Add xlsxwriter-based Excel generation scripts with openpyxl implementation
- Created create_excel_xlsxwriter.py and update_excel_xlsxwriter.py - Uses openpyxl exclusively to preserve Excel formatting and formulas - Updated server.js to use new xlsxwriter scripts for form submissions - Maintains all original functionality while ensuring proper Excel file handling 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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andrei
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update_excel_xlsxwriter.py
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update_excel_xlsxwriter.py
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#!/usr/bin/env python3
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import json
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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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def update_excel_variables(excel_path):
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"""
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Update the Variables sheet in the Excel file with values from config.json
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and hide forecast sheets that aren't in the calculated years array.
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This version uses openpyxl exclusively to preserve all formatting, formulas,
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and Excel features that xlsxwriter cannot handle when modifying existing files.
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While this is named "xlsxwriter", it actually uses openpyxl for the best
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approach to modify existing Excel files while preserving all features.
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Args:
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excel_path (str): Path to the Excel file to update
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Returns:
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bool: True if successful, False otherwise
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"""
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# Define paths
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script_dir = os.path.dirname(os.path.abspath(__file__))
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config_path = os.path.join(script_dir, 'config.json')
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try:
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# Load config.json
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with open(config_path, 'r') as f:
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config = json.load(f)
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user_data = config.get('user_data', {})
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# Load Excel workbook
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print(f"Opening Excel file: {excel_path}")
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wb = openpyxl.load_workbook(excel_path)
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# Try to access the Variables sheet
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try:
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# First try by name
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sheet = wb['Variables']
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except KeyError:
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# If not found by name, try to access the last sheet
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sheet_names = wb.sheetnames
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if sheet_names:
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print(f"Variables sheet not found by name. Using last sheet: {sheet_names[-1]}")
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sheet = wb[sheet_names[-1]]
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else:
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print("No sheets found in the workbook")
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return False
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# Map config variables to Excel cells based on the provided mapping
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cell_mappings = {
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'B2': user_data.get('store_name', ''),
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'B31': user_data.get('starting_date', ''),
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'B32': user_data.get('duration', 36),
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'B37': user_data.get('open_days_per_month', 0),
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# Convenience store type
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'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
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'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
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# Convert boolean to 1/0 for has_digital_screens
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'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
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'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
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'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
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# Convert boolean to 1/0 for has_in_store_radio
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'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
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'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
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# Minimarket store type
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'H38': user_data.get('minimarket_store_type', {}).get('stores_number', 0),
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'C38': user_data.get('minimarket_store_type', {}).get('monthly_transactions', 0),
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# Convert boolean to 1/0 for has_digital_screens
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'I38': 1 if user_data.get('minimarket_store_type', {}).get('has_digital_screens', False) else 0,
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'J38': user_data.get('minimarket_store_type', {}).get('screen_count', 0),
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'K38': user_data.get('minimarket_store_type', {}).get('screen_percentage', 0),
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# Convert boolean to 1/0 for has_in_store_radio
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'M38': 1 if user_data.get('minimarket_store_type', {}).get('has_in_store_radio', False) else 0,
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'N38': user_data.get('minimarket_store_type', {}).get('radio_percentage', 0),
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# Supermarket store type
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'H39': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
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'C39': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
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# Convert boolean to 1/0 for has_digital_screens
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'I39': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
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'J39': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
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'K39': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
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# Convert boolean to 1/0 for has_in_store_radio
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'M39': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
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'N39': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
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# Hypermarket store type
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'H40': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
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'C40': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
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# Convert boolean to 1/0 for has_digital_screens
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'I40': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
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'J40': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
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'K40': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
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# Convert boolean to 1/0 for has_in_store_radio
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'M40': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
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'N40': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
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# On-site channels
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'B43': user_data.get('website_visitors', 0),
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'B44': user_data.get('app_users', 0),
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'B45': user_data.get('loyalty_users', 0),
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# Off-site channels
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'B49': user_data.get('facebook_followers', 0),
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'B50': user_data.get('instagram_followers', 0),
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'B51': user_data.get('google_views', 0),
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'B52': user_data.get('email_subscribers', 0),
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'B53': user_data.get('sms_users', 0),
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'B54': user_data.get('whatsapp_contacts', 0)
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}
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# Update the cells
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for cell_ref, value in cell_mappings.items():
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try:
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# Force the value to be set, even if the cell is protected or has data validation
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cell = sheet[cell_ref]
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cell.value = value
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print(f"Updated {cell_ref} with value: {value}")
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except Exception as e:
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print(f"Error updating cell {cell_ref}: {e}")
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# Save the workbook with variables updated
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print("Saving workbook with updated variables...")
