passing non_tensor_fields to _batch

src/marqo/tensor_search/tensor_search.py

@@ -254,12 +254,12 @@ def add_documents_orchestrator(
             raise errors.InvalidArgError("Batch size can't be less than 1!")
         logger.info(f"batch_size={batch_size} and processes={processes} - batching using a single process")
         return _batch_request(config=config, index_name=index_name, dataset=docs, device=device,
-                              batch_size=batch_size, verbose=False)
+                              batch_size=batch_size, verbose=False, non_tensor_fields=non_tensor_fields)
 
 
 def _batch_request(config: Config, index_name: str, dataset: List[dict], 
                    batch_size: int = 100, verbose: bool = True, device=None,
-                   update_mode: str = 'replace') -> List[Dict[str, Any]]:
+                   update_mode: str = 'replace', non_tensor_fields: List[str] = []) -> List[Dict[str, Any]]:
         """Batch by the number of documents"""
         logger.info(f"starting batch ingestion in sizes of {batch_size}")
 
@@ -280,7 +280,7 @@ def verbosely_add_docs(i, docs):
             res = add_documents(
                 config=config, index_name=index_name,
                 docs=docs, auto_refresh=False, device=device,
-                update_mode=update_mode
+                update_mode=update_mode, non_tensor_fields=non_tensor_fields
             )
             total_batch_time = datetime.datetime.now() - t0
             num_docs = len(docs)

tests/tensor_search/test_add_documents.py

@@ -11,6 +11,7 @@
 from marqo.errors import IndexNotFoundError, InvalidArgError, BadRequestError
 from marqo.tensor_search import tensor_search, index_meta_cache, backend
 from tests.marqo_test import MarqoTestCase
+import time
 
 
 class TestAddDocuments(MarqoTestCase):
@@ -24,6 +25,14 @@ def setUp(self) -> None:
         except IndexNotFoundError as s:
             pass
 
+    def tearDown(self) -> None:
+        self.index_name_1 = "my-test-index-1"
+        try:
+            tensor_search.delete_index(config=self.config, index_name=self.index_name_1)
+        except IndexNotFoundError as s:
+            pass
+
+
     def _match_all(self, index_name, verbose=True):
         """Helper function"""
         res = requests.get(
@@ -876,7 +885,7 @@ def test_put_documents_orchestrator(self):
                   {"_id": "789", "Temp": 12.5},
                   ],
             auto_refresh=True, update_mode='update', processes=4, batch_size=1)
-
+        time.sleep(3)
         updated_doc = tensor_search.get_document_by_id(
             config=self.config, index_name=self.index_name_1, document_id='789'
         )
@@ -955,3 +964,68 @@ def run():
                 assert items[0]['result'] in ['created', 'updated']
                 return True
             assert run()
+
+    def test_no_tensor_field_replace(self):
+        # test replace and update workflows
+        tensor_search.add_documents(
+            self.config,
+            docs=[{"_id": "123", "myfield": "mydata", "myfield2": "mydata2"}],
+            auto_refresh=True, index_name=self.index_name_1
+        )
+        tensor_search.add_documents(
+            self.config,
+            docs=[{"_id": "123", "myfield": "mydata"}],
+            auto_refresh=True, index_name=self.index_name_1,
+            non_tensor_fields=["myfield"]
+        )
+        doc_w_facets = tensor_search.get_document_by_id(
+            self.config, index_name=self.index_name_1, document_id='123', show_vectors=True)
+        assert doc_w_facets[TensorField.tensor_facets] == []
+        assert 'myfield2' not in doc_w_facets
+
+    def test_no_tensor_field_update(self):
+        # test replace and update workflows
+        tensor_search.add_documents(
+            self.config,
+            docs=[{"_id": "123", "myfield": "mydata", "myfield2": "mydata2"}],
+            auto_refresh=True, index_name=self.index_name_1
+        )
+        tensor_search.add_documents(
+            self.config,
+            docs=[{"_id": "123", "myfield": "mydata"}],
+            auto_refresh=True, index_name=self.index_name_1,
+            non_tensor_fields=["myfield"], update_mode='update'
+        )
+        doc_w_facets = tensor_search.get_document_by_id(
+            self.config, index_name=self.index_name_1, document_id='123', show_vectors=True)
+        assert len(doc_w_facets[TensorField.tensor_facets]) == 1
+        assert 'myfield2' in doc_w_facets[TensorField.tensor_facets][0]
+        assert 'myfield' in doc_w_facets
+        assert 'myfield2' in doc_w_facets
+
+    def test_no_tensor_field_on_empty_ix(self):
+        tensor_search.add_documents(
+            self.config,
+            docs=[{"_id": "123", "myfield": "mydata"}],
+            auto_refresh=True, index_name=self.index_name_1,
+            non_tensor_fields=["myfield"]
+        )
+        doc_w_facets = tensor_search.get_document_by_id(
+            self.config, index_name=self.index_name_1, document_id='123', show_vectors=True)
+        assert doc_w_facets[TensorField.tensor_facets] == []
+        assert 'myfield' in doc_w_facets
+
+    def test_no_tensor_field_on_empty_ix_other_field(self):
+        tensor_search.add_documents(
+            self.config,
+            docs=[{"_id": "123", "myfield": "mydata", "myfield2": "mydata"}],
+            auto_refresh=True, index_name=self.index_name_1,
+            non_tensor_fields=["myfield"]
+        )
+        doc_w_facets = tensor_search.get_document_by_id(
+            self.config, index_name=self.index_name_1, document_id='123', show_vectors=True)
+        assert len(doc_w_facets[TensorField.tensor_facets]) == 1
+        assert 'myfield2' in doc_w_facets[TensorField.tensor_facets][0]
+        assert 'myfield' not in doc_w_facets[TensorField.tensor_facets][0]
+        assert 'myfield' in doc_w_facets
+        assert 'myfield2' in doc_w_facets