问题描述
jenkins-job-builder 是帮助我维持工作的好工具在 YAML
文件中.请参阅配置章节中的示例.
jenkins-job-builder is a nice tool to help me to maintain jobs in YAML
files. see example in configuration chapter.
现在我有很多旧的 jenkins 作业,如果有一个 python 脚本 xml2yaml
将现有的 jenkins 作业 config.xml
转换为 YAML,那就太好了
文件格式.
Now I had lots of old jenkins jobs, it will be nice to have a python script xml2yaml
to convert the existing jenkins job config.xml
to YAML
file format.
你有什么建议可以在 python 中快速解决吗?
Do you any suggestions to had a quick solution in python ?
我不需要直接在jenkins-job-builder
中使用,直接转成YAML供参考即可.
I don't need it to be used in jenkins-job-builder
directly, just can be converted it into YAML for reference.
对于转换,某些部分可以忽略,例如命名空间.
For the convert, some part can be ignored like namespace.
config.xml
段看起来像:
<project>
<logRotator class="hudson.tasks.LogRotator">
<daysToKeep>-1</daysToKeep>
<numToKeep>20</numToKeep>
<artifactDaysToKeep>-1</artifactDaysToKeep>
<artifactNumToKeep>-1</artifactNumToKeep>
</logRotator>
...
</project>
yaml
输出可能是:
- project:
logrotate:
daysToKeep: -1
numToKeep: 20
artifactDaysToKeep: -1
artifactNumToKeep: -1
如果不熟悉jenkins中的config.xml
,可以查看infra_backend-merge-all-repo 作业">https://ci.jenkins-ci.org
If you are not familiar with config.xml
in jenkins, you can check infra_backend-merge-all-repo job in https://ci.jenkins-ci.org
推荐答案
很难从你的问题中确切地看出你在这里寻找什么,但假设你正在寻找基本结构:
It's hard to tell from your question exactly what you're looking for here, but assuming you're looking for the basic structure:
Python 在大多数平台上都对 XML 解析提供了良好的支持.您可能会想要使用一些简单易用的东西,例如 minidom.请参阅 Python 文档中的 XML 处理模块,了解您的 Python 版本.
Python has good support on most platforms for XML Parsing. Chances are you'll want to use something simple and easy to use like minidom. See the XML Processing Modules in the python docs for your version of python.
打开文件后,查找 project
然后从那里向下解析并使用简单的映射应该可以很好地工作,因为 yaml 格式很简单.
Once you've opened the file, looking for project
and then parsing down from there and using a simple mapping should work pretty well given the simplicity of the yaml format.
from xml.dom.minidom import parse
def getText(nodelist):
rc = []
for node in nodelist:
if node.nodeType == node.TEXT_NODE:
rc.append(node.data)
return ''.join(rc)
def getTextForTag(nodelist,tag):
elements = nodelist.getElementsByTagName(tag)
if (elements.length>0):
return getText( elements[0].childNodes)
return ''
def printValueForTag(parent, indent, tag, valueName=''):
value = getTextForTag( parent,tag)
if (len(value)>0):
if (valueName==''):
valueName = tag
print indent + valueName+": "+value
def emitLogRotate(indent, rotator):
print indent+"logrotate:"
indent+=' '
printValueForTag( rotator,indent, 'daysToKeep')
printValueForTag( rotator,indent, 'numToKeep')
def emitProject(project):
print "- project:"
# all projects have log rotators, so no need to chec
emitLogRotate(" ",project.getElementsByTagName('logRotator')[0])
# next section...
dom = parse('config.xml')
emitProject(dom)
此代码段将仅打印几行最终配置文件,但它为您提供了一个简单翻译器的正确方向.根据我所见,由于命名差异,自动翻译方案的空间不大.您可以在迭代更多选项并成为表驱动时简化代码,但这只是编程问题",这至少可以让您开始使用 python 中的 DOM 解析器.
This snippet will print just a few lines of the eventual configuration file, but it puts you in the right direction for a simple translator. Based on what I've seen, there's not much room for an automatic translation scheme due to naming differences. You could streamline the code as you iterate for more options and to be table driven, but that's "just a matter of programming", this will at least get you started with the DOM parsers in python.
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