Merge pull request #23 from nqrduck/development

Development

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Changelog
 
+## Version 0.0.12  (27-05-2024)
+
+- Implemented loading and saving of settings and default settings (`6496ec6824da33fa41a38e26fdcac9a03ceb51fb`)
+
+- Added fitting of measurement data (`d43639c2f9796d5055dd01bd2f36bae43877bfe8`)
+
 ## Version 0.0.11 (20-05-2024)
 
 - Measurements are now run in a  separate worker thread to prevent the GUI from freezing (`27865aa6d44158e74c0e537be8407c12b4e3725b`)

pyproject.toml

@@ -7,7 +7,7 @@ allow-direct-references = true
 
 [project]
 name = "nqrduck-spectrometer"
-version = "0.0.11"
+version = "0.0.12"
 authors = [
   { name="jupfi", email="support@nqruck.cool" },
 ]

src/nqrduck_spectrometer/base_spectrometer_controller.py

@@ -1,7 +1,10 @@
 """Base class for all spectrometer controllers."""
 
+import logging
+import ast
 from nqrduck.module.module_controller import ModuleController
 
+logger = logging.getLogger(__name__)
 
 class BaseSpectrometerController(ModuleController):
     """The base class for all spectrometer controllers."""
@@ -10,6 +13,52 @@ class BaseSpectrometerController(ModuleController):
         """Initializes the spectrometer controller."""
         super().__init__(module)
 
+    def on_loading(self):
+        """Called when the module is loading."""
+        logger.debug("Loading spectrometer controller")
+        self.module.model.load_default_settings()
+
+    def save_settings(self, path: str) -> None:
+        """Saves the settings of the spectrometer."""
+        # We get the different settings objects from the model
+        settings = self.module.model.settings
+
+        json = {}
+        json["name"] = self.module.model.name
+
+        for category in settings.keys():
+            for setting in settings[category]:
+                json[setting.name] = setting.value
+
+        with open(path, "w") as f:
+            f.write(str(json))
+
+    def load_settings(self, path: str) -> None:
+        """Loads the settings of the spectrometer."""
+        with open(path) as f:
+            json = f.read()
+
+        # string to dict
+        json = ast.literal_eval(json)
+
+        module_name = self.module.model.name
+        json_name = json["name"]
+
+        # For some reason the notification is shown twice
+        if module_name != json_name:
+            message = f"Module: {module_name} not compatible with module specified in settings file: {json_name}. Did you select the correct settings file?"
+            self.module.nqrduck_signal.emit("notification", ["Error", message])
+            return
+
+        settings = self.module.model.settings
+        for category in settings.keys():
+            for setting in settings[category]:
+                if setting.name in json:
+                    setting.value = json[setting.name]
+                else:
+                    message = f"Setting {setting.name} not found in settings file. A change in settings might have broken compatibility."
+                    self.module.nqrduck_signal.emit("notification", ["Error", message])
+
     def start_measurement(self):
         """Starts the measurement.
 

src/nqrduck_spectrometer/base_spectrometer_model.py

@@ -2,6 +2,7 @@
 
 import logging
 from collections import OrderedDict
+from PyQt6.QtCore import QSettings
 from PyQt6.QtGui import QPixmap
 from nqrduck.module.module_model import ModuleModel
 from .settings import Setting
@@ -22,6 +23,8 @@ class BaseSpectrometerModel(ModuleModel):
         pulse_parameter_options (OrderedDict) : The pulse parameter options of the spectrometer
     """
 
+    SETTING_FILE_EXTENSION = "setduck"
+
     settings: OrderedDict
     pulse_parameter_options: OrderedDict
 
@@ -99,6 +102,29 @@ class BaseSpectrometerModel(ModuleModel):
         super().__init__(module)
         self.settings = OrderedDict()
         self.pulse_parameter_options = OrderedDict()
+        self.default_settings = QSettings("nqrduck-spectrometer", "nqrduck")
+
+    def set_default_settings(self) -> None:
+        """Sets the default settings of the spectrometer."""
+        self.default_settings.clear()
+        for category in self.settings.keys():
+            for setting in self.settings[category]:
+                setting_string = f"{self.module.model.name},{setting.name}"
+                self.default_settings.setValue(setting_string, setting.value)
+                logger.debug(f"Setting default value for {setting_string} to {setting.value}")
+
+    def load_default_settings(self) -> None:
+        """Load the default settings of the spectrometer."""
+        for category in self.settings.keys():
+            for setting in self.settings[category]:
+                setting_string = f"{self.module.model.name},{setting.name}"
+                if self.default_settings.contains(setting_string):
+                    logger.debug(f"Loading default value for {setting_string}")
+                    setting.value = self.default_settings.value(setting_string)
+
+    def clear_default_settings(self) -> None:
+        """Clear the default settings of the spectrometer."""
+        self.default_settings.clear()
 
     def add_setting(self, setting: Setting, category: str) -> None:
         """Adds a setting to the spectrometer.

