def test_error_messages_interface():
"""
`errors.messages()` should return a list of Message instances.
"""
validator = Integer()
value, error = validator.validate_or_error("abc")
assert error.messages() == [Message(text="Must be a number.", code="type")]
def test_not():
validator = Not(Integer())
value, error = validator.validate_or_error("abc")
assert value == "abc"
assert error is None
validator = Not(Integer())
value, error = validator.validate_or_error(5)
assert value is None
assert error == ValidationError(text="Must not match.", code="negated")
def test_union():
validator = Union(any_of=[Integer(), String()])
value, error = validator.validate_or_error("abc")
assert value == "abc"
assert error is None
validator = Union(any_of=[Integer(), String()])
value, error = validator.validate_or_error(123)
assert value == 123
assert error is None
validator = Union(any_of=[Integer(), String()])
value, error = validator.validate_or_error(None)
assert value is None
assert error == ValidationError(text="May not be null.", code="null")
validator = Union(any_of=[Integer(), String()])
value, error = validator.validate_or_error(True)
assert value is None
assert error == ValidationError(text="Did not match any valid type.",
code="union")
validator = Union(any_of=[Integer(allow_null=True), String()])
value, error = validator.validate_or_error(None)
assert error is None
assert value is None
validator = Union(any_of=[Integer(), String()], allow_null=True)
value, error = validator.validate_or_error(None)
assert error is None
assert value is None
validator = Union(any_of=[Integer(maximum=1000), String()])
value, error = validator.validate_or_error(9999)
assert value is None
assert error == ValidationError(text="Must be less than or equal to 1000.",
code="maximum")
validator = Integer() | String() | Boolean()
value, error = validator.validate_or_error(123)
assert value == 123
validator = Integer() | (String() | Boolean())
value, error = validator.validate_or_error(123)
assert value == 123
def test_errors_dict_interface():
"""
`validated.errors` should present a dict-like interface.
"""
validator = Object(properties={"example": Integer()})
value, error = validator.validate_or_error({"example": "abc"})
assert dict(error) == {"example": "Must be a number."}
validator = Object(properties={"example": Integer()})
value, error = validator.validate_or_error({"example": "abc"})
assert error["example"] == "Must be a number."
validator = Object(additional_properties=Object(
additional_properties=Integer()))
value, error = validator.validate_or_error({"example": {"nested": "abc"}})
assert dict(error) == {"example": {"nested": "Must be a number."}}
validator = Integer()
value, error = validator.validate_or_error("abc")
assert error[""] == "Must be a number."
validator = Integer()
value, error = validator.validate_or_error("abc")
assert dict(error) == {"": "Must be a number."}
def test_one_of():
validator = OneOf([String(), Integer()])
value, error = validator.validate_or_error(123)
assert value is 123
assert error is None
validator = OneOf([String(allow_null=True), Integer()])
value, error = validator.validate_or_error(None)
assert value is None
assert error is None
validator = OneOf([String(allow_null=True), Integer(allow_null=True)])
value, error = validator.validate_or_error(None)
assert value is None
assert error == ValidationError(
text="Matched more than one type.", code="multiple_matches"
)
validator = OneOf([String(), Integer()])
value, error = validator.validate_or_error(None)
assert value is None
assert error == ValidationError(
text="Did not match any valid type.", code="no_match"
)
def test_all_of():
validator = AllOf([Integer(multiple_of=5), Integer(multiple_of=3)])
value, error = validator.validate_or_error(3)
assert value is None
assert error == ValidationError(text="Must be a multiple of 5.", code="multiple_of")
validator = AllOf([Integer(multiple_of=5), Integer(multiple_of=3)])
value, error = validator.validate_or_error(5)
assert value is None
assert error == ValidationError(text="Must be a multiple of 3.", code="multiple_of")
validator = AllOf([Integer(multiple_of=5), Integer(multiple_of=3)])
value, error = validator.validate_or_error(15)
assert value == 15
assert error is None
def from_json_schema_type(data: dict, type_string: str, allow_null: bool,
definitions: SchemaDefinitions) -> Field:
"""
Build a typed field from a JSON schema object.
