Resolve google vertex ai deprecations in tests

airflow/providers/google/cloud/operators/vertex_ai/auto_ml.py

@@ -656,9 +656,9 @@ def execute(self, context: Context):
             impersonation_chain=self.impersonation_chain,
         )
         try:
-            self.log.info("Deleting Auto ML training pipeline: %s", self.training_pipeline)
+            self.log.info("Deleting Auto ML training pipeline: %s", self.training_pipeline_id)
             training_pipeline_operation = hook.delete_training_pipeline(
-                training_pipeline=self.training_pipeline,
+                training_pipeline=self.training_pipeline_id,
                 region=self.region,
                 project_id=self.project_id,
                 retry=self.retry,
@@ -668,7 +668,7 @@ def execute(self, context: Context):
             hook.wait_for_operation(timeout=self.timeout, operation=training_pipeline_operation)
             self.log.info("Training pipeline was deleted.")
         except NotFound:
-            self.log.info("The Training Pipeline ID %s does not exist.", self.training_pipeline)
+            self.log.info("The Training Pipeline ID %s does not exist.", self.training_pipeline_id)
 
 
 class ListAutoMLTrainingJobOperator(GoogleCloudBaseOperator):

airflow/providers/google/cloud/operators/vertex_ai/custom_job.py

@@ -1695,9 +1695,9 @@ def execute(self, context: Context):
             impersonation_chain=self.impersonation_chain,
         )
         try:
-            self.log.info("Deleting custom training pipeline: %s", self.training_pipeline)
+            self.log.info("Deleting custom training pipeline: %s", self.training_pipeline_id)
             training_pipeline_operation = hook.delete_training_pipeline(
-                training_pipeline=self.training_pipeline,
+                training_pipeline=self.training_pipeline_id,
                 region=self.region,
                 project_id=self.project_id,
                 retry=self.retry,
@@ -1707,11 +1707,11 @@ def execute(self, context: Context):
             hook.wait_for_operation(timeout=self.timeout, operation=training_pipeline_operation)
             self.log.info("Training pipeline was deleted.")
         except NotFound:
-            self.log.info("The Training Pipeline ID %s does not exist.", self.training_pipeline)
+            self.log.info("The Training Pipeline ID %s does not exist.", self.training_pipeline_id)
         try:
-            self.log.info("Deleting custom job: %s", self.custom_job)
+            self.log.info("Deleting custom job: %s", self.custom_job_id)
             custom_job_operation = hook.delete_custom_job(
-                custom_job=self.custom_job,
+                custom_job=self.custom_job_id,
                 region=self.region,
                 project_id=self.project_id,
                 retry=self.retry,
@@ -1721,7 +1721,7 @@ def execute(self, context: Context):
             hook.wait_for_operation(timeout=self.timeout, operation=custom_job_operation)
             self.log.info("Custom job was deleted.")
         except NotFound:
-            self.log.info("The Custom Job ID %s does not exist.", self.custom_job)
+            self.log.info("The Custom Job ID %s does not exist.", self.custom_job_id)
 
 
 class ListCustomTrainingJobOperator(GoogleCloudBaseOperator):

tests/deprecations_ignore.yml

@@ -166,13 +166,6 @@
 - tests/providers/google/cloud/operators/test_kubernetes_engine.py::TestGoogleCloudPlatformContainerOperator::test_create_execute_error_body
 - tests/providers/google/cloud/operators/test_life_sciences.py::TestLifeSciencesRunPipelineOperator::test_executes
 - tests/providers/google/cloud/operators/test_life_sciences.py::TestLifeSciencesRunPipelineOperator::test_executes_without_project_id
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAICreateBatchPredictionJobOperator::test_execute
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAICreateBatchPredictionJobOperator::test_execute_deferrable
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAICreateHyperparameterTuningJobOperator::test_deferrable
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAICreateHyperparameterTuningJobOperator::test_deferrable_sync_error
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAICreateHyperparameterTuningJobOperator::test_execute
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAIDeleteAutoMLTrainingJobOperator::test_execute
-- tests/providers/google/cloud/operators/test_vertex_ai.py::TestVertexAIDeleteCustomTrainingJobOperator::test_execute
 - tests/providers/google/cloud/sensors/test_gcs.py::TestTsFunction::test_should_support_cron
 - tests/providers/google/cloud/sensors/test_gcs.py::TestTsFunction::test_should_support_datetime
 - tests/providers/google/cloud/transfers/test_bigquery_to_postgres.py::TestBigQueryToPostgresOperator::test_execute_good_request_to_bq

