feat: demonstrating testing with mocks using actual interfaces

generative_ai/gemma2_predict_gpu.py

@@ -0,0 +1,27 @@
+# Copyright 2024 Google LLC
+#
+# 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
+#
+#    https://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.
+
+from google.cloud import aiplatform
+
+
+def endpoint_predict_sample(
+    project: str, location: str, instances: list, endpoint: str
+):
+    aiplatform.init(project=project, location=location)
+
+    endpoint = aiplatform.Endpoint(endpoint)
+
+    prediction = endpoint.predict(instances=instances)
+    print(prediction)
+    return prediction

generative_ai/gemma2_predict_gpu_test.py

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+# Copyright 2024 Google LLC
+#
+# 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
+#
+#    https://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 pytest
+from unittest import mock
+from google.cloud import aiplatform
+from google.cloud.aiplatform import models
+
+# Interfaces defined here:
+# https://github.com/googleapis/python-aiplatform/blob/main/google/cloud/aiplatform/models.py
+
+from gemma2_predict_gpu import endpoint_predict_sample
+
+
+@pytest.fixture
+def mock_init():
+    return mock.Mock(spec=aiplatform.init)
+
+
+@pytest.fixture
+def mock_prediction():
+    return mock.Mock(spec=models.Prediction)
+
+
+@pytest.fixture
+def mock_endpoint():
+    return mock.Mock(spec=aiplatform.Endpoint)
+
+
+@mock.patch("google.cloud.aiplatform.Endpoint")
+@mock.patch("google.cloud.aiplatform.models.Prediction")
+@mock.patch("google.cloud.aiplatform.init")
+def test_gemma2_predict_gpu(mock_init, mock_prediction, mock_endpoint):
+    mock_endpoint.return_value.predict.return_value = mock_prediction
+
+    project_id = "fake-proj"
+    location = "fake-place"
+    instance = "Why is the sky blue?"
+    endpoint = "fake_endpoint_id"
+
+    prediction = endpoint_predict_sample(
+        project=project_id, location=location, instances=[instance], endpoint=endpoint
+    )
+
+    assert prediction