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sync_manager.py aktualisiert

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Floke
2025-08-28 18:04:19 +00:00
parent 8fee4f7568
commit a77ae96549
1 changed files with 14 additions and 8 deletions
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22
sync_manager.py
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@@ -101,23 +101,29 @@ class SyncManager:
self.logger.info("Lade bestehende Daten aus dem Google Sheet...")
try:
all_data_with_headers = self.sheet_handler.get_all_data_with_headers()
if not all_data_with_headers or len(all_data_with_headers) < self.sheet_handler._header_rows:
self.gsheet_df = pd.DataFrame(columns=COLUMN_ORDER).fillna('')
self.gsheet_df = pd.DataFrame(columns=COLUMN_ORDER)
else:
actual_header = all_data_with_headers[self.sheet_handler._header_rows - 1]
data_rows_raw = all_data_with_headers[self.sheet_handler._header_rows:]
data_rows = all_data_with_headers[self.sheet_handler._header_rows:]
# --- HOLZHAMMER-METHODE: JEDE ZELLE ZU STRING KONVERTIEREN ---
data_rows_as_string = [[str(cell) for cell in row] for row in data_rows_raw]
temp_df = pd.DataFrame(data_rows_as_string, columns=actual_header)
# --- FINALER DATAFRAME-ERSTELLUNGS-FIX ---
# Wir erstellen das DataFrame aus einem Dictionary, das ist am robustesten.
data_dict = {header_col: [] for header_col in actual_header}
for row in data_rows:
for i, header_col in enumerate(actual_header):
# Fülle fehlende Werte auf, wenn eine Zeile zu kurz ist
value = row[i] if i < len(row) else ''
data_dict[header_col].append(str(value)) # Sofort zu String konvertieren
temp_df = pd.DataFrame(data_dict)
for col_name in COLUMN_ORDER:
if col_name not in temp_df.columns:
temp_df[col_name] = ''
self.gsheet_df = temp_df[COLUMN_ORDER].fillna('')
self.gsheet_df = temp_df[COLUMN_ORDER]
except Exception as e:
self.logger.critical(f"Fehler beim Laden/Umwandeln der GSheet-Daten: {e}", exc_info=True)
return False