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from dataclasses import dataclass
from datetime import date
from typing import Any, Generic, Iterator, Mapping, Tuple, TypeVar
import pytest
from typing_extensions import Self
from mashumaro import DataClassDictMixin
from mashumaro.exceptions import UnserializableField
from mashumaro.types import Alias, SerializableType
from tests.entities import GenericSerializableList, GenericSerializableWrapper
XT = TypeVar("XT")
YT = TypeVar("YT")
class MySerializableType(SerializableType):
def __init__(self, value):
self.value = value
def _serialize(self):
return self.value.isoformat()
@classmethod
def _deserialize(cls, value):
return cls(date.fromisoformat(value))
class MyAnnotatedSerializableType(SerializableType, use_annotations=True):
def __init__(self, value: date):
self.value = value
def _serialize(self) -> date:
return self.value
@classmethod
def _deserialize(cls, value: date):
return cls(value)
class MyAnnotatedSerializableTypeWithoutAnnotationsInDeserialize(
SerializableType, use_annotations=True
):
def __init__(self, value): # pragma: no cover
self.value = value
def _serialize(self) -> date: # pragma: no cover
return self.value
@classmethod
def _deserialize(cls, value): # pragma: no cover
return cls(value)
class MyAnnotatedSerializableTypeWithoutAnnotationsInSerialize(
SerializableType, use_annotations=True
):
def __init__(self, value): # pragma: no cover
self.value = value
def _serialize(self): # pragma: no cover
return self.value
@classmethod
def _deserialize(cls, value: date): # pragma: no cover
return cls(value)
class MyAnnotatedGenericSerializableType(
Generic[XT, YT], SerializableType, use_annotations=True
):
def __init__(self, value: Tuple[XT, YT]):
self.value = value
def _serialize(self) -> Tuple[YT, XT]:
return tuple(reversed(self.value))
@classmethod
def _deserialize(cls, value: Tuple[XT, YT]):
return cls(value)
class MyAnnotatedGenericSerializableTypeWithMixedTypeVars(
Generic[XT], SerializableType, use_annotations=True
):
def __init__(self, value):
self.value = value
def _serialize(self) -> Tuple[int, XT, float]:
return self.value
@classmethod
def _deserialize(cls, value: Tuple[int, XT, float]):
return cls(value)
class MyAnnotatedGenericPEP585SerializableType(
Generic[XT, YT], SerializableType, use_annotations=True
):
def __init__(self, value: tuple[XT, YT]):
self.value = value
def _serialize(self) -> tuple[YT, XT]:
return tuple(reversed(self.value))
@classmethod
def _deserialize(cls, value: tuple[XT, YT]):
return cls(value)
class MyMapping(Mapping[XT, YT], SerializableType, use_annotations=True):
def __init__(self, value: Mapping[Any, Any]):
self.value = value
def _serialize(self) -> Mapping[XT, YT]:
return self.value
@classmethod
def _deserialize(cls, mapping: Mapping[XT, YT]):
return cls(mapping)
def __getitem__(self, __k: XT) -> YT:
return self.value[__k]
def __len__(self) -> int: # pragma: no cover
return len(self.value)
def __iter__(self) -> Iterator[XT]:
return iter(self.value)
def __repr__(self): # pragma: no cover
return f"<MyMapping: {repr(self.value)}>"
class MyAnnotatedUserGenericSerializableType(
Generic[XT, YT], SerializableType, use_annotations=True
):
def __init__(self, value: MyMapping[XT, YT]):
self.value = value
def _serialize(self) -> MyMapping[XT, YT]:
return self.value
@classmethod
def _deserialize(cls, value: MyMapping[XT, YT]):
return cls(value)
def __repr__(self): # pragma: no cover
return f"<MyAnnotatedUserGenericSerializableType: {repr(self.value)}>"
class MySelfSerializableType(SerializableType, use_annotations=True):
def _serialize(self) -> Self:
return self
@classmethod
def _deserialize(cls, value: Self) -> Self:
return value
def test_generic_serializable_list_int():
@dataclass
class DataClass(DataClassDictMixin):
x: GenericSerializableList[int]
obj = DataClass(x=GenericSerializableList([1, 2, 3]))
assert DataClass.from_dict({"x": [3, 4, 5]}) == obj
assert obj.to_dict() == {"x": [3, 4, 5]}
def test_generic_serializable_list_str():
@dataclass
class DataClass(DataClassDictMixin):
x: GenericSerializableList[str]
obj = DataClass(x=GenericSerializableList(["a", "b", "c"]))
assert DataClass.from_dict({"x": ["_a", "_b", "_c"]}) == obj
assert obj.to_dict() == {"x": ["_a", "_b", "_c"]}
def test_generic_serializable_wrapper_with_type_from_another_module():
@dataclass
class DataClass(DataClassDictMixin):
x: GenericSerializableWrapper[date]
obj = DataClass(x=GenericSerializableWrapper(date(2022, 12, 8)))
assert DataClass.from_dict({"x": "2022-12-08"}) == obj
assert obj.to_dict() == {"x": "2022-12-08"}
def test_simple_serializable_type():
@dataclass
class DataClass(DataClassDictMixin):
x: MySerializableType
