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ai-training/Dockerfile.test
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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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Docker

FROM python:3.10-slim
WORKDIR /app
RUN apt-get update && \
apt-get install -y --no-install-recommends libgl1 libglib2.0-0 && \
rm -rf /var/lib/apt/lists/*
COPY requirements-test.txt .
RUN pip install --no-cache-dir -r requirements-test.txt
COPY . .
CMD ["python", "-m", "pytest", "tests/", "--tb=short", "--junitxml=/app/test-results/test-results.xml", "-q"]