def __init__(self, parent, segmentManager):
"""
Create a new window for two dimensional graphs
:param parent: parent window if any
:param columns: the columns of measured parameters
:param data: Matrix of columns*number of elements.
In data[i,j] is the medition of the parameter columns[i] in the j detected element
:param classificationData: the clasification data for the clasification
:return:
"""
super(TwoDimensionalAnalisysWindow, self).__init__(parent)
self.setupUi(self)
# initialization settings for the plot widget
self.configure_widget()
self.segmentManager = segmentManager
# set the layout for the parameter tree widget
lay1 = QtGui.QVBoxLayout()
lay1.setMargin(0)
self.ParamTree = None
self.parameterTree = DuettoParameterTree()
lay1.addWidget(self.parameterTree)
self.dockWidgetContents.setLayout(lay1)
self.parameterTree.setAutoScroll(True)
self.parameterTree.setHeaderHidden(True)
self.dockWidgetContents.setStyleSheet("background-color:#DDF")
self.parameterTree.setMinimumWidth(self.DOCK_WINDOW_WIDTH)
# scatter plot to graphs the elements
self.scatter_plot = None
# font to use in the axis of the graph
self.font = QtGui.QFont()
# index of the element currently selected in the widget if any
# if no selection element then -1
self.selectedElementIndex = -1
self.create_parameter_tree(self.segmentManager.parameterColumnNames)
self.show()
def __createParameterTree(self):
"""
Create the ParameterTree with the options of the window.
The ParameterTree contains the combo box of
the active one dimensional transforms to select.
:return:
"""
transforms = self._transforms_handler.get_all_transforms_names()
transforms = [(unicode(self.tr(unicode(t))), t) for t in transforms]
params = [{
u'name': unicode(self.tr(u'Select')),
u'type': u'list',
u'value': transforms[0][1],
u'default': transforms[0][1],
u'values': transforms
}, {
u'name': unicode(self.tr(u'Settings')),
u'type': u'group'
}]
self.ParamTree = Parameter.create(name=u'One Dimensional Transform',
type=u'group',
children=params)
# create and set initial properties
self.parameterTree = DuettoParameterTree()
self.parameterTree.setAutoScroll(True)
self.parameterTree.setHeaderHidden(True)
self.parameterTree.setParameters(self.ParamTree)
# connect the signals to react when a change of one_dim_transform is made
self.ParamTree.param(unicode(
self.tr(u'Select'))).sigValueChanged.connect(self.changeTransform)
# reload the new widgets one_dim_transform options
self._transform_paramTree = None
self.reloadOptionsWidget(self.widget.one_dim_transform)
def __init__(self, parent, signal, segment_manager=None):
QDialog.__init__(self, parent)
self.setupUi(self)
self.widget.signal = small_signal(signal)
self._detector = None
self._classifier = None
# the factory adapters for segmentation and classification
self._segmentationAdapterFactory = SegmentationAdapterFactory()
self._classificationAdapterFactory = ClassificationAdapterFactory()
# the widget to visualize the segmentation and classification methods
self.segmentation_classification_tree = None
self.segmentation_classification_tree_widget = DuettoParameterTree()
self.segmentation_classification_tree_widget.setAutoScroll(True)
self.segmentation_classification_tree_widget.setHeaderHidden(True)
layout = QtGui.QVBoxLayout()
layout.setMargin(0)
layout.addWidget(self.parameter_bttn)
layout.addWidget(self.segmentation_classification_tree_widget)
self.segmentation_classification_settings.setLayout(layout)
# to manage the parameter selection and configuration
self.parameter_bttn.clicked.connect(lambda: self.modifyParametersMeasurement.emit())
self.create_segmentation_classification_param_tree()
if segment_manager is not None:
self.restore_previous_state(segment_manager)
self.detect()
class ElemDetectSettingsDialog(QDialog, Ui_Dialog):
"""
Dialog that allow the selection of segmentation, parameter measurement
and classification methods that would be used to process a segment.
It's a factory interface of detectors, parameter measurers and classifiers
"""
# region SIGNALS
# signal raised when the user try to modify the parameters to measure
# that functionality is delegated in the segmentation window through signal
modifyParametersMeasurement = pyqtSignal()
# endregion
# region Initialize
def __init__(self, parent, signal, segment_manager=None):
QDialog.__init__(self, parent)
self.setupUi(self)
self.widget.signal = small_signal(signal)
self._detector = None
self._classifier = None
# the factory adapters for segmentation and classification
self._segmentationAdapterFactory = SegmentationAdapterFactory()
self._classificationAdapterFactory = ClassificationAdapterFactory()
# the widget to visualize the segmentation and classification methods
self.segmentation_classification_tree = None
self.segmentation_classification_tree_widget = DuettoParameterTree()
self.segmentation_classification_tree_widget.setAutoScroll(True)
self.segmentation_classification_tree_widget.setHeaderHidden(True)
layout = QtGui.QVBoxLayout()
layout.setMargin(0)
layout.addWidget(self.parameter_bttn)
layout.addWidget(self.segmentation_classification_tree_widget)
self.segmentation_classification_settings.setLayout(layout)
# to manage the parameter selection and configuration
self.parameter_bttn.clicked.connect(lambda: self.modifyParametersMeasurement.emit())
self.create_segmentation_classification_param_tree()
if segment_manager is not None:
self.restore_previous_state(segment_manager)
self.detect()
def create_segmentation_classification_param_tree(self):
# get the adapters for segmentation methods
segmentation_adapters = self.segmentation_adapter_factory.adapters_names()
segmentation_adapters = [(self.tr(unicode(t)), t) for t in segmentation_adapters]
# get the adapters for classification methods
classification_adapters = self.classification_adapter_factory.adapters_names()
classification_adapters = [(self.tr(t), t) for t in classification_adapters]
# the list of segmentation adapters check boxes to select method (radio buttons unavailable)
list_param = [{u'name': unicode(x[1]), u'type': u'bool', u'value': False, u'default': False}
for x in segmentation_adapters]
# the method settings
list_param.append({u'name': unicode(self.tr(u'Method Settings')), u'type': u'group', u'children': []})
# the list of classification adapters check boxes to select method (radio buttons unavailable)
list_classification = [{u'name': unicode(x[1]), u'type': u'bool', u'value': False, u'default': False}
for x in classification_adapters]
# the method settings
list_classification.append({u'name': unicode(self.tr(u'Method Settings')), u'type': u'group', u'children': []})
params = [{u'name': unicode(self.tr(u'Segmentation')), u'type': u'group', u'children': list_param},
{u'name': unicode(self.tr(u'Classification')), u'type': u'group', u'children': list_classification}]
self.segmentation_classification_tree = Parameter.create(name=unicode(self.tr(u'Settings')),
type=u'group', children=params)
self.connect_segmentation_classification_changed_events()
def connect_segmentation_classification_changed_events(self):
self.segmentation_classification_tree.param(unicode(self.tr(u'Segmentation'))). \
