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ai-training/pytest.ini
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Oleksandr Bezdieniezhnykh 142c6c4de8 Refactor constants management to use Pydantic BaseModel for configuration
- Replaced module-level path variables in constants.py with a structured Pydantic Config class.
- Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure.
- Fixed bugs related to image processing and model saving.
- Enhanced test infrastructure to accommodate the new configuration approach.

This refactor improves code maintainability and clarity by centralizing configuration management.
2026-03-27 18:18:30 +02:00

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INI

[pytest]
markers =
performance: Performance/throughput tests
resilience: Resilience/error handling tests
security: Security tests
resource_limit: Resource limit tests
e2e: End-to-end training pipeline tests (slow, require GPU/MPS)