from gc import collect from pathlib import Path from traceback import format_exc import matplotlib.pyplot as plt from PySide6.QtWidgets import QMessageBox, QMainWindow, QApplication from matplotlib import gridspec from matplotlib.backends.backend_qt import NavigationToolbar2QT from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg from overrides import overrides from pandas import read_csv, DataFrame from yaml import dump, load, FullLoader from func.utils.PublicFunc import PublicFunc from func.utils.Constants import Constants, ConfigParams from func.utils.Result import Result from func.utils.detect_Jpeak import preprocess, Jpeak_Detection from ui.MainWindow.MainWindow_detect_Jpeak import Ui_MainWindow_detect_Jpeak from ui.setting.detect_Jpeak_input_setting import Ui_MainWindow_detect_Jpeak_input_setting Config = { } ButtonState = { "Default": { "pushButton_input_setting": True, "pushButton_input": True, "pushButton_view": False, "pushButton_save": False }, "Current": { "pushButton_input_setting": True, "pushButton_input": True, "pushButton_view": False, "pushButton_save": False } } class SettingWindow(QMainWindow): def __init__(self, root_path, sampID): super(SettingWindow, self).__init__() self.ui = Ui_MainWindow_detect_Jpeak_input_setting() self.ui.setupUi(self) self.root_path = root_path self.sampID = sampID self.config = None self.__read_config__() self.ui.spinBox_input_freq.valueChanged.connect(self.__update_ui__) self.ui.pushButton_confirm.clicked.connect(self.__write_config__) self.ui.pushButton_cancel.clicked.connect(self.__rollback_config__) self.ui.pushButton_cancel.clicked.connect(self.close) def __read_config__(self): if not Path(ConfigParams.DETECT_JPEAK_CONFIG_FILE_PATH).exists(): with open(ConfigParams.DETECT_JPEAK_CONFIG_FILE_PATH, "w") as f: dump(ConfigParams.DETECT_JPEAK_CONFIG_NEW_CONTENT, f) with open(ConfigParams.DETECT_JPEAK_CONFIG_FILE_PATH, "r") as f: file_config = load(f.read(), Loader=FullLoader) Config.update(file_config) self.config = file_config Config.update({ "Path": { "Input": str((Path(self.root_path) / ConfigParams.PUBLIC_PATH_ORGBCG_TEXT / Path(str(self.sampID)))), "Save": str((Path(self.root_path) / ConfigParams.PUBLIC_PATH_ORGBCG_TEXT / Path(str(self.sampID)))) } }) # 数据回显 self.ui.spinBox_input_freq.setValue(Config["InputConfig"]["Freq"]) self.ui.plainTextEdit_file_path_input.setPlainText(Config["Path"]["Input"]) self.ui.plainTextEdit_deepmodel_path.setPlainText(Config["ModelFolderPath"]) self.ui.plainTextEdit_file_path_save.setPlainText(Config["Path"]["Save"]) def __write_config__(self): # 从界面写入配置 Config["InputConfig"]["Freq"] = self.ui.spinBox_input_freq.value() Config["Path"]["Input"] = self.ui.plainTextEdit_file_path_input.toPlainText() Config["Path"]["Save"] = self.ui.plainTextEdit_file_path_save.toPlainText() Config["ModelFolderPath"] = self.ui.plainTextEdit_deepmodel_path.toPlainText() # 保存配置到文件 self.config["InputConfig"]["Freq"] = self.ui.spinBox_input_freq.value() self.config["ModelFolderPath"] = self.ui.plainTextEdit_deepmodel_path.toPlainText() with open(ConfigParams.DETECT_JPEAK_CONFIG_FILE_PATH, "w") as f: dump(self.config, f) self.close() def __rollback_config__(self): self.