pHagen/UCS_Import_Python
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log Einträge gekürzt

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This commit is contained in:
Patrick vom Hagen
2024-03-05 11:22:48 +01:00
parent a8b4695413
commit 21963efb39
2 changed files with 20 additions and 23 deletions
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26
main.py
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@@ -38,7 +38,7 @@ ox_quota_sus = 5120 # oxUserQuota LuL
if __name__ == "__main__":
# Erstellt oder löscht Inhalte vorhandener Logdatei und loggt Konsolenausgaben
log_file_path = 'log.txt'
log_file_path = 'output/log.txt'
if os.path.exists(log_file_path):
open(log_file_path, 'w').close()
sys.stdout = Logger.Logger(log_file_path)
@@ -48,17 +48,16 @@ if __name__ == "__main__":
# ----------------------------------------------------------------- #
# Step 1 - Dateien wählen, formatieren, einlesen | Variablen setzen #
print("Step1: Listen einlesen\n")
# ToDo Daten mit UI einlesen
# lehrer_liste_neu = "./Data/SaM/export_lehrer_SaM.csv"
lehrer_liste_neu = "./Data/GKS/exportLuL.csv"
lehrer_liste_system = "./Data//GKS/systemLuL.csv"
lul_out_path = './Data/outputLehrer.csv'
lul_out_path = 'output/outputLehrer.csv'
schueler_liste_neu = "./Data/GKS/exportSuS.csv"
schueler_liste_system = "./Data/GKS/systemSuS.csv"
sus_out_path = './Data/outputSchueler.csv'
sus_out_path = 'output/outputSchueler.csv'
# Variablen füllen:
if not dev:
@@ -87,33 +86,22 @@ if __name__ == "__main__":
# ---------------------------------------------------- #
# Step 2 - auf name, vorname reduzieren und abgleichen #
print("\nStep2: Listen abgleichen")
print("\n Lehrer:innen:")
lul_matched, new_lul = step2.compare_data(lul_new, lul_sys)
print("\n Schüler:innen:")
sus_matched, new_sus = step2.compare_data(sus_new, sus_sys,)
print("\nStep2: Abgleich abgeschlossen! \n")
# ----------------------------------------------------------------------------------------#
# Step 3 - Import Data generieren - klasse, uuids, weiteres in einer Liste zusammenführen #
# Lul: Namen + UUIDs + Testuser
lul_import = step3.merch_uuids(new_lul, lul_matched, dev)
lul_import = step3.add_school_data(lul_import, school_id, ox_context, mail_quota_lul, ox_quota_lul)
lul_import = pd.concat([lul_import, lul_testuser_df], ignore_index=True)
print(f"{len(lul_testuser_df)} Testuser angefügt - {len(lul_import)} Einträge in LuL Liste")
lul_import.to_csv(lul_out_path, sep=';', index=False)
print(f"LuL Import CSV unter {lul_out_path} erfolgreich erstellt!")
step3.create_output_list('LuL', new_lul, lul_matched, dev, school_id, ox_context,
mail_quota_lul, ox_quota_lul, lul_testuser_df, lul_out_path)
# SuS: Namen + UUIDs + Klassen + Testuser
sus_import = step3.merch_uuids(new_sus, sus_matched, dev)
sus_import = step3.add_school_data(sus_import, school_id, ox_context, mail_quota_sus, ox_quota_sus)
sus_import = pd.concat([sus_import, sus_testuser_df], ignore_index=True)
print(f"{len(sus_testuser_df)} Testuser angefügt - {len(sus_import)} Einträge in SuS Liste")
sus_import.to_csv(sus_out_path, sep=';', index=False)
print(f"SuS Import CSV unter {sus_out_path} erfolgreich erstellt!")
print("\nImport Script beendet.")
step3.create_output_list('SuS', new_sus, sus_matched, dev, school_id, ox_context,
mail_quota_sus, ox_quota_sus, sus_testuser_df, sus_out_path)
# Log Datei fertig - Ausgang schließen
sys.stdout = sys.__stdout__