def __init__(self, parent = None):
super(LibgaGAT, self).__init__(parent)
uic.loadUi("libga_gat.ui", self)
# add our "ready" widget to the status bar
self.ready_panel = QtGui.QLabel()
self.statusBar().addWidget(self.ready_panel)
self.set_ready(False)
# add a progress bar to the status bar
self.progress = QtGui.QProgressBar()
self.progress.setStyleSheet("min-width:360px;max-width:360px")
self.progress.hide()
self.statusBar().addWidget(self.progress)
# add command button to the status bar
self.abort_button = QtGui.QCommandLinkButton("Abort optimization")
self.abort_button.hide()
self.statusBar().addWidget(self.abort_button)
self.abort_button.connect(self.abort_button
, QtCore.SIGNAL("clicked()")
, self.on_abort_button_clicked)
# display help page
self.browser.load(QtCore.QUrl("html/index.html"))
self.browser.page().setLinkDelegationPolicy(
QtWebKit.QWebPage.DelegateAllLinks)
self.browser.connect(self.browser
, QtCore.SIGNAL("linkClicked(QUrl)")
, self.on_browser_link_clicked)
# set header titles in properties pane (graph pick results)
self.objectives_list.setHorizontalHeaderItem(0, QtGui.QTableWidgetItem("value"))
self.variables_list.setHorizontalHeaderItem(0, QtGui.QTableWidgetItem("value"))
# just an initial empty plot
plot_layout = QtGui.QVBoxLayout()
self.plot_1 = Fitnessplot()
self.plot_2 = Paretoplot2D(pick_handler = self.on_plot_2_picked)
self.plot_3 = Paretoplot3D()
plot_layout.addWidget(self.plot_1)
plot_layout.addWidget(self.plot_2)
plot_layout.addWidget(self.plot_3)
self.plot_area.setLayout(plot_layout)
self.show_plot_1d()
# logger that displays messages in the UI 's output pane
self.logger = logging.getLogger("libga_gat")
self.logger.addHandler(LineEditLogger(self.output))
self.logger.setLevel(logging.INFO)
# since the host for our compute process is running in its own
# thread we need signals to trigger UI updates
self.logging_record_trigger.connect(self.on_logging_record)
self.data_update_trigger.connect(self.on_data_update)
class LibgaGAT(QtGui.QMainWindow):
# signal is emitted when this instance receives
# a logging record from the host thread. it is connected
# to self.on_logging_record which updates the UI.
logging_record_trigger = QtCore.pyqtSignal(str)
data_update_trigger = QtCore.pyqtSignal(str)
def __init__(self, parent = None):
super(LibgaGAT, self).__init__(parent)
uic.loadUi("libga_gat.ui", self)
# add our "ready" widget to the status bar
self.ready_panel = QtGui.QLabel()
self.statusBar().addWidget(self.ready_panel)
self.set_ready(False)
# add a progress bar to the status bar
self.progress = QtGui.QProgressBar()
self.progress.setStyleSheet("min-width:360px;max-width:360px")
self.progress.hide()
self.statusBar().addWidget(self.progress)
# add command button to the status bar
self.abort_button = QtGui.QCommandLinkButton("Abort optimization")
self.abort_button.hide()
self.statusBar().addWidget(self.abort_button)
self.abort_button.connect(self.abort_button
, QtCore.SIGNAL("clicked()")
, self.on_abort_button_clicked)
# display help page
self.browser.load(QtCore.QUrl("html/index.html"))
self.browser.page().setLinkDelegationPolicy(
QtWebKit.QWebPage.DelegateAllLinks)
self.browser.connect(self.browser
, QtCore.SIGNAL("linkClicked(QUrl)")
, self.on_browser_link_clicked)
# set header titles in properties pane (graph pick results)
self.objectives_list.setHorizontalHeaderItem(0, QtGui.QTableWidgetItem("value"))
self.variables_list.setHorizontalHeaderItem(0, QtGui.QTableWidgetItem("value"))
# just an initial empty plot
plot_layout = QtGui.QVBoxLayout()
self.plot_1 = Fitnessplot()
self.plot_2 = Paretoplot2D(pick_handler = self.on_plot_2_picked)
self.plot_3 = Paretoplot3D()
plot_layout.addWidget(self.plot_1)
plot_layout.addWidget(self.plot_2)
plot_layout.addWidget(self.plot_3)
