优化<数据粗同步>的代码
This commit is contained in:
@ -115,7 +115,7 @@ class SettingWindow(QMainWindow):
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"Input_Abd": str((Path(self.root_path) / ConfigParams.PUBLIC_PATH_PSG_TEXT /
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Path(str(self.sampID)))),
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"Save": str((Path(self.root_path) / ConfigParams.PUBLIC_PATH_PSG_TEXT /
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Path(str(self.sampID)) / Path(ConfigParams.APPROXIMATELY_ALIGN_SAVE_FILENAME +
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Path(str(self.sampID)) / Path(ConfigParams.APPROXIMATELY_ALIGN_INFO +
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ConfigParams.ENDSWITH_CSV)))
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},
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"orgBcgConfig": {},
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@ -171,28 +171,28 @@ class SettingWindow(QMainWindow):
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str((Path(self.root_path) /
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ConfigParams.PUBLIC_PATH_ORGBCG_TEXT /
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Path(str(self.sampID)) /
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Path(ConfigParams.APPROXIMATELY_ALIGN_INPUT_ORGBCG_FILENAME +
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Path(ConfigParams.ORGBCG_RAW +
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str(self.ui.spinBox_input_orgBcg_freq.value()) +
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ConfigParams.ENDSWITH_TXT))))
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self.ui.plainTextEdit_file_path_input_Tho.setPlainText(
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str((Path(self.root_path) /
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ConfigParams.PUBLIC_PATH_PSG_TEXT /
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Path(str(self.sampID)) /
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Path(ConfigParams.APPROXIMATELY_ALIGN_INPUT_THO_FILENAME +
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Path(ConfigParams.THO_RAW +
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str(self.ui.spinBox_input_Tho_freq.value()) +
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ConfigParams.ENDSWITH_TXT))))
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self.ui.plainTextEdit_file_path_input_Abd.setPlainText(
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str((Path(self.root_path) /
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ConfigParams.PUBLIC_PATH_PSG_TEXT /
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Path(str(self.sampID)) /
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Path(ConfigParams.APPROXIMATELY_ALIGN_INPUT_ABD_FILENAME +
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Path(ConfigParams.ABD_RAW +
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str(self.ui.spinBox_input_Abd_freq.value()) +
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ConfigParams.ENDSWITH_TXT))))
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self.ui.plainTextEdit_file_path_save.setPlainText(
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str((Path(self.root_path) /
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ConfigParams.PUBLIC_PATH_ORGBCG_TEXT /
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Path(str(self.sampID)) /
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Path(ConfigParams.APPROXIMATELY_ALIGN_SAVE_FILENAME +
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Path(ConfigParams.APPROXIMATELY_ALIGN_INFO +
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ConfigParams.ENDSWITH_CSV))))
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@ -928,87 +928,29 @@ class Data:
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def open_file(self):
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if Path(Config["Path"]["Input_orgBcg"]).is_file():
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Config["Path"]["Input_orgBcg"] = str(Path(Config["Path"]["Input_orgBcg"]).parent)
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if not Path(Config["Path"]["Input_orgBcg"]).exists():
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return Result().failure(
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info=Constants.INPUT_FAILURE + "orgBcg: " + Config["Path"]["Input_orgBcg"] + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_Path_Not_Exist"])
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temp_orgBcg_path = list(
