Upgrade async GPU analysis and workbench UX

This commit is contained in:
Jens
2026-08-23 21:50:11 +02:00
parent 4040cbca7b
commit b996986d20
59 changed files with 3999 additions and 274 deletions
@@ -0,0 +1,64 @@
from __future__ import annotations
from types import SimpleNamespace
import pytest
from app.core.config import Settings
from app.core.errors import AppError
from app.services.segmentation_adapter import YoloSegmentationAdapter
def _settings(*, require_cuda: bool, device: str) -> Settings:
return Settings(
_env_file=None,
YOLO_REQUIRE_CUDA=require_cuda,
YOLO_DEVICE=device,
)
def test_segmentation_runtime_allows_cpu_only_when_cuda_is_not_required() -> None:
adapter = YoloSegmentationAdapter(_settings(require_cuda=False, device="cpu"))
adapter.validate_runtime()
def test_segmentation_runtime_rejects_missing_cuda(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setitem(
__import__("sys").modules,
"torch",
SimpleNamespace(cuda=SimpleNamespace(is_available=lambda: False)),
)
adapter = YoloSegmentationAdapter(_settings(require_cuda=True, device="cuda:0"))
with pytest.raises(AppError) as exc_info:
adapter.validate_runtime()
assert exc_info.value.code == "SEGMENTATION_ACCELERATOR_UNAVAILABLE"
def test_segmentation_runtime_rejects_cpu_device_when_cuda_is_required(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setitem(
__import__("sys").modules,
"torch",
SimpleNamespace(cuda=SimpleNamespace(is_available=lambda: True)),
)
adapter = YoloSegmentationAdapter(_settings(require_cuda=True, device="cpu"))
with pytest.raises(AppError) as exc_info:
adapter.validate_runtime()
assert exc_info.value.code == "SEGMENTATION_ACCELERATOR_MISCONFIGURED"
def test_segmentation_runtime_accepts_configured_cuda(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setitem(
__import__("sys").modules,
"torch",
SimpleNamespace(cuda=SimpleNamespace(is_available=lambda: True)),
)
adapter = YoloSegmentationAdapter(_settings(require_cuda=True, device="cuda:0"))
adapter.validate_runtime()