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sync_manager.py aktualisiert

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Floke
2025-08-28 14:22:48 +00:00
parent 59ffa4122b
commit 7eeba8d771
1 changed files with 2 additions and 5 deletions
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sync_manager.py
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@@ -86,7 +86,6 @@ class SyncManager:
"""Lädt und bereitet die Daten aus D365 und Google Sheets vor.""" """Lädt und bereitet die Daten aus D365 und Google Sheets vor."""
self.logger.info(f"Lade Daten aus D365-Export: '{self.d365_export_path}'...") self.logger.info(f"Lade Daten aus D365-Export: '{self.d365_export_path}'...")
try: try:
# D365 wird bereits typsicher als String geladen, das ist korrekt.
temp_d365_df = pd.read_excel(self.d365_export_path, dtype=str).fillna('') temp_d365_df = pd.read_excel(self.d365_export_path, dtype=str).fillna('')
for d365_col in self.d365_to_gsheet_map.keys(): for d365_col in self.d365_to_gsheet_map.keys():
if d365_col not in temp_d365_df.columns: if d365_col not in temp_d365_df.columns:
@@ -101,9 +100,8 @@ class SyncManager:
self.logger.info("Lade bestehende Daten aus dem Google Sheet...") self.logger.info("Lade bestehende Daten aus dem Google Sheet...")
try: try:
# --- TYPSICHeres LADEN AUS GSHEET --- # --- KORREKTUR DES API-PARAMETERS ---
# 1. Lade alle Werte mit der Option, sie als rohen TEXT zu formatieren. all_data_with_headers = self.sheet_handler.sheet.get_all_values(value_render_option='FORMATTED_VALUE')
all_data_with_headers = self.sheet_handler.sheet.get_all_values(value_render_option='FORMATTED_STRING')
if not all_data_with_headers or len(all_data_with_headers) < self.sheet_handler._header_rows: 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).fillna('')
@@ -113,7 +111,6 @@ class SyncManager:
temp_df = pd.DataFrame(data_rows) temp_df = pd.DataFrame(data_rows)
if not temp_df.empty: if not temp_df.empty:
# Spaltenanzahl an Header anpassen
num_cols_to_match = len(actual_header) num_cols_to_match = len(actual_header)
if temp_df.shape[1] > num_cols_to_match: if temp_df.shape[1] > num_cols_to_match:
temp_df = temp_df.iloc[:, :num_cols_to_match] temp_df = temp_df.iloc[:, :num_cols_to_match]