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Path(Config["Path"]["Input_orgBcg"]).glob(f"{ConfigParams.APPROXIMATELY_ALIGN_INPUT_ORGBCG_FILENAME}*"))
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if len(temp_orgBcg_path) == 0:
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return Result().failure(
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info=Constants.INPUT_FAILURE + "orgBcg: " + Config["Path"]["Input_orgBcg"] + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_File_Not_Exist"])
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elif len(temp_orgBcg_path) > 1:
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return Result().failure(
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info=Constants.INPUT_FAILURE + "orgBcg: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_File_More_Than_One"])
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else:
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orgBcg_path = temp_orgBcg_path[0]
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Config["Path"]["Input_orgBcg"] = str(orgBcg_path)
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orgBcg_freq = orgBcg_path.stem.split("_")[-1]
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# 验证是否为整数或是否存在
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if not orgBcg_freq.isdigit():
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return Result().failure(
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info=Constants.INPUT_FAILURE + "orgBcg: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_Frequency_Not_In_Filename"])
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Config["InputConfig"]["orgBcgFreq"] = int(orgBcg_freq)
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if Path(Config["Path"]["Input_Tho"]).is_file():
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Config["Path"]["Input_Tho"] = str(Path(Config["Path"]["Input_Tho"]).parent)
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if not Path(Config["Path"]["Input_Tho"]).exists():
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Tho: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_Path_Not_Exist"])
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temp_Tho_path = list(
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Path(Config["Path"]["Input_Tho"]).glob(f"{ConfigParams.APPROXIMATELY_ALIGN_INPUT_THO_FILENAME}*"))
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if len(temp_Tho_path) == 0:
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Tho: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_File_Not_Exist"])
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elif len(temp_Tho_path) > 1:
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Tho: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_File_More_Than_One"])
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else:
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tho_path = temp_Tho_path[0]
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Config["Path"]["Input_Tho"] = str(tho_path)
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tho_freq = tho_path.stem.split("_")[-1]
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# 验证是否为整数或是否存在
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if not tho_freq.isdigit():
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Tho: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_Frequency_Not_In_Filename"])
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Config["InputConfig"]["ThoFreq"] = int(tho_freq)
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if Path(Config["Path"]["Input_Abd"]).is_file():
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Config["Path"]["Input_Abd"] = str(Path(Config["Path"]["Input_Abd"]).parent)
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if not Path(Config["Path"]["Input_Abd"]).exists():
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Abd: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_Path_Not_Exist"])
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temp_Abd_path = list(
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Path(Config["Path"]["Input_Abd"]).glob(f"{ConfigParams.APPROXIMATELY_ALIGN_INPUT_ABD_FILENAME}*"))
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if len(temp_Abd_path) == 0:
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Abd: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_File_Not_Exist"])
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elif len(temp_Abd_path) > 1:
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Abd: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_File_More_Than_One"])
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result = PublicFunc.examine_file(Config["Path"]["Input_orgBcg"], ConfigParams.ORGBCG_RAW)