self.plot_area.setLayout(plot_layout)
self.show_plot_1d()
# logger that displays messages in the UI 's output pane
self.logger = logging.getLogger("libga_gat")
self.logger.addHandler(LineEditLogger(self.output))
self.logger.setLevel(logging.INFO)
# since the host for our compute process is running in its own
# thread we need signals to trigger UI updates
self.logging_record_trigger.connect(self.on_logging_record)
self.data_update_trigger.connect(self.on_data_update)
def on_abort_button_clicked(self):
self.server.abort_process()
self.progress.hide()
self.abort_button.hide()
def on_plot_2_picked(self, picked_variables, picked_ospace):
if len(picked_variables) > 0 and len(picked_ospace) > 0:
self.objectives_list.setColumnCount(1)
self.objectives_list.setRowCount(len(picked_ospace))
for i in range(len(picked_ospace)):
self.objectives_list.setItem(i, 0, QtGui.QTableWidgetItem(\
QtCore.QString("{0}".format(picked_ospace[i]))))
self.objectives_list.resizeColumnsToContents()
self.variables_list.setColumnCount(1)
self.variables_list.setRowCount(len(picked_variables))
for i in range(len(picked_variables)):
self.variables_list.setItem(i, 0, QtGui.QTableWidgetItem(\
QtCore.QString("{0}".format(picked_variables[i]))))
self.variables_list.resizeColumnsToContents()
def load_example_rastrigin_6(self):
self.objectives.setValue(1)
self.variables.setValue(4)
self.constraints_min_max_checked(True)
self.constraints_min.setText("-5.12")
self.constraints_max.setText("+5.12")
self.module.setText("../test_problems.py")
self.function.setText("rastrigin_6")
def load_example_kursawe(self):
self.objectives.setValue(2)
self.variables.setValue(4)
self.constraints_min_max_checked(True)
self.constraints_min.setText("-5")
self.constraints_max.setText("+5")
self.module.setText("../test_problems.py")
self.function.setText("kursawe")
self.view_x_axis.setValue(0)
self.view_y_axis.setValue(1)
def load_example_MOP5(self):
self.objectives.setValue(3)
self.variables.setValue(2)
self.constraints_min_max_checked(True)
self.constraints_min.setText("-30")
self.constraints_max.setText("+30")
self.module.setText("../test_problems.py")
self.function.setText("MOP5")
self.view_z_axis_check.setCheckState(QtCore.Qt.Checked)
self.view_z_axis.setEnabled(True)
self.view_x_axis.setValue(0)
self.view_y_axis.setValue(1)
self.view_z_axis.setValue(2)
def on_browser_link_clicked(self, url):
url = str(url.path())
if "libga_gat://" in url:
if "load_example_rastrigin_6" in url:
self.load_example_rastrigin_6()
return
if "load_example_kursawe" in url:
self.load_example_kursawe()
return
if "load_example_MOP5" in url:
self.load_example_MOP5()
return
# fitness plot for 1d problems
def show_plot_1d(self):
self.plot_1.show()
self.plot_2.hide()
self.plot_3.hide()
# just a simple initial (empty) 2d plot to give the user
# a clue of what to expect
def show_plot_2d(self):
self.plot_1.hide()
self.plot_2.show()
self.plot_3.hide()
# pareto plot for 3d problems
def show_plot_3d(self):
self.plot_1.hide()
self.plot_2.hide()
self.plot_3.show()
# if all data has been entered correctly the
# application is "ready". display that information in the status bar.
def set_ready(self, ready):
if ready:
self.ready_panel.setText("Ready - Start with Menu: Optimization > Run")
self.ready_panel.setStyleSheet(
"QLabel {background-color:blue;min-width:360px;"
+ "max-width:360px;padding-left:5px;"
+ "color:white}")
else:
self.ready_panel.setText("Not ready")
self.ready_panel.setStyleSheet(
"QLabel {background-color:orange;min-width:360px;"
+ "max-width:360px;padding-left:5px;"
+ "color:white}")
# display a question before closing the application
def closeEvent(self, event):
reply = QtGui.QMessageBox.question(self
, "Libga GAT", "Are you sure you want to quit?"
, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
if reply == QtGui.QMessageBox.Yes:
event.accept()
else:
event.ignore()
def copy_to_clipboard(self):
if self.objectives_list.rowCount() > 0:
ret = ""
for i in range(self.objectives_list.rowCount()):
ret = ret + str(self.objectives_list.item(i,0).text()) + " "
ret = ret + "\r\n"
for i in range(self.variables_list.rowCount()):
ret = ret + str(self.variables_list.item(i,0).text()) + " "
QtGui.QApplication.clipboard().setText(ret)
def filter_pareto_plot_checked(self, checked):
self.plot_2.filter_pareto_front = checked
self.plot_2.redraw()
def select_python_module(self):
module = QtGui.QFileDialog.getOpenFileName(self, "Select Python module", ".")
self.module.setText(module)
def select_constraints_file(self):
constraints = QtGui.QFileDialog.getOpenFileName(self, "Select constraints file", ".")
self.constraints_file.setText(constraints)
def population_changed(self, population):
self.elite.setMaximum(population)
self.archive.setMaximum(population)
# doesn't actually load the test problem module. that is
# verified when the user actually wants to run the optimizion.
def check_ready(self):
ready = self.module.text() != "" and self.function.text() != "" \
and os.path.exists(self.module.text()) \
and self.elite.value() < self.population.value() \
and self.archive.value() < self.population.value()
self.set_ready(ready)
self.actionRun.setEnabled(ready)
return ready
# some settings only make sense for one-dimensional
# or two-dimensional problems.
def objectives_changed(self, objectives):
if objectives == 1:
self.archive.setEnabled(False)
self.elite.setEnabled(True)
self.selection.setEnabled(True)
self.view_frame_0.setEnabled(False)
self.view_x_axis.setEnabled(False)
self.view_x_axis_label.setEnabled(False)
self.view_y_axis.setEnabled(False)
self.view_y_axis_label.setEnabled(False)
self.view_z_axis_check.setEnabled(False)
self.view_z_axis.setEnabled(False)
self.filter_pareto_front.setEnabled(False)
self.show_plot_1d()
self.plot_selection_label.setText("FITTEST")
else:
self.archive.setEnabled(True)
self.elite.setEnabled(False)
self.selection.setEnabled(False)
self.view_frame_0.setEnabled(True)
self.view_x_axis.setEnabled(True)
self.view_x_axis.setMaximum(objectives - 1)
self.view_x_axis_label.setEnabled(True)
self.view_y_axis.setEnabled(True)
self.view_y_axis.setMaximum(objectives - 1)
self.view_y_axis_label.setEnabled(True)
self.view_z_axis.setMaximum(objectives - 1)
self.view_z_axis_check.setEnabled(objectives > 2)
self.view_z_axis.setEnabled(objectives > 2 \
and self.view_z_axis_check.checkState())
self.filter_pareto_front.setEnabled(True)
if objectives == 2:
self.show_plot_2d()
else:
self.show_plot_3d()
self.plot_selection_label.setText("SELECTION")
def constraints_min_max_checked(self, checked):
if checked:
self.radioButton_2.setChecked(False)
self.constraints_min.setEnabled(True)
self.constraints_max.setEnabled(True)
self.constraints_file.setEnabled(False)
self.select_constraints_file_btn.setEnabled(False)
def constraints_from_file_checked(self, checked):
if checked:
self.radioButton.setChecked(False)
self.constraints_file.setEnabled(True)
self.constraints_min.setEnabled(False)
self.constraints_max.setEnabled(False)
self.select_constraints_file_btn.setEnabled(True)
def module_changed(self, module):
self.check_ready()
def function_changed(self, module):
self.check_ready()
def view_z_axis_checked(self, checked):
self.view_z_axis.setEnabled(checked)
# return the constraints for the selected problem in form of a
# numpy matrix - doesn't matter if constraints have been specified via
# numpy text file or min and max values in the UI.
def constraints_matrix(self):
assert self.check_ready()
if self.radioButton.isChecked():
minval = self.constraints_min.text().toFloat()[0]
maxval = self.constraints_max.text().toFloat()[0]
variables = self.variables.value()
return np.asarray([minval, maxval]*variables).reshape((variables, 2))
else:
filename = str(self.constraints_file.text())
c = np.loadtxt(filename)
if c.shape != [variables, 2]:
self.logger.info("Constraints file has the wrong shape. Must be a matrix "
+ "of type (variables x 2)")
