Update functional tests

Author: sovrasov

.github/workflows/test_precommit.yml

@@ -35,7 +35,7 @@ jobs:
       - name: Run test
         run: |
           source venv/bin/activate
-          pytest tests/python/funtional
+          pytest --data=./data tests/python/funtional
   CPP-Code-Quality:
     name: CPP-Code-Quality
     runs-on: ubuntu-latest

tests/python/funtional/__init__.py

@@ -0,0 +1,4 @@
+#
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#

tests/python/funtional/conftest.py

@@ -0,0 +1,15 @@
+#
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import pytest
+
+
+def pytest_addoption(parser):
+    parser.addoption("--data", action="store", help="data folder with dataset")
+
+
+@pytest.fixture(scope="session")
+def data(pytestconfig):
+    return pytestconfig.getoption("data")

tests/python/funtional/test_load.py

@@ -2,13 +2,16 @@
 # Copyright (C) 2020-2024 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 #
+
+from pathlib import Path
+
 from model_api.models import Model
 
 
-def test_model_with_unnamed_output_load():
+def test_model_with_unnamed_output_load(data):
     # the model's output doesn't have a name
     _ = Model.create_model(
-        "data/otx_models/tinynet_imagenet.xml",
+        Path(data) / "otx_models/tinynet_imagenet.xml",
         model_type="Classification",
         preload=True,
     )

tests/python/funtional/test_save.py

@@ -2,6 +2,9 @@
 # Copyright (C) 2020-2024 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 #
+
+from pathlib import Path
+
 from model_api.models import Model
 from model_api.adapters import ONNXRuntimeAdapter
 from model_api.adapters.utils import load_parameters_from_onnx
@@ -60,9 +63,9 @@ def test_segmentor_save(tmp_path):
         assert getattr(downloaded, attr) == getattr(deserialized, attr)
 
 
-def test_onnx_save(tmp_path):
+def test_onnx_save(tmp_path, data):
     cls_model = Model.create_model(
-        ONNXRuntimeAdapter("data/otx_models/cls_mobilenetv3_large_cars.onnx"),
+        ONNXRuntimeAdapter(Path(data) / "otx_models/cls_mobilenetv3_large_cars.onnx"),
         model_type="Classification",
         preload=True,
         configuration={"reverse_input_channels": True, "topk": 6},