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import typing as t
from dataclasses import dataclass
from datetime import datetime, timezone
from enum import Enum
from pathlib import PurePath, PurePosixPath, PureWindowsPath
import pytest
from ellar.common.serializer.base import (
Serializer,
SerializerFilter,
serialize_object,
)
from ellar.core import injector_context
from ellar.pydantic import as_pydantic_validator
from ellar.testing import Test
from pydantic import BaseModel, Field, RootModel
class Person:
def __init__(self, name: str):
self.name = name
@dataclass
class DataclassPerson:
name: str
first_name: str
last_name: t.Optional[str] = None
@dataclass
class PlainDataclassPerson:
name: str
first_name: str
last_name: t.Optional[str] = None
class Pet:
def __init__(self, owner: Person, name: str):
self.owner = owner
self.name = name
class DictablePerson(Person):
def __iter__(self):
return ((k, v) for k, v in self.__dict__.items())
class DictablePet(Pet):
def __iter__(self):
return ((k, v) for k, v in self.__dict__.items())
class Unserializable:
def __iter__(self):
raise NotImplementedError()
@property
def __dict__(self):
raise NotImplementedError()
class ModelWithCustomEncoder(BaseModel):
dt_field: datetime
class Config:
json_encoders = {
datetime: lambda dt: dt.replace(
microsecond=0, tzinfo=timezone.utc
).isoformat()
}
class ModelWithCustomEncoderSubclass(ModelWithCustomEncoder):
class Config:
pass
class RoleEnum(Enum):
admin = "admin"
normal = "normal"
class ModelWithConfig(BaseModel):
role: t.Optional[RoleEnum] = None
class Config:
use_enum_values = True
class ModelWithAlias(BaseModel):
foo: str = Field(..., alias="Foo")
class ModelWithDefault(Serializer):
foo: str = ... # type: ignore
bar: str = "bar"
bla: str = "bla"
cat: t.Optional[str] = None
ModelWithRoot = RootModel[str]
# def test_convert_dataclass_to_pydantic_model():
# @dataclass
# class SomeDataClassConvert:
# name: str
#
# class SomeClassConvert:
# name: str
#
# assert getattr(SomeDataClassConvert, "__pydantic_complete__", None) is None
#
# pydantic_model = convert_dataclass_to_pydantic_model(SomeDataClassConvert)
# assert pydantic_model
# assert (
# getattr(pydantic_model, "__pydantic_complete__", None) is True
# ), "Converted dataclass is missing pydantic attribute"
#
# with pytest.raises(Exception, match="is not a dataclass"):
# convert_dataclass_to_pydantic_model(SomeClassConvert)
# def test_get_dataclass_pydantic_model():
# @pydantic_dataclasses.dataclass
# class SomeDataClassConvert2:
# name: str
#
# assert getattr(SomeDataClassConvert2, "__pydantic_complete__", None) is True
# pydantic_model = get_dataclass_pydantic_model(SomeDataClassConvert2)
# assert pydantic_model is SomeDataClassConvert2
def test_dataclass_serializer():
dataclass_person = DataclassPerson(name="Eadwin", first_name="Eadwin")
assert serialize_object(dataclass_person) == {
"name": "Eadwin",
"first_name": "Eadwin",
"last_name": None,
}
plain_dataclass = PlainDataclassPerson(name="Eadwin", first_name="Eadwin")
assert serialize_object(dataclass_person) == {
"name": "Eadwin",
"first_name": "Eadwin",
"last_name": None,
}
assert serialize_object(
plain_dataclass, serializer_filter=SerializerFilter(exclude_none=True)
) == {
"name": "Eadwin",
"first_name": "Eadwin",
"last_name": None,
}
def test_serializer_filter():
model = ModelWithDefault(foo="foo", bar="bar")
assert serialize_object(model) == {
"foo": "foo",
"bar": "bar",
"bla": "bla",
"cat": None,
}
assert serialize_object(
model, serializer_filter=SerializerFilter(exclude_none=True)
) == {"foo": "foo", "bar": "bar", "bla": "bla"}
assert serialize_object(
model, serializer_filter=SerializerFilter(exclude_defaults=True)
) == {"foo": "foo"}
