174 lines
7.9 KiB
Python
Executable File
174 lines
7.9 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
import json
|
|
import os
|
|
import re
|
|
import openpyxl
|
|
from openpyxl.utils import get_column_letter
|
|
from direct_xml_update import update_excel_with_direct_xml
|
|
|
|
def update_excel_variables(excel_path):
|
|
"""
|
|
Update the Variables sheet in the Excel file with values from config.json
|
|
|
|
Args:
|
|
excel_path (str): Path to the Excel file to update
|
|
|
|
Returns:
|
|
bool: True if successful, False otherwise
|
|
"""
|
|
# Define paths
|
|
script_dir = os.path.dirname(os.path.abspath(__file__))
|
|
config_path = os.path.join(script_dir, 'config.json')
|
|
|
|
try:
|
|
# Load config.json
|
|
with open(config_path, 'r') as f:
|
|
config = json.load(f)
|
|
user_data = config.get('user_data', {})
|
|
|
|
# Load Excel workbook
|
|
print(f"Opening Excel file: {excel_path}")
|
|
wb = openpyxl.load_workbook(excel_path)
|
|
|
|
# Try to access the Variables sheet
|
|
try:
|
|
# First try by name
|
|
sheet = wb['Variables']
|
|
except KeyError:
|
|
# If not found by name, try to access the last sheet
|
|
sheet_names = wb.sheetnames
|
|
if sheet_names:
|
|
print(f"Variables sheet not found by name. Using last sheet: {sheet_names[-1]}")
|
|
sheet = wb[sheet_names[-1]]
|
|
else:
|
|
print("No sheets found in the workbook")
|
|
return False
|
|
|
|
# Map config variables to Excel cells based on the provided mapping
|
|
cell_mappings = {
|
|
'B2': user_data.get('store_name', ''),
|
|
'B31': user_data.get('starting_date', ''),
|
|
'B32': user_data.get('duration', 36),
|
|
'B37': user_data.get('open_days_per_month', 0),
|
|
|
|
# Convenience store type
|
|
'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
|
|
'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
|
|
# Convert boolean to 1/0 for has_digital_screens
|
|
'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
|
|
'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
|
|
'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
|
|
# Convert boolean to 1/0 for has_in_store_radio
|
|
'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
|
|
'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
|
|
|
|
# Supermarket store type
|
|
'H38': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
|
|
'C38': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
|
|
# Convert boolean to 1/0 for has_digital_screens
|
|
'I38': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
|
'J38': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
|
|
'K38': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
|
|
# Convert boolean to 1/0 for has_in_store_radio
|
|
'M38': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
|
'N38': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
|
|
|
|
# Hypermarket store type
|
|
'H39': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
|
|
'C39': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
|
|
# Convert boolean to 1/0 for has_digital_screens
|
|
'I39': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
|
'J39': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
|
|
'K39': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
|
|
# Convert boolean to 1/0 for has_in_store_radio
|
|
'M39': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
|
'N39': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
|
|
|
|
# On-site channels
|
|
'B43': user_data.get('website_visitors', 0),
|
|
'B44': user_data.get('app_users', 0),
|
|
'B45': user_data.get('loyalty_users', 0),
|
|
|
|
# Off-site channels
|
|
'B49': user_data.get('facebook_followers', 0),
|
|
'B50': user_data.get('instagram_followers', 0),
|
|
'B51': user_data.get('google_views', 0),
|
|
'B52': user_data.get('email_subscribers', 0),
|
|
'B53': user_data.get('sms_users', 0),
|
|
'B54': user_data.get('whatsapp_contacts', 0)
|
|
}
|
|
|
|
# Update the cells
|
|
for cell_ref, value in cell_mappings.items():
|
|
try:
|
|
sheet[cell_ref] = value
|
|
print(f"Updated {cell_ref} with value: {value}")
|
|
except Exception as e:
|
|
print(f"Error updating cell {cell_ref}: {e}")
|
|
|
|
# Update sheet names - replace {store_name} with actual store name
|
|
store_name = user_data.get('store_name', '')
|
|
if store_name:
|
|
# Dictionary to store old sheet name to new sheet name mappings
|
|
sheet_name_mapping = {}
|
|
|
|
# Make a copy of the sheet names to avoid modifying during iteration
|
|
sheet_names = wb.sheetnames.copy()
|
|
for sheet_name in sheet_names:
|
|
if '{store_name}' in sheet_name:
|
|
new_sheet_name = sheet_name.replace('{store_name}', store_name)
|
|
# Get the sheet by its old name
|
|
sheet = wb[sheet_name]
|
|
# Set the new title
|
|
sheet.title = new_sheet_name
|
|
# Store the mapping
|
|
sheet_name_mapping[sheet_name] = new_sheet_name
|
|
print(f"Renamed sheet '{sheet_name}' to '{new_sheet_name}'")
|
|
|
|
# Use direct XML modification to replace all instances of {store_name}
|
|
print("Using direct XML modification to update all formulas...")
|
|
modified_file = update_excel_with_direct_xml(excel_path, store_name)
|
|
|
|
if modified_file and os.path.exists(modified_file):
|
|
# Use the modified file instead of the original
|
|
print(f"Using modified file: {modified_file}")
|
|
# Copy the modified file back to the original location
|
|
import shutil
|
|
shutil.copy2(modified_file, excel_path)
|
|
# Remove the modified file
|
|
os.remove(modified_file)
|
|
# Reload the workbook to get the changes
|
|
wb = openpyxl.load_workbook(excel_path)
|
|
|
|
# Save the workbook
|
|
wb.save(excel_path)
|
|
print(f"Excel file updated successfully: {excel_path}")
|
|
return True
|
|
|
|
except Exception as e:
|
|
print(f"Error updating Excel file: {e}")
|
|
return False
|
|
|
|
def update_formula_references(workbook, sheet_name_mapping):
|
|
"""
|
|
This function is no longer used directly - we now use direct_xml_update.py instead.
|
|
It's kept here for backward compatibility.
|
|
|
|
Args:
|
|
workbook: The openpyxl workbook object
|
|
sheet_name_mapping: Dictionary mapping old sheet names to new sheet names
|
|
"""
|
|
# This function is now just a placeholder
|
|
# The actual work is done by update_excel_with_direct_xml in direct_xml_update.py
|
|
print("Using direct XML modification approach instead of formula reference updating")
|
|
return 0
|
|
|
|
if __name__ == "__main__":
|
|
# For testing purposes
|
|
import sys
|
|
if len(sys.argv) > 1:
|
|
excel_path = sys.argv[1]
|
|
update_excel_variables(excel_path)
|
|
else:
|
|
print("Please provide the path to the Excel file as an argument")
|