nan
f48bbb3d05
- Implement tests for image layer functionality including alpha curve and depth layer behavior. - Create tests for image plane evaluation and modifier input handling. - Add tests to verify the saved asset inventory and its persistence. - Introduce tests for the documentation command to ensure correct project version deployment. - Validate the extension manifest structure and required permissions. - Develop tests for the packaging process, ensuring correct platform handling and dependency management. - Enhance image depth plane group functionality with new split threshold input and surface processing.
131 lines
4.2 KiB
Python
131 lines
4.2 KiB
Python
from types import SimpleNamespace
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from unittest.mock import patch
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from tests.support.blender import BlenderTestCase
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class ImageMenuTest(BlenderTestCase):
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def test_image_menu_keeps_ai_features_clickable_and_offers_models(self):
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calls = []
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labels = {}
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class Layout:
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operator_context = ""
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enabled = True
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def operator(self, identifier, **options):
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calls.append((identifier, self.enabled))
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labels[identifier] = options.get("text")
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return SimpleNamespace()
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def separator(self):
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calls.append(("separator", self.enabled))
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menu = self.anyimage.AnyImageImageMenu()
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menu.layout = Layout()
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with patch(
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"anyimage.properties.ai_status",
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return_value={
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"environment_ready": True,
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"missing_models": ("BEN2_BASE",),
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"ready": False,
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},
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):
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menu.draw(
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SimpleNamespace(
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object=SimpleNamespace(
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type="EMPTY",
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empty_display_type="IMAGE",
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data=SimpleNamespace(size=(640, 480)),
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)
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)
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)
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self.assertEqual(
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calls,
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[
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("anyimage.convert_to_plane", True),
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("anyimage.convert_to_depth_plane", True),
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("anyimage.convert_to_relief_plane", True),
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("separator", True),
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("anyimage.remove_image_background", True),
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("anyimage.upscale_image", True),
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("separator", True),
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("anyimage.setup_ai_environment", True),
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],
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)
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self.assertEqual(
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labels["anyimage.setup_ai_environment"],
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"Download Required Models…",
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)
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self.assertEqual(
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labels["anyimage.upscale_image"],
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"Upscale (1280 × 960)",
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)
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def test_image_menu_opens_environment_settings_when_ai_is_ready(self):
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calls = []
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class Layout:
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operator_context = ""
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enabled = True
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def operator(self, identifier, **_options):
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calls.append((identifier, self.enabled))
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return SimpleNamespace()
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def separator(self):
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calls.append(("separator", self.enabled))
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menu = self.anyimage.AnyImageImageMenu()
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menu.layout = Layout()
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with patch(
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"anyimage.properties.ai_status",
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return_value={
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"environment_ready": True,
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"missing_models": (),
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"ready": True,
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},
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):
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menu.draw(None)
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self.assertIn(("anyimage.open_ai_environment_settings", True), calls)
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self.assertNotIn(("anyimage.setup_ai_environment", True), calls)
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def test_image_operators_stay_clickable_until_server_is_busy(self):
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context = SimpleNamespace(
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object=SimpleNamespace(data=SimpleNamespace()),
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)
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operators = (
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(self.convert_to_plane, self.convert_to_plane.ConvertToDepthPlane),
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(self.convert_to_plane, self.convert_to_plane.ConvertToReliefPlane),
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(self.remove_background, self.remove_background.RemoveImageBackground),
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)
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for busy, expected in ((False, True), (True, False)):
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with (
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self.subTest(busy=busy),
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patch.object(
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self.anyimage.runtime,
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"server_busy",
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return_value=busy,
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),
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):
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for module, operator in operators:
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with (
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self.subTest(operator=operator.__name__),
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patch.object(
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module,
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"is_image_empty",
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return_value=True,
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),
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patch.object(
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module,
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"video_total_frames",
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return_value=1,
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),
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):
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self.assertEqual(operator.poll(context), expected)
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