Python解析xml文件： ElementTree解析xml节点属性排序问题
Python ElementTree解析xml节点属性排序问题
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- 问题摘要
- 软件环境说明
- 节点属性自定义排序
- 总结说明
问题摘要
在使用python中的xml.etree.ElementTree库解析xml文件时，节点的属性默认会被重新排序。虽然xml文件节点属性顺序并没有什么实际意义，但有时在文件的可读性上会大打折扣。以高通平台小基站射频校准配置文件为例，笔者希望该xml文件的格式如下所示，这样很容易找出Tx、Rx、Nl等等射频链路的校准配置。
<CalConfigDefinitions>
<BoardConfigs>
<BoardDef name="F02001-2" configs="F02001-2_LTE20" />
BoardConfigs>
<CalConfigs>
<CalConfig name="F02001-2_LTE5" topology="407">
<TxConfig txPathIdList="TX1,TX2" antennaNum="1,2" bwConst="LTE5" band="B41" fg="2" enableFb="false" txRefFreq="2590" listOfTxSweepFreqMhz="2498.5,2510.5,2520.5,2530.5,2540.5,2560.5,2580.5,2600.5,2620.5,2640.5,2660.5,2670.5,2680.5,2687.5" firstGainState="40" firstGainStatePowerLimitHigh="10" firstGainStatePowerLimitLow="-45" highestAllowedGainState="0" targetMaxPower="17" txDcLeakageLimit="-40" txIqImageLimit="-40" maxFreqSweepPeakToPeakDelta="10" rxFbDcLeakageLimitDbfs="-34" rxFbIqImageLimitDbc="-40" rxfbSignalDbfsMin="-20" rxfbSignalDbfsMax="0" txFreqSweepTargetReferencePowerDbm="17" txDigitalGainMaxDb="-3" txHighDcLeakageLimit="-43" txLowCutoffGainState="30" calDataAlsoAppliesTo="LTE10,LTE15,LTE20" txMonotonicCheckThresholdDb="-3" />
<RxFb1AclrNoiseCal rxfbPathIdList="FB1,FB2" bwConst="LTE5" band="B41" fg="2" freq="2590" rxfbMaxGainState="16" />
<RxConfig rxPathIdList="RX1,RX2" antennaNum="1,2" bwConst="LTE5" band="B41" fg="2" rxRefFreqMhz="2590" listOfRxSweepFreqMhz="2498.5,2510.5,2520.5,2530.5,2540.5,2560.5,2580.5,2600.5,2620.5,2640.5,2660.5,2670.5,2680.5,2687.5" rxGainStateList="0,1,2,3,4,5,6,7" rxSigGenPowersForGainState="-66,-59,-56,-51,-46,-41,-31,-21" rxDcLeakageLimitDbfs="-40" rxIqImageLimitDbc="-40" maxFreqSweepPeakToPeakDelta="10" rxSignalDbfsMin="-40" rxSignalDbfsMax="-20" calDataAlsoAppliesTo="LTE10,LTE15,LTE20" />
<RxConfig rxPathIdList="NL1" antennaNum="3" bwConst="LTE20" band="B25" fg="3" rxRefFreqMhz="1960" listOfRxSweepFreqMhz="1930,1940,1945,1950,1955,1960,1965,1970,1975,1980,1985,1990,1995" rxGainStateList="0,1,2,3,4,5" rxSigGenPowersForGainState="-65,-57,-51,-40,-29,-18" rxDcLeakageLimitDbfs="-40" rxIqImageLimitDbc="-40" maxFreqSweepPeakToPeakDelta="10" rxSignalDbfsMin="-40" rxSignalDbfsMax="-20" />
CalConfig>
CalConfigs>
CalConfigDefinitions>
笔者想实现自动生成该xml文件，但是当使用Python xml.etree.ElementTree库解析xml文件时，发现写入的节点属性顺序如下所示（默认修改成以字母排序），这样显得很混乱不易查找。下面来解决节点属性顺序变化的问题，读者不需要纠结该xml文件的实际意义，本文仅以此为例。
<CalConfigDefinitions>
<BoardConfigs>
<BoardDef configs="F02001-2_LTE20" name="F02001-2" />
BoardConfigs>
<CalConfigs>
<CalConfig name="F02001-2_LTE5" topology="407">
<TxConfig antennaNum="1,2" band="B41" bwConst="LTE5" calDataAlsoAppliesTo="LTE10,LTE15,LTE20" enableFb="false" fg="2" firstGainState="40" firstGainStatePowerLimitHigh="10" firstGainStatePowerLimitLow="-45" highestAllowedGainState="0" listOfTxSweepFreqMhz="2498.5,2510.5,2520.5,2530.5,2540.5,2560.5,2580.5,2600.5,2620.5,2640.5,2660.5,2670.5,2680.5,2687.5" maxFreqSweepPeakToPeakDelta="10" rxFbDcLeakageLimitDbfs="-34" rxFbIqImageLimitDbc="-40" rxfbSignalDbfsMax="0" rxfbSignalDbfsMin="-20" targetMaxPower="17" txDcLeakageLimit="-40" txDigitalGainMaxDb="-3" txFreqSweepTargetReferencePowerDbm="17" txHighDcLeakageLimit="-43" txIqImageLimit="-40" txLowCutoffGainState="30" txMonotonicCheckThresholdDb="-3" txPathIdList="TX1,TX2" txRefFreq="2590" />
