token: SecretStr
    debug: bool | None = False
    config: dict[str, LabelSettings] | Literal[""] = default_config


settings = Settings()
if settings.debug:
    logging.basicConfig(level=logging.DEBUG)
else:
    logging.basicConfig(level=logging.INFO)
logging.debug(f"Using config: {settings.json()}")
g = Github(settings.token.get_secret_value())
repo = g.get_repo(settings.github_repository)

class Settings(BaseSettings):
    github_repository: str
    github_token: SecretStr
    deploy_url: str | None = None
    commit_sha: str
    run_id: int
    is_done: bool = False


def main():
    logging.basicConfig(level=logging.INFO)
    settings = Settings()

    logging.info(f"Using config: {settings.model_dump_json()}")
    g = Github(settings.github_token.get_secret_value())
    repo = g.get_repo(settings.github_repository)

    get_cached_model_fields,
    get_model_fields,
    is_bytes_sequence_annotation,
    is_scalar_field,
    is_uploadfile_sequence_annotation,
)
from fastapi.testclient import TestClient
from pydantic import BaseConfig, BaseModel, ConfigDict
from pydantic.fields import FieldInfo

from .utils import needs_pydanticv1, needs_pydanticv2


@needs_pydanticv2
def test_model_field_default_required():
    # For coverage

    name: str,
    type_: Any,
    class_validators: Optional[Dict[str, Validator]] = None,
    default: Optional[Any] = Undefined,
    required: Union[bool, UndefinedType] = Undefined,
    model_config: Type[BaseConfig] = BaseConfig,
    field_info: Optional[FieldInfo] = None,
    alias: Optional[str] = None,
    mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
    class_validators = class_validators or {}