)
from .shared import lenient_issubclass as lenient_issubclass
from .shared import sequence_types as sequence_types
from .shared import value_is_sequence as value_is_sequence
from .v2 import ModelField as ModelField
from .v2 import PydanticSchemaGenerationError as PydanticSchemaGenerationError
from .v2 import RequiredParam as RequiredParam
from .v2 import Undefined as Undefined
from .v2 import Url as Url

from pydantic.fields import FieldInfo


def test_model_field_default_required():
    from fastapi._compat import v2

    # For coverage
    field_info = FieldInfo(annotation=str)
    field = v2.ModelField(name="foo", field_info=field_info)
    assert field.default is Undefined


def test_complex():
    app = FastAPI()

    @app.post("/")
    def foo(foo: str | list[int]):
        return foo

    return func


@dataclass
class Dependant:
    path_params: list[ModelField] = field(default_factory=list)
    query_params: list[ModelField] = field(default_factory=list)
    header_params: list[ModelField] = field(default_factory=list)
    cookie_params: list[ModelField] = field(default_factory=list)
    body_params: list[ModelField] = field(default_factory=list)
    dependencies: list["Dependant"] = field(default_factory=list)

) -> ModelField:
    if annotation_is_pydantic_v1(type_):
        raise PydanticV1NotSupportedError(
            "pydantic.v1 models are no longer supported by FastAPI."
            f" Please update the response model {type_!r}."
        )
    field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    try:
        return v2.ModelField(mode=mode, name=name, field_info=field_info)