How to use the feast.sdk.utils.print_utils.spec_to_yaml function in feast

def dump(self, path):
        """Dump the import spec to the provided path
        
        Arguments:
            path (str): path to dump the spec to
        """

        with open(path, "w") as f:
            f.write(spec_to_yaml(self.spec))
        print("Saved spec to {}".format(path))

def __str__(self):
        """Print the feature in yaml format
        
        Returns:
            str: yaml formatted representation of the entity
        """
        return spec_to_yaml(self.__spec)

def __str__(self):
        """Print the feature in yaml format
        
        Returns:
            str: yaml formatted representation of the entity
        """
        return spec_to_yaml(self.__spec)

def describe(self):
        """Print out the import spec.
        """
        print(spec_to_yaml(self.spec))

"""
        if apply_entity:
            self._apply_entity(importer.entity)
        if apply_features:
            for feature in importer.features:
                self._apply_feature(importer.features[feature])

        if importer.require_staging:
            print("Staging file to remote path {}".format(importer.remote_path))
            importer.stage(feast_client=self)

        request = JobServiceTypes.SubmitImportJobRequest(importSpec=importer.spec)
        if name_override is not None:
            request.name = name_override

        print("Submitting job with spec:\n {}".format(spec_to_yaml(importer.spec)))
        self._connect_core()
        response = self._job_service_stub.SubmitJob(request)
        print("Submitted job with id: {}".format(response.jobId))
        return response.jobId

def __str__(self):
        """Return string representation of the feature group
        
        Returns:
            str: yaml formatted representation of the entity
        """
        return spec_to_yaml(self.__spec)

def __str__(self):
        """Return string representation the storage in yaml format

        Returns:
            str: yaml formatted representation of the entity
        """
        return spec_to_yaml(self.__spec)