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import os
import unittest
from io import BytesIO
from unittest import mock
import app.image_classifier_app as ui_app
from PIL import Image
path_tests = os.path.dirname(os.path.abspath(__file__))
class TestMLService(unittest.TestCase):
# 💡 NOTE Run tests with: python tests/test_image_classifier_app.py
def setUp(self):
self.token = "dummy_token"
self.image_file = Image.open(path_tests + "/dog.jpeg")
self.uploaded_file = mock.MagicMock(spec=BytesIO)
self.uploaded_file.getvalue.return_value = BytesIO()
self.uploaded_file.name = "dog.jpeg"
self.image_file.save(self.uploaded_file, format="JPEG")
self.headers = {"Authorization": f"Bearer {self.token}"}
# python3 -m unittest -vvv tests.test_model
def test_login_success(self):
# 💡 NOTE Run test with: python -m unittest -vvv tests.test_image_classifier_app.TestMLService.test_login_success
expected_token = "dummy_token"
response_data = {"access_token": expected_token}
with mock.patch("requests.post") as mock_post:
mock_post.return_value.status_code = 200
mock_post.return_value.json.return_value = response_data
token = ui_app.login("username", "password")
headers = {
"accept": "application/json",
"Content-Type": "application/x-www-form-urlencoded",
}
self.assertEqual(token, expected_token)
mock_post.assert_called_once_with(
ui_app.API_BASE_URL + "/login",
headers=headers,
data={
"grant_type": "",
"username": "username",
"password": "password",
"scope": "",
"client_id": "",
"client_secret": "",
},
)
def test_login_failure(self):
# 💡 NOTE Run test with: python -m unittest -vvv tests.test_image_classifier_app.TestMLService.test_login_failure
with mock.patch("requests.post") as mock_post:
mock_post.return_value.status_code = 401
token = ui_app.login("username", "password")
headers = {
"accept": "application/json",
"Content-Type": "application/x-www-form-urlencoded",
}
self.assertIsNone(token)
mock_post.assert_called_once_with(
ui_app.API_BASE_URL + "/login",
headers=headers,
data={
"grant_type": "",
"username": "username",
"password": "password",
"scope": "",
"client_id": "",
"client_secret": "",
},
)
def test_predict_success(self):
# 💡 NOTE Run test with: python -m unittest -vvv tests.test_image_classifier_app.TestMLService.test_predict_success
expected_response = {"prediction": "Eskimo_dog", "score": 0.9346}
with mock.patch("requests.post") as mock_post:
mock_post.return_value.status_code = 200
mock_post.return_value.json.return_value = expected_response
response = ui_app.predict(self.token, self.uploaded_file)
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), expected_response)
mock_post.assert_called_once_with(
ui_app.API_BASE_URL + "/model/predict",
files={
"file": (self.uploaded_file.name, self.uploaded_file.getvalue())
},
headers=self.headers,
)
def test_predict_failure(self):
# 💡 NOTE Run test with: python -m unittest -vvv tests.test_image_classifier_app.TestMLService.test_predict_failure
with mock.patch("requests.post") as mock_post:
mock_post.return_value.status_code = 500
response = ui_app.predict(self.token, self.uploaded_file)
self.assertEqual(response.status_code, 500)
mock_post.assert_called_once_with(
ui_app.API_BASE_URL + "/model/predict",
files={
"file": (self.uploaded_file.name, self.uploaded_file.getvalue())
},
headers=self.headers,
)
def test_send_feedback_success(self):
# 💡 NOTE Run test with: python -m unittest -vvv tests.test_image_classifier_app.TestMLService.test_send_feedback_success
expected_response = {"status": "success"}
feedback = "This is a feedback"
score = 0.9346
prediction = "Eskimo_dog"
image_file_name = "dog.jpeg"
with mock.patch("requests.post") as mock_post:
mock_post.return_value.status_code = 201
mock_post.return_value.json.return_value = expected_response
response = ui_app.send_feedback(
self.token, feedback, score, prediction, image_file_name
)
self.assertEqual(response.status_code, 201)
self.assertEqual(response.json(), expected_response)
mock_post.assert_called_once_with(
ui_app.API_BASE_URL + "/feedback",
json={
"feedback": feedback,
"score": score,
"predicted_class": prediction,
"image_file_name": image_file_name,
},
headers=self.headers,
)
def test_send_feedback_failure(self):
# 💡 NOTE Run test with: python -m unittest -vvv tests.test_image_classifier_app.TestMLService.test_send_feedback_failure
feedback = "This is a feedback"
score = 0.9346
prediction = "Eskimo_dog"
image_file_name = "dog.jpeg"
with mock.patch("requests.post") as mock_post:
mock_post.return_value.status_code = 500
response = ui_app.send_feedback(
self.token, feedback, score, prediction, image_file_name
)
self.assertEqual(response.status_code, 500)
mock_post.assert_called_once_with(
ui_app.API_BASE_URL + "/feedback",
json={
"feedback": feedback,
"score": score,
"predicted_class": prediction,
"image_file_name": image_file_name,
},
headers=self.headers,
)
if __name__ == "__main__":
unittest.main(verbosity=2)
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