328 lines
13 KiB
Python
328 lines
13 KiB
Python
# coding: utf-8
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from os import scandir
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from os.path import isfile, exists
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from sys import argv
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from openpyxl import load_workbook
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from time import time, sleep, strftime, localtime
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from threading import Thread
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from pandas import read_csv
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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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# 参数：路径
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# 返回值：路径下的文件夹列表 路径下的文件列表
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if not exists(path):
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msg = f'数据文件夹{path}不存在，请确认后重试......'
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w2t(msg)
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else:
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dirs = []
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files = []
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for item in 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 get_threshold_step(excel_file, axis):
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# 功能：负载和速度100%，且是j2的时候，做特殊处理
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# 参数：新生成的excel，轴号
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# 返回值：速度差阈值，处理步长
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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 == 2:
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threshold = 30
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step = 5
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else:
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threshold = 10
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step = 5
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return threshold, step
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def find_row_start(data_file, df, conditions, av, rr, axis, vel, trq, w2t, rpm):
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# 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
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# 参数：如上
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# 返回值：速度下降点位，最后的数据点位
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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 = row_start = df.index[-1]
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threshold, step = get_threshold_step(data_file, axis)
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while row_start > step+1:
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speed = df.iloc[row_start, vel-1] * rpm
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if int(speed) < 1:
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row_start -= 50
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continue
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_ = []
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for i in range(row_start, row_start-step+1, -1):
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_.append(df.iloc[i, vel-1] * rpm)
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speed_avg = abs(sum(_))/len(_)
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if abs(speed_avg-speed_max) < threshold:
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row_start = row_start - 10
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break
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else:
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row_start -= step
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else:
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msg = f"可能是{data_file}这个文件数据采集有问题，比如未采集理论速度值，也有可能是程序步长设定问题，请检查......"
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w2t(msg)
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return row_max, row_start
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def find_result_sheet_name(conditions, count):
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# 功能：获取结果文件准确的sheet页名称
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# 参数：臂展和速度的列表
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# 返回值：结果文件对应的sheet name
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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(df, ws_result, row_max, row_start, vel, trq, rpm):
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# 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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# 参数：如上
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# 返回值：-
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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=2000, 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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row_max = row_start + 399 if row_max-row_start > 400 else row_max
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rc = 1 if rpm == 1 else 1000
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data = []
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for i in range(row_start, row_max+1):
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data.append(df.iloc[i, vel-1] * rpm)
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data.append(df.iloc[i, trq-1] * rc)
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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 single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, rpm):
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# 功能：完成单个数据文件的处理
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# 参数：如上
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# 返回值：-
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if data_file.endswith('.data'):
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sep = '\t'
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df = read_csv(data_file, sep=sep)
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elif data_file.endswith('.csv'):
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sep = ','
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df = read_csv(data_file, sep=sep, encoding='gbk', header=8)
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conditions = sorted(data_file.split('\\')[-2].split('_')[1:])
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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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row_max, row_start = find_row_start(data_file, df, conditions, av, rr, axis, vel, trq, w2t, rpm)
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copy_data_to_result(df, ws_result, row_max, row_start, vel, trq, rpm)
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ws_result["C2"] = int(2)
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ws_result["G2"] = int(10+4)
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def now_doing_msg(docs, flag, w2t):
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# 功能：输出正在处理的文件或目录
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# 参数：文件或目录，start 或 done 标识
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# 返回值：-
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now = strftime('%Y-%m-%d %H:%M:%S', localtime(time()))
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file_type = 'file' if isfile(docs) else 'dir'
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if flag == 'start' and file_type == 'dir':
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w2t(f"[{now}] 正在处理目录 {docs} 中的数据......")
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elif flag == 'start' and file_type == 'file':
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w2t(f"[{now}] 正在处理文件 {docs} 中的数据......")
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elif flag == 'done' and file_type == 'dir':
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w2t(f"[{now}] 目录 {docs} 数据文件已处理完毕......")
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elif flag == 'done' and file_type == 'file':
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w2t(f"[{now}] 文件 {docs} 数据已处理完毕......")
