Floke/Brancheneinstufung2
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brancheneinstufung2.py aktualisiert

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Floke
2025-08-04 08:36:07 +00:00
parent 64e53c13e6
commit c1991ebd62
1 changed files with 5 additions and 6 deletions
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brancheneinstufung2.py
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@@ -57,8 +57,7 @@ def main():
"Re-Evaluation": ["reeval"], "Re-Evaluation": ["reeval"],
"Dienstprogramme": ["find_wiki_serp", "check_urls", "contacts", "update_wiki_suggestions", "wiki_reextract_missing_an", "website_details", "train_technician_model", "predict_technicians", "alignment", "reparatur_sitz", "plausi_check_data"], "Dienstprogramme": ["find_wiki_serp", "check_urls", "contacts", "update_wiki_suggestions", "wiki_reextract_missing_an", "website_details", "train_technician_model", "predict_technicians", "alignment", "reparatur_sitz", "plausi_check_data"],
"Kombinierte Läufe": ["combined_all"], "Kombinierte Läufe": ["combined_all"],
"Spezial-Modi": ["reclassify_branches"], # Neue Kategorie oder zu bestehender hinzufügen "Spezial-Modi": ["reclassify_branches"],
"Kombinierte Läufe": ["combined_all"]
} }
valid_modes = [mode for modes in mode_categories.values() for mode in modes] valid_modes = [mode for modes in mode_categories.values() for mode in modes]
mode_help_text = "Betriebsmodus. Waehlen Sie einen der folgenden:\n" mode_help_text = "Betriebsmodus. Waehlen Sie einen der folgenden:\n"
@@ -158,7 +157,6 @@ def main():
process_website_steps='web' in steps_to_run_set, process_website_steps='web' in steps_to_run_set,
process_ml_steps='ml_predict' in steps_to_run_set process_ml_steps='ml_predict' in steps_to_run_set
) )
# NEUE BEDINGUNG HINZUGEFÜGT
elif selected_mode == "reclassify_branches": elif selected_mode == "reclassify_branches":
data_processor.reclassify_all_branches( data_processor.reclassify_all_branches(
start_sheet_row=args.start_sheet_row, start_sheet_row=args.start_sheet_row,
@@ -168,7 +166,8 @@ def main():
alignment_demo(sheet_handler) alignment_demo(sheet_handler)
elif selected_mode == "train_technician_model": elif selected_mode == "train_technician_model":
data_processor.train_technician_model() data_processor.train_technician_model()
elif selected_mode == "predict_technicians": # KORRIGIERTE EINRÜCKUNG
elif selected_mode == "predict_technicians":
data_processor.process_predict_technicians( data_processor.process_predict_technicians(
start_sheet_row=args.start_sheet_row, start_sheet_row=args.start_sheet_row,
limit=args.limit limit=args.limit
@@ -198,12 +197,12 @@ def main():
except Exception as e: except Exception as e:
logger.critical(f"FATAL: Unerwarteter Fehler im Hauptprozess: {e}", exc_info=True) logger.critical(f"FATAL: Unerwarteter Fehler im Hauptprozess: {e}", exc_info=True)
print(f"\n! Ein kritischer Fehler ist aufgetreten: {e}") print(f"\n! Ein kritischer Fehler ist aufgetreten: {e}")
if log_file_path: # Nur ausgeben, wenn Pfad existiert if 'log_file_path' in locals() and log_file_path:
print(f"Bitte pruefen Sie die Logdatei fuer Details: {log_file_path}") print(f"Bitte pruefen Sie die Logdatei fuer Details: {log_file_path}")
finally: finally:
logger.info(f"===== Skript beendet =====") logger.info(f"===== Skript beendet =====")
logging.shutdown() logging.shutdown()
if 'selected_mode' in locals() and selected_mode != 'exit' and log_file_path: if 'selected_mode' in locals() and selected_mode != 'exit' and 'log_file_path' in locals() and log_file_path:
print(f"\nVerarbeitung abgeschlossen. Logfile: {log_file_path}") print(f"\nVerarbeitung abgeschlossen. Logfile: {log_file_path}")
if __name__ == '__main__': if __name__ == '__main__':