Implemented hiding forecast sheets not in the calculated years array

This commit is contained in:
denisacirstea
2025-09-12 12:54:45 +03:00
parent 3fda676a47
commit 5e474abc49
2 changed files with 80 additions and 4 deletions

View File

@@ -5,10 +5,10 @@
"company_name": "Footprints AI",
"email": "denisa@example.com",
"phone": "+40 712 345 678",
"store_name": "Carrefour Romania",
"store_name": "Ursus",
"country": "Romania",
"starting_date": "01.01.2026",
"duration": 36,
"starting_date": "01.01.2027",
"duration": 24,
"store_types": ["convenience", "supermarket", "hypermarket"],
"open_days_per_month": 26,

View File

@@ -9,6 +9,7 @@ from zipfile import ZipFile, ZIP_DEFLATED
def update_excel_variables(excel_path):
"""
Update the Variables sheet in the Excel file with values from config.json
and hide forecast sheets that aren't in the calculated years array
Args:
excel_path (str): Path to the Excel file to update
@@ -112,6 +113,68 @@ def update_excel_variables(excel_path):
print("Saving workbook with updated variables...")
wb.save(excel_path)
# Get the calculated years array from config
starting_date = user_data.get('starting_date', '')
duration = user_data.get('duration', 36)
calculated_years = []
# Import datetime at the module level to avoid scope issues
import datetime
from dateutil.relativedelta import relativedelta
# Calculate years array based on starting_date and duration
try:
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
if starting_date:
if '/' in str(starting_date):
day, month, year = map(int, str(starting_date).split('/'))
elif '.' in str(starting_date):
day, month, year = map(int, str(starting_date).split('.'))
elif '-' in str(starting_date):
# Handle ISO format (yyyy-mm-dd)
date_parts = str(starting_date).split('-')
if len(date_parts) == 3:
year, month, day = map(int, date_parts)
else:
# Default to current date if format is not recognized
current_date = datetime.datetime.now()
year, month, day = current_date.year, current_date.month, current_date.day
elif isinstance(starting_date, datetime.datetime):
day, month, year = starting_date.day, starting_date.month, starting_date.year
else:
# Default to current date if format is not recognized
current_date = datetime.datetime.now()
year, month, day = current_date.year, current_date.month, current_date.day
# Create datetime object for starting date
start_date = datetime.datetime(year, month, day)
# Calculate end date (starting date + duration months - 1 day)
end_date = start_date + relativedelta(months=duration-1)
# Create a set of years (to avoid duplicates)
years_set = set()
# Add starting year
years_set.add(start_date.year)
# Add ending year
years_set.add(end_date.year)
# If there are years in between, add those too
for y in range(start_date.year + 1, end_date.year):
years_set.add(y)
# Convert set to sorted list
calculated_years = sorted(list(years_set))
print(f"Calculated years for sheet visibility: {calculated_years}")
else:
# Default to current year if no starting date
calculated_years = [datetime.datetime.now().year]
except Exception as e:
print(f"Error calculating years for sheet visibility: {e}")
calculated_years = [datetime.datetime.now().year]
# Update sheet names - replace {store_name} with actual store name
store_name = user_data.get('store_name', '')
if store_name:
@@ -130,8 +193,21 @@ def update_excel_variables(excel_path):
# Store the mapping
sheet_name_mapping[sheet_name] = new_sheet_name
print(f"Renamed sheet '{sheet_name}' to '{new_sheet_name}'")
# Check if this is a forecast sheet and if its year is in the calculated years
# Forecast sheets have names like "2025 Forecast {store_name}"
if "Forecast" in new_sheet_name:
# Extract the year from the sheet name
try:
sheet_year = int(new_sheet_name.split()[0])
# Hide the sheet if its year is not in the calculated years
if sheet_year not in calculated_years:
sheet.sheet_state = 'hidden'
print(f"Hiding sheet '{new_sheet_name}' as year {sheet_year} is not in calculated years {calculated_years}")
except Exception as e:
print(f"Error extracting year from sheet name '{new_sheet_name}': {e}")
# Save the workbook with renamed sheets
# Save the workbook with renamed and hidden sheets
wb.save(excel_path)
# Use direct XML modification to replace all instances of {store_name} in formulas