Initial commit - Stand 26.04.2026

2026-04-26 07:51:39 +02:00
commit b29c467187
186 changed files with 39281 additions and 0 deletions
@@ -0,0 +1,80 @@
+import openpyxl
+import json
+
+wb = openpyxl.load_workbook('Nebenkosten 2020.xlsx', data_only=True)
+
+all_data = []
+
+for sheet in wb.sheetnames:
+    ws = wb[sheet]
+    
+    year = None
+    for y in ['2020', '2021', '2022', '2023', '2024']:
+        if y in sheet:
+            year = int(y)
+            break
+    
+    if not year:
+        continue
+    
+    mieter = None
+    address = None
+    
+    for row in ws.iter_rows(min_row=1, max_row=15, values_only=True):
+        for cell in row:
+            if cell and isinstance(cell, str):
+                if 'Zingelstr. 14' in cell:
+                    address = 'Zingelstr. 14'
+                elif 'Zingelstr. 7' in cell or 'Zingelstr.7' in cell:
+                    address = 'Zingelstr. 7'
+                elif 'Ahornweg 6' in cell:
+                    address = 'Ahornweg 6'
+                
+                if 'Krohn' in cell and 'Welling' in cell:
+                    mieter = 'Johanna Krohn / Tobias Welling'
+                elif 'Körger' in cell or 'K�rger' in cell:
+                    mieter = 'Kevin Körger'
+                elif 'Brandt' in cell and 'Yvonne' in cell:
+                    mieter = 'Yvonne Brandt'
+    
+    if not mieter or not address:
+        continue
+    
+    positions = {}
+    for row in ws.iter_rows(min_row=7, max_row=30, values_only=True):
+        if not row or not row[0]:
+            continue
+        
+        pos_name = str(row[0]).strip()
+        
+        betrag = None
+        if len(row) > 10 and row[10] and isinstance(row[10], (int, float)):
+            betrag = round(row[10], 2)
+        elif len(row) > 5 and row[5] and isinstance(row[5], (int, float)):
+            betrag = round(row[5], 2)
+        
+        if betrag:
+            positions[pos_name] = betrag
+    
+    all_data.append({
+        'sheet': sheet,
+        'year': year,
+        'mieter': mieter,
+        'address': address,
+        'positions': positions
+    })
+
+zingelstr14 = [d for d in all_data if d['address'] == 'Zingelstr. 14']
+
+print('=== DATEN FUER ZINGELSTR. 14 ===')
+for d in zingelstr14:
+    print(f"\n{d['sheet']}: {d['mieter']} ({d['year']})")
+    print(f"  Positionen: {len(d['positions'])}")
+    for pos, val in d['positions'].items():
+        print(f"    - {pos}: {val}")
+
+with open('nebenkosten_zingelstr14.json', 'w', encoding='utf-8') as f:
+    json.dump(zingelstr14, f, indent=2, ensure_ascii=False)
+
+print(f"\nGesamt: {len(zingelstr14)} Eintraege")
+print('Gespeichert in nebenkosten_zingelstr14.json')