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if result.status:
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Config["Path"]["Input_orgBcg"] = result.data["path"]
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Config["InputConfig"]["orgBcgFreq"] = result.data["freq"]
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else:
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abd_path = temp_Abd_path[0]
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Config["Path"]["Input_Abd"] = str(abd_path)
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abd_freq = abd_path.stem.split("_")[-1]
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# 验证是否为整数或是否存在
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if not abd_freq.isdigit():
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return Result().failure(
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info=Constants.INPUT_FAILURE + "Abd: " + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Data_Frequency_Not_In_Filename"])
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Config["InputConfig"]["AbdFreq"] = int(abd_freq)
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return result
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result = PublicFunc.examine_file(Config["Path"]["Input_Tho"], ConfigParams.THO_RAW)
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if result.status:
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Config["Path"]["Input_Tho"] = result.data["path"]
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Config["InputConfig"]["ThoFreq"] = result.data["freq"]
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else:
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return result
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result = PublicFunc.examine_file(Config["Path"]["Input_Abd"], ConfigParams.ABD_RAW)
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if result.status:
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Config["Path"]["Input_Abd"] = result.data["path"]
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Config["InputConfig"]["AbdFreq"] = result.data["freq"]
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else:
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return result
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try:
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self.raw_orgBcg = read_csv(Config["Path"]["Input_orgBcg"],
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@ -1021,8 +963,8 @@ class Data:
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encoding=ConfigParams.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 + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Read_Data_Exception"] + "\n" + format_exc())
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return Result().failure(info=Constants.INPUT_FAILURE + Constants.FAILURE_REASON[
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"Open_Data_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.INPUT_FINISHED)
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@ -1034,7 +976,7 @@ class Data:
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df = DataFrame({"pos": [pos], "epoch": [epoch], "ApplyFrequency": [ApplyFrequency]})
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df.to_csv(Path(Config["Path"]["Save"]), mode="w", header=True, index=False)
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except Exception as e:
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return Result().failure(info=Constants.SAVING_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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return Result().failure(info=Constants.SAVING_FAILURE + Constants.FAILURE_REASON[
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"Save_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.SAVING_FINISHED)
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@ -1043,8 +985,8 @@ class Data:
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# 仅重采样
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if self.raw_orgBcg is None or self.raw_Tho is None or self.raw_Abd is None:
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return Result().failure(
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info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Raw_Data_Not_Exist"])
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info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE + Constants.FAILURE_REASON[
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"Data_Not_Exist"])
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try:
