121 lines
3.8 KiB
Python
121 lines
3.8 KiB
Python
# SimpleSyrup - workflow-focused ComfyUI extensions for image generation
|
|
# Copyright (C) 2026 Artificial Sweetener and contributors
|
|
# SPDX-License-Identifier: AGPL-3.0-or-later
|
|
|
|
"""Tests for the SAM Model Loader node declaration."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from typing import Any
|
|
|
|
import pytest
|
|
|
|
from simple_syrup.nodes.sam_model_loader import SAMModelLoader
|
|
from simple_syrup.runtime.model_choices import NO_LOCAL_SAM_MODELS
|
|
|
|
|
|
def test_sam_model_loader_contract() -> None:
|
|
"""SAM loader exposes the conventional SAM_MODEL socket."""
|
|
|
|
assert SAMModelLoader.RETURN_TYPES == ("SAM_MODEL",)
|
|
assert SAMModelLoader.RETURN_NAMES == ("sam_model",)
|
|
assert SAMModelLoader.FUNCTION == "load_model"
|
|
assert SAMModelLoader.CATEGORY == "SimpleSyrup/Masking"
|
|
|
|
|
|
def test_sam_model_loader_declares_expected_inputs() -> None:
|
|
"""SAM loader inputs are deterministic and loader-owned."""
|
|
|
|
input_types: dict[str, dict[str, tuple[Any, ...]]] = SAMModelLoader.INPUT_TYPES()
|
|
required = input_types["required"]
|
|
|
|
assert set(required) == {"sam_model"}
|
|
assert "sam_vit_b (375MB)" in required["sam_model"][0]
|
|
assert "FastSAM-s (23MB)" in required["sam_model"][0]
|
|
|
|
|
|
def test_sam_model_loader_uses_settings_aware_choices() -> None:
|
|
"""SAM loader dropdown choices come from the model choice service."""
|
|
|
|
class FakeChoices:
|
|
"""Choice service double for INPUT_TYPES."""
|
|
|
|
def sam_choices(self) -> list[str]:
|
|
"""Return local-only choices."""
|
|
|
|
return ["sam_vit_h (2.56GB)"]
|
|
|
|
original = SAMModelLoader._choices
|
|
SAMModelLoader._choices = FakeChoices() # type: ignore[assignment]
|
|
try:
|
|
required = SAMModelLoader.INPUT_TYPES()["required"]
|
|
finally:
|
|
SAMModelLoader._choices = original
|
|
|
|
assert required["sam_model"][0] == ["sam_vit_h (2.56GB)"]
|
|
assert required["sam_model"][1]["default"] == "sam_vit_h (2.56GB)"
|
|
|
|
|
|
def test_sam_model_loader_delegates_to_service() -> None:
|
|
"""Node execution delegates to the loader service."""
|
|
|
|
expected = object()
|
|
|
|
class FakeService:
|
|
"""Service double for node delegation."""
|
|
|
|
def load_model(self, **kwargs: object) -> object:
|
|
"""Return a fixed model object."""
|
|
|
|
return expected
|
|
|
|
node = SAMModelLoader()
|
|
original = SAMModelLoader._service
|
|
SAMModelLoader._service = FakeService() # type: ignore[assignment]
|
|
try:
|
|
result = node.load_model(
|
|
sam_model="sam_vit_b (375MB)",
|
|
)
|
|
finally:
|
|
SAMModelLoader._service = original
|
|
|
|
assert result == (expected,)
|
|
|
|
|
|
def test_sam_model_loader_rejects_sentinel_selection() -> None:
|
|
"""SAM loader rejects no-local-model sentinel selections."""
|
|
|
|
node = SAMModelLoader()
|
|
|
|
with pytest.raises(ValueError, match="No local SAM models are available"):
|
|
node.load_model(sam_model=NO_LOCAL_SAM_MODELS)
|
|
|
|
|
|
def test_sam_model_loader_always_allows_downloads_for_selected_models() -> None:
|
|
"""Selected downloadable models are resolved with internal download enabled."""
|
|
|
|
class FakeService:
|
|
"""Service double that records node download policy."""
|
|
|
|
def __init__(self) -> None:
|
|
"""Create a recording service double."""
|
|
|
|
self.kwargs: dict[str, object] | None = None
|
|
|
|
def load_model(self, **kwargs: object) -> object:
|
|
"""Record call arguments and return a fixed model object."""
|
|
|
|
self.kwargs = kwargs
|
|
return object()
|
|
|
|
fake_service = FakeService()
|
|
original = SAMModelLoader._service
|
|
SAMModelLoader._service = fake_service # type: ignore[assignment]
|
|
try:
|
|
SAMModelLoader().load_model(sam_model="sam_vit_b (375MB)")
|
|
finally:
|
|
SAMModelLoader._service = original
|
|
|
|
assert fake_service.kwargs is not None
|
|
assert fake_service.kwargs["auto_download"] is True
|