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tests(bec-figure): Comment all BECFigure tests as they will be removed

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appel_c
2025-03-22 16:49:13 +01:00
committed by wyzula-jan
parent 67032eaa95
commit 1ea225d2fd
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tests/end-2-end/test_bec_figure_rpc_e2e.py
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@ -1,242 +1,242 @@
import time # import time
import numpy as np # import numpy as np
import pytest # import pytest
from bec_lib.endpoints import MessageEndpoints # from bec_lib.endpoints import MessageEndpoints
from bec_widgets.cli.client import BECFigure, BECImageShow, BECMotorMap, BECWaveform # from bec_widgets.cli.client import BECFigure, BECImageShow, BECMotorMap, BECWaveform
from bec_widgets.cli.rpc.rpc_base import RPCReference # from bec_widgets.cli.rpc.rpc_base import RPCReference
from bec_widgets.tests.utils import check_remote_data_size # from bec_widgets.tests.utils import check_remote_data_size
# pylint: disable=protected-access # # pylint: disable=protected-access
@pytest.fixture # @pytest.fixture
def connected_figure(connected_client_gui_obj): # def connected_figure(connected_client_gui_obj):
gui = connected_client_gui_obj # gui = connected_client_gui_obj
dock = gui.window_list[0].new("dock") # dock = gui.window_list[0].new("dock")
fig = dock.new(name="fig", widget="BECFigure") # fig = dock.new(name="fig", widget="BECFigure")
return fig # return fig
def test_rpc_waveform1d_custom_curve(connected_figure): # def test_rpc_waveform1d_custom_curve(connected_figure):
fig = connected_figure # fig = connected_figure
ax = fig.plot() # ax = fig.plot()
curve = ax.plot(x=[1, 2, 3], y=[1, 2, 3]) # curve = ax.plot(x=[1, 2, 3], y=[1, 2, 3])
curve.set_color("red") # curve.set_color("red")
curve = ax.curves[0] # curve = ax.curves[0]
curve.set_color("blue") # curve.set_color("blue")
assert len(fig.widgets) == 1 # assert len(fig.widgets) == 1
assert len(fig.widgets[ax._rpc_id].curves) == 1 # assert len(fig.widgets[ax._rpc_id].curves) == 1
def test_rpc_plotting_shortcuts_init_configs(connected_figure, qtbot): # def test_rpc_plotting_shortcuts_init_configs(connected_figure, qtbot):
fig = connected_figure # fig = connected_figure
plt = fig.plot(x_name="samx", y_name="bpm4i") # plt = fig.plot(x_name="samx", y_name="bpm4i")
im = fig.image("eiger") # im = fig.image("eiger")
motor_map = fig.motor_map("samx", "samy") # motor_map = fig.motor_map("samx", "samy")
plt_z = fig.plot(x_name="samx", y_name="samy", z_name="bpm4i", new=True) # plt_z = fig.plot(x_name="samx", y_name="samy", z_name="bpm4i", new=True)
# Checking if classes are correctly initialised # # Checking if classes are correctly initialised
assert len(fig.widgets) == 4 # assert len(fig.widgets) == 4
assert plt.__class__.__name__ == "RPCReference" # assert plt.__class__.__name__ == "RPCReference"
assert plt.__class__ == RPCReference # assert plt.__class__ == RPCReference
assert plt._root._ipython_registry[plt._gui_id].__class__ == BECWaveform # assert plt._root._ipython_registry[plt._gui_id].__class__ == BECWaveform
assert im.__class__.__name__ == "RPCReference" # assert im.__class__.__name__ == "RPCReference"
assert im.__class__ == RPCReference # assert im.__class__ == RPCReference
assert im._root._ipython_registry[im._gui_id].__class__ == BECImageShow # assert im._root._ipython_registry[im._gui_id].__class__ == BECImageShow
assert motor_map.__class__.__name__ == "RPCReference" # assert motor_map.__class__.__name__ == "RPCReference"
assert motor_map.__class__ == RPCReference # assert motor_map.__class__ == RPCReference