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# 按照秒数进行截断
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self.raw_orgBcg = self.raw_orgBcg[:int(Config["orgBcg_seconds"] * Config["InputConfig"]["orgBcgFreq"])]
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@ -1057,7 +999,7 @@ class Data:
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self.processed_Abd = resample(self.raw_Abd, int(Config["PSG_seconds"] * Config["ApplyFrequency"]))
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE + Constants.FAILURE_REASON[
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"Only_Resample_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FINISHED)
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@ -1072,8 +1014,8 @@ class Data:
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if self.raw_orgBcg is None or self.raw_Tho is None or self.raw_Abd is None:
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return Result().failure(
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info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Raw_Data_Not_Exist"])
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info=Constants.APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE + Constants.FAILURE_REASON[
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"Data_Not_Exist"])
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try:
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# 滤波
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self.processed_orgBcg = butter_bandpass_filter(
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@ -1093,7 +1035,7 @@ class Data:
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Config["Filter"]["BandPassOrder"])
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_RESP_GET_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_RESP_GET_FAILURE + Constants.FAILURE_REASON[
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"Resp_Get_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_RESP_GET_FINISHED)
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@ -1118,7 +1060,7 @@ class Data:
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_PRE_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_PRE_ALIGN_RESAMPLE_FAILURE + Constants.FAILURE_REASON[
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"Pre_Resample_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_PRE_ALIGN_RESAMPLE_FINISHED)
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@ -1138,7 +1080,7 @@ class Data:
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self.processed_orgBcg, ones(int(4 * temp_frequency)) / int(4 * temp_frequency), mode='same')
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_DELETE_BASE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_DELETE_BASE_FAILURE + Constants.FAILURE_REASON[
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"Delete_Base_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_DELETE_BASE_FINISHED)
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@ -1155,7 +1097,7 @@ class Data:
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self.processed_orgBcg)
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_STANDARDIZE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_STANDARDIZE_FAILURE + Constants.FAILURE_REASON[
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"Standardize_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_STANDARDIZE_FINISHED)
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@ -1170,7 +1112,7 @@ class Data:
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self.processed_downsample_orgBcg = self.processed_orgBcg[::int(temp_frequency / Config["ApplyFrequency"])]
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_ALIGN_RESAMPLE_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_ALIGN_RESAMPLE_FAILURE + Constants.FAILURE_REASON[
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"Resample_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_ALIGN_RESAMPLE_FINISHED)
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@ -1197,7 +1139,7 @@ class Data:
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result = {"tho_relate": tho_relate, "tho_relate2": tho_relate2}
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except Exception as e:
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return Result().failure(info=Constants.APPROXIMATELY_CORRELATION_CALCULATE1_FAILURE +
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Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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Constants.FAILURE_REASON[
