[modify] v0.0.3(2024/05/21)
1. just_open函数打开失败的信息中,添加文件名 2. 删除global变量,函数全部通过传参实现 3. configuration.xlsx配置文件增加AXIS常量,表示那个轴,取值为 j1/j2/j3/j4/j5/j6/j7 4. [bugfix] 增加get_threshold_step函数,用来获取在计算row_start时合适的阈值和步长,主要是解决了二轴最差工况下,最大速度是个尖端的问题: a. load100_speed100_reachxxx 二轴 threshold = 50 step = 20 b. 其他 threshold = 50 step = 100 如上是一个比较保守的设定,因为设定的step比较小,找到点之后要往后延200最好 5. 在find_row_start_dp函数中新增一个参数data_file,方便后续调试
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@ -6,7 +6,7 @@ from win32com.client import DispatchEx
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from time import time, strftime, localtime, sleep
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from threading import Thread
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import pythoncom
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import pandas as pd
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from pandas import read_csv
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def just_open(filename):
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@ -26,7 +26,7 @@ def just_open(filename):
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xlbook.close()
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if xlapp is not None:
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xlapp.Quit()
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print(f"just open 第 {i} 次操作失败,静默三秒钟,重新执行......")
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print(f"使用win32com打开【{filename}】文件,第 {i} 次操作失败,静默三秒钟,等待重新执行......")
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sleep(3)
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@ -42,24 +42,44 @@ def traversal_files(path):
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return dirs, files
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def find_row_start(excel_file, ws_data, conditions, AV, RR):
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def get_threshold_step(excel_file, AXIS):
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conditions = sorted(excel_file.split('\\')[-2].split('_'))
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# 只有负载和速度是100%时,才会启用更敏感的step
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flg = 1 if conditions[0][-3:] == '100' and conditions[2][-3:] == '100' else 0
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if flg == 1 and AXIS == 'j2':
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threshold = 50
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step = 20
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else:
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threshold = 50
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step = 100
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return threshold, step
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def find_row_start(excel_file, ws_data, conditions, AV, RR, AXIS):
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ratio = float(conditions[1].removeprefix('speed'))/100
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speed_max = AV * ratio * RR / 6
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row_max = ws_data.max_row
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row_start = row_max - 1000
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threshold, step = get_threshold_step(excel_file, AXIS)
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while row_start > 0:
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row_end = row_start - step
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if row_end < 2:
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msg = f"可能是{excel_file.replace('xlsx', 'data')}, 这个文件数据采集有问题,也有可能是程序步长设定问题......" \
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f"建议重新采集,或者先删除该文件夹,重新运行程序,先手动处理"
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warn_pause_exit(msg, 1, 10)
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_a = ws_data[f"A{row_start}"].value
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_b = ws_data[f"A{row_start - 200}"].value
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if abs(_a-speed_max) < 50 and abs(_b-speed_max) < 50 and abs(_a - _b) < 70:
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row_start -= 200
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_b = ws_data[f"A{row_end}"].value
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if abs(_a-speed_max) < threshold and abs(_b-speed_max) < threshold and abs(_a-_b) < threshold:
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row_start -= (step + 200)
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break
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else:
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row_start -= 200
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row_start -= step
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else:
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remove(excel_file)
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msg = f"{excel_file.replace('xlsx', 'data')}, 这个文件数据有问题,请检查......"
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msg = f"可能是{excel_file.replace('xlsx', 'data')},这个文件数据采集有问题,比如采集的时机不对,请检查......"
