本文介绍了如何在命令行中为池进程创建进度条?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有几个使用多处理池运行的脚本,我正在尝试根据完成的脚本做一个进度条。我检查了https://stackoverflow.com/questions/3173320/text-progress-bar-in-the-console#=
但我想不出如何组合在柜台中完成的脚本
import os
from multiprocessing import Pool
def run_process(process):
os.system('python {}'.format(process))
processes = ('script1.py', 'script2.py','script3.py','script4.py')
if __name__ == "__main__":
pool = Pool(processes=2)
pool.map(run_process, processes)
推荐答案
这里有一个略有不同的方法,它使用concurrent.futures.ThreadPoolExecutor
而不是multiprocessing.Pool
,这使它比other answer中的内容更简单、更高效。
注意它使用与我的其他答案中相同的print_progress_bar.py
模块。
import concurrent.futures
import os
import subprocess
import sys
from print_progress_bar import print_progress_bar
progress_bar_kwargs = dict(prefix='Progress:', suffix='Complete', length=40)
# To simplify testing just using one script multiple times.
processes = ('./mp_scripts/script1.py', './mp_scripts/script1.py',
'./mp_scripts/script1.py', './mp_scripts/script1.py')
process_count = 0
def run_process(process):
global process_count
subprocess.run([sys.executable, process])
# Update process count and progress bar when it's done.
process_count += 1
print_progress_bar(process_count, len(processes), **progress_bar_kwargs)
print_progress_bar(0, len(processes), **progress_bar_kwargs) # Print 0% progress.
with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
future_to_process = {executor.submit(run_process, process): process
for process in processes}
for future in concurrent.futures.as_completed(future_to_process):
process = future_to_process[future]
try:
_ = future.result()
except Exception as exc:
print()
print(f'{process} generated an exception: {exc}')
print('Done')
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