def cancel_button_clicked(self):
"""Action for cancel button clicked."""
# Change mode
self.mode = CHOOSE_MODE
# Enable all edit buttons and combo boxes
for i in range(len(self.exposures)):
if i == self.special_case_index:
self.exposure_edit_buttons[i].setEnabled(False)
self.exposure_combo_boxes[i].setEnabled(False)
continue
if self.get_classification(self.exposure_combo_boxes[i]):
self.exposure_edit_buttons[i].setEnabled(True)
else:
self.exposure_edit_buttons[i].setEnabled(False)
# self.exposure_edit_buttons[i].setText(tr('Edit'))
self.exposure_combo_boxes[i].setEnabled(True)
# Clear right panel
clear_layout(self.right_layout)
# Show current state
self.show_current_state()
# Unset active exposure
self.active_exposure = None
self.parent.pbnNext.setEnabled(self.is_ready_to_next_step())
def classifications_combo_box_changed(
self, index, exposure, exposure_combo_box, edit_button):
"""Action when classification combo box changed.
:param index: The index of the combo box.
:type index: int
:param exposure: The exposure associated with the combo box.
:type exposure: dict
:param exposure_combo_box: Combo box for the classification.
:type exposure_combo_box: QComboBox
:param edit_button: The edit button associate with combo box.
:type edit_button: QPushButton
"""
# Disable button if it's no classification
edit_button.setEnabled(bool(index))
classification = self.get_classification(exposure_combo_box)
self.activate_classification(exposure, classification)
clear_layout(self.right_layout)
self.show_current_state()
self.parent.pbnNext.setEnabled(self.is_ready_to_next_step())
# Open edit panel directly
edit_button.click()
def classifications_combo_box_changed(
self, index, exposure, exposure_combo_box, edit_button):
"""Action when classification combo box changed.
:param index: The index of the combo box.
:type index: int
:param exposure: The exposure associated with the combo box.
:type exposure: dict
:param exposure_combo_box: Combo box for the classification.
:type exposure_combo_box: QComboBox
:param edit_button: The edit button associate with combo box.
:type edit_button: QPushButton
"""
# Disable button if it's no classification
edit_button.setEnabled(bool(index))
classification = self.get_classification(exposure_combo_box)
self.activate_classification(exposure, classification)
clear_layout(self.right_layout)
self.show_current_state()
self.parent.pbnNext.setEnabled(self.is_ready_to_next_step())
# Open edit panel directly
edit_button.click()
def cancel_button_clicked(self):
"""Action for cancel button clicked."""
# Change mode
self.mode = CHOOSE_MODE
# Enable all edit buttons and combo boxes
for i in range(len(self.exposures)):
if i == self.special_case_index:
self.exposure_edit_buttons[i].setEnabled(False)
self.exposure_combo_boxes[i].setEnabled(False)
continue
if self.get_classification(self.exposure_combo_boxes[i]):
self.exposure_edit_buttons[i].setEnabled(True)
else:
self.exposure_edit_buttons[i].setEnabled(False)
# self.exposure_edit_buttons[i].setText(tr('Edit'))
self.exposure_combo_boxes[i].setEnabled(True)
# Clear right panel
clear_layout(self.right_layout)
# Show current state
self.show_current_state()
# Unset active exposure
self.active_exposure = None
self.parent.pbnNext.setEnabled(self.is_ready_to_next_step())
def edit_button_clicked(self, edit_button, exposure_combo_box, exposure):
"""Method to handle when an edit button is clicked.
:param edit_button: The edit button.
:type edit_button: QPushButton
:param exposure_combo_box: The combo box of the exposure, contains
list of classifications.
:type exposure_combo_box: QComboBox
:param exposure: Exposure definition.