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"Calculate_Correlation1_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_CORRELATION_CALCULATE1_FINISHED, data=result)
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@ -1222,7 +1164,7 @@ class Data:
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result = {"abd_relate": abd_relate, "abd_relate2": abd_relate2}
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except Exception as e:
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return Result().failure(info=Constants.APPROXIMATELY_CORRELATION_CALCULATE2_FAILURE +
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Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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Constants.FAILURE_REASON[
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"Calculate_Correlation2_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_CORRELATION_CALCULATE2_FINISHED, data=result)
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@ -1241,7 +1183,7 @@ class Data:
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result = {"tho_max": tho_max, "tho_max2": tho_max2, "abd_max": abd_max, "abd_max2": abd_max2, "bias": bias}
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except Exception as e:
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return Result().failure(info=Constants.APPROXIMATELY_MAXVALUE_POS_CALCULATE_FAILURE +
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Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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Constants.FAILURE_REASON[
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"Calculate_Maxvalue_Pos_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_MAXVALUE_POS_CALCULATE_FINISHED, data=result)
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@ -1257,7 +1199,7 @@ class Data:
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result = {"epoch_min": epoch_min, "epoch_max": epoch_max}
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_EPOCH_GET_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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info=Constants.APPROXIMATELY_EPOCH_GET_FAILURE + Constants.FAILURE_REASON[
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"Get_Epoch_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_EPOCH_GET_FINISHED, data=result)
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@ -1307,7 +1249,7 @@ class Data:
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except Exception as e:
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return Result().failure(
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info=Constants.APPROXIMATELY_EPOCH_GET_FAILURE + Constants.APPROXIMATELY_ALIGN_FAILURE_REASON[
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"Get_Corr_By_Epoch"] + "\n" + format_exc())
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info=Constants.APPROXIMATELY_EPOCH_GET_FAILURE + Constants.FAILURE_REASON[
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"Get_Corr_By_Epoch_Exception"] + "\n" + format_exc())
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return Result().success(info=Constants.APPROXIMATELY_EPOCH_GET_FINISHED, data=result)
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@ -29,6 +29,7 @@ class ConfigParams:
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ACTION_ZOOM_SHORTCUT_KEY: str = "C"
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FONT: str = "Microsoft YaHei UI"
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# 文件命名
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ORGBCG_RAW: str = "OrgBCG_Raw_"
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ECG_RAW: str = "ECG II_Raw_"
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THO_RAW: str = "Effort Tho_Raw_"
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@ -38,6 +39,8 @@ class ConfigParams:
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SNORE_RAW: str = "Snore_Raw_"
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SPO2_RAW: str = "SpO2_Raw_"
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FIVE_CLASS_RAW: str = "5_class_Raw_"
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STARTTIME_RAW: str = "StartTime_Raw_"
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SA_LABEL_RAW: str = "SA Label_Raw_"
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BCG_FILTER: str = "BCG_Filter_"
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ECG_FILTER: str = "ECG_Filter_"
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JPEAK_REVISE: str = "Jpeak_revise_"
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@ -46,8 +49,11 @@ class ConfigParams:
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RPEAK_FINAL_CORRECTED: str = "Rpeak_final_corrected_"
