v0.1.6.3(2024/06/18)

1. [current.py] 适配电机电流中速度使用hw_joint_vel_feedback的数据，取消对device_servo_vel_feedback的支持，后续所有涉及到速度相关的数据均已前者为准，现已完成对单轴和场景的适配

> ！！WARNING：目前版本的电机电流程序还支持DriverMaster采集的数据处理，等明确后，将不再支持，也即所有的电机电流数据（工业+协作），都是用诊断曲线来采集

.gitignore

@@ -4,3 +4,4 @@ aio/.idea/
 aio/code/__pycache__/
 aio/package/
 aio/venv
+aio/__pycache__/

aio/README.md

@@ -4,6 +4,7 @@
 1. 制动数据，单轴数据处理3min以内
 2. 电机电流数据，全部轴数据处理1min以内
 3. ISO激光数据整理，1min以内
+4. wavelogger波形处理，几乎不花费时间
 
 ### 使用方法
 
@@ -19,7 +20,7 @@
 
 ```
 pyinstaller.exe -F --version-file file_version_info.txt -i .\icon.ico .\aio.py -p .\brake.py -p .\current.py
-pyinstaller --noconfirm --onedir --windowed --add-data "C:/Users/Administrator/AppData/Local/Programs/Python/Python312/Lib/site-packages/customtkinter;customtkinter/" --version-file ..\assets\file_version_info.txt -i ..\assets\icon.ico ..\code\aio.py -p ..\code\brake.py -p ..\code\iso.py -p ..\code\current.py
+pyinstaller --noconfirm --onedir --windowed --add-data "C:/Users/Administrator/AppData/Local/Programs/Python/Python312/Lib/site-packages/customtkinter;customtkinter/" --version-file ..\assets\file_version_info.txt -i ..\assets\icon.ico ..\code\aio.py -p ..\code\brake.py -p ..\code\iso.py -p ..\code\current.py -p ..\code\wavelogger.py
 ```
 
 ---
@@ -92,6 +93,13 @@ pyinstaller --noconfirm --onedir --windowed --add-data "C:/Users/Administrator/A
 	c. ISO-V100.pdf
 	d. iso-results.xlsx
 
+#### wavelogger波形数据
+
+1. 需要提前将 .xdt 波形数据转换成 .csv 文件
+2. 组织目录下只允许有 .csv 文件，对文件夹无要求
+3. 运行结束后，会生成 result.xlsx 文件，结果按照 .csv 文件名存放
+4. 采集数据时，不同轮次数据时间间隔最好大于 2 倍的周期时间，否则会出现采集的轮数不正确的情况，但数据是完整的
+	
 #### 其他
 customtkinter的tabview组件不支持修改字体大小，可以参考 [Changing Font of a Tabview](https://github.com/TomSchimansky/CustomTkinter/issues/2296) 进行手动修改源码实现：
 	a. 运行 `pip show customtkinter`，获取到库的路径
@@ -180,32 +188,49 @@ v0.1.4(2024/06/06)
 6. 支持工业/协作两条产品线的电机电流数据处理，包括单轴，场景，max/avg计算
 
