import numpy as np
from backend.data_types import DataField


def test_crop_resize_field():
    from backend.nodes.crop_resize import CropResizeField
    node = CropResizeField()

    data = np.arange(32, dtype=np.float64).reshape(4, 8)
    field = DataField(
        data=data,
        xreal=8.0,
        yreal=4.0,
        xoff=10.0,
        yoff=20.0,
        si_unit_xy="nm",
        si_unit_z="nm",
        overlays=[{"kind": "markup", "shapes": [{"kind": "line", "x1": 0.1, "y1": 0.1, "x2": 0.9, "y2": 0.9, "width": 2, "color": "#ffffff"}]}],
    )

    overlays = []
    CropResizeField._broadcast_overlay_fn = lambda nid, data: overlays.append(data)
    CropResizeField._current_node_id = "test"

    cropped, = node.process(field, x1=0.25, y1=0.25, x2=0.75, y2=1.0, target_width=0, target_height=0, interpolation="bilinear")
    assert cropped.data.shape == (3, 4)
    assert np.array_equal(cropped.data, data[1:4, 2:6])
    assert cropped.xreal == 4.0
    assert cropped.yreal == 3.0
    assert cropped.xoff == 12.0
    assert cropped.yoff == 21.0
    assert cropped.si_unit_xy == field.si_unit_xy
    assert cropped.si_unit_z == field.si_unit_z
    assert cropped.overlays == []
    assert len(overlays) == 1
    assert overlays[0]["kind"] == "crop_box"
    assert overlays[0]["image"].startswith("data:image/png;base64,")
    assert overlays[0]["a_locked"] is False
    assert overlays[0]["b_locked"] is False

    resized, = node.process(field, x1=0.0, y1=0.0, x2=1.0, y2=1.0, target_width=8, target_height=0, interpolation="bilinear", corner_a=(0.25, 0.25), corner_b=(0.75, 1.0))
    assert resized.data.shape == (6, 8)
    assert resized.xreal == cropped.xreal
    assert resized.yreal == cropped.yreal
    assert resized.xoff == cropped.xoff
    assert resized.yoff == cropped.yoff
    assert resized.domain == field.domain
    assert overlays[-1]["a_locked"] is True
    assert overlays[-1]["b_locked"] is True

    reversed_crop, = node.process(field, x1=0.75, y1=1.0, x2=0.25, y2=0.25, target_width=0, target_height=0, interpolation="nearest")
    assert np.array_equal(reversed_crop.data, cropped.data)

    try:
        node.process(field, x1=0.9, y1=0.0, x2=0.9, y2=1.0, target_width=0, target_height=0, interpolation="nearest")
        raise AssertionError("Expected invalid crop bounds to raise ValueError")
    except ValueError:
        pass

    CropResizeField._broadcast_overlay_fn = None
