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')