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Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management

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- Introduced `AIAvailabilityStatus` class to manage the availability status of AI models, including methods for setting status and logging messages.
- Added `AIRecognitionConfig` class to encapsulate configuration parameters for AI recognition, with a static method for creating instances from dictionaries.
- Implemented enums for AI availability states to enhance clarity and maintainability.
- Updated related Cython files to support the new classes and ensure proper type handling.

These changes aim to improve the structure and functionality of the AI model management system, facilitating better status tracking and configuration handling.
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-03-31 05:49:51 +03:00
parent fc57d677b4
commit 8ce40a9385
43 changed files with 1190 additions and 462 deletions
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Dockerfile.gpu
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@@ -5,5 +5,6 @@ COPY requirements.txt requirements-gpu.txt ./
RUN pip3 install --no-cache-dir -r requirements-gpu.txt
COPY . .
RUN python3 setup.py build_ext --inplace
ENV PYTHONPATH=/app/src
EXPOSE 8080
CMD ["python3", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080"]