obj = DataClass.from_dict({"x": "2022-12-07"})
assert obj.x.value == date(2022, 12, 7)
assert obj.to_dict() == {"x": "2022-12-07"}
def test_annotated_serializable_type():
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedSerializableType
obj = DataClass.from_dict({"x": "2022-12-07"})
assert obj.x.value == date(2022, 12, 7)
assert obj.to_dict() == {"x": "2022-12-07"}
def test_annotated_serializable_type_without_annotations_in_deserialize():
with pytest.raises(UnserializableField) as e:
@dataclass
class _(DataClassDictMixin):
x: MyAnnotatedSerializableTypeWithoutAnnotationsInDeserialize
assert (
e.value.msg
== 'Method _deserialize must have annotated "value" argument'
)
def test_annotated_serializable_type_without_annotations_in_serialize():
with pytest.raises(UnserializableField) as e:
@dataclass
class _(DataClassDictMixin):
x: MyAnnotatedSerializableTypeWithoutAnnotationsInSerialize
assert e.value.msg == "Method _serialize must have return annotation"
def test_annotated_generic_serializable_type():
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericSerializableType
obj = DataClass.from_dict({"x": ["2022-12-07", "3.14"]})
assert obj.x.value == ("2022-12-07", "3.14")
assert obj.to_dict() == {"x": ["3.14", "2022-12-07"]}
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericSerializableType[date, float]
obj = DataClass.from_dict({"x": ["2022-12-07", "3.14"]})
assert obj.x.value == (date(2022, 12, 7), 3.14)
assert obj.to_dict() == {"x": [3.14, "2022-12-07"]}
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericSerializableType[date, YT]
obj = DataClass.from_dict({"x": ["2022-12-07", "3.14"]})
assert obj.x.value == (date(2022, 12, 7), "3.14")
assert obj.to_dict() == {"x": ["3.14", "2022-12-07"]}
def test_annotated_generic_pep585_serializable_type():
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericPEP585SerializableType
obj = DataClass.from_dict({"x": ["2022-12-07", "3.14"]})
assert obj.x.value == ("2022-12-07", "3.14")
assert obj.to_dict() == {"x": ["3.14", "2022-12-07"]}
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericSerializableType[date, float]
obj = DataClass.from_dict({"x": ["2022-12-07", "3.14"]})
assert obj.x.value == (date(2022, 12, 7), 3.14)
assert obj.to_dict() == {"x": [3.14, "2022-12-07"]}
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericSerializableType[date, YT]
obj = DataClass.from_dict({"x": ["2022-12-07", "3.14"]})
assert obj.x.value == (date(2022, 12, 7), "3.14")
assert obj.to_dict() == {"x": ["3.14", "2022-12-07"]}
def test_annotated_user_generic_serializable_type():
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedUserGenericSerializableType
obj = DataClass.from_dict({"x": {"2022-12-07": "3.14"}})
assert type(obj.x.value) is MyMapping
assert dict(obj.x.value) == {"2022-12-07": "3.14"}
assert obj.to_dict() == {"x": {"2022-12-07": "3.14"}}
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedUserGenericSerializableType[date, float]
obj = DataClass.from_dict({"x": {"2022-12-07": "3.14"}})
assert type(obj.x.value) is MyMapping
assert dict(obj.x.value) == {date(2022, 12, 7): 3.14}
assert obj.to_dict() == {"x": {"2022-12-07": 3.14}}
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedUserGenericSerializableType[date, YT]
obj = DataClass.from_dict({"x": {"2022-12-07": "3.14"}})
assert type(obj.x.value) is MyMapping
assert dict(obj.x.value) == {date(2022, 12, 7): "3.14"}
assert obj.to_dict() == {"x": {"2022-12-07": "3.14"}}
def test_serializable_type_inheritance():
class MySerializableType2(MySerializableType, use_annotations=True):
pass
assert MySerializableType2.__use_annotations__
class MySerializableType3(MySerializableType2):
pass
assert MySerializableType3.__use_annotations__
class MySerializableType4(MySerializableType3, use_annotations=False):
pass
assert not MySerializableType4.__use_annotations__
def test_serializable_type_with_self():
@dataclass
class DataClass(DataClassDictMixin):
x: MySelfSerializableType
obj = DataClass(MySelfSerializableType())
assert obj.to_dict() == {"x": obj.x}
assert DataClass.from_dict({"x": obj.x}) == obj
def test_annotated_generic_serializable_type_with_mixed_type_vars():
@dataclass
class DataClass(DataClassDictMixin):
x: MyAnnotatedGenericSerializableTypeWithMixedTypeVars[date]
obj = DataClass.from_dict({"x": ["1", "2022-05-29", "2.3"]})
# assert obj.x.value == (1, date(2022, 5, 29), 2.3)
assert obj.to_dict() == {"x": [1, "2022-05-29", 2.3]}
def test_alias():
x1 = Alias("x")
x2 = Alias("x")
y = Alias("y")
assert x1 == x2
assert hash(x1) == hash(x2)
assert x1 != y
assert x1 != "x"
assert hash(x1) != hash(y)
assert str(y) == "Alias(name='y')"
assert repr(y) == "Alias(name='y')"
|
