import json from pathlib import Path import numpy as np from services.sam3_engine import SAM3Engine class _Completed: def __init__(self, returncode=0, stdout="", stderr=""): self.returncode = returncode self.stdout = stdout self.stderr = stderr def _external_settings(monkeypatch, python_path: Path): python_path.write_text("#!/usr/bin/env python\n", encoding="utf-8") python_path.chmod(0o755) monkeypatch.setattr("services.sam3_engine.SAM3_PACKAGE_AVAILABLE", False) monkeypatch.setattr("services.sam3_engine.TORCH_AVAILABLE", False) monkeypatch.setattr("services.sam3_engine.settings.sam3_external_enabled", True) monkeypatch.setattr("services.sam3_engine.settings.sam3_external_python", str(python_path)) monkeypatch.setattr("services.sam3_engine.settings.sam3_timeout_seconds", 10) monkeypatch.setattr("services.sam3_engine.settings.sam3_status_cache_seconds", 30) monkeypatch.setattr("services.sam3_engine.settings.sam3_confidence_threshold", 0.4) def test_sam3_status_reports_external_runtime_ready(tmp_path, monkeypatch): _external_settings(monkeypatch, tmp_path / "python") def fake_run(args, **_kwargs): assert "--status" in args return _Completed(stdout=json.dumps({ "available": True, "package_available": True, "python_ok": True, "torch_ok": True, "cuda_available": True, "device": "cuda", "message": "ready", })) monkeypatch.setattr("services.sam3_engine.subprocess.run", fake_run) status = SAM3Engine().status() assert status["available"] is True assert status["external_available"] is True assert status["package_available"] is True assert status["python_ok"] is True assert status["message"] == "SAM 3 external runtime is ready; model will load in the helper process on inference." def test_sam3_predict_semantic_uses_external_worker(tmp_path, monkeypatch): _external_settings(monkeypatch, tmp_path / "python") calls = [] def fake_run(args, **_kwargs): calls.append(args) if "--status" in args: return _Completed(stdout=json.dumps({ "available": True, "package_available": True, "python_ok": True, "torch_ok": True, "cuda_available": True, "device": "cuda", "message": "ready", })) request_path = Path(args[-1]) request = json.loads(request_path.read_text(encoding="utf-8")) assert request["text"] == "vessel" assert request["confidence_threshold"] == 0.4 assert Path(request["image_path"]).exists() return _Completed(stdout=json.dumps({ "polygons": [[[0.1, 0.1], [0.9, 0.1], [0.9, 0.9]]], "scores": [0.91], })) monkeypatch.setattr("services.sam3_engine.subprocess.run", fake_run) polygons, scores = SAM3Engine().predict_semantic(np.zeros((8, 8, 3), dtype=np.uint8), " vessel ") assert polygons == [[[0.1, 0.1], [0.9, 0.1], [0.9, 0.9]]] assert scores == [0.91] assert any("--request" in args for args in calls) def test_sam3_predict_semantic_reports_external_errors(tmp_path, monkeypatch): _external_settings(monkeypatch, tmp_path / "python") def fake_run(args, **_kwargs): if "--status" in args: return _Completed(stdout=json.dumps({ "available": True, "package_available": True, "python_ok": True, "torch_ok": True, "cuda_available": True, "device": "cuda", "message": "ready", })) return _Completed(returncode=1, stderr=json.dumps({"error": "HF access denied"})) monkeypatch.setattr("services.sam3_engine.subprocess.run", fake_run) try: SAM3Engine().predict_semantic(np.zeros((8, 8, 3), dtype=np.uint8), "vessel") except RuntimeError as exc: assert "HF access denied" in str(exc) else: raise AssertionError("Expected SAM 3 external inference failure.")