python中的自定义模式匹配答案

【问题标题】：Custom pattern matching in pythonpython中的自定义模式匹配
【发布时间】：2022-12-04 13:55:36
【问题描述】：

I am trying to write a simple python program to read a log file and extract specific values I have the following log line I want to look out for

2022-12-02 13:13:10.539 [metrics-writer-1] [INFO ] metrics - type=GAUGE, name=Topic.myTopic1.TotalIncomingBytes.Count, value=20725269

I have many topics such as myTopic2, myTopic3 etc

I want to be able to detect all such lines which show the total incoming bytes for various topics and extract the value. Is there any easy and efficient way to do so ? basically I want to be able to detect the following pattern

2022-12-02 13:13:10.539 [metrics-writer-1] [INFO ] metrics - type=GAUGE, name=Topic.${}.TotalIncomingBytes.Count, value=${}

Ignoring the timestamp ofcourse

If it were me, I\'d look for lines where \'[INFO ] metrics\' in line, then split on \' - \' (space dash space), then split the second have on \", \", and split those parts on = to get name/value pairs. Now you can store them in a dictionary.

标签： python

【解决方案1】：

【解决方案2】：