chore: import upstream snapshot with attribution

tests/vectorstore/test_vector_creator.py

@@ -0,0 +1,39 @@
+from unittest.mock import patch
+
+import pytest
+
+from application.vectorstore.vector_creator import VectorCreator
+
+
+@pytest.mark.unit
+class TestVectorCreator:
+    def test_registered_vectorstores(self):
+        assert "faiss" in VectorCreator.vectorstores
+        assert "elasticsearch" in VectorCreator.vectorstores
+        assert "mongodb" in VectorCreator.vectorstores
+        assert "qdrant" in VectorCreator.vectorstores
+        assert "milvus" in VectorCreator.vectorstores
+        assert "pgvector" in VectorCreator.vectorstores
+
+    def test_create_vectorstore_invalid_type(self):
+        with pytest.raises(ValueError, match="No vectorstore class found for type"):
+            VectorCreator.create_vectorstore("nonexistent")
+
+    def test_create_vectorstore_case_insensitive(self):
+        with patch.object(
+            VectorCreator.vectorstores["faiss"], "__init__", return_value=None
+        ) as mock_init:
+            mock_init.return_value = None
+            VectorCreator.create_vectorstore("FAISS", source_id="test", embeddings_key="key")
+            mock_init.assert_called_once_with(source_id="test", embeddings_key="key")
+
+    def test_create_vectorstore_passes_args(self):
+        with patch.object(
+            VectorCreator.vectorstores["mongodb"], "__init__", return_value=None
+        ) as mock_init:
+            VectorCreator.create_vectorstore(
+                "mongodb", source_id="src1", embeddings_key="ek", database="mydb"
+            )
+            mock_init.assert_called_once_with(
+                source_id="src1", embeddings_key="ek", database="mydb"
+            )