feat: adds enhanced protos for time series forecasting (#374)

This PR migrates from autosynth to [owl bot](https://github.com/googleapis/repo-automation-bots/tree/master/packages/owl-bot).  owl bot will save time for maintainers as it will automatically open PRs when there are updates in [googleapis-gen](https://github.com/googleapis/googleapis-gen/tree/master/google) without requiring maintainers to run `synthtool` to build the client from protos. Additionally, similar to autosynth, PRs will be automatically opened when there are template updates. 

Googlers see [here](http://go/owlbot-user-guide).

This PR also pulls in the latest API changes from googleapis-gen and synthtool templates.

This PR includes the following features/fixes/doc updates.

chore: migrate to owl bot
docs: removes tinyurl links
docs: changes product name to Vertex AI
docs: correct link to fieldmask 
feat: adds enhanced protos for time series forecasting 
fix: remove display_name from FeatureStore
feat: add invalid_row_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata
feat: add featurestore, index, metadata, monitoring, pipeline, and tensorboard services to aiplatform v1beta1
fix: configuring timeouts for aiplatform v1 methods 
feat: remove unsupported accelerator types
feat: add aiplatform API Vizier service
feat: removes forecasting (time_series_forecasting proto) from public v1beta1 protos
chore: updates copyright on schema/ protos
chore: updates prediction and training proto files to v1beta1 AI Platform client libraries.
feat: removes unused protos from schema/ folders: schema/io_format.proto, schema/saved_query_metadata.proto
feat: ImageSegmentationPredictionResult.category_mask field changed to string data type
feat: AutoMlImageSegmentationInputs.ModelType adds MOBILE_TF_LOW_LATENCY constant
feat: AutoMlVideoClassificationInputs.ModelType adds MOBILE_JETSON_VERSATILE_1 constant
fix: add async client to %name_%version/init.py
chore: add autogenerated snippets
chore: remove auth, policy, and options from the reserved names list
feat: support self-signed JWT flow for service accounts
chore: enable GAPIC metadata generation
chore: sort subpackages in %namespace/%name/init.py

.github/.OwlBot.lock.yaml

@@ -0,0 +1,4 @@
+docker:
+  digest: sha256:457583330eec64daa02aeb7a72a04d33e7be2428f646671ce4045dcbc0191b1e
+  image: gcr.io/repo-automation-bots/owlbot-python:latest  
+

.github/.OwlBot.yaml

@@ -0,0 +1,26 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+docker:
+  image: gcr.io/repo-automation-bots/owlbot-python:latest
+
+deep-remove-regex:
+  - /owl-bot-staging
+
+deep-copy-regex:
+  - source: /google/cloud/aiplatform/(v.*)/.*-py/(.*)
+    dest: /owl-bot-staging/$1/$2
+
+begin-after-commit-hash: 7774246dfb7839067cd64bba0600089b1c91bd85
+

.pre-commit-config.yaml

@@ -26,6 +26,6 @@ repos:
     hooks:
     - id: black
 -   repo: https://gitlab.com/pycqa/flake8
-    rev: 3.9.2
+    rev: 3.9.1
     hooks:
     - id: flake8

google/cloud/aiplatform/v1beta1/schema/predict/prediction/__init__.py

@@ -36,6 +36,9 @@
 from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.text_sentiment import (
     TextSentimentPredictionResult,
 )
+from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.time_series_forecasting import (
+    TimeSeriesForecastingPredictionResult,
+)
 from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.video_action_recognition import (
     VideoActionRecognitionPredictionResult,
 )
@@ -54,6 +57,7 @@
     "TabularRegressionPredictionResult",
     "TextExtractionPredictionResult",
     "TextSentimentPredictionResult",
+    "TimeSeriesForecastingPredictionResult",
     "VideoActionRecognitionPredictionResult",
     "VideoClassificationPredictionResult",
     "VideoObjectTrackingPredictionResult",

google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/__init__.py

@@ -22,6 +22,7 @@
 from .types.tabular_regression import TabularRegressionPredictionResult
 from .types.text_extraction import TextExtractionPredictionResult
 from .types.text_sentiment import TextSentimentPredictionResult
+from .types.time_series_forecasting import TimeSeriesForecastingPredictionResult
 from .types.video_action_recognition import VideoActionRecognitionPredictionResult
 from .types.video_classification import VideoClassificationPredictionResult
 from .types.video_object_tracking import VideoObjectTrackingPredictionResult
@@ -34,6 +35,7 @@
     "TabularRegressionPredictionResult",
     "TextExtractionPredictionResult",
     "TextSentimentPredictionResult",
+    "TimeSeriesForecastingPredictionResult",
     "VideoActionRecognitionPredictionResult",
     "VideoClassificationPredictionResult",
     "VideoObjectTrackingPredictionResult",

