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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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Model Split Tests

Task: AZ-158_test_model_split Name: Model Split Tests Description: Implement 2 blackbox tests for model split storage — size constraint and reassembly integrity Complexity: 1 point Dependencies: AZ-152_test_infrastructure Component: Blackbox Tests Jira: AZ-158 Epic: AZ-151

Problem

Encrypted models are split into small and big parts for CDN storage. Tests must verify the split respects size constraints and reassembly produces the original.

Outcome

2 passing pytest tests in tests/test_model_split.py

Scope

Included

BT-SPL-01: Split respects size constraint (small ≤ max(3072 bytes, 20% of total))
BT-SPL-02: Reassembly produces original (small + big == encrypted bytes)

Excluded

CDN upload/download (requires external service)

Acceptance Criteria

AC-1: Size constraint Given 10000 encrypted bytes When split into small + big Then small ≤ max(3072, total × 0.2); big = remainder

AC-2: Reassembly Given split parts from 10000 encrypted bytes When small + big concatenated Then equals original encrypted bytes

Constraints

Uses generated binary data (no fixture files needed)
References SMALL_SIZE_KB constant from constants.py

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