2024-02-08 22:09:11 +01:00
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##############################################################################
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# Module "Avis de poursuite d'étude"
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# conçu et développé par Cléo Baras (IUT de Grenoble)
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##############################################################################
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"""Affichages, debug
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"""
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2024-02-11 22:06:37 +01:00
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from flask import g
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2024-01-27 08:22:36 +01:00
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from app import log
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2024-02-26 10:29:45 +01:00
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PE_DEBUG = True
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2024-01-27 08:22:36 +01:00
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2024-02-02 11:49:24 +01:00
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2024-02-11 22:06:37 +01:00
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# On stocke les logs PE dans g.scodoc_pe_log
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# pour ne pas modifier les nombreux appels à pe_print.
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def pe_start_log() -> list[str]:
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"Initialize log"
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g.scodoc_pe_log = []
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return g.scodoc_pe_log
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def pe_print(*a):
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"Log (or print in PE_DEBUG mode) and store in g"
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if PE_DEBUG:
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2024-02-14 17:00:05 +01:00
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msg = " ".join(a)
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2024-02-11 22:06:37 +01:00
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print(msg)
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else:
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2024-02-14 17:00:05 +01:00
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lines = getattr(g, "scodoc_pe_log")
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if lines is None:
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lines = pe_start_log()
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msg = " ".join(a)
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lines.append(msg)
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2024-02-11 22:06:37 +01:00
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log(msg)
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def pe_get_log() -> str:
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"Renvoie une chaîne avec tous les messages loggués"
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return "\n".join(getattr(g, "scodoc_pe_log", []))
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2024-01-25 17:17:01 +01:00
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2024-02-02 06:11:21 +01:00
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# Affichage dans le tableur pe en cas d'absence de notes
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SANS_NOTE = "-"
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2024-02-26 10:29:45 +01:00
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def aff_profil_coeffs(matrice_coeffs_moy_gen, with_index=False):
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"""Affiche les différents types de coefficients (appelés profil)
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d'une matrice_coeffs_moy_gen (pour debug)
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"""
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# Les profils des coeffs d'UE (pour debug)
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profils = []
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index_a_profils = {}
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for i in matrice_coeffs_moy_gen.index:
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val = matrice_coeffs_moy_gen.loc[i].fillna("-")
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val = " | ".join([str(v) for v in val])
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if val not in profils:
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profils += [val]
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index_a_profils[val] = [str(i)]
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else:
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index_a_profils[val] += [str(i)]
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# L'affichage
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if len(profils) > 1:
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if with_index:
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elmts = [
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" " * 10
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+ prof
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+ " (par ex. "
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+ ", ".join(index_a_profils[prof][:10])
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+ ")"
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for prof in profils
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]
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else:
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elmts = [" " * 10 + prof for prof in profils]
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profils_aff = "\n" + "\n".join(elmts)
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else:
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profils_aff = "\n".join(profils)
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pe_print(
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f" > Moyenne calculée avec pour coeffs (de compétences) : {profils_aff}"
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)
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