re-organize file storage structure, and add API related files, just framework
This commit is contained in:
298
aio/code/data_process/brake.py
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298
aio/code/data_process/brake.py
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# 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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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 data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, estop):
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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"正在打开文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
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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, estop)
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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, estop)),
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Thread(target=single_file_process, args=(data_files[1], wb_result, 2, av, rr, axis, vel, trq, w2t, estop)),
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Thread(target=single_file_process, args=(data_files[2], wb_result, 3, av, rr, axis, vel, trq, w2t, estop))]
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[t.start() for t in threads]
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[t.join() for t in threads]
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# ---------------------------------------------------
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now_doing_msg(raw_data_dir, 'done', w2t)
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now_doing_msg(result_file, 'done', w2t)
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w2t(f"正在保存文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
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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, 0, 2, 'red')
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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(['reach33', 'reach66', 'reach100']):
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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. reach33_XXX制动性能测试.xlsx
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2. reach66_XXX制动性能测试.xlsx
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3. reach100_XX制动性能测试.xlsx"""
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w2t(msg, 0, 3, 'red')
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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 ['reach33', 'reach66', 'reach100'] or \
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components[1] not in ['load33', 'load66', 'load100'] or \
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components[2] not in ['speed33', 'speed66', 'speed100']:
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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：
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命名规则：reachAA_loadBB_speedCC
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规则解释：AA/BB/CC 指的是臂展/负载/速度的比例，例如reach66_load100_speed33：66%臂展，100%负载以及33%速度情况下的测试结果文件夹"""
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w2t(msg, 0, 4, 'red')
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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, 0, 5, 'red')
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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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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 为后缀的数据文件"
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w2t(msg, 0, 6, 'red')
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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 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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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, 0, 'orange')
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else:
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break
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def single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, estop):
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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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df = read_csv(data_file, sep='\t')
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conditions = sorted(data_file.split('\\')[-2].split('_')) # ['loadxx', 'reachxx', 'speedxx']
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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_start, row_end = find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, estop)
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copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, estop)
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def copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, estop):
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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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data = []
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for _row in range(row_start, row_end + 1):
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data.append(df.iloc[_row, vel-1])
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data.append(df.iloc[_row, trq-1])
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data.append(df.iloc[_row, estop-1])
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i = 0
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row_max = 2000 if row_end-row_start < 2000 else row_end-row_start+20
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for _row in range(2, row_max):
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try:
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ws_result.cell(row=_row, column=1).value = data[i]
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ws_result.cell(row=_row, column=2).value = data[i+1]
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ws_result.cell(row=_row, column=3).value = data[i+2]
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i += 3
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except:
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ws_result.cell(row=_row, column=1).value = None
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ws_result.cell(row=_row, column=2).value = None
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ws_result.cell(row=_row, column=3).value = None
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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%负载_33%速度_1 - ['loadxx', 'reachxx', 'speedxx']
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load = conditions[0].removeprefix('load')
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speed = conditions[2].removeprefix('speed')
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result_sheet_name = f"{load}%负载_{speed}%速度_{count}"
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return result_sheet_name
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def find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, estop):
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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[2].removeprefix('speed'))/100
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av_max = av * ratio
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row_max = df.index[-1]
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# threshold = 30 if axis == 2 and conditions[0].removeprefix('load') == '100' else 10
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threshold = 0.95
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for _row in range(row_max, -1, -1):
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if df.iloc[_row, estop-1] != 0:
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row_start = _row-20 if _row-20 > 0 else 0
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break
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else:
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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')
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for _row in range(row_start, row_max):
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speed_row = (df.iloc[_row, vel-1] * 180) / 3.1415926 * rr * 60 / 360
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if abs(speed_row) < 1:
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row_end = _row+100 if _row+100 <= row_max else row_max
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break
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else:
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w2t(f"数据文件 {data_file} 最后的速度未降为零 ", 0, 10, 'red')
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av_estop = abs((df.iloc[row_start-10:row_start+10, vel-1].abs().mean() * 180) / 3.1415926)
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if abs(av_estop/av_max) < threshold:
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filename = data_file.split('\\')[-1]
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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')
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return row_start, row_end
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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, 0, 1, 'red')
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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 main(path, av, rr, axis, vel, trq, estop, 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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try:
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# threads = []
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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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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, estop)
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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 = f"出现错误：{Err}\n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, 0, 11, 'red')
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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} m {time_total % 60:02.0f} s"
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w2t(msg)
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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], axis=argv[4], vel=argv[5], trq=argv[6], estop=argv[7], w2t=argv[8])
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