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APPROXIMATELY_ALIGN_INFO: str = "Approximately_Align_Info"
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PRECISELY_ALIGN_INFO: str = "Precisely_Align_Info"
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ORGBCG_SYNC: str = "OrgBCG_Sync_"
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BCG_SYNC: str = "BCG_Sync_"
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ECG_SYNC: str = "ECG_Sync_"
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JPEAK_SYNC: str = "Jpeak_Sync_"
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RPEAK_SYNC: str = "Rpeak_Sync_"
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ORGBCG_SYNC: str = "OrgBCG_Sync_"
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THO_SYNC: str = "Effort Tho_Sync_"
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ABD_SYNC: str = "Effort Abd_Sync_"
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FLOWT_SYNC: str = "Flow T_Sync_"
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@ -55,12 +61,7 @@ class ConfigParams:
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SNORE_SYNC: str = "Snore_Sync_"
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SPO2_SYNC: str = "SpO2_Sync_"
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FIVE_CLASS_SYNC: str = "5_class_Sync_"
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BCG_SYNC: str = "BCG_Sync_"
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ECG_SYNC: str = "ECG_Sync_"
|
||||
JPEAK_SYNC: str = "Jpeak_Sync_"
|
||||
RPEAK_SYNC: str = "Rpeak_Sync_"
|
||||
|
||||
|
||||
SA_LABEL_SYNC: str = "SA Label_Sync_"
|
||||
|
||||
# 数据粗同步
|
||||
APPROXIMATELY_ALIGN_CONFIG_FILE_PATH: str = "./config/Config_approximately_align.yaml"
|
||||
@ -83,10 +84,6 @@ class ConfigParams:
|
||||
"window_epoch": 6
|
||||
}
|
||||
}
|
||||
APPROXIMATELY_ALIGN_INPUT_ORGBCG_FILENAME: str = "OrgBCG_Raw_"
|
||||
APPROXIMATELY_ALIGN_INPUT_THO_FILENAME: str = "Effort Tho_Raw_"
|
||||
APPROXIMATELY_ALIGN_INPUT_ABD_FILENAME: str = "Effort Abd_Raw_"
|
||||
APPROXIMATELY_ALIGN_SAVE_FILENAME: str = "Approximately_Align_Info"
|
||||
|
||||
# 预处理
|
||||
PREPROCESS_CONFIG_FILE_PATH: str = "./config/Config_preprocess.yaml"
|
||||
@ -200,9 +197,9 @@ class ConfigParams:
|
||||
"5_class": FIVE_CLASS_RAW
|
||||
},
|
||||
"LabelInput": {
|
||||
"SA Label": "SA Label_Raw"
|
||||
"SA Label": SA_LABEL_RAW
|
||||
},
|
||||
"StartTime": "StartTime_Raw",
|
||||
"StartTime": STARTTIME_RAW,
|
||||
"ChannelSave": {
|
||||
"Effort Tho": THO_SYNC,
|
||||
"Effort Abd": ABD_SYNC,
|
||||
@ -213,7 +210,7 @@ class ConfigParams:
|
||||
"5_class": FIVE_CLASS_SYNC
|
||||
},
|
||||
"LabelSave": {
|
||||
"SA Label": "SA Label_Sync"
|
||||
"SA Label": SA_LABEL_SYNC
|
||||
},
|
||||
"EndWith": {
|
||||
"Effort Tho": ENDSWITH_TXT,
|
||||
@ -231,6 +228,9 @@ class ConfigParams:
|
||||
CUT_PSG_SALABEL_EVENT: list = ["Hypopnea", "Central apnea", "Obstructive apnea", "Mixed apnea"]
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# 体动标注
|
||||
ARTIFACT_LABEL_CONFIG_FILE_PATH: str = "./config/Config_artifact_label.yaml"
|
||||
ARTIFACT_LABEL_CONFIG_NEW_CONTENT: dict = {
|
||||
|
||||
@ -103,6 +103,17 @@ class Constants:
|
||||
"Process_Exception": "(处理异常)",
|
||||
"Preprocess_Exception": "(预处理异常)",
|
||||
"Save_Exception": "(保存异常)",
|
||||
"Only_Resample_Exception": "(仅重采样异常)",
|
||||
"Resp_Get_Exception": "(呼吸提取异常)",
|
||||
"Pre_Resample_Exception": "(预重采样异常)",
|
||||
"Delete_Base_Exception": "(去基线异常)",
|
||||
"Standardize_Exception": "(标准化异常)",
|
||||
"Resample_Exception": "(重采样异常)",
|
||||
"Calculate_Correlation1_Exception": "(计算互相关1/2异常)",
|
||||
"Calculate_Correlation2_Exception": "(计算互相关2/2异常)",
|
||||
"Calculate_Maxvalue_Pos_Exception": "(计算最大值位置异常)",
|
||||
"Get_Epoch_Exception": "(获取epoch异常)",
|
||||
"Get_Corr_By_Epoch_Exception": "(通过epoch获取相关性异常)",
|
||||
"Predict_Exception": "(预测异常)",
|
||||
"Read_Model_Exception": "(读取模型异常)",
|
||||
"Calculate_Correlation_Value_Equal": "(计算相关性参数相同)",
|
||||
@ -121,6 +132,47 @@ class Constants:
|
||||
"cut_Rpeak_Not_Exist": "(切割后R峰不存在)"
|
||||
}
|
||||
|
||||
# 数据粗同步
|
||||
APPROXIMATELY_ONLY_ALIGN_RESAMPLING: str = "正在仅重采样"
|
||||
APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FINISHED: str = "仅重采样完成"
|
||||
APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE: str = "仅重采样失败"
|
||||
|
||||
APPROXIMATELY_RESP_GETTING: str = "正在呼吸提取"
|
||||
APPROXIMATELY_RESP_GET_FINISHED: str = "呼吸提取完成"
|
||||
APPROXIMATELY_RESP_GET_FAILURE: str = "呼吸提取失败"
|
||||
|
||||
APPROXIMATELY_PRE_ALIGN_RESAMPLING: str = "正在预重采样"
|
||||
APPROXIMATELY_PRE_ALIGN_RESAMPLE_FINISHED: str = "预重采样完成"
