def test_invalid_on_non_list(self):
data = {'foo': [{'a': 'b'}, {'b': 'c'}]}
schema = (types.string, 'b') # note how this is not normalized
iter_validator = engine.IterableValidator(data, schema, index=0)
with raises(Invalid) as exc:
iter_validator.validate()
error = exc.value.args[0]
assert "top level did not pass validation against callable: IterableValidator" in error
def test_report_schema_errors(self):
data = [1, 2, 3, 4]
schema = (types.string, ('b', 'a'))
iter_validator = engine.IterableValidator(data, schema, index=0)
with raises(SchemaError) as exc:
iter_validator.validate()
error = exc.value.args[0]
assert "iterable contains single items, schema does not" in error
def test_not_enough_items_in_data(self):
data = {0: ('a', 'b')}
schema = {0: ('a', 'b')}
iter_validator = engine.IterableValidator(data, schema, index=100)
with raises(SchemaError) as exc:
iter_validator.validate()
error = exc.value.args[0]
assert '-> top level has not enough items to select from' in error
def test_validate_nested_array(self):
data = [{'a': 'b'}, {'b': 'c'}]
schema = (types.string, 'b') # note how this is not normalized
iter_validator = engine.IterableValidator(data, schema, index=0)
with raises(Invalid) as exc:
iter_validator.validate()
error = exc.value.args[0]
assert "-> list[1] -> b -> c did not match 'b'" in error