def test_image_handler_cli(capsys, img_file):
test_image_handler = ImageHandler()
test_args = ["--input={}".format(img_file)]
test_image_handler.handle_cli(test_args, predict)
out, err = capsys.readouterr()
assert out.strip().endswith("(10, 10, 3)")
def test_image_handler_http_request_post_binary(img_file):
test_image_handler = ImageHandler()
request = mock.MagicMock(spec=flask.Request)
request.method = "POST"
request.files = {}
request.headers = {}
request.get_data.return_value = open(str(img_file), 'rb')
response = test_image_handler.handle_request(request, predict)
assert response.status_code == 200
assert "[10, 10, 3]" in str(response.response)
def test_image_handler_http_request_malformatted_input_missing_image_file():
test_image_handler = ImageHandler(input_names=("my_image", ))
request = mock.MagicMock(spec=flask.Request)
request.method = "POST"
request.files = {}
request.headers = {}
request.get_data.return_value = None
with pytest.raises(BadInput) as e:
test_image_handler.handle_request(request, predict)
assert "unexpected HTTP request format" in str(e.value)
class ExampleBentoService(bentoml.BentoService):
"""
Example BentoService class made for testing purpose
"""
@bentoml.api(input=DataframeHandler())
def predict(self, df):
"""An API for testing simple bento model service
"""
return self.artifacts.model.predict(df)
@bentoml.api(input=DataframeHandler(input_dtypes={"col1": "int"}))
def predict_dataframe(self, df):
"""predict_dataframe expects dataframe as input
"""
return self.artifacts.model.predict_dataframe(df)
@bentoml.api(DataframeHandler, input_dtypes={"col1": "int"})
def predict_dataframe_v1(self, df):
"""predict_dataframe expects dataframe as input
"""
return self.artifacts.model.predict_dataframe(df)
@bentoml.api(input=ImageHandler())
def predict_image(self, images):
return self.artifacts.model.predict_image(images)
@bentoml.api(input=LegacyImageHandler(input_names=('original', 'compared'))
)
def predict_images(self, original, compared):
return original[0, 0] == compared[0, 0]
@bentoml.api(input=JsonHandler())
def predict_json(self, input_data):
return self.artifacts.model.predict_json(input_data)
def test_image_handler_http_request_single_image_different_name(img_file):
test_image_handler = ImageHandler(input_names=("my_image", ))
request = mock.MagicMock(spec=flask.Request)
file_attr = {
'filename': 'test_img.png',
'read.return_value': open(str(img_file), 'rb').read(),
}
file = mock.Mock(**file_attr)
request.method = "POST"
request.files = {"a_differnt_name_used": file}
request.headers = {}
request.get_data.return_value = None
response = test_image_handler.handle_request(request, predict)
assert response.status_code == 200
assert "[10, 10, 3]" in str(response.response)
def test_image_handler_aws_lambda_event(img_file):
test_image_handler = ImageHandler()
with open(str(img_file), "rb") as image_file:
content = image_file.read()
try:
image_bytes_encoded = base64.encodebytes(content)
except AttributeError:
image_bytes_encoded = base64.encodestring(str(img_file))
aws_lambda_event = {
"body": image_bytes_encoded,
"headers": {
"Content-Type": "images/png"
},
}
aws_result = test_image_handler.handle_aws_lambda_event(
aws_lambda_event, predict)
assert aws_result["statusCode"] == 200
assert aws_result["body"] == "[10, 10, 3]"