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warn_pause_exit(msg, 1, 9)
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return row_max, row_start
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@ -123,17 +143,16 @@ def copy_data_to_excel_file(wb_data, ws_result, row_max, row_start, excel_file,
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return wb_data, ws_dp
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def find_row_start_dp(ws_dp, row_max, row_start, conditions, AV):
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def find_row_start_dp(data_file, ws_dp, row_max, row_start, conditions, AV):
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ratio = float(conditions[1].removeprefix('speed'))/100
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av_max = AV * ratio
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row_max_dp = row_max - row_start + 1 + 1 # title row
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row_start_dp = row_max_dp - 5
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while row_start_dp > 1:
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while row_start_dp > 6:
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# 处理异常数据:当从数据文件中拷贝的有效数据超过5000时,会触发该代码块
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if ws_dp.cell(row=row_start_dp, column=4).value is None:
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row_start_dp -= 100
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continue
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_a = float(ws_dp.cell(row=row_start_dp, column=4).value)
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_b = float(ws_dp.cell(row=row_start_dp - 1, column=4).value)
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_c = float(ws_dp.cell(row=row_start_dp - 2, column=4).value)
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@ -152,10 +171,10 @@ def find_row_start_dp(ws_dp, row_max, row_start, conditions, AV):
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return row_start_dp
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def single_file_process(data_file, wb_result, count, AV, RR, RC):
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def single_file_process(data_file, wb_result, count, AV, RR, RC, AXIS):
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excel_file = data_file.replace('data', 'xlsx')
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sheet_name = data_file.split('\\')[-1].removesuffix('.data')
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df = pd.read_csv(data_file, sep='\t')
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df = read_csv(data_file, sep='\t')
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df.to_excel(excel_file, sheet_name=sheet_name, index=False)
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conditions = sorted(data_file.split('\\')[-2].split('_')[1:])
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@ -165,11 +184,11 @@ def single_file_process(data_file, wb_result, count, AV, RR, RC):
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wb_data = load_workbook(excel_file)
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ws_data = wb_data[sheet_name]
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row_max, row_start = find_row_start(excel_file, ws_data, conditions, AV, RR)
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row_max, row_start = find_row_start(excel_file, ws_data, conditions, AV, RR, AXIS)
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copy_data_to_result(ws_data, ws_result, row_max, row_start)
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wb_data, ws_dp = copy_data_to_excel_file(wb_data, ws_result, row_max, row_start, excel_file, RC, RR)
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row_start_dp = find_row_start_dp(ws_dp, row_max, row_start, conditions, AV)
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row_start_dp = find_row_start_dp(data_file, ws_dp, row_max, row_start, conditions, AV)
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ws_result["G2"] = int(row_start_dp)
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@ -177,7 +196,7 @@ def single_file_process(data_file, wb_result, count, AV, RR, RC):
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wb_data.close()
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def data_process(result_file, raw_data_dirs, AV, RR, RC):
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def data_process(result_file, raw_data_dirs, AV, RR, RC, AXIS):
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prefix = result_file.split('\\')[-1].split('_')[0]
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wb_result = load_workbook(result_file) # 打开和关闭结果文件夹十分耗时间
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for raw_data_dir in raw_data_dirs:
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@ -186,9 +205,9 @@ def data_process(result_file, raw_data_dirs, AV, RR, RC):
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print(f"[{now}] 正在处理目录【{raw_data_dir}】中的数据......")
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_, data_files = traversal_files(raw_data_dir)
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threads = [Thread(target=single_file_process, args=(data_files[0], wb_result, 1, AV, RR, RC)),
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Thread(target=single_file_process, args=(data_files[1], wb_result, 2, AV, RR, RC)),
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Thread(target=single_file_process, args=(data_files[2], wb_result, 3, AV, RR, RC))]
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threads = [Thread(target=single_file_process, args=(data_files[0], wb_result, 1, AV, RR, RC, AXIS)),
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Thread(target=single_file_process, args=(data_files[1], wb_result, 2, AV, RR, RC, AXIS)),
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Thread(target=single_file_process, args=(data_files[2], wb_result, 3, AV, RR, RC, AXIS))]
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[t.start() for t in threads]
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[t.join() for t in threads]
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now = strftime('%Y-%m-%d %H:%M:%S', localtime(time()))
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@ -203,7 +222,7 @@ def data_process(result_file, raw_data_dirs, AV, RR, RC):
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def warn_pause_exit(msg, pause_num, exit_num):
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print(msg + '\n')
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for i in range(pause_num):
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_ = input("Press ENTER to continue......")
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_ = input("Press ENTER to continue......\n")
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exit(exit_num)
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@ -257,9 +276,7 @@ def check_files(raw_data_dirs, result_files):
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print("数据目录合规性检查结束,未发现问题......")
