def test_unexpected_attribute():
data = {"id": "foo", "abc": "xyz"}
schema = Schema("id", [Attribute("id", Datatype.String, Cardinality.One)])
with pytest.raises(UnknownAttribute):
validate(data, schema)
def test_representation_error_bool():
data = {"id": "foo", "abc": True}
schema = Schema("id", [
Attribute("id", Datatype.String, Cardinality.One),
Attribute("abc", Datatype.Integer, Cardinality.One)
])
with pytest.raises(RepresentationError):
validate(data, schema)
def test_cardinality_1_mismatch():
data = {"id": "foo", "abc": ["xyz"]}
schema = Schema("id", [
Attribute("id", Datatype.String, Cardinality.One),
Attribute("abc", Datatype.String, Cardinality.One)
])
with pytest.raises(CardinalityMismatch):
validate(data, schema)
def test_missing_pk():
data = {"abc": "xyz"}
schema = Schema("id", [
Attribute("id", Datatype.String, Cardinality.One),
Attribute("abc", Datatype.String, Cardinality.One)
])
with pytest.raises(MissingPrimaryKey):
validate(data, schema)
def test_valid_n_string():
data = {"id": "foo", "abc": ["xyz"]}
schema = Schema("id", [
Attribute("id", Datatype.String, Cardinality.One),
Attribute("abc", Datatype.String, Cardinality.Many)
])
assert validate(data, schema)
def test_nully():
data = {"id": "foo", "abc": None}
schema = Schema("id", [
Attribute("id", Datatype.String, Cardinality.One),
Attribute("abc", Datatype.Integer, Cardinality.One)
])
assert validate(data, schema)