sigTreeStateChanged.connect(lambda param, changes:
self.segmentation_classification_changed(param, changes, u'Segmentation',
self.segmentation_adapter_factory))
self.segmentation_classification_tree.param(unicode(self.tr(u'Classification'))). \
sigTreeStateChanged.connect(lambda param, changes:
self.segmentation_classification_changed(param, changes, u'Classification',
self.classification_adapter_factory))
# create and set initial properties
self.segmentation_classification_tree_widget.setParameters(self.segmentation_classification_tree)
# the only way of segmentation and classification on Sound Lab Lite version is manual
# self.segmentation_classification_tree_widget.setEnabled(False)
# lite_licence_restriction = u"The only way of segmentation and classification \n " \
# u"on Sound Lab Lite version is the manual. \n " \
# u"The others methods are available at \n the Professional Version of the software"
#
# self.segmentation_classification_tree_widget.setToolTip(self.tr(lite_licence_restriction))
def segmentation_classification_changed(self, param, changes, param_tree_name, adapter_factory):
"""
Process a change into the parameter tree of segmentation and classification
:param param:
:param changes:
:return:
"""
# block signals because there is changes that involve tree updates
# (select a segmentation method with settings that must be added into the tree by example)
self.segmentation_classification_tree.blockSignals(True)
for parameter, _, value in changes:
# if the value is bool then is the selection of the segmentation or classification method
# if the change came from the segmentation or classification method settings
# then continue (each method adapter would take care about it's settings)
if isinstance(value, bool) and value and \
parameter not in self.segmentation_classification_tree.param(unicode(self.tr(param_tree_name))). \
param(unicode(self.tr(u'Method Settings'))).children():
try:
# the parameter changed has the method name
adapter = adapter_factory.get_adapter(parameter.name())
# change the method settings if any (Parameter tree interface of adapter)
param_settings = self.segmentation_classification_tree.param(
unicode(self.tr(param_tree_name))).param(unicode(self.tr(u'Method Settings')))
param_settings.clearChildren()
method_settings = adapter.get_settings()
if method_settings:
param_settings.addChild(method_settings)
except Exception as ex:
print(ex.message)
params_to_update = self.segmentation_classification_tree.param(
unicode(self.tr(param_tree_name))).children()
params_to_update = [p for p in params_to_update if p.type() == u"bool" and
p.name() != parameter.name()]
# set to false the others segmentation methods (radio button behavior, only select one method)
for p in params_to_update:
p.setValue(False)
self.segmentation_classification_tree.blockSignals(False)
self.detect()
# endregion
# region Restore Previous Status
def restore_previous_state(self, segment_manager):
"""
Restore the dialog previous selected data to avoid lose of previous selected information
:return:
"""
# segmentation method restoration
self._restore_method(segment_manager.detector_adapter, self.segmentation_adapter_factory, u'Segmentation')
# classification method restoration
self._restore_method(segment_manager.classifier_adapter, self.classification_adapter_factory, u'Classification')
def _restore_method(self, adapter, adapter_factory, method_name):
"""
Restore the segmentation or classification adapter previously used
(user friendly restore of previous values of the dialog)
:param adapter: the adapter (segmentation or classification adapter)
:param method_name: the method name (one of 'Segmentation', 'Classification')
:return:
"""
for parameter in self.segmentation_classification_tree.param(unicode(self.tr(method_name))).children():
if parameter.type() == u"bool":
adapter_name = parameter.name()
method_adapter = adapter_factory.get_adapter(adapter_name)
if type(adapter) == type(method_adapter):
method_adapter.restore_settings(adapter, self.widget.signal)
parameter.setValue(True)
# endregion
# region Factory Adapters Properties
@property
def segmentation_adapter_factory(self):
return self._segmentationAdapterFactory
@property
def classification_adapter_factory(self):
return self._classificationAdapterFactory
@property
def detector(self):
"""
:return: The selected detector adapter to perform segmentation
"""
self._detector = self._get_adapter(self.segmentation_adapter_factory)
return self._detector
@property
def classifier(self):
self._classifier = self._get_adapter(self.classification_adapter_factory)
return self._classifier
# endregion
# region Detector, Parameter Measurers and Classifier
def _get_adapter(self, adapter_factory):
"""
Gets the adapter of the supplied adapter factory
:param adapter_factory: the adapter factory to find the adapter in.
:return:
"""
param_tree_name = u'Classification' if adapter_factory == self.classification_adapter_factory else u'Segmentation'
default_adapter_class = ManualDetectorAdapter
if adapter_factory == self.classification_adapter_factory:
default_adapter_class = ManualClassifierAdapter
try:
name = ""
parameters = self.segmentation_classification_tree.param(unicode(self.tr(param_tree_name))).children()
for parameter in parameters:
if parameter.type() == u"bool" and parameter.value():
name = parameter.name()
break
adapter = adapter_factory.get_adapter(name)
except Exception as e:
print("Fail to get the adapter instance. In " + param_tree_name + " " + e.message)
adapter = default_adapter_class()
return adapter
# endregion
def load_workspace(self, workspace):
"""
Method that loads the workspace to update visual options from main window.
:param workspace:
"""
self.widget.load_workspace(workspace)
def detect(self):
"""
Perform the detection on the small signal to visualize an
approximation of the detection algorithm
:return:
"""
# get the detector to perform segmentation
detector = self.detector.get_instance(self.widget.signal)
self.widget.elements = detector.detect()
# update the visual items of the segmentation process
self.widget.add_segmentation_items(detector.get_visual_items())
self.widget.graph()
class OneDimensionalAnalysisWindow(QtGui.QMainWindow, Ui_OneDimensionalWindow):
"""
Window that allow to create and visualize one dimensional transforms on signals
"""
# region CONSTANTS
DOCK_OPTIONS_WIDTH = 350
WIDGET_MINIMUM_HEIGHT = 350
WIDGET_MINIMUM_WIDTH = 1.5 * DOCK_OPTIONS_WIDTH
# endregion
def __init__(self, parent=None, signal=None):
super(OneDimensionalAnalysisWindow, self).__init__(parent)
self.setupUi(self)
self.show()
self.widget.setMinimumWidth(self.WIDGET_MINIMUM_WIDTH)
self.widget.setMinimumHeight(self.WIDGET_MINIMUM_HEIGHT)
self._transforms_handler = OneDimensionalGeneralHandler(self)
# connect the tool detected data to show the status bar message
self.statusbar = self.statusBar()
self.statusbar.setSizeGripEnabled(False)
self.widget.toolDataDetected.connect(self.updateStatusBar)
self._indexTo = -1
self._indexFrom = 0
if signal is None:
raise Exception("Signal can't be None.")
