Introduce operation helper class and refactor

- Refactor google cloud hooks, that used generic 'wait_for_operation'
  methods.

providers/src/airflow/providers/google/cloud/hooks/automl.py

@@ -43,9 +43,9 @@
     PredictResponse,
 )
 
-from airflow.exceptions import AirflowException
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -58,7 +58,7 @@
     from google.protobuf.field_mask_pb2 import FieldMask
 
 
-class CloudAutoMLHook(GoogleBaseHook):
+class CloudAutoMLHook(GoogleBaseHook, OperationHelper):
     """
     Google Cloud AutoML hook.
 
@@ -94,14 +94,6 @@ def get_conn(self) -> AutoMlClient:
             self._client = AutoMlClient(credentials=self.get_credentials(), client_info=CLIENT_INFO)
         return self._client
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @cached_property
     def prediction_client(self) -> PredictionServiceClient:
         """

providers/src/airflow/providers/google/cloud/hooks/cloud_build.py

@@ -31,6 +31,7 @@
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.deprecated import deprecated
 from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -42,7 +43,7 @@
 TIME_TO_SLEEP_IN_SECONDS = 5
 
 
-class CloudBuildHook(GoogleBaseHook):
+class CloudBuildHook(GoogleBaseHook, OperationHelper):
     """
     Hook for the Google Cloud Build Service.
 
@@ -80,14 +81,6 @@ def _get_build_id_from_operation(self, operation: Operation) -> str:
         except Exception:
             raise AirflowException("Could not retrieve Build ID from Operation.")
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     def get_conn(self, location: str = "global") -> CloudBuildClient:
         """
         Retrieve the connection to Google Cloud Build.

providers/src/airflow/providers/google/cloud/hooks/cloud_composer.py

@@ -52,8 +52,10 @@
     )
     from google.protobuf.field_mask_pb2 import FieldMask
 
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
-class CloudComposerHook(GoogleBaseHook):
+
+class CloudComposerHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Composer APIs."""
 
     client_options = ClientOptions(api_endpoint="composer.googleapis.com:443")
@@ -74,14 +76,6 @@ def get_image_versions_client(self) -> ImageVersionsClient:
             client_options=self.client_options,
         )
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     def get_operation(self, operation_name):
         return self.get_environment_client().transport.operations_client.get_operation(name=operation_name)
 

providers/src/airflow/providers/google/cloud/hooks/dataplex.py

@@ -42,9 +42,9 @@
     GoogleBaseAsyncHook,
     GoogleBaseHook,
 )
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
-    from google.api_core.operation import Operation
     from google.api_core.retry import Retry
     from google.api_core.retry_async import AsyncRetry
     from googleapiclient.discovery import Resource
@@ -60,7 +60,7 @@ class AirflowDataQualityScanResultTimeoutException(AirflowException):
     """Raised when no result found after specified amount of seconds."""
 
 
-class DataplexHook(GoogleBaseHook):
+class DataplexHook(GoogleBaseHook, OperationHelper):
     """
     Hook for Google Dataplex.
 
@@ -110,14 +110,6 @@ def get_dataplex_data_scan_client(self) -> DataScanServiceClient:
             credentials=self.get_credentials(), client_info=CLIENT_INFO, client_options=client_options
         )
 
-    def wait_for_operation(self, timeout: float | None, operation: Operation):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @GoogleBaseHook.fallback_to_default_project_id
     def create_task(
         self,

providers/src/airflow/providers/google/cloud/hooks/translate.py

@@ -34,6 +34,7 @@
 from airflow.exceptions import AirflowException
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -51,7 +52,6 @@
         TransliterationConfig,
         automl_translation,
     )
-    from proto import Message
 
 
 class WaitOperationNotDoneYetError(Exception):
@@ -153,7 +153,7 @@ def translate(
         )
 
 
-class TranslateHook(GoogleBaseHook):
+class TranslateHook(GoogleBaseHook, OperationHelper):
     """
     Hook for Google Cloud translation (Advanced) using client version V3.
 
@@ -219,15 +219,6 @@ def wait_for_operation_done(
             error = operation.exception(timeout=timeout)
             raise AirflowException(error)
 
-    @staticmethod
-    def wait_for_operation_result(operation: Operation, timeout: int | None = None) -> Message:
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except GoogleAPICallError:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @staticmethod
     def extract_object_id(obj: dict) -> str:
         """Return unique id of the object."""

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/auto_ml.py

@@ -39,6 +39,7 @@
 from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning
 from airflow.providers.google.common.deprecated import deprecated
 from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -47,7 +48,7 @@
     from google.cloud.aiplatform_v1.types import TrainingPipeline
 
 
-class AutoMLHook(GoogleBaseHook):
+class AutoMLHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Auto ML APIs."""
 
     def __init__(
@@ -253,14 +254,6 @@ def extract_training_id(resource_name: str) -> str:
         """Return unique id of the Training pipeline."""
         return resource_name.rpartition("/")[-1]
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     def cancel_auto_ml_job(self) -> None:
         """Cancel Auto ML Job for training pipeline."""
         if self._job:

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/batch_prediction_job.py

@@ -31,14 +31,15 @@
 from airflow.exceptions import AirflowException
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import GoogleBaseAsyncHook, GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
     from google.api_core.retry import AsyncRetry, Retry
     from google.cloud.aiplatform_v1.services.job_service.pagers import ListBatchPredictionJobsPager
 
 
-class BatchPredictionJobHook(GoogleBaseHook):
+class BatchPredictionJobHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Batch Prediction Job APIs."""
 
     def __init__(
@@ -65,14 +66,6 @@ def get_job_service_client(self, region: str | None = None) -> JobServiceClient:
             credentials=self.get_credentials(), client_info=self.client_info, client_options=client_options
         )
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @staticmethod
     def extract_batch_prediction_job_id(obj: dict) -> str:
         """Return unique id of the batch_prediction_job."""