:type exposure: dict
"""
# Note(IS): Do not change the text of edit button for now until we
# have better behaviour.
classification = self.get_classification(exposure_combo_box)
if self.mode == CHOOSE_MODE:
# Change mode
self.mode = EDIT_MODE
# Set active exposure
self.active_exposure = exposure
# Disable all edit button
for exposure_edit_button in self.exposure_edit_buttons:
exposure_edit_button.setEnabled(False)
# Except one that was clicked
# edit_button.setEnabled(True)
# Disable all combo box
for exposure_combo_box in self.exposure_combo_boxes:
exposure_combo_box.setEnabled(False)
# Change the edit button to cancel
# edit_button.setText(tr('Cancel'))
# Clear right panel
clear_layout(self.right_layout)
# Show edit threshold or value mapping
if self.layer_mode == layer_mode_continuous:
self.setup_thresholds_panel(classification)
else:
self.setup_value_mapping_panels(classification)
self.add_buttons(classification)
elif self.mode == EDIT_MODE:
# Behave the same as cancel button clicked.
self.cancel_button_clicked()
self.parent.pbnNext.setEnabled(self.is_ready_to_next_step())
def edit_button_clicked(self, edit_button, exposure_combo_box, exposure):
"""Method to handle when an edit button is clicked.
:param edit_button: The edit button.
:type edit_button: QPushButton
:param exposure_combo_box: The combo box of the exposure, contains
list of classifications.
:type exposure_combo_box: QComboBox
:param exposure: Exposure definition.
:type exposure: dict
"""
# Note(IS): Do not change the text of edit button for now until we
# have better behaviour.
classification = self.get_classification(exposure_combo_box)
if self.mode == CHOOSE_MODE:
# Change mode
self.mode = EDIT_MODE
# Set active exposure
self.active_exposure = exposure
# Disable all edit button
for exposure_edit_button in self.exposure_edit_buttons:
exposure_edit_button.setEnabled(False)
# Except one that was clicked
# edit_button.setEnabled(True)
# Disable all combo box
for exposure_combo_box in self.exposure_combo_boxes:
exposure_combo_box.setEnabled(False)
# Change the edit button to cancel
# edit_button.setText(tr('Cancel'))
# Clear right panel
clear_layout(self.right_layout)
# Show edit threshold or value mapping
if self.layer_mode == layer_mode_continuous:
self.setup_thresholds_panel(classification)
else:
self.setup_value_mapping_panels(classification)
self.add_buttons(classification)
elif self.mode == EDIT_MODE:
# Behave the same as cancel button clicked.
self.cancel_button_clicked()
self.parent.pbnNext.setEnabled(self.is_ready_to_next_step())
def clear(self):
"""Clear current state."""
self.exposures = []
self.exposure_labels = []
self.exposure_combo_boxes = []
self.exposure_edit_buttons = []
self.mode = CHOOSE_MODE
self.layer_purpose = None
self.layer_mode = None
self.special_case_index = None
self.value_maps = {}
self.thresholds = {}
# Temporary attributes
self.threshold_classes = OrderedDict()
self.active_exposure = None
self.list_unique_values = None
self.tree_mapping_widget = None
clear_layout(self.left_layout)
clear_layout(self.right_layout)
def clear(self):
"""Clear current state."""
self.exposures = []
self.exposure_labels = []
self.exposure_combo_boxes = []
self.exposure_edit_buttons = []
self.mode = CHOOSE_MODE
self.layer_purpose = None
self.layer_mode = None
self.special_case_index = None
self.value_maps = {}
self.thresholds = {}
# Temporary attributes
self.threshold_classes = OrderedDict()
self.active_exposure = None
self.list_unique_values = None
self.tree_mapping_widget = None
clear_layout(self.left_layout)
clear_layout(self.right_layout)
def set_widgets(self):
"""Set widgets on the Threshold tab."""