<RxFb1AclrNoiseCal band="B41" bwConst="LTE5" fg="2" freq="2590" rxfbMaxGainState="16" rxfbPathIdList="FB1,FB2" />
<RxConfig antennaNum="1,2" band="B41" bwConst="LTE5" calDataAlsoAppliesTo="LTE10,LTE15,LTE20" fg="2" listOfRxSweepFreqMhz="2498.5,2510.5,2520.5,2530.5,2540.5,2560.5,2580.5,2600.5,2620.5,2640.5,2660.5,2670.5,2680.5,2687.5" maxFreqSweepPeakToPeakDelta="10" rxDcLeakageLimitDbfs="-40" rxGainStateList="0,1,2,3,4,5,6,7" rxIqImageLimitDbc="-40" rxPathIdList="RX1,RX2" rxRefFreqMhz="2590" rxSigGenPowersForGainState="-66,-59,-56,-51,-46,-41,-31,-21" rxSignalDbfsMax="-20" rxSignalDbfsMin="-40" />
<RxConfig antennaNum="3" band="B25" bwConst="LTE20" fg="3" listOfRxSweepFreqMhz="1930,1940,1945,1950,1955,1960,1965,1970,1975,1980,1985,1990,1995" maxFreqSweepPeakToPeakDelta="10" rxDcLeakageLimitDbfs="-40" rxGainStateList="0,1,2,3,4,5" rxIqImageLimitDbc="-40" rxPathIdList="NL1" rxRefFreqMhz="1960" rxSigGenPowersForGainState="-65,-57,-51,-40,-29,-18" rxSignalDbfsMax="-20" rxSignalDbfsMin="-40" />
CalConfig>
CalConfigs>
CalConfigDefinitions>
软件环境说明
Python版本： Python 3.7
Xml解析库： xml.etree.ElementTree
IDE： PyCharm
节点属性自定义排序
笔者使用ElementTree类中的 write 方法生成xml文件，生成的tree中的节点属性顺序是自定义的，当写入文件时顺序就会发生变化，于是怀疑文件写入时默认对属性进行了排序。
查找ElementTree.py源码，发现 _serialize_xml 方法中果然对属性进行了排序，如下代码块所示（实际下文中并非 _serialize_xml 源码，在源码基础上对xml文件进行了部分缩进处理，读者可忽略此部分处理，如果感兴趣可以查看总结说明章节参考笔者的另一篇关于xml缩进处理的博客）。注释位置通过sorted方法对节点属性进行了词汇排序，使自定义顺序被打乱。
只需要修改这一行代码，将
for k, v in sorted(items):
改成
for k, v in items:
即可实现节点属性顺序的自定义。
def _serialize_xml(write, elem, qnames, namespaces,
short_empty_elements, level=1, **kwargs):
tag = elem.tag
text = elem.text
if tag is Comment:
write("" % text)
elif tag is ProcessingInstruction:
write("" % text)
else:
tag = qnames[tag]
if tag is None:
if text:
write(_escape_cdata(text))
for e in elem:
_serialize_xml(write, e, qnames, None,
short_empty_elements=short_empty_elements)
else:
write("<" + tag)
items = list(elem.items())
if items or namespaces:
if namespaces:
for v, k in sorted(namespaces.items(),
key=lambda x: x[1]):
if k:
k = ":" + k
write(" xmlns%s=\"%s\"" % (
k,
_escape_attrib(v)
))
for k, v in sorted(items): # ##### 将此行内容替换成 for k, v in items:
if isinstance(k, QName):
k = k.text
if isinstance(v, QName):
v = qnames[v.text]
else:
v = _escape_attrib(v)
write(" %s=\"%s\"" % (qnames[k], v))
if text or len(elem) or not short_empty_elements:
write(">\n" + level * "\t")
if text:
write(_escape_cdata(text))
for e in elem:
_serialize_xml(write, e, qnames, None,
short_empty_elements=short_empty_elements,level=level+1)
write(" + tag + ">")
else:
write(" />")
if elem.tail:
write(_escape_cdata(elem.tail))
总结说明
-
文中引用的ElementTree.py中的代码并非源码，是添加了部分缩进处理之后的代码，源码生成的xml文件是没有任何缩进和换行处理的，读者大可不必纠结此部分差异。如果读者感兴趣，可以查看笔者的另一篇博客。
Python解析xml文件： ElementTree解析xml换行和缩进美化问题 -
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