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ai-training/_docs/02_document/modules/utils.md
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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

697 B

Module: utils

Purpose

Provides a dictionary subclass that supports dot-notation attribute access.

Public Interface

Name Type Signature
Dotdict class (extends dict) Dotdict(dict)

Dotdict overrides __getattr__, __setattr__, __delattr__ to delegate to dict.get, dict.__setitem__, dict.__delitem__ respectively.

Internal Logic

Single-class module. Allows config.url instead of config["url"] for YAML-loaded dicts.

Dependencies

None (stdlib dict only).

Consumers

exports, train, start_inference

Data Models

None.

Configuration

None.

External Integrations

None.

Security

None.

Tests

None.