src/nqrduck_spectrometer/base_spectrometer_view.py

@@ -8,6 +8,8 @@ from PyQt6.QtWidgets import (
     QSizePolicy,
     QSpacerItem,
     QVBoxLayout,
+    QPushButton,
+    QDialog,
 )
 from nqrduck.module.module_view import ModuleView
 from nqrduck.assets.icons import Logos
@@ -91,3 +93,108 @@ class BaseSpectrometerView(ModuleView):
 
         # Push all the settings to the top of the widget
         self._ui_form.verticalLayout.addStretch(1)
+
+        # Now we add a save and load button to the widget
+        self.button_layout = QHBoxLayout()
+
+        # Default Settings Button
+        self.default_button = QPushButton("Default Settings")
+        self.default_button.clicked.connect(self.on_default_button_clicked)
+        self.button_layout.addWidget(self.default_button)
+
+        # Save Button
+        self.save_button = QPushButton("Save Settings")
+        self.save_button.setIcon(Logos.Save16x16())
+        self.save_button.setIconSize(Logos.Save16x16().availableSizes()[0])
+        self.save_button.clicked.connect(self.on_save_button_clicked)
+        self.button_layout.addWidget(self.save_button)
+
+        # Load Button
+        self.load_button = QPushButton("Load Settings")
+        self.load_button.setIcon(Logos.Load16x16())
+        self.load_button.clicked.connect(self.on_load_button_clicked)
+        self.button_layout.addWidget(self.load_button)
+        self.load_button.setIconSize(Logos.Load16x16().availableSizes()[0])
+
+        self.button_layout.addStretch(1)
+
+        self._ui_form.verticalLayout.addLayout(self.button_layout)
+
+    def on_save_button_clicked(self):
+        """This method is called when the save button is clicked."""
+        logger.debug("Save button clicked")
+        # Open a dialog to save the settings to a file
+        file_manager = self.FileManager(
+            extension=self.module.model.SETTING_FILE_EXTENSION, parent=self
+        )
+        path = file_manager.saveFileDialog()
+        if path:
+            self.module.controller.save_settings(path)
+
+    def on_load_button_clicked(self):
+        """This method is called when the load button is clicked."""
+        logger.debug("Load button clicked")
+        # Open a dialog to load the settings from a file
+        file_manager = self.FileManager(
+            extension=self.module.model.SETTING_FILE_EXTENSION, parent=self
+        )
+        path = file_manager.loadFileDialog()
+        self.module.controller.load_settings(path)
+        if path:
+            self.module.controller.load_settings(path)
+
+    def on_default_button_clicked(self):
+        """This method is called when the default button is clicked."""
+        logger.debug("Default button clicked")
+        dialog = self.DefaultSettingsDialog(self)
+        dialog.exec()
+
+    class DefaultSettingsDialog(QDialog):
+        """Dialog to set or clear the default settings of the spectrometer."""
+        def __init__(self, parent=None):
+            """Initializes the default settings dialog."""
+            super().__init__(parent)
+            self.parent = parent
+            self.setWindowTitle("Default Settings")
+
+            self.layout = QVBoxLayout()
+
+            # Either we set the current settings as default
+            self.set_current_button = QPushButton("Set Current Settings as Default")
+            self.set_current_button.clicked.connect(
+                self.on_set_current_button_clicked
+            )
+
+            # Or we clear the default settings
+            self.clear_button = QPushButton("Clear Default Settings")
+            self.clear_button.clicked.connect(
+                self.on_clear_button_clicked
+            )
+
+            self.layout.addWidget(self.set_current_button)
+            self.layout.addWidget(self.clear_button)
+
+            self.setLayout(self.layout)
+
+            # Ok Button
+            self.ok_button = QPushButton("Ok")
+            self.ok_button.clicked.connect(self.accept)
+            self.layout.addWidget(self.ok_button)
+
+        def on_set_current_button_clicked(self):
+            """This method is called when the set current button is clicked."""
+            logger.debug("Set current button clicked")
+            self.parent.module.model.set_default_settings()
+            # Show notification that the settings have been set as default
+            self.parent.module.nqrduck_signal.emit(
+                "notification", ["Info", "Settings have been set as default."]
+            )
+
+        def on_clear_button_clicked(self):
+            """This method is called when the clear button is clicked."""
+            logger.debug("Clear button clicked")
+            self.parent.module.model.clear_default_settings()
+            # Show notification that the default settings have been cleared
+            self.parent.module.nqrduck_signal.emit(
+                "notification", ["Info", "Default settings have been cleared."]
+            )

