def console_connect(self) -> None:
"""Turn the OS command line (stdout) log to console."""
logger.info("Connect to GUI console.")
XStream.stdout().message_written.connect(self.__append_to_console)
self.console_connect_button.setEnabled(False)
self.console_disconnect_button.setEnabled(True)
logger.info("Connect to GUI console.")
def __close_work(self) -> None:
"""Close the thread."""
if not self.work.isRunning():
return
self.stop_signal.emit()
logger.info("The thread has been canceled.")
self.work.wait()
def load_example(self, is_import: bool = False) -> bool:
"""Load example to new workbook."""
# load example by expression
example_name, ok = QInputDialog.getItem(self, "Examples",
"Select an example to load:",
sorted(example_list), 0, False)
if not ok:
return False
if not is_import:
self.reset()
self.main_clear()
if self.prefer.open_project_actions_option == 1:
self.command_stack.beginMacro("Add mechanism")
expr, inputs = example_list[example_name]
self.parse_expression(expr)
if not is_import:
if self.prefer.open_project_actions_option == 1:
self.command_stack.endMacro()
self.command_stack.beginMacro("Add inputs data")
# Import without inputs data
self.load_inputs(inputs)
if self.prefer.open_project_actions_option == 0:
self.command_stack.clear()
self.command_stack.setUndoLimit(self.prefer.undo_limit_option)
elif self.prefer.open_project_actions_option == 1:
self.command_stack.endMacro()
self.set_file_name(example_name, is_example=True)
self.workbook_saved()
logger.info(f"Example \"{example_name}\" has been loaded.")
return True
def new_main_window() -> None:
"""Start a new window."""
w = type(self)()
if not ARGUMENTS.debug_mode:
w.console_connect()
w.show()
logger.info("New window started.")
def console_disconnect(self) -> None:
"""Turn the console log to OS command line (stdout)."""
logger.info("Disconnect from GUI console.")
XStream.back()
self.console_connect_button.setEnabled(True)
self.console_disconnect_button.setEnabled(False)
logger.info("Disconnect from GUI console.")
def __algorithm(self) -> Dict[str, Any]:
"""Get the algorithm result."""
t0 = perf_counter()
expression, tf = self.__generate_process()
time_spend = perf_counter() - t0
cpu_info = cpu.info[0]
last_gen = tf[-1][0]
mechanism = {
'Algorithm': self.type_num.value,
'time': time_spend,
'last_gen': last_gen,
'last_fitness': tf[-1][1],
'interrupted': str(last_gen) if self.is_stop else 'False',
'settings': self.settings,
'hardware_info': {
'os':
f"{system()} {release()} {machine()}",
'memory':
f"{virtual_memory().total / (1 << 30):.04f} GB",
'cpu':
cpu_info.get("model name",
cpu_info.get('ProcessorNameString', '')),
},
'time_fitness': tf,
}
mechanism.update(self.mech_params)
mechanism['Expression'] = expression
logger.info(f"cost time: {time_spend:.02f} [s]")
return mechanism
def __path_dlg(self, item: QListWidgetItem) -> None:
"""View path data."""
name = item.text().split(":")[0]
try:
data = self.__path_data[name]
except KeyError:
return
points_text = ", ".join(f"Point{i}" for i in range(len(data)))
if QMessageBox.question(self, "Path data",
f"This path data including {points_text}.",
(QMessageBox.Save | QMessageBox.Close),
QMessageBox.Close) != QMessageBox.Save:
return
file_name = self.output_to(
"path data",
["Comma-Separated Values (*.csv)", "Text file (*.txt)"])
if not file_name:
return
with open(file_name, 'w', encoding='utf-8', newline='') as stream:
writer = csv.writer(stream)
for point in data:
for coordinate in point:
writer.writerow(coordinate)
writer.writerow(())
logger.info(f"Output path data: {file_name}")
def save_reply_box(self, title: str, file_name: str) -> None:
"""Show message when successfully saved."""
size = size_format(QFileInfo(file_name).size())
QMessageBox.information(
self, f"Initial Saved: {title}",
f"Successfully saved:\n{file_name}\n"
f"Size: {size}")
logger.info(f"Saved: [\"{file_name}\"] ({size})")
def closeEvent(self, event: QCloseEvent) -> None:
"""Close event to avoid user close the window accidentally."""
