Compare commits
8 Commits
2ac5dc3895
...
brake
Author | SHA1 | Date | |
---|---|---|---|
e014775972 | |||
15e6f1b6c0 | |||
ecdec2e41b | |||
07eb0c8940 | |||
39f3cb836b | |||
7e568fb699 | |||
9971b51457 | |||
e1716332d7 |
6
.gitignore
vendored
6
.gitignore
vendored
@ -1,8 +1,6 @@
|
||||
test.py
|
||||
.idea/
|
||||
aio/.idea/
|
||||
aio/__pycache__/
|
||||
aio/dist/
|
||||
aio/build/
|
||||
aio/aio.spec
|
||||
aio/code/__pycache__/
|
||||
aio/package/
|
||||
aio/venv
|
||||
|
@ -1,7 +1,7 @@
|
||||
### 程序功能
|
||||
|
||||
自动化测试数据处理工具,减少人工处理时长,提高测试数据处理的效率和准确度:
|
||||
1. 制动数据,单轴数据处理5min以内
|
||||
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
|
||||
|
||||
@ -11,25 +11,15 @@
|
||||
|
||||
### 第三方库
|
||||
|
||||
```commandline
|
||||
pip3 install pandas -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
pip3 install openpyxl -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
pip3 install xlmx -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
pip3 install pdfplumber -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
pip3 install jinja2 -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
pip3 install Pillow -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
python.exe -m pip install --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn
|
||||
```text
|
||||
参考requirements.txt
|
||||
```
|
||||
|
||||
### 打包方法
|
||||
|
||||
```commandline
|
||||
pyinstaller.exe -F --version-file file_version_info.txt -i .\icon.ico .\aio.py
|
||||
```
|
||||
pyinstaller.exe -F --version-file file_version_info.txt -i .\icon.ico .\aio.py -p .\brake.py -p .\current.py
|
||||
<<<<<<< HEAD
|
||||
pyinstaller --noconfirm --onedir --windowed --add-data "C:/Users/Administrator/AppData/Local/Programs/Python/Python312/Lib/site-packages/customtkinter;customtkinter/" --version-file file_version_info.txt -i .\icon.ico .\aio.py -p .\brake.py .\iso.py
|
||||
pyinstaller --noconfirm --onedir --windowed --add-data "/opt/git/rokae/aio/venv/lib/python3.11/site-packages/customtkinter;customtkinter/" --version-file file_version_info.txt -i ./icon.ico ./aio.py -p ./brake.py -p ./iso.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 file_version_info.txt -i .\icon.ico .\aio.py -p .\brake.py -p .\iso.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
|
||||
```
|
||||
|
||||
---
|
||||
@ -102,6 +92,13 @@ pyinstaller --noconfirm --onedir --windowed --add-data "C:/Users/Administrator/A
|
||||
c. ISO-V100.pdf
|
||||
d. iso-results.xlsx
|
||||
|
||||
#### 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
|
||||
b. 修改.../windows/widgets/ctk_tabview.py
|
||||
c. 增加 from .font.ctk_font import CTkFont
|
||||
d. 在大概 78 行的位置,增加 font=CTkFont(family="Consolas", size=18, weight='bold')
|
||||
|
||||
---
|
||||
|
||||
RELEASE CHANGES
|
||||
@ -193,3 +190,22 @@ v0.1.5(2024/06/12)
|
||||
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
|
||||
|
||||
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
|
||||
|
||||
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
|
@ -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, 0),
|
||||
prodvers=(0, 1, 5, 0),
|
||||
filevers=(0, 1, 5, 3),
|
||||
prodvers=(0, 1, 5, 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 (2024-06-12)'),
|
||||
