Bug : model.py & utils.py – Unhandled Exceptions on Model Load#1853
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@omroy07 please merge under NSOC |
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I have completed the work to fix the unhandled exceptions on ML model load and prediction.
Here is a summary of what was accomplished:
Error Handling Implementation: Wrapped the model loading and inference logic in utils.py and model.py (both in the root directory and in the Disease prediction/ directory) inside try/except blocks.
Graceful Fallbacks: Enabled safe log reporting of errors and defined controlled/controlled fallback outputs (e.g. "Model unavailable") when model loading fails.
Stub Configuration Fix: Resolved a namespace collision in tests/conftest.py that was blocking standard google module imports like google.protobuf used by TensorFlow.
Verification: Added 5 unit tests in tests/test_predictions.py covering all the modified loading and inference scenarios, and confirmed that they all pass successfully.
closes #144