Function test_vfr_csv_accuracy

tests/test_vfr.py:274–296

CSV timecodes for VFR video should match known ground truth for both backends.

(test_vfr_video: str, backend: str, tmp_path)

@pytest.mark.parametrize("backend", ["pyav", "opencv"])
def test_vfr_csv_accuracy(test_vfr_video: str, backend: str, tmp_path):
    """CSV timecodes for VFR video should match known ground truth for both backends."""
    video = open_video(test_vfr_video, backend=backend)
    sm = SceneManager()
    sm.add_detector(ContentDetector())
    sm.detect_scenes(video=video, end_time=10.0)
    scene_list = sm.get_scene_list()
    assert len(scene_list) >= len(EXPECTED_SCENES_VFR)

    csv_path = tmp_path / "scenes.csv"
    with open(csv_path, "w", newline="") as f:
        write_scene_list(f, scene_list, include_cut_list=False)

    with open(csv_path) as f:
        rows = list(csv.DictReader(f))

    for i, (row, (exp_start, exp_end)) in enumerate(zip(rows, EXPECTED_SCENES_VFR, strict=False)):
        assert row["Start Timecode"] == exp_start, (
            f"[{backend}] Scene {i + 1} start: expected {exp_start!r}, got {row['Start Timecode']!r}"
        )
        assert row["End Timecode"] == exp_end, (
            f"[{backend}] Scene {i + 1} end: expected {exp_end!r}, got {row['End Timecode']!r}"
        )


@pytest.mark.parametrize("backend", ["pyav", "opencv"])