"""
if type_string == "number":
kwargs = {
"allow_null": allow_null,
"minimum": data.get("minimum", None),
"maximum": data.get("maximum", None),
"exclusive_minimum": data.get("exclusiveMinimum", None),
"exclusive_maximum": data.get("exclusiveMaximum", None),
"multiple_of": data.get("multipleOf", None),
"default": data.get("default", NO_DEFAULT),
}
return Float(**kwargs)
elif type_string == "integer":
kwargs = {
"allow_null": allow_null,
"minimum": data.get("minimum", None),
"maximum": data.get("maximum", None),
"exclusive_minimum": data.get("exclusiveMinimum", None),
"exclusive_maximum": data.get("exclusiveMaximum", None),
"multiple_of": data.get("multipleOf", None),
"default": data.get("default", NO_DEFAULT),
}
return Integer(**kwargs)
elif type_string == "string":
min_length = data.get("minLength", 0)
kwargs = {
"allow_null": allow_null,
"allow_blank": min_length == 0,
"min_length": min_length if min_length > 1 else None,
"max_length": data.get("maxLength", None),
"format": data.get("format"),
"pattern": data.get("pattern", None),
"default": data.get("default", NO_DEFAULT),
}
return String(**kwargs)
elif type_string == "boolean":
kwargs = {
"allow_null": allow_null,
"default": data.get("default", NO_DEFAULT)
}
return Boolean(**kwargs)
elif type_string == "array":
items = data.get("items", None)
if items is None:
items_argument: typing.Union[None, Field,
typing.List[Field]] = None
elif isinstance(items, list):
items_argument = [
from_json_schema(item, definitions=definitions)
for item in items
]
else:
items_argument = from_json_schema(items, definitions=definitions)
additional_items = data.get("additionalItems", None)
if additional_items is None:
additional_items_argument: typing.Union[bool, Field] = True
elif isinstance(additional_items, bool):
additional_items_argument = additional_items
else:
additional_items_argument = from_json_schema(
additional_items, definitions=definitions)
kwargs = {
"allow_null": allow_null,
"min_items": data.get("minItems", 0),
"max_items": data.get("maxItems", None),
"additional_items": additional_items_argument,
"items": items_argument,
"unique_items": data.get("uniqueItems", False),
"default": data.get("default", NO_DEFAULT),
}
return Array(**kwargs)
elif type_string == "object":
properties = data.get("properties", None)
if properties is None:
properties_argument: typing.Optional[typing.Dict[str,
Field]] = None
else:
properties_argument = {
key: from_json_schema(value, definitions=definitions)
for key, value in properties.items()
}
pattern_properties = data.get("patternProperties", None)
if pattern_properties is None:
pattern_properties_argument: typing.Optional[typing.Dict[
str, Field]] = (None)
else:
pattern_properties_argument = {
key: from_json_schema(value, definitions=definitions)
for key, value in pattern_properties.items()
}
additional_properties = data.get("additionalProperties", None)
if additional_properties is None:
additional_properties_argument: typing.Union[None, bool,
Field] = (None)
elif isinstance(additional_properties, bool):
additional_properties_argument = additional_properties
else:
additional_properties_argument = from_json_schema(
additional_properties, definitions=definitions)
property_names = data.get("propertyNames", None)
if property_names is None:
property_names_argument: typing.Optional[Field] = None
else:
property_names_argument = from_json_schema(property_names,
definitions=definitions)
kwargs = {
"allow_null": allow_null,
"properties": properties_argument,
"pattern_properties": pattern_properties_argument,
"additional_properties": additional_properties_argument,
"property_names": property_names_argument,
"min_properties": data.get("minProperties", None),
"max_properties": data.get("maxProperties", None),
"required": data.get("required", None),
"default": data.get("default", NO_DEFAULT),
}
return Object(**kwargs)
assert False, f"Invalid argument type_string={type_string!r}" # pragma: no cover
JSONSchema = (
Object(
properties={
"$ref":
String(),
"type":
String() | Array(items=String()),
"enum":
Array(unique_items=True, min_items=1),
"definitions":
Object(additional_properties=Reference("JSONSchema",
definitions=definitions)),
# String
"minLength":
Integer(minimum=0),
"maxLength":
Integer(minimum=0),
"pattern":
String(format="regex"),
"format":
String(),
# Numeric
"minimum":
Number(),
"maximum":
Number(),
"exclusiveMinimum":
Number(),
"exclusiveMaximum":
Number(),
def test_array():
validator = Array()
value, error = validator.validate_or_error([])
assert value == []
validator = Array()
value, error = validator.validate_or_error(None)
assert error == ValidationError(text="May not be null.", code="null")
validator = Array()
value, error = validator.validate_or_error(123)
assert error == ValidationError(text="Must be an array.", code="type")
validator = Array(allow_null=True)
value, error = validator.validate_or_error(None)
assert value is None
assert error is None
validator = Array(min_items=1)
