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