def model_validator(additional_properties=False, validate_wltc_data=False, validate_schema=False):
schema = _get_model_schema(additional_properties)
wltc_schema = _get_wltc_schema() if validate_wltc_data else {} ## Do not supply wltc schema, for speedup.
resolver = RefResolver(_url_model, schema, store={_url_wltc: wltc_schema})
validator = PandelVisitor(schema, resolver=resolver, skip_meta_validation=not validate_schema)
return validator
def test_draft4_validator_is_the_default(self):
pv = PandelVisitor({})
with mock.patch.object(
pv, "iter_errors",
return_value=()) as chk_schema: # @UndefinedVariable
pv.validate({}, {})
chk_schema.assert_called_once_with({}, {})
def test_rule_additionalProperties_for_pandas(self):
schema = {
'type': ['object'],
'additionalProperties': False,
'properties': {
'foo': {},
}
}
pv = PandelVisitor(schema)
pv.validate({'foo': 1})
with assertRaisesRegex(
self, ValidationError,
"Additional properties are not allowed \(u?'bar' was unexpected\)"
):
pv.validate({'foo': 1, 'bar': 2})
pv.validate(pd.Series({'foo': 1}))
with assertRaisesRegex(
self, ValidationError,
"Additional properties are not allowed \(u?'bar' was unexpected\)"
):
pv.validate(pd.Series({'foo': 1, 'bar': 2}))
pv.validate(pd.DataFrame({'foo': [1]}))
with assertRaisesRegex(
self, ValidationError,
"Additional properties are not allowed \(u?'bar' was unexpected\)"
):
pv.validate(pd.DataFrame({'foo': [1], 'bar': [2]}))
def test_patternProperties(self):
data = {"bar": 1, "foo": 2}
schema = {
"patternProperties": {
"bar": {
"type": "string"
},
"foo": {
"minimum": 5
}
}
}
validator = PandelVisitor(schema)
for instance in wrap_in_pandas(data):
errors = validator.iter_errors(instance)
try:
e1, e2 = sorted_errors(errors)
except ValueError as ex:
print(list(sorted_errors(validator.iter_errors(instance))))
raise ex
self.assertEqual(e1.path, deque(["bar"]))
self.assertEqual(e2.path, deque(["foo"]))
self.assertEqual(e1.validator, "type")
self.assertEqual(e2.validator, "minimum")
def test_draft4_validator_is_chosen(self):
pv = PandelVisitor({})
schema = {"$schema": "http://json-schema.org/draft-04/schema#"}
with mock.patch.object(
pv, "iter_errors",
return_value=()) as chk_schema: # @UndefinedVariable
pv.validate({}, schema)
chk_schema.assert_called_once_with({}, schema)
def test_validate_object_or_pandas(self):
schema = {
'type': ['object'],
}
pv = PandelVisitor(schema)
pv.validate({'foo': 'bar'})
pv.validate(pd.Series({'foo': 'bar', 'foofoo': 'bar'}))
pv.validate(pd.DataFrame({'foo': [1, 2], 'foofoo': [3, 4]}))
with assertRaisesRegex(self, ValidationError,
"\[1, 2, 3\] is not of type u?'object'"):
pv.validate([1, 2, 3])
def test_additionalProperties(self):
data = {"bar": "bar", "foo": 2}
schema = {"additionalProperties": {"type": "integer", "minimum": 5}}
validator = PandelVisitor(schema)
for instance in wrap_in_pandas(data):
errors = validator.iter_errors(instance)
e1, e2 = sorted_errors(errors)
self.assertEqual(e1.path, deque(["bar"]))
self.assertEqual(e2.path, deque(["foo"]))
self.assertEqual(e1.validator, "type")
self.assertEqual(e2.validator, "minimum")
def test_single_nesting(self):
data = {"foo": 2, "bar": [1], "baz": 15, "quux": "spam"}
schema = {
"properties": {
"foo": {
"type": "string"
},
"bar": {
"minItems": 2
},
"baz": {
"maximum": 10,
"enum": [2, 4, 6, 8]
},
}
}
validator = PandelVisitor(schema)
for instance in wrap_in_pandas(data):
errors = validator.iter_errors(instance)
errors = sorted_errors(errors)
try:
e1, e2, e3, e4 = errors
except ValueError as ex:
print(list(sorted_errors(validator.iter_errors(instance))))
raise ex
self.assertEqual(e1.path, deque(["bar"]))
self.assertEqual(e2.path, deque(["baz"]))
self.assertEqual(e3.path, deque(["baz"]))
self.assertEqual(e4.path, deque(["foo"]))
self.assertEqual(e1.relative_path, deque(["bar"]))
self.assertEqual(e2.relative_path, deque(["baz"]))
