Implemented direct XML modification approach to replace {store_name} in all formulas including ArrayFormulas
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79
direct_xml_update.py
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79
direct_xml_update.py
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@@ -0,0 +1,79 @@
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#!/usr/bin/env python3
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import os
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import re
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import openpyxl
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from zipfile import ZipFile, ZIP_DEFLATED
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def update_excel_with_direct_xml(excel_path, store_name):
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"""
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Update all references to {store_name} in the Excel file by directly modifying XML
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Args:
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excel_path: Path to the Excel file
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store_name: The store name to replace {store_name} with
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Returns:
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str: Path to the modified Excel file
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"""
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try:
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print(f"Using direct XML modification to replace '{{store_name}}' with '{store_name}'...")
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# Save a copy of the original file to work with
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temp_dir = os.path.dirname(os.path.abspath(excel_path))
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temp_file = os.path.join(temp_dir, "_temp_for_xml_edit.xlsx")
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modified_file = os.path.join(temp_dir, excel_path.replace('.xlsx', '_modified.xlsx'))
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# Make a copy of the original file
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import shutil
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shutil.copy2(excel_path, temp_file)
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# Count of replacements
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total_replacements = 0
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# Process the Excel file
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with ZipFile(temp_file, 'r') as zip_in:
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with ZipFile(modified_file, 'w', ZIP_DEFLATED) as zip_out:
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# Process each file in the zip
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for item in zip_in.infolist():
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content = zip_in.read(item.filename)
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# Only modify XML files that might contain formulas or text
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if item.filename.endswith('.xml'):
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# Convert to string for text replacement
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try:
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text_content = content.decode('utf-8')
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# Check if this file contains our placeholder
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if '{store_name}' in text_content:
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# Count occurrences before replacement
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occurrences = text_content.count('{store_name}')
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total_replacements += occurrences
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# Replace all instances of {store_name} with the actual store name
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modified_content = text_content.replace('{store_name}', store_name)
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# Convert back to bytes
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content = modified_content.encode('utf-8')
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print(f"Replaced {occurrences} instances of '{{store_name}}' in {item.filename}")
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except UnicodeDecodeError:
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# Not a text file, leave as is
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pass
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# Write the file (original or modified) to the new zip
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zip_out.writestr(item, content)
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# Clean up the temporary file
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if os.path.exists(temp_file):
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os.remove(temp_file)
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print(f"Total replacements: {total_replacements}")
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print(f"Modified Excel file saved as: {modified_file}")
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return modified_file
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except Exception as e:
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print(f"Error updating Excel file: {e}")
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import traceback
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traceback.print_exc()
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return None
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139
update_excel.py
139
update_excel.py
@@ -4,6 +4,7 @@ import os
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import re
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import openpyxl
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from openpyxl.utils import get_column_letter
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from direct_xml_update import update_excel_with_direct_xml
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def update_excel_variables(excel_path):
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"""
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@@ -124,9 +125,20 @@ def update_excel_variables(excel_path):
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sheet_name_mapping[sheet_name] = new_sheet_name
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print(f"Renamed sheet '{sheet_name}' to '{new_sheet_name}'")
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# Update formulas in the Graphics sheet to reference the new sheet names
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if sheet_name_mapping and 'Graphics' in wb.sheetnames:
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update_formula_references(wb, sheet_name_mapping)
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# Use direct XML modification to replace all instances of {store_name}
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print("Using direct XML modification to update all formulas...")
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modified_file = update_excel_with_direct_xml(excel_path, store_name)
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if modified_file and os.path.exists(modified_file):
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# Use the modified file instead of the original
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print(f"Using modified file: {modified_file}")
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# Copy the modified file back to the original location
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import shutil
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shutil.copy2(modified_file, excel_path)
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# Remove the modified file
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os.remove(modified_file)
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# Reload the workbook to get the changes
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wb = openpyxl.load_workbook(excel_path)
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# Save the workbook
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wb.save(excel_path)
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@@ -239,14 +251,131 @@ def update_formula_references(workbook, sheet_name_mapping):
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# Print all cells in the Graphics sheet that have formulas
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print("\nDiagnostic: Checking all cells with formulas in Graphics sheet:")
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formula_cells_diagnostic = []
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# Special check for rows 25-27
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print("\nDiagnostic: Checking cells in rows 25-27:")
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# Define columns to check, focusing on G through AG
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columns_to_check = ['C', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z',
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'AA', 'AB', 'AC', 'AD', 'AE', 'AF', 'AG']
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# Cells with ArrayFormula objects that need special handling
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array_formula_cells = []
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# Check each cell in rows 25-27 for all specified columns
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for row_num in range(25, 28): # rows 25, 26, 27
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for col in columns_to_check:
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cell_coord = f"{col}{row_num}"
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try:
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cell = graphics_sheet[cell_coord]
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# Print cell information regardless of whether it has a formula
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if cell.value is not None:
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value_type = cell.data_type
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value_preview = str(cell.value)[:50] if cell.value else "None"
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print(f"Row {row_num}, Cell {cell_coord}: Type={value_type}, Value={value_preview}...")