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class GetThreadResult(Thread):
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def __init__(self, func, args=()):
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super(GetThreadResult, self).__init__()
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self.func = func
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self.args = args
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self.result = 0
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def run(self):
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sleep(1)
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self.result = self.func(*self.args)
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def get_result(self):
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Thread.join(self) # 等待线程执行完毕
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try:
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return self.result
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except Exception as Err:
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return None
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def w2t_local(msg, wait, w2t):
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while True:
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global stop
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if stop == 0 and wait != 0:
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sleep(1)
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w2t(msg, wait)
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else:
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break
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def data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, rpm):
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# 功能：完成一个结果文件的数据处理
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# 参数：结果文件，数据目录，以及预读取的参数
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# 返回值：-
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file_name = result_file.split('\\')[-1]
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w2t(f"打开文件 {file_name} 需要 1min 左右", 1)
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global stop
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stop = 0
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t_excel = GetThreadResult(load_workbook, args=(result_file, ))
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t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
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t_excel.start()
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t_wait.start()
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t_excel.join()
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wb_result = t_excel.get_result()
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stop = 1
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sleep(1.1)
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w2t('')
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prefix = result_file.split('\\')[-1].split('_')[0]
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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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now_doing_msg(raw_data_dir, 'start', w2t)
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_, data_files = traversal_files(raw_data_dir, w2t)
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# 数据文件串行处理模式---------------------------------
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# count = 1
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# for data_file in data_files:
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# now_doing_msg(data_file, 'start', w2t)
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# single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, rpm)
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# count += 1
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# now_doing_msg(data_file, 'done', w2t)
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# ---------------------------------------------------
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# 数据文件并行处理模式---------------------------------
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threads = [Thread(target=single_file_process, args=(data_files[0], wb_result, 1, av, rr, axis, vel, trq, w2t, rpm)),
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Thread(target=single_file_process, args=(data_files[1], wb_result, 2, av, rr, axis, vel, trq, w2t, rpm)),
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Thread(target=single_file_process, args=(data_files[2], wb_result, 3, av, rr, axis, vel, trq, w2t, rpm))]
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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_doing_msg(raw_data_dir, 'done', w2t)
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# ---------------------------------------------------
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now_doing_msg(result_file, 'done', w2t)
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w2t(f"保存文件 {file_name} 需要 1min 左右", 1)
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stop = 0
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t_excel = Thread(target=wb_result.save, args=(result_file, ))
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t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
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t_excel.start()
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t_wait.start()
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t_excel.join()
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stop = 1
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sleep(1.1)
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w2t('\n')
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def check_files(raw_data_dirs, result_files, w2t):
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# 功能：检查数据文件以及结果文件的合规性
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# 参数：数据文件夹，结果文件
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# 返回值：-
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if len(result_files) != 3:
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msg = "结果文件数目错误，结果文件有且只有三个，请确认！"
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for result_file in result_files:
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w2t(result_file)
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w2t(msg)
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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_files[0].split('\\')
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del wd[-1]
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wd = '\\'.join(wd)
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msg = 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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1. load33_自研_制动性能测试.xlsx
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2. load66_自研_制动性能测试.xlsx
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3. load100_自研_制动性能测试.xlsx"""
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w2t(msg)
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for raw_data_dir in raw_data_dirs:
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components = raw_data_dir.split('\\')[-1].split('_')
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sorted(components)
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if components[0] not in ['load33', 'load66', 'load100'] or \
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components[1] not in ['speed33', 'speed66', 'speed100'] or \
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components[2] not in ['reach33', 'reach66', 'reach100']:
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msg = f"报错信息：数据目录 {raw_data_dir} 命名不合规，请参考如下形式\n" \
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f"命名规则：\n 1. loadAA_speedBB_reachCC\n 2. loadAA_reachBB_speedCC\n" \
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f"规则解释：AA/BB/CC 指的是负载/速度/臂展的比例\n" \
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f"load66_speed100_reach33：66% 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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w2t(msg)
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_, raw_data_files = traversal_files(raw_data_dir, w2t)
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if len(raw_data_files) != 3:
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msg = 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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w2t(msg)
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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') or raw_data_file.split('\\')[-1].endswith('.csv')):
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msg = 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/csv 为后缀的数据文件"
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w2t(msg)
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w2t("数据目录合规性检查结束，未发现问题......")
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def execution(path, av, rr, rpm, axis,vel, trq, w2t):
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# 功能：执行处理所有数据文件
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# 参数：initialization函数的返回值
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# 返回值：-
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time_start = time()
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raw_data_dirs, result_files = traversal_files(path, w2t)
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check_files(raw_data_dirs, result_files, w2t)
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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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try:
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# threads = []
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for result_file in result_files:
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if result_file.split('\\')[-1].split('_')[0] not in set(prefix):
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continue
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else:
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now_doing_msg(result_file, 'start', w2t)
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data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, rpm)
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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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except Exception as Err:
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msg = "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，也有可能是结果文件损坏，尝试重新复制一份，再运行！"
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w2t(msg)
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w2t("----------------------------------------------------------")
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w2t("全部处理完毕")
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time_end = time()
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time_total = time_end - time_start
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msg = f"数据处理时间：{time_total // 3600:02.0f} h {time_total % 3600 // 60:02.0f} min {time_total % 60:02.0f} s"
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w2t(msg)
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def main(path, av, rr, rpm, axis,vel, trq, w2t):
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execution(path, av, rr, rpm, axis,vel, trq, w2t)
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if __name__ == "__main__":
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stop = 0
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main(path=argv[1], av=argv[2], rr=argv[3], rpm=argv[4], axis=argv[5], vel=argv[6], trq=argv[7], w2t=argv[8])
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