__read_config__() def __update_ui__(self): self.ui.plainTextEdit_file_path_input.setPlainText( str((Path(self.root_path) / ConfigParams.PUBLIC_PATH_ORGBCG_TEXT / Path(str(self.sampID)) / Path(ConfigParams.BCG_FILTER + str(self.ui.spinBox_input_freq.value()) + ConfigParams.ENDSWITH_TXT)))) self.ui.plainTextEdit_file_path_save.setPlainText( str((Path(self.root_path) / ConfigParams.PUBLIC_PATH_PSG_TEXT / Path(str(self.sampID)) / Path(ConfigParams.JPEAK_REVISE + str(self.ui.spinBox_input_freq.value()) + ConfigParams.ENDSWITH_TXT)))) class MainWindow_detect_Jpeak(QMainWindow): def __init__(self): super(MainWindow_detect_Jpeak, self).__init__() self.ui = Ui_MainWindow_detect_Jpeak() self.ui.setupUi(self) self.root_path = None self.sampID = None self.data = None self.model = None self.setting = None # 初始化进度条 self.progressbar = None PublicFunc.add_progressbar(self) #初始化画框 self.fig = None self.canvas = None self.figToolbar = None self.gs = None self.ax0 = None self.msgBox = QMessageBox() self.msgBox.setWindowTitle(Constants.MAINWINDOW_MSGBOX_TITLE) @overrides def show(self, root_path, sampID): super().show() self.root_path = root_path self.sampID = sampID self.setting = SettingWindow(root_path, sampID) # 初始化画框 self.fig = plt.figure(figsize=(12, 9), dpi=100) self.canvas = FigureCanvasQTAgg(self.fig) self.figToolbar = NavigationToolbar2QT(self.canvas) for action in self.figToolbar.actions(): if action.text() == "Subplots" or action.text() == "Customize": self.figToolbar.removeAction(action) self.ui.verticalLayout_canvas.addWidget(self.canvas) self.ui.verticalLayout_canvas.addWidget(self.figToolbar) self.gs = gridspec.GridSpec(1, 1, height_ratios=[1]) self.fig.subplots_adjust(top=0.98, bottom=0.05, right=0.98, left=0.1, hspace=0, wspace=0) self.ax0 = self.fig.add_subplot(self.gs[0]) self.ax0.grid(True) self.ax0.xaxis.set_major_formatter(ConfigParams.FORMATTER) PublicFunc.__resetAllButton__(self, ButtonState) self.ui.doubleSpinBox_bandPassLow.setValue(Config["Filter"]["BandPassLow"]) self.ui.doubleSpinBox_bandPassHigh.setValue(Config["Filter"]["BandPassHigh"]) self.ui.spinBox_peaksValue.setValue(Config["PeaksValue"]) self.ui.doubleSpinBox_ampValue.setValue(Config["AmpValue"]) self.ui.spinBox_intervalLow.setValue(Config["IntervalLow"]) self.ui.spinBox_intervalHigh.setValue(Config["IntervalHigh"]) self.ui.checkBox_useCPU.setChecked(Config["UseCPU"]) self.ui.pushButton_input.clicked.connect(self.__slot_btn_input__) self.ui.pushButton_input_setting.clicked.connect(self.setting.show) self.ui.pushButton_view.clicked.connect(self.__slot_btn_view__) self.ui.pushButton_save.clicked.connect(self.__slot_btn_save__) self.ui.doubleSpinBox_bandPassLow.editingFinished.connect(self.__update_config__) self.ui.doubleSpinBox_bandPassHigh.editingFinished.connect(self.__update_config__) self.ui.spinBox_peaksValue.editingFinished.connect(self.__update_config__) self.ui.doubleSpinBox_ampValue.editingFinished.connect(self.__update_config__) self.ui.spinBox_intervalLow.editingFinished.connect(self.__update_config__) self.ui.spinBox_intervalHigh.editingFinished.connect(self.__update_config__) self.ui.checkBox_useCPU.stateChanged.connect(self.__update_config__) self.ui.comboBox_model.currentTextChanged.connect(self.__update_config__) @overrides def closeEvent(self, event): reply = QMessageBox.question(self, '确认', '确认退出吗？', QMessageBox.Yes | QMessageBox.No, QMessageBox.No) if reply == QMessageBox.Yes: PublicFunc.