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