Mark knn.filtered as abstractproperty

Author: FlorentinD

graphdatascience/procedure_surface/api/similarity/knn_endpoints.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from abc import ABC, abstractmethod
+from abc import ABC, abstractmethod, abstractproperty
 from typing import Any
 
 from pandas import DataFrame
@@ -16,7 +16,7 @@
 
 
 class KnnEndpoints(ABC):
-    @abstractmethod
+    @abstractproperty
     def filtered(self) -> KnnFilteredEndpoints:
         pass
 

graphdatascience/session/session_v2_endpoints.py

@@ -65,7 +65,6 @@
 from graphdatascience.procedure_surface.arrow.node_embedding.hashgnn_arrow_endpoints import HashGNNArrowEndpoints
 from graphdatascience.procedure_surface.arrow.node_embedding.node2vec_arrow_endpoints import Node2VecArrowEndpoints
 from graphdatascience.procedure_surface.arrow.similarity.knn_arrow_endpoints import KnnArrowEndpoints
-from graphdatascience.procedure_surface.arrow.similarity.knn_filtered_arrow_endpoints import KnnFilteredArrowEndpoints
 from graphdatascience.query_runner.query_runner import QueryRunner
 
 

graphdatascience/tests/integrationV2/procedure_surface/session/test_session_endpoint_coverage.py

@@ -3,9 +3,7 @@
 
 import pytest
 
-from graphdatascience import QueryRunner, ServerVersion
 from graphdatascience.arrow_client.authenticated_flight_client import AuthenticatedArrowClient
-from graphdatascience.session.aura_graph_data_science import AuraGraphDataScience
 from graphdatascience.session.session_v2_endpoints import SessionV2Endpoints
 
 MISSING_ALGO_ENDPOINTS = {