fix merging
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commit
a0fe9b5939
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.gitignore
vendored
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.gitignore
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@ -4,3 +4,4 @@ aio/.idea/
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aio/code/__pycache__/
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aio/code/__pycache__/
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aio/package/
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aio/package/
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aio/venv
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aio/venv
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aio/__pycache__/
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@ -188,39 +188,44 @@ v0.1.4(2024/06/06)
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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
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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
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v0.1.5(2024/06/12)
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v0.1.5(2024/06/12)
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1. [aio.py]: 主界面切换不同功能时保持placehold一致
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1. [aio.py] 主界面切换不同功能时保持placehold一致
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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
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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
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3. [aio.py]: 新增tabview组件,区分数据处理和自动化测试功能
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3. [aio.py] 新增tabview组件,区分数据处理和自动化测试功能
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4. [aio.py]: 重新调整界面配色
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4. [aio.py] 重新调整界面配色
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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10. [layout.xlsx]: 添加了各个功能的流程图
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10. [layout.xlsx] 添加了各个功能的流程图
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v0.1.5.1(2024/06/12)
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v0.1.5.1(2024/06/12)
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[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
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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
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[current.py]: 修改位置超限提示,使更清楚了解问题原因
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2. [current.py] 修改位置超限提示,使更清楚了解问题原因
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[current.py]: 修改find_point函数中错误提示,增加定位信息
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3. [current.py] 修改find_point函数中错误提示,增加定位信息
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[README.md]: 精简打包命令
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4. [README.md] 精简打包命令
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[requirements.txt]: 新增必要库配置文件
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5. [requirements.txt] 新增必要库配置文件
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v0.1.5.2(2024/06/13)
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v0.1.5.2(2024/06/13)
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[brake.py/aio.py]: 将sto修改为estop
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1. [brake.py/aio.py]: 将sto修改为estop
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[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
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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
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[brake.py]: 将threshold修改为常量50
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3. [brake.py] 将threshold修改为常量50
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[brake.py]: 提高了输出提示语的明确性,删除了不必要的省略号
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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
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[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
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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
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v0.1.5.3(2024/06/14)
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v0.1.5.3(2024/06/14)
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[aio.py]: 修改w_param为84,适配14寸电脑屏幕
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1. [aio.py] 修改w_param为84,适配14寸电脑屏幕
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[brake.py]: 将判定合规逻辑修改为角速度超过指定角速度的95%
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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%
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[README.md]: 稍作修改,包括打包方式,功能特性等
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3. [README.md] 稍作修改,包括打包方式,功能特性等
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v0.1.6.0(2024/06/15)
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v0.1.6.0(2024/06/15)
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[aio.py]: 新增wavelogger处理界面
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[aio.py] 新增wavelogger处理界面
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[wavelogger.py]: 新增精度数据处理模块
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[wavelogger.py] 新增精度数据处理模块
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v0.1.6.1(2024/06/16)
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1. [wavelogger.py] bugfix single_file_proc函数中,修改_start起始点的计算逻辑
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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
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v0.1.6.2(2024/06/16)
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v0.1.6.2(2024/06/16)
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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
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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
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@ -1,4 +1,5 @@
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import os
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import os
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import random
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from pandas import read_csv
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from pandas import read_csv
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from csv import reader
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from csv import reader
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@ -6,7 +7,7 @@ from sys import argv
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from os.path import exists
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from os.path import exists
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from os import scandir, remove
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from os import scandir, remove
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from openpyxl import Workbook
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from openpyxl import Workbook
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from random import randint
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def traversal_files(path, w2t):
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def traversal_files(path, w2t):
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# 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
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# 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
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@ -33,14 +34,18 @@ def find_point(bof, step, pos, data_file, flag, df, row, w2t):
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# flag: greater than or lower than
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# flag: greater than or lower than
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if flag == 'gt':
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if flag == 'gt':
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while 0 < row < df.index[-1]-100:
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while 0 < row < df.index[-1]-100:
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if df.iloc[row, 2] > 2:
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_value = df.iloc[row, 2]
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if _value > 2:
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if bof == 'backward':
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if bof == 'backward':
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row -= step
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row -= step
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elif bof == 'forward':
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elif bof == 'forward':
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row += step
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row += step
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continue
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continue
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else:
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else:
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row_target = row
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if bof == 'backward':
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row_target = row - step
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elif bof == 'forward':
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row_target = row + step
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break
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break
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else:
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else:
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if bof == 'backward':
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if bof == 'backward':
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@ -49,14 +54,18 @@ def find_point(bof, step, pos, data_file, flag, df, row, w2t):
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row_target = row + 100
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row_target = row + 100
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elif flag == 'lt':
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elif flag == 'lt':
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while 0 < row < df.index[-1]-100:
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while 0 < row < df.index[-1]-100:
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if df.iloc[row, 2] < 2:
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_value = df.iloc[row, 2]
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if _value < 2:
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if bof == 'backward':
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if bof == 'backward':
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row -= step
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row -= step
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elif bof == 'forward':
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elif bof == 'forward':
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row += step
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row += step
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continue
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continue
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else:
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else:
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row_target = row
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if bof == 'backward':
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row_target = row - step
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elif bof == 'forward':
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row_target = row + step
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break
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break
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else:
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else:
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if bof == 'backward':
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if bof == 'backward':
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@ -117,13 +126,15 @@ def single_file_proc(ws, data_file, df, low, high, cycle, w2t):
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_step = 5
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_step = 5
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_data = {}
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_data = {}
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row_max = df.index[-1]-100
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row_max = df.index[-1]-100
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print(data_file)
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while _row < row_max:
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while _row < row_max:
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if count not in _data.keys():
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if count not in _data.keys():
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_data[count] = []
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_data[count] = []
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if df.iloc[_row, 2] < 2:
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_value = df.iloc[_row, 2]
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if _value < 2:
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_row_lt = find_point('forward', _step, 'c'+str(_row), data_file, 'lt', df, _row, w2t)
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_row_lt = find_point('forward', _step, 'c'+str(_row), data_file, 'lt', df, _row, w2t)
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_start = int((_row_lt - _row_gt - 50) / 2)
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_start = int(_row_gt + (_row_lt - _row_gt - 50) / 2)
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_end = _start + 50
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_end = _start + 50
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value = df.iloc[_start:_end, 2].mean() + df.iloc[_start:_end, 2].std()
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value = df.iloc[_start:_end, 2].mean() + df.iloc[_start:_end, 2].std()
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_data[count].append(value)
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_data[count].append(value)
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@ -138,6 +149,7 @@ def single_file_proc(ws, data_file, df, low, high, cycle, w2t):
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ws.cell(row=1, column=i).value = f"第{i-1}次测试"
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ws.cell(row=1, column=i).value = f"第{i-1}次测试"
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ws.cell(row=i, column=1).value = f"第{i-1}次精度变化"
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ws.cell(row=i, column=1).value = f"第{i-1}次精度变化"
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print(_data)
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for i in sorted(_data.keys()):
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for i in sorted(_data.keys()):
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_row = 2
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_row = 2
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_column = i + 1
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_column = i + 1
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@ -150,6 +162,9 @@ def execution(data_files, w2t):
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wb = Workbook()
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wb = Workbook()
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for data_file in data_files:
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for data_file in data_files:
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ws, df, low, high, cycle = preparation(data_file, wb, w2t)
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ws, df, low, high, cycle = preparation(data_file, wb, w2t)
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print(f"low = {low}")
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print(f"high = {high}")
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print(f"cycle = {cycle}")
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single_file_proc(ws, data_file, df, low, high, cycle, w2t)
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single_file_proc(ws, data_file, df, low, high, cycle, w2t)
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wd = data_files[0].split('\\')
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wd = data_files[0].split('\\')
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