value, error = validator.validate_or_error([])
assert error == ValidationError(text="Must not be empty.", code="empty")
validator = Array(min_items=1)
value, error = validator.validate_or_error([1])
assert value == [1]
validator = Array(min_items=2)
value, error = validator.validate_or_error([])
assert error == ValidationError(text="Must have at least 2 items.",
code="min_items")
validator = Array(min_items=2)
value, error = validator.validate_or_error([1, 2])
assert value == [1, 2]
validator = Array(max_items=2)
value, error = validator.validate_or_error([])
assert value == []
validator = Array(max_items=2)
value, error = validator.validate_or_error([1, 2, 3])
assert error == ValidationError(text="Must have no more than 2 items.",
code="max_items")
validator = Array(exact_items=2)
value, error = validator.validate_or_error([1, 2])
assert value == [1, 2]
validator = Array(exact_items=2)
value, error = validator.validate_or_error([1, 2, 3])
assert error == ValidationError(text="Must have 2 items.",
code="exact_items")
validator = Array(items=Integer())
value, error = validator.validate_or_error(["1", 2, "3"])
assert value == [1, 2, 3]
validator = Array(items=Integer())
value, error = validator.validate_or_error(["a", 2, "c"])
assert dict(error) == {0: "Must be a number.", 2: "Must be a number."}
validator = Array(items=[String(), Integer()])
value, error = validator.validate_or_error(["a", "b", "c"])
assert error == ValidationError(text="Must have 2 items.",
code="exact_items")
validator = Array(items=[String(), Integer()])
value, error = validator.validate_or_error(["a", "123"])
assert value == ["a", 123]
validator = Array(items=[String(), Integer()], additional_items=Integer())
value, error = validator.validate_or_error(["a", "123", "456"])
assert value == ["a", 123, 456]
validator = Array(items=String(), unique_items=True)
value, error = validator.validate_or_error(["a", "b"])
assert value == ["a", "b"]
validator = Array(items=String(), unique_items=True)
value, error = validator.validate_or_error(["a", "a"])
assert dict(error) == {1: "Items must be unique."}
validator = Array(items=[String(), Integer(), Boolean()], min_items=1)
value, error = validator.validate_or_error(["a"])
assert value == ["a"]
validator = Array(items=[String(), Integer(), Boolean()], min_items=1)
value, error = validator.validate_or_error(["a", "123"])
assert value == ["a", 123]
validator = Array(items=[String(), Integer(), Boolean()], min_items=1)
value, error = validator.validate_or_error([])
assert error == ValidationError(text="Must not be empty.", code="empty")
validator = Array(items=[String(), Integer(), Boolean()], min_items=2)
value, error = validator.validate_or_error([])
assert error == ValidationError(text="Must have at least 2 items.",
code="min_items")
def test_object():
validator = Object()
value, error = validator.validate_or_error({})
assert value == {}
validator = Object()
value, error = validator.validate_or_error(None)
assert dict(error) == {"": "May not be null."}
validator = Object()
value, error = validator.validate_or_error(123)
assert dict(error) == {"": "Must be an object."}
validator = Object()
value, error = validator.validate_or_error({1: 123})
assert dict(error) == {"": "All object keys must be strings."}
validator = Object(allow_null=True)
value, error = validator.validate_or_error(None)
assert value is None
assert error is None
validator = Object(min_properties=1)
value, error = validator.validate_or_error({})
assert dict(error) == {"": "Must not be empty."}
validator = Object(min_properties=1)
value, error = validator.validate_or_error({"a": 1})
assert value == {"a": 1}
validator = Object(min_properties=2)
value, error = validator.validate_or_error({})
assert dict(error) == {"": "Must have at least 2 properties."}
validator = Object(min_properties=2)
value, error = validator.validate_or_error({"a": 1, "b": 2})
assert value == {"a": 1, "b": 2}
validator = Object(max_properties=2)
value, error = validator.validate_or_error({})
assert value == {}
validator = Object(max_properties=2)
value, error = validator.validate_or_error({"a": 1, "b": 2, "c": 3})
assert dict(error) == {"": "Must have no more than 2 properties."}
validator = Object(required=["example"])
value, error = validator.validate_or_error({"example": 123})
assert value == {"example": 123}
validator = Object(required=["example"])
value, error = validator.validate_or_error({})
assert dict(error) == {"example": "This field is required."}
validator = Object(properties={"example": Integer()})
value, error = validator.validate_or_error({"example": "123"})
assert value == {"example": 123}
validator = Object(properties={"example": Integer()})
value, error = validator.validate_or_error({"example": "abc"})
assert dict(error) == {"example": "Must be a number."}
validator = Object(pattern_properties={"^x-.*$": Integer()})
value, error = validator.validate_or_error({"x-example": "123"})
assert value == {"x-example": 123}
