operation_id = f"{operation_id}_{method.lower()}"
    return operation_id


def generate_unique_id(route: "APIRoute") -> str:
    operation_id = f"{route.name}{route.path_format}"
    operation_id = re.sub(r"\W", "_", operation_id)
    assert route.methods
    operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
    return operation_id

setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:

    return generate_operation_id_for_path(name=route.name, path=path, method=method)


def generate_operation_summary(*, route: routing.APIRoute, method: str) -> str:
    if route.summary:
        return route.summary
    return route.name.replace("_", " ").title()


def get_openapi_operation_metadata(
    *, route: routing.APIRoute, method: str, operation_ids: Set[str]
) -> Dict[str, Any]:

            summary=summary,
            description=description,
            response_description=response_description,
            responses=responses,
            deprecated=deprecated,
            methods=methods,
            operation_id=operation_id,
            response_model_include=response_model_include,
            response_model_exclude=response_model_exclude,

        self.name = get_name(endpoint) if name is None else name
        self.path_regex, self.path_format, self.param_convertors = compile_path(path)
        if methods is None:
            methods = ["GET"]
        self.methods: Set[str] = {method.upper() for method in methods}
        if isinstance(generate_unique_id_function, DefaultPlaceholder):
            current_generate_unique_id: Callable[
                ["APIRoute"], str