from pathlib import Path from fastapi.testclient import TestClient from backend.main import ROOT, app from scripts.generate_sample import make_frame import cv2 client = TestClient(app) def test_health_and_methods(): health = client.get("/api/health") assert health.status_code == 200 assert health.json()["status"] == "ok" methods = client.get("/api/methods") assert methods.status_code == 200 assert "fusion" in methods.json()["methods"] samples = client.get("/api/samples") assert samples.status_code == 200 assert "samples" in samples.json() if samples.json()["samples"]: sample = samples.json()["samples"][0] assert "version" in sample assert "?v=" in sample["url"] def test_segment_image(tmp_path: Path): image_path = tmp_path / "sample.png" cv2.imwrite(str(image_path), make_frame(8, 320, 220)) with image_path.open("rb") as handle: response = client.post( "/api/segment", files={"file": ("sample.png", handle, "image/png")}, data={"method": "fusion", "sensitivity": "0.68"}, ) assert response.status_code == 200 payload = response.json() assert payload["kind"] == "image" assert payload["frames"][0]["metrics"]["mask_pixels"] > 0 assert payload["frames"][0]["source_time"] == 0.0 assert payload["frames"][0]["result_time"] == 0.0 def test_segment_video_and_compare_frame(tmp_path: Path): video_path = tmp_path / "sample.mp4" writer = cv2.VideoWriter(str(video_path), cv2.VideoWriter_fourcc(*"mp4v"), 12.0, (320, 220)) for index in range(18): writer.write(make_frame(index, 320, 220)) writer.release() with video_path.open("rb") as handle: response = client.post( "/api/segment", files={"file": ("sample.mp4", handle, "video/mp4")}, data={"method": "fusion", "sensitivity": "0.58", "frame_stride": "6", "max_frames": "3"}, ) assert response.status_code == 200 payload = response.json() assert payload["kind"] == "video" assert payload["video_url"].endswith(".mp4") assert payload["source_fps"] > 0 assert payload["result_fps"] == payload["source_fps"] assert payload["result_duration"] == payload["duration"] assert len(payload["frames"]) == 3 first_frame = payload["frames"][0] assert first_frame["source_time"] == 0.0 assert first_frame["result_time"] == 0.0 assert first_frame["result_index"] == 0 second_frame = payload["frames"][1] assert second_frame["result_time"] == second_frame["source_time"] assert second_frame["result_index"] == second_frame["frame_index"] result_path = ROOT / payload["video_url"].lstrip("/") result_capture = cv2.VideoCapture(str(result_path)) assert result_capture.isOpened() result_frames = int(result_capture.get(cv2.CAP_PROP_FRAME_COUNT) or 0) result_fps = float(result_capture.get(cv2.CAP_PROP_FPS) or 0) result_capture.set(cv2.CAP_PROP_POS_FRAMES, 1) ok, carried_overlay = result_capture.read() result_capture.set(cv2.CAP_PROP_POS_FRAMES, second_frame["frame_index"]) ok_selected, selected_video_frame = result_capture.read() result_capture.release() assert result_frames == 18 assert abs((result_frames / result_fps) - payload["duration"]) < 0.25 assert ok yellow_pixels = ( (carried_overlay[:, :, 1] > 140) & (carried_overlay[:, :, 2] > 140) & (carried_overlay[:, :, 0] < 150) ).sum() assert yellow_pixels > 0 assert ok_selected selected_overlay = cv2.imread(str(ROOT / second_frame["overlay_url"].lstrip("/"))) assert selected_overlay is not None selected_delta = cv2.absdiff(selected_video_frame, selected_overlay).mean() assert selected_delta < 20.0 with video_path.open("rb") as handle: compare = client.post( "/api/compare-frame", files={"file": ("sample.mp4", handle, "video/mp4")}, data={"frame_index": str(payload["frames"][1]["frame_index"]), "sensitivity": "0.58"}, ) assert compare.status_code == 200 compare_payload = compare.json() assert compare_payload["kind"] == "compare" assert {frame["method"] for frame in compare_payload["frames"]} == { "hessian_ridge", "edge_morphology", "temporal_difference", "fusion", }