src/nqrduck_spectrometer/controller.py

@@ -43,6 +43,8 @@ class SpectrometerController(ModuleController):
             logger.debug("Adding spectrometer to spectrometer model: %s", module_name)
             self._module.model.add_spectrometers(module_name, module)
 
+            module.controller.on_loading()
+
         self._module.view.create_menu_entry()
 
     def process_signals(self, key: str, value: object) -> None:

src/nqrduck_spectrometer/measurement.py

@@ -1,7 +1,8 @@
-"""Class for handling measurement data."""
+"""This module defines the measurement data structure and the fit class for measurement data."""
 
 import logging
 import numpy as np
+from scipy.optimize import curve_fit
 from nqrduck.helpers.signalprocessing import SignalProcessing as sp
 from nqrduck.helpers.functions import Function
 
@@ -28,8 +29,8 @@ class Measurement:
         target_frequency (float): Target frequency of the measurement.
         frequency_shift (float): Frequency shift of the measurement.
         IF_frequency (float): Intermediate frequency of the measurement.
-        xf (np.array): Frequency axis for the x axis of the measurement data.
+        fdx (np.array): Frequency axis for the x axis of the measurement data.
-        yf (np.array): Frequency axis for the y axis of the measurement data.
+        fdy (np.array): Frequency axis for the y axis of the measurement data.
     """
 
     def __init__(
@@ -46,69 +47,89 @@ class Measurement:
         self.tdx = tdx
         self.tdy = tdy
         self.target_frequency = target_frequency
-        self.fdx, self.fdy = sp.fft(tdx, tdy, frequency_shift)
+        self.frequency_shift = frequency_shift
         self.IF_frequency = IF_frequency
+        self.fdx, self.fdy = sp.fft(tdx, tdy, frequency_shift)
+        self.fits = []
 
-    def apodization(self, function: Function):
+    def apodization(self, function: Function) -> "Measurement":
         """Applies apodization to the measurement data.
 
         Args:
             function (Function): Apodization function.
 
-        returns:
+        Returns:
-            Measurement : The apodized measurement.
+            Measurement: The apodized measurement.
         """
-        # Get the y data weights from the function
         duration = (self.tdx[-1] - self.tdx[0]) * 1e-6
-
         resolution = duration / len(self.tdx)
-
         logger.debug("Resolution: %s", resolution)
 
         y_weight = function.get_pulse_amplitude(duration, resolution)
-
+        tdy_apodized = self.tdy * y_weight
-        tdy_measurement = self.tdy * y_weight
 
         apodized_measurement = Measurement(
             self.name,
             self.tdx,
-            tdy_measurement,
+            tdy_apodized,
             target_frequency=self.target_frequency,
             IF_frequency=self.IF_frequency,
         )
-
         return apodized_measurement
 
-    # Data saving and loading
+    def add_fit(self, fit: "Fit") -> None:
+        """Adds a fit to the measurement.
 
-    def to_json(self):
+        Args:
-        """Converts the measurement to a json-compatible format.
+            fit (Fit): The fit to add.
+        """
+        self.fits.append(fit)
+
+    def delete_fit(self, fit: "Fit") -> None:
+        """Deletes a fit from the measurement.
+
+        Args:
+            fit (Fit): The fit to delete.
+        """
+        self.fits.remove(fit)
+
+    def edit_fit_name(self, fit: "Fit", name: str) -> None:
+        """Edits the name of a fit.
+
+        Args:
+            fit (Fit): The fit to edit.
+            name (str): The new name.
+        """
+        logger.debug(f"Editing fit name to {name}.")
+        fit.name = name
+
+    def to_json(self) -> dict:
+        """Converts the measurement to a JSON-compatible format.
 
