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immich/machine-learning/app/conftest.py
Mert 258b98c262
fix(ml): load models in separate threads (#4034)
* load models in thread

* set clip mode logs to debug level

* updated tests

* made fixtures slightly less ugly

* moved responses to json file

* formatting
2023-09-09 16:02:44 +07:00

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Python

import json
from typing import Any, Iterator, TypeAlias
from unittest import mock
import numpy as np
import pytest
from fastapi.testclient import TestClient
from PIL import Image
from .main import app, init_state
ndarray: TypeAlias = np.ndarray[int, np.dtype[np.float32]]
@pytest.fixture
def pil_image() -> Image.Image:
return Image.new("RGB", (600, 800))
@pytest.fixture
def cv_image(pil_image: Image.Image) -> ndarray:
return np.asarray(pil_image)[:, :, ::-1] # PIL uses RGB while cv2 uses BGR
@pytest.fixture
def mock_get_model() -> Iterator[mock.Mock]:
with mock.patch("app.models.cache.InferenceModel.from_model_type", autospec=True) as mocked:
yield mocked
@pytest.fixture(scope="session")
def deployed_app() -> TestClient:
init_state()
return TestClient(app)
@pytest.fixture(scope="session")
def responses() -> dict[str, Any]:
return json.load(open("responses.json", "r"))