google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/__init__.py

@@ -20,6 +20,7 @@
 from .tabular_regression import TabularRegressionPredictionResult
 from .text_extraction import TextExtractionPredictionResult
 from .text_sentiment import TextSentimentPredictionResult
+from .time_series_forecasting import TimeSeriesForecastingPredictionResult
 from .video_action_recognition import VideoActionRecognitionPredictionResult
 from .video_classification import VideoClassificationPredictionResult
 from .video_object_tracking import VideoObjectTrackingPredictionResult
@@ -32,6 +33,7 @@
     "TabularRegressionPredictionResult",
     "TextExtractionPredictionResult",
     "TextSentimentPredictionResult",
+    "TimeSeriesForecastingPredictionResult",
     "VideoActionRecognitionPredictionResult",
     "VideoClassificationPredictionResult",
     "VideoObjectTrackingPredictionResult",

google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/time_series_forecasting.py

@@ -1,5 +1,4 @@
 # -*- coding: utf-8 -*-
-
 # Copyright 2020 Google LLC
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -14,7 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
 import proto  # type: ignore
 
 
@@ -26,21 +24,12 @@
 
 class TimeSeriesForecastingPredictionResult(proto.Message):
     r"""Prediction output format for Time Series Forecasting.
-
     Attributes:
         value (float):
             The regression value.
-        lower_bound (float):
-            The lower bound of the prediction interval.
-        upper_bound (float):
-            The upper bound of the prediction interval.
     """
 
-    value = proto.Field(proto.FLOAT, number=1)
-
-    lower_bound = proto.Field(proto.FLOAT, number=2)
-
-    upper_bound = proto.Field(proto.FLOAT, number=3)
+    value = proto.Field(proto.FLOAT, number=1,)
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))

google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/__init__.py

@@ -69,6 +69,15 @@
 from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_text_sentiment import (
     AutoMlTextSentimentInputs,
 )
+from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_time_series_forecasting import (
+    AutoMlForecasting,
+)
+from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_time_series_forecasting import (
+    AutoMlForecastingInputs,
+)
+from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_time_series_forecasting import (
+    AutoMlForecastingMetadata,
+)
 from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_video_action_recognition import (
     AutoMlVideoActionRecognition,
 )
@@ -110,6 +119,9 @@
     "AutoMlTextExtractionInputs",
     "AutoMlTextSentiment",
     "AutoMlTextSentimentInputs",
+    "AutoMlForecasting",
+    "AutoMlForecastingInputs",
+    "AutoMlForecastingMetadata",
     "AutoMlVideoActionRecognition",
     "AutoMlVideoActionRecognitionInputs",
     "AutoMlVideoClassification",

google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/__init__.py

@@ -33,6 +33,9 @@
 from .types.automl_text_extraction import AutoMlTextExtractionInputs
 from .types.automl_text_sentiment import AutoMlTextSentiment
 from .types.automl_text_sentiment import AutoMlTextSentimentInputs
+from .types.automl_time_series_forecasting import AutoMlForecasting
+from .types.automl_time_series_forecasting import AutoMlForecastingInputs
+from .types.automl_time_series_forecasting import AutoMlForecastingMetadata
 from .types.automl_video_action_recognition import AutoMlVideoActionRecognition
 from .types.automl_video_action_recognition import AutoMlVideoActionRecognitionInputs
 from .types.automl_video_classification import AutoMlVideoClassification
@@ -42,6 +45,9 @@
 from .types.export_evaluated_data_items_config import ExportEvaluatedDataItemsConfig
 
 __all__ = (
+    "AutoMlForecasting",
+    "AutoMlForecastingInputs",
+    "AutoMlForecastingMetadata",
     "AutoMlImageClassification",
     "AutoMlImageClassificationInputs",
     "AutoMlImageClassificationMetadata",

google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/__init__.py

@@ -45,6 +45,11 @@
     AutoMlTextSentiment,
     AutoMlTextSentimentInputs,
 )
+from .automl_time_series_forecasting import (
+    AutoMlForecasting,
+    AutoMlForecastingInputs,
+    AutoMlForecastingMetadata,
+)
 from .automl_video_action_recognition import (
     AutoMlVideoActionRecognition,
     AutoMlVideoActionRecognitionInputs,
@@ -78,6 +83,9 @@
     "AutoMlTextExtractionInputs",
     "AutoMlTextSentiment",
     "AutoMlTextSentimentInputs",
+    "AutoMlForecasting",
+    "AutoMlForecastingInputs",
+    "AutoMlForecastingMetadata",
     "AutoMlVideoActionRecognition",
     "AutoMlVideoActionRecognitionInputs",
     "AutoMlVideoClassification",