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def delete_excel_files():
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global data_dir
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raw_data_dirs, _ = traversal_files(data_dir)
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def delete_excel_files(raw_data_dirs):
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for raw_data_dir in raw_data_dirs:
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_, raw_data_files = traversal_files(raw_data_dir)
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for raw_data_file in raw_data_files:
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@ -271,18 +288,14 @@ def initialization():
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time_start = time() # 记录开始时间
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try:
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# read init configurations from config file
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wb_conf = load_workbook('./configuration.xlsx')
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wb_conf = load_workbook('./configuration.xlsx', read_only=True)
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ws_conf = wb_conf['conf']
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global data_dir
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global AV
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global RR
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global RC
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data_dir = ws_conf.cell(row=2, column=2).value
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AV = int(ws_conf.cell(row=3, column=2).value)
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RR = int(ws_conf.cell(row=4, column=2).value)
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RC = float(ws_conf.cell(row=5, column=2).value)
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AXIS = ws_conf.cell(row=6, column=2).value
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wb_conf.close()
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raw_data_dirs, result_files = traversal_files(data_dir)
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@ -291,7 +304,7 @@ def initialization():
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# print(f'数据目录:{raw_data_dirs}')
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check_files(raw_data_dirs, result_files)
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return raw_data_dirs, result_files, time_start, AV, RR, RC
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return raw_data_dirs, result_files, time_start, AV, RR, RC, AXIS
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except Exception as Err:
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msg = "无法在当前路径下找到【configuration.xlsx】文件,请确认!"
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@ -299,7 +312,7 @@ def initialization():
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def execution(args):
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raw_data_dirs, result_files, time_start, AV, RR, RC = args
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raw_data_dirs, result_files, time_start, AV, RR, RC, AXIS = args
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prefix = []
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for raw_data_dir in raw_data_dirs:
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prefix.append(raw_data_dir.split('\\')[-1].split("_")[0])
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@ -312,16 +325,16 @@ def execution(args):
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else:
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now = strftime('%Y-%m-%d %H:%M:%S', localtime(time()))
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print(f"[{now}] 正在整理结果文件【{result_file}】的数据......")
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# data_process(result_file, raw_data_dirs, AV, RR, RC)
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threads.append(Thread(target=data_process, args=(result_file, raw_data_dirs, AV, RR, RC)))
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# data_process(result_file, raw_data_dirs, AV, RR, RC, AXIS)
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threads.append(Thread(target=data_process, args=(result_file, raw_data_dirs, AV, RR, RC, AXIS)))
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[t.start() for t in threads]
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[t.join() for t in threads]
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print("#---------------------------------------------------------")
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print("全部处理完毕")
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delete_excel_files()
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delete_excel_files(raw_data_dirs)
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except Exception as Err:
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print("程序运行错误,请检查配置文件是否准确设定,以及数据文件组织是否正确!")
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delete_excel_files() # 运行结束之后,删除中间临时文件
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delete_excel_files(raw_data_dirs) # 运行结束之后,删除中间临时文件
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time_end = time() # 记录结束时间
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time_total = time_end - time_start # 计算的时间差为程序的执行时间,单位为秒/s
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@ -333,12 +346,5 @@ def main():
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execution(initialization())
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# 定义初始参数,数据文件夹路径/最大角速度/减速比/额定电流
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global data_dir # path for data
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global AV # AV for Angular velocity
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global RR # RR for Angular velocity
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global RC # RC for Rated Current
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if __name__ == "__main__":
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main()
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Binary file not shown.
@ -6,8 +6,8 @@ VSVersionInfo(
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ffi=FixedFileInfo(
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# filevers and prodvers should be always a tuple with four items: (1, 2, 3, 4)
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# Set not needed items to zero 0.
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filevers=(0, 0, 1, 5),
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prodvers=(0, 0, 1, 5),
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filevers=(0, 0, 3, 0),
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prodvers=(0, 0, 3, 0),
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# Contains a bitmask that specifies the valid bits 'flags'r
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mask=0x3f,
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# Contains a bitmask that specifies the Boolean attributes of the file.
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@ -31,12 +31,12 @@ VSVersionInfo(
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'040904b0',
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[StringStruct('CompanyName', 'Rokae - https://www.rokae.com/'),
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StringStruct('FileDescription', 'All in one automatic operating tool'),
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StringStruct('FileVersion', '0.0.2 (2024-05-20)'),
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StringStruct('FileVersion', '0.0.3 (2024-05-20)'),
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StringStruct('InternalName', 'AIO.exe'),
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StringStruct('LegalCopyright', '© 2024-2024 Manford Fan'),
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StringStruct('OriginalFilename', 'AIO.exe'),
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StringStruct('ProductName', 'AIO'),
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StringStruct('ProductVersion', '0.0.2 (2024-05-20)')])
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StringStruct('ProductVersion', '0.0.3 (2024-05-20)')])
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]),
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VarFileInfo([VarStruct('Translation', [1033, 1200])])
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]
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