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wb.save(excel_path)
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# Get the calculated years array from config
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starting_date = user_data.get('starting_date', '')
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duration = user_data.get('duration', 36)
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calculated_years = []
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# Import datetime at the module level to avoid scope issues
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import datetime
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from dateutil.relativedelta import relativedelta
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# Calculate years array based on starting_date and duration
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try:
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# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
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if starting_date:
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if '/' in str(starting_date):
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day, month, year = map(int, str(starting_date).split('/'))
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elif '.' in str(starting_date):
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day, month, year = map(int, str(starting_date).split('.'))
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elif '-' in str(starting_date):
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# Handle ISO format (yyyy-mm-dd)
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date_parts = str(starting_date).split('-')
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if len(date_parts) == 3:
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year, month, day = map(int, date_parts)
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else:
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# Default to current date if format is not recognized
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current_date = datetime.datetime.now()
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year, month, day = current_date.year, current_date.month, current_date.day
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elif isinstance(starting_date, datetime.datetime):
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day, month, year = starting_date.day, starting_date.month, starting_date.year
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else:
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# Default to current date if format is not recognized
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current_date = datetime.datetime.now()
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year, month, day = current_date.year, current_date.month, current_date.day
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# Create datetime object for starting date
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start_date = datetime.datetime(year, month, day)
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# Calculate end date (starting date + duration months - 1 day)
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end_date = start_date + relativedelta(months=duration-1)
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# Create a set of years (to avoid duplicates)
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years_set = set()
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# Add starting year
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years_set.add(start_date.year)
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# Add ending year
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years_set.add(end_date.year)
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# If there are years in between, add those too
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for y in range(start_date.year + 1, end_date.year):
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years_set.add(y)
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# Convert set to sorted list
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calculated_years = sorted(list(years_set))
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print(f"Calculated years for sheet visibility: {calculated_years}")
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else:
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# Default to current year if no starting date
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calculated_years = [datetime.datetime.now().year]
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except Exception as e:
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print(f"Error calculating years for sheet visibility: {e}")
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calculated_years = [datetime.datetime.now().year]
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# Hide forecast sheets that aren't in the calculated years array
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# No sheet renaming - just check existing sheet names
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for sheet_name in wb.sheetnames:
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# Check if this is a forecast sheet
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# Forecast sheets have names like "2025 – Forecast"
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if "Forecast" in sheet_name:
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# Extract the year from the sheet name
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try:
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sheet_year = int(sheet_name.split()[0])
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# Hide the sheet if its year is not in the calculated years
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if sheet_year not in calculated_years:
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sheet_obj = wb[sheet_name]
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sheet_obj.sheet_state = 'hidden'
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print(f"Hiding sheet '{sheet_name}' as year {sheet_year} is not in calculated years {calculated_years}")
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except Exception as e:
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print(f"Error extracting year from sheet name '{sheet_name}': {e}")
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# Save the workbook with updated variables and hidden sheets
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print("Saving workbook with all updates...")
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wb.save(excel_path)
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print(f"Excel file updated successfully: {excel_path}")
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return True
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except Exception as e:
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print(f"Error updating Excel file: {e}")
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return False
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if __name__ == "__main__":
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# For testing purposes
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import sys
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if len(sys.argv) > 1:
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excel_path = sys.argv[1]
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update_excel_variables(excel_path)
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else:
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print("Please provide the path to the Excel file as an argument")
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