# encoding=utf-8
import os
import sys
import time
import csv
news_dict_list = []
def loging(func):
def wrapper(times, *args, **kwargs):
for i in range(times):
start_time = time.time()
struct_start_time = time.localtime(start_time)
start_struct_time = time.strftime("%Y%m%d%H%M%S", struct_start_time)
res = func(*args, **kwargs)
end_time = time.time()
struct_end_time = time.localtime(end_time)
end_struct_time = time.strftime("%Y%m%d%H%M%S", struct_end_time)
news = {"start_time": start_struct_time,
"end_time": end_struct_time, "num_round": i + 1,
"cost_time": end_time - start_time,
}
news_dict_list.append(news)
# 输出csv
headers = ['start_time', 'end_time', "num_round", "cost_time"]
with open('pwr_log.csv', mode='w', encoding='utf-8', newline='') as f:
csv_writer = csv.DictWriter(f, headers)
csv_writer.writeheader()
csv_writer.writerows(news_dict_list)
return res
return wrapper
# 修改为实际的脚本放置位置
model_path_dict = {'a': "C:\\CodeDir\\PyCode",
'b': "C:\\CodeDir\\",
"c": "C:\\Users\\Desktop\\Code",
}
# 修改为实际的脚本执行脚本
model_command_dict = {'a': "dir", 'b': "dir", "c": "dir"}
@loging
def run_command(mode):
# 针对不同模块取不同的值
model_path = model_path_dict.get(mode)
model_command = model_command_dict.get(mode)
pwd_before_changed = os.getcwd()
# change dir
os.chdir(model_path)
pwd_after_changed = os.getcwd()
# 目录判断,报错退出
if pwd_after_changed != model_path:
print("Error dir ")
sys.exit()
os.system(model_command)
time.sleep(1)
# 退回原目录
os.chdir(pwd_before_changed)
return mode
if __name__ == '__main__':
n = int(input("输入执行次数:\n"))
m = input('a b c :\n')
run_command(n, m)
执行脚本装饰器记录每次执行时间
Python脚本执行与性能记录
最新推荐文章于 2025-10-20 15:44:50 发布
本文介绍了一个Python脚本,该脚本能根据指定次数执行不同的命令,并记录每次执行的开始时间、结束时间及耗时。此外,脚本还会将这些性能数据输出到CSV文件中以供后续分析。
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