StringStruct('FileVersion', '0.1.5.3 (2024-06-14)'),
|
||||
StringStruct('InternalName', 'AIO.exe'),
|
||||
StringStruct('LegalCopyright', '© 2024-2024 Manford Fan'),
|
||||
StringStruct('OriginalFilename', 'AIO.exe'),
|
||||
StringStruct('ProductName', 'AIO'),
|
||||
StringStruct('ProductVersion', '0.1.5 (2024-06-12)')])
|
||||
StringStruct('ProductVersion', '0.1.5.3 (2024-06-14)')])
|
||||
]),
|
||||
VarFileInfo([VarStruct('Translation', [1033, 1200])])
|
||||
]
|
Before Width: | Height: | Size: 162 KiB After Width: | Height: | Size: 162 KiB |
9
aio/assets/requirements.txt
Normal file
9
aio/assets/requirements.txt
Normal file
@ -0,0 +1,9 @@
|
||||
openpyxl==3.1.2
|
||||
pdfplumber==0.11.0
|
||||
customtkinter==5.2.2
|
||||
Jinja2==3.1.4
|
||||
lxml==5.2.2
|
||||
numpy==1.26.4
|
||||
pandas==2.2.2
|
||||
pillow==10.3.0
|
||||
pyinstaller==6.7.0
|
1
aio/assets/vers
Normal file
1
aio/assets/vers
Normal file
@ -0,0 +1 @@
|
||||
0.1.5.3 @ 06/14/2024
|
@ -31,7 +31,7 @@ widgits = {
|
||||
'vel': {'label': '', 'optionmenu': '', 'row': 3, 'col': 4, 'text': ''},
|
||||
'trq': {'label': '', 'optionmenu': '', 'row': 3, 'col': 6, 'text': ''},
|
||||
'trqh': {'label': '', 'optionmenu': '', 'row': 3, 'col': 8, 'text': ''},
|
||||
'sto': {'label': '', 'optionmenu': '', 'row': 3, 'col': 10, 'text': ''},
|
||||
'estop': {'label': '', 'optionmenu': '', 'row': 3, 'col': 10, 'text': ''},
|
||||
'rc1': {'label': '', 'entry': '', 'row': 4, 'col': 2, 'text': '额定电流'},
|
||||
'rc2': {'label': '', 'entry': '', 'row': 4, 'col': 4, 'text': '额定电流'},
|
||||
'rc3': {'label': '', 'entry': '', 'row': 4, 'col': 6, 'text': '额定电流'},
|
||||
@ -45,17 +45,17 @@ class App(customtkinter.CTk):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.my_font = customtkinter.CTkFont(family="Consolas", size=16, weight="bold")
|
||||
self.w_param = 90
|
||||
self.w_param = 84
|
||||
# =====================================================================
|
||||
# configure window
|
||||
self.title("AIO - All in one automatic toolbox")
|
||||
# self.iconbitmap('./icon.ico')
|
||||
self.geometry("1180x550+30+30")
|
||||
self.geometry("1200x550+30+30")
|
||||
self.protocol("WM_DELETE_WINDOW", self.func_end_callback)
|
||||
self.config(bg='#E9E9E9')
|
||||
self.grid_rowconfigure(5, weight=1)
|
||||
self.grid_columnconfigure((1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13), weight=1)
|
||||
self.minsize(1180, 550)
|
||||
self.minsize(1200, 550)
|
||||
# =====================================================================
|
||||
# create frame sidebar(left)
|
||||
self.frame_func = customtkinter.CTkFrame(self, width=120, corner_radius=0, fg_color='#E9E9E9')
|
||||
@ -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\nDate: 06/12/2024", font=self.my_font, text_color="#4F4F4F")
|
||||
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.frame_func.rowconfigure(6, weight=1)
|
||||
self.label_version.grid(row=6, column=0, padx=20, pady=20, sticky='s')
|
||||
# =====================================================================
|
||||
@ -102,7 +102,7 @@ class App(customtkinter.CTk):
|
||||
widgits[widgit]['entry'] = customtkinter.CTkEntry(self.tabview.tab('Data Process'), width=self.w_param, placeholder_text=f"{widgits[widgit]['text']}", font=self.my_font)
