mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 11:16:31 +00:00
Oleksandr Bezdieniezhnykh
8ce40a9385
- 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.
68 lines
747 B
Plaintext
68 lines
747 B
Plaintext
.DS_Store
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*.swp
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*.swo
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*~
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Thumbs.db
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# Cython generated
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*.c
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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*.egg-info/
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*.egg
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dist/
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build/
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.eggs/
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*.whl
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.venv/
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venv/
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env/
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.env
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.env.*
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*.env.local
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pip-log.txt
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pip-delete-this-directory.txt
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.mypy_cache/
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.pytest_cache/
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.ruff_cache/
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htmlcov/
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.coverage
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.coverage.*
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coverage.xml
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*.cover
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.hypothesis/
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.tox/
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# Binary / media / model files
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*.onnx
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*.mp4
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*.avi
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*.jpg
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*.JPG
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*.jpeg
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*.png
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*.mlpackage
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*.mlmodel
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# Standalone skill output (ephemeral, not part of project)
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_standalone/
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# MCP config with credentials (use .cursor/mcp.json.example as template)
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.cursor/mcp.json
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# E2E compose env
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!e2e/.env
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# E2E test artifacts
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e2e/results/
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e2e/logs/
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!e2e/results/.gitkeep
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!e2e/logs/.gitkeep
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# Runtime logs
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Logs/
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