def test_annotate_multiple_results(self):
from google.cloud.grpc.vision.v1 import image_annotator_pb2
from google.cloud.vision.annotations import Annotations
from google.cloud.vision.feature import Feature
from google.cloud.vision.feature import FeatureTypes
from google.cloud.vision.image import Image
client = mock.Mock(spec_set=[])
feature = Feature(FeatureTypes.LABEL_DETECTION, 5)
image_content = b'abc 1 2 3'
image = Image(client, content=image_content)
with mock.patch('google.cloud.vision._gax.image_annotator_client.'
'ImageAnnotatorClient'):
gax_api = self._make_one(client)
responses = [
image_annotator_pb2.AnnotateImageResponse(),
image_annotator_pb2.AnnotateImageResponse(),
]
response = image_annotator_pb2.BatchAnnotateImagesResponse(
responses=responses)
gax_api._annotator_client = mock.Mock(
spec_set=['batch_annotate_images'])
gax_api._annotator_client.batch_annotate_images.return_value = response
images = ((image, [feature]), )
responses = gax_api.annotate(images)
self.assertEqual(len(responses), 2)
self.assertIsInstance(responses[0], Annotations)
self.assertIsInstance(responses[1], Annotations)
gax_api._annotator_client.batch_annotate_images.assert_called()
def test_it(self):
from google.cloud.grpc.vision.v1 import image_annotator_pb2
description = 'testing 1 2 3'
locale = 'US'
mid = 'm/w/45342234'
score = 0.235434231
entity_annotation = _make_pb_entity()
image_response = image_annotator_pb2.AnnotateImageResponse(
label_annotations=[entity_annotation])
annotations = self._call_fut(image_response)
self.assertEqual(len(annotations['labels']), 1)
entity = annotations['labels'][0]
self.assertEqual(entity.description, description)
self.assertEqual(entity.mid, mid)
self.assertEqual(entity.locale, locale)
self.assertEqual(entity.score, score)
self.assertEqual(len(entity.bounds.vertices), 1)
self.assertEqual(entity.bounds.vertices[0].x_coordinate, 1)
self.assertEqual(entity.bounds.vertices[0].y_coordinate, 2)
self.assertEqual(len(entity.locations), 1)
self.assertEqual(entity.locations[0].latitude, 1.0)
self.assertEqual(entity.locations[0].longitude, 2.0)
def test_from_pb(self):
from google.cloud.vision.likelihood import Likelihood
from google.cloud.vision.safe_search import SafeSearchAnnotation
from google.cloud.grpc.vision.v1 import image_annotator_pb2
image_response = image_annotator_pb2.AnnotateImageResponse()
annotations = self._make_one().from_pb(image_response)
self.assertEqual(annotations.labels, [])
self.assertEqual(annotations.logos, [])
self.assertEqual(annotations.faces, [])
self.assertEqual(annotations.landmarks, [])
self.assertEqual(annotations.texts, [])
self.assertIsNone(annotations.properties)
self.assertIsInstance(annotations.safe_searches, SafeSearchAnnotation)
safe_search = annotations.safe_searches
unknown = Likelihood.UNKNOWN
self.assertIs(safe_search.adult, unknown)
self.assertIs(safe_search.spoof, unknown)
self.assertIs(safe_search.medical, unknown)
self.assertIs(safe_search.violence, unknown)
