From 03f623920a045fb4a352b341ce84174e344bae3a Mon Sep 17 00:00:00 2001
From: AnonymDevOSS <rafel.bennasar+github@proton.me>
Date: Tue, 28 Oct 2025 14:05:52 +0100
Subject: [PATCH] feat: tests for add threaded I/O pipeline for video
 processing

---
 test/utils/test_process_video.py | 95 ++++++++++++++++++++++++++++++++
 1 file changed, 95 insertions(+)
 create mode 100644 test/utils/test_process_video.py

diff --git a/test/utils/test_process_video.py b/test/utils/test_process_video.py
new file mode 100644
index 00000000..2c3c68a9
--- /dev/null
+++ b/test/utils/test_process_video.py
@@ -0,0 +1,95 @@
+from pathlib import Path
+
+import cv2
+import numpy as np
+import pytest
+
+import supervision as sv
+
+
+def make_video(
+    path: Path, w: int = 160, h: int = 96, fps: int = 20, frames: int = 24
+) -> None:
+    """Create a small synthetic test video with predictable frame-colors."""
+    fourcc = cv2.VideoWriter_fourcc(*"mp4v")
+    writer = cv2.VideoWriter(str(path), fourcc, fps, (w, h))
+    assert writer.isOpened(), "Failed to open VideoWriter"
+    for i in range(frames):
+        v = (i * 11) % 250
+        frame = np.full((h, w, 3), (v, 255 - v, (2 * v) % 255), np.uint8)
+        writer.write(frame)
+    writer.release()
+
+
+def read_frames(path: Path) -> list[np.ndarray]:
+    """Read all frames from a video into memory."""
+    cap = cv2.VideoCapture(str(path))
+    assert cap.isOpened(), f"Cannot open video: {path}"
+    out = []
+    while True:
+        ok, frame = cap.read()
+        if not ok:
+            break
+        out.append(frame)
+    cap.release()
+    return out
+
+
+def frames_equal(a: np.ndarray, b: np.ndarray, max_abs_tol: int = 0) -> bool:
+    """Return True if frames are the same within acertain tolerance."""
+    if a.shape != b.shape:
+        return False
+    diff = np.abs(a.astype(np.int16) - b.astype(np.int16))
+    return diff.max() <= max_abs_tol
+
+
+def callback_noop(frame: np.ndarray, idx: int) -> np.ndarray:
+    """No-op callback: validates pure pipeline correctness."""
+    return frame
+
+
+def callbackb_opencv(frame: np.ndarray, idx: int) -> np.ndarray:
+    """
+    Simulations some cv2 task...
+    """
+    g = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    return cv2.cvtColor(g, cv2.COLOR_GRAY2BGR)
+
+
+@pytest.mark.parametrize(
+    "callback", [callback_noop, callbackb_opencv], ids=["identity", "opencv"]
+)
+def test_process_video_vs_threads_same_output(callback, tmp_path: Path):
+    """
+    Ensure that process_video() and process_video_threads() produce identical
+    results for the same synthetic source video and callback.
+    """
+    name = callback.__name__
+    src = tmp_path / f"src_{name}.mp4"
+    dst_single = tmp_path / f"out_single_{name}.mp4"
+    dst_threads = tmp_path / f"out_threads_{name}.mp4"
+
+    make_video(src, frames=24)
+
+    sv.utils.video.process_video(
+        source_path=str(src),
+        target_path=str(dst_single),
+        callback=callback,
+        show_progress=False,
+    )
+    sv.utils.video.process_video_threads(
+        source_path=str(src),
+        target_path=str(dst_threads),
+        callback=callback,
+        prefetch=4,
+        writer_buffer=4,
+        show_progress=False,
+    )
+
+    frames_single = read_frames(dst_single)
+    frames_threads = read_frames(dst_threads)
+
+    assert len(frames_single) == len(frames_threads) != 0, "Frame count mismatch."
+
+    for i, (fs, ft) in enumerate(zip(frames_single, frames_threads)):
+        assert frames_equal(fs, ft), f"Frame {i} is different."