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feat(tests): run inference tests only on selected model type #626

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925ee72
feat(tests): run inference tests only on selected model type
tybulewicz Jul 7, 2026
51d8f89
Restore return type
tybulewicz Jul 7, 2026
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6 changes: 6 additions & 0 deletions model_api/tests/functional/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,12 @@ def pytest_addoption(parser):
default="",
help="directory to store inference result",
)
parser.addoption(
"--only-model-type",
action="store",
default="",
help="select model type to run tests on (and all that inherit from it)",
)
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def pytest_configure(config):
Expand Down
19 changes: 17 additions & 2 deletions model_api/tests/functional/test_inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import json
import operator
from pathlib import Path
from typing import Type

import cv2
import numpy as np
Expand All @@ -32,6 +33,7 @@
InstanceSegmentationResult,
KeypointDetectionModel,
MaskRCNNModel,
Model,
Prompt,
SAMDecoder,
SAMImageEncoder,
Expand Down Expand Up @@ -145,6 +147,14 @@ def model_data_file(pytestconfig):
return pytestconfig.getoption("model_data")


@pytest.fixture(scope="session")
def only_model_class(pytestconfig) -> Type[Model] | None:
model_type = pytestconfig.getoption("only_model_type")
if not model_type:
return None
return Model.get_model_class(model_type)


def pytest_generate_tests(metafunc):
if "model_data" in metafunc.fixturenames:
model_data_file = metafunc.config.getoption("model_data")
Expand Down Expand Up @@ -416,13 +426,18 @@ def assert_contours_match(actual: list[dict], expected: list[dict]) -> None:
)


def test_image_models(data, device, dump, result, model_data, results_dir): # noqa: C901
def test_image_models(data, device, dump, result, model_data, results_dir, only_model_class): # noqa: C901
name = model_data["name"]

model_type = MODEL_TYPE_MAPPING[model_data["type"]]
if only_model_class and not issubclass(model_type, only_model_class):
pytest.skip(f"Skipping {name} as it is not a subclass of {only_model_class.__name__}")

if name.endswith((".xml", ".onnx")):
name = f"{data}/{name}"

for model in create_models(
MODEL_TYPE_MAPPING[model_data["type"]],
model_type,
name,
data,
model_data.get("force_ort", False),
Expand Down