def get_transactions_list():
single_transaction = [] # [date, amount, description, category]
transactions = []
expenses = []
income = []
for row in range(date_dimensions[0] + 1, df.shape[0]):
single_transaction.clear()
if parse_transaction_date(df.loc[row, date_dimensions[1]]) is None:
continue # skip row if no date provided
if not is_negative(df.loc[row, amount_dimensions[1]]):
single_transaction.insert(
0, parse_transaction_date(df.loc[row, date_dimensions[1]]))
single_transaction.insert(1, df.loc[row, amount_dimensions[1]])
single_transaction.insert(2, df.loc[row, desc_dimensions[1]])
single_transaction.insert(3, 'testCateg')
income.append(single_transaction.copy(
)) # positive transaction, so addition will be in Income
else:
single_transaction.insert(
0, parse_transaction_date(df.loc[row, date_dimensions[1]]))
single_transaction.insert(1, df.loc[row, amount_dimensions[1]])
single_transaction.insert(2, df.loc[row, desc_dimensions[1]])
single_transaction.insert(3, 'testCateg')
expenses.append(single_transaction.copy(
)) # negative transaction, so addition will be in expense
transactions.insert(0, expenses)
transactions.insert(1, income)
return transactions
def set_sign(self, val):
self.clear(Flags.SIGN)
if is_negative(val):
self.set(Flags.SIGN)
def test_should_return_false_for_positive_numbers(self):
self.assertFalse(utils.is_negative(56))
def test_should_return_false_for_zero(self):
self.assertFalse(utils.is_negative(0))
def test_should_return_true_for_negative_numbers(self):
self.assertTrue(utils.is_negative(-47))