# set a default one dim one_dim_transform to the widget
self.widget.signal = signal
# self.signal = signal
self.widget.one_dim_transform = InstantFrequencies(signal)
# Parameter Tree Settings
self.__createParameterTree()
# self._transforms_handler.dataChanged.connect(self.widget.graph)
def load_workspace(self, workspace):
"""
Load the supplied theme into the widget inside.
:param theme: The theme with the visual options
:return:
"""
self.widget.load_workspace(workspace)
# region Properties IndexTo IndexFrom
@property
def indexTo(self):
return self._indexTo
@indexTo.setter
def indexTo(self, value):
self._indexTo = value
@property
def indexFrom(self):
return self._indexFrom
@indexFrom.setter
def indexFrom(self, value):
self._indexFrom = value
# endregion
# region Graph
def graph(self, indexFrom=0, indexTo=-1):
"""
Update the graph of the one dimensional
selected transformation in the signal interval supplied.
Apply the transformation to the signal interval and plot it.
:param indexFrom: start of the interval in signal data indexes
:param indexTo: end of the interval in signal data indexes
:return:
"""
indexTo = indexTo if indexTo >= 0 else self.widget.signal.length
if indexTo != self.indexTo:
self.indexTo = indexTo
if indexFrom != self.indexFrom:
self.indexFrom = indexFrom
labels = self._transforms_handler.get_axis_labels(
self.widget.one_dim_transform)
self.widget.graph(indexFrom, indexTo, labels)
# endregion
# region Parameter Tree Options
def __createParameterTree(self):
"""
Create the ParameterTree with the options of the window.
The ParameterTree contains the combo box of
the active one dimensional transforms to select.
:return:
"""
transforms = self._transforms_handler.get_all_transforms_names()
transforms = [(unicode(self.tr(unicode(t))), t) for t in transforms]
params = [{
u'name': unicode(self.tr(u'Select')),
u'type': u'list',
u'value': transforms[0][1],
u'default': transforms[0][1],
u'values': transforms
}, {
u'name': unicode(self.tr(u'Settings')),
u'type': u'group'
}]
self.ParamTree = Parameter.create(name=u'One Dimensional Transform',
type=u'group',
children=params)
# create and set initial properties
self.parameterTree = DuettoParameterTree()
self.parameterTree.setAutoScroll(True)
self.parameterTree.setHeaderHidden(True)
self.parameterTree.setParameters(self.ParamTree)
# connect the signals to react when a change of one_dim_transform is made
self.ParamTree.param(unicode(
self.tr(u'Select'))).sigValueChanged.connect(self.changeTransform)
# reload the new widgets one_dim_transform options
self._transform_paramTree = None
self.reloadOptionsWidget(self.widget.one_dim_transform)
def reloadOptionsWidget(self, one_dim_transform):
"""
Refresh the parameter tree and the layout
of the options windows when a change of transformation is made.
removes the old transformation options and set the parameter tree
of the new one.
:param one_dim_transform: the new one_dim_transform.
:return:
"""
options_window_layout = QtGui.QVBoxLayout()
options_window_layout.setMargin(0)
options_window_layout.addWidget(self.parameterTree)
# add the parameter tree of the one_dim_transform if exists
if one_dim_transform is not None:
# clear the settings options of the parameter tree
if self._transform_paramTree is not None:
self.ParamTree.param(u'Settings').clearChildren()
params = self._transforms_handler.get_settings(one_dim_transform)
self._transform_paramTree = Parameter.create(name=u'Parameters',
type=u'group',
children=params)
if params:
self.ParamTree.param(u'Settings').addChild(
self._transform_paramTree)
# getting transform graph information by the general handler
labels = self._transforms_handler.get_axis_labels(
one_dim_transform)
limits = self._transforms_handler.get_y_limits(one_dim_transform)
default_limits = self._transforms_handler.get_y_default(
one_dim_transform)
# setting the default Y range values
self.widget.minY = default_limits[0]
self.widget.maxY = default_limits[1]
# adding the range params to the settings
rangeParams = [{
u'name': unicode(self.tr(u'Min')),
u'type': u'int',
u'limits': limits,
u'value': self.widget.minY
}, {
u'name': unicode(self.tr(u'Max')),
u'type': u'int',
u'limits': limits,
u'value': self.widget.maxY
}]
self._yRange_paramTree = Parameter.create(name=labels[u'Y'],
type=u'group',
children=rangeParams)
self.ParamTree.param(u'Settings').addChild(self._yRange_paramTree)
# setting the connecting lines option on settings with default transform value
self.widget.lines = self._transforms_handler.get_default_lines(
one_dim_transform)
lines = {
u'name': unicode(self.tr(u'Connect points')),
u'type': u'bool',
u'value': self.widget.lines,
u'default': self.widget.lines
}
self.ParamTree.param(u'Settings').addChild(lines)
# connecting the signals to the change handler interval_function
self.ParamTree.param(u'Settings').param(
u'Connect points').sigTreeStateChanged.connect(
self.connectLinesChanged)
self._transform_paramTree.sigTreeStateChanged.connect(
self.changeTransformSettings)
self._yRange_paramTree.sigTreeStateChanged.connect(
self.changeYRangeSettings)
# removing the old layout from the dock widget
self.dock_settings_contents = QtGui.QWidget()
self.dock_settings_contents.setLayout(options_window_layout)
self.dockSettings.setWidget(self.dock_settings_contents)
self.dockSettings.setVisible(True)
self.dockSettings.setMinimumWidth(self.DOCK_OPTIONS_WIDTH)
def changeTransform(self, parameter):
"""
Method invoked when a new one_dim_transform is selected.
Change the one_dim_transform in the widget and update the options window
:param parameter: the parameter tree node that change
:return:
"""
transform_name = parameter.value()
self.widget.one_dim_transform = self._transforms_handler.get_transform(
transform_name)
self.reloadOptionsWidget(self.widget.one_dim_transform)
self.update()
self.graph(indexFrom=self.indexFrom, indexTo=self.indexTo)
def connectLinesChanged(self, param, changes):
param, change, data = changes[0]
self.widget.lines = data
self.graph(indexFrom=self.indexFrom, indexTo=self.indexTo)
def changeTransformSettings(self, param, changes):
for param, change, data in changes:
path = self._transform_paramTree.childPath(param)
if path is not None:
childName = '.'.join(path)
else:
childName = param.name()
self._transforms_handler.apply_settings_change(
self.widget.one_dim_transform, (childName, change, data))
self.graph(indexFrom=self.indexFrom, indexTo=self.indexTo)
def changeYRangeSettings(self, param, changes):
labels = self._transforms_handler.get_axis_labels(
self.widget.one_dim_transform)
for param, change, data in changes:
path = self._transform_paramTree.childPath(param)
if path is not None:
childName = '.'.join(path)
else:
childName = param.name()
if childName == u'Min':
self.widget.minY = data
if childName == u'Max':
self.widget.maxY = data
self.graph(indexFrom=self.indexFrom, indexTo=self.indexTo)
# endregion
def updateStatusBar(self, line):
"""
Update the status bar window message.
