import re
 
page_text_str = "   1 NA BEVERAGE 1100 ICED TEA 14.00 3.00 42.00 3.50 0.00 42.00 0.00 0.52 47.09"
 
sale_line_re = re.compile('^\s*(\d+)\s*((?:[A-Za-z]+\s+)+)(\d+)\s+(.+?)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)\s+(\d+.\d+)$')
grouped_data = []
 
for line in page_text_str.split('\n'):
    print(line)
    match = sale_line_re.match(line)
    if match:
        groups = match.groups()
        item = {
            "item_rank": groups[0],
            "item_category": groups[1],
            "item_number": groups[2],
            "item_name": groups[3],
            "number_sold": groups[4],
            "price_sold": groups[5],
            "amount": groups[6],
            "tax": groups[7],
            "cost": groups[8],
            "profit": groups[9],
            "food_cost": groups[10],
            "precent_sales": groups[11],
            "cat_sales": groups[12]
        }
        grouped_data.append(item)
 
 
for sale in grouped_data:
    print(sale)

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