使用lxml获取xmld

Question

应该是一个简单的问题来回答你的Python大师！你知道吗

我有这个我正试图解析的XML信息（它来自一个URL）

<calculateRouteResponse xmlns="http://api.tomtom.com/routing" formatVersion="0.0.12">
<copyright>...</copyright>
<privacy>...</privacy>
<route>
<summary>
<lengthInMeters>5144</lengthInMeters>
<travelTimeInSeconds>687</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:16:06+11:00</departureTime>
<arrivalTime>2018-01-16T11:27:33+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>478</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>687</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>687</liveTrafficIncidentsTravelTimeInSeconds>
</summary>
<leg>
<summary>
<lengthInMeters>806</lengthInMeters>
<travelTimeInSeconds>68</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:16:06+11:00</departureTime>
<arrivalTime>2018-01-16T11:17:14+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>59</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>68</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>68</liveTrafficIncidentsTravelTimeInSeconds>
</summary>
<points>...</points>
</leg>
<leg>
<summary>
<lengthInMeters>958</lengthInMeters>
<travelTimeInSeconds>114</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:17:14+11:00</departureTime>
<arrivalTime>2018-01-16T11:19:08+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>77</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>114</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>114</liveTrafficIncidentsTravelTimeInSeconds>
</summary>
<points>...</points>
</leg>
<leg>
<summary>
<lengthInMeters>1798</lengthInMeters>
<travelTimeInSeconds>224</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:19:08+11:00</departureTime>
<arrivalTime>2018-01-16T11:22:53+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>181</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>224</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>224</liveTrafficIncidentsTravelTimeInSeconds>
</summary>
<points>...</points>
</leg>
<leg>
<summary>
<lengthInMeters>1582</lengthInMeters>
<travelTimeInSeconds>280</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:22:53+11:00</departureTime>
<arrivalTime>2018-01-16T11:27:33+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>160</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>280</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>280</liveTrafficIncidentsTravelTimeInSeconds>
</summary>
<points>...</points>
</leg>
<sections>
<section>
<startPointIndex>0</startPointIndex>
<endPointIndex>139</endPointIndex>
<sectionType>TRAVEL_MODE</sectionType>
<travelMode>car</travelMode>
</section>
</sections>
</route>
</calculateRouteResponse>

我有一个脚本，我正试图用它来获取特定的信息。你知道吗

from lxml import etree
import urllib.request

def parseXML(xmlFile):
    """
    Parse the xml
    """
    with urllib.request.urlopen("https://api.tomtom.com/routing/1/calculateRoute/-37.79205923474775,145.03010268799338:-37.798883995180496,145.03040309540322:-37.807106781970354,145.02895470253526:-37.80320743019992,145.01021142594075:-37.79990,144.99318476311566:?routeType=shortest&key=xxxx&computeTravelTimeFor=all") as fobj:
        xml = fobj.read()
#Look at Parent and Child XML organisation as this is where the data is going wrong at the moment
    root = etree.fromstring(xml)

    for appt in root.getchildren():
        for elem in appt.getchildren():
            if not elem.text:
                text = "None"
            else:
                text = elem[0][0].text

            ##This is doing something with the xml based on it's tag and value.
            if elem.tag == 'travelTimeInSeconds' and int(text) > 700:
                print('******** Do something with ', elem.tag, ' : ', text)
            print(elem.tag + " => " + text)

if __name__ == "__main__":
    parseXML("example.xml")

我得到的输出仅仅来自summary和leg选项卡。你知道吗

例如

期望的输出是这样的

<summary>
<lengthInMeters>5144</lengthInMeters>
<travelTimeInSeconds>687</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:16:06+11:00</departureTime>
<arrivalTime>2018-01-16T11:27:33+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>478</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>687</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>687</liveTrafficIncidentsTravelTimeInSeconds>
</summary>

如果可能的话，每一条腿（so->

<leg>
<summary>
<lengthInMeters>958</lengthInMeters>
<travelTimeInSeconds>114</travelTimeInSeconds>
<trafficDelayInSeconds>0</trafficDelayInSeconds>
<departureTime>2018-01-16T11:17:14+11:00</departureTime>
<arrivalTime>2018-01-16T11:19:08+11:00</arrivalTime>
<noTrafficTravelTimeInSeconds>77</noTrafficTravelTimeInSeconds>
<historicTrafficTravelTimeInSeconds>114</historicTrafficTravelTimeInSeconds>
<liveTrafficIncidentsTravelTimeInSeconds>114</liveTrafficIncidentsTravelTimeInSeconds>
</summary>
</leg>

XML标记之间的数据，例如1582表示长度（以米为单位）

如何更