assert motor_map._root._ipython_registry[motor_map._gui_id].__class__ == BECMotorMap # assert motor_map._root._ipython_registry[motor_map._gui_id].__class__ == BECMotorMap
# check if the correct devices are set # # check if the correct devices are set
# plot # # plot
assert plt._config_dict["curves"]["bpm4i-bpm4i"]["signals"] == { # assert plt._config_dict["curves"]["bpm4i-bpm4i"]["signals"] == {
"dap": None, # "dap": None,
"source": "scan_segment", # "source": "scan_segment",
"x": {"name": "samx", "entry": "samx", "unit": None, "modifier": None, "limits": None}, # "x": {"name": "samx", "entry": "samx", "unit": None, "modifier": None, "limits": None},
"y": {"name": "bpm4i", "entry": "bpm4i", "unit": None, "modifier": None, "limits": None}, # "y": {"name": "bpm4i", "entry": "bpm4i", "unit": None, "modifier": None, "limits": None},
"z": None, # "z": None,
} # }
# image # # image
assert im._config_dict["images"]["eiger"]["monitor"] == "eiger" # assert im._config_dict["images"]["eiger"]["monitor"] == "eiger"
# motor map # # motor map
assert motor_map._config_dict["signals"] == { # assert motor_map._config_dict["signals"] == {
"dap": None, # "dap": None,
"source": "device_readback", # "source": "device_readback",
"x": { # "x": {
"name": "samx", # "name": "samx",
"entry": "samx", # "entry": "samx",
"unit": None, # "unit": None,
"modifier": None, # "modifier": None,
"limits": [-50.0, 50.0], # "limits": [-50.0, 50.0],
}, # },
"y": { # "y": {
"name": "samy", # "name": "samy",
"entry": "samy", # "entry": "samy",
"unit": None, # "unit": None,
"modifier": None, # "modifier": None,
"limits": [-50.0, 50.0], # "limits": [-50.0, 50.0],
}, # },
"z": None, # "z": None,
} # }
# plot with z scatter # # plot with z scatter
assert plt_z._config_dict["curves"]["bpm4i-bpm4i"]["signals"] == { # assert plt_z._config_dict["curves"]["bpm4i-bpm4i"]["signals"] == {
"dap": None, # "dap": None,
"source": "scan_segment", # "source": "scan_segment",
"x": {"name": "samx", "entry": "samx", "unit": None, "modifier": None, "limits": None}, # "x": {"name": "samx", "entry": "samx", "unit": None, "modifier": None, "limits": None},
"y": {"name": "samy", "entry": "samy", "unit": None, "modifier": None, "limits": None}, # "y": {"name": "samy", "entry": "samy", "unit": None, "modifier": None, "limits": None},
"z": {"name": "bpm4i", "entry": "bpm4i", "unit": None, "modifier": None, "limits": None}, # "z": {"name": "bpm4i", "entry": "bpm4i", "unit": None, "modifier": None, "limits": None},
} # }
def test_rpc_waveform_scan(qtbot, connected_figure, bec_client_lib): # def test_rpc_waveform_scan(qtbot, connected_figure, bec_client_lib):
fig = connected_figure # fig = connected_figure
# add 3 different curves to track # # add 3 different curves to track
plt = fig.plot(x_name="samx", y_name="bpm4i") # plt = fig.plot(x_name="samx", y_name="bpm4i")
fig.plot(x_name="samx", y_name="bpm3a") # fig.plot(x_name="samx", y_name="bpm3a")
fig.plot(x_name="samx", y_name="bpm4d") # fig.plot(x_name="samx", y_name="bpm4d")
client = bec_client_lib # client = bec_client_lib
dev = client.device_manager.devices # dev = client.device_manager.devices
scans = client.scans # scans = client.scans
queue = client.queue # queue = client.queue
status = scans.line_scan(dev.samx, -5, 5, steps=10, exp_time=0.05, relative=False) # status = scans.line_scan(dev.samx, -5, 5, steps=10, exp_time=0.05, relative=False)
status.wait() # status.wait()
item = queue.scan_storage.storage[-1] # item = queue.scan_storage.storage[-1]
last_scan_data = item.live_data if hasattr(item, "live_data") else item.data # last_scan_data = item.live_data if hasattr(item, "live_data") else item.data
num_elements = 10 # num_elements = 10
for plot_name in ["bpm4i-bpm4i", "bpm3a-bpm3a", "bpm4d-bpm4d"]: # for plot_name in ["bpm4i-bpm4i", "bpm3a-bpm3a", "bpm4d-bpm4d"]:
