def test_pipeline_saving(self, qtbot, tmp_path, image, algorithm_parameters, mask_property):
settings = PartSettings(tmp_path)
settings.image = image
settings.last_executed_algorithm = algorithm_parameters["algorithm_name"]
algorithm = analysis_algorithm_dict[algorithm_parameters["algorithm_name"]]()
algorithm.set_image(settings.image)
algorithm.set_parameters(**algorithm_parameters["values"])
result = algorithm.calculation_run(lambda x, y: None)
settings.set_segmentation_result(result)
project_info = settings.get_project_info()
mask = calculate_mask_from_project(mask_property, settings.get_project_info())
settings.add_history_element(
create_history_element_from_project(
project_info,
mask_property,
)
)
settings.mask = mask
calculate_mask_from_project(mask_property, settings.get_project_info())
algorithm_parameters["values"]["channel"] = 1
algorithm.set_parameters(**algorithm_parameters["values"])
algorithm.set_mask(settings.mask)
result2 = algorithm.calculation_run(lambda x, y: None)
assert np.max(result2.roi) == 2
settings.set_segmentation_result(result2)
project_info = settings.get_project_info()
SaveProject.save(tmp_path / "project.tgz", project_info)
assert os.path.exists(tmp_path / "project.tgz")
loaded = LoadProject.load([tmp_path / "project.tgz"])
assert np.all(loaded.roi == result2.roi)
assert len(loaded.history) == 1
def next_mask(self):
project_info: ProjectTuple = self.settings.get_project_info()
mask_property = self.mask_widget.get_mask_property()
self.settings.set("mask_manager.mask_property", mask_property)
mask = calculate_mask_from_project(mask_description=mask_property, project=project_info)
self.settings.add_history_element(create_history_element_from_project(project_info, mask_property,))
if self.settings.history_redo_size():
history: HistoryElement = self.settings.history_next_element()
self.settings.set("current_algorithm", history.segmentation_parameters["algorithm_name"])
self.settings.set(
f"algorithm.{history.segmentation_parameters['algorithm_name']}",
history.segmentation_parameters["values"],
)
self.settings.mask = mask
self.close()