self.assertEqual(e3.relative_path, deque(["baz"]))
self.assertEqual(e4.relative_path, deque(["foo"]))
self.assertEqual(e1.absolute_path, deque(["bar"]))
self.assertEqual(e2.absolute_path, deque(["baz"]))
self.assertEqual(e3.absolute_path, deque(["baz"]))
self.assertEqual(e4.absolute_path, deque(["foo"]))
self.assertEqual(e1.validator, "minItems")
self.assertEqual(e2.validator, "enum")
self.assertEqual(e3.validator, "maximum")
self.assertEqual(e4.validator, "type")
def test_rule_requiredProperties_rule_for_pandas(self):
schema = {'type': ['object'], 'required': ['foo']}
pv = PandelVisitor(schema)
pv.validate({'foo': 'bar'})
with assertRaisesRegex(self, ValidationError,
"'foo' is a required property"):
pv.validate({'foofoo': 'bar'})
pv.validate(pd.Series({'foo': 'bar', 'foofoo': 'bar'}))
with assertRaisesRegex(self, ValidationError,
"'foo' is a required property"):
pv.validate(pd.Series({'foofoo': 'bar'}))
pv.validate(pd.DataFrame({'foo': [1, 2], 'foofoo': [3, 4]}))
with assertRaisesRegex(self, ValidationError,
"'foo' is a required property"):
pv.validate(pd.DataFrame({'foofoo': [1, 2], 'bar': [3, 4]}))
def test_additionalItems_with_items(self):
data = ["foo", "bar", 1]
schema = {
"items": [{}],
"additionalItems": {
"type": "integer",
"minimum": 5
}
}
validator = PandelVisitor(schema)
for instance in wrap_in_pandas(data):
errors = validator.iter_errors(instance)
e1, e2 = sorted_errors(errors)
self.assertEqual(e1.path, deque([1]))
self.assertEqual(e2.path, deque([2]))
if not isinstance(instance, np.ndarray):
## numpy-arrays have column-types so str+int-->str and both errors are type-errors.
self.assertSequenceEqual([e.validator for e in (e1, e2)],
("type", "minimum"), (e1, e2))
def iter_errors(self, instance, schema, *args, **kwds):
self.validator = PandelVisitor(schema)
return self.validator.iter_errors(instance, *args, **kwds)
def setUp(self):
super(TestDraft3lValidator, self).setUp()
self.validator = PandelVisitor(
{"$schema": "http://json-schema.org/draft-03/schema#"})
def test_multiple_nesting(self):
instance = [1, {"foo": 2, "bar": {"baz": [1]}}, "quux"]
schema = {
"$schema": "http://json-schema.org/draft-03/schema#",
"type": "string",
"items": {
"type": ["string", "object"],
"properties": {
"foo": {
"enum": [1, 3]
},
"bar": {
"type": "array",
"properties": {
"bar": {
"required": True
},
"baz": {
"minItems": 2
},
}
}
}
}
}
validator = PandelVisitor(schema)
errors = validator.iter_errors(instance)
e1, e2, e3, e4, e5, e6 = sorted_errors(errors)
self.assertEqual(e1.path, deque([]))
self.assertEqual(e2.path, deque([0]))
self.assertEqual(e3.path, deque([1, "bar"]))
self.assertEqual(e4.path, deque([1, "bar", "bar"]))
self.assertEqual(e5.path, deque([1, "bar", "baz"]))
self.assertEqual(e6.path, deque([1, "foo"]))
self.assertEqual(e1.schema_path, deque(["type"]))
self.assertEqual(e2.schema_path, deque(["items", "type"]))
self.assertEqual(
list(e3.schema_path),
["items", "properties", "bar", "type"],
)
self.assertEqual(
list(e4.schema_path),
["items", "properties", "bar", "properties", "bar", "required"],
)
self.assertEqual(
list(e5.schema_path),
["items", "properties", "bar", "properties", "baz", "minItems"])
self.assertEqual(
list(e6.schema_path),
["items", "properties", "foo", "enum"],
)
self.assertEqual(e1.validator, "type")
self.assertEqual(e2.validator, "type")
self.assertEqual(e3.validator, "type")
self.assertEqual(e4.validator, "required")
self.assertEqual(e5.validator, "minItems")
self.assertEqual(e6.validator, "enum")
def validate(instance, schema, *args, **kws):
return PandelVisitor(schema, *args, **kws).validate(instance)
def test_type(self):
instance = {"foo": 1}
schema = {
"$schema":
"http://json-schema.org/draft-03/schema#",
"type": [{
"type": "integer"
}, {
"type": "object",
"properties": {
"foo": {
"enum": [2]
}
}
}]
}
validator = PandelVisitor(schema)
