regex - 将字符串格式化为XML文件

Question

我想将字符串重新格式化为XML结构，但是我的字符串不是XML格式(使用Python 2.7)。
我相信正确的方法是先在一行中创建输入的XML格式，然后使用XML Pretty Print将其制成具有多行和缩进的XML文件(
Pretty printing XML in Python)。
下面是历史服务器REST API调用Hadoop服务器1之后的输入示例。
输入:

'{"jobAttempts":{"jobAttempt":[{"nodeHttpAddress":"slave2:8042","nodeId":"slave2:39637","id":1,"startTime":1544691730439,"containerId":"container_1544631848492_0013_01_000001","logsLink":"http://23.22.43.90:19888/jobhistory/logs/slave2:39637/container_1544631848492_0013_01_000001/job_1544631848492_0013/hadoop2"}]}}' 

输出:

'<jobAttempts><jobAttempt><nodeHttpAddress>slave2:8042</nodeHttpAddress><nodeId>slave2:39637</nodeId><id>1</id><startTime>1544691730439</startTime><containerId>container_1544631848492_0013_01_000001</containerId><logsLink>http://23.22.43.90:19888/jobhistory/logs/slave2:39637/container_1544631848492_0013_01_000001/job_1544631848492_0013/hadoop2</logsLink></jobAttempt></jobAttempts>' 

最终输出

<jobAttempts>
    <jobAttempt>
        <nodeHttpAddress>slave2:8042</nodeHttpAddress>
        <nodeId>slave2:39637</nodeId>
        <id>1</id>
        <startTime>1544691730439</startTime>
        <containerId>container_1544631848492_0013_01_000001</containerId>
    <logsLink>http://23.22.43.90:19888/jobhistory/logs/slave2:39637/container_1544631848492_0013_01_000001/job_1544631848492_0013/hadoop2</logsLink>
    </jobAttempts>
</jobAttempt>

*此字符串实际上是一个XML文件，似乎没有与之关联的任何样式信息。

Answer 1

我发现，History Server REST API的源 View 确实是一行中的XML文件。因此，我不得不阅读源代码 View ，而不是使用python的老问题 View 。
在我使用之前

import urllib2
contents = urllib2.urlopen("http://http://23.22.43.90:19888/ws/v1/history/mapreduce/jobs/job_1544631848492_0013//jobattempts").read()

现在，我正在下载selenium和BeautifulSoup的html页面的源 View ，并将其保存在本地。

from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import xml.dom.minidom
driver = webdriver.Firefox()
driver.get("http://23.22.43.90:19888/ws/v1/history/mapreduce/jobs/job_1544631848492_0013/jobattempts")
page_source = driver.page_source
driver.close()
soup = BeautifulSoup(page_source, "html.parser")
print(soup)
xml = xml.dom.minidom.parseString(str(soup))
pretty_xml_as_string = xml.toprettyxml()
file = open("./content_new_2.xml", 'w')
file.write(pretty_xml_as_string)
file.close()