().all()
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self.modimpls = formsemestre.modimpls.all()
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self.etuds = self.formsemestre.get_inscrits(include_dem=False)
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self.etud_index = {e.id: idx for idx, e in enumerate(self.etuds)}
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self.saes = [
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m for m in self.modimpls if m.module.module_type == scu.ModuleType.SAE
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]
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self.ressources = [
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m for m in self.modimpls if m.module.module_type == scu.ModuleType.RESSOURCE
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]
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if not self.load_cached():
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self.compute()
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self.store()
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def load_cached(self) -> bool:
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"Load cached dataframes, returns False si pas en cache"
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data = ResultatsSemestreBUTCache.get(self.formsemestre.id)
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if not data:
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return False
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for attr in self._cached_attrs:
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setattr(self, attr, data[attr])
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return True
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def store(self):
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"Cache our dataframes"
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ResultatsSemestreBUTCache.set(
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self.formsemestre.id,
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{attr: getattr(self, attr) for attr in self._cached_attrs},
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)
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def compute(self):
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"Charge les notes et inscriptions et calcule toutes les moyennes"
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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_evals_notes,
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modimpls_evaluations,
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self.modimpls_evaluations_complete,
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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, ues=self.ues, modimpls=self.modimpls
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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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self.etud_moy_ue = moy_ue.compute_ue_moys(
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self.sem_cube,
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self.etuds,
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self.modimpls,
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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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)
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self.etud_moy_gen = moy_sem.compute_sem_moys(
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self.etud_moy_ue, self.modimpl_coefs_df
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)
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self.etud_moy_gen_ranks = moy_sem.comp_ranks_series(self.etud_moy_gen)
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def etud_ue_mod_results(self, etud, ue, modimpls) -> dict:
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"dict synthèse résultats dans l'UE pour les modules indiqués"
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d = {}
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etud_idx = self.etud_index[etud.id]
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ue_idx = self.modimpl_coefs_df.index.get_loc(ue.id)
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etud_moy_module = self.sem_cube[etud_idx] # module x UE
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for mi in modimpls:
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coef = self.modimpl_coefs_df[mi.id][ue.id]
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if coef > 0:
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d[mi.module.code] = {
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"id": mi.id,
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"coef": coef,
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"moyenne": fmt_note(
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etud_moy_module[self.modimpl_coefs_df.columns.get_loc(mi.id)][
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ue_idx
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]
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),
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}
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return d
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def etud_ue_results(self, etud, ue):
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"dict synthèse résultats UE"
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d = {
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"id": ue.id,
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"numero": ue.numero,
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"ECTS": {
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"acquis": 0, # XXX TODO voir jury
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"total": ue.ects,
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},
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"competence": None, # XXX TODO lien avec référentiel
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"moyenne": {
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"value": fmt_note(self.etud_moy_ue[ue.id][etud.id]),
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"min": fmt_note(self.etud_moy_ue[ue.id].min()),
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"max": fmt_note(self.etud_moy_ue[ue.id].max()),
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"moy": fmt_note(self.etud_moy_ue[ue.id].mean()),
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},
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"bonus": None, # XXX TODO
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"malus": None, # XXX TODO voir ce qui est ici
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"capitalise": None, # "AAAA-MM-JJ" TODO
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"ressources": self.etud_ue_mod_results(etud, ue, self.ressources),
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"saes": self.etud_ue_mod_results(etud, ue, self.saes),
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}
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return d
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def etud_mods_results(self, etud, modimpls) -> dict:
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"""dict synthèse résultats des modules indiqués,
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avec évaluations de chacun."""