:param line: The (string) to show as message
:return: None
"""
self.statusbar.showMessage(line)
def __init__(self,
parent=None,
measurement_template=None,
signal=None,
workspace=None):
"""
:type specgram_data: dict with the options of spectrogram creation on main window
options are NFFT and overlap
"""
QtGui.QDialog.__init__(self, parent)
self.setupUi(self)
# the list of templates names
self.templates_paths = []
self.load_templates()
# if accepted or cancel anyway raise the changes
self.buttonBox.clicked.connect(
lambda bttn: self.parameterChangeFinished.emit(
self.measurement_template))
self.remove_measurement_template_bttn.clicked.connect(
self.delete_template)
self.save_measurement_template_as_bttn.clicked.connect(
self.save_template_as)
self.measurement_template_cbox.currentIndexChanged.connect(
self.select_template)
# configuration of parameters and location trees user interface
self.parameter_tree_widget = DuettoParameterTree()
self.parameter_tree_widget.setAutoScroll(True)
self.parameter_tree_widget.setHeaderHidden(True)
self.location_tree_widget = DuettoParameterTree()
self.location_tree_widget.setAutoScroll(True)
self.location_tree_widget.setHeaderHidden(True)
# create and set the layout for the parameter and location settings widget
self.create_layout_for_settings_widget()
self.param_measurement_tree = None
self.location_measurement_tree = None
# create the parameter trees for parameter settings and location settings
self.param_measurement_tree = Parameter.create(name=unicode(
self.tr(u'Parameter')),
type=u'group')
self.parameter_tree_widget.setParameters(self.param_measurement_tree)
self.location_measurement_tree = Parameter.create(name=unicode(
self.tr(u'Location')),
type=u'group')
self.location_tree_widget.setParameters(self.location_measurement_tree)
# tables are just for selection (of parameter-location) not for edit elements.
self.parameter_locations_table.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.wave_parameter_table.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.time_parameter_table.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.workspace = workspace
self.signal = signal
self._measurement_template = None
self.measurement_template = measurement_template if measurement_template is not None else MeasurementTemplate(
)
# pre visualization signal
try:
signal = openSignal(self.PARAMETER_VISUALIZATION_SIGNAL_PATH)
except Exception as e:
signal = small_signal(signal)
self.configure_advanced_mode_items(signal)
self.segmentManager = SegmentManager()
self.segmentManager.signal = self.widget.signal
self.segmentManager.segmentVisualItemAdded.connect(
self.widget.add_parameter_visual_items)
self.segmentManager.measurementsFinished.connect(
self.widget.draw_elements)
self.try_load_signal_segment()
class ParametersWindow(QtGui.QDialog, Ui_Dialog):
"""
Window that visualize a parameter manager to change its configurations.
Contains a tab widget with all the types of parameters to measure.
"""
# region CONSTANTS
MEASUREMENT_TEMPLATE_FOLDER = os.path.join("utils",
"measurement_templates")
PARAMETER_VISUALIZATION_SIGNAL_PATH = os.path.join(
os.path.join("utils", "measurement_templates"),
"measurement_params_example.wav")
# endregion
# region SIGNALS
# signal raised when the window has finished to interact with parameters
parameterChangeFinished = pyqtSignal(object)
# endregion
# region Initialize
def __init__(self,
parent=None,
measurement_template=None,
signal=None,
workspace=None):
"""
:type specgram_data: dict with the options of spectrogram creation on main window
options are NFFT and overlap
"""
QtGui.QDialog.__init__(self, parent)
self.setupUi(self)
# the list of templates names
self.templates_paths = []
self.load_templates()
# if accepted or cancel anyway raise the changes
self.buttonBox.clicked.connect(
lambda bttn: self.parameterChangeFinished.emit(
self.measurement_template))
self.remove_measurement_template_bttn.clicked.connect(
self.delete_template)
self.save_measurement_template_as_bttn.clicked.connect(
self.save_template_as)
self.measurement_template_cbox.currentIndexChanged.connect(
self.select_template)
# configuration of parameters and location trees user interface
self.parameter_tree_widget = DuettoParameterTree()
self.parameter_tree_widget.setAutoScroll(True)
self.parameter_tree_widget.setHeaderHidden(True)
self.location_tree_widget = DuettoParameterTree()
self.location_tree_widget.setAutoScroll(True)
self.location_tree_widget.setHeaderHidden(True)
# create and set the layout for the parameter and location settings widget
self.create_layout_for_settings_widget()
self.param_measurement_tree = None
self.location_measurement_tree = None
# create the parameter trees for parameter settings and location settings
self.param_measurement_tree = Parameter.create(name=unicode(
self.tr(u'Parameter')),
type=u'group')
self.parameter_tree_widget.setParameters(self.param_measurement_tree)
self.location_measurement_tree = Parameter.create(name=unicode(
self.tr(u'Location')),
type=u'group')
self.location_tree_widget.setParameters(self.location_measurement_tree)
# tables are just for selection (of parameter-location) not for edit elements.
self.parameter_locations_table.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.wave_parameter_table.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.time_parameter_table.setEditTriggers(
QAbstractItemView.NoEditTriggers)
self.workspace = workspace
self.signal = signal
self._measurement_template = None
self.measurement_template = measurement_template if measurement_template is not None else MeasurementTemplate(
)
# pre visualization signal
try:
signal = openSignal(self.PARAMETER_VISUALIZATION_SIGNAL_PATH)
except Exception as e:
signal = small_signal(signal)
self.configure_advanced_mode_items(signal)
self.segmentManager = SegmentManager()
self.segmentManager.signal = self.widget.signal
self.segmentManager.segmentVisualItemAdded.connect(
self.widget.add_parameter_visual_items)
self.segmentManager.measurementsFinished.connect(
self.widget.draw_elements)
self.try_load_signal_segment()
def configure_advanced_mode_items(self, signal):
"""
Configure the setting of the advanced mode window.
:param signal: the signal to graph with the segment to dynamically
measure the parameters and display items
:return:
"""
self.widget.signal = signal
self.widget.visibleSpectrogram = True
self.widget.visibleOscilogram = False
if self.workspace is not None:
self.widget.load_workspace(self.workspace)
self.visible_oscilogram_cbox.stateChanged.connect(
self.update_widget_graphs_visibility)
self.visible_spectrogram_cbox.stateChanged.connect(
self.update_widget_graphs_visibility)
self.visible_spectrogram_cbox.setChecked(True)
self.visible_oscilogram_cbox.setChecked(False)
self.widget.setSelectedTool(Tools.NoTool)
def visibility_function():
visibility = self.advanced_mode_visibility_cbox.isChecked()
self.dock_widget_advanced_mode.setVisible(visibility)
if visibility:
self.update_parameter_pre_visualization()
self.advanced_mode_visibility_cbox.stateChanged.connect(
visibility_function)
self.dock_widget_advanced_mode.setVisible(False)
self.finished.connect(
lambda _: self.dock_widget_advanced_mode.setVisible(False))
def create_layout_for_settings_widget(self):
label = QtGui.QLabel("<center><h4>" + self.tr(u"Settings") +
"</h4></center>")
layout = QtGui.QVBoxLayout()
layout.setMargin(0)
layout.addWidget(label)
layout.addWidget(self.parameter_tree_widget)
layout.addWidget(self.location_tree_widget)
self.settings_widget.setLayout(layout)
def try_load_signal_segment(self):
"""
Restore (if any) the previous session with this file.
