mirror of
https://github.com/azaion/ai-training.git
synced 2026-04-22 05:26:36 +00:00
Oleksandr Bezdieniezhnykh
243b69656b
- Modified `.gitignore` to reflect the new path for test results. - Updated `docker-compose.test.yml` to mount the correct test results directory. - Adjusted `Dockerfile.test` to set the `PYTHONPATH` and ensure test results are saved in the updated location. - Added `boto3` and `netron` to `requirements-test.txt` to support new functionalities. - Updated `pytest.ini` to include the new `pythonpath` for test discovery. These changes streamline the testing process and ensure compatibility with the updated directory structure.
129 lines
3.7 KiB
Python
129 lines
3.7 KiB
Python
import shutil
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from pathlib import Path
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import pytest
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_PROJECT_ROOT = Path(__file__).resolve().parent.parent
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_DATASET_IMAGES = _PROJECT_ROOT / "_docs/00_problem/input_data/dataset/images"
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_DATASET_LABELS = _PROJECT_ROOT / "_docs/00_problem/input_data/dataset/labels"
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_ONNX_MODEL = _PROJECT_ROOT / "_docs/00_problem/input_data/azaion.onnx"
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_CLASSES_JSON = _PROJECT_ROOT / "src" / "classes.json"
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_CONFIG_TEST = _PROJECT_ROOT / "config.test.yaml"
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collect_ignore = ["security_test.py", "imagelabel_visualize_test.py"]
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def apply_constants_patch(monkeypatch, base: Path):
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import constants as c
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monkeypatch.setattr(c, "config", c.Config.from_yaml(str(_CONFIG_TEST), root=str(base / "azaion")))
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@pytest.fixture(scope="session")
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def fixture_images_dir():
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p = _DATASET_IMAGES
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if not p.is_dir():
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pytest.skip(f"missing dataset images: {p}")
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return p
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@pytest.fixture(scope="session")
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def fixture_labels_dir():
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p = _DATASET_LABELS
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if not p.is_dir():
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pytest.skip(f"missing dataset labels: {p}")
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return p
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@pytest.fixture(scope="session")
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def fixture_onnx_model():
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p = _ONNX_MODEL
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if not p.is_file():
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pytest.skip(f"missing onnx model: {p}")
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return p.read_bytes()
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@pytest.fixture(scope="session")
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def fixture_classes_json():
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p = _CLASSES_JSON
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if not p.is_file():
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pytest.skip(f"missing classes.json: {p}")
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return p
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@pytest.fixture
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def constants_patch(monkeypatch):
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def _apply(base: Path):
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apply_constants_patch(monkeypatch, base)
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return _apply
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@pytest.fixture
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def work_dir(tmp_path):
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w = tmp_path / "work"
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(w / "images").mkdir(parents=True)
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(w / "labels").mkdir(parents=True)
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return w
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@pytest.fixture
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def sample_image_label(fixture_images_dir, fixture_labels_dir, tmp_path):
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imgs = sorted(fixture_images_dir.glob("*.jpg"))
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if not imgs:
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raise RuntimeError("no images in fixture_images_dir")
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stem = imgs[0].stem
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src_img = fixture_images_dir / f"{stem}.jpg"
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src_lbl = fixture_labels_dir / f"{stem}.txt"
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dst_img = tmp_path / "images" / f"{stem}.jpg"
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dst_lbl = tmp_path / "labels" / f"{stem}.txt"
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dst_img.parent.mkdir(parents=True, exist_ok=True)
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dst_lbl.parent.mkdir(parents=True, exist_ok=True)
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shutil.copy2(src_img, dst_img)
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shutil.copy2(src_lbl, dst_lbl)
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return dst_img, dst_lbl
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@pytest.fixture
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def sample_images_labels(fixture_images_dir, fixture_labels_dir, tmp_path):
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def _factory(count: int):
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if count < 1:
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raise ValueError("count must be >= 1")
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imgs = sorted(fixture_images_dir.glob("*.jpg"))
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if count > len(imgs):
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raise ValueError("count exceeds available images")
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out_img = tmp_path / "images"
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out_lbl = tmp_path / "labels"
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out_img.mkdir(parents=True, exist_ok=True)
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out_lbl.mkdir(parents=True, exist_ok=True)
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for p in imgs[:count]:
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stem = p.stem
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shutil.copy2(fixture_images_dir / f"{stem}.jpg", out_img / f"{stem}.jpg")
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shutil.copy2(fixture_labels_dir / f"{stem}.txt", out_lbl / f"{stem}.txt")
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return out_img, out_lbl
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return _factory
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@pytest.fixture
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def corrupted_label(tmp_path):
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p = tmp_path / "labels" / "corrupted.txt"
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p.parent.mkdir(parents=True, exist_ok=True)
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p.write_text("0 1.5 0.5 0.1 0.1\n", encoding="utf-8")
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return p
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@pytest.fixture
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def edge_bbox_label(tmp_path):
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p = tmp_path / "labels" / "edge.txt"
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p.parent.mkdir(parents=True, exist_ok=True)
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p.write_text("0 0.01 0.5 0.02 0.3\n", encoding="utf-8")
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return p
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@pytest.fixture
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def empty_label(tmp_path):
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p = tmp_path / "labels" / "empty.txt"
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p.parent.mkdir(parents=True, exist_ok=True)
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p.write_text("", encoding="utf-8")
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return p
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