e-galan commented on code in PR #39752:
URL: https://github.com/apache/airflow/pull/39752#discussion_r1611707878


##########
tests/providers/google/cloud/operators/test_automl.py:
##########
@@ -379,63 +379,51 @@ def test_templating(self, 
create_task_instance_of_operator):
         assert task.impersonation_chain == "impersonation-chain"
 
 
-class TestAutoMLListColumnsSpecsOperator:
+class TestAutoMLTablesListColumnsSpecsOperator:
+    expected_deprecation_warning = (
+        "Class `AutoMLTablesListColumnSpecsOperator` has been deprecated and 
will be removed after 31.12.2024. "
+        "AutoML platform no longer supports tabular datasets after its 
integration with Cloud Translation and Vertex AI. "
+        "Please refer to 
https://cloud.google.com/vertex-ai/docs/start/migrating-to-vertex-ai and "
+        "https://cloud.google.com/translate/docs/advanced/automl-upgrade for 
more info about available alternatives."
+    )
+
     
@mock.patch("airflow.providers.google.cloud.operators.automl.CloudAutoMLHook")
     def test_execute(self, mock_hook):
         table_spec = "table_spec_id"
         filter_ = "filter"
         page_size = 42
 
-        op = AutoMLTablesListColumnSpecsOperator(
-            dataset_id=DATASET_ID,
-            table_spec_id=table_spec,
-            location=GCP_LOCATION,
-            project_id=GCP_PROJECT_ID,
-            field_mask=MASK,
-            filter_=filter_,
-            page_size=page_size,
-            task_id=TASK_ID,
-        )
-        op.execute(context=mock.MagicMock())
-        mock_hook.return_value.list_column_specs.assert_called_once_with(
-            dataset_id=DATASET_ID,
-            field_mask=MASK,
-            filter_=filter_,
-            location=GCP_LOCATION,
-            metadata=(),
-            page_size=page_size,
-            project_id=GCP_PROJECT_ID,
-            retry=DEFAULT,
-            table_spec_id=table_spec,
-            timeout=None,
-        )

Review Comment:
   Because `AirflowException` is raised in the operator's `__init__` method. 
Therefore we cannot instantiate it and run any methods.



##########
tests/providers/google/cloud/operators/test_automl.py:
##########
@@ -379,63 +379,51 @@ def test_templating(self, 
create_task_instance_of_operator):
         assert task.impersonation_chain == "impersonation-chain"
 
 
-class TestAutoMLListColumnsSpecsOperator:
+class TestAutoMLTablesListColumnsSpecsOperator:
+    expected_deprecation_warning = (
+        "Class `AutoMLTablesListColumnSpecsOperator` has been deprecated and 
will be removed after 31.12.2024. "
+        "AutoML platform no longer supports tabular datasets after its 
integration with Cloud Translation and Vertex AI. "
+        "Please refer to 
https://cloud.google.com/vertex-ai/docs/start/migrating-to-vertex-ai and "
+        "https://cloud.google.com/translate/docs/advanced/automl-upgrade for 
more info about available alternatives."
+    )
+
     
@mock.patch("airflow.providers.google.cloud.operators.automl.CloudAutoMLHook")
     def test_execute(self, mock_hook):
         table_spec = "table_spec_id"
         filter_ = "filter"
         page_size = 42
 
-        op = AutoMLTablesListColumnSpecsOperator(
-            dataset_id=DATASET_ID,
-            table_spec_id=table_spec,
-            location=GCP_LOCATION,
-            project_id=GCP_PROJECT_ID,
-            field_mask=MASK,
-            filter_=filter_,
-            page_size=page_size,
-            task_id=TASK_ID,
-        )
-        op.execute(context=mock.MagicMock())
-        mock_hook.return_value.list_column_specs.assert_called_once_with(
-            dataset_id=DATASET_ID,
-            field_mask=MASK,
-            filter_=filter_,
-            location=GCP_LOCATION,
-            metadata=(),
-            page_size=page_size,
-            project_id=GCP_PROJECT_ID,
-            retry=DEFAULT,
-            table_spec_id=table_spec,
-            timeout=None,
-        )
+        with pytest.raises(AirflowProviderDeprecationWarning, 
match=self.expected_deprecation_warning):
+            _ = AutoMLTablesListColumnSpecsOperator(
+                dataset_id=DATASET_ID,
+                table_spec_id=table_spec,
+                location=GCP_LOCATION,
+                project_id=GCP_PROJECT_ID,
+                field_mask=MASK,
+                filter_=filter_,
+                page_size=page_size,
+                task_id=TASK_ID,
+            )
+        mock_hook.assert_not_called()
 
     @pytest.mark.db_test
     def test_templating(self, create_task_instance_of_operator):
-        ti = create_task_instance_of_operator(
-            AutoMLTablesListColumnSpecsOperator,
-            # Templated fields
-            dataset_id="{{ 'dataset-id' }}",
-            table_spec_id="{{ 'table-spec-id' }}",
-            field_mask="{{ 'field-mask' }}",
-            filter_="{{ 'filter-' }}",
-            location="{{ 'location' }}",
-            project_id="{{ 'project-id' }}",
-            impersonation_chain="{{ 'impersonation-chain' }}",
-            # Other parameters
-            dag_id="test_template_body_templating_dag",
-            task_id="test_template_body_templating_task",
-            execution_date=timezone.datetime(2024, 2, 1, tzinfo=timezone.utc),
-        )
-        ti.render_templates()
-        task: AutoMLTablesListColumnSpecsOperator = ti.task
-        assert task.dataset_id == "dataset-id"
-        assert task.table_spec_id == "table-spec-id"
-        assert task.field_mask == "field-mask"
-        assert task.filter_ == "filter-"
-        assert task.location == "location"
-        assert task.project_id == "project-id"
-        assert task.impersonation_chain == "impersonation-chain"

Review Comment:
   Because `AirflowException` is raised in the operator's `__init__` method. 
Therefore we cannot instantiate it and run any methods.



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