tests/providers/google/cloud/operators/test_vertex_ai.py

@@ -200,7 +200,7 @@
 
 TEST_TEMPLATE_PATH = "test_template_path"
 
-SYNC_DEPRECATION_WARNING = "The 'sync' parameter is deprecated and will be removed after 01.10.2024."
+SYNC_DEPRECATION_WARNING = "The 'sync' parameter is deprecated and will be removed after {}."
 
 
 class TestVertexAICreateCustomContainerTrainingJobOperator:
@@ -235,7 +235,9 @@ def test_execute(self, mock_hook, mock_dataset):
             dataset_id=TEST_DATASET_ID,
             parent_model=TEST_PARENT_MODEL,
         )
-        with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+        with pytest.warns(
+            AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+        ):
             op.execute(context={"ti": mock.MagicMock()})
         mock_dataset.assert_called_once_with(name=TEST_DATASET_ID)
         mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
@@ -324,7 +326,9 @@ def test_execute__parent_model_version_index_is_removed(self, mock_hook, mock_da
             dataset_id=TEST_DATASET_ID,
             parent_model=VERSIONED_TEST_PARENT_MODEL,
         )
-        with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+        with pytest.warns(
+            AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+        ):
             op.execute(context={"ti": mock.MagicMock()})
         mock_hook.return_value.create_custom_container_training_job.assert_called_once_with(
             staging_bucket=STAGING_BUCKET,
@@ -406,7 +410,9 @@ def test_execute_enters_deferred_state(self, mock_hook):
         )
         mock_hook.return_value.exists.return_value = False
         with pytest.raises(TaskDeferred) as exc:
-            with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+            with pytest.warns(
+                AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+            ):
                 task.execute(context={"ti": mock.MagicMock()})
         assert isinstance(
             exc.value.trigger, CustomContainerTrainingJobTrigger
@@ -505,7 +511,9 @@ def test_execute(self, mock_hook, mock_dataset):
             dataset_id=TEST_DATASET_ID,
             parent_model=TEST_PARENT_MODEL,
         )
-        with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+        with pytest.warns(
+            AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+        ):
             op.execute(context={"ti": mock.MagicMock()})
         mock_dataset.assert_called_once_with(name=TEST_DATASET_ID)
         mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
@@ -596,7 +604,9 @@ def test_execute__parent_model_version_index_is_removed(self, mock_hook, mock_da
             dataset_id=TEST_DATASET_ID,
             parent_model=VERSIONED_TEST_PARENT_MODEL,
         )
-        with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+        with pytest.warns(
+            AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+        ):
             op.execute(context={"ti": mock.MagicMock()})
         mock_hook.return_value.create_custom_python_package_training_job.assert_called_once_with(
             staging_bucket=STAGING_BUCKET,
@@ -680,7 +690,9 @@ def test_execute_enters_deferred_state(self, mock_hook):
         )
         mock_hook.return_value.exists.return_value = False
         with pytest.raises(TaskDeferred) as exc:
-            with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+            with pytest.warns(
+                AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+            ):
                 task.execute(context={"ti": mock.MagicMock()})
         assert isinstance(
             exc.value.trigger, CustomPythonPackageTrainingJobTrigger
@@ -774,7 +786,9 @@ def test_execute(self, mock_hook, mock_dataset):
             dataset_id=TEST_DATASET_ID,
             parent_model=TEST_PARENT_MODEL,
         )
-        with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+        with pytest.warns(
+            AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+        ):
             op.execute(context={"ti": mock.MagicMock()})
         mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
         mock_dataset.assert_called_once_with(name=TEST_DATASET_ID)
@@ -858,7 +872,9 @@ def test_execute__parent_model_version_index_is_removed(self, mock_hook, mock_da
             dataset_id=TEST_DATASET_ID,
             parent_model=VERSIONED_TEST_PARENT_MODEL,
         )
-        with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+        with pytest.warns(
+            AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+        ):
             op.execute(context={"ti": mock.MagicMock()})
         mock_hook.return_value.create_custom_training_job.assert_called_once_with(
             staging_bucket=STAGING_BUCKET,
@@ -935,7 +951,9 @@ def test_execute_enters_deferred_state(self, mock_hook):
         )
         mock_hook.return_value.exists.return_value = False
         with pytest.raises(TaskDeferred) as exc:
-            with pytest.warns(AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING):
+            with pytest.warns(
+                AirflowProviderDeprecationWarning, match=SYNC_DEPRECATION_WARNING.format("01.10.2024")
+            ):
                 task.execute(context={"ti": mock.MagicMock()})
         assert isinstance(
             exc.value.trigger, CustomTrainingJobTrigger
@@ -1922,7 +1940,11 @@ def test_execute(self, mock_hook, mock_link_persist):
             batch_size=TEST_BATCH_SIZE,
         )
         context = {"ti": mock.MagicMock()}
-        op.execute(context=context)
+        with pytest.warns(
+            AirflowProviderDeprecationWarning,
+            match=SYNC_DEPRECATION_WARNING.format("28.08.2024"),
+        ):
+            op.execute(context=context)
 
         mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
         mock_hook.return_value.submit_batch_prediction_job.assert_called_once_with(
@@ -1976,7 +1998,10 @@ def test_execute_deferrable(self, mock_hook, mock_link_persist):
             deferrable=True,
         )
         context = {"ti": mock.MagicMock()}
-        with pytest.raises(TaskDeferred) as exception_info:
+        with pytest.raises(TaskDeferred) as exception_info, pytest.warns(
+            AirflowProviderDeprecationWarning,
+            match=SYNC_DEPRECATION_WARNING.format("28.08.2024"),
+        ):
             op.execute(context=context)
 
         mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
@@ -2302,7 +2327,11 @@ def test_execute(self, mock_hook, to_dict_mock):
             max_trial_count=15,
             parallel_trial_count=3,
         )
-        op.execute(context={"ti": mock.MagicMock()})
+        with pytest.warns(
+            AirflowProviderDeprecationWarning,
+            match=SYNC_DEPRECATION_WARNING.format("01.09.2024"),
+        ):
+            op.execute(context={"ti": mock.MagicMock()})
         mock_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
         mock_hook.return_value.create_hyperparameter_tuning_job.assert_called_once_with(
             project_id=GCP_PROJECT,
@@ -2353,7 +2382,11 @@ def test_deferrable(self, mock_hook, mock_defer):
             parallel_trial_count=3,
             deferrable=True,
         )
-        op.execute(context={"ti": mock.MagicMock()})
+        with pytest.warns(
+            AirflowProviderDeprecationWarning,
+            match=SYNC_DEPRECATION_WARNING.format("01.09.2024"),
+        ):
+            op.execute(context={"ti": mock.MagicMock()})
         mock_defer.assert_called_once()
 
     @pytest.mark.db_test
@@ -2374,7 +2407,10 @@ def test_deferrable_sync_error(self):
             parallel_trial_count=3,
             deferrable=True,
         )
-        with pytest.raises(AirflowException):
+        with pytest.raises(AirflowException), pytest.warns(
+            AirflowProviderDeprecationWarning,
+            match=SYNC_DEPRECATION_WARNING.format("01.09.2024"),
+        ):
             op.execute(context={"ti": mock.MagicMock()})
 
     @mock.patch(VERTEX_AI_PATH.format("hyperparameter_tuning_job.HyperparameterTuningJobHook"))