sync with main repo

CHANGELOG.md

@@ -1,5 +1,30 @@
 # Changelog
 
+### [1.13.1](https://github.com/googleapis/python-aiplatform/compare/v1.13.0...v1.13.1) (2022-05-26)
+
+
+### Features
+
+* add batch_size kwarg for batch prediction jobs ([#1194](https://github.com/googleapis/python-aiplatform/issues/1194)) ([50bdb01](https://github.com/googleapis/python-aiplatform/commit/50bdb01504740ed31de788d8a160f3e2be7f55df))
+* add update endpoint ([#1162](https://github.com/googleapis/python-aiplatform/issues/1162)) ([0ecfe1e](https://github.com/googleapis/python-aiplatform/commit/0ecfe1e7ab8687c13cb4267985e8b6ebc7bd2534))
+* support autoscaling metrics when deploying models ([#1197](https://github.com/googleapis/python-aiplatform/issues/1197)) ([095717c](https://github.com/googleapis/python-aiplatform/commit/095717c8b77dc5d66e677413a437ea6ed92e0b1a))
+
+
+### Bug Fixes
+
+* check in service proto file ([#1174](https://github.com/googleapis/python-aiplatform/issues/1174)) ([5fdf151](https://github.com/googleapis/python-aiplatform/commit/5fdf151ee0d0a630c07a75dc8f19906e7ad1aa8a))
+* regenerate pb2 files using grpcio-tools ([#1394](https://github.com/googleapis/python-aiplatform/issues/1394)) ([406c868](https://github.com/googleapis/python-aiplatform/commit/406c868344280d424f4191c98bcbbdeaf947b2d1))
+
+
+### Documentation
+
+* update aiplatform SDK arrangement for Sphinx ([#1163](https://github.com/googleapis/python-aiplatform/issues/1163)) ([e9510ea](https://github.com/googleapis/python-aiplatform/commit/e9510ea6344a296e0c93ddf32280cf4c010ee4f1))
+
+
+### Miscellaneous Chores
+
+* release 1.13.1 ([#1395](https://github.com/googleapis/python-aiplatform/issues/1395)) ([df78407](https://github.com/googleapis/python-aiplatform/commit/df78407b2f14c95c9e84b4b1375a8de5bc9c7bb5))
+
 ## [1.13.0](https://github.com/googleapis/python-aiplatform/compare/v1.12.1...v1.13.0) (2022-05-09)
 
 

google/cloud/aiplatform/compat/__init__.py

@@ -40,6 +40,10 @@
     )
     services.metadata_service_client = services.metadata_service_client_v1beta1
     services.tensorboard_service_client = services.tensorboard_service_client_v1beta1
+    services.index_service_client = services.index_service_client_v1beta1
+    services.index_endpoint_service_client = (
+        services.index_endpoint_service_client_v1beta1
+    )
 
     types.accelerator_type = types.accelerator_type_v1beta1
     types.annotation = types.annotation_v1beta1
@@ -71,6 +75,8 @@
     types.featurestore_online_service = types.featurestore_online_service_v1beta1
     types.featurestore_service = types.featurestore_service_v1beta1
     types.hyperparameter_tuning_job = types.hyperparameter_tuning_job_v1beta1
+    types.index = types.index_v1beta1
+    types.index_endpoint = types.index_endpoint_v1beta1
     types.io = types.io_v1beta1
     types.job_service = types.job_service_v1beta1
     types.job_state = types.job_state_v1beta1
@@ -79,15 +85,16 @@
     types.matching_engine_deployed_index_ref = (
         types.matching_engine_deployed_index_ref_v1beta1
     )
-    types.matching_engine_index = types.matching_engine_index_v1beta1
-    types.matching_engine_index_endpoint = types.matching_engine_index_endpoint_v1beta1
+    types.matching_engine_index = types.index_v1beta1
+    types.matching_engine_index_endpoint = types.index_endpoint_v1beta1
     types.metadata_service = types.metadata_service_v1beta1
     types.metadata_store = types.metadata_store_v1beta1
     types.model = types.model_v1beta1
     types.model_evaluation = types.model_evaluation_v1beta1
     types.model_evaluation_slice = types.model_evaluation_slice_v1beta1
     types.model_service = types.model_service_v1beta1
     types.operation = types.operation_v1beta1
+    types.pipeline_job = types.pipeline_job_v1beta1
     types.pipeline_service = types.pipeline_service_v1beta1
     types.pipeline_state = types.pipeline_state_v1beta1
     types.prediction_service = types.prediction_service_v1beta1
@@ -102,6 +109,7 @@
     types.tensorboard_service = types.tensorboard_service_v1beta1
     types.tensorboard_time_series = types.tensorboard_time_series_v1beta1
     types.training_pipeline = types.training_pipeline_v1beta1
+    types.types = types.types_v1beta1
 
 if DEFAULT_VERSION == V1:
 
