def test_validate_ok(self):
S.Multichartseries().validate(
[
dict(column="A", color="#aaaaaa"),
dict(column="B", color="#bbbbbb"),
]
)
def test_clean_multichartseries_non_number_is_prompting_error(self):
with self.assertRaises(PromptingError) as cm:
self._call_clean_value(
ParamSchema.Multichartseries(),
[
{
"column": "A",
"color": "#aaaaaa"
},
{
"column": "B",
"color": "#cccccc"
},
],
input_table_columns=[TEXT("A"), TIMESTAMP("B")],
)
self.assertEqual(
cm.exception.errors,
[
PromptingError.WrongColumnType(["A"], "text",
frozenset({"number"})),
PromptingError.WrongColumnType(["B"], "timestamp",
frozenset({"number"})),
],
)
def test_clean_multichartseries_missing_is_removed(self):
self.assertEqual(
self._call_clean_value(
ParamSchema.Multichartseries(),
[
{
"column": "A",
"color": "#aaaaaa"
},
{
"column": "C",
"color": "#cccccc"
},
],
input_table_columns=[NUMBER("A"), NUMBER("B")],
),
[{
"column": "A",
"color": "#aaaaaa"
}],
)
def test_clean_multichartseries_is_error(self):
with self.assertRaisesRegex(RuntimeError,
"Unsupported: fetch multichartseries"):
clean_value(ParamSchema.Multichartseries(), [], None)
def test_validate_not_list(self):
with pytest.raises(ValueError, match="not a list"):
S.Multichartseries().validate(dict(column="A", color="#aaaaaa"))
def test_validate_empty_column_bad(self):
with pytest.raises(ValueError, match="column must be non-empty"):
S.Multichartseries().validate([dict(column="", color="#000000")])
def test_validate_empty(self):
S.Multichartseries().validate([])
def test_default(self):
assert S.Multichartseries().default == []
