Source code for ewoksndreg.tests.workflow_tests.test_reg2d_choice

from typing import Dict

try:
    from importlib.resources import files as resource_files
except ImportError:
    from importlib_resources import files as resource_files

from ewokscore import execute_graph
from ewoksorange.gui.workflows.owscheme import ows_to_ewoks




def test_reg2d_choice_without_qt():
    from orangecontrib.ewoksndreg import tutorials

    filename = resource_files(tutorials) / "reg2d_choice.ows"
    assert_reg2d_choice_without_qt(filename)





def test_reg2d_choice_with_qt(ewoks_orange_canvas):
    from orangecontrib.ewoksndreg import tutorials

    filename = resource_files(tutorials) / "reg2d_choice.ows"
    assert_reg2d_choice_with_qt(ewoks_orange_canvas, filename)





def assert_reg2d_choice_without_qt(filename):
    """Execute workflow after converting it to an ewoks workflow"""
    graph = ows_to_ewoks(filename)
    outputs = execute_graph(graph, outputs=[{"all": True}], merge_outputs=False)
    expected = get_expected_outputs()
    label_to_id = {
        attrs["label"]: node_id for node_id, attrs in graph.graph.nodes.items()
    }
    outputs = {k: set(v) for k, v in outputs.items()}
    expected = {label_to_id[k]: v for k, v in expected.items()}
    assert outputs == expected





def assert_reg2d_choice_with_qt(ewoks_orange_canvas, filename):
    """Execute workflow using the Qt widgets and signals"""
    ewoks_orange_canvas.load_graph(str(filename))
    ewoks_orange_canvas.start_workflow()
    ewoks_orange_canvas.wait_widgets(timeout=60)
    outputs = dict(ewoks_orange_canvas.iter_output_values())
    outputs = {k: set(v) for k, v in outputs.items()}
    assert outputs == get_expected_outputs()





def get_expected_outputs() -> Dict[str, dict]:
    return {
        "2D Example Stacks": {"image_stacks", "transformations"},
        "Pre-Registration Evaluation": {
            "image_stacks",
            "ranked_stack_names",
            "reference_stack",
            "output_configuration",
        },
        "2D Intensity-Based Registration": {
            "image_stacks",
            "transformations",
            "reference_stack",
            "output_configuration",
        },
        "Post-Registration Evaluation": {
            "image_stacks",
            "transformations",
            "ranked_stack_names",
            "reference_stack",
            "output_configuration",
        },
        "Align": {"image_stacks", "output_configuration"},
    }