 v0.1.5(2024/06/12)
-1. [aio.py]: 主界面切换不同功能时保持placehold一致
-2. [brake.py]: 由于制动采集模板和内容的更改，适配了新的数据，更新了算法
-3. [aio.py]: 新增tabview组件，区分数据处理和自动化测试功能
-4. [aio.py]: 重新调整界面配色
-5. [aio.py]: 修改了write2textbox函数，定制化显示每一行的颜色，针对每一行可自定义输出内容颜色
-6. [brake.py/iso.py/current.py]: 由于第 5 点的更改，同时修改了其他文件相关引用的部分
-7. [aio.py]: 更改label/entry/optionmenu等控件的生成方式，使用循环实现，更加简洁和容易维护
-8. [aio.py]: 修改customtkinter库中C:\Users\Administrator\AppData\Local\Programs\Python\Python312\Lib\site-packages\customtkinter\windows\widgets\ctk_tabview.py文件，参考https://github.com/TomSchimansky/CustomTkinter/issues/2296，实现修改tabview组件的字体大小
-9. [aio.py]: 修改menu_main->menu_main_dp，menu_sub->menu_sub_dp，为后续其他tab功能按钮做扩展，是针对第三点做出的相应调整
-10. [layout.xlsx]: 添加了各个功能的流程图
+1. [aio.py] 主界面切换不同功能时保持placehold一致
+2. [brake.py] 由于制动采集模板和内容的更改，适配了新的数据，更新了算法
+3. [aio.py] 新增tabview组件，区分数据处理和自动化测试功能
+4. [aio.py] 重新调整界面配色
+5. [aio.py] 修改了write2textbox函数，定制化显示每一行的颜色，针对每一行可自定义输出内容颜色
+6. [brake.py/iso.py/current.py] 由于第 5 点的更改，同时修改了其他文件相关引用的部分
+7. [aio.py] 更改label/entry/optionmenu等控件的生成方式，使用循环实现，更加简洁和容易维护
+8. [aio.py] 修改customtkinter库中C:\Users\Administrator\AppData\Local\Programs\Python\Python312\Lib\site-packages\customtkinter\windows\widgets\ctk_tabview.py文件，参考https://github.com/TomSchimansky/CustomTkinter/issues/2296，实现修改tabview组件的字体大小
+9. [aio.py] 修改menu_main->menu_main_dp，menu_sub->menu_sub_dp，为后续其他tab功能按钮做扩展，是针对第三点做出的相应调整
+10. [layout.xlsx] 添加了各个功能的流程图
 
 v0.1.5.1(2024/06/12)
-[current.py]:  修改cycle功能中，数据清理范围为70000行，并将threshold从2调整为5
-[current.py]:  修改位置超限提示，使更清楚了解问题原因
-[current.py]:  修改find_point函数中错误提示，增加定位信息
-[README.md]: 精简打包命令
-[requirements.txt]: 新增必要库配置文件
+1. [current.py] 修改cycle功能中，数据清理范围为70000行，并将threshold从2调整为5
+2. [current.py] 修改位置超限提示，使更清楚了解问题原因
+3. [current.py] 修改find_point函数中错误提示，增加定位信息
+4. [README.md] 精简打包命令
+5. [requirements.txt] 新增必要库配置文件
 
 v0.1.5.2(2024/06/13)
-[brake.py/aio.py]: 将sto修改为estop
-[brake.py]: 修改了速度计算逻辑，新版本的vel列数据遵循如下规则，av = vel * 180 / pi，根据av再计算speed
-[brake.py]: 将threshold修改为常量50
-[brake.py]: 提高了输出提示语的明确性，删除了不必要的省略号
-[brake.py]: 更正了之前的数据copy错误，重新优化了estop处是否达到指定百分比的判定逻辑
+1. [brake.py/aio.py]: 将sto修改为estop
+2. [brake.py] 修改了速度计算逻辑，新版本的vel列数据遵循如下规则，av = vel * 180 / pi，根据av再计算speed
+3. [brake.py] 将threshold修改为常量50
+4. [brake.py] 提高了输出提示语的明确性，删除了不必要的省略号
+5. [brake.py] 更正了之前的数据copy错误，重新优化了estop处是否达到指定百分比的判定逻辑
 
 v0.1.5.3(2024/06/14)
-[aio.py]: 修改w_param为84，适配14寸电脑屏幕
-[brake.py]: 将判定合规逻辑修改为角速度超过指定角速度的95%
-[README.md]: 稍作修改，包括打包方式，功能特性等
+1. [aio.py] 修改w_param为84，适配14寸电脑屏幕
+2. [brake.py] 将判定合规逻辑修改为角速度超过指定角速度的95%
+3. [README.md] 稍作修改，包括打包方式，功能特性等
+
+v0.1.6.0(2024/06/15)
+[aio.py] 新增wavelogger处理界面
+[wavelogger.py] 新增精度数据处理模块
+
+v0.1.6.1(2024/06/16)
+1. [wavelogger.py] bugfix single_file_proc函数中，修改_start起始点的计算逻辑
+2. [wavelogger.py] bugfix find_point函数中，当判断条件为临界值 2.0 的时候，针对forward和backward两种情况，对row_target做与判断逻辑相同的处理，目的是避免形成死循环
+
+v0.1.6.2(2024/06/16)
+1. [current.py] 修改了max/avg相关功能中对于返回值的处理逻辑，并在输出框以行的形式打印出来
+
+v0.1.6.3(2024/06/18)
+1. [current.py] 适配电机电流中速度使用hw_joint_vel_feedback的数据，取消对device_servo_vel_feedback的支持，后续所有涉及到速度相关的数据均已前者为准，现已完成对单轴和场景的适配
+
+> ！！WARNING：目前版本的电机电流程序还支持DriverMaster采集的数据处理，等明确后，将不再支持，也即所有的电机电流数据（工业+协作），都是用诊断曲线来采集
+

