test(ariadne): cover cluster attention edges

ariadne/services/cluster_state_attention.py

@@ -104,12 +104,7 @@ def _workload_attention_entries(workloads_health: dict[str, Any]) -> list[dict[s
     return entries
 
 
-def _build_attention_ranked(
-    metrics: dict[str, Any],
-    node_context: list[dict[str, Any]],
-    pod_issues: dict[str, Any],
-    workloads_health: dict[str, Any],
-) -> list[dict[str, Any]]:
+def _build_attention_ranked(metrics: dict[str, Any], node_context: list[dict[str, Any]], pod_issues: dict[str, Any], workloads_health: dict[str, Any]) -> list[dict[str, Any]]:
     entries = (
         _node_attention_entries(node_context)
         + _pvc_attention_entries(metrics)

tests/unit/services/test_cluster_state_context_domains.py

@@ -244,6 +244,20 @@ def test_profile_builders_filter_bad_nodes_and_workload_nodes() -> None:
     assert workload_profiles[1]["nodes_top"] == []
 
 
+def test_attention_filters_edge_entries(monkeypatch) -> None:
+    assert attention._node_attention_entries([None, {"node": ""}, {"node": "quiet"}]) == []
+
+    monkeypatch.setattr(attention, "_pvc_pressure_entries", lambda _metrics: [None, {"namespace": "apps", "pvc": "data", "used_percent": 90.0}])
+    assert attention._pvc_attention_entries({}) == [
+        {
+            "kind": "pvc",
+            "target": "apps/data",
+            "score": 2.0,
+            "reasons": ["usage 90.0%"],
+        }
+    ]
+
+
 def test_health_helpers_handle_clean_and_malformed_inputs() -> None:
     bullets = health._health_bullets(
         {"pods_running": 1, "pods_pending": 0, "pods_failed": 0},