refactor(runtime): simplify runtime options configuration and add uni…

…t tests for get_runtime function

focoos/runtime.py

@@ -22,7 +22,6 @@
 import numpy as np
 import onnxruntime as ort
 import supervision as sv
-from PIL import Image
 
 from focoos.ports import (
     FocoosTask,
@@ -373,22 +372,12 @@ def get_runtime(
     Returns:
         ONNXRuntime: A fully configured ONNXRuntime instance.
     """
-    if runtime_type == RuntimeTypes.ONNX_CUDA32:
-        opts = OnnxEngineOpts(
-            cuda=True, verbose=False, fp16=False, warmup_iter=warmup_iter
-        )
-    elif runtime_type == RuntimeTypes.ONNX_TRT32:
-        opts = OnnxEngineOpts(
-            cuda=False, verbose=False, trt=True, fp16=False, warmup_iter=warmup_iter
-        )
-    elif runtime_type == RuntimeTypes.ONNX_TRT16:
-        opts = OnnxEngineOpts(
-            cuda=False, verbose=False, trt=True, fp16=True, warmup_iter=warmup_iter
-        )
-    elif runtime_type == RuntimeTypes.ONNX_CPU:
-        opts = OnnxEngineOpts(cuda=False, verbose=False, warmup_iter=warmup_iter)
-    elif runtime_type == RuntimeTypes.ONNX_COREML:
-        opts = OnnxEngineOpts(
-            cuda=False, verbose=False, coreml=True, warmup_iter=warmup_iter
-        )
+    opts = OnnxEngineOpts(
+        cuda=runtime_type == RuntimeTypes.ONNX_CUDA32,
+        trt=runtime_type in [RuntimeTypes.ONNX_TRT32, RuntimeTypes.ONNX_TRT16],
+        fp16=runtime_type == RuntimeTypes.ONNX_TRT16,
+        warmup_iter=warmup_iter,
+        coreml=runtime_type == RuntimeTypes.ONNX_COREML,
+        verbose=False,
+    )
     return ONNXRuntime(model_path, opts, model_metadata)

tests/test_runtime.py

@@ -0,0 +1,104 @@
+import pathlib
+from unittest.mock import MagicMock
+
+import pytest
+from pytest_mock import MockerFixture
+
+from focoos.ports import ModelMetadata, OnnxEngineOpts, RuntimeTypes
+from focoos.runtime import ONNXRuntime, get_runtime
+
+
+@pytest.mark.parametrize(
+    "runtime_type, expected_opts",
+    [
+        (
+            RuntimeTypes.ONNX_CUDA32,
+            OnnxEngineOpts(
+                cuda=True,
+                trt=False,
+                fp16=False,
+                coreml=False,
+                verbose=False,
+                warmup_iter=2,
+            ),
+        ),
+        (
+            RuntimeTypes.ONNX_TRT32,
+            OnnxEngineOpts(
+                cuda=False,
+                trt=True,
+                fp16=False,
+                coreml=False,
+                verbose=False,
+                warmup_iter=2,
+            ),
+        ),
+        (
+            RuntimeTypes.ONNX_TRT16,
+            OnnxEngineOpts(
+                cuda=False,
+                trt=True,
+                fp16=True,
+                coreml=False,
+                verbose=False,
+                warmup_iter=2,
+            ),
+        ),
+        (
+            RuntimeTypes.ONNX_CPU,
+            OnnxEngineOpts(
+                cuda=False,
+                trt=False,
+                fp16=False,
+                coreml=False,
+                verbose=False,
+                warmup_iter=2,
+            ),
+        ),
+        (
+            RuntimeTypes.ONNX_COREML,
+            OnnxEngineOpts(
+                cuda=False,
+                trt=False,
+                fp16=False,
+                coreml=True,
+                verbose=False,
+                warmup_iter=2,
+            ),
+        ),
+    ],
+)
+def test_get_run_time(mocker: MockerFixture, tmp_path, runtime_type, expected_opts):
+    # mock model path
+    model_path = pathlib.Path(tmp_path) / "fakeref" / "model.onnx"
+    model_path.parent.mkdir(parents=True, exist_ok=True)
+    model_path.touch()
+    model_path = model_path.as_posix()
+
+    # mock model metadata
+    mock_model_metadata = MagicMock(spec=ModelMetadata)
+
+    # mock opts
+    mock_onnxruntime_class = mocker.patch("focoos.runtime.ONNXRuntime", autospec=True)
+    mock_onnxruntime_class.return_value = MagicMock(
+        spec=ONNXRuntime, opts=expected_opts
+    )
+
+    # warmup_iter
+    warmup_iter = 2
+
+    # call the function to test
+    onnx_runtime = get_runtime(
+        runtime_type=runtime_type,
+        model_path=model_path,
+        model_metadata=mock_model_metadata,
+        warmup_iter=warmup_iter,
+    )
+
+    # assertions
+    assert onnx_runtime is not None
+    mock_onnxruntime_class.assert_called_once_with(
+        model_path,
+        expected_opts,
+        mock_model_metadata,
+    )