aio/assets/file_version_info.txt

@@ -6,8 +6,8 @@ VSVersionInfo(
   ffi=FixedFileInfo(
     # filevers and prodvers should be always a tuple with four items: (1, 2, 3, 4)
     # Set not needed items to zero 0.
-    filevers=(0, 1, 5, 3),
-    prodvers=(0, 1, 5, 3),
+    filevers=(0, 1, 6, 3),
+    prodvers=(0, 1, 6, 3),
     # Contains a bitmask that specifies the valid bits 'flags'r
     mask=0x3f,
     # Contains a bitmask that specifies the Boolean attributes of the file.
@@ -31,12 +31,12 @@ VSVersionInfo(
         '040904b0',
         [StringStruct('CompanyName', 'Rokae - https://www.rokae.com/'),
         StringStruct('FileDescription', 'All in one automatic toolbox'),
-        StringStruct('FileVersion', '0.1.5.3 (2024-06-14)'),
+        StringStruct('FileVersion', '0.1.6.3 (2024-06-18)'),
         StringStruct('InternalName', 'AIO.exe'),
         StringStruct('LegalCopyright', '© 2024-2024 Manford Fan'),
         StringStruct('OriginalFilename', 'AIO.exe'),
         StringStruct('ProductName', 'AIO'),
-        StringStruct('ProductVersion', '0.1.5.3 (2024-06-14)')])
+        StringStruct('ProductVersion', '0.1.6.3 (2024-06-18)')])
       ]),
     VarFileInfo([VarStruct('Translation', [1033, 1200])])
   ]

aio/assets/vers

@@ -1 +1 @@
-0.1.5.3 @ 06/14/2024
+0.1.6.3 @ 06/18/2024

aio/code/aio.py

@@ -3,7 +3,7 @@ from os import getcwd
 from threading import Thread
 import tkinter.messagebox
 import customtkinter
-import brake, current, iso
+import brake, current, iso, wavelogger
 from time import time, strftime, localtime
 from urllib.request import urlopen
 from socket import setdefaulttimeout
@@ -72,7 +72,7 @@ class App(customtkinter.CTk):
         btns['log']['btn'].configure(command=lambda: self.thread_it(self.func_log_callback))
         btns['end']['btn'].configure(command=lambda: self.thread_it(self.func_end_callback))
         # create version info
-        self.label_version = customtkinter.CTkLabel(self.frame_func, justify='left', text="Vers: 0.1.5.3\nDate: 06/14/2024", font=self.my_font, text_color="#4F4F4F")
+        self.label_version = customtkinter.CTkLabel(self.frame_func, justify='left', text="Vers: 0.1.6.3\nDate: 06/18/2024", font=self.my_font, text_color="#4F4F4F")
         self.frame_func.rowconfigure(6, weight=1)
         self.label_version.grid(row=6, column=0, padx=20, pady=20, sticky='s')
         # =====================================================================
@@ -82,7 +82,7 @@ class App(customtkinter.CTk):
         self.tabview.add("Data Process")
         self.tabview.add("Automatic Test")
         # create main menu
-        self.menu_main_dp = customtkinter.CTkOptionMenu(self.tabview.tab('Data Process'), values=["INIT", "brake", "current", "iso"], font=self.my_font, text_color='yellow', button_color='red', fg_color='green', command=self.func_main_callback)
+        self.menu_main_dp = customtkinter.CTkOptionMenu(self.tabview.tab('Data Process'), values=["init", "brake", "current", "iso", "wavelogger"], font=self.my_font, text_color='yellow', button_color='red', fg_color='green', command=self.func_main_callback)
         self.menu_main_dp.grid(row=1, column=1, sticky='we', padx=5, pady=5)
         self.menu_main_dp.set("Start Here!")
         # create sub menu
@@ -169,7 +169,7 @@ class App(customtkinter.CTk):
                 elif widgit in ['trqh',]:
                     widgits[widgit]['label'].configure(text_color="red")
                     widgits[widgit]['optionmenu'].configure(state='normal')
-        elif func_name == 'iso':
+        elif func_name == 'iso' or func_name == 'wavelogger':
             for widgit in widgits:
                 if widgit in ['path',]:
                     widgits[widgit]['label'].configure(text_color='red')
@@ -301,6 +301,15 @@ class App(customtkinter.CTk):
                 return 3, path
             else:
                 return 0, 0
+        # =======================================================
+        elif func_name == 'wavelogger':
+            path = widgits['path']['entry'].get().strip()
+            c1 = exists(path)
+            if c1:
+                return 4, path
+            else:
+                return 0, 0
+        # =======================================================
         else:
             return 0, 0
 