validator = Object(pattern_properties={"^x-.*$": Integer()})
value, error = validator.validate_or_error({"x-example": "abc"})
assert dict(error) == {"x-example": "Must be a number."}
validator = Object(properties={"example": Integer(default=0)})
value, error = validator.validate_or_error({"example": "123"})
assert value == {"example": 123}
validator = Object(properties={"example": Integer(default=0)})
value, error = validator.validate_or_error({})
assert value == {"example": 0}
validator = Object(additional_properties=False)
value, error = validator.validate_or_error({"example": "123"})
assert dict(error) == {"example": "Invalid property name."}
validator = Object(additional_properties=True)
value, error = validator.validate_or_error({"example": "abc"})
assert value == {"example": "abc"}
validator = Object(additional_properties=None)
value, error = validator.validate_or_error({"example": "abc"})
assert value == {}
validator = Object(properties=Integer())
value, error = validator.validate_or_error({"example": "123"})
assert value == {"example": 123}
validator = Object(properties=Integer())
value, error = validator.validate_or_error({"example": "abc"})
assert dict(error) == {"example": "Must be a number."}
validator = Object(properties={"example": Integer()})
value, error = validator.validate_or_error({"example": "123"})
assert value == {"example": 123}
validator = Object(properties={"example": Integer()})
value, error = validator.validate_or_error({"example": "abc"})
assert dict(error) == {"example": "Must be a number."}
validator = Object(additional_properties=Object(
additional_properties=Integer()))
value, error = validator.validate_or_error({"example": {"nested": "123"}})
assert value == {"example": {"nested": 123}}
validator = Object(additional_properties=Object(
additional_properties=Integer()))
value, error = validator.validate_or_error({"example": {"nested": "abc"}})
assert dict(error) == {"example": {"nested": "Must be a number."}}
def test_integer():
validator = Integer()
value, error = validator.validate_or_error(123)
assert value == 123
validator = Integer()
value, error = validator.validate_or_error("123")
assert value == 123
validator = Integer()
value, error = validator.validate_or_error(123.0)
assert value == 123
validator = Integer()
value, error = validator.validate_or_error("123.0")
assert value == 123
validator = Integer()
value, error = validator.validate_or_error(None)
assert error == ValidationError(text="May not be null.", code="null")
validator = Integer()
value, error = validator.validate_or_error("abc")
assert error == ValidationError(text="Must be a number.", code="type")
validator = Integer()
value, error = validator.validate_or_error(True)
assert error == ValidationError(text="Must be a number.", code="type")
validator = Integer()
value, error = validator.validate_or_error(123.1)
assert error == ValidationError(text="Must be an integer.", code="integer")
validator = Integer()
value, error = validator.validate_or_error(float("inf"))
assert error == ValidationError(text="Must be an integer.", code="integer")
validator = Integer()
value, error = validator.validate_or_error(float("nan"))
assert error == ValidationError(text="Must be an integer.", code="integer")
validator = Integer()
value, error = validator.validate_or_error("123", strict=True)
assert error == ValidationError(text="Must be a number.", code="type")
validator = Integer(allow_null=True)
value, error = validator.validate_or_error(None)
assert value is None
assert error is None
validator = Integer(allow_null=True)
value, error = validator.validate_or_error("")
assert value is None
assert error is None
validator = Integer(allow_null=True)
value, error = validator.validate_or_error("", strict=True)
assert error == ValidationError(text="Must be a number.", code="type")
validator = Integer(maximum=10)
value, error = validator.validate_or_error(100)
assert error == ValidationError(text="Must be less than or equal to 10.",
code="maximum")
validator = Integer(maximum=10)
value, error = validator.validate_or_error(10)
assert value == 10
validator = Integer(minimum=3)
value, error = validator.validate_or_error(1)
assert error == ValidationError(text="Must be greater than or equal to 3.",
code="minimum")
validator = Integer(minimum=3)
value, error = validator.validate_or_error(3)
assert value == 3
validator = Integer(exclusive_maximum=10)
value, error = validator.validate_or_error(10)
assert error == ValidationError(text="Must be less than 10.",
code="exclusive_maximum")
validator = Integer(exclusive_minimum=3)
value, error = validator.validate_or_error(3)
assert error == ValidationError(text="Must be greater than 3.",
code="exclusive_minimum")
validator = Integer(multiple_of=10)
value, error = validator.validate_or_error(5)
assert error == ValidationError(text="Must be a multiple of 10.",
code="multiple_of")
def test_validation_error_is_hashable():
validator = Integer()
_, error = validator.validate_or_error("abc")
hash(error)