That means detected elements, measured parameters etc that are saved on the signal
extra data.
:return:
"""
segments = self.widget.get_signal_segmentation_data()
if len(segments) == 0:
return
for i, e in enumerate(segments):
self.segmentManager.add_element(i, e[0], e[1])
self.widget.elements = self.segmentManager.elements
self.widget.graph()
def update_widget_graphs_visibility(self):
osc_visibility = self.visible_oscilogram_cbox.isChecked()
spec_visibility = self.visible_spectrogram_cbox.isChecked()
if self.widget.visibleOscilogram != osc_visibility:
self.widget.visibleOscilogram = osc_visibility
if self.widget.visibleSpectrogram != spec_visibility:
self.widget.visibleSpectrogram = spec_visibility
self.widget.setVisible(osc_visibility or spec_visibility)
self.widget.graph()
# endregion
# region Measurement Template Actions
def select_template(self, index):
"""
Select the template at index supplied.
:param index:
:return:
"""
if index == 0:
# the --new-- or blank measurement template
self.measurement_template = MeasurementTemplate()
return
try:
self.measurement_template.load_state(
deserialize(self.templates_paths[index - 1]))
self.load_parameters()
self.update_parameter_pre_visualization()
except Exception as e:
print(e.message)
self.select_template(0)
def load_templates(self):
"""
Load all the available templates from disc
(if any) and fills the combo box with them.
:return:
"""
self.measurement_template_cbox.clear()
# the 0 index of the combo has the new template option for unsaved ones
self.measurement_template_cbox.addItem("--new--")
self.templates_paths = folder_files(self.MEASUREMENT_TEMPLATE_FOLDER,
extensions=[".dmt"])
templates = []
for path in self.templates_paths:
try:
templates.append(deserialize(path)["name"])
except Exception as e:
templates.append(path)
self.measurement_template_cbox.addItems(templates)
def save_template_as(self):
"""
Save the current template as a new one in the system.
:return:
"""
new_template_name = unicode(self.new_template_name_linedit.text())
template_names = [
unicode(self.measurement_template_cbox.itemText(i))
for i in range(self.measurement_template_cbox.count())
]
if not new_template_name:
QtGui.QMessageBox.warning(
QtGui.QMessageBox(), self.tr(u"Error"),
self.tr(
u"You have to write a name for the measurement template."))
return
elif new_template_name in template_names:
error_msg = self.tr(u"There is already a template with that name.")
QtGui.QMessageBox.warning(QtGui.QMessageBox(), self.tr(u"Error"),
error_msg)
return
# save the template as new one
self.measurement_template.name = new_template_name
try:
new_template_path = os.path.join(
self.MEASUREMENT_TEMPLATE_FOLDER,
self.measurement_template.name + ".dmt")
serialize(new_template_path, self.measurement_template.get_state())
self.templates_paths.append(new_template_path)
self.measurement_template_cbox.addItem(new_template_name)
# the first index is for the --new-- template
self.measurement_template_cbox.setCurrentIndex(
len(self.templates_paths))
except Exception as e:
print e.message
error_msg = self.tr(
u"An error occurs when the template was been saved. Try it again"
)
QtGui.QMessageBox.warning(QtGui.QMessageBox(), self.tr(u"Error"),
error_msg)
def delete_template(self):
"""
removes (if possible) the current template from the list of templates.
:return:
"""
text = self.tr(
u"The current measurement template is protected and could not be deleted."
)
if not self.measurement_template.editable:
QtGui.QMessageBox.warning(QtGui.QMessageBox(), self.tr(u"Error"),
text)
return
current_template_index = self.measurement_template_cbox.currentIndex()
if current_template_index == 0:
return
# delete the file
try:
os.remove(
os.path.join(self.MEASUREMENT_TEMPLATE_FOLDER,
self.measurement_template.name + ".dmt"))
self.measurement_template_cbox.removeItem(current_template_index)
del self.templates_paths[current_template_index - 1]
except Exception as e:
pass
# select the --new-- template at 0 index in the combo box
self.measurement_template_cbox.setCurrentIndex(0)
# endregion
# region Properties
@property
def measurement_template(self):
return self._measurement_template
@measurement_template.setter
def measurement_template(self, parameter):
if not isinstance(parameter, MeasurementTemplate):
raise Exception(
"Invalid type of argument. Must be of type MeasurementTemplate"
)
self._measurement_template = parameter
self.config_measurement_template()
for adapter in self.measurement_template.get_data_changing_adapters():
adapter.dataChanged.connect(
self.update_parameter_pre_visualization)
# when change the parameter manager updates its values on the tables
self.load_parameters()
# endregion
# region Load Parameters
def config_measurement_template(self):
"""
sets the configuration if any of the values in the measurement template
accord to the current signal in process by the system
:return:
"""
if self.signal is not None:
self.measurement_template.update_adapters_data(self.signal)
if self.workspace is not None:
NFFT = self.workspace.spectrogramWorkspace.FFTSize
overlap = self.workspace.spectrogramWorkspace.FFTOverlap
# the overlap on the workspace is between 0 and 1
# and is -1 if automatic overlap selected by system
overlap = 50 if overlap < 0 else overlap * 100
spectrogram_data = dict(NFFT=NFFT, overlap=overlap)
self.measurement_template.update_locations_data(spectrogram_data)
def load_parameters(self):
"""
Updates the parameter configuration on the window with the ones in the parameter template.
:return:
"""
if self.measurement_template is None:
return
self.load_time_based_parameters()
table = self.wave_parameter_table
adapters = self.measurement_template.wave_parameters_adapters
locations_adapters = self.measurement_template.wave_locations_adapters
self.load_parameters_locations(
table, locations_adapters, adapters,
self.measurement_template.wave_location_parameters)
table = self.parameter_locations_table
locations_adapters = self.measurement_template.spectral_time_locations_adapters
adapters = self.measurement_template.spectral_parameters_adapters
self.load_parameters_locations(
table, locations_adapters, adapters,
self.measurement_template.spectral_location_parameters)
# clear the parameter-location settings tree
self.param_measurement_tree.clearChildren()
self.location_measurement_tree.clearChildren()
def load_time_based_parameters(self):
"""
Load into the time parameter table widget the data of the time parameter adapters from the manager.