qtbot.waitUntil(lambda: check_remote_data_size(plt, plot_name, num_elements)) # qtbot.waitUntil(lambda: check_remote_data_size(plt, plot_name, num_elements))
# get data from curves # # get data from curves
plt_data = plt.get_all_data() # plt_data = plt.get_all_data()
# check plotted data # # check plotted data
assert plt_data["bpm4i-bpm4i"]["x"] == last_scan_data["samx"]["samx"].val # assert plt_data["bpm4i-bpm4i"]["x"] == last_scan_data["samx"]["samx"].val
assert plt_data["bpm4i-bpm4i"]["y"] == last_scan_data["bpm4i"]["bpm4i"].val # assert plt_data["bpm4i-bpm4i"]["y"] == last_scan_data["bpm4i"]["bpm4i"].val
assert plt_data["bpm3a-bpm3a"]["x"] == last_scan_data["samx"]["samx"].val # assert plt_data["bpm3a-bpm3a"]["x"] == last_scan_data["samx"]["samx"].val
assert plt_data["bpm3a-bpm3a"]["y"] == last_scan_data["bpm3a"]["bpm3a"].val # assert plt_data["bpm3a-bpm3a"]["y"] == last_scan_data["bpm3a"]["bpm3a"].val
assert plt_data["bpm4d-bpm4d"]["x"] == last_scan_data["samx"]["samx"].val # assert plt_data["bpm4d-bpm4d"]["x"] == last_scan_data["samx"]["samx"].val
assert plt_data["bpm4d-bpm4d"]["y"] == last_scan_data["bpm4d"]["bpm4d"].val # assert plt_data["bpm4d-bpm4d"]["y"] == last_scan_data["bpm4d"]["bpm4d"].val
def test_rpc_image(connected_figure, bec_client_lib): # def test_rpc_image(connected_figure, bec_client_lib):
fig = connected_figure # fig = connected_figure
im = fig.image("eiger") # im = fig.image("eiger")
client = bec_client_lib # client = bec_client_lib
dev = client.device_manager.devices # dev = client.device_manager.devices
scans = client.scans # scans = client.scans
status = scans.line_scan(dev.samx, -5, 5, steps=10, exp_time=0.05, relative=False) # status = scans.line_scan(dev.samx, -5, 5, steps=10, exp_time=0.05, relative=False)
status.wait() # status.wait()
last_image_device = client.connector.get_last(MessageEndpoints.device_monitor_2d("eiger"))[ # last_image_device = client.connector.get_last(MessageEndpoints.device_monitor_2d("eiger"))[
"data" # "data"
].data # ].data
last_image_plot = im.images[0].get_data() # last_image_plot = im.images[0].get_data()
# check plotted data # # check plotted data
np.testing.assert_equal(last_image_device, last_image_plot) # np.testing.assert_equal(last_image_device, last_image_plot)
def test_rpc_motor_map(connected_figure, bec_client_lib): # def test_rpc_motor_map(connected_figure, bec_client_lib):
fig = connected_figure # fig = connected_figure
motor_map = fig.motor_map("samx", "samy") # motor_map = fig.motor_map("samx", "samy")
client = bec_client_lib # client = bec_client_lib
dev = client.device_manager.devices # dev = client.device_manager.devices
scans = client.scans # scans = client.scans
initial_pos_x = dev.samx.read()["samx"]["value"] # initial_pos_x = dev.samx.read()["samx"]["value"]
initial_pos_y = dev.samy.read()["samy"]["value"] # initial_pos_y = dev.samy.read()["samy"]["value"]
status = scans.mv(dev.samx, 1, dev.samy, 2, relative=True) # status = scans.mv(dev.samx, 1, dev.samy, 2, relative=True)
status.wait() # status.wait()
final_pos_x = dev.samx.read()["samx"]["value"] # final_pos_x = dev.samx.read()["samx"]["value"]
final_pos_y = dev.samy.read()["samy"]["value"] # final_pos_y = dev.samy.read()["samy"]["value"]
# check plotted data # # check plotted data
motor_map_data = motor_map.get_data() # motor_map_data = motor_map.get_data()
np.testing.assert_equal( # np.testing.assert_equal(
[motor_map_data["x"][0], motor_map_data["y"][0]], [initial_pos_x, initial_pos_y] # [motor_map_data["x"][0], motor_map_data["y"][0]], [initial_pos_x, initial_pos_y]
) # )
np.testing.assert_equal( # np.testing.assert_equal(
