OpenClaw
113 lines
4.4 KiB
Python
113 lines
4.4 KiB
Python
#!/usr/bin/env python3
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"""
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Analysiert Sheet 'Tabelle1' - wahrscheinlich das Haupt-Sheet mit aktuellen Daten.
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"""
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import openpyxl
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from datetime import datetime
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datei = "Kopie von Kostenrechnung der Nächsten jahre (3).xlsx"
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wb = openpyxl.load_workbook(datei, data_only=True)
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sheet_name = "Tabelle1"
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ws = wb[sheet_name]
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print(f"=== SHEET: {sheet_name} ===")
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print(f"Max Zeile: {ws.max_row}, Max Spalte: {ws.max_column}")
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# Zeile 1-10: Headers
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print("\n=== HEADER (Zeile 1-10) ===")
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for row_idx in range(1, 11):
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row_data = []
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for col_idx in range(1, 20):
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cell = ws.cell(row=row_idx, column=col_idx)
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val = cell.value
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if val:
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if isinstance(val, str):
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row_data.append((col_idx, val[:40]))
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elif isinstance(val, (int, float)):
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row_data.append((col_idx, f"{val:,.2f}"))
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elif isinstance(val, datetime):
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row_data.append((col_idx, val.strftime("%Y-%m")))
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if row_data:
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print(f"Zeile {row_idx}: {row_data}")
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# Suche nach spezifischen Kreditnamen
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print("\n=== SUCHE NACH KREDITNAMEN ===")
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kredit_namen = ["DSL Bank", "PSD Nord", "Zingelstr", "PVCreditplus", "Sparkasse",
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"Targo", "Köpke", "Kopke", "Restschuld", "Kredit"]
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for row_idx in range(1, min(ws.max_row + 1, 200)):
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for col_idx in range(1, min(ws.max_column + 1, 30)):
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cell = ws.cell(row=row_idx, column=col_idx)
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val = cell.value
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if val and isinstance(val, str):
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for kredit in kredit_namen:
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if kredit.lower() in val.lower():
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# Zeige die Zeile
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row_context = []
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for c in range(1, 15):
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v = ws.cell(row=row_idx, column=c).value
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if v:
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if isinstance(v, str):
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row_context.append(f"{v[:20]}")
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elif isinstance(v, (int, float)):
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row_context.append(f"{v:,.0f}")
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print(f"\nZeile {row_idx}, Spalte {col_idx}: '{val}'")
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print(f" Kontext: {row_context[:8]}")
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# Suche nach großen Geldbeträgen (Restschulden > 1000)
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print("\n=== GROSSE BETRÄGE (> 10000) IN ERSTEN 100 ZEILEN ===")
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gross_betraege = []
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for row_idx in range(1, min(ws.max_row + 1, 100)):
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for col_idx in range(1, min(ws.max_column + 1, 30)):
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cell = ws.cell(row=row_idx, column=col_idx)
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val = cell.value
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if val and isinstance(val, (int, float)) and val > 10000:
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# Suche nach Label
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label = None
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for c in range(1, min(30, ws.max_column + 1)):
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v = ws.cell(row=row_idx, column=c).value
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if v and isinstance(v, str):
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label = v
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break
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gross_betraege.append((row_idx, col_idx, val, label))
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for row, col, val, label in gross_betraege[:20]:
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print(f" Zeile {row}, Spalte {col}: {val:>15,.2f} EUR - Label: {label}")
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# Suche nach den genauen Zielwerten
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print("\n=== SUCHE NACH ZIELWERTEN (Toleranz 500 EUR) ===")
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targets = [
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("DSL Bank", 64656.88),
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("PSD Nord", 50384.50),
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("Zingelstr. 14 DSL", 24382.38),
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("Zingelstr. 14 Sparkasse", 8140.11),
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("PVCreditplus", 1666.53)
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]
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for row_idx in range(1, ws.max_row + 1):
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for col_idx in range(1, min(ws.max_column + 1, 50)):
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val = ws.cell(row=row_idx, column=col_idx).value
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if val and isinstance(val, (int, float)):
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for name, target in targets:
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if abs(val - target) < 500:
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print(f"\n {name}: {val:,.2f} bei Zeile {row_idx}, Spalte {col_idx}")
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# Zeige die Zeile
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row_vals = []
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for c in range(1, 20):
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v = ws.cell(row=row_idx, column=c).value
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if v:
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if isinstance(v, str):
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row_vals.append(f"S{c}:{v[:15]}")
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elif isinstance(v, (int, float)):
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row_vals.append(f"S{c}:{v:,.0f}")
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print(f" Zeile: {row_vals}")
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# Zeige Header
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headers = []
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for c in range(1, 20):
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h = ws.cell(row=1, column=c).value
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if h:
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headers.append(f"S{c}:{str(h)[:15]}")
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print(f" Header: {headers}")
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