Added Multi Failure Test

tests/unit/assessment/test_clusters.py

@@ -1,6 +1,7 @@
-from unittest.mock import Mock
+from unittest.mock import Mock, create_autospec
 
 import pytest
+from databricks.sdk import WorkspaceClient
 from databricks.sdk.errors import DatabricksError, InternalError, NotFound
 from databricks.sdk.service.compute import (
     AutoScale,
@@ -421,3 +422,35 @@ def test_cluster_without_owner_should_have_empty_creator_name(mocker):
             failures="[]",
         )
     ]
+
+
+def test_cluster_with_multiple_failures():
+    sample_clusters = [
+        ClusterDetails(
+            autoscale=AutoScale(min_workers=1, max_workers=6),
+            cluster_source=ClusterSource.UI,
+            spark_context_id=5134472582179565315,
+            spark_conf={
+                "spark.databricks.passthrough.enabled":"True"
+            },
+            spark_env_vars=None,
+            spark_version="9.3.x-cpu-ml-scala2.12",
+            cluster_id="0810-225833-atlanta69",
+            cluster_name="Tech Summit FY24 Cluster-1",
+        )
+    ]
+    ws = create_autospec(WorkspaceClient)
+    mockbackend = MockBackend()
+
+    ws.clusters.list.return_value = sample_clusters
+    ClustersCrawler(ws, mockbackend, "ucx").snapshot()
+    result = mockbackend.rows_written_for("hive_metastore.ucx.clusters", "append")
+    assert result == [
+        ClusterInfo(
+            cluster_id="0810-225833-atlanta69",
+            cluster_name="Tech Summit FY24 Cluster-1",
+            creator=None,
+            success=0,
+            failures='["not supported DBR: 9.3.x-cpu-ml-scala2.12", "unsupported config: spark.databricks.passthrough.enabled"]'
+        )
+    ]