@@ -117,6 +125,8 @@
     services.prediction_service_client = services.prediction_service_client_v1
     services.specialist_pool_service_client = services.specialist_pool_service_client_v1
     services.tensorboard_service_client = services.tensorboard_service_client_v1
+    services.index_service_client = services.index_service_client_v1
+    services.index_endpoint_service_client = services.index_endpoint_service_client_v1
 
     types.accelerator_type = types.accelerator_type_v1
     types.annotation = types.annotation_v1
@@ -147,6 +157,8 @@
     types.featurestore_online_service = types.featurestore_online_service_v1
     types.featurestore_service = types.featurestore_service_v1
     types.hyperparameter_tuning_job = types.hyperparameter_tuning_job_v1
+    types.index = types.index_v1
+    types.index_endpoint = types.index_endpoint_v1
     types.io = types.io_v1
     types.job_service = types.job_service_v1
     types.job_state = types.job_state_v1
@@ -155,15 +167,16 @@
     types.matching_engine_deployed_index_ref = (
         types.matching_engine_deployed_index_ref_v1
     )
-    types.matching_engine_index = types.matching_engine_index_v1
-    types.matching_engine_index_endpoint = types.matching_engine_index_endpoint_v1
+    types.matching_engine_index = types.index_v1
+    types.matching_engine_index_endpoint = types.index_endpoint_v1
     types.metadata_service = types.metadata_service_v1
     types.metadata_store = types.metadata_store_v1
     types.model = types.model_v1
     types.model_evaluation = types.model_evaluation_v1
     types.model_evaluation_slice = types.model_evaluation_slice_v1
     types.model_service = types.model_service_v1
     types.operation = types.operation_v1
+    types.pipeline_job = types.pipeline_job_v1
     types.pipeline_service = types.pipeline_service_v1
     types.pipeline_state = types.pipeline_state_v1
     types.prediction_service = types.prediction_service_v1
@@ -178,6 +191,7 @@
     types.tensorboard_service = types.tensorboard_service_v1
     types.tensorboard_time_series = types.tensorboard_time_series_v1
     types.training_pipeline = types.training_pipeline_v1
+    types.types = types.types_v1
 
 __all__ = (
     DEFAULT_VERSION,

google/cloud/aiplatform/compat/types/__init__.py

@@ -46,8 +46,8 @@
     featurestore_monitoring as featurestore_monitoring_v1beta1,
     featurestore_online_service as featurestore_online_service_v1beta1,
     featurestore_service as featurestore_service_v1beta1,
-    index as matching_engine_index_v1beta1,
-    index_endpoint as matching_engine_index_endpoint_v1beta1,
+    index as index_v1beta1,
+    index_endpoint as index_endpoint_v1beta1,
     hyperparameter_tuning_job as hyperparameter_tuning_job_v1beta1,
     io as io_v1beta1,
     job_service as job_service_v1beta1,
@@ -75,6 +75,7 @@
     tensorboard_service as tensorboard_service_v1beta1,
     tensorboard_time_series as tensorboard_time_series_v1beta1,
     training_pipeline as training_pipeline_v1beta1,
+    types as types_v1beta1,
 )
 from google.cloud.aiplatform_v1.types import (
     accelerator_type as accelerator_type_v1,
@@ -107,8 +108,8 @@
     featurestore_online_service as featurestore_online_service_v1,
     featurestore_service as featurestore_service_v1,
     hyperparameter_tuning_job as hyperparameter_tuning_job_v1,
-    index as matching_engine_index_v1,
-    index_endpoint as matching_engine_index_endpoint_v1,
+    index as index_v1,
+    index_endpoint as index_endpoint_v1,
     io as io_v1,
     job_service as job_service_v1,
     job_state as job_state_v1,
@@ -135,6 +136,7 @@
     tensorboard_service as tensorboard_service_v1,
     tensorboard_time_series as tensorboard_time_series_v1,
     training_pipeline as training_pipeline_v1,
+    types as types_v1,
 )
 
 __all__ = (
@@ -174,8 +176,8 @@
     machine_resources_v1,
     manual_batch_tuning_parameters_v1,
     matching_engine_deployed_index_ref_v1,
-    matching_engine_index_v1,
-    matching_engine_index_endpoint_v1,
+    index_v1,
+    index_endpoint_v1,
     metadata_service_v1,
     metadata_store_v1,
     model_v1,
@@ -196,6 +198,7 @@
     tensorboard_service_v1,
     tensorboard_time_series_v1,
     training_pipeline_v1,
+    types_v1,
     # v1beta1
     accelerator_type_v1beta1,
     annotation_v1beta1,
@@ -233,8 +236,8 @@
     machine_resources_v1beta1,
     manual_batch_tuning_parameters_v1beta1,
     matching_engine_deployed_index_ref_v1beta1,
-    matching_engine_index_v1beta1,
-    matching_engine_index_endpoint_v1beta1,
+    index_v1beta1,
+    index_endpoint_v1beta1,
     metadata_service_v1beta1,
     metadata_store_v1beta1,
     model_v1beta1,
@@ -255,4 +258,5 @@
     tensorboard_service_v1beta1,
     tensorboard_time_series_v1beta1,
     training_pipeline_v1beta1,
+    types_v1beta1,
 )

google/cloud/aiplatform/datasets/time_series_dataset.py

@@ -46,6 +46,7 @@ def create(
         labels: Optional[Dict[str, str]] = None,
         encryption_spec_key_name: Optional[str] = None,
         sync: bool = True,
+        create_request_timeout: Optional[float] = None,
     ) -> "TimeSeriesDataset":
         """Creates a new time series dataset.
 
@@ -102,6 +103,8 @@ def create(
                 Whether to execute this method synchronously. If False, this method
                 will be executed in concurrent Future and any downstream object will
                 be immediately returned and synced when the Future has completed.
+            create_request_timeout (float):
+                Optional. The timeout for the create request in seconds.
 
         Returns:
             time_series_dataset (TimeSeriesDataset):
@@ -141,6 +144,7 @@ def create(
                 encryption_spec_key_name=encryption_spec_key_name
             ),
             sync=sync,
+            create_request_timeout=create_request_timeout,
         )
 
     def import_data(self):