:return:
"""
# commodity variable for table
table = self.time_parameter_table
adapters = self.measurement_template.time_parameters_adapters
# first row for the 'select all' option
table.setRowCount(1 + len(adapters))
table.setVerticalHeaderLabels([self.tr(u"Select All")] +
[x.name for x in adapters])
table.setColumnCount(1)
table.setHorizontalHeaderLabels([self.tr(u"Measure")])
all_selected = True
# the first row (0 index) is for the select all option
for i in xrange(table.rowCount()):
item = QtGui.QTableWidgetItem("")
state = Qt.Unchecked if i == 0 or not self.measurement_template.time_location_parameters[
i - 1] else Qt.Checked
all_selected = all_selected and (i == 0 or state == Qt.Checked)
item.setCheckState(state)
table.setItem(i, 0, item)
if all_selected:
table.item(0, 0).setCheckState(Qt.Checked)
def time_selection_function(row, col):
state = Qt.Unchecked if table.item(
row, col).checkState() == Qt.Checked else Qt.Checked
table.item(row, col).setCheckState(state)
table.cellPressed.connect(time_selection_function)
table.cellClicked.connect(
lambda row, col: self.parameter_time_selected(row, col, adapters))
# fit the contents of the parameters names on the cells
table.resizeColumnsToContents()
table.resizeRowsToContents()
def load_parameters_locations(self, table, time_locations_adapters,
param_adapters, selection_matrix):
"""
Load into the spectral tab widget the data of the current parameter manager
:return:
"""
# one extra row and column for the 'select all' option
table.setRowCount(1 + len(param_adapters))
table.setColumnCount(1 + len(time_locations_adapters))
row_names = [self.tr(u"All Params")] + [x.name for x in param_adapters]
column_names = [self.tr(u"All Locations")
] + [x.name for x in time_locations_adapters]
# load spectral params and locations
for i in xrange(table.rowCount()):
for j in xrange(table.columnCount()):
item = QtGui.QTableWidgetItem("")
table.setItem(i, j, item)
state = Qt.Unchecked
if i > 0 and j > 0 and selection_matrix[i - 1, j - 1]:
state = Qt.Checked
item.setCheckState(state)
all_selected = True
# set the state for the select all options items
for i in xrange(1, table.rowCount()):
state = Qt.Checked if selection_matrix[
i - 1, :].all() else Qt.Unchecked
table.item(i, 0).setCheckState(state)
for i in xrange(1, table.columnCount()):
state = Qt.Checked if selection_matrix[:, i -
1].all() else Qt.Unchecked
table.item(0, i).setCheckState(state)
all_selected = all_selected and (state == Qt.Checked)
table.item(
0, 0).setCheckState(Qt.Checked if all_selected else Qt.Unchecked)
table.setVerticalHeaderLabels(row_names)
table.setHorizontalHeaderLabels(column_names)
def selection_function(x, y):
state = Qt.Unchecked if table.item(
x, y).checkState() == Qt.Checked else Qt.Checked
table.item(x, y).setCheckState(state)
table.cellPressed.connect(selection_function)
table.cellClicked.connect(
lambda x, y: self.parameter_spectral_selected(
table, x, y, param_adapters, selection_matrix,
time_locations_adapters))
table.resizeColumnsToContents()
table.resizeRowsToContents()
# endregion
def parameter_spectral_selected(self,
table,
row,
col,
param_adapters,
selection_matrix,
time_locations_adapters=None,
select_all_parameters=False):
# select all params all locations
if row == 0 and col == 0:
# update the columns 'select all' values
for i in xrange(1, table.columnCount()):
table.item(row,
i).setCheckState(table.item(row, col).checkState())
for i in xrange(1, table.rowCount()):
table.item(i, col).setCheckState(
table.item(row, col).checkState())
self.parameter_spectral_selected(table, i, col, param_adapters,
selection_matrix,
time_locations_adapters, True)
elif row == 0:
for i in xrange(1, table.rowCount()):
table.item(i, col).setCheckState(
table.item(row, col).checkState())
selection_matrix[i - 1, col - 1] = table.item(
row, col).checkState() == Qt.Checked
elif col == 0:
for i in xrange(1, table.columnCount()):
table.item(row,
i).setCheckState(table.item(row, col).checkState())
selection_matrix[row - 1, i - 1] = table.item(
row, col).checkState() == Qt.Checked
else:
selection_matrix[row - 1, col - 1] = table.item(
row, col).checkState() == Qt.Checked
# boolean to avoid multiple computation with recursive calls
if not select_all_parameters:
self.update_parameter_and_locations_settings(
row - 1, col - 1, param_adapters, time_locations_adapters)
if not select_all_parameters:
table.repaint()
self.settings_widget.repaint()
self.update_parameter_pre_visualization()
def parameter_time_selected(self, row, col, param_adapters):
table = self.time_parameter_table if self.tab_time_parameters.isVisible(
) else self.wave_parameter_table
if row == 0:
for i in xrange(1, table.rowCount()):
table.item(i, col).setCheckState(
table.item(row, col).checkState())
self.measurement_template.time_location_parameters[:] = table.item(
row, col).checkState() == Qt.Checked
return
self.measurement_template.time_location_parameters[
row - 1] = table.item(row, col).checkState() == Qt.Checked
self.update_parameter_and_locations_settings(
row - 1, col, param_adapters,
self.measurement_template.spectral_time_locations_adapters)
# make a fast visible the change on the checkbox to prevent multiple clicks
table.repaint()
self.update_parameter_pre_visualization()
def update_parameter_and_locations_settings(self,
row,
col,
param_adapters,
time_locations_adapters=None):
# update tree of parameter settings and locations
self.param_measurement_tree.clearChildren()
self.location_measurement_tree.clearChildren()
if row < 0 or col < 0:
return
try:
parameter_adapter = param_adapters[row]
param_settings = parameter_adapter.get_settings()
self.param_measurement_tree.addChild(param_settings)
if time_locations_adapters is not None:
time_location_adapter = time_locations_adapters[col]
location_settings = time_location_adapter.get_settings()
self.location_measurement_tree.addChild(location_settings)
# spectral locations reserved for future versions
# if isinstance(parameter_adapter, SpectralParameterAdapter):
# spectral_location_adapter = self.measurement_template.spectral_locations_adapters[row, col]
# spectral_location_settings = spectral_location_adapter.get_settings()
# self.location_measurement_tree.addChild(spectral_location_settings)
except Exception as ex:
print("updating settings " + ex.message)
def update_parameter_pre_visualization(self):
if self.widget.visibleSpectrogram or self.widget.visibleOscilogram:
self.segmentManager.parameters = self.measurement_template.parameter_list(
)
self.widget.elements = self.segmentManager.elements
self.segmentManager.measure_parameters_and_classify()
class TwoDimensionalAnalisysWindow(QtGui.QMainWindow, Ui_TwoDimensionalWindow):
"""
Window that provide an interface to create two dimensional
graphs.
