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64 lines
2.7 KiB
Python
64 lines
2.7 KiB
Python
# pylint: disable=missing-function-docstring, missing-module-docstring, unused-import
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from unittest import mock
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import numpy as np
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import pytest
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from bec_lib import messages
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from qtpy.QtGui import QFontInfo
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from bec_widgets.widgets.figure import BECFigure
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from .client_mocks import mocked_client
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from .conftest import create_widget
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@pytest.fixture
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def bec_image_show(bec_figure):
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yield bec_figure.image("eiger")
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def test_on_image_update(qtbot, mocked_client):
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bec_image_show = create_widget(qtbot, BECFigure, client=mocked_client).image("eiger")
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data = np.random.rand(100, 100)
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msg = messages.DeviceMonitor2DMessage(device="eiger", data=data, metadata={"scan_id": "12345"})
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bec_image_show.on_image_update(msg.content, msg.metadata)
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img = bec_image_show.images[0]
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assert np.array_equal(img.get_data(), data)
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def test_autorange_on_image_update(qtbot, mocked_client):
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bec_image_show = create_widget(qtbot, BECFigure, client=mocked_client).image("eiger")
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# Check if autorange mode "mean" works, should be default
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data = np.random.rand(100, 100)
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msg = messages.DeviceMonitor2DMessage(device="eiger", data=data, metadata={"scan_id": "12345"})
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bec_image_show.on_image_update(msg.content, msg.metadata)
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img = bec_image_show.images[0]
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assert np.array_equal(img.get_data(), data)
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vmin = max(np.mean(data) - 2 * np.std(data), 0)
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vmax = np.mean(data) + 2 * np.std(data)
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assert np.isclose(img.color_bar.getLevels(), (vmin, vmax), rtol=(1e-5, 1e-5)).all()
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# Test general update with autorange True, mode "max"
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bec_image_show.set_autorange_mode("max")
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bec_image_show.on_image_update(msg.content, msg.metadata)
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img = bec_image_show.images[0]
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vmin = np.min(data)
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vmax = np.max(data)
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assert np.array_equal(img.get_data(), data)
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assert np.isclose(img.color_bar.getLevels(), (vmin, vmax), rtol=(1e-5, 1e-5)).all()
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# Change the input data, and switch to autorange False, colormap levels should stay untouched
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data *= 100
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msg = messages.DeviceMonitor2DMessage(device="eiger", data=data, metadata={"scan_id": "12345"})
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bec_image_show.set_autorange(False)
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bec_image_show.on_image_update(msg.content, msg.metadata)
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img = bec_image_show.images[0]
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assert np.array_equal(img.get_data(), data)
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assert np.isclose(img.color_bar.getLevels(), (vmin, vmax), rtol=(1e-3, 1e-3)).all()
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# Reactivate autorange, should now scale the new data
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bec_image_show.set_autorange(True)
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bec_image_show.set_autorange_mode("mean")
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bec_image_show.on_image_update(msg.content, msg.metadata)
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img = bec_image_show.images[0]
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vmin = max(np.mean(data) - 2 * np.std(data), 0)
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vmax = np.mean(data) + 2 * np.std(data)
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assert np.isclose(img.color_bar.getLevels(), (vmin, vmax), rtol=(1e-5, 1e-5)).all()
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