@@ -309,13 +318,15 @@ class App(customtkinter.CTk):
         self.textbox.delete(index1='1.0', index2='end')
 
         flag, *args = self.check_param()
-        func_dict = {1: brake.main, 2: current.main, 3: iso.main}
+        func_dict = {1: brake.main, 2: current.main, 3: iso.main, 4: wavelogger.main}
         if flag == 1:
             func_dict[flag](path=args[0], av=args[1], rr=args[2],  axis=args[3], vel=args[4], trq=args[5], estop=args[6], w2t=self.write2textbox)
         elif flag == 2:
             func_dict[flag](path=args[0], sub=args[1], rcs=args[2], vel=args[3], trq=args[4], trqh=args[5], dur=args[6], rpm=args[7], w2t=self.write2textbox)
         elif flag == 3:
             func_dict[flag](path=args[0], w2t=self.write2textbox)
+        elif flag == 4:
+            func_dict[flag](path=args[0], w2t=self.write2textbox)
         else:
             tkinter.messagebox.showerror(title="参数错误", message="请检查对应参数是否填写正确！", )
 

aio/code/current.py

@@ -81,7 +81,7 @@ def initialization(path, sub, w2t):
 
 
 def current_max(data_files, rcs, trqh, w2t):
-    current = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0}
+    current = {1: [], 2: [], 3: [], 4: [], 5: [], 6: [], 7: []}
     for data_file in data_files:
         if data_file.endswith('.data'):
             df = read_csv(data_file, sep='\t')
@@ -96,15 +96,23 @@ def current_max(data_files, rcs, trqh, w2t):
 
         scale = 1 if data_file.endswith('.csv') else 1000
         _ = abs(c_max/scale*rca)
-        current[axis] = _
+        current[axis].append(_)
         w2t(f"{data_file}: {_:.4f}")
 
-    w2t("【MAX】数据处理完毕......")
+    for axis, cur in current.items():
+        if not cur:
+            continue
+        else:
+            w2t(f"{axis}轴数据：", 1, 0, 'purple')
+            for value in cur:
+                w2t(f"{value:.4f} ", 1, 0, 'purple')
+            w2t('')
+    w2t("\n【MAX】数据处理完毕......")
     return current
 
 
 def current_avg(data_files, rcs, trqh, w2t):
-    current = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0}
+    current = {1: [], 2: [], 3: [], 4: [], 5: [], 6: [], 7: []}
     for data_file in data_files:
         if data_file.endswith('.data'):
             df = read_csv(data_file, sep='\t')
@@ -120,10 +128,18 @@ def current_avg(data_files, rcs, trqh, w2t):
 
         scale = 1 if data_file.endswith('.csv') else 1000
         _ = (abs(c_avg)+c_std)/scale*rca
-        current[axis] = _
+        current[axis].append(_)
         w2t(f"{data_file}: {_:.4f}")
 
-    w2t("【AVG】数据处理完毕......")
+    for axis, cur in current.items():
+        if not cur:
+            continue
+        else:
+            w2t(f"{axis}轴数据：", 1, 0, 'purple')
+            for value in cur:
+                w2t(f"{value:.4f} ", 1, 0, 'purple')
+            w2t('')
+    w2t("\n【AVG】数据处理完毕......")
     return current
 