|
||||
widgits[widgit]['entry'].grid(row=widgits[widgit]['row'], column=widgits[widgit]['col']+1, padx=(5, 10), pady=5, sticky='w')
|
||||
widgits[widgit]['entry'].configure(state='disabled')
|
||||
elif widgit in ['axis', 'vel', 'trq', 'trqh', 'sto']:
|
||||
elif widgit in ['axis', 'vel', 'trq', 'trqh', 'estop']:
|
||||
widgits[widgit]['label'] = customtkinter.CTkLabel(self.tabview.tab('Data Process'), text=f"{widgit.upper()}", font=self.my_font)
|
||||
widgits[widgit]['label'].grid(row=widgits[widgit]['row'], column=widgits[widgit]['col'], sticky='e', pady=5)
|
||||
widgits[widgit]['optionmenu'] = customtkinter.CTkOptionMenu(self.tabview.tab('Data Process'), button_color='#708090', fg_color='#778899', values=["1", "2", "3", "4", "5", "6", "7"], width=self.w_param, font=self.my_font)
|
||||
@ -136,7 +136,7 @@ class App(customtkinter.CTk):
|
||||
if widgit in ['path', 'av', 'rc', 'rpm', 'rr', 'dur', 'rc1', 'rc2', 'rc3', 'rc4', 'rc5', 'rc6']:
|
||||
widgits[widgit]['label'].configure(text=f'{widgit.upper()}', text_color='black')
|
||||
widgits[widgit]['entry'].configure(placeholder_text=widgits[widgit]['text'], state='disabled')
|
||||
elif widgit in ['axis', 'vel', 'trq', 'trqh', 'sto']:
|
||||
elif widgit in ['axis', 'vel', 'trq', 'trqh', 'estop']:
|
||||
widgits[widgit]['label'].configure(text=f'{widgit.upper()}', text_color="black")
|
||||
widgits[widgit]['optionmenu'].configure(state='disabled')
|
||||
|
||||
@ -152,7 +152,7 @@ class App(customtkinter.CTk):
|
||||
if widgit in ['path', 'av', 'rr']:
|
||||
widgits[widgit]['label'].configure(text_color='red')
|
||||
widgits[widgit]['entry'].configure(state='normal')
|
||||
elif widgit in ['axis', 'vel', 'trq', 'sto']:
|
||||
elif widgit in ['axis', 'vel', 'trq', 'estop']:
|
||||
widgits[widgit]['label'].configure(text_color="red")
|
||||
widgits[widgit]['optionmenu'].configure(state='normal')
|
||||
elif func_name == 'current':
|
||||
@ -245,14 +245,14 @@ class App(customtkinter.CTk):
|
||||
axis = widgits['axis']['optionmenu'].get()
|
||||
vel = widgits['vel']['optionmenu'].get()
|
||||
trq = widgits['trq']['optionmenu'].get()
|
||||
sto = widgits['sto']['optionmenu'].get()
|
||||
estop = widgits['estop']['optionmenu'].get()
|
||||
|
||||
c1 = exists(path)
|
||||
c2 = self.is_float('required', av, rr)
|
||||
c3 = True if len({vel, trq, sto}) == 3 else False
|
||||
c3 = True if len({vel, trq, estop}) == 3 else False
|
||||
|
||||
if c1 and c2 and c3:
|
||||
return 1, path, float(av), float(rr), int(axis), int(vel), int(trq), int(sto)
|
||||
return 1, path, float(av), float(rr), int(axis), int(vel), int(trq), int(estop)
|
||||
else:
|
||||
return 0, 0
|
||||
# =======================================================
|
||||
@ -311,7 +311,7 @@ class App(customtkinter.CTk):
|
||||
flag, *args = self.check_param()
|
||||
func_dict = {1: brake.main, 2: current.main, 3: iso.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], sto=args[6], w2t=self.write2textbox)
|
||||
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:
|
@ -27,12 +27,12 @@ class GetThreadResult(Thread):
|
||||
return None
|
||||
|
||||
|
||||
def data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, sto):
|
||||
def data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, estop):
