fix(videointelligence): make features a positional parameter in annotate_video, update retry config, make AnnotateVideo nonidempotent (via synth) (#9440)

Author: yoshi-automation

videointelligence/google/cloud/videointelligence_v1/gapic/video_intelligence_service_client.py

@@ -191,9 +191,9 @@ def __init__(
     # Service calls
     def annotate_video(
         self,
+        features,
         input_uri=None,
         input_content=None,
-        features=None,
         video_context=None,
         output_uri=None,
         location_id=None,
@@ -213,11 +213,11 @@ def annotate_video(
             >>>
             >>> client = videointelligence_v1.VideoIntelligenceServiceClient()
             >>>
-            >>> input_uri = 'gs://cloud-samples-data/video/cat.mp4'
             >>> features_element = enums.Feature.LABEL_DETECTION
             >>> features = [features_element]
+            >>> input_uri = 'gs://cloud-samples-data/video/cat.mp4'
             >>>
-            >>> response = client.annotate_video(input_uri=input_uri, features=features)
+            >>> response = client.annotate_video(features, input_uri=input_uri)
             >>>
             >>> def callback(operation_future):
             ...     # Handle result.
@@ -229,6 +229,7 @@ def annotate_video(
             >>> metadata = response.metadata()
 
         Args:
+            features (list[~google.cloud.videointelligence_v1.types.Feature]): Required. Requested video annotation features.
             input_uri (str): Input video location. Currently, only `Google Cloud
                 Storage <https://cloud.google.com/storage/>`__ URIs are supported, which
                 must be specified in the following format: ``gs://bucket-id/object-id``
@@ -241,7 +242,6 @@ def annotate_video(
                 request as ``input_content``. If set, ``input_content`` should be unset.
             input_content (bytes): The video data bytes. If unset, the input video(s) should be specified
                 via ``input_uri``. If set, ``input_uri`` should be unset.
-            features (list[~google.cloud.videointelligence_v1.types.Feature]): Required. Requested video annotation features.
             video_context (Union[dict, ~google.cloud.videointelligence_v1.types.VideoContext]): Additional video context and/or feature-specific parameters.
 
                 If a dict is provided, it must be of the same form as the protobuf
@@ -288,9 +288,9 @@ def annotate_video(
             )
 
         request = video_intelligence_pb2.AnnotateVideoRequest(
+            features=features,
             input_uri=input_uri,
             input_content=input_content,
-            features=features,
             video_context=video_context,
             output_uri=output_uri,
             location_id=location_id,

videointelligence/google/cloud/videointelligence_v1/gapic/video_intelligence_service_client_config.py

@@ -7,19 +7,19 @@
             },
             "retry_params": {
                 "default": {
-                    "initial_retry_delay_millis": 1000,
-                    "retry_delay_multiplier": 2.5,
-                    "max_retry_delay_millis": 120000,
-                    "initial_rpc_timeout_millis": 120000,
+                    "initial_retry_delay_millis": 100,
+                    "retry_delay_multiplier": 1.3,
+                    "max_retry_delay_millis": 60000,
+                    "initial_rpc_timeout_millis": 20000,
                     "rpc_timeout_multiplier": 1.0,
-                    "max_rpc_timeout_millis": 120000,
+                    "max_rpc_timeout_millis": 20000,
                     "total_timeout_millis": 600000,
                 }
             },
             "methods": {
                 "AnnotateVideo": {
                     "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
+                    "retry_codes_name": "non_idempotent",
                     "retry_params_name": "default",
                 }
             },

videointelligence/synth.metadata

@@ -1,26 +1,26 @@
 {
-  "updateTime": "2019-10-09T12:39:48.814274Z",
+  "updateTime": "2019-10-28T21:37:18.071018Z",
   "sources": [
     {
       "generator": {
         "name": "artman",
-        "version": "0.38.0",
-        "dockerImage": "googleapis/artman@sha256:0d2f8d429110aeb8d82df6550ef4ede59d40df9062d260a1580fce688b0512bf"
+        "version": "0.40.3",
+        "dockerImage": "googleapis/artman@sha256:c805f50525f5f557886c94ab76f56eaa09cb1da58c3ee95111fd34259376621a"
       }
     },
     {
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "2dec8f98383214ad4fafa7680eb0cc46d6531976",
-        "internalRef": "273619851"
+        "sha": "3fb0873b5f8a4cf5be4f848d20e5ccb2bdee1a67",
+        "internalRef": "277134185"
       }
     },
     {
       "template": {
         "name": "python_library",
         "origin": "synthtool.gcp",
-        "version": "2019.5.2"
+        "version": "2019.10.17"
       }
     }
   ],

videointelligence/tests/unit/gapic/v1/test_video_intelligence_service_client_v1.py

@@ -83,17 +83,17 @@ def test_annotate_video(self):
             client = videointelligence_v1.VideoIntelligenceServiceClient()
 
         # Setup Request
-        input_uri = "gs://cloud-samples-data/video/cat.mp4"
         features_element = enums.Feature.LABEL_DETECTION
         features = [features_element]
+        input_uri = "gs://cloud-samples-data/video/cat.mp4"
 
-        response = client.annotate_video(input_uri=input_uri, features=features)
+        response = client.annotate_video(features, input_uri=input_uri)
         result = response.result()
         assert expected_response == result
 
         assert len(channel.requests) == 1
         expected_request = video_intelligence_pb2.AnnotateVideoRequest(
-            input_uri=input_uri, features=features
+            features=features, input_uri=input_uri
         )
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
@@ -114,10 +114,10 @@ def test_annotate_video_exception(self):
             client = videointelligence_v1.VideoIntelligenceServiceClient()
 
         # Setup Request
-        input_uri = "gs://cloud-samples-data/video/cat.mp4"
         features_element = enums.Feature.LABEL_DETECTION
         features = [features_element]
+        input_uri = "gs://cloud-samples-data/video/cat.mp4"
 
-        response = client.annotate_video(input_uri=input_uri, features=features)
+        response = client.annotate_video(features, input_uri=input_uri)
         exception = response.exception()
         assert exception.errors[0] == error