 
@@ -216,10 +232,12 @@ def p_single(wb, single, vel, trq, rpm, w2t):
         axis = int(data_file.split('\\')[-1].split('_')[0].removeprefix('j'))
         shtname = f"J{axis}"
         ws = wb[shtname]
-
+        addition = 1
         set_option("display.precision", 2)
         if data_file.endswith('.data'):
             df = read_csv(data_file, sep='\t')
+            rr = float(wb['统计'].cell(row=2, column=axis+1).value)
+            addition = 180 / 3.1415926 * 60 / 360 * rr
         elif data_file.endswith('.csv'):
             df = read_csv(data_file, sep=',', encoding='gbk', header=8)
             csv_reader = reader(open(data_file))
@@ -233,7 +251,7 @@ def p_single(wb, single, vel, trq, rpm, w2t):
             ws["H11"] = cycle
 
         col_names = list(df.columns)
-        df_1 = df[col_names[vel-1]].multiply(rpm)
+        df_1 = df[col_names[vel-1]].multiply(rpm*addition)
         df_2 = df[col_names[trq-1]].multiply(scale)
         df = concat([df_1, df_2], axis=1)
 
@@ -293,10 +311,12 @@ def p_scenario(wb, single, vel, trq, rpm, dur, w2t):
         axis = int(data_file.split('\\')[-1].split('_')[0].removeprefix('j'))
         shtname = f"J{axis}"
         ws = wb[shtname]
-
+        addition = 1
         set_option("display.precision", 2)
         if data_file.endswith('.data'):
             df = read_csv(data_file, sep='\t')
+            rr = float(wb['统计'].cell(row=2, column=axis+1).value)
+            addition = 180 / 3.1415926 * 60 / 360 * rr
         elif data_file.endswith('.csv'):
             df = read_csv(data_file, sep=',', encoding='gbk', header=8)
             csv_reader = reader(open(data_file))
@@ -310,7 +330,7 @@ def p_scenario(wb, single, vel, trq, rpm, dur, w2t):
         ws["H11"] = cycle
 
         col_names = list(df.columns)
-        df_1 = df[col_names[vel-1]].multiply(rpm)
+        df_1 = df[col_names[vel-1]].multiply(rpm*addition)
         df_2 = df[col_names[trq-1]].multiply(scale)
         df = concat([df_1, df_2], axis=1)
 

