fix detector unit tests

frigate/detectors/__init__.py

@@ -11,20 +11,20 @@ from .config import ModelConfig, DetectorConfig
 
 logger = logging.getLogger(__name__)
 
-
+api_types = {
-def create_detector(detector_config: DetectorConfig):
-    _api_types = {
     DetectorTypeEnum.cpu: CpuTfl,
     DetectorTypeEnum.edgetpu: EdgeTpuTfl,
     DetectorTypeEnum.openvino: OvDetector,
-    }
+}
 
+
+def create_detector(detector_config: DetectorConfig):
     if detector_config.type == DetectorTypeEnum.cpu:
         logger.warning(
             "CPU detectors are not recommended and should only be used for testing or for trial purposes."
         )
 
-    api = _api_types.get(detector_config.type)
+    api = api_types.get(detector_config.type)
     if not api:
         raise ValueError(detector_config.type)
     return api(detector_config)

frigate/test/test_object_detector.py

@@ -1,53 +1,49 @@
 import unittest
-from unittest.mock import patch
+from unittest.mock import Mock, patch
 
 import numpy as np
+from pydantic import parse_obj_as
+
 from frigate.enums import InputTensorEnum
 from frigate.detectors import DetectorTypeEnum
 from frigate.detectors.config import (
     CpuDetectorConfig,
     EdgeTpuDetectorConfig,
+    DetectorConfig,
     ModelConfig,
 )
+import frigate.detectors as detectors
 import frigate.object_detection
 
 
 class TestLocalObjectDetector(unittest.TestCase):
-    @patch("frigate.detectors.edgetpu_tfl.EdgeTpuTfl")
+    def test_localdetectorprocess_should_only_create_specified_detector_type(self):
-    @patch("frigate.detectors.cpu_tfl.CpuTfl")
+        for det_type in detectors.api_types:
-    def test_localdetectorprocess_given_type_cpu_should_call_cputfl_init(
+            with self.subTest(det_type=det_type):
-        self, mock_cputfl, mock_edgetputfl
+                with patch.dict(
+                    "frigate.detectors.api_types",
+                    {det_type: Mock() for det_type in DetectorTypeEnum},
                 ):
-        test_cfg = CpuDetectorConfig(num_threads=6)
+                    test_cfg = parse_obj_as(DetectorConfig, {"type": det_type})
                     test_cfg.model.path = "/test/modelpath"
                     test_obj = frigate.object_detection.LocalObjectDetector(
                         detector_config=test_cfg
                     )
 
                     assert test_obj is not None
-        mock_edgetputfl.assert_not_called()
+                    for api_key, mock_detector in detectors.api_types.items():
-        mock_cputfl.assert_called_once_with(detector_config=test_cfg)
+                        if test_cfg.type == api_key:
+                            mock_detector.assert_called_once_with(test_cfg)
+                        else:
+                            mock_detector.assert_not_called()
 
-    @patch("frigate.detectors.edgetpu_tfl.EdgeTpuTfl")
+    @patch.dict(
-    @patch("frigate.detectors.cpu_tfl.CpuTfl")
+        "frigate.detectors.api_types",
-    def test_localdetectorprocess_given_type_edgtpu_should_call_edgtpu_init(
+        {det_type: Mock() for det_type in DetectorTypeEnum},
-        self, mock_cputfl, mock_edgetputfl
-    ):
-        test_cfg = EdgeTpuDetectorConfig(device="usb")
-        test_cfg.model.path = "/test/modelpath"
-
-        test_obj = frigate.object_detection.LocalObjectDetector(
-            detector_config=test_cfg
     )
+    def test_detect_raw_given_tensor_input_should_return_api_detect_raw_result(self):
+        mock_cputfl = detectors.api_types[DetectorTypeEnum.cpu]
 
-        assert test_obj is not None
-        mock_cputfl.assert_not_called()
-        mock_edgetputfl.assert_called_once_with(detector_config=test_cfg)
-
-    @patch("frigate.detectors.cpu_tfl.CpuTfl")
-    def test_detect_raw_given_tensor_input_should_return_api_detect_raw_result(
-        self, mock_cputfl
-    ):
         TEST_DATA = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
         TEST_DETECT_RESULT = np.ndarray([1, 2, 4, 8, 16, 32])
         test_obj_detect = frigate.object_detection.LocalObjectDetector(
@@ -62,10 +58,15 @@ class TestLocalObjectDetector(unittest.TestCase):
         mock_det_api.detect_raw.assert_called_once_with(tensor_input=TEST_DATA)
         assert test_result is mock_det_api.detect_raw.return_value
 
-    @patch("frigate.detectors.CpuTfl")
+    @patch.dict(
+        "frigate.detectors.api_types",
+        {det_type: Mock() for det_type in DetectorTypeEnum},
+    )
     def test_detect_raw_given_tensor_input_should_call_api_detect_raw_with_transposed_tensor(
-        self, mock_cputfl
+        self,
     ):
+        mock_cputfl = detectors.api_types[DetectorTypeEnum.cpu]
+
         TEST_DATA = np.zeros((1, 32, 32, 3), np.uint8)
         TEST_DETECT_RESULT = np.ndarray([1, 2, 4, 8, 16, 32])
 
@@ -89,11 +90,16 @@ class TestLocalObjectDetector(unittest.TestCase):
 
         assert test_result is mock_det_api.detect_raw.return_value
 
-    @patch("frigate.detectors.CpuTfl")
+    @patch.dict(
+        "frigate.detectors.api_types",
+        {det_type: Mock() for det_type in DetectorTypeEnum},
+    )
     @patch("frigate.object_detection.load_labels")
     def test_detect_given_tensor_input_should_return_lfiltered_detections(
-        self, mock_load_labels, mock_cputfl
+        self, mock_load_labels
     ):
+        mock_cputfl = detectors.api_types[DetectorTypeEnum.cpu]
+
         TEST_DATA = np.zeros((1, 32, 32, 3), np.uint8)
         TEST_DETECT_RAW = [
             [2, 0.9, 5, 4, 3, 2],