[init] v0.0.1 drafts
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# coding: utf-8
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import os
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import pandas as pd
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import openpyxl
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from win32com.client import DispatchEx
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import time
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def just_open(filename):
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"""
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功能：为了让有公式的excel计算出数值，进而做下一步处理
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参考：
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1. https://blog.csdn.net/claria029/article/details/116486904
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2. https://blog.csdn.net/zhfak/article/details/125382349
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参数：文件路径，一定是 r'D:\\Syncthing\\company\\D-测试工作\\X-自动化测试\\01-制动数据处理\test.xlsx' 的格式
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返回值：无
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"""
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xlApp = DispatchEx("Excel.Application")
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xlApp.Visible = False
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xlBook = xlApp.Workbooks.Open(filename)
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xlApp.DisplayAlerts = 0
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xlBook.SaveAs(filename)
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xlBook.Close()
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def traversal_files(path):
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"""
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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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参数：路径
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返回值：无
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"""
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dirs = []
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files = []
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for item in os.scandir(path):
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if item.is_dir():
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dirs.append(item.path)
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elif item.is_file():
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files.append(item.path)
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return dirs, files
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def find_row_start(excel_file, ws_data, conditions):
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"""
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函数功能：查找数据文件中有效数据的行号
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:param excel_file: excel 文件的路径
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:param ws_data: excle 中数据页的指针
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:param conditions: 通过路径特征提取出来的信息，比如 ['reaach100', 'speed66']
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:return: 有效数据的起始行行号
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"""
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global AV
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global RR
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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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while row_start > 0:
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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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break
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else:
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row_start -= 200
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else:
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print(f"{excel_file.replace('xlsx', 'data')}, 这个文件数据有问题，请检查......")
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os.remove(excel_file)
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exit(9)
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return row_max, row_start
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def find_result_sheet_name(conditions, count):
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# 该函数比较简单，功能是获取结果文件准确的sheet页名称
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# 33%臂展_33%速度_正1
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reach = conditions[0].removeprefix('reach')
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speed = conditions[1].removeprefix('speed')
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result_sheet_name = f"{reach}%臂展_{speed}%速度_正{count}"
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return result_sheet_name
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def copy_data_to_result(ws_data, ws_result, row_max, row_start):
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"""
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函数功能：将数据文件中有效数据拷贝至结果文件对应的 sheet
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:param ws_data: excle 中数据页的指针
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:param ws_result: 结果文件对应 sheet 的指针
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:param row_max: 数据文件中获取到的最后一行的行号
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:param row_start: 数据文件中获取到的第一行有效行的行号
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:return: -
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"""
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# 结果文件数据清零
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for row in ws_result.iter_rows(min_row=2, min_col=1, max_row=6000 - row_start + 2, max_col=2):
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for cell in row:
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cell.value = None
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# 将合适的数据复制到结果文件
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data = []
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for row in ws_data.iter_rows(min_row=row_start, min_col=1, max_row=row_max, max_col=2):
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for cell in row:
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data.append(cell.value)
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i = 0
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for row in ws_result.iter_rows(min_row=2, min_col=1, max_row=row_max - row_start + 2, max_col=2):
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for cell in row:
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cell.value = data[i]
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i = i + 1
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def copy_data_to_excel_file(wb_data, ws_result, row_max, row_start, excel_file):
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"""
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:param wb_data: excel 的指针
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:param ws_result: 结果文件对应 sheet 的指针
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:param row_max: 数据文件中获取到的最后一行的行号
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:param row_start: 数据文件中获取到的第一行有效行的行号
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:param excel_file: excel 文件的路径
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:return: wb_data 是新打开的 excel 文件的指针，ws_dp 是新打开的 excel 文件中的 dp 页指针
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"""
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try:
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del wb_data['dp']
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wb_data.create_sheet('dp')
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ws_dp = wb_data['dp']
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except:
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wb_data.create_sheet('dp')
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ws_dp = wb_data['dp']
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data = []
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for row in ws_result.iter_rows(min_row=1, min_col=1, max_row=row_max-row_start+2, max_col=5):
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for cell in row:
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data.append(cell.value)
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i = 0
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for row in ws_dp.iter_rows(min_row=1, min_col=1, max_row=row_max-row_start+2, max_col=5):
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for cell in row:
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cell.value = data[i]
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i = i + 1
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global RC
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global RR
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ws_dp.cell(row=5, column=7).value = RC
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ws_dp.cell(row=6, column=7).value = RR
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wb_data.save(excel_file)
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just_open(excel_file) # 为了能读取到公式计算的数值，必须要用 win32com 打开关闭一次
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wb_data = openpyxl.load_workbook(excel_file, data_only=True)
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ws_dp = wb_data['dp']
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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):
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"""
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函数功能：获取结果文件 G2 单元格的数据值
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:param ws_dp: excel 中新建 sheet 的指针
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:param row_max: 数据文件中获取到的最后一行的行号
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:param row_start: 数据文件中获取到的第一行有效行的行号
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:param conditions: 通过路径特征提取出来的信息，比如 ['reaach100', 'speed66']
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:return: 返回 excel 中 dp 这个 sheet 中的有效数据行号，并做了加工处理，因为结果文件的部分属性
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"""
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global 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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print(f"row_start_dp = {row_start_dp}")
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while row_start_dp > 1:
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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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# 确认数据有效后，开始查找 G2 的值，这里使用到的原理是：
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# 1. 计算连续 5 个点的平均值
