from .v2 import copy_field_info as copy_field_info
from .v2 import create_body_model as create_body_model
from .v2 import evaluate_forwardref as evaluate_forwardref  # ty: ignore[deprecated]
from .v2 import get_cached_model_fields as get_cached_model_fields
from .v2 import get_definitions as get_definitions
from .v2 import get_flat_models_from_fields as get_flat_models_from_fields
from .v2 import get_missing_field_error as get_missing_field_error

    copy_field_info,
    create_body_model,
    evaluate_forwardref,  # ty: ignore[deprecated]
    field_annotation_is_scalar,
    field_annotation_is_scalar_sequence,
    field_annotation_is_sequence,
    get_cached_model_fields,
    get_missing_field_error,
    is_bytes_or_nonable_bytes_annotation,
    is_bytes_sequence_annotation,
    is_scalar_field,
    is_uploadfile_or_nonable_uploadfile_annotation,

                field_info=field_info,
                name=name,
                config=model_config,
            )
        )
    return model_fields


@lru_cache
def get_cached_model_fields(model: type[BaseModel]) -> list[ModelField]:
    return get_model_fields(model)


# Duplicate of several schema functions from Pydantic v1 to make them compatible with
# Pydantic v2 and allow mixing the models