|
||||
# 功能:完成一个结果文件的数据处理
|
||||
# 参数:结果文件,数据目录,以及预读取的参数
|
||||
# 返回值:-
|
||||
file_name = result_file.split('\\')[-1]
|
||||
w2t(f"打开文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
|
||||
w2t(f"正在打开文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
|
||||
|
||||
global stop
|
||||
stop = 0
|
||||
@ -55,21 +55,21 @@ def data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, sto):
|
||||
# count = 1
|
||||
# for data_file in data_files:
|
||||
# now_doing_msg(data_file, 'start', w2t)
|
||||
# single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, sto)
|
||||
# single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, estop)
|
||||
# count += 1
|
||||
# now_doing_msg(data_file, 'done', w2t)
|
||||
# ---------------------------------------------------
|
||||
# 数据文件并行处理模式---------------------------------
|
||||
threads = [Thread(target=single_file_process, args=(data_files[0], wb_result, 1, av, rr, axis, vel, trq, w2t, sto)),
|
||||
Thread(target=single_file_process, args=(data_files[1], wb_result, 2, av, rr, axis, vel, trq, w2t, sto)),
|
||||
Thread(target=single_file_process, args=(data_files[2], wb_result, 3, av, rr, axis, vel, trq, w2t, sto))]
|
||||
threads = [Thread(target=single_file_process, args=(data_files[0], wb_result, 1, av, rr, axis, vel, trq, w2t, estop)),
|
||||
Thread(target=single_file_process, args=(data_files[1], wb_result, 2, av, rr, axis, vel, trq, w2t, estop)),
|
||||
Thread(target=single_file_process, args=(data_files[2], wb_result, 3, av, rr, axis, vel, trq, w2t, estop))]
|
||||
[t.start() for t in threads]
|
||||
[t.join() for t in threads]
|
||||
# ---------------------------------------------------
|
||||
now_doing_msg(raw_data_dir, 'done', w2t)
|
||||
|
||||
now_doing_msg(result_file, 'done', w2t)
|
||||
w2t(f"保存文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
|
||||
w2t(f"正在保存文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
|
||||
stop = 0
|
||||
t_excel = Thread(target=wb_result.save, args=(result_file, ))
|
||||
t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
|
||||
@ -138,9 +138,9 @@ def now_doing_msg(docs, flag, w2t):
|
||||
elif flag == 'start' and file_type == 'file':
|
||||
w2t(f"[{now}] 正在处理文件 {docs} 中的数据......")
|
||||
elif flag == 'done' and file_type == 'dir':
|
||||
w2t(f"[{now}] 目录 {docs} 数据文件已处理完毕......")
|
||||
w2t(f"[{now}] 目录 {docs} 数据文件已处理完毕")
|
||||
elif flag == 'done' and file_type == 'file':
|
||||
w2t(f"[{now}] 文件 {docs} 数据已处理完毕......")
|
||||
w2t(f"[{now}] 文件 {docs} 数据已处理完毕")
|
||||
|
||||
|
||||
def w2t_local(msg, wait, w2t):
|
||||
@ -153,7 +153,7 @@ def w2t_local(msg, wait, w2t):
|
||||
break
|
||||
|
||||
|
||||
def single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, sto):
|
||||
def single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, estop):
|
||||
# 功能:完成单个数据文件的处理
|
||||
# 参数:如上
|
||||
# 返回值:-
|
||||
@ -163,11 +163,11 @@ def single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t
|
||||
result_sheet_name = find_result_sheet_name(conditions, count)
|
||||
ws_result = wb_result[result_sheet_name]
|
||||
|
||||
row_start, row_end = find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, sto)
|
||||
copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, sto)
