def measure(self):
calc_object = CalculationFactory().create_calc_object(
cal_type=self.calculation_type
if self.calculation_type else CalcType.SUM_CALCULATION.value,
ts=self.data)
cal_result = calc_object.calculate(metric=self.measure_type)
return {self.type_name: cal_result}
def test_count_calculation():
print(
"================== Testing test_mean_calculation() =================")
cf = CalculationFactory()
data = pd.DataFrame(data={"Sales": [1, 2, 3]},
index=["Jan 2019", "Feb 2019", "Mar 2019"])
mean_calc = cf.create_calc_object("count_calculation")
mean_calc.assign(data)
assert mean_calc.calculate(metric="Sales") == 3
def test_complex_count_calculation():
print(
"================== Testing test_complex_count_calculation() ================="
)
cf = CalculationFactory()
data = pd.DataFrame(data={
"Sales": [1, 2, 3],
"Prod": ["A", "B", "B"]
},
index=["Jan 2019", "Feb 2019", "Mar 2019"])
mean_calc = cf.create_calc_object("complex_count_calculation")
mean_calc.assign(data)
df = mean_calc.calculate(metric="Sales", other_key="Prod")
assert df is not None
assert df.loc["A"]["Sales"] == 1
assert df.loc["B"]["Sales"] == 2
def test_calculationfactory():
print(
"================== Testing test_calculationfactory() ================="
)
cf = CalculationFactory()
try:
cf.create_calc_object(None, None)
assert False
except Exception:
assert True
try:
cf.create_calc_object(None)
assert False
except Exception:
assert True
try:
sum_calculation = cf.create_calc_object("sum_calculation")
assert False
except Exception:
assert True