aio/code/wavelogger.py

@@ -0,0 +1,186 @@
+import os
+import random
+
+from pandas import read_csv
+from csv import reader
+from sys import argv
+from os.path import exists
+from os import scandir, remove
+from openpyxl import Workbook
+from random import randint
+
+def traversal_files(path, w2t):
+    # 功能：以列表的形式分别返回指定路径下的文件和文件夹，不包含子目录
+    # 参数：路径
+    # 返回值：路径下的文件夹列表 路径下的文件列表
+    if not exists(path):
+        msg = f'数据文件夹{path}不存在，请确认后重试......'
+        w2t(msg, 0, 1, 'red')
+    else:
+        dirs = []
+        files = []
+        for item in scandir(path):
+            if item.is_dir():
+                dirs.append(item.path)
+            elif item.is_file():
+                files.append(item.path)
+
+        return dirs, files
+
+
+def find_point(bof, step, pos, data_file, flag, df, row, w2t):
+    # bof: backward or forward
+    # pos: used for debug
+    # flag: greater than or lower than
+    if flag == 'gt':
+        while 0 < row < df.index[-1]-100:
+            _value = df.iloc[row, 2]
+            if _value > 2:
+                if bof == 'backward':
+                    row -= step
+                elif bof == 'forward':
+                    row += step
+                continue
+            else:
+                if bof == 'backward':
+                    row_target = row - step
+                elif bof == 'forward':
+                    row_target = row + step
+                break
+        else:
+            if bof == 'backward':
+                w2t(f"[{pos}] 在 {data_file} 中，无法正确识别数据，需要确认...", 0, 2, 'red')
+            elif bof == 'forward':
+                row_target = row + 100
+    elif flag == 'lt':
+        while 0 < row < df.index[-1]-100:
+            _value = df.iloc[row, 2]
+            if _value < 2:
+                if bof == 'backward':
+                    row -= step
+                elif bof == 'forward':
+                    row += step
+                continue
+            else:
+                if bof == 'backward':
+                    row_target = row - step
+                elif bof == 'forward':
+                    row_target = row + step
+                break
+        else:
+            if bof == 'backward':
+                w2t(f"[{pos}] 在 {data_file} 中，无法正确识别数据，需要确认...", 0, 3, 'red')
+            elif bof == 'forward':
+                row_target = row + 100
+
+    return row_target
+
+
+def get_cycle_info(data_file, df, row, step, w2t):
+    # end -> middle: low
+    # middle -> start: high
+    # 1. 从最后读取数据，无论是大于1还是小于1，都舍弃，找到相反的值的起始点
+    # 2. 从起始点，继续往前寻找，找到与之数值相反的中间点
+    # 3. 从中间点，继续往前寻找，找到与之数值相反的结束点，至此，得到了高低数值的时间区间以及一轮的周期时间
+    if df.iloc[row, 2] < 2:
+        row = find_point('backward', step, 'a1', data_file, 'lt', df, row, w2t)
+
+    _row = find_point('backward', step, 'a2', data_file, 'gt', df, row, w2t)
+    _row = find_point('backward', step, 'a3', data_file, 'lt', df, _row, w2t)
+    row_end = find_point('backward', step, 'a4', data_file, 'gt', df, _row, w2t)
+    row_middle = find_point('backward', step, 'a5', data_file, 'lt', df, row_end, w2t)
+    row_start = find_point('backward', step, 'a6', data_file, 'gt', df, row_middle, w2t)
+
+    return row_end-row_middle, row_middle-row_start, row_end-row_start
+
+
+def initialization(path, w2t):
+    _, data_files = traversal_files(path, w2t)
+
+    for data_file in data_files:
+        if not data_file.lower().endswith('.csv'):
+            w2t(f"{data_file} 文件后缀错误，只允许 .csv 文件，需要确认！", 0, 1, 'red')
+
+    return data_files
+
+
+def preparation(data_file, wb, w2t):
+    shtname = data_file.split('\\')[-1].split('.')[0]
+    ws = wb.create_sheet(shtname)
+    csv_reader = reader(open(data_file))
+    i = 0
+    begin = 70
+    for row in csv_reader:
+        i += 1
+        if i == 1:
+            begin = int(row[1])
+            break
+    df = read_csv(data_file, sep=',', encoding='gbk', skip_blank_lines=False, header=begin - 1, on_bad_lines='warn')
+    low, high, cycle = get_cycle_info(data_file, df, df.index[-1]-110, 5, w2t)
+
+    return ws, df, low, high, cycle
+
+
+def single_file_proc(ws, data_file, df, low, high, cycle, w2t):
+    _row = _row_lt = _row_gt = count = 1
+    _step = 5
+    _data = {}
+    row_max = df.index[-1]-100
+    print(data_file)
+    while _row < row_max:
+        if count not in _data.keys():
+            _data[count] = []
+
+        _value = df.iloc[_row, 2]
+        if _value < 2:
+            _row_lt = find_point('forward', _step, 'c'+str(_row), data_file, 'lt', df, _row, w2t)
+            _start = int(_row_gt + (_row_lt - _row_gt - 50) / 2)
+            _end = _start + 50
+            value = df.iloc[_start:_end, 2].mean() + df.iloc[_start:_end, 2].std()
+            _data[count].append(value)
+        else:
+            _row_gt = find_point('forward', _step, 'c'+str(_row), data_file, 'gt', df, _row, w2t)
+            if _row_gt - _row_lt > cycle * 2:
+                count += 1
+
+        _row = max(_row_gt, _row_lt)
+
+    for i in range(2, 10):
+        ws.cell(row=1, column=i).value = f"第{i-1}次测试"
+        ws.cell(row=i, column=1).value = f"第{i-1}次精度变化"
+
+    print(_data)
+    for i in sorted(_data.keys()):
+        _row = 2
+        _column = i + 1
+        for value in _data[i]:
+            ws.cell(row=_row, column=_column).value = float(value)
+            _row += 1
+
+
+def execution(data_files, w2t):
+    wb = Workbook()
+    for data_file in data_files:
+        ws, df, low, high, cycle = preparation(data_file, wb, w2t)
+        print(f"low = {low}")
+        print(f"high = {high}")
+        print(f"cycle = {cycle}")
+        single_file_proc(ws, data_file, df, low, high, cycle, w2t)
+
+    wd = data_files[0].split('\\')
+    del wd[-1]
+    wd = '\\'.join(wd)
+    filename = wd + '\\result.xlsx'
+    wb.save(filename)
+    wb.close()
+    w2t('----------------------------------------')
+    w2t('所有文件均已处理完毕')
+
+
+def main(path, w2t):
+    data_files = initialization(path, w2t)
+    execution(data_files, w2t)
+
+
+if __name__ == '__main__':
+    main(path=argv[1], w2t=argv[2])