"""
# region SIGNALS
# Signal raised when an element is selected in the graph.
# Raise the index of the selected element
elementSelected = QtCore.Signal(int)
# Signal raised when a selection of elements are manually classified.
# raise the classification indexes of the elements as a list and
# the ClassificationData for each one
elementsClassified = QtCore.Signal(list, object)
# endregion
# region CONSTANTS
# the width by default of the dock window with the options of the graph
DOCK_WINDOW_WIDTH = 200
# the color of the selected element brush
SELECTED_ELEMENT_COLOR = "FFF"
# endregion
# region Initialize
def __init__(self, parent, segmentManager):
"""
Create a new window for two dimensional graphs
:param parent: parent window if any
:param columns: the columns of measured parameters
:param data: Matrix of columns*number of elements.
In data[i,j] is the medition of the parameter columns[i] in the j detected element
:param classificationData: the clasification data for the clasification
:return:
"""
super(TwoDimensionalAnalisysWindow, self).__init__(parent)
self.setupUi(self)
# initialization settings for the plot widget
self.configure_widget()
self.segmentManager = segmentManager
# set the layout for the parameter tree widget
lay1 = QtGui.QVBoxLayout()
lay1.setMargin(0)
self.ParamTree = None
self.parameterTree = DuettoParameterTree()
lay1.addWidget(self.parameterTree)
self.dockWidgetContents.setLayout(lay1)
self.parameterTree.setAutoScroll(True)
self.parameterTree.setHeaderHidden(True)
self.dockWidgetContents.setStyleSheet("background-color:#DDF")
self.parameterTree.setMinimumWidth(self.DOCK_WINDOW_WIDTH)
# scatter plot to graphs the elements
self.scatter_plot = None
# font to use in the axis of the graph
self.font = QtGui.QFont()
# index of the element currently selected in the widget if any
# if no selection element then -1
self.selectedElementIndex = -1
self.create_parameter_tree(self.segmentManager.parameterColumnNames)
self.show()
def configure_widget(self):
"""
Set a group of initial configuration on the visualization widget
:return:
"""
self.widget.setContextMenuPolicy(QtCore.Qt.ActionsContextMenu)
self.widget.getPlotItem().showGrid(x=True, y=True)
self.widget.setMouseEnabled(x=False, y=False)
self.widget.getPlotItem().hideButtons()
self.widget.setMenuEnabled(False)
self.widget.enableAutoRange()
self.widget.addAction(self.actionMark_Selected_Elements_As)
self.widget.addAction(self.actionHide_Show_Settings)
self.widget.addAction(self.actionSaveGraphImage)
def create_parameter_tree(self, parameterColumnNames):
"""
Create the parameter tree with the visual options according to the
measured parameters.
:param parameterColumnNames: the names of the measured parameters
:return:
"""
if len(parameterColumnNames) == 0:
return
# the X axis possible params names
x_axis = [unicode(x) for x in parameterColumnNames]
# get two initial random parameters to visualize in x and y axis
x, y = random.randint(0,
len(x_axis) / 2), random.randint(
len(x_axis) / 2,
len(x_axis) - 1)
params = [
{
u'name':
unicode(self.tr(u'X Axis Parameter Settings')),
u'type':
u'group',
u'children': [{
u'name':
unicode(self.tr(u'X Axis')),
u'type':
u'list',
u'value':
x,
# the possible values to select for graph in the X axis (name,index)
u'default':
x,
u'values': [(name, i) for i, name in enumerate(x_axis)]
}]
},
{
u'name':
unicode(self.tr(u'Y Axis Parameter Settings')),
u'type':
u'group',
u'children': [{
u'name':
unicode(self.tr(u'Y Axis')),
u'type':
u'list',
u'value':
y,
# the possible values to select for graph in the Y axis (name,index)
u'default':
y,
u'values': [(name, i) for i, name in enumerate(x_axis)]
}]
},
{
u'name': unicode(self.tr(u'Color')),
u'type': u'color',
u'value': "00F"
},
{
u'name': unicode(self.tr(u'Figures Size')),
u'type': u'int',
u'value': 15
},
{
u'name':
unicode(self.tr(u'Figures Shape')),
u'type':
u'list',
u'value':
"o",
u'default':
"o",
u'values': [("Circle", "o"), ("Square", "s"),
("Triangle", "t"), ("Diamond", "d"), ("Plus", "+")]
},
{
u'name': unicode(self.tr(u'Change Font')),
u'type': u'action'
},
{
u'name': unicode(self.tr(u'Save Graph as Image')),
u'type': u'action'
}
]
self.ParamTree = Parameter.create(name=u'params',
type=u'group',
children=params)
self.parameterTree.setParameters(self.ParamTree, showTop=False)
self.ParamTree.sigTreeStateChanged.connect(self.plot)
self.ParamTree.param(unicode(
self.tr(u'Save Graph as Image'))).sigActivated.connect(
self.on_actionSaveGraphImage_triggered)
self.ParamTree.param(unicode(
self.tr(u'Change Font'))).sigActivated.connect(self.changeFont)
# visualize the changes
self.plot()
# endregion
# region Graph Managing
def load_data(self, segment_manager):
"""
Load a new detection data. Update the graph and the internal variables
from the segment manager.
:return:
"""
self.deselect_element()
# removes the old combo with the old parameters
# the x axis old parameters
self.ParamTree.param(unicode(
self.tr(u'X Axis Parameter Settings'))).removeChild(
self.ParamTree.param(
unicode(self.tr(u'X Axis Parameter Settings'))).param(
unicode(self.tr(u'X Axis'))))
# the y axis old parameters
self.ParamTree.param(unicode(
self.tr(u'Y Axis Parameter Settings'))).removeChild(
self.ParamTree.param(
unicode(self.tr(u'Y Axis Parameter Settings'))).param(
unicode(self.tr(u'Y Axis'))))
# create the new combo for the new parameters
# the x axis new parameters
self.ParamTree.param(unicode(
self.tr(u'X Axis Parameter Settings'))).addChild(
Parameter.create(
**{
u'name':
unicode(self.tr(u'X Axis')),
u'type':
u'list',
u'value':
0,
u'default':
0,
u'values': [(name, i) for i, name in enumerate(
segment_manager.parameterColumnNames)]
}))
# the y axis new parameters
self.ParamTree.param(unicode(
self.tr(u'Y Axis Parameter Settings'))).addChild(
Parameter.create(
**{
u'name':
unicode(self.tr(u'Y Axis')),
u'type':
u'list',
u'value':
0,
u'default':
0,
u'values': [(name, i) for i, name in enumerate(
segment_manager.parameterColumnNames)]
}))
self.plot()
def update_data(self, segmentManager):
"""
Update the data from the segment manager where a change is made
on the amount of elements(someone(s) is(are) deleted(added)) but the parameters measured
remains equals.
