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[transform] from scripts to independent repo

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gitea
2024-06-01 07:49:50 +08:00
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commit 0fd8a4e8b5
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# coding: utf-8
from os import scandir
from os.path import isfile, exists
from sys import argv
from openpyxl import load_workbook
from time import time, sleep, strftime, localtime
from threading import Thread
from pandas import read_csv
class GetThreadResult(Thread):
def __init__(self, func, args=()):
super(GetThreadResult, self).__init__()
self.func = func
self.args = args
self.result = 0
def run(self):
sleep(1)
self.result = self.func(*self.args)
def get_result(self):
Thread.join(self) # 等待线程执行完毕
try:
return self.result
except Exception as Err:
return None
def data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, rpm):
# 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)
global stop
stop = 0
t_excel = GetThreadResult(load_workbook, args=(result_file, ))
t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
t_excel.start()
t_wait.start()
t_excel.join()
wb_result = t_excel.get_result()
stop = 1
sleep(1.1)
w2t('')
prefix = result_file.split('\\')[-1].split('_')[0]
for raw_data_dir in raw_data_dirs:
if raw_data_dir.split('\\')[-1].split('_')[0] == prefix:
now_doing_msg(raw_data_dir, 'start', w2t)
_, data_files = traversal_files(raw_data_dir, w2t)
# 数据文件串行处理模式---------------------------------
# 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, rpm)
# 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, rpm)),
Thread(target=single_file_process, args=(data_files[1], wb_result, 2, av, rr, axis, vel, trq, w2t, rpm)),
Thread(target=single_file_process, args=(data_files[2], wb_result, 3, av, rr, axis, vel, trq, w2t, rpm))]
[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)
stop = 0
t_excel = Thread(target=wb_result.save, args=(result_file, ))
t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
t_excel.start()
t_wait.start()
t_excel.join()
stop = 1
sleep(1.1)
w2t('\n')
def check_files(raw_data_dirs, result_files, w2t):
# 功能：检查数据文件以及结果文件的合规性
# 参数：数据文件夹，结果文件
# 返回值：-
if len(result_files) != 3:
msg = "结果文件数目错误，结果文件有且只有三个，请确认！"
for result_file in result_files:
w2t(result_file)
w2t(msg, 0, 2)
prefix = []
for result_file in result_files:
prefix.append(result_file.split('\\')[-1].split('_')[0])
if not sorted(prefix) == sorted(['load33', 'load66', 'load100']):
wd = result_files[0].split('\\')
del wd[-1]
wd = '\\'.join(wd)
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：
1. load33_自研_制动性能测试.xlsx
2. load66_自研_制动性能测试.xlsx
3. load100_自研_制动性能测试.xlsx"""
w2t(msg, 0, 3)
for raw_data_dir in raw_data_dirs:
components = raw_data_dir.split('\\')[-1].split('_')
sorted(components)
if components[0] not in ['load33', 'load66', 'load100'] or \
components[1] not in ['speed33', 'speed66', 'speed100'] or \
components[2] not in ['reach33', 'reach66', 'reach100']:
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" \
f"命名规则：\n 1. loadAA_speedBB_reachCC\n 2. loadAA_reachBB_speedCC\n" \
f"规则解释：AA/BB/CC 指的是负载/速度/臂展的比例\n" \
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"
w2t(msg, 0, 4)
_, raw_data_files = traversal_files(raw_data_dir, w2t)
if len(raw_data_files) != 3:
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"
w2t(msg, 0, 5)
for raw_data_file in raw_data_files:
if not (raw_data_file.split('\\')[-1].endswith('.data') or raw_data_file.split('\\')[-1].endswith('.csv')):
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"
w2t(msg, 0, 6)
w2t("数据目录合规性检查结束，未发现问题......")
def now_doing_msg(docs, flag, w2t):
# 功能：输出正在处理的文件或目录
# 参数：文件或目录，start 或 done 标识
# 返回值：-
now = strftime('%Y-%m-%d %H:%M:%S', localtime(time()))
file_type = 'file' if isfile(docs) else 'dir'
if flag == 'start' and file_type == 'dir':
w2t(f"[{now}] 正在处理目录 {docs} 中的数据......")