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# 2. 和当前测试条件下的最大值做差，如果绝对值在 1 之内，则认定获取到了该值
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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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_d = float(ws_dp.cell(row=row_start_dp - 3, column=4).value)
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_e = float(ws_dp.cell(row=row_start_dp - 4, column=4).value)
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avg = (_a + _b + _c + _d + _e) / 5
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if abs(avg - av_max) < 1:
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row_start_dp = row_start_dp + 10 - 5 # +10 是因为结果文件 C2 的值是 10，-5是做了保守处理，相当于再往前移动 5 个点位
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break
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else:
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row_start_dp -= 5 # 保守一点，每次移动 5 个点位，如果想要加快程序运行，可适当调整更大一些，建议不超过 15
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else:
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print("数据有误，请确认！")
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print("未找到平衡的点")
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exit(1)
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return row_start_dp
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def single_file_process(data_file, wb_result, count):
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"""
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函数功能：完成单个数据文件的处理：
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1. 将 .data -> .xslx（excel）
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2. 根据文件路径特征，获取到结果文件准确的 sheet name
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3. 找到数据文件有效的起始点位置
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4. 将有效数据 copy 到结果文件对应的 sheet 中的对应位置
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5. 结果文件对应 sheet 中会根据公式生成一部分数据，需要将这部分数据 copy 到 excle 中
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6. 将 excel 处理一下，获取合适的开始点位置，这个开始点指的是要写入结果文件中的 G2 单元格的值
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7. 写入正确的值，int 类型
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:param data_file: 数据文件，数据处理的最小单位
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:param wb_result: 结果文件的指针，可以理解为打开的结果文件的句柄，从该变量引用到其他sheet
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:param count: 计数器，对应急停的 1/2/3 次
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:return: -
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"""
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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.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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print(f"conditions = {conditions}")
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result_sheet_name = find_result_sheet_name(conditions, count)
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ws_result = wb_result[result_sheet_name]
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wb_data = openpyxl.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)
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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)
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row_start_dp = find_row_start_dp(ws_dp, row_max, row_start, conditions)
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ws_result["G2"] = int(row_start_dp)
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wb_data.save(excel_file)
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wb_data.close()
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def data_process(result_file, raw_data_dirs):
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"""
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函数功能：完成一个结果文件的数据处理
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:param result_file: 每次处理一个结果文件
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:param raw_data_dirs: 传入所有的数据文件夹，做筛选
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:return: -
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"""
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prefix = result_file.split('\\')[-1].split('_')[0]
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print(f"prefix = {prefix}")
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print(f"raw_data_dirs = {raw_data_dirs}")
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wb_result = openpyxl.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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if raw_data_dir.split('\\')[-1].split('_')[0] == prefix:
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print(f"正在处理【{raw_data_dir}】中的数据......")
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_, data_files = traversal_files(raw_data_dir)
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count = 1 # 计数器，对应三次急停数据
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for data_file in sorted(data_files):
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print(f"正在处理【{data_file}】....")
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print(f"count = {count}")
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single_file_process(data_file, wb_result, count)
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count += 1
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wb_result.save(result_file)
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wb_result.close()
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def check_files(raw_data_dirs, result_files):
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if len(result_files) != 3:
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print("结果文件数目错误，请参考 readme.txt 中的规则。")
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exit(3)
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prefix = []
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for result_file in result_files:
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prefix.append(result_file.split('\\')[-1].split('_')[0])
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if not sorted(prefix) == sorted(['load33', 'load66', 'load100']):
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wd = result_file.split('\\')
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del wd[-1]
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wd = '\\'.join(wd)
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print(f"请关闭所有相关数据文件，并检查工作目录【{wd}】下，有且只允许有类似如下三个文件：")
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print("1. load33_自研_制动性能测试.xlsx")
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print("2. load66_自研_制动性能测试.xlsx")
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print("3. load100_自研_制动性能测试.xlsx")
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exit(8)
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for raw_data_dir in raw_data_dirs:
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prefix = raw_data_dir.split('\\')[-1].split('_')[0]
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if prefix not in ['load33', 'load66', 'load100']:
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print(f"报错信息：数据目录【{raw_data_dir}】不合规，请参考如下形式。")
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print("命名规则：\n\t1. loadAA_speedBB_reachCC\n\t2. loadAA_reachBB_speedCC")
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print("规则解释：AA/BB/CC 指的是负载/速度/臂展的比例，比如 load66_speed100_reach33 意思是 66% 负载，100% 速度以及 33% 臂展情况下的测试结果文件夹。")
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exit(7)
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_, raw_data_files = traversal_files(raw_data_dir)
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if len(raw_data_files) != 3:
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print(f"数据目录【{raw_data_dir}】下数据文件个数错误，每个数据目录下有且只能有三个以 .data 为后缀的数据文件。")
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exit(6)
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for raw_data_file in raw_data_files:
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if not raw_data_file.split('\\')[-1].endswith('.data'):
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print(f"数据文件【{raw_data_file}】后缀错误，每个数据目录下有且只能有三个以 .data 为后缀的数据文件。")
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exit(5)
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print("数据目录合规性检查结束......")
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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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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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if raw_data_file.endswith('.xlsx'):
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os.remove(raw_data_file)
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def main():
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time_start = time.time() # 记录开始时间
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global data_dir
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raw_data_dirs, result_files = traversal_files(data_dir)
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print("#调试信息======================================")
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print(f"结果文件：{result_files}")
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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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for result_file in result_files:
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print(f"正在整理【{result_file}】文件的数据......")
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data_process(result_file, raw_data_dirs)
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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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time_end = time.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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print(f"数据处理时间：{time_total//3600:02} h {time_total % 3600/60:05.2f} min")
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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
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global AV
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global RR
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global RC
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data_dir = r'D:\Syncthing\company\D-测试工作\X-自动化测试\99-Data\j1'
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AV = 180 # AV for Angular velocity
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RR = 120 # RR for Angular velocity
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RC = 5.6 # RC for Rated Current
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if __name__ == "__main__":
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main()
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