[WIP] Test main error #1217

[henrykironde]

Note

Guard PIL imports against AttributeError/TypeError in main/model modules and enable informational Codecov patch status.

• Imports/Runtime robustness:
  • src/deepforest/main.py: Remove OmegaConf import; wrap PIL.Image import in try/except to tolerate AttributeError/TypeError.
  • src/deepforest/model.py: Wrap PIL.Image import in try/except to tolerate AttributeError/TypeError.
• CI:
  • codecov.yml: Enable coverage.status.patch.default.informational: true.

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[codecov]

Codecov Report

❌ Patch coverage is 60.00000% with 4 lines in your changes missing coverage. Please review.
✅ Project coverage is 87.39%. Comparing base (c10846a) to head (6ebafd8).
⚠️ Report is 7 commits behind head on main.

Files with missing lines	Patch %	Lines
src/deepforest/main.py	60.00%	2 Missing ⚠️
src/deepforest/model.py	60.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1218      +/-   ##
==========================================
- Coverage   87.47%   87.39%   -0.08%     
==========================================
  Files          20       20              
  Lines        2586     2611      +25     
==========================================
+ Hits         2262     2282      +20     
- Misses        324      329       +5     

Flag	Coverage Δ
unittests	87.39% <60.00%> (-0.08%)	⬇️

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[cursor]

Bug: Silent PIL import failure leaves Image undefined

The try-except block silently passes when importing Image from PIL fails with AttributeError or TypeError, leaving Image undefined. When predict_image() in main.py or val_dataset_confusion() in model.py later calls Image.open(), a confusing NameError will be raised instead of a clear import error message. If the intent is to handle specific PIL import issues, the code needs to either provide a fallback definition for Image or re-raise a more descriptive error.

Additional Locations (1)

• src/deepforest/model.py#L12-L16