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# Copyright 2016 Google Inc.
#
# 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.
import base64
import unittest
import mock
IMAGE_CONTENT = b'/9j/4QNURXhpZgAASUkq'
PROJECT = 'PROJECT'
B64_IMAGE_CONTENT = base64.b64encode(IMAGE_CONTENT).decode('ascii')
class Test_HTTPVisionAPI(unittest.TestCase):
def _get_target_class(self):
from google.cloud.vision._http import _HTTPVisionAPI
return _HTTPVisionAPI
def _make_one(self, *args, **kwargs):
return self._get_target_class()(*args, **kwargs)
def test_call_annotate_with_no_results(self):
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=['_connection'])
feature = Feature(FeatureTypes.LABEL_DETECTION, 5)
image_content = b'abc 1 2 3'
image = Image(client, content=image_content)
http_api = self._make_one(client)
http_api._connection = mock.Mock(spec_set=['api_request'])
http_api._connection.api_request.return_value = {'responses': []}
response = http_api.annotate(image, [feature])
self.assertEqual(len(response), 0)
self.assertIsInstance(response, list)
def test_call_annotate_with_more_than_one_result(self):
from google.cloud.vision.feature import Feature
from google.cloud.vision.feature import FeatureTypes
from google.cloud.vision.image import Image
from google.cloud.vision.likelihood import Likelihood
from unit_tests._fixtures import MULTIPLE_RESPONSE
client = mock.Mock(spec_set=['_connection'])
feature = Feature(FeatureTypes.LABEL_DETECTION, 5)
image_content = b'abc 1 2 3'
image = Image(client, content=image_content)
http_api = self._make_one(client)
http_api._connection = mock.Mock(spec_set=['api_request'])
http_api._connection.api_request.return_value = MULTIPLE_RESPONSE
responses = http_api.annotate(image, [feature])
self.assertEqual(len(responses), 2)
image_one = responses[0]
image_two = responses[1]
self.assertEqual(len(image_one.labels), 3)
self.assertIsInstance(image_one.safe_searches, tuple)
self.assertEqual(image_two.safe_searches.adult,
Likelihood.VERY_UNLIKELY)
self.assertEqual(len(image_two.labels), 0)
class TestVisionRequest(unittest.TestCase):
@staticmethod
def _get_target_function():
from google.cloud.vision._http import _make_request
return _make_request
def _call_fut(self, *args, **kw):
return self._get_target_function()(*args, **kw)
def test_call_vision_request(self):
from google.cloud.vision.feature import Feature
from google.cloud.vision.feature import FeatureTypes
from google.cloud.vision.image import Image
client = object()
image = Image(client, content=IMAGE_CONTENT)
feature = Feature(feature_type=FeatureTypes.FACE_DETECTION,
max_results=3)
request = self._call_fut(image, feature)
self.assertEqual(request['image'].get('content'), B64_IMAGE_CONTENT)
features = request['features']
self.assertEqual(len(features), 1)
feature = features[0]
self.assertEqual(feature['type'], FeatureTypes.FACE_DETECTION)
self.assertEqual(feature['maxResults'], 3)
def test_call_vision_request_with_not_feature(self):
from google.cloud.vision.image import Image
client = object()
image = Image(client, content=IMAGE_CONTENT)
with self.assertRaises(TypeError):
self._call_fut(image, 'nonsensefeature')
def test_call_vision_request_with_list_bad_features(self):
from google.cloud.vision.image import Image
client = object()
image = Image(client, content=IMAGE_CONTENT)
with self.assertRaises(TypeError):
self._call_fut(image, ['nonsensefeature'])