if self.check_file_changed():
event.ignore()
return
if self.inputs_widget.inputs_play_shaft.isActive():
self.inputs_widget.inputs_play_shaft.stop()
self.save_settings()
XStream.back()
logger.info("Exit")
event.accept()
def run(self) -> None:
"""Start the algorithm loop."""
for name, path in self.mech_params['Target'].items():
logger.debug(f"- [P{name}] ({len(path)})")
t0 = perf_counter()
for self.current_loop in range(self.loop):
logger.info(
f"Algorithm [{self.current_loop + 1}]: {self.type_num}")
if self.is_stop:
# Cancel the remaining tasks
logger.info("Canceled.")
continue
self.result.emit(self.__algorithm())
logger.info(f"total cost time: {perf_counter() - t0:.02f} [s]")
self.finished.emit()
def __interrupt(self) -> None:
"""Interrupt the process."""
if self.work.isRunning():
self.stop_signal.emit()
logger.info("The thread has been interrupted.")
def load_data(self, file_name: str, data: Dict[str, Any]) -> None:
"""Load file method."""
self.main_clear()
ver = data.get('pyslvs_ver', "")
if ver:
logger.info(f"Load data from Pyslvs {ver}")
del ver
dlg = QProgressDialog("Loading project", "Cancel", 0, 8, self.parent())
dlg.setLabelText("Reading file ...")
dlg.show()
# Mechanism data
dlg.setValue(1)
dlg.setLabelText("Loading mechanism ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add mechanism")
links_data: Dict[str, str] = data.get('links', {})
self.add_empty_links(links_data)
mechanism_data: str = data.get('mechanism', "")
self.parse_expression(mechanism_data)
self.__end_group()
# Input data
dlg.setValue(2)
dlg.setLabelText("Loading inputs data ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add inputs data")
input_data: List[Dict[str, int]] = data.get('input', [])
i_attr = []
for b, d in input_data:
QCoreApplication.processEvents()
i_attr.append((b, d))
self.load_inputs(i_attr)
self.__end_group()
# Storage data
dlg.setValue(3)
dlg.setLabelText("Loading storage ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add storage")
storage_data: Dict[str, str] = data.get('storage', {})
self.load_storage(storage_data)
self.__end_group()
# Path data
dlg.setValue(4)
dlg.setLabelText("Loading paths ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add paths")
path_data: Dict[str, Sequence[Tuple[float,
float]]] = data.get('path', {})
self.load_paths(path_data)
self.__end_group()
# Collection data
dlg.setValue(5)
dlg.setLabelText("Loading graph collections ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add graph collections")
collection_data: List[Tuple[Tuple[int, int],
...]] = data.get('collection', [])
self.load_collections(collection_data)
self.__end_group()
# Configuration data
dlg.setValue(6)
dlg.setLabelText("Loading synthesis configurations ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add synthesis configurations")
config_data: Dict[str, Dict[str, Any]] = data.get('triangle', {})
self.load_config(config_data)
self.__end_group()
# Algorithm data
dlg.setValue(7)
dlg.setLabelText("Loading synthesis results ...")
if dlg.wasCanceled():
dlg.deleteLater()
return self.main_clear()
self.__set_group("Add synthesis results")
algorithm_data: List[Dict[str, Any]] = data.get('algorithm', [])
self.load_algorithm(algorithm_data)
self.__end_group()
# Workbook loaded
dlg.setValue(8)
dlg.deleteLater()
# File type option align (ignore previous one)
self.prefer.file_type_option = data.get('file_type', 0)
# Show overview dialog
dlg = OverviewDialog(self.parent(),
QFileInfo(file_name).baseName(), storage_data,
i_attr, path_data, collection_data, config_data,
algorithm_data)
dlg.show()
dlg.exec_()
dlg.deleteLater()
def __new_workbook(self) -> None:
"""Create (Clean) a new workbook."""
if self.check_file_changed():
return
self.clear()
logger.info("Created a new workbook.")
