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from dataclasses import InitVar, dataclass, field
from typing import Generic, TypeVar
import pytest
from apischema import settings
from apischema.deserialization import get_deserialization_flattened_aliases
from apischema.metadata import flatten, init_var
from apischema.objects import object_fields
@dataclass
class A:
a: int
b: "B" = field(metadata=flatten)
c: "C[int]" = field(metadata=flatten)
d: "D" = field(metadata=flatten)
e: InitVar[int] = field(metadata=init_var(int))
f: int = field(init=False)
@dataclass
class B:
g: int
T = TypeVar("T")
@dataclass
class C(Generic[T]):
h: T
@dataclass
class D(Generic[T]):
i: T
@dataclass
class Data:
field: A = field(metadata=flatten)
def test_flattened_aliases():
aliases = get_deserialization_flattened_aliases(
Data, object_fields(Data)["field"], settings.deserialization.default_conversion
)
assert set(aliases) == {"a", "g", "h", "i", "e"}
@dataclass
class BadData:
field: int = field(metadata=flatten)
def test_invalid_flattened():
with pytest.raises(TypeError):
list(
get_deserialization_flattened_aliases(
BadData,
object_fields(BadData)["field"],
settings.deserialization.default_conversion,
)
)
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