def test_fail_if_unknown_unit_type(self):
with pytest.raises(KeyError):
parser = Parser(
"count(unknown_unit_type.unit.click) * count(test_unit_type.unit.bar)",
"count(test_unit_type.global.exposure)",
)
parser.evaluate_agg(pd.DataFrame({"foo": np.ones(10)}))
def test_unknown_function(self):
with pytest.raises(ParseException):
parser = Parser(
"foo(test_unit_type.unit.click) * count(test_unit_type.unit.bar)",
"count(test_unit_type.global.exposure)",
)
parser.evaluate_agg(pd.DataFrame({"foo": np.ones(10)}))
def test_parsing(self):
with pytest.raises(ParseException):
parser = Parser(
' / count(test_unit_type.global.exposure)',
'count(test_unit_type.unit.bar)',
)
parser.evaluate_agg(pd.DataFrame({'foo': np.ones(10)}))
def test_get_goals_dimensional(self):
parser = Parser(
'count(test_unit_type.global.conversion(product=p_1)) + count(test_unit_type.global.conversion)',
'count(test_unit_type.unit.conversion(product=p_1_2))',
)
goals = parser.get_goals()
dim_goals = [g for g in goals if g.is_dimensional()]
assert len(goals) == 3
assert len(dim_goals) == 2
assert set([dg.dimension for dg in dim_goals]) == {'product'}
assert set([dg.dimension_value for dg in dim_goals]) == {'p_1', 'p_1_2'}
def test_parser(self):
variants = ['a', 'b', 'c', 'd']
goals = ['click', 'exposure', 'conversion', 'refund']
ln = len(variants) * len(goals)
goals = pd.DataFrame(
{
'exp_variant_id': np.repeat(variants, len(goals)),
'unit_type': np.repeat('test_unit_type', ln),
'agg_type': np.repeat('unit', ln),
'dimension': np.repeat('', ln),
'dimension_value': np.repeat('', ln),
'goal': np.array(goals * len(variants)),
'count': 1000 + np.random.randint(-100, 100, ln),
'sum_sqr_count': 1000 + np.random.randint(-100, 100, ln),
'sum_value': 10 + np.random.normal(0, 3, ln),
'sum_sqr_value': 100 + np.random.normal(0, 10, ln),
}
)
parser = Parser(
'count(test_unit_type.unit.click)',
'count(test_unit_type.unit.exposure)',
)
assert_count_value(
parser.evaluate_agg(goals),
goals[goals.goal == 'exposure']['count'].values,
goals[goals.goal == 'click']['count'].values,
goals[goals.goal == 'click']['sum_sqr_count'].values,
)
parser = Parser(
'value(test_unit_type.unit.conversion) - value(test_unit_type.unit.refund)',
'count(test_unit_type.unit.exposure)',
)
assert_count_value(
parser.evaluate_agg(goals),
goals[goals.goal == 'exposure']['count'],
goals[goals.goal == 'conversion']['sum_value'].values - goals[goals.goal == 'refund']['sum_value'].values,
goals[goals.goal == 'conversion']['sum_sqr_value'].values
- goals[goals.goal == 'refund']['sum_sqr_value'].values,
)
parser = Parser(
'value(test_unit_type.unit.conversion)',
'count(test_unit_type.unit.exposure) / 1000',
)
assert_count_value(
parser.evaluate_agg(goals),
goals[goals.goal == 'exposure']['count'].values / 1000,
goals[goals.goal == 'conversion']['sum_value'].values,
goals[goals.goal == 'conversion']['sum_sqr_value'].values,
)
def test_equal(self):
parser = Parser(
"value(test_unit_type.unit.conversion(product=p_1))",
"value(test_unit_type.unit.conversion(product=p_1))",
)
assert len(parser.get_goals()) == 1
parser = Parser(
"value(test_unit_type.unit.conversion(product=p_1))",
"value(test_unit_type.unit.conversion)",
)
assert len(parser.get_goals()) == 2
parser = Parser(
"value(test_unit_type.unit.conversion(product=p_1)) + value(test_unit_type.unit.conversion(product=p_1))",
"value(test_unit_type.unit.conversion)",
)
assert len(parser.get_goals()) == 2
def test_get_goals(self):
parser = Parser(
"value(test_unit_type.unit.conversion) - value(test_unit_type.unit.refund)",
"count(test_unit_type.global.exposure)",
)
assert parser.get_goals_str() == {
"test_unit_type.unit.conversion",
"test_unit_type.unit.refund",
"test_unit_type.global.exposure",
}
parser = Parser(
"value(test_unit_type.global.conversion)",
"count(test_unit_type.global.exposure)",
)
assert parser.get_goals_str() == {
"test_unit_type.global.conversion",
"test_unit_type.global.exposure",
}
def test_get_goals(self):
parser = Parser(
'value(test_unit_type.unit.conversion) - value(test_unit_type.unit.refund)',
'count(test_unit_type.global.exposure)',
)
assert parser.get_goals_str() == {
'test_unit_type.unit.conversion',
'test_unit_type.unit.refund',
'test_unit_type.global.exposure',
}
parser = Parser(
'value(test_unit_type.global.conversion)',
'count(test_unit_type.global.exposure)',
)
assert parser.get_goals_str() == {
'test_unit_type.global.conversion',
'test_unit_type.global.exposure',
}
def test_parser(self):
variants = ["a", "b", "c", "d"]
goals = ["click", "exposure", "conversion", "refund"]
ln = len(variants) * len(goals)
goals = pd.DataFrame({
"exp_variant_id":
np.repeat(variants, len(goals)),
"unit_type":
np.repeat("test_unit_type", ln),
"agg_type":
np.repeat("unit", ln),
"dimension":
np.repeat("", ln),
"dimension_value":
np.repeat("", ln),
"goal":
np.array(goals * len(variants)),
"count":
1000 + np.random.randint(-100, 100, ln),
"sum_sqr_count":
1000 + np.random.randint(-100, 100, ln),
"sum_value":
10 + np.random.normal(0, 3, ln),
"sum_sqr_value":
100 + np.random.normal(0, 10, ln),
})
parser = Parser(
"count(test_unit_type.unit.click)",
"count(test_unit_type.unit.exposure)",
)
assert_count_value(
parser.evaluate_agg(goals),
goals[goals.goal == "exposure"]["count"].values,
goals[goals.goal == "click"]["count"].values,
goals[goals.goal == "click"]["sum_sqr_count"].values,
)
parser = Parser(
"value(test_unit_type.unit.conversion) - value(test_unit_type.unit.refund)",
"count(test_unit_type.unit.exposure)",
)
conversion_sqr_value = goals[goals.goal ==
"conversion"]["sum_sqr_value"].values
refund_sqr_value = goals[goals.goal ==
"refund"]["sum_sqr_value"].values
assert_count_value(
parser.evaluate_agg(goals),
goals[goals.goal == "exposure"]["count"],
goals[goals.goal == "conversion"]["sum_value"].values -
goals[goals.goal == "refund"]["sum_value"].values,
conversion_sqr_value - refund_sqr_value,
)
parser = Parser(
"value(test_unit_type.unit.conversion)",
"count(test_unit_type.unit.exposure) / 1000",
)
assert_count_value(
parser.evaluate_agg(goals),
goals[goals.goal == "exposure"]["count"].values / 1000,
goals[goals.goal == "conversion"]["sum_value"].values,
goals[goals.goal == "conversion"]["sum_sqr_value"].values,
)
