import time import pytest _DETECT_TIMEOUT = 60 def _get_health(http_client): r = http_client.get("/health") r.raise_for_status() return r.json() def _assert_active_ai(data): assert data["status"] == "healthy" assert data["aiAvailability"] not in ("None", "Downloading") @pytest.mark.cpu class TestHealthEngineStep01PreInit: def test_ft_p_01_pre_init_health(self, http_client): t0 = time.monotonic() data = _get_health(http_client) assert time.monotonic() - t0 < 2.0 assert data["status"] == "healthy" assert data["aiAvailability"] == "None", ( f"engine already initialized (aiAvailability={data['aiAvailability']}); " "pre-init tests must run before any test that triggers warm_engine" ) assert data.get("errorMessage") is None @pytest.mark.cpu @pytest.mark.slow class TestHealthEngineStep02LazyInit: def test_ft_p_14_lazy_initialization(self, http_client, image_small, auth_headers): before = _get_health(http_client) assert before["aiAvailability"] == "None", ( f"engine already initialized (aiAvailability={before['aiAvailability']}); " "lazy-init test must run before any test that triggers warm_engine" ) files = {"file": ("lazy.jpg", image_small, "image/jpeg")} r = http_client.post("/detect/image", files=files, headers=auth_headers, timeout=_DETECT_TIMEOUT) r.raise_for_status() body = r.json() assert isinstance(body, list) after = _get_health(http_client) _assert_active_ai(after) @pytest.mark.cpu @pytest.mark.slow class TestHealthEngineStep03Warmed: @pytest.fixture(autouse=True) def _warm(self, warm_engine): pass def test_ft_p_02_post_init_health(self, http_client): data = _get_health(http_client) _assert_active_ai(data) assert data.get("errorMessage") is None def test_ft_p_15_onnx_cpu_detect(self, http_client, image_small, auth_headers): files = {"file": ("onnx.jpg", image_small, "image/jpeg")} r = http_client.post("/detect/image", files=files, headers=auth_headers, timeout=_DETECT_TIMEOUT) r.raise_for_status() body = r.json() assert isinstance(body, list) if body: d = body[0] for k in ( "centerX", "centerY", "width", "height", "classNum", "label", "confidence", ): assert k in d