从 gevent-subprocess 获取实时标准输出?

2023-07-21Python开发问题
3

本文介绍了从 gevent-subprocess 获取实时标准输出?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跟版网的小编来一起学习吧!

问题描述

我正在尝试通过 POPEN 获取进程的标准输出,只要它存在.使用 gevent 1.0 readline() 和 read() 仍然会阻塞进程并等待进程完成.有什么线索吗?是的,我到处寻找一个简单的解决方案.不用线程就必须是可能的,对吧?

I'm trying to get the stdout of a process via POPEN as soon as it's there. With gevent 1.0 readline() and read() still block process and wait for process to finish. Any clues? And yes, I searched high and low for a simple solution. It has to be possible without threading, right?

推荐答案

我用一个小技巧解决了这个问题.每当将一行写入标准输出时,只需使用 self.stream.flush() 和一个辅助类刷新 Python 的行缓冲区.

I solved this using a little hack. Just flush Pythons line-buffer w/ self.stream.flush() and a helper class whenever a line is written to stdout.

这篇关于从 gevent-subprocess 获取实时标准输出?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11