|
||||
row_start, row_end = find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, estop)
|
||||
copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, estop)
|
||||
|
||||
|
||||
def copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, sto):
|
||||
def copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, estop):
|
||||
# 功能:将数据文件中有效数据拷贝至结果文件对应的 sheet
|
||||
# 参数:如上
|
||||
# 返回值:-
|
||||
@ -177,20 +177,20 @@ def copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, sto):
|
||||
for _row in range(row_start, row_end + 1):
|
||||
data.append(df.iloc[_row, vel-1])
|
||||
data.append(df.iloc[_row, trq-1])
|
||||
data.append(df.iloc[_row, trq-1])
|
||||
data.append(df.iloc[_row, estop-1])
|
||||
|
||||
i = 0
|
||||
row_max = 2000 if row_end-row_start < 2000 else row_end-row_start+20
|
||||
for _row in range(2, row_max):
|
||||
try:
|
||||
ws_result.cell(row=_row, column=0).value = data[i]
|
||||
ws_result.cell(row=_row, column=0).value = data[i+1]
|
||||
ws_result.cell(row=_row, column=0).value = data[i+2]
|
||||
ws_result.cell(row=_row, column=1).value = data[i]
|
||||
ws_result.cell(row=_row, column=2).value = data[i+1]
|
||||
ws_result.cell(row=_row, column=3).value = data[i+2]
|
||||
i += 3
|
||||
except:
|
||||
ws_result.cell(row=_row, column=0).value = None
|
||||
ws_result.cell(row=_row, column=0).value = None
|
||||
ws_result.cell(row=_row, column=0).value = None
|
||||
ws_result.cell(row=_row, column=1).value = None
|
||||
ws_result.cell(row=_row, column=2).value = None
|
||||
ws_result.cell(row=_row, column=3).value = None
|
||||
|
||||
|
||||
def find_result_sheet_name(conditions, count):
|
||||
@ -205,31 +205,35 @@ def find_result_sheet_name(conditions, count):
|
||||
return result_sheet_name
|
||||
|
||||
|
||||
def find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, sto):
|
||||
def find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, estop):
|
||||
# 功能:查找数据文件中有效数据的行号,也即最后一个速度下降的点位
|
||||
# 参数:如上
|
||||
# 返回值:速度下降点位,最后的数据点位
|
||||
ratio = float(conditions[2].removeprefix('speed'))/100
|
||||
speed_max = av * rr * ratio * 60 / 360
|
||||
av_max = av * ratio
|
||||
row_max = df.index[-1]
|
||||
threshold = 30 if axis == 2 and conditions[0].removeprefix('load') == '100' else 10
|
||||
# threshold = 30 if axis == 2 and conditions[0].removeprefix('load') == '100' else 10
|
||||
threshold = 0.95
|
||||
|
||||
for _row in range(row_max, -1, -1):
|
||||
if df.iloc[_row, sto-1] != 0:
|
||||
row_start = _row-100 if _row-100 > 0 else 0
|
||||
if df.iloc[_row, estop-1] != 0:
|
||||
row_start = _row-20 if _row-20 > 0 else 0
|
||||
break
|
||||
else:
|
||||
w2t(f"数据文件 {data_file} 采集的数据中没有 STO 为非 0 的情况,需要确认......", 0, 9, 'red')
|
||||
w2t(f"数据文件 {data_file} 采集的数据中没有 ESTOP 为非 0 的情况,需要确认", 0, 9, 'red')
|
||||
|
||||
for _row in range(row_start, row_max):
|
||||
if abs(df.iloc[_row, vel-1]) < 1:
|
||||
speed_row = (df.iloc[_row, vel-1] * 180) / 3.1415926 * rr * 60 / 360
|
||||
if abs(speed_row) < 1:
|
||||
row_end = _row+100 if _row+100 <= row_max else row_max
|
||||
break
|
||||
else:
|
||||
w2t(f"数据文件 {data_file} 最后的速度未降为零 ", 0, 10, 'red')
|
||||
|
||||
if abs(df.iloc[row_start+50]-speed_max) > threshold:
|
||||
w2t(f"数据文件 {data_file} 未采集到指定百分比的最大速度,需要检查......")