clear_layout(self.gridLayoutThreshold)
# Set text in the label
layer_purpose = self.parent.step_kw_purpose.selected_purpose()
layer_subcategory = self.parent.step_kw_subcategory.\
selected_subcategory()
classification = self.parent.step_kw_classification. \
selected_classification()
if is_raster_layer(self.parent.layer):
statistics = self.parent.layer.dataProvider().bandStatistics(
1, QgsRasterBandStats.All, self.parent.layer.extent(), 0)
text = continuous_raster_question % (
layer_purpose['name'],
layer_subcategory['name'],
classification['name'],
statistics.minimumValue,
statistics.maximumValue)
else:
field_name = self.parent.step_kw_field.selected_fields()
field_index = self.parent.layer.fields().lookupField(field_name)
min_value_layer = self.parent.layer.minimumValue(field_index)
max_value_layer = self.parent.layer.maximumValue(field_index)
text = continuous_vector_question % (
layer_purpose['name'],
layer_subcategory['name'],
field_name,
classification['name'],
min_value_layer,
max_value_layer)
self.lblThreshold.setText(text)
thresholds = self.parent.get_existing_keyword('thresholds')
selected_unit = self.parent.step_kw_unit.selected_unit()['key']
self.classes = OrderedDict()
classes = classification.get('classes')
# Sort by value, put the lowest first
classes = sorted(classes, key=lambda k: k['value'])
for i, the_class in enumerate(classes):
class_layout = QHBoxLayout()
# Class label
class_label = QLabel(the_class['name'])
# Min label
min_label = QLabel(tr('Min >'))
# Min value as double spin
min_value_input = QDoubleSpinBox()
# TODO(IS) We can set the min and max depends on the unit, later
min_value_input.setMinimum(0)
min_value_input.setMaximum(999999)
if thresholds.get(the_class['key']):
min_value_input.setValue(thresholds[the_class['key']][0])
else:
default_min = the_class['numeric_default_min']
if isinstance(default_min, dict):
default_min = the_class[
'numeric_default_min'][selected_unit]
min_value_input.setValue(default_min)
min_value_input.setSingleStep(0.1)
# Max label
max_label = QLabel(tr('Max <='))
# Max value as double spin
max_value_input = QDoubleSpinBox()
# TODO(IS) We can set the min and max depends on the unit, later
max_value_input.setMinimum(0)
max_value_input.setMaximum(999999)
if thresholds.get(the_class['key']):
max_value_input.setValue(thresholds[the_class['key']][1])
else:
default_max = the_class['numeric_default_max']
if isinstance(default_max, dict):
default_max = the_class[
'numeric_default_max'][selected_unit]
max_value_input.setValue(default_max)
max_value_input.setSingleStep(0.1)
# Add to class_layout
class_layout.addWidget(min_label)
class_layout.addWidget(min_value_input)
# class_layout.addStretch(1)
class_layout.addWidget(max_label)
class_layout.addWidget(max_value_input)
# Add to grid_layout
self.gridLayoutThreshold.addWidget(class_label, i, 0)
self.gridLayoutThreshold.addLayout(class_layout, i, 1)
self.classes[the_class['key']] = [min_value_input, max_value_input]
self.gridLayoutThreshold.setSpacing(0)
def min_max_changed(index, the_string):
"""Slot when min or max value change.
:param index: The index of the double spin.
:type index: int
:param the_string: The flag to indicate the min or max value.
:type the_string: str
"""
if the_string == 'Max value':
current_max_value = list(self.classes.values())[index][1]
target_min_value = list(self.classes.values())[index + 1][0]
if current_max_value.value() != target_min_value.value():
target_min_value.setValue(current_max_value.value())
elif the_string == 'Min value':
current_min_value = list(self.classes.values())[index][0]
target_max_value = list(self.classes.values())[index - 1][1]
if current_min_value.value() != target_max_value.value():
target_max_value.setValue(current_min_value.value())
# Set behaviour
for k, v in list(self.classes.items()):
index = list(self.classes.keys()).index(k)
if index < len(self.classes) - 1:
# Max value changed
v[1].valueChanged.connect(partial(
min_max_changed, index=index, the_string='Max value'))
if index > 0:
# Min value
v[0].valueChanged.connect(partial(
min_max_changed, index=index, the_string='Min value'))
def set_widgets(self):
"""Set widgets on the Threshold tab."""