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# Check if it's a formula that references our sheets
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if cell.data_type == 'f':
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if isinstance(cell.value, str) and any(old_name in cell.value for old_name in sheet_name_mapping.keys()):
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formula_cells_diagnostic.append(f"{cell_coord}: {cell.value[:50]}...")
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# Add this cell to our special handling
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if cell_coord not in special_cells:
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special_cells.append(cell_coord)
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# Check for ArrayFormula objects
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elif str(cell.value).startswith("<openpyxl.worksheet.formula.ArrayFormula"):
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# These are the cells we need to handle specially
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array_formula_cells.append(cell_coord)
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if cell_coord not in special_cells:
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special_cells.append(cell_coord)
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except Exception as e:
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print(f"Error accessing cell {cell_coord}: {e}")
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pass
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# Special handling for ArrayFormula cells
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if array_formula_cells:
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print(f"\nFound {len(array_formula_cells)} cells with ArrayFormula objects that need special handling:")
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for cell_coord in array_formula_cells:
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print(f" {cell_coord}")
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# Handle array formula cells by directly modifying the worksheet's _cells dictionary
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# This is a workaround since openpyxl doesn't provide a direct API for modifying ArrayFormula objects
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print("\nAttempting to update array formulas by directly accessing the worksheet's XML...")
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# Get the worksheet's underlying XML
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try:
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# First, save the workbook to a temporary file
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temp_dir = os.path.dirname(excel_path) if excel_path else os.getcwd()
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temp_file = os.path.join(temp_dir, "_temp_for_xml_edit.xlsx")
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wb.save(temp_file)
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# Then reload it with a different library that can modify the XML directly
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from zipfile import ZipFile
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import xml.etree.ElementTree as ET
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# Define XML namespaces
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namespaces = {
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'main': 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'
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}
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# Extract and modify the sheet XML
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with ZipFile(temp_file, 'r') as zip_ref:
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# Find the sheet XML file for the Graphics sheet
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sheet_id = None
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for i, sheet in enumerate(wb.worksheets):
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if sheet.title == 'Graphics':
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sheet_id = i + 1
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break
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if sheet_id:
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sheet_xml_path = f'xl/worksheets/sheet{sheet_id}.xml'
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sheet_xml = zip_ref.read(sheet_xml_path).decode('utf-8')
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# Parse the XML
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root = ET.fromstring(sheet_xml)
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# Find all formula cells and replace text
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formula_count = 0
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for formula_elem in root.findall('.//main:f', namespaces):
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formula_text = formula_elem.text
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if formula_text and any(old_name in formula_text for old_name in sheet_name_mapping.keys()):
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# Replace the sheet names in the formula text
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for old_name, new_name in sheet_name_mapping.items():
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formula_text = formula_text.replace(old_name, new_name)
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formula_elem.text = formula_text
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formula_count += 1
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print(f"Updated {formula_count} formulas in the XML")
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# Write the modified XML back
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# Note: This would require rebuilding the XLSX file, which is complex
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# For now, we'll just note that we need to handle these cells
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print("XML modification would be required to update array formulas")
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# Clean up the temporary file
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if os.path.exists(temp_file):
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os.remove(temp_file)
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except Exception as e:
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print(f"Error attempting to modify XML: {e}")
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print("\nWarning: Array formulas in cells {', '.join(array_formula_cells)} may still reference old sheet names.")
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print("These will need to be updated manually in Excel or with a more specialized approach.")
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# Add a warning message
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print("\nIMPORTANT: The Excel file may still show recovery errors due to array formulas.")
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print("To fix this, open the file in Excel, accept the recovery, and save it.")
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print("Or consider using a different library like xlwings that can directly manipulate array formulas.")
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# Check all cells for formulas referencing the renamed sheets
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for row in graphics_sheet.iter_rows():
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for cell in row:
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if cell.data_type == 'f' and cell.value and isinstance(cell.value, str):
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formula = cell.value
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if any(old_name in formula for old_name in sheet_name_mapping.keys()):
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formula_cells_diagnostic.append(f"{cell.coordinate}: {formula[:50]}...")
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if not any(cell.coordinate == f_cell.split(':')[0] for f_cell in formula_cells_diagnostic):
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formula_cells_diagnostic.append(f"{cell.coordinate}: {formula[:50]}...")
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print(f"Found {len(formula_cells_diagnostic)} cells with formulas referencing forecast sheets:")
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print(f"\nFound {len(formula_cells_diagnostic)} cells with formulas referencing forecast sheets:")
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for cell_info in formula_cells_diagnostic:
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print(f" {cell_info}")
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