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https://github.com/azaion/ai-training.git
synced 2026-04-22 13:26:35 +00:00
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.
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@@ -20,15 +20,7 @@ if "matplotlib" not in sys.modules:
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def _patch_augmentation_paths(monkeypatch, base: Path):
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import augmentation as aug
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import constants as c
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apply_constants_patch(monkeypatch, base)
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monkeypatch.setattr(aug, "data_images_dir", c.data_images_dir)
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monkeypatch.setattr(aug, "data_labels_dir", c.data_labels_dir)
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monkeypatch.setattr(aug, "processed_images_dir", c.processed_images_dir)
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monkeypatch.setattr(aug, "processed_labels_dir", c.processed_labels_dir)
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monkeypatch.setattr(aug, "processed_dir", c.processed_dir)
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def _augment_annotation_with_total(monkeypatch):
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@@ -58,8 +50,8 @@ def test_rt_aug_01_corrupted_image_skipped(
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import constants as c
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from augmentation import Augmentator
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img_dir = Path(c.data_images_dir)
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lbl_dir = Path(c.data_labels_dir)
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img_dir = Path(c.config.data_images_dir)
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lbl_dir = Path(c.config.data_labels_dir)
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img_dir.mkdir(parents=True, exist_ok=True)
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lbl_dir.mkdir(parents=True, exist_ok=True)
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stem = sorted(fixture_images_dir.glob("*.jpg"))[0].stem
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@@ -68,7 +60,7 @@ def test_rt_aug_01_corrupted_image_skipped(
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raw = (fixture_images_dir / f"{stem}.jpg").read_bytes()[:200]
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(img_dir / "corrupted_trunc.jpg").write_bytes(raw)
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Augmentator().augment_annotations()
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proc_img = Path(c.processed_images_dir)
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proc_img = Path(c.config.processed_images_dir)
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assert len(list(proc_img.glob("*.jpg"))) == 8
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@@ -79,8 +71,8 @@ def test_rt_aug_02_missing_label_no_crash(tmp_path, monkeypatch, fixture_images_
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import constants as c
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from augmentation import Augmentator
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img_dir = Path(c.data_images_dir)
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lbl_dir = Path(c.data_labels_dir)
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img_dir = Path(c.config.data_images_dir)
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lbl_dir = Path(c.config.data_labels_dir)
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img_dir.mkdir(parents=True, exist_ok=True)
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lbl_dir.mkdir(parents=True, exist_ok=True)
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stem = "no_label_here"
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@@ -88,7 +80,7 @@ def test_rt_aug_02_missing_label_no_crash(tmp_path, monkeypatch, fixture_images_
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aug = Augmentator()
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aug.total_images_to_process = 1
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aug.augment_annotation(SimpleNamespace(name=f"{stem}.jpg"))
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assert len(list(Path(c.processed_images_dir).glob("*.jpg"))) == 0
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assert len(list(Path(c.config.processed_images_dir).glob("*.jpg"))) == 0
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@pytest.mark.resilience
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