(If the change is made on parameters must call loadData)
:param segmentManager:
:return:
"""
self.segmentManager = segmentManager
self.plot()
def changeFont(self):
"""
Change the font of the axis in the plot widget.
"""
self.font, ok = QtGui.QFontDialog.getFont(self.font)
if ok:
self.widget.setAxisFont("bottom", self.font)
self.widget.setAxisFont("left", self.font)
def plot(self):
"""
Plot the two dimensional graph with the options settings defined by user.
:return:
"""
self.widget.clear()
# get the indexes of the two params X and Y for each axis values to graph
x_axis_index = self.ParamTree.param(
unicode(self.tr(u'X Axis Parameter Settings'))).param(
unicode(self.tr(u'X Axis'))).value()
y_axis_index = self.ParamTree.param(
unicode(self.tr(u'Y Axis Parameter Settings'))).param(
unicode(self.tr(u'Y Axis'))).value()
# get the visual options of the graph
color = self.ParamTree.param(unicode(self.tr(u'Color'))).value()
shape = self.ParamTree.param(unicode(
self.tr(u'Figures Shape'))).value()
fig_size = self.ParamTree.param(unicode(
self.tr(u'Figures Size'))).value()
# get the values x,y of each element according to the measured parameter selected in each axis
x_cords = [
e[x_axis_index] for e in self.segmentManager.measuredParameters
]
y_cords = [
e[y_axis_index] for e in self.segmentManager.measuredParameters
]
xmin, xmax = min(x_cords), max(x_cords)
ymin, ymax = min(y_cords), max(y_cords)
# space in x and y axis for center the visible elements and set the
# visible range a little more bigger than just the area that enclose them
xshift = (xmax - xmin) * 0.15 # 15 % for every side left and rigth
yshift = (ymax - ymin) * 0.15 # 15 % up and down
# create the scatter plot with the values
self.scatter_plot = pg.ScatterPlotItem(x=x_cords,
y=y_cords,
data=numpy.arange(len(x_cords)),
size=fig_size,
symbol=shape,
brush=(pg.mkBrush(color)))
# connect the signals for selection item on the plot
self.scatter_plot.sigClicked.connect(self.elementFigureClicked)
elems = self.scatter_plot.points()
# draw the selected element with a different brush
if 0 <= self.selectedElementIndex < len(elems):
elems[self.selectedElementIndex].setBrush(
pg.mkBrush(self.SELECTED_ELEMENT_COLOR))
# update font size in axis labels
text_size = {
'color': '#FFF',
'font-size': unicode(self.font.pointSize()) + 'pt'
}
self.widget.setAxisLabel(
u"bottom",
unicode(self.segmentManager.parameterColumnNames[x_axis_index]),
**text_size)
self.widget.setAxisLabel(
u"left",
unicode(self.segmentManager.parameterColumnNames[y_axis_index]),
**text_size)
# add the plot to the widget
self.widget.addItem(self.scatter_plot)
# set range to the visible region of values
self.widget.setRange(xRange=(xmin - xshift, xmax + xshift),
yRange=(ymin - yshift, ymax + yshift))
# clear the selection rectangle
self.widget.removeSelectionRect()
self.widget.addSelectionRect()
# endregion
# region Elements Selection
def select_element(self, index):
"""
Select the element at index 'index' in the graph.
If index is outside of the elements count range nothing is do it.
:param index: The index of the element to select.
:return:
"""
if self.scatter_plot is None or self.selectedElementIndex == index:
return
# get the current elements on the graph
elems = self.scatter_plot.points()
if not 0 <= index < len(elems):
return
# get the color of the not selected elements
color = self.ParamTree.param(unicode(self.tr(u'Color'))).value()
element_to_select = elems[index]
element_to_select.setBrush(pg.mkBrush(self.SELECTED_ELEMENT_COLOR))
# update the old selected element to unselected (if any)
if self.selectedElementIndex != -1:
elems[self.selectedElementIndex].setBrush(pg.mkBrush(color))
# update the state variable of last selected element
self.selectedElementIndex = index
def deselect_element(self):
"""
Deselect the element currently selected (if any) on the graph.
:return:
"""
if self.scatter_plot is None or self.selectedElementIndex < 0:
return
# get the color of the normal element figures on the graph
color = self.ParamTree.param(unicode(self.tr(u'Color'))).value()
# set the normal brush color to the element selected
self.scatter_plot.points()[self.selectedElementIndex].setBrush(
pg.mkBrush(color))
self.selectedElementIndex = -1
def elementFigureClicked(self, x, y):
"""
Method that listen to the event of click an element on the scatter plot graph.
:param x:
:param y:
:return:
"""
self.select_element(y[0].data())
self.elementSelected.emit(y[0].data())
# endregion
def load_workspace(self, workspace):
"""
Update the visual theme of the window with the values from
the application.
:param theme: The visual theme currently used in the application.
:return:
"""
self.widget.setBackground(
workspace.workTheme.oscillogramTheme.background_color)
self.widget.showGrid(x=workspace.workTheme.oscillogramTheme.gridX,
y=workspace.workTheme.oscillogramTheme.gridY)
@pyqtSlot()
def on_actionHide_Show_Settings_triggered(self):
"""
Switch the visibility of the settings window
:return:
"""
visibility = self.dockGraphsOptions.isVisible()
self.dockGraphsOptions.setVisible(not visibility)
if not visibility:
# if was previously invisible
self.dockGraphsOptions.setFloating(False)
@pyqtSlot()
def on_actionSaveGraphImage_triggered(self):
"""
Save the widget graph as image
:return:
"""
fname = unicode(
QFileDialog.getSaveFileName(
self, self.tr(u"Save two dimensional graph as an Image"),
u"two-dim-graph-Duetto-Image", u"*.jpg"))
if fname:
save_image(self.widget, fname)
@pyqtSlot()
def on_actionMark_Selected_Elements_As_triggered(self):
"""
Make the manual classification of elements on the graph.
@return: the indexes of the manually classified selected elements in the graph.
"""
if self.scatter_plot is None:
return []
rect = self.widget.ElementSelectionRect.rect()
# get the rect bounds
x1, y1 = rect.x(), rect.y()
x2, y2 = x1 + rect.width(), y1 + rect.height()
# the width and height could be negatives
x1, x2, y1, y2 = min(x1, x2), max(x1, x2), min(y1, y2), max(y1, y2)
# get the elements that are on the range marked by the rectangle
selected_elements = [
x.data() for x in self.scatter_plot.points()
if x1 <= x.pos().x() <= x2 and y1 <= x.pos().y() <= y2
]
if len(selected_elements) == 0:
QtGui.QMessageBox.warning(
QtGui.QMessageBox(), self.tr(u"Warning"),
self.tr(u"There is no element selected."))
return
# get the taxonomic identification
classification_dialog = ManualClassificationDialog()
classification_dialog.exec_()
self.elementsClassified.emit(
selected_elements, classification_dialog.get_classification())