mirror of
https://github.com/immich-app/immich.git
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c73832bd9c
* download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
34 lines
789 B
Python
34 lines
789 B
Python
from typing import Iterator, TypeAlias
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from unittest import mock
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import numpy as np
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import pytest
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from fastapi.testclient import TestClient
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from PIL import Image
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from .main import app, init_state
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ndarray: TypeAlias = np.ndarray[int, np.dtype[np.float32]]
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@pytest.fixture
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def pil_image() -> Image.Image:
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return Image.new("RGB", (600, 800))
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@pytest.fixture
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def cv_image(pil_image: Image.Image) -> ndarray:
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return np.asarray(pil_image)[:, :, ::-1] # PIL uses RGB while cv2 uses BGR
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@pytest.fixture
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def mock_get_model() -> Iterator[mock.Mock]:
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with mock.patch("app.models.cache.InferenceModel.from_model_type", autospec=True) as mocked:
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yield mocked
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@pytest.fixture(scope="session")
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def deployed_app() -> TestClient:
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init_state()
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return TestClient(app)
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