def test_filter__empty():
#If filtering twice with an inverted filter the result should be empty
acc_data = AccountData(data_path1, cat_path)
acc_data.filter_data("amount", ">=", 300)
acc_data.filter_data("amount", "<", 300)
assert (len(acc_data.get_data()) == 0)
#Tags should also be empty
assert (len(acc_data.get_tags()) == 0)
#It should be possible to still call get_timeseries()
assert (type(acc_data.get_timeseries()) == TimeSeries)
def test_get_timeseries__correct_sum():
#The total expenses should not change
acc_data1 = AccountData(data_path2)
sum1 = 0
for data in acc_data1.get_data():
sum1 += data[1]
sum2 = 0
for data in acc_data1.get_timeseries().data:
sum2 += data[1]
assert (sum1 == sum2)
def test_get_timeseries():
acc_data2 = AccountData(data_path2)
ts = acc_data2.get_timeseries().data
#The lenght of the timeseries should be the number of number of days between first and last day of data 1
assert (len(ts) == 26)
#All dates should be present between the first and the last, an only occur once
last_date = ts[0][0]
for data in ts[1:]:
assert (last_date + datetime.timedelta(1) == data[0])
last_date = data[0]