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d = {}
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etud_idx = self.etud_index[etud.id]
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for mi in modimpls:
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mod_idx = self.modimpl_coefs_df.columns.get_loc(mi.id)
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# # moyennes indicatives (moyennes de moyennes d'UE)
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# try:
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# moyennes_etuds = np.nan_to_num(
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# np.nanmean(self.sem_cube[:, mod_idx, :], axis=1),
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# copy=False,
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# )
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# except RuntimeWarning: # all nans in np.nanmean (sur certains etuds sans notes valides)
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# pass
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# try:
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# moy_indicative_mod = np.nanmean(self.sem_cube[etud_idx, mod_idx])
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# except RuntimeWarning: # all nans in np.nanmean
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# pass
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d[mi.module.code] = {
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"id": mi.id,
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"titre": mi.module.titre,
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"code_apogee": mi.module.code_apogee,
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"url": url_for(
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"notes.moduleimpl_status",
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scodoc_dept=g.scodoc_dept,
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moduleimpl_id=mi.id,
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),
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"moyenne": {
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# # moyenne indicative de module: moyenne des UE, ignorant celles sans notes (nan)
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# "value": fmt_note(moy_indicative_mod),
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# "min": fmt_note(moyennes_etuds.min()),
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# "max": fmt_note(moyennes_etuds.max()),
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# "moy": fmt_note(moyennes_etuds.mean()),
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},
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"evaluations": [
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self.etud_eval_results(etud, e)
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for eidx, e in enumerate(mi.evaluations)
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if e.visibulletin
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and self.modimpls_evaluations_complete[mi.id][eidx]
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],
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}
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return d
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def etud_eval_results(self, etud, e) -> dict:
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"dict resultats d'un étudiant à une évaluation"
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eval_notes = self.modimpls_evals_notes[e.moduleimpl_id][e.id] # pd.Series
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notes_ok = eval_notes.where(eval_notes > scu.NOTES_ABSENCE).dropna()
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d = {
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"id": e.id,
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"description": e.description,
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"date": e.jour.isoformat() if e.jour else None,
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"heure_debut": e.heure_debut.strftime("%H:%M") if e.heure_debut else None,
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"heure_fin": e.heure_fin.strftime("%H:%M") if e.heure_debut else None,
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"coef": e.coefficient,
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"poids": {p.ue.acronyme: p.poids for p in e.ue_poids},
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"note": {
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"value": fmt_note(
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self.modimpls_evals_notes[e.moduleimpl_id][e.id][etud.id]
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),
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"min": fmt_note(notes_ok.min()),
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"max": fmt_note(notes_ok.max()),
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"moy": fmt_note(notes_ok.mean()),
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},
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"url": url_for(
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"notes.evaluation_listenotes",
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scodoc_dept=g.scodoc_dept,
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evaluation_id=e.id,
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),
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}
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return d
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def bulletin_etud(self, etud, formsemestre) -> dict:
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"""Le bulletin de l'étudiant dans ce semestre"""
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etat_inscription = etud.etat_inscription(formsemestre.id)
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d = {
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"version": "0",
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"type": "BUT",
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"date": datetime.datetime.utcnow().isoformat() + "Z",
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"etudiant": etud.to_dict_bul(),
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"formation": {
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"id": formsemestre.formation.id,
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"acronyme": formsemestre.formation.acronyme,
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"titre_officiel": formsemestre.formation.titre_officiel,
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"titre": formsemestre.formation.titre,
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},
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"formsemestre_id": formsemestre.id,
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"etat_inscription": etat_inscription,
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"options": bulletin_option_affichage(formsemestre),
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}
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semestre_infos = {
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"etapes": { # XXX TODO
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# à spécifier: liste des étapes Apogée
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},
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"date_debut": formsemestre.date_debut.isoformat(),
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"date_fin": formsemestre.date_fin.isoformat(),
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"annee_universitaire": self.formsemestre.annee_scolaire_str(),
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"inscription": "TODO-MM-JJ", # XXX TODO
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"numero": formsemestre.semestre_id,
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"decision": None, # XXX TODO
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"situation": "non disponible", # "Décision jury: Validé. Diplôme obtenu.", # XXX TODO
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"date_jury": "AAAA-MM-JJ", # XXX TODO
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"groupes": [], # XXX TODO
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"absences": { # XXX TODO
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"injustifie": 1,
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"total": 33,
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},
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}
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if etat_inscription == scu.INSCRIT:
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semestre_infos.update(
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{
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"notes": { # moyenne des moyennes générales du semestre
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"value": fmt_note(self.etud_moy_gen[etud.id]),
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"min": fmt_note(self.etud_moy_gen.min()),
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"moy": fmt_note(self.etud_moy_gen.mean()),
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"max": fmt_note(self.etud_moy_gen.max()),
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},
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"rang": { # classement wrt moyenne général, indicatif
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"value": self.etud_moy_gen_ranks[etud.id],
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"total": len(self.etuds),
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},
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},
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)
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d.update(
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{
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"ressources": self.etud_mods_results(etud, self.ressources),
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"saes": self.etud_mods_results(etud, self.saes),
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"ues": {
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ue.acronyme: self.etud_ue_results(etud, ue) for ue in self.ues