[motor_map_data["x"][-1], motor_map_data["y"][-1]], [final_pos_x, final_pos_y] # [motor_map_data["x"][-1], motor_map_data["y"][-1]], [final_pos_x, final_pos_y]
) # )
def test_dap_rpc(connected_figure, bec_client_lib, qtbot): # def test_dap_rpc(connected_figure, bec_client_lib, qtbot):
fig = connected_figure # fig = connected_figure
plt = fig.plot(x_name="samx", y_name="bpm4i", dap="GaussianModel") # plt = fig.plot(x_name="samx", y_name="bpm4i", dap="GaussianModel")
client = bec_client_lib # client = bec_client_lib
dev = client.device_manager.devices # dev = client.device_manager.devices
scans = client.scans # scans = client.scans
dev.bpm4i.sim.select_model("GaussianModel") # dev.bpm4i.sim.select_model("GaussianModel")
params = dev.bpm4i.sim.params # params = dev.bpm4i.sim.params
params.update( # params.update(
{"noise": "uniform", "noise_multiplier": 10, "center": 5, "sigma": 1, "amplitude": 200} # {"noise": "uniform", "noise_multiplier": 10, "center": 5, "sigma": 1, "amplitude": 200}
) # )
dev.bpm4i.sim.params = params # dev.bpm4i.sim.params = params
time.sleep(1) # time.sleep(1)
res = scans.line_scan(dev.samx, 0, 8, steps=50, relative=False) # res = scans.line_scan(dev.samx, 0, 8, steps=50, relative=False)
res.wait() # res.wait()
# especially on slow machines, the fit might not be done yet # # especially on slow machines, the fit might not be done yet
# so we wait until the fit reaches the expected value # # so we wait until the fit reaches the expected value
def wait_for_fit(): # def wait_for_fit():
dap_curve = plt.get_curve("bpm4i-bpm4i-GaussianModel") # dap_curve = plt.get_curve("bpm4i-bpm4i-GaussianModel")
fit_params = dap_curve.dap_params # fit_params = dap_curve.dap_params
if fit_params is None: # if fit_params is None:
return False # return False
print(fit_params) # print(fit_params)
return np.isclose(fit_params["center"], 5, atol=0.5) # return np.isclose(fit_params["center"], 5, atol=0.5)
qtbot.waitUntil(wait_for_fit, timeout=10000) # qtbot.waitUntil(wait_for_fit, timeout=10000)
# Repeat fit after adding a region of interest # # Repeat fit after adding a region of interest
plt.select_roi(region=(3, 7)) # plt.select_roi(region=(3, 7))
res = scans.line_scan(dev.samx, 0, 8, steps=50, relative=False) # res = scans.line_scan(dev.samx, 0, 8, steps=50, relative=False)
res.wait() # res.wait()
qtbot.waitUntil(wait_for_fit, timeout=10000) # qtbot.waitUntil(wait_for_fit, timeout=10000)
def test_removing_subplots(connected_figure, bec_client_lib): # def test_removing_subplots(connected_figure, bec_client_lib):
fig = connected_figure # fig = connected_figure
plt = fig.plot(x_name="samx", y_name="bpm4i", dap="GaussianModel") # plt = fig.plot(x_name="samx", y_name="bpm4i", dap="GaussianModel")
# Registry can't handle multiple subplots on one widget, BECFigure will be deprecated though # # Registry can't handle multiple subplots on one widget, BECFigure will be deprecated though
# im = fig.image(monitor="eiger") # # im = fig.image(monitor="eiger")
# mm = fig.motor_map(motor_x="samx", motor_y="samy") # # mm = fig.motor_map(motor_x="samx", motor_y="samy")
assert len(fig.widget_list) == 1 # assert len(fig.widget_list) == 1
# removing curves # # removing curves
assert len(plt.curves) == 2 # assert len(plt.curves) == 2
plt.curves[0].remove() # plt.curves[0].remove()
assert len(plt.curves) == 1 # assert len(plt.curves) == 1
plt.remove_curve("bpm4i-bpm4i") # plt.remove_curve("bpm4i-bpm4i")
assert len(plt.curves) == 0 # assert len(plt.curves) == 0
# removing all subplots from figure # # removing all subplots from figure
plt.remove() # plt.remove()
# im.remove() # # im.remove()
# mm.remove() # # mm.remove()
assert len(fig.widget_list) == 0 # assert len(fig.widget_list) == 0