import numpy as np from backend.data_types import DataField from backend.node_registry import get_node_info from tests.node_tests._shared import make_field def test_angle_measure(): from backend.nodes.angle_measure import AngleMeasure from backend.data_types import ImageData node = AngleMeasure() info = get_node_info("AngleMeasure") assert info["category"] == "Overlay" assert {entry["category"] for entry in info["menu_categories"]} == {"Overlay", "Measure"} required_inputs = AngleMeasure.INPUT_TYPES()["required"] optional_inputs = AngleMeasure.INPUT_TYPES().get("optional", {}) assert required_inputs["input"][1]["accepted_types"] == ["DATA_FIELD", "IMAGE"] assert required_inputs["color"][1]["default"] == "#ff9800" assert required_inputs["stroke_width"][1]["default"] == 1.35 assert optional_inputs["line_thickness"][1]["hidden"] is True assert optional_inputs["line_thickness_input"][1]["hidden"] is True field = make_field(data=np.zeros((32, 64), dtype=np.float64), xreal=4.0, yreal=2.0) output, table = node.process( field, color="#c62828", stroke_width=1.8, x1=0.2, y1=0.5, xm=0.5, ym=0.5, x2=0.5, y2=0.2, label_dx=0.0, label_dy=0.0, ) rows = {row["quantity"]: row for row in table} assert isinstance(output, DataField) assert output is not field assert len(output.overlays) == len(field.overlays) + 1 assert output.overlays[-1]["kind"] == "angle_measure" assert output.overlays[-1]["color"] == "#c62828" assert np.isclose(output.overlays[-1]["stroke_width"], 1.8) assert np.isclose(rows["Arm A length"]["value"], 1.2) assert np.isclose(rows["Arm B length"]["value"], 0.6) assert np.isclose(rows["Angle"]["value"], 90.0) assert rows["Angle"]["unit"] == "deg" assert rows["Vertex x"]["unit"] == field.si_unit_xy sanitized_output, _ = node.process( field, color="not-a-color", stroke_width=-0.7, x1=0.2, y1=0.5, xm=0.5, ym=0.5, x2=0.5, y2=0.2, label_dx=0.0, label_dy=0.0, ) assert sanitized_output.overlays[-1]["color"] == "#ff9800" assert np.isclose(sanitized_output.overlays[-1]["stroke_width"], 0.35) image = np.zeros((50, 100, 3), dtype=np.uint8) image_output, image_table = node.process( image, color="#ff9800", stroke_width=1.25, x1=0.25, y1=0.5, xm=0.5, ym=0.5, x2=0.5, y2=0.25, label_dx=0.0, label_dy=0.0, ) image_rows = {row["quantity"]: row for row in image_table} assert isinstance(image_output, ImageData) assert image_output.shape == image.shape assert np.count_nonzero(np.asarray(image_output)) > 0 assert np.isclose(image_rows["Arm A length"]["value"], 24.75) assert np.isclose(image_rows["Arm B length"]["value"], 12.25) assert np.isclose(image_rows["Angle"]["value"], 90.0) assert image_rows["Arm A length"]["unit"] == "px"