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/custom_job.py

@@ -46,6 +46,7 @@
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.deprecated import deprecated
 from airflow.providers.google.common.hooks.base_google import GoogleBaseAsyncHook, GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -59,7 +60,7 @@
     from google.cloud.aiplatform_v1.types import CustomJob, PipelineJob, TrainingPipeline
 
 
-class CustomJobHook(GoogleBaseHook):
+class CustomJobHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Custom Job APIs."""
 
     def __init__(
@@ -277,14 +278,6 @@ def extract_custom_job_id_from_training_pipeline(training_pipeline: dict[str, An
         """Return a unique Custom Job id from a serialized TrainingPipeline proto."""
         return training_pipeline["training_task_metadata"]["backingCustomJob"].rpartition("/")[-1]
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     def cancel_job(self) -> None:
         """Cancel Job for training pipeline."""
         if self._job:

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/dataset.py

@@ -26,9 +26,9 @@
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.cloud.aiplatform_v1 import DatasetServiceClient
 
-from airflow.exceptions import AirflowException
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -42,7 +42,7 @@
     from google.protobuf.field_mask_pb2 import FieldMask
 
 
-class DatasetHook(GoogleBaseHook):
+class DatasetHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Dataset APIs."""
 
     def get_dataset_service_client(self, region: str | None = None) -> DatasetServiceClient:
@@ -56,14 +56,6 @@ def get_dataset_service_client(self, region: str | None = None) -> DatasetServic
             credentials=self.get_credentials(), client_info=CLIENT_INFO, client_options=client_options
         )
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @staticmethod
     def extract_dataset_id(obj: dict) -> str:
         """Return unique id of the dataset."""

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/endpoint_service.py

@@ -26,8 +26,8 @@
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.cloud.aiplatform_v1 import EndpointServiceClient
 
-from airflow.exceptions import AirflowException
 from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -37,7 +37,7 @@
     from google.protobuf.field_mask_pb2 import FieldMask
 
 
-class EndpointServiceHook(GoogleBaseHook):
+class EndpointServiceHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Endpoint Service APIs."""
 
     def get_endpoint_service_client(self, region: str | None = None) -> EndpointServiceClient:
@@ -51,14 +51,6 @@ def get_endpoint_service_client(self, region: str | None = None) -> EndpointServ
             credentials=self.get_credentials(), client_info=self.client_info, client_options=client_options
         )
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @staticmethod
     def extract_endpoint_id(obj: dict) -> str:
         """Return unique id of the endpoint."""

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/hyperparameter_tuning_job.py

@@ -37,14 +37,15 @@
 from airflow.exceptions import AirflowException
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import GoogleBaseAsyncHook, GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
     from google.api_core.retry import AsyncRetry, Retry
     from google.cloud.aiplatform_v1.services.job_service.pagers import ListHyperparameterTuningJobsPager
 
 
-class HyperparameterTuningJobHook(GoogleBaseHook):
+class HyperparameterTuningJobHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Hyperparameter Tuning Job APIs."""
 
     def __init__(
@@ -134,14 +135,6 @@ def extract_hyperparameter_tuning_job_id(obj: dict) -> str:
         """Return unique id of the hyperparameter_tuning_job."""
         return obj["name"].rpartition("/")[-1]
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     def cancel_hyperparameter_tuning_job(self) -> None:
         """Cancel HyperparameterTuningJob."""
         if self._hyperparameter_tuning_job:

providers/src/airflow/providers/google/cloud/hooks/vertex_ai/model_service.py

@@ -29,6 +29,7 @@
 
 from airflow.exceptions import AirflowException
 from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
+from airflow.providers.google.common.hooks.operation_helpers import OperationHelper
 
 if TYPE_CHECKING:
     from google.api_core.operation import Operation
@@ -40,7 +41,7 @@
     from google.cloud.aiplatform_v1.types import Model, model_service
 
 
-class ModelServiceHook(GoogleBaseHook):
+class ModelServiceHook(GoogleBaseHook, OperationHelper):
     """Hook for Google Cloud Vertex AI Endpoint Service APIs."""
 
     def get_model_service_client(self, region: str | None = None) -> ModelServiceClient:
@@ -59,14 +60,6 @@ def extract_model_id(obj: dict) -> str:
         """Return unique id of the model."""
         return obj["model"].rpartition("/")[-1]
 
-    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
-        """Wait for long-lasting operation to complete."""
-        try:
-            return operation.result(timeout=timeout)
-        except Exception:
-            error = operation.exception(timeout=timeout)
-            raise AirflowException(error)
-
     @GoogleBaseHook.fallback_to_default_project_id
     def delete_model(
         self,