data = {"foo": 1}
for instance in wrap_in_pandas(data):
errors = list(validator.iter_errors(instance))
self.assertEqual(len(errors), 1)
e = errors[0]
self.assertEqual(e.validator, "type")
self.assertEqual(e.validator_value, schema["type"])
npt.assert_array_equal(e.instance, instance)
self.assertEqual(e.schema, schema)
self.assertIsNone(e.parent)
self.assertEqual(e.path, deque([]))
self.assertEqual(e.relative_path, deque([]))
self.assertEqual(e.absolute_path, deque([]))
self.assertEqual(e.schema_path, deque(["type"]))
self.assertEqual(e.relative_schema_path, deque(["type"]))
self.assertEqual(e.absolute_schema_path, deque(["type"]))
self.assertEqual(len(e.context), 2)
e1, e2 = sorted_errors(e.context)
self.assertEqual(e1.validator, "type")
self.assertEqual(e1.validator_value, schema["type"][0]["type"])
npt.assert_array_equal(e1.instance, instance)
self.assertEqual(e1.schema, schema["type"][0])
self.assertIs(e1.parent, e)
self.assertEqual(e1.path, deque([]))
self.assertEqual(e1.relative_path, deque([]))
self.assertEqual(e1.absolute_path, deque([]))
self.assertEqual(e1.schema_path, deque([0, "type"]))
self.assertEqual(e1.relative_schema_path, deque([0, "type"]))
self.assertEqual(e1.absolute_schema_path,
deque(["type", 0, "type"]))
self.assertFalse(e1.context)
self.assertEqual(e2.validator, "enum")
self.assertEqual(e2.validator_value, [2])
npt.assert_array_equal(e2.instance, 1)
self.assertEqual(e2.schema, {u"enum": [2]})
self.assertIs(e2.parent, e)
self.assertEqual(e2.path, deque(["foo"]))
self.assertEqual(e2.relative_path, deque(["foo"]))
self.assertEqual(e2.absolute_path, deque(["foo"]))
self.assertEqual(
e2.schema_path,
deque([1, "properties", "foo", "enum"]),
)
self.assertEqual(
e2.relative_schema_path,
deque([1, "properties", "foo", "enum"]),
)
self.assertEqual(
e2.absolute_schema_path,
deque(["type", 1, "properties", "foo", "enum"]),
)
self.assertFalse(e2.context)
def test_anyOf(self):
instance = 5
schema = {"anyOf": [{"minimum": 20}, {"type": "string"}]}
validator = PandelVisitor(schema)
errors = list(validator.iter_errors(instance))
self.assertEqual(len(errors), 1)
e = errors[0]
self.assertEqual(e.validator, "anyOf")
self.assertEqual(e.validator_value, schema["anyOf"])
self.assertEqual(e.instance, instance)
self.assertEqual(e.schema, schema)
self.assertIsNone(e.parent)
self.assertEqual(e.path, deque([]))
self.assertEqual(e.relative_path, deque([]))
self.assertEqual(e.absolute_path, deque([]))
self.assertEqual(e.schema_path, deque(["anyOf"]))
self.assertEqual(e.relative_schema_path, deque(["anyOf"]))
self.assertEqual(e.absolute_schema_path, deque(["anyOf"]))
self.assertEqual(len(e.context), 2)
e1, e2 = sorted_errors(e.context)
self.assertEqual(e1.validator, "minimum")
self.assertEqual(e1.validator_value, schema["anyOf"][0]["minimum"])
self.assertEqual(e1.instance, instance)
self.assertEqual(e1.schema, schema["anyOf"][0])
self.assertIs(e1.parent, e)
self.assertEqual(e1.path, deque([]))
self.assertEqual(e1.absolute_path, deque([]))
self.assertEqual(e1.relative_path, deque([]))
self.assertEqual(e1.schema_path, deque([0, "minimum"]))
self.assertEqual(e1.relative_schema_path, deque([0, "minimum"]))
self.assertEqual(
e1.absolute_schema_path,
deque(["anyOf", 0, "minimum"]),
)
self.assertFalse(e1.context)
self.assertEqual(e2.validator, "type")
self.assertEqual(e2.validator_value, schema["anyOf"][1]["type"])
self.assertEqual(e2.instance, instance)
self.assertEqual(e2.schema, schema["anyOf"][1])
self.assertIs(e2.parent, e)
self.assertEqual(e2.path, deque([]))
self.assertEqual(e2.relative_path, deque([]))
self.assertEqual(e2.absolute_path, deque([]))
self.assertEqual(e2.schema_path, deque([1, "type"]))
self.assertEqual(e2.relative_schema_path, deque([1, "type"]))
self.assertEqual(e2.absolute_schema_path, deque(["anyOf", 1, "type"]))
self.assertEqual(len(e2.context), 0)
