update samples to v1 [(#1221)](GoogleCloudPlatform/python-docs-sample…

…s#1221)

* update samples to v1

* replace while loop with operation.result(timeout)

* addressing review comments

* flake

* flake

samples/shotchange/requirements.txt

@@ -1 +1 @@
-google-cloud-videointelligence==0.28.0
+google-cloud-videointelligence==1.0.0

samples/shotchange/shotchange.py

@@ -29,36 +29,27 @@
 # [START full_tutorial]
 # [START imports]
 import argparse
-import sys
-import time
 
-from google.cloud import videointelligence_v1beta2
-from google.cloud.videointelligence_v1beta2 import enums
+from google.cloud import videointelligence
 # [END imports]
 
 
 def analyze_shots(path):
  """ Detects camera shot changes. """
  # [START construct_request]
- video_client = videointelligence_v1beta2.VideoIntelligenceServiceClient()
- features = [enums.Feature.SHOT_CHANGE_DETECTION]
- operation = video_client.annotate_video(path, features)
+ video_client = videointelligence.VideoIntelligenceServiceClient()
+ features = [videointelligence.enums.Feature.SHOT_CHANGE_DETECTION]
+ operation = video_client.annotate_video(path, features=features)
  # [END construct_request]
  print('\nProcessing video for shot change annotations:')
 
  # [START check_operation]
- while not operation.done():
- sys.stdout.write('.')
- sys.stdout.flush()
- time.sleep(20)
-
+ result = operation.result(timeout=90)
  print('\nFinished processing.')
  # [END check_operation]
 
  # [START parse_response]
- shots = operation.result().annotation_results[0].shot_annotations
-
- for i, shot in enumerate(shots):
+ for i, shot in enumerate(result.annotation_results[0].shot_annotations):
  start_time = (shot.start_time_offset.seconds +
  shot.start_time_offset.nanos / 1e9)
  end_time = (shot.end_time_offset.seconds +