modified: excel_to_json.py

renamed:    exel_datein/2024/06/Tagesbericht Beispiel.xlsx -> exel_datein/2024/06/13.xlsx
	new file:   exel_datein/2024/09/4.xlsx

excel_to_json.py

@@ -4,24 +4,27 @@ import os
 import re
 
 root_dir = "exel_datein"
-date_pattern = re.compile(r'(\d{4})[\\/](\d{2})')
+# Passe das Pattern an: Jahr/Monat/Tag
+date_pattern = re.compile(r'(\d{4})[\\/](\d{2})[\\/](\d{1,2})')
 
 all_notes = []
 
 for dirpath, _, filenames in os.walk(root_dir):
-    match = date_pattern.search(dirpath)
-    if not match:
-        continue
-    jahr, monat = match.groups()
     for filename in filenames:
         if filename.lower().endswith(('.xlsx', '.xls')):
             excel_path = os.path.join(dirpath, filename)
+            # Versuche, Jahr, Monat und Tag aus dem Pfad zu extrahieren
+            match = date_pattern.search(excel_path)
+            if match:
+                jahr, monat, tag = match.groups()
+            else:
+                jahr = monat = tag = "unbekannt"
             try:
                 df = pd.read_excel(excel_path, sheet_name=0, usecols=[0, 1], names=["Kunde", "Info"])
                 df = df.dropna(subset=["Kunde", "Info"])
                 for _, row in df.iterrows():
-                    # Format: Kunde: Info (Jahr: xxxx, Monat: xx)
-                    note = f"{row['Kunde']}: {row['Info']} (Jahr: {jahr}, Monat: {monat})"
+                    # Format: Kunde: Info (Jahr: xxxx, Monat: xx, Tag: xx)
+                    note = f"{row['Kunde']}: {row['Info']} (Jahr: {jahr}, Monat: {monat}, Tag: {tag})"
                     all_notes.append(note)
                 print(f"Verarbeitet: {excel_path}")
             except Exception as e: