AD ASTRA regex 2 vars 100/100

# var 1 functions findall
# 02. Ad Astra


def extract_datas(some_matches):
    my_data_list = []
    calories_sum = []
    for information in some_matches:
        string_to_print = f"Item: {information[1]}, Best before: {information[2]}, Nutrition: {information[3]}"
        my_data_list.append(string_to_print)
        calories_sum.append(int(information[3]))
    return my_data_list, sum(calories_sum) // 2000


def final_print(some_data, some_days):
    print(f'You have food to last you for: {some_days} days!')
    if some_data:
        for datas in some_data:
            print(datas)


import re

data = input()
pattern = r'(\#|\|)([A-Za-z\s*]+)\1(\d{2}\/\d{2}\/\d{2})\1(\d{1,5})\1'
matched = re.findall(pattern, data)
extracted_datas, days = extract_datas(matched)
final_print(extracted_datas, days)


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# Var2 named groups groupdict , finditer
# 02. Ad Astra

import re

data = input()
pattern = r'(?P<sep1>(\#|\|))(?P<Food>[A-Za-z\s]+)(?P=sep1)' \
          r'(?P<Date>\d{2}/\d{2}/\d{2})(?P=sep1)(?P<Calories>\d{1,5})(?P=sep1)'

my_products_details = []
total_calories = []

valid_input = re.finditer(pattern, data)
for el in valid_input:
    current_el = el.groupdict()
    total_calories.append(int(current_el['Calories']))
    print_string = f"Item: {current_el['Food']}, Best before: {current_el['Date']}, Nutrition: {current_el['Calories']}"
    my_products_details.append(print_string)

total_calories = sum(total_calories)
food_per_day = total_calories // 2000

if food_per_day >= 1:
    print(f'You have food to last you for: {food_per_day} days!')
    for el in my_products_details:
        print(el)
else:
    print(f'You have food to last you for: 0 days!')


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