return None
return c
# received a logging record. forward that to our instance logger.
# this has been triggered by a signal and is running in the UI thread.
def on_logging_record(self, contents):
msg = pickle.loads(str(contents))
if msg.levelno == logging.INFO:
self.logger.info(msg.msg)
return
if msg.levelno == logging.ERROR:
self.logger.error(msg.msg)
# received a new genome (new generation) from the optimization process.
# this has been triggered by a signal and is running in the UI thread.
def on_data_update(self, contents):
self.progress.setValue(self.progress.value() + 1)
genome_info = pickle.loads(str(contents))
if self.objectives.value() == 1:
# update info in the properties pane next
# to the plot
ospace = genome_info["ospace"]
fittest_index = min(enumerate(ospace), key=itemgetter(1))[0]
fittest = genome_info["genome"][fittest_index]
self.objectives_list.setRowCount(1)
self.objectives_list.setItem(0, 0, QtGui.QTableWidgetItem(\
QtCore.QString("{0}".format(ospace[fittest_index]))))
self.objectives_list.resizeColumnsToContents()
self.variables_list.setRowCount(len(fittest))
for i in range(len(fittest)):
self.variables_list.setItem(i, 0, QtGui.QTableWidgetItem(\
QtCore.QString("{0}".format(fittest[i]))))
self.variables_list.resizeColumnsToContents()
# plot new data
self.plot_1.data_update(genome_info)
else:
self.used_plot.filter_pareto_front = self.filter_pareto_front.checkState()
self.used_plot.data_update(genome_info)
# if we are done, then hide status bar and abort button
if self.progress.value() == self.generations.value():
self.progress.hide()
self.abort_button.hide()
# start a host thread and a compute process
def run_optimization(self):
if not self.check_ready():
self.logger.error("Libga GAT is NOT ready. Check settings")
return
# try to load module
mod_name = os.path.split(str(self.module.text()))[1]
try:
base = os.path.splitext(mod_name)[0]
mod = imp.load_source(base, str(self.module.text()))
except Exception as ex:
self.logger.error("Failed to load module " + str(self.module.text()))
self.logger.error("with exception " + str(ex))
return
# check if objective function exists
if not hasattr(mod, str(self.function.text())):
self.logger.error("Module has no function named " + str(self.function.text()))
return
# get a constraints matrix. this is None if the constraints file
# has the wrong shape. an error message has already been logged
# in this case.
constraints = self.constraints_matrix()
if constraints == None:
return
# show appropriate plot based on number of objectives.
# doesn't create a new plot instance, but resets view.
if self.objectives.value() == 1:
self.plot_1.clear()
self.show_plot_1d()
self.used_plot = self.plot_1
else:
if self.objectives.value() == 2:
self.plot_2.obj1 = self.view_x_axis.value()
self.plot_2.obj2 = self.view_y_axis.value()
self.plot_2.clear()
self.show_plot_2d()
self.used_plot = self.plot_2
else:
if self.objectives.value() > 2:
if self.view_z_axis_check.checkState():
self.plot_3.obj1 = self.view_x_axis.value()
self.plot_3.obj2 = self.view_y_axis.value()
self.plot_3.obj3 = self.view_z_axis.value()
self.plot_3.clear()
self.show_plot_3d()
self.used_plot = self.plot_3
else:
self.plot_2.obj1 = self.view_x_axis.value()
self.plot_2.obj2 = self.view_y_axis.value()
self.plot_2.clear()
self.show_plot_2d()
self.used_plot = self.plot_2
# a few changes in the UI for when the optimization is running
self.tabWidget.setCurrentIndex(1)
self.progress.setMinimum(0)
self.progress.setMaximum(self.generations.value())
self.progress.setValue(0)
self.progress.show()
self.abort_button.show()
# create the optimization process which actually is executing the test
# functions. ensures that the GUI won't crash if the tested objective
# function has a fault.
self.logger.info("Starting optimization process")
# call a helper function which starts the process and returns a
# server object wihch can communicate with this process.
# this needs almost each and every settings in the UI....
self.server = optimizationprocess.start_subprocess(
lambda pickled_str : self.logging_record_trigger.emit(pickled_str)
, lambda pickled_str : self.data_update_trigger.emit(pickled_str)
, mod_name, str(self.module.text()), str(self.function.text())
, self.objectives.value(), self.variables.value()
, constraints, int(self.population.text())
, self.generations.value(), self.elite.value()
, self.archive.value(), self.mutation.value()
, str(self.crossover.currentText()), str(self.selection.currentText()))