         Returns:
-            dict : The measurement in json-compatible format.
+            dict: The measurement in JSON-compatible format.
         """
         return {
             "name": self.name,
             "tdx": self.tdx.tolist(),
-            "tdy": [
+            "tdy": [[x.real, x.imag] for x in self.tdy],
-                [x.real, x.imag] for x in self.tdy
-            ],  # Convert complex numbers to list
             "target_frequency": self.target_frequency,
             "IF_frequency": self.IF_frequency,
+            "fits": [fit.to_json() for fit in self.fits],
         }
 
     @classmethod
-    def from_json(cls, json: dict):
+    def from_json(cls, json: dict) -> "Measurement":
-        """Converts the json format to a measurement.
+        """Converts the JSON format to a measurement.
 
         Args:
-            json (dict) : The measurement in json-compatible format.
+            json (dict): The measurement in JSON-compatible format.
 
         Returns:
-            Measurement : The measurement.
+            Measurement: The measurement.
         """
         tdy = np.array([complex(y[0], y[1]) for y in json["tdy"]])
-        return cls(
+        measurement = cls(
             json["name"],
             np.array(json["tdx"]),
             tdy,
@@ -116,58 +137,227 @@ class Measurement:
             IF_frequency=json["IF_frequency"],
         )
 
-    # Measurement data
+        for fit_json in json["fits"]:
+            measurement.add_fit(Fit.from_json(fit_json, measurement))
+
+        return measurement
+
+    # Properties for encapsulation
     @property
-    def name(self):
+    def name(self) -> str:
         """Name of the measurement."""
         return self._name
 
     @name.setter
-    def name(self, value):
+    def name(self, value: str) -> None:
         self._name = value
 
     @property
-    def tdx(self):
+    def tdx(self) -> np.array:
-        """Time axis for the x axis of the measurement data."""
+        """Time domain data for the measurement (x)."""
         return self._tdx
 
     @tdx.setter
-    def tdx(self, value):
+    def tdx(self, value: np.array) -> None:
         self._tdx = value
 
     @property
-    def tdy(self):
+    def tdy(self) -> np.array:
-        """Time axis for the y axis of the measurement data."""
+        """Time domain data for the measurement (y)."""
         return self._tdy
 
     @tdy.setter
-    def tdy(self, value):
+    def tdy(self, value: np.array) -> None:
         self._tdy = value
 
     @property
-    def fdx(self):
+    def fdx(self) -> np.array:
-        """Frequency axis for the x axis of the measurement data."""
+        """Frequency domain data for the measurement (x)."""
         return self._fdx
 
     @fdx.setter
-    def fdx(self, value):
+    def fdx(self, value: np.array) -> None:
         self._fdx = value
 
     @property
-    def fdy(self):
+    def fdy(self) -> np.array:
-        """Frequency axis for the y axis of the measurement data."""
+        """Frequency domain data for the measurement (y)."""
         return self._fdy
 
     @fdy.setter
-    def fdy(self, value):
+    def fdy(self, value: np.array) -> None:
         self._fdy = value
 
-    # Pulse parameters
     @property
-    def target_frequency(self):
+    def target_frequency(self) -> float:
         """Target frequency of the measurement."""
         return self._target_frequency
 
