def test_add_documents_with_custom_vector_field_no_content(self):
        """
        Add a document with a custom vector field with no content:
        Content should be autofilled with ""
        mock call to vespa client
        Structured and unstructured should have different calls.
        """
        for index in self.indexes:
            mock_feed_batch = mock.MagicMock()
            mock_feed_batch.return_value = FeedBatchResponse(
                responses=[FeedBatchDocumentResponse(
                    status=200,
                    pathId='/document/v1/aa5ed6d56e6aa4a048d95b496b79659f9/aa5ed6d56e6aa4a048d95b496b79659f9/docid/0',
                    id='id:aa5ed6d56e6aa4a048d95b496b79659f9:aa5ed6d56e6aa4a048d95b496b79659f9::0', message=None)
                ],
                errors=False)

            @mock.patch("marqo.vespa.vespa_client.VespaClient.feed_batch", mock_feed_batch)
            def run():
                self.add_documents(
                    config=self.config, add_docs_params=AddDocsParams(
                        index_name=index.name,
                        docs=[{
                            "_id": "0",
                            "my_custom_vector": {
                                # No custom content
                                "vector": self.random_vector_1
                            }
                        }],
                        device="cpu",
                        mappings=self.mappings if isinstance(index, UnstructuredMarqoIndex) else None,
                        tensor_fields=["my_custom_vector"] if isinstance(index, UnstructuredMarqoIndex) else None
                    )
                )
                return True

            assert run()

            call_args = mock_feed_batch.call_args_list
            assert len(call_args) == 1

            feed_batch_args = call_args[0].args
            self.assertIsInstance(feed_batch_args[0][0], VespaDocument)
            vespa_fields = feed_batch_args[0][0].fields
            if isinstance(index, (StructuredMarqoIndex, SemiStructuredMarqoIndex)):
                self.assertEqual(vespa_fields["marqo__chunks_my_custom_vector"], [""])
                self.assertEqual(vespa_fields["marqo__embeddings_my_custom_vector"], {"0": self.random_vector_1})

            elif isinstance(index, UnstructuredMarqoIndex):
                self.assertEqual(vespa_fields["marqo__strings"], [""])
                self.assertEqual(vespa_fields["marqo__short_string_fields"], {"my_custom_vector": ""})
                self.assertEqual(vespa_fields["marqo__chunks"], ['my_custom_vector::'])
                self.assertEqual(vespa_fields["marqo__embeddings"], {"0": self.random_vector_1})

            self.assertEqual(vespa_fields["marqo__vector_count"], 1)

        Add a document with a custom vector field with no content:
        Content should be autofilled with ""
        mock call to vespa client
        Structured and unstructured should have different calls.
        
tests/integ_tests/tensor_search/integ_tests/test_custom_vector_field.py