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},
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"semestre": semestre_infos,
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},
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)
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else:
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semestre_infos.update(
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{
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"notes": {
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"value": "DEM",
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"min": "",
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"moy": "",
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"max": "",
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},
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"rang": {"value": "DEM", "total": len(self.etuds)},
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}
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)
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d.update(
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{
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"semestre": semestre_infos,
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"ressources": {},
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"saes": {},
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"ues": {},
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}
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)
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return d
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def bulletin_option_affichage(formsemestre):
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"dict avec les options d'affichages (préférences) pour ce semestre"
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prefs = sco_preferences.SemPreferences(formsemestre.id)
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fields = (
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"bul_show_abs",
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"bul_show_abs_modules",
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"bul_show_ects",
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"bul_show_codemodules",
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"bul_show_matieres",
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"bul_show_rangs",
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"bul_show_ue_rangs",
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"bul_show_mod_rangs",
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"bul_show_moypromo",
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"bul_show_minmax",
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"bul_show_minmax_mod",
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"bul_show_minmax_eval",
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"bul_show_coef",
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"bul_show_ue_cap_details",
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"bul_show_ue_cap_current",
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"bul_show_temporary",
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"bul_temporary_txt",
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"bul_show_uevalid",
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"bul_show_date_inscr",
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)
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# on enlève le "bul_" de la clé:
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return {field[4:]: prefs[field] for field in fields}
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# Pour raccorder le code des anciens bulletins qui attendent une NoteTable
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class APCNotesTableCompat:
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"""Implementation partielle de NotesTable pour les formations APC
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Accès aux notes et rangs.
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"""
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def __init__(self, formsemestre):
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self.results = ResultatsSemestreBUT(formsemestre)
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nb_etuds = len(self.results.etuds)
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self.rangs = self.results.etud_moy_gen_ranks
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self.moy_min = self.results.etud_moy_gen.min()
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self.moy_max = self.results.etud_moy_gen.max()
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self.moy_moy = self.results.etud_moy_gen.mean()
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self.bonus = defaultdict(lambda: 0.0) # XXX
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self.ue_rangs = {
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u.id: (defaultdict(lambda: 0.0), nb_etuds) for u in self.results.ues
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}
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self.mod_rangs = {
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m.id: (defaultdict(lambda: 0), nb_etuds) for m in self.results.modimpls
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}
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def get_ues(self):
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ues = []
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for ue in self.results.ues:
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d = ue.to_dict()
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d.update(
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{
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"max": self.results.etud_moy_ue[ue.id].max(),
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"min": self.results.etud_moy_ue[ue.id].min(),
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"moy": self.results.etud_moy_ue[ue.id].mean(),
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"nb_moy": len(self.results.etud_moy_ue),
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}
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)
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ues.append(d)
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return ues
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def get_modimpls(self):
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return [m.to_dict() for m in self.results.modimpls]
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def get_etud_moy_gen(self, etudid):
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return self.results.etud_moy_gen[etudid]
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def get_moduleimpls_attente(self):
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return [] # XXX TODO
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def get_etud_rang(self, etudid):
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return self.rangs[etudid]
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def get_etud_rang_group(self, etudid, group_id):
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return (None, 0) # XXX unimplemented TODO
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def get_etud_ue_status(self, etudid, ue_id):
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return {
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"cur_moy_ue": self.results.etud_moy_ue[ue_id][etudid],
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"is_capitalized": False, # XXX TODO
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}
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def get_etud_mod_moy(self, moduleimpl_id, etudid):
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mod_idx = self.results.modimpl_coefs_df.columns.get_loc(moduleimpl_id)
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etud_idx = self.results.etud_index[etudid]
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# moyenne sur les UE:
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self.results.sem_cube[etud_idx, mod_idx].mean()
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def get_mod_stats(self, moduleimpl_id):
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return {
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"moy": "-",
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"max": "-",
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"min": "-",
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"nb_notes": "-",
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"nb_missing": "-",
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"nb_valid_evals": "-",
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}
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def get_evals_in_mod(self, moduleimpl_id):
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mi = ModuleImpl.query.get(moduleimpl_id)
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evals_results = []
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for e in mi.evaluations:
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d = e.to_dict()
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d["heure_debut"] = e.heure_debut # datetime.time
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d["heure_fin"] = e.heure_fin
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d["jour"] = e.jour # datetime
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d["notes"] = {
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etud.id: {
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"etudid": etud.id,
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"value": self.results.modimpls_evals_notes[e.moduleimpl_id][e.id][
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etud.id
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],
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}
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for etud in self.results.etuds
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}
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evals_results.append(d)
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return evals_results
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