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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 TestConnection(unittest.TestCase):
@staticmethod
def _get_target_class():
from google.cloud.vision._http import Connection
return Connection
def _make_one(self, *args, **kw):
return self._get_target_class()(*args, **kw)
def test_default_url(self):
client = object()
conn = self._make_one(client)
self.assertEqual(conn._client, client)
def test_extra_headers(self):
from google.cloud import _http as base_http
from google.cloud.vision import _http as MUT
http = mock.Mock(spec=['request'])
response = mock.Mock(status=200, spec=['status'])
data = b'brent-spiner'
http.request.return_value = response, data
client = mock.Mock(_http=http, spec=['_http'])
conn = self._make_one(client)
req_data = 'req-data-boring'
result = conn.api_request(
'GET', '/rainbow', data=req_data, expect_json=False)
self.assertEqual(result, data)
expected_headers = {
'Content-Length': str(len(req_data)),
'Accept-Encoding': 'gzip',
base_http.CLIENT_INFO_HEADER: MUT._CLIENT_INFO,
'User-Agent': conn.USER_AGENT,
}
expected_uri = conn.build_api_url('/rainbow')
http.request.assert_called_once_with(
body=req_data,
headers=expected_headers,
method='GET',
uri=expected_uri,
)
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': []}
images = ((image, [feature]),)
response = http_api.annotate(images)
self.assertEqual(len(response), 0)
self.assertIsInstance(response, list)
def test_call_annotate_with_no_parameters(self):
client = mock.Mock(spec_set=['_connection'])
http_api = self._make_one(client)
http_api._connection = mock.Mock(spec_set=['api_request'])
results = http_api.annotate()
self.assertEqual(results, [])
http_api._connection.api_request.assert_not_called()
def test_call_annotate_with_pb_requests_results(self):
from google.cloud.proto.vision.v1 import image_annotator_pb2
client = mock.Mock(spec_set=['_connection'])
feature_type = image_annotator_pb2.Feature.CROP_HINTS
feature = image_annotator_pb2.Feature(type=feature_type, max_results=2)
image = image_annotator_pb2.Image(content=IMAGE_CONTENT)
aspect_ratios = [1.3333, 1.7777]
crop_hints_params = image_annotator_pb2.CropHintsParams(
aspect_ratios=aspect_ratios)
image_context = image_annotator_pb2.ImageContext(
crop_hints_params=crop_hints_params)
request = image_annotator_pb2.AnnotateImageRequest(
image=image, features=[feature], image_context=image_context)
http_api = self._make_one(client)
http_api._connection = mock.Mock(spec_set=['api_request'])
http_api._connection.api_request.return_value = {'responses': []}
responses = http_api.annotate(requests_pb=[request])
# Establish that one and exactly one api_request call was made.
self.assertEqual(http_api._connection.api_request.call_count, 1)
# Establish that the basic keyword arguments look correct.
call = http_api._connection.api_request.mock_calls[0]
self.assertEqual(call[2]['method'], 'POST')
self.assertEqual(call[2]['path'], '/images:annotate')
# Establish that the responses look correct.
self.assertEqual(responses, [])
self.assertEqual(len(responses), 0)
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 tests.unit._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
images = ((image, [feature]),)
responses = http_api.annotate(images)
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'])