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......")
elif flag == 'done' and file_type == 'file':
w2t(f"[{now}] 文件 {docs} 数据已处理完毕......")
def w2t_local(msg, wait, w2t):
while True:
global stop
if stop == 0 and wait != 0:
sleep(1)
w2t(msg, wait)
else:
break
def single_file_process(data_file, wb_result, count, av, rr, axis, vel, trq, w2t, rpm):
# 功能：完成单个数据文件的处理
# 参数：如上
# 返回值：-
if data_file.endswith('.data'):
sep = '\t'
df = read_csv(data_file, sep=sep)
elif data_file.endswith('.csv'):
sep = ','
df = read_csv(data_file, sep=sep, encoding='gbk', header=8)
conditions = sorted(data_file.split('\\')[-2].split('_')[1:])
result_sheet_name = find_result_sheet_name(conditions, count)
ws_result = wb_result[result_sheet_name]
row_max, row_start, flag = find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, rpm)
copy_data_to_result(flag, df, ws_result, row_max, row_start, vel, trq, rpm)
ws_result["C2"] = int(2)
ws_result["G2"] = int(10+4)
def copy_data_to_result(flag, df, ws_result, row_max, row_start, vel, trq, rpm):
# 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：-
# 结果文件数据清零
for row in ws_result.iter_rows(min_row=2, min_col=1, max_row=2000, max_col=2):
for cell in row:
cell.value = None
if flag == 1:
# 将合适的数据复制到结果文件
row_max = row_start + 399 if row_max-row_start > 400 else row_max
rc = 1 if rpm == 1 else 1000
data = []
for i in range(row_start, row_max+1):
data.append(df.iloc[i, vel-1] * rpm)
data.append(df.iloc[i, trq-1] * rc)
i = 0
for row in ws_result.iter_rows(min_row=2, min_col=1, max_row=row_max - row_start + 2, max_col=2):
for cell in row:
cell.value = data[i]
i = i + 1
else:
pass
def find_result_sheet_name(conditions, count):
# 功能：获取结果文件准确的sheet页名称
# 参数：臂展和速度的列表
# 返回值：结果文件对应的sheet name
# 33%臂展_33%速度_正1
reach = conditions[0].removeprefix('reach')
speed = conditions[1].removeprefix('speed')
result_sheet_name = f"{reach}%臂展_{speed}%速度_正{count}"
return result_sheet_name
def find_row_start(data_file, df, conditions, av, rr, axis, vel, w2t, rpm):
# 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[1].removeprefix('speed'))/100
speed_max = av * ratio * rr / 6
row_max = row_start = df.index[-1]
threshold, step = get_threshold_step(data_file, axis)
while row_start > step+1:
speed = abs(df.iloc[row_start, vel-1] * rpm)
if int(speed) < 1:
row_start -= 50
continue
_ = []
for i in range(row_start, row_start-step+1, -1):
_.append(df.iloc[i, vel-1] * rpm)
speed_avg = abs(sum(_))/len(_)
if abs(speed_avg-speed_max) < threshold:
row_start = row_start - 10
flag = 1
break
else:
row_start -= step
else:
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......"
w2t(msg)
flag = 0
return row_max, row_start, flag
def get_threshold_step(excel_file, axis):
# 功能：负载和速度100%，且是j2的时候，做特殊处理
# 参数：新生成的excel，轴号
# 返回值：速度差阈值，处理步长
conditions = sorted(excel_file.split('\\')[-2].split('_'))
# 只有负载和速度是100%时，才会启用更敏感的step
flg = 1 if conditions[0][-3:] == '100' and conditions[2][-3:] == '100' else 0
if flg == 1 and axis == 2:
threshold = 30
step = 5
else:
threshold = 10
step = 5
return threshold, step
def traversal_files(path, w2t):
# 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
# 参数：路径
# 返回值：路径下的文件夹列表 路径下的文件列表
if not exists(path):
msg = f'数据文件夹{path}不存在，请确认后重试......'
w2t(msg, 0, 1)
else:
dirs = []
files = []
for item in scandir(path):
if item.is_dir():
dirs.append(item.path)
elif item.is_file():
files.append(item.path)
return dirs, files
def main(path, av, rr, rpm, axis, vel, trq, 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：-
time_start = time()
raw_data_dirs, result_files = traversal_files(path, w2t)
prefix = []
for raw_data_dir in raw_data_dirs:
prefix.append(raw_data_dir.split('\\')[-1].split("_")[0])
try:
# threads = []
check_files(raw_data_dirs, result_files, w2t)
for result_file in result_files:
if result_file.split('\\')[-1].split('_')[0] not in set(prefix):
continue
else:
now_doing_msg(result_file, 'start', w2t)
data_process(result_file, raw_data_dirs, av, rr, axis, vel, trq, w2t, rpm)
# 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]
except Exception as Err:
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！"
w2t(msg)
w2t("----------------------------------------------------------")
w2t("全部处理完毕")
time_end = time()
time_total = time_end - time_start
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"
w2t(msg)
if __name__ == "__main__":
stop = 0
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])