def get_biggest_revenue_transaction():
transactions = sales.read_data_from_file()
price_index = sales.HEADERS.index("Price")
transaction_price = [
float(transaction[price_index]) for transaction in transactions
]
transaction_index = transaction_price.index(max(transaction_price))
view.print_general_results(transactions[transaction_index],
"Biggest revenue transaction")
def sum_transactions_between():
start_date, end_date = view.get_inputs(["start date", "end date"])
transactions = sales.read_data_from_file()
price_index = sales.HEADERS.index("Price")
transactions_price = [
float(element[price_index]) for element in transactions_between_dates(
start_date, end_date, transactions)
]
prices_sum = sum(transactions_price)
view.print_general_results(
prices_sum, f"Sum of transactions between {start_date} and {end_date}")
def count_transactions_between():
try:
start_date, end_date = view.get_inputs(["start date", "end date"])
if date_correct_input(start_date) or date_correct_input(end_date):
transactions = sales.read_data_from_file()
view.print_general_results(
len(
transactions_between_dates(start_date, end_date,
transactions)),
f"Number of transactions between {start_date} and {end_date}")
except ValueError:
view.print_error_message("Date in invalid format")
def get_biggest_revenue_product():
transactions = sales.read_data_from_file()
price_index = sales.HEADERS.index("Price")
product_index = sales.HEADERS.index("Product")
products_revenue = {}
best_seller = 0
for transaction in transactions:
if transaction[product_index] not in products_revenue.keys():
products_revenue[transaction[product_index]] = float(
transaction[price_index])
else:
products_revenue[transaction[product_index]] += float(
transaction[price_index])
if best_seller < products_revenue[transaction[product_index]]:
best_seller = products_revenue[transaction[product_index]]
product_key = transaction[product_index]
view.print_message(f"Product with the highest revenue: {product_key}")
def transaction_index_valid(number):
if int(number) == 0 or int(number) > len(sales.read_data_from_file()):
raise IndexError
return True