infra: move indexing documentation test (#16595)

libs/community/tests/unit_tests/vectorstores/test_indexing_docs.py

@@ -0,0 +1,83 @@
+from langchain_core.vectorstores import VectorStore
+
+import langchain_community.vectorstores
+
+
+def test_compatible_vectorstore_documentation() -> None:
+    """Test which vectorstores are compatible with the indexing API.
+
+    This serves as a reminder to update the documentation in [1]
+    that specifies which vectorstores are compatible with the
+    indexing API.
+
+    Ideally if a developer adds a new vectorstore or modifies
+    an existing one in such a way that affects its compatibility
+    with the Indexing API, he/she will see this failed test
+    case and 1) update docs in [1] and 2) update the `documented`
+    dict in this test case.
+
+    [1] langchain/docs/docs_skeleton/docs/modules/data_connection/indexing.ipynb
+    """
+
+    # Check if a vectorstore is compatible with the indexing API
+    def check_compatibility(vector_store: VectorStore) -> bool:
+        """Check if a vectorstore is compatible with the indexing API."""
+        methods = ["delete", "add_documents"]
+        for method in methods:
+            if not hasattr(vector_store, method):
+                return False
+        # Checking if the vectorstore has overridden the default delete method
+        # implementation which just raises a NotImplementedError
+        if getattr(vector_store, "delete") == VectorStore.delete:
+            return False
+        return True
+
+    # Check all vector store classes for compatibility
+    compatible = set()
+    for class_name in langchain_community.vectorstores.__all__:
+        # Get the definition of the class
+        cls = getattr(langchain_community.vectorstores, class_name)
+
+        # If the class corresponds to a vectorstore, check its compatibility
+        if issubclass(cls, VectorStore):
+            is_compatible = check_compatibility(cls)
+            if is_compatible:
+                compatible.add(class_name)
+
+    # These are mentioned in the indexing.ipynb documentation
+    documented = {
+        "AnalyticDB",
+        "AstraDB",
+        "AzureCosmosDBVectorSearch",
+        "AwaDB",
+        "Bagel",
+        "Cassandra",
+        "Chroma",
+        "DashVector",
+        "DatabricksVectorSearch",
+        "DeepLake",
+        "Dingo",
+        "ElasticVectorSearch",
+        "ElasticsearchStore",
+        "FAISS",
+        "HanaDB",
+        "MomentoVectorIndex",
+        "MyScale",
+        "PGVector",
+        "Pinecone",
+        "Qdrant",
+        "Redis",
+        "ScaNN",
+        "SemaDB",
+        "SupabaseVectorStore",
+        "SurrealDBStore",
+        "TileDB",
+        "TimescaleVector",
+        "Vald",
+        "Vearch",
+        "VespaStore",
+        "Weaviate",
+        "ZepVectorStore",
+        "Lantern",
+    }
+    assert compatible == documented

libs/langchain/tests/unit_tests/indexes/test_indexing.py

@@ -12,7 +12,6 @@ from typing import (
 )
 from unittest.mock import patch
 
-import langchain_community.vectorstores
 import pytest
 import pytest_asyncio
 from langchain_community.document_loaders.base import BaseLoader
@@ -1174,83 +1173,3 @@ async def test_aindexing_force_update(
         "num_skipped": 0,
         "num_updated": 2,
     }
-
-
-def test_compatible_vectorstore_documentation() -> None:
-    """Test which vectorstores are compatible with the indexing API.
-
-    This serves as a reminder to update the documentation in [1]
-    that specifies which vectorstores are compatible with the
-    indexing API.
-
-    Ideally if a developer adds a new vectorstore or modifies
-    an existing one in such a way that affects its compatibility
-    with the Indexing API, he/she will see this failed test
-    case and 1) update docs in [1] and 2) update the `documented`
-    dict in this test case.
-
-    [1] langchain/docs/docs_skeleton/docs/modules/data_connection/indexing.ipynb
-    """
-
-    # Check if a vectorstore is compatible with the indexing API
-    def check_compatibility(vector_store: VectorStore) -> bool:
-        """Check if a vectorstore is compatible with the indexing API."""
-        methods = ["delete", "add_documents"]
-        for method in methods:
-            if not hasattr(vector_store, method):
-                return False
-        # Checking if the vectorstore has overridden the default delete method
-        # implementation which just raises a NotImplementedError
-        if getattr(vector_store, "delete") == VectorStore.delete:
-            return False
-        return True
-
-    # Check all vector store classes for compatibility
-    compatible = set()
-    for class_name in langchain_community.vectorstores.__all__:
-        # Get the definition of the class
-        cls = getattr(langchain_community.vectorstores, class_name)
-
-        # If the class corresponds to a vectorstore, check its compatibility
-        if issubclass(cls, VectorStore):
-            is_compatible = check_compatibility(cls)
-            if is_compatible:
-                compatible.add(class_name)
-
-    # These are mentioned in the indexing.ipynb documentation
-    documented = {
-        "AnalyticDB",
-        "AstraDB",
-        "AzureCosmosDBVectorSearch",
-        "AwaDB",
-        "Bagel",
-        "Cassandra",
-        "Chroma",
-        "DashVector",
-        "DatabricksVectorSearch",
-        "DeepLake",
-        "Dingo",
-        "ElasticVectorSearch",
-        "ElasticsearchStore",
-        "FAISS",
-        "HanaDB",
-        "MomentoVectorIndex",
-        "MyScale",
-        "PGVector",
-        "Pinecone",
-        "Qdrant",
-        "Redis",
-        "ScaNN",
-        "SemaDB",
-        "SupabaseVectorStore",
-        "SurrealDBStore",
-        "TileDB",
-        "TimescaleVector",
-        "Vald",
-        "Vearch",
-        "VespaStore",
-        "Weaviate",
-        "ZepVectorStore",
-        "Lantern",
-    }
-    assert compatible == documented