|
||||
av_estop = abs((df.iloc[row_start-10:row_start+10, vel-1].abs().mean() * 180) / 3.1415926)
|
||||
if abs(av_estop/av_max) < threshold:
|
||||
filename = data_file.split('\\')[-1]
|
||||
w2t(f"[av_estop: {av_estop:.2f} | shouldbe: {av_max:.2f}] 数据文件 {filename} 触发 ESTOP 时未采集到指定百分比的最大速度,需要检查", 0, 0, '#8A2BE2')
|
||||
|
||||
return row_start, row_end
|
||||
|
||||
@ -253,7 +257,7 @@ def traversal_files(path, w2t):
|
||||
return dirs, files
|
||||
|
||||
|
||||
def main(path, av, rr, axis, vel, trq, sto, w2t):
|
||||
def main(path, av, rr, axis, vel, trq, estop, w2t):
|
||||
# 功能:执行处理所有数据文件
|
||||
# 参数:initialization函数的返回值
|
||||
# 返回值:-
|
||||
@ -273,7 +277,7 @@ def main(path, av, rr, axis, vel, trq, sto, w2t):
|
||||
continue
|
||||
else:
|
||||
now_doing_msg(result_file, 'start', w2t)
|
||||
data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, sto)
|
||||
data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, estop)
|
||||
# threads.append(Thread(target=data_process, args=(result_file, raw_data_dirs, AV, RR, RC, AXIS)))
|
||||
# [t.start() for t in threads]
|
||||
# [t.join() for t in threads]
|
||||
@ -291,4 +295,4 @@ def main(path, av, rr, axis, vel, trq, sto, w2t):
|
||||
|
||||
if __name__ == "__main__":
|
||||
stop = 0
|
||||
main(path=argv[1], av=argv[2], rr=argv[3], axis=argv[4], vel=argv[5], trq=argv[6], sto=argv[7], w2t=argv[8])
|
||||
main(path=argv[1], av=argv[2], rr=argv[3], axis=argv[4], vel=argv[5], trq=argv[6], estop=argv[7], w2t=argv[8])
|
@ -181,7 +181,7 @@ def current_cycle(dur, data_files, rcs, vel, trq, trqh, rpm, w2t):
|
||||
w2t("全部处理完毕")
|
||||
|
||||
|
||||
def find_point(flag, df, _row_s, _row_e, w2t, exitcode, threshold, step, end_point):
|
||||
def find_point(data_file, pos, flag, df, _row_s, _row_e, w2t, exitcode, threshold, step, end_point):
|
||||
if flag == 'lt':
|
||||
while _row_e > end_point:
|
||||
speed_avg = df.iloc[_row_s:_row_e, 0].abs().mean()
|
||||
@ -192,7 +192,7 @@ def find_point(flag, df, _row_s, _row_e, w2t, exitcode, threshold, step, end_poi
|
||||
else:
|
||||
return _row_s, _row_e
|
||||
else:
|
||||
w2t(f"数据有误,需要检查,无法找到第{exitcode}个有效点...", 0, exitcode, 'red')
|
||||
w2t(f"[{pos}] {data_file}数据有误,需要检查,无法找到第{exitcode}个有效点...", 0, exitcode, 'red')
|
||||
elif flag == 'gt':
|
||||
while _row_e > end_point:
|
||||
speed_avg = df.iloc[_row_s:_row_e, 0].abs().mean()
|
||||
@ -203,7 +203,7 @@ def find_point(flag, df, _row_s, _row_e, w2t, exitcode, threshold, step, end_poi
|
||||
else:
|
||||
return _row_s, _row_e
|
||||
else:
|
||||
w2t(f"数据有误,需要检查,无法找到有效起始点或结束点...", 0, exitcode, 'red')
|
||||
w2t(f"[{pos}] {data_file}数据有误,需要检查,无法找到有效起始点或结束点...", 0, exitcode, 'red')
|
||||
|
||||
|
||||
def p_single(wb, single, vel, trq, rpm, w2t):
|
||||
@ -245,28 +245,28 @@ def p_single(wb, single, vel, trq, rpm, w2t):
|
||||
speed_avg = df.iloc[_row_s:_row_e, 0].abs().mean()
|
||||
if speed_avg < 2:
|
||||
# 过滤尾部为零无效数据
|
||||
_row_s, _row_e = find_point('lt', df, _row_s, _row_e, w2t, 1, threshold=2, step=_step, end_point=_end_point)
|
||||