assert serialize_object(
model,
serializer_filter=SerializerFilter(exclude_unset=True, exclude_defaults=True),
) == {"foo": "foo"}
def test_serializer_pydantic_similar_functions():
model = ModelWithDefault(foo="foo", bar="bar")
dump = model.dict(exclude_none=True)
assert dump == {"foo": "foo", "bar": "bar", "bla": "bla"}
json_string = model.serialize_json(SerializerFilter(exclude_none=True))
assert json_string == '{"foo":"foo","bar":"bar","bla":"bla"}'
def test_encode_class():
person = Person(name="Foo")
pet = Pet(owner=person, name="Firulais")
assert serialize_object(pet) == {"name": "Firulais", "owner": {"name": "Foo"}}
def test_encode_dictable():
person = DictablePerson(name="Foo")
pet = DictablePet(owner=person, name="Firulais")
assert serialize_object(pet) == {"name": "Firulais", "owner": {"name": "Foo"}}
def test_encode_unsupported():
unserializable = Unserializable()
with pytest.raises(ValueError):
serialize_object(unserializable)
def test_encode_custom_json_encoders_model():
model = ModelWithCustomEncoder(dt_field=datetime(2019, 1, 1, 8))
assert serialize_object(model) == {"dt_field": "2019-01-01T08:00:00+00:00"}
def test_encode_custom_json_encoders_model_subclass():
model = ModelWithCustomEncoderSubclass(dt_field=datetime(2019, 1, 1, 8))
assert serialize_object(model) == {"dt_field": "2019-01-01T08:00:00+00:00"}
def test_encode_model_with_config():
model = ModelWithConfig(role=RoleEnum.admin)
assert serialize_object(model) == {"role": "admin"}
def test_encode_model_with_alias():
model = ModelWithAlias(Foo="Bar")
assert serialize_object(model) == {"Foo": "Bar"}
def test_custom_encoders():
@as_pydantic_validator("__validate_schema__")
class safe_datetime(datetime):
@classmethod
def __validate_schema__(cls, __input_value, *args):
assert isinstance(__input_value, datetime)
return __input_value
class MyModel(BaseModel):
dt_field: safe_datetime
instance = MyModel(dt_field=safe_datetime.now())
encoded_instance = serialize_object(
instance, {safe_datetime: lambda o: o.isoformat()}
)
assert encoded_instance["dt_field"] == instance.dt_field.isoformat()
def test_encode_model_with_pure_path():
class ModelWithPath(BaseModel):
path: PurePath
model_config = {"arbitrary_types_allowed": True}
test_path = PurePath("/foo", "bar")
obj = ModelWithPath(path=test_path)
assert serialize_object(obj) == {"path": str(test_path)}
assert serialize_object(test_path) == str(test_path)
def test_encode_model_with_pure_posix_path():
class ModelWithPath(BaseModel):
path: PurePosixPath
model_config = {"arbitrary_types_allowed": True}
obj = ModelWithPath(path=PurePosixPath("/foo", "bar"))
assert serialize_object(obj) == {"path": "/foo/bar"}
assert serialize_object(PurePosixPath("/foo", "bar")) == "/foo/bar"
def test_encode_model_with_path(model_with_path):
if isinstance(model_with_path.path, PureWindowsPath):
expected = "\\foo\\bar"
else:
expected = "/foo/bar"
assert serialize_object(model_with_path) == {"path": expected}
def test_encode_root():
model = ModelWithRoot("Foo")
assert serialize_object(model) == "Foo"
async def test_serialize_object_under_app_context(anyio_backend):
decoder_func_called = False
def decoder_func(o):
nonlocal decoder_func_called
decoder_func_called = True
return o.isoformat()
class safe_datetime(datetime):
@classmethod
def __validate_schema__(cls, __input_value, *args):
assert isinstance(__input_value, datetime)
return __input_value
tm = Test.create_test_module(
config_module={"SERIALIZER_CUSTOM_ENCODER": {safe_datetime: decoder_func}}
)
async with injector_context(tm.create_application().injector):
result = serialize_object(safe_datetime.fromisocalendar(2023, 45, 5))
assert result == "2023-11-10T00:00:00"
assert decoder_func_called is True