test: add TestLAFE.t_extract_mocked_get)loudnesses()

Gets test coverage for this module to 100%! (for now)

test/test_feature_extractors.py

@@ -1,6 +1,7 @@
 """test_feature_extractors.py - test pipeline feature extractors"""
 import unittest
 import os
+import random
 import pytest
 import pipeline.feature_extractors as extractors
 
@@ -162,6 +163,30 @@ class TestLoudAudioFeatureExtractor(unittest.TestCase):
         """
         return [(0.0, 0.0), (1.0, 1.0), (2.0, 2.0), (3.0, 3.0), (4.0, 4.0)]
 
+    def _mock_get_loudnessess(self, *args, length=100, min_loudness=-101, max_loudness=100,
+                              seed=42, **kwargs) -> list:
+        """Mock _get_loudnesses()
+
+        Parameters:
+          - length : int >=0, number of loudness instances to generate
+          - min_loudness : int, minimum loudness value (special value: -101 for "-inf")
+          - max_loudness : int, maximum loudness value
+
+        Note that int min/max loudness are divided by float 100
+        to get the actual loudness value between -1.0 and 1.0
+
+        Return a list of 2-tuple floats (timecode, loudness) representing loud audio instances
+        """
+        loudnesses = []
+        random.seed(seed)
+        for i in range(length):
+            loudness = random.randint(min_loudness, max_loudness) / 100
+            if min_loudness == -101:
+                loudness = "-inf" if loudness == -1.01 else f"{loudness}"
+            loudnesses.append((float(f"{i}.0"), float(loudness)))
+
+        return loudnesses
+
     def test_init(self):
         video_source = TestSourceMedia().one_colour_silent_audio()
         test_extractor = extractors.LoudAudioFeatureExtractor(input_files=video_source)
@@ -191,6 +216,16 @@ class TestLoudAudioFeatureExtractor(unittest.TestCase):
         test_extractor.teardown()
         self.assertEqual(len(test_extractor.features), 5)
 
+    def test_extract_mocked_get_loudnesses(self):
+        """Test extract with mocked loudness detection"""
+        video_source = TestSourceMedia().one_colour_silent_audio()
+        test_extractor = extractors.LoudAudioFeatureExtractor(input_files=video_source)
+        test_extractor._get_loudnesses = self._mock_get_loudnessess
+        test_extractor.setup()
+        test_extractor.run()
+        test_extractor.teardown()
+        self.assertEqual(len(test_extractor.features), 100)
+
     # TODO: add sample video with loud audio to test _loudnessdetect()
 
 class TestVideoActivityFeatureExtractor(unittest.TestCase):