|
||||
APPROXIMATELY_PRE_ALIGN_RESAMPLE_FAILURE: str = "预重采样失败"
|
||||
|
||||
APPROXIMATELY_DELETING_BASE: str = "正在去基线"
|
||||
APPROXIMATELY_DELETE_BASE_FINISHED: str = "去基线完成"
|
||||
APPROXIMATELY_DELETE_BASE_FAILURE: str = "去基线失败"
|
||||
|
||||
APPROXIMATELY_STANDARDIZING: str = "正在标准化"
|
||||
APPROXIMATELY_STANDARDIZE_FINISHED: str = "标准化完成"
|
||||
APPROXIMATELY_STANDARDIZE_FAILURE: str = "标准化失败"
|
||||
|
||||
APPROXIMATELY_ALIGN_RESAMPLING: str = "正在重采样"
|
||||
APPROXIMATELY_ALIGN_RESAMPLE_FINISHED: str = "重采样完成"
|
||||
APPROXIMATELY_ALIGN_RESAMPLE_FAILURE: str = "重采样失败"
|
||||
|
||||
APPROXIMATELY_CORRELATION_CALCULATING1: str = "正在计算互相关1/2"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE1_FINISHED: str = "计算互相关1/2完成"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE1_FAILURE: str = "计算互相关1/2失败"
|
||||
|
||||
APPROXIMATELY_CORRELATION_CALCULATING2: str = "正在计算互相关2/2"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE2_FINISHED: str = "计算互相关2/2完成"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE2_FAILURE: str = "计算互相关2/2失败"
|
||||
|
||||
APPROXIMATELY_MAXVALUE_POS_CALCULATING: str = "正在计算最大值位置"
|
||||
APPROXIMATELY_MAXVALUE_POS_CALCULATE_FINISHED: str = "计算最大值位置完成"
|
||||
APPROXIMATELY_MAXVALUE_POS_CALCULATE_FAILURE: str = "计算最大值位置失败"
|
||||
|
||||
APPROXIMATELY_EPOCH_GETTING: str = "正在获取epoch"
|
||||
APPROXIMATELY_EPOCH_GET_FINISHED: str = "获取epoch完成"
|
||||
APPROXIMATELY_EPOCH_GET_FAILURE: str = "获取epoch失败"
|
||||
|
||||
# 预处理
|
||||
PREPROCESS_PLOT_LABEL_ORIGINAL_DATA: str = "Original_Data"
|
||||
PREPROCESS_PLOT_LABEL_PROCESSED_DATA: str = "Processed_Data"
|
||||
@ -251,67 +303,7 @@ class Constants:
|
||||
|
||||
|
||||
|
||||
# 数据粗同步
|
||||
APPROXIMATELY_ONLY_ALIGN_RESAMPLING: str = "正在仅重采样"
|
||||
APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FINISHED: str = "仅重采样完成"
|
||||
APPROXIMATELY_ONLY_ALIGN_RESAMPLE_FAILURE: str = "仅重采样失败"
|
||||
|
||||
APPROXIMATELY_RESP_GETTING: str = "正在呼吸提取"
|
||||
APPROXIMATELY_RESP_GET_FINISHED: str = "呼吸提取完成"
|
||||
APPROXIMATELY_RESP_GET_FAILURE: str = "呼吸提取失败"
|
||||
|
||||
APPROXIMATELY_PRE_ALIGN_RESAMPLING: str = "正在预重采样"
|
||||
APPROXIMATELY_PRE_ALIGN_RESAMPLE_FINISHED: str = "预重采样完成"
|
||||
APPROXIMATELY_PRE_ALIGN_RESAMPLE_FAILURE: str = "预重采样失败"
|
||||
|
||||
APPROXIMATELY_DELETING_BASE: str = "正在去基线"
|
||||
APPROXIMATELY_DELETE_BASE_FINISHED: str = "去基线完成"
|
||||
APPROXIMATELY_DELETE_BASE_FAILURE: str = "去基线失败"
|
||||
|
||||
APPROXIMATELY_STANDARDIZING: str = "正在标准化"
|
||||
APPROXIMATELY_STANDARDIZE_FINISHED: str = "标准化完成"
|
||||
APPROXIMATELY_STANDARDIZE_FAILURE: str = "标准化失败"
|
||||
|
||||
APPROXIMATELY_ALIGN_RESAMPLING: str = "正在重采样"
|
||||
APPROXIMATELY_ALIGN_RESAMPLE_FINISHED: str = "重采样完成"
|
||||
APPROXIMATELY_ALIGN_RESAMPLE_FAILURE: str = "重采样失败"
|
||||
|
||||
APPROXIMATELY_CORRELATION_CALCULATING1: str = "正在计算互相关1/2"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE1_FINISHED: str = "计算互相关1/2完成"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE1_FAILURE: str = "计算互相关1/2失败"
|
||||
|
||||
APPROXIMATELY_CORRELATION_CALCULATING2: str = "正在计算互相关2/2"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE2_FINISHED: str = "计算互相关2/2完成"
|
||||
APPROXIMATELY_CORRELATION_CALCULATE2_FAILURE: str = "计算互相关2/2失败"
|
||||
|
||||
APPROXIMATELY_MAXVALUE_POS_CALCULATING: str = "正在计算最大值位置"
|
||||
APPROXIMATELY_MAXVALUE_POS_CALCULATE_FINISHED: str = "计算最大值位置完成"
|
||||
APPROXIMATELY_MAXVALUE_POS_CALCULATE_FAILURE: str = "计算最大值位置失败"
|
||||
|
||||
APPROXIMATELY_EPOCH_GETTING: str = "正在获取epoch"
|
||||
APPROXIMATELY_EPOCH_GET_FINISHED: str = "获取epoch完成"
|
||||
APPROXIMATELY_EPOCH_GET_FAILURE: str = "获取epoch失败"
|
||||
|
||||
APPROXIMATELY_ALIGN_FAILURE_REASON = {
|
||||
"Data_Path_Not_Exist": "(路径不存在)",
|
||||
"Data_File_Not_Exist": "(数据文件不存在)",
|
||||
"Data_File_More_Than_One": "(数据文件超过一个)",
|
||||
"Data_Frequency_Not_In_Filename": "(数据频率不在文件名中)",
|
||||
"Read_Data_Exception": "(读取数据异常)",
|
||||
"Raw_Data_Not_Exist": "(原始数据不存在)",
|
||||
"Only_Resample_Exception": "(仅重采样异常)",
|
||||
"Resp_Get_Exception": "(呼吸提取异常)",
|
||||
"Pre_Resample_Exception": "(预重采样异常)",
|
||||
"Delete_Base_Exception": "(去基线异常)",
|
||||
"Standardize_Exception": "(标准化异常)",
|
||||
"Resample_Exception": "(重采样异常)",
|
||||
"Calculate_Correlation1_Exception": "(计算互相关1/2异常)",
|
||||
"Calculate_Correlation2_Exception": "(计算互相关2/2异常)",
|
||||
"Calculate_Maxvalue_Pos_Exception": "(计算最大值位置异常)",
|
||||
"Get_Epoch_Exception": "(获取epoch异常)",
|
||||
"Processed_Data_Not_Exist": "(处理后数据不存在)",
|
||||
"Save_Exception": "(保存异常)"
|
||||
}
|
||||
|
||||
# 体动标注
|
||||
ARTIFACT_LABEL_LOADING_ARCHIVE: str = "正在获取历史存档"
|
||||
|
||||
Reference in New Issue
Block a user