     @target_frequency.setter
-    def target_frequency(self, value):
+    def target_frequency(self, value: float) -> None:
         self._target_frequency = value
+
+    @property
+    def fits(self) -> list:
+        """Fits of the measurement."""
+        return self._fits
+
+    @fits.setter
+    def fits(self, value: list) -> None:
+        self._fits = value
+
+
+class Fit:
+    """The fit class for measurement data. A fit can be performed on either the frequency or time domain data.
+
+    A measurement can have multiple fits.
+    """
+
+    subclasses = []
+
+    def __init_subclass__(cls, **kwargs) -> None:
+        """Adds the subclass to the list of subclasses."""
+        super().__init_subclass__(**kwargs)
+        cls.subclasses.append(cls)
+
+    def __init__(self, name: str, domain: str, measurement: Measurement) -> None:
+        """Initializes the fit."""
+        self.name = name
+        self.domain = domain
+        self.measurement = measurement
+        self.fit()
+
+    def fit(self) -> None:
+        """Fits the measurement data and sets the fit parameters and covariance."""
+        if self.domain == "time":
+            x = self.measurement.tdx
+            y = self.measurement.tdy
+        elif self.domain == "frequency":
+            x = self.measurement.fdx
+            y = self.measurement.fdy
+        else:
+            raise ValueError("Domain not recognized.")
+
+        initial_guess = self.initial_guess()
+        self.parameters, self.covariance = curve_fit(
+            self.fit_function, x, abs(y), p0=initial_guess
+        )
+
+        self.x = x
+        self.y = self.fit_function(x, *self.parameters)
+
+    def fit_function(self, x: np.array, *parameters) -> np.array:
+        """The fit function.
+
+        Args:
+            x (np.array): The x data.
+            *parameters: The fit parameters.
+
+        Returns:
+            np.array: The y data.
+        """
+        raise NotImplementedError
+
+    def initial_guess(self) -> list:
+        """Initial guess for the fit.
+
+        Returns:
+            list: The initial guess.
+        """
+        raise NotImplementedError
+
+    def to_json(self) -> dict:
+        """Converts the fit to a JSON-compatible format.
+
+        Returns:
+            dict: The fit in JSON-compatible format.
+        """
+        return {
+            "name": self.name,
+            "class": self.__class__.__name__,
+        }
+
+    @classmethod
+    def from_json(cls, data: dict, measurement: Measurement) -> "Fit":
+        """Converts the JSON format to a fit.
+
+        Args:
+            data (dict): The fit in JSON-compatible format.
+            measurement (Measurement): The measurement.
+
+        Returns:
+            Fit: The fit.
+        """
+        for subclass in cls.subclasses:
+            if subclass.__name__ == data["class"]:
+                return subclass(name=data["name"], measurement=measurement)
+
+        raise ValueError(f"Subclass {data['class']} not found.")
+
+    @property
+    def x(self) -> np.array:
+        """The x data of the fit."""
+        return self._x
+
+    @x.setter
+    def x(self, value: np.array) -> None:
+        self._x = value
+
+    @property
+    def y(self) -> np.array:
+        """The y data of the fit."""
+        return self._y
+
+    @y.setter
+    def y(self, value: np.array) -> None:
+        self._y = value
+
+
+class T2StarFit(Fit):
+    """T2* fit for measurement data."""
+
+    def __init__(self, measurement: Measurement, name: str = "T2*") -> None:
+        """Initializes the T2* fit."""
+        super().__init__(name, "time", measurement)
+
+    def fit(self) -> None:
+        """Fits the measurement data and sets the fit parameters and covariance."""
+        super().fit()
+        self.parameters = {
+            "S0": self.parameters[0],
+            "T2Star": self.parameters[1],
+            "covariance": self.covariance,
+        }
+
+    def fit_function(self, t: np.array, S0: float, T2Star: float) -> np.array:
+        """The T2* fit function used for curve fitting."""
+        return S0 * np.exp(-t / T2Star)
+
+    def initial_guess(self) -> list:
+        """Initial guess for the T2* fit."""
+        return [1, 1]
+    
+class LorentzianFit(Fit):
+    """Lorentzian fit for measurement data."""
+
+    def __init__(self, measurement: Measurement, name: str = "Lorentzian") -> None:
+        """Initializes the Lorentzian fit."""
+        super().__init__(name, "frequency", measurement)
+
+    def fit(self) -> None:
+        """Fits the measurement data and sets the fit parameters and covariance."""
+        super().fit()
+        self.parameters = {
+            "S0": self.parameters[0],
+            "T2Star": self.parameters[1],
+            "covariance": self.covariance,
+        }
+        logger.debug("Lorentzian fit parameters: %s", self.parameters)
+
+    def fit_function(self, f: np.array, S0: float, T2Star: float) -> np.array:
+        """The Lorentzian fit function used for curve fitting."""
+        return S0 / (1 + (2 * np.pi * f * T2Star) ** 2)
+
+    def initial_guess(self) -> list:
+        """Initial guess for the Lorentzian fit."""
+        return [1, 1]

src/nqrduck_spectrometer/settings.py

@@ -36,6 +36,7 @@ class Setting(QObject):
             description (str): A description of the setting.
             default: The default value of the setting.
         """
+        self.widget = None
         super().__init__()
         self.name = name
         self.description = description
@@ -87,9 +88,16 @@ class NumericalSetting(Setting):
 