clear_layout(self.gridLayoutThreshold)
# Set text in the label
layer_purpose = self.parent.step_kw_purpose.selected_purpose()
layer_subcategory = self.parent.step_kw_subcategory.\
selected_subcategory()
classification = self.parent.step_kw_classification. \
selected_classification()
if is_raster_layer(self.parent.layer):
statistics = self.parent.layer.dataProvider().bandStatistics(
1, QgsRasterBandStats.All, self.parent.layer.extent(), 0)
text = continuous_raster_question % (
layer_purpose['name'],
layer_subcategory['name'],
classification['name'],
statistics.minimumValue,
statistics.maximumValue)
else:
field_name = self.parent.step_kw_field.selected_fields()
field_index = self.parent.layer.fields().lookupField(field_name)
min_value_layer = self.parent.layer.minimumValue(field_index)
max_value_layer = self.parent.layer.maximumValue(field_index)
text = continuous_vector_question % (
layer_purpose['name'],
layer_subcategory['name'],
field_name,
classification['name'],
min_value_layer,
max_value_layer)
self.lblThreshold.setText(text)
thresholds = self.parent.get_existing_keyword('thresholds')
selected_unit = self.parent.step_kw_unit.selected_unit()['key']
self.classes = OrderedDict()
classes = classification.get('classes')
# Sort by value, put the lowest first
classes = sorted(classes, key=lambda k: k['value'])
for i, the_class in enumerate(classes):
class_layout = QHBoxLayout()
# Class label
class_label = QLabel(the_class['name'])
# Min label
min_label = QLabel(tr('Min >'))
# Min value as double spin
min_value_input = QDoubleSpinBox()
# TODO(IS) We can set the min and max depends on the unit, later
min_value_input.setMinimum(0)
min_value_input.setMaximum(999999)
if thresholds.get(the_class['key']):
min_value_input.setValue(thresholds[the_class['key']][0])
else:
default_min = the_class['numeric_default_min']
if isinstance(default_min, dict):
default_min = the_class[
'numeric_default_min'][selected_unit]
min_value_input.setValue(default_min)
min_value_input.setSingleStep(0.1)
# Max label
max_label = QLabel(tr('Max <='))
# Max value as double spin
max_value_input = QDoubleSpinBox()
# TODO(IS) We can set the min and max depends on the unit, later
max_value_input.setMinimum(0)
max_value_input.setMaximum(999999)
if thresholds.get(the_class['key']):
max_value_input.setValue(thresholds[the_class['key']][1])
else:
default_max = the_class['numeric_default_max']
if isinstance(default_max, dict):
default_max = the_class[
'numeric_default_max'][selected_unit]
max_value_input.setValue(default_max)
max_value_input.setSingleStep(0.1)
# Add to class_layout
class_layout.addWidget(min_label)
class_layout.addWidget(min_value_input)
# class_layout.addStretch(1)
class_layout.addWidget(max_label)
class_layout.addWidget(max_value_input)
# Add to grid_layout
self.gridLayoutThreshold.addWidget(class_label, i, 0)
self.gridLayoutThreshold.addLayout(class_layout, i, 1)
self.classes[the_class['key']] = [min_value_input, max_value_input]
self.gridLayoutThreshold.setSpacing(0)
def min_max_changed(index, the_string):
"""Slot when min or max value change.
:param index: The index of the double spin.
:type index: int
:param the_string: The flag to indicate the min or max value.
:type the_string: str
"""
if the_string == 'Max value':
current_max_value = list(self.classes.values())[index][1]
target_min_value = list(self.classes.values())[index + 1][0]
if current_max_value.value() != target_min_value.value():
target_min_value.setValue(current_max_value.value())
elif the_string == 'Min value':
current_min_value = list(self.classes.values())[index][0]
target_max_value = list(self.classes.values())[index - 1][1]
if current_min_value.value() != target_max_value.value():
target_max_value.setValue(current_min_value.value())
# Set behaviour
for k, v in list(self.classes.items()):
index = list(self.classes.keys()).index(k)
if index < len(self.classes) - 1:
# Max value changed
v[1].valueChanged.connect(partial(
min_max_changed, index=index, the_string='Max value'))
if index > 0:
# Min value
v[0].valueChanged.connect(partial(
min_max_changed, index=index, the_string='Min value'))
