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Copy pathcheck_nat_val_test.py
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108 lines (100 loc) · 2.64 KB
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from codonPython.validation.check_nat_val import check_nat_val
import pytest
import pandas as pd
df = pd.DataFrame(
{
"Breakdown": [
"National",
"CCG",
"CCG",
"Provider",
"Provider",
"National",
"CCG",
"CCG",
"Provider",
"Provider",
"National",
"CCG",
"CCG",
"Provider",
"Provider",
],
"measure": [
"m1",
"m1",
"m1",
"m1",
"m1",
"m2",
"m2",
"m2",
"m2",
"m2",
"m3",
"m3",
"m3",
"m3",
"m3",
],
"Value_Unsuppressed": [9, 4, 5, 3, 6, 11, 2, 9, 7, 4, 9, 5, 4, 6, 3],
}
)
@pytest.mark.parametrize(
"df, breakdown_col, measure_col, value_col, nat_val, expected",
[(df, "Breakdown", "measure", "Value_Unsuppressed", "National", True)],
)
def test_BAU(df, breakdown_col, measure_col, value_col, nat_val, expected):
assert (
check_nat_val(
df,
breakdown_col=breakdown_col,
measure_col=measure_col,
value_col=value_col,
nat_val=nat_val,
)
== expected
)
@pytest.mark.parametrize(
"df, breakdown_col, measure_col, value_col, nat_val",
[
(df, "Breakdown", 23, "Value_Unsuppressed", "National"), # Not a string
(df, 0.1, "Measure", "Value_Unsuppressed", "National"), # Not a string
(
df,
"Breakdown",
"Measure",
pd.DataFrame({"wrong": [1, 2, 3]}), # Not a string
"National",
),
(
df,
"Breakdown",
"Measure",
"Value_Unsuppressed",
set({"m1", "m2"}), # Not a string
),
],
)
def test_ValueErrors(df, breakdown_col, measure_col, value_col, nat_val):
with pytest.raises(ValueError):
check_nat_val(
df,
breakdown_col=breakdown_col,
measure_col=measure_col,
value_col=value_col,
nat_val=nat_val,
)
@pytest.mark.parametrize(
"df, breakdown_col, measure_col, value_col, nat_val",
[(df, "Breakdown", "measure", "Wrong_Column", "National")],
)
def test_KeyErrors(df, breakdown_col, measure_col, value_col, nat_val):
with pytest.raises(KeyError):
check_nat_val(
df,
breakdown_col=breakdown_col,
measure_col=measure_col,
value_col=value_col,
nat_val=nat_val,
)