_row_s, _row_e = find_point(data_file, 'a1', 'lt', df, _row_s, _row_e, w2t, 1, threshold=5, step=_step, end_point=_end_point)
|
||||
# 找到第一个起始点 row_end,继续找到有数据的部分,后面有一段有效数据区
|
||||
row_end = _row_e - _adjust
|
||||
_row_e -= _end_point
|
||||
_row_s -= _end_point
|
||||
_row_s, _row_e = find_point('gt', df, _row_s, _row_e, w2t, 3, threshold=2, step=_step, end_point=_end_point)
|
||||
_row_s, _row_e = find_point(data_file, 'a2', 'gt', df, _row_s, _row_e, w2t, 3, threshold=5, step=_step, end_point=_end_point)
|
||||
# 速度已经快要降为零了,继续寻找下一个速度上升点
|
||||
_row_e -= _end_point
|
||||
_row_s -= _end_point
|
||||
_row_s, _row_e = find_point('lt', df, _row_s, _row_e, w2t, 3, threshold=2, step=_step, end_point=_end_point)
|
||||
_row_s, _row_e = find_point(data_file, 'a3', 'lt', df, _row_s, _row_e, w2t, 3, threshold=5, step=_step, end_point=_end_point)
|
||||
elif speed_avg > 2:
|
||||
# 过滤尾部非零无效数据
|
||||
_row_s, _row_e = find_point('gt', df, _row_s, _row_e, w2t, 2, threshold=2, step=_step, end_point=_end_point)
|
||||
_row_s, _row_e = find_point(data_file, 'b1', 'gt', df, _row_s, _row_e, w2t, 2, threshold=5, step=_step, end_point=_end_point)
|
||||
# 找到第一个起始点 row_end,继续找到有数据的部分,后面有一段零数据区
|
||||
row_end = _row_e - _adjust
|
||||
_row_e -= _end_point
|
||||
_row_s -= _end_point
|
||||
_row_s, _row_e = find_point('lt', df, _row_s, _row_e, w2t, 4, threshold=2, step=_step, end_point=_end_point)
|
||||
_row_s, _row_e = find_point(data_file, 'b2', 'lt', df, _row_s, _row_e, w2t, 4, threshold=5, step=_step, end_point=_end_point)
|
||||
# 目前已经有一点的速度值了,继续往前搜寻下一个速度为零的点
|
||||
_row_e -= _end_point
|
||||
_row_s -= _end_point
|
||||
_row_s, _row_e = find_point('gt', df, _row_s, _row_e, w2t, 4, threshold=2, step=_step, end_point=_end_point)
|
||||
_row_s, _row_e = find_point(data_file, 'b3', 'gt', df, _row_s, _row_e, w2t, 4, threshold=5, step=_step, end_point=_end_point)
|
||||
|
||||
row_start = _row_s + _adjust
|
||||
data = []
|
||||
@ -275,7 +275,7 @@ def p_single(wb, single, vel, trq, rpm, w2t):
|
||||
data.append(df.iloc[row, 1])
|
||||
|
||||
i = 0
|
||||
for row in ws.iter_rows(min_row=2, min_col=2, max_row=15000, max_col=3):
|
||||
for row in ws.iter_rows(min_row=2, min_col=2, max_row=70000, max_col=3):
|
||||
for cell in row:
|
||||
try:
|
||||
_ = f"{data[i]:.2f}"
|
||||
@ -317,7 +317,7 @@ def p_scenario(wb, single, vel, trq, rpm, dur, w2t):
|
||||
row_start = 300
|
||||
row_end = row_start + int(dur/cycle)
|
||||
if row_end > df.index[-1]:
|
||||
w2t(f"位置超限:{data_file} 共有 {df.index[-1]} 条数据,无法取到第 {row_end} 条数据...", 0, 9, 'red')
|
||||
w2t(f"位置超限:{data_file} 共有 {df.index[-1]} 条数据,无法取到第 {row_end} 条数据,需要确认场景周期时间...", 0, 9, 'red')
|
||||
|
||||
data = []
|
||||
for row in range(row_start, row_end):
|
||||
@ -325,7 +325,7 @@ def p_scenario(wb, single, vel, trq, rpm, dur, w2t):
|
||||
data.append(df.iloc[row, 1])
|
||||
|
||||
i = 0
|
||||
for row in ws.iter_rows(min_row=2, min_col=2, max_row=15000, max_col=3):
|
||||
for row in ws.iter_rows(min_row=2, min_col=2, max_row=70000, max_col=3):
|
||||
for cell in row:
|
||||
try:
|
||||
_ = f"{data[i]:.2f}"
|
Reference in New Issue
Block a user