     It can additionally have a minimum and maximum value.
     """
-    def __init__(self, name: str, description: str, default, min_value = None, max_value  = None ) -> None:
+
+    def __init__(
+        self, name: str, description: str, default, min_value=None, max_value=None
+    ) -> None:
         """Create a new numerical setting."""
-        super().__init__(name, self.description_limit_info(description, min_value, max_value), default)
+        super().__init__(
+            name,
+            self.description_limit_info(description, min_value, max_value),
+            default,
+        )
 
     def description_limit_info(self, description: str, min_value, max_value) -> str:
         """Updates the description with the limits of the setting if there are any.
@@ -103,11 +111,11 @@ class NumericalSetting(Setting):
             str: The description of the setting with the limits.
         """
         if min_value is not None and max_value is not None:
-            description += (f"\n (min: {min_value}, max: {max_value})")
+            description += f"\n (min: {min_value}, max: {max_value})"
         elif min_value is not None:
-            description += (f"\n (min: {min_value})")
+            description += f"\n (min: {min_value})"
         elif max_value is not None:
-            description += (f"\n (max: {max_value})")
+            description += f"\n (max: {max_value})"
 
         return description
 
@@ -133,13 +141,19 @@ class FloatSetting(NumericalSetting):
         description: str,
         min_value: float = None,
         max_value: float = None,
-        spin_box: tuple = (False, False)
+        spin_box: tuple = (False, False),
     ) -> None:
         """Create a new float setting."""
+        self.spin_box = spin_box
         super().__init__(name, description, default, min_value, max_value)
 
         if spin_box[0]:
-            self.widget = DuckSpinBox(min_value=min_value, max_value=max_value, slider=spin_box[1], double_box=True)
+            self.widget = DuckSpinBox(
+                min_value=min_value,
+                max_value=max_value,
+                slider=spin_box[1],
+                double_box=True,
+            )
             self.widget.spin_box.setValue(default)
         else:
             self.widget = DuckFloatEdit(min_value=min_value, max_value=max_value)
@@ -169,6 +183,12 @@ class FloatSetting(NumericalSetting):
         self._value = float(value)
         self.settings_changed.emit()
 
+        if self.widget:
+            if self.spin_box[0]:
+                self.widget.spin_box.setValue(self._value)
+            else:
+                self.widget.setText(str(self._value))
+
 
 class IntSetting(NumericalSetting):
     """A setting that is an Integer.
@@ -189,13 +209,15 @@ class IntSetting(NumericalSetting):
         description: str,
         min_value=None,
         max_value=None,
-        spin_box: tuple = (False, False)
+        spin_box: tuple = (False, False),
     ) -> None:
         """Create a new int setting."""
+        self.spin_box = spin_box
         super().__init__(name, description, default, min_value, max_value)
-
+        if self.spin_box[0]:
-        if spin_box[0]:
+            self.widget = DuckSpinBox(
-            self.widget = DuckSpinBox(min_value=min_value, max_value=max_value, slider=spin_box[1])
+                min_value=min_value, max_value=max_value, slider=spin_box[1]
+            )
             self.widget.spin_box.setValue(default)
         else:
             self.widget = DuckIntEdit(min_value=min_value, max_value=max_value)
@@ -225,7 +247,11 @@ class IntSetting(NumericalSetting):
         value = int(float(value))
         self._value = value
         self.settings_changed.emit()
-
+        if self.widget:
+            if self.spin_box[0]:
+                self.widget.spin_box.setValue(value)
+            else:
+                self.widget.setText(str(value))
 
 
 class BooleanSetting(Setting):
@@ -253,6 +279,8 @@ class BooleanSetting(Setting):
     def value(self, value):
         try:
             self._value = bool(value)
+            if self.widget:
+                self.widget.setChecked(self._value)
             self.settings_changed.emit()
         except ValueError:
             raise ValueError("Value must be a bool")
@@ -307,6 +335,8 @@ class SelectionSetting(Setting):
         try:
             if value in self.options:
                 self._value = value
+                if self.widget:
+                    self.widget.setCurrentText(value)
                 self.settings_changed.emit()
             else:
                 raise ValueError("Value must be one of the options")