__disableAllButton__(self, ButtonState) PublicFunc.statusbar_show_msg(self, PublicFunc.format_status_msg(Constants.SHUTTING_DOWN)) QApplication.processEvents() # 清空画框 if self.ax0 is not None: self.ax0.clear() # 释放资源 del self.data del self.model self.fig.clf() plt.close(self.fig) self.deleteLater() collect() self.canvas = None event.accept() else: event.ignore() def __reset__(self): ButtonState["Current"].update(ButtonState["Default"].copy()) ButtonState["Current"]["pushButton_view"] = True def __plot__(self): # 清空画框 self.reset_axes() sender = self.sender() if sender == self.ui.pushButton_view: self.ax0.plot(self.data.processed_data, color=Constants.PLOT_COLOR_BLUE, label=Constants.DETECT_JPEAK_PLOT_LABEL_BCG) self.ax0.plot(self.data.peak, self.data.processed_data[self.data.peak], 'r.', label=Constants.DETECT_JPEAK_PLOT_LABEL_J_PEAKS) self.ax0.plot(self.data.interval, color=Constants.PLOT_COLOR_ORANGE, label=Constants.DETECT_JPEAK_PLOT_LABEL_INTERVAL) self.ax0.legend(loc=Constants.PLOT_UPPER_RIGHT) self.canvas.draw() return Result().success(info=Constants.DRAW_FINISHED) else: self.canvas.draw() return Result().failure(info=Constants.DRAW_FAILURE) def __update_config__(self): Config["Filter"]["BandPassLow"] = self.ui.doubleSpinBox_bandPassLow.value() Config["Filter"]["BandPassHigh"] = self.ui.doubleSpinBox_bandPassHigh.value() Config["PeaksValue"] = self.ui.spinBox_peaksValue.value() Config["AmpValue"] = self.ui.doubleSpinBox_ampValue.value() Config["IntervalLow"] = self.ui.spinBox_intervalLow.value() Config["IntervalHigh"] = self.ui.spinBox_intervalHigh.value() Config["UseCPU"] = self.ui.checkBox_useCPU.isChecked() Config["DetectMethod"] = self.ui.comboBox_model.currentText() def __slot_btn_input__(self): PublicFunc.__disableAllButton__(self, ButtonState) # 清空画框 self.reset_axes() self.canvas.draw() # 清空模型列表 self.ui.comboBox_model.clear() self.data = Data() self.model = Model() # 寻找模型 PublicFunc.progressbar_update(self, 1, 2, Constants.DETECT_JPEAK_LOADING_MODEL, 0) result = self.model.seek_model() if not result.status: PublicFunc.text_output(self.ui, "(1/2)" + result.info, Constants.TIPS_TYPE_ERROR) PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR) PublicFunc.finish_operation(self, ButtonState) return else: PublicFunc.text_output(self.ui, "(1/2)" + result.info, Constants.TIPS_TYPE_INFO) self.update_ui_comboBox_model(self.model.model_list) # 导入数据 PublicFunc.progressbar_update(self, 2, 2, Constants.INPUTTING_DATA, 10) result = self.data.open_file() if not result.status: PublicFunc.text_output(self.ui, "(2/2)" + result.info, Constants.TIPS_TYPE_ERROR) PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR) PublicFunc.finish_operation(self, ButtonState) return else: PublicFunc.text_output(self.ui, "(2/2)" + result.info, Constants.TIPS_TYPE_INFO) self.__reset__() PublicFunc.finish_operation(self, ButtonState) def __slot_btn_view__(self): PublicFunc.__disableAllButton__(self, ButtonState) # 数据预处理 PublicFunc.progressbar_update(self, 1, 3, Constants.PREPROCESSING_DATA, 0) result = self.data.preprocess() if not result.status: PublicFunc.text_output(self.ui, "(1/3)" + result.info, Constants.TIPS_TYPE_ERROR) PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR) PublicFunc.finish_operation(self, ButtonState) return else: PublicFunc.text_output(self.ui, "(1/3)" + result.info, Constants.TIPS_TYPE_INFO) # 预测峰值 PublicFunc.progressbar_update(self, 2, 3, Constants.DETECT_JPEAK_PREDICTING_PEAK, 10) self.model.selected_model = Config["DetectMethod"] result = self.data.predict_Jpeak(self.model) if not result.status: PublicFunc.text_output(self.ui, "(2/3)" + result.info, Constants.TIPS_TYPE_ERROR) PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR) PublicFunc.finish_operation(self, ButtonState) return else: PublicFunc.text_output(self.ui, "(2/3)" + result.info, Constants.TIPS_TYPE_INFO) PublicFunc.text_output(self.ui, Constants.DETECT_JPEAK_DATA_LENGTH_POINTS + str(len(self.data.raw_data)), Constants.TIPS_TYPE_INFO) PublicFunc.text_output(self.ui, Constants.DETECT_JPEAK_DURATION_MIN + str((len(self.data.raw_data) / Config["InputConfig"]["Freq"] / 60)), Constants.TIPS_TYPE_INFO) PublicFunc.text_output(self.ui, Constants.DETECT_JPEAK_PEAK_AMOUNT + str(len(self.data.peak)), Constants.TIPS_TYPE_INFO) # 绘图 PublicFunc.progressbar_update(self, 3, 3, Constants.DRAWING_DATA, 70) result = self.__plot__() if not result.status: PublicFunc.text_output(self.ui, "(3/3)" + result.info, Constants.TIPS_TYPE_ERROR) PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR) PublicFunc.finish_operation(self, ButtonState) return else: PublicFunc.text_output(self.ui, "(3/3)" + result.info, Constants.TIPS_TYPE_INFO) ButtonState["Current"]["pushButton_save"] = True PublicFunc.finish_operation(self, ButtonState) def __slot_btn_save__(self): reply = QMessageBox.question(self, Constants.QUESTION_TITLE, Constants.QUESTION_CONTENT + Config["Path"]["Save"], QMessageBox.Yes | QMessageBox.No, QMessageBox.Yes) if reply == QMessageBox.Yes: PublicFunc.__disableAllButton__(self, ButtonState) # 保存 PublicFunc.progressbar_update(self, 1, 1, Constants.SAVING_DATA, 0) total_rows = len(DataFrame(self.data.peak.reshape(-1))) chunk_size = ConfigParams.DETECT_JPEAK_SAVE_CHUNK_SIZE with open(Config["Path"]["Save"], 'w') as f: for start in range(0, total_rows, chunk_size): end = min(start + chunk_size, total_rows) chunk = DataFrame(self.data.peak.reshape(-1)).iloc[start:end] result = self.data.save(chunk) progress = int((end / total_rows) * 100) self.progressbar.setValue(progress) QApplication.processEvents() if not result.status: PublicFunc.text_output(self.ui, "(1/1)" + result.info, Constants.TIPS_TYPE_ERROR) PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR) PublicFunc.finish_operation(self, ButtonState) return else: PublicFunc.text_output(self.ui, "(1/1)" + result.info, Constants.TIPS_TYPE_INFO) PublicFunc.msgbox_output(self, result.info, Constants.TIPS_TYPE_INFO) PublicFunc.finish_operation(self, ButtonState) def reset_axes(self): self.ax0.clear() self.ax0.grid(True) self.ax0.xaxis.set_major_formatter(ConfigParams.FORMATTER) def update_ui_comboBox_model(self, model_list): self.ui.comboBox_model.clear() self.ui.comboBox_model.addItems(model_list) class Data: def __init__(self): self.raw_data = None self.processed_data = None self.peak = None self.interval = None def open_file(self): if Path(Config["Path"]["Input"]).is_file(): Config["Path"]["Input"] = str(Path(Config["Path"]["Input"]).parent) result = PublicFunc.examine_file(Config["Path"]["Input"], ConfigParams.BCG_FILTER, ConfigParams.ENDSWITH_TXT) if result.status: Config["Path"]["Input"] = result.data["path"] Config["InputConfig"]["Freq"] = result.data["freq"] Config["Path"]["Save"] = str( Path(Config["Path"]["Save"]) / Path(ConfigParams.JPEAK_REVISE + str(Config["InputConfig"]["Freq"]) + ConfigParams.ENDSWITH_TXT)) else: return result try: self.raw_data = read_csv(Config["Path"]["Input"], encoding=ConfigParams.UTF8_ENCODING, header=None).to_numpy().reshape(-1) except Exception as e: return Result().failure(info=Constants.INPUT_FAILURE + Constants.FAILURE_REASON["Open_Data_Exception"] + "\n" + format_exc()) return Result().success(info=Constants.INPUT_FINISHED) def preprocess(self): if self.raw_data is None: return Result().failure(info=Constants.PREPROCESS_FAILURE + Constants.FAILURE_REASON["Data_Not_Exist"]) try: self.processed_data = preprocess(self.raw_data, Config["InputConfig"]["Freq"], Config["Filter"]["BandPassLow"], Config["Filter"]["BandPassHigh"], Config["AmpValue"]) except Exception as e: return Result().failure(info=Constants.PREPROCESS_FAILURE + Constants.FAILURE_REASON["Preprocess_Exception"] + "\n" + format_exc()) return Result().success(info=Constants.PREPROCESS_FINISHED) def predict_Jpeak(self, model): if not (Path(model.model_folder_path) / Path(model.selected_model)).exists(): return Result().failure(info=Constants.DETECT_JPEAK_PREDICT_FAILURE + Constants.FAILURE_REASON["Model_File_Not_Exist"]) if self.processed_data is None: return Result().failure(info=Constants.DETECT_JPEAK_PREDICT_FAILURE + Constants.FAILURE_REASON["Data_Not_Exist"]) try: self.peak, self.interval = Jpeak_Detection(model.selected_model, Path(model.model_folder_path) / Path(model.selected_model), self.processed_data, Config["InputConfig"]["Freq"], Config["IntervalHigh"], Config["IntervalLow"], Config["PeaksValue"], Config["UseCPU"]) except Exception as e: return Result().failure(info=Constants.DETECT_JPEAK_PREDICT_FAILURE + Constants.FAILURE_REASON["Predict_Exception"] + "\n" + format_exc()) return Result().success(info=Constants.DETECT_JPEAK_PREDICT_FINISHED) def save(self, chunk): if (not Path(Config["Path"]["Save"]).parent.exists()) or (not Path(Config["Path"]["Save"]).parent.is_dir()): Path(Config["Path"]["Save"]).parent.mkdir(parents=True, exist_ok=True) if self.peak is None: return Result().failure(info=Constants.SAVE_FAILURE + Constants.FAILURE_REASON["Data_Not_Exist"]) try: chunk.to_csv(Config["Path"]["Save"], mode='a', index=False, header=False) except Exception as e: return Result().failure(info=Constants.SAVE_FAILURE + Constants.FAILURE_REASON["Save_Exception"] + "\n" + format_exc()) return Result().success(info=Constants.SAVE_FINISHED) class Model: def __init__(self): self.model_folder_path = Config["ModelFolderPath"] self.model_list = None self.selected_model_path = None self.selected_model = None def seek_model(self): if not Path(Config["ModelFolderPath"]).exists(): return Result().failure(info=Constants.DETECT_JPEAK_LOAD_FAILURE + Constants.FAILURE_REASON["Model_Path_Not_Exist"]) try: self.model_list = [file.name for file in Path(Config["ModelFolderPath"]).iterdir() if file.is_file()] if len(self.model_list) == 0: return Result().failure(info=Constants.FAILURE_REASON["Model_File_Not_Exist"]) except Exception as e: return Result().failure(info=Constants.DETECT_JPEAK_LOAD_FAILURE + Constants.FAILURE_REASON["Read_Model_Exception"] + "\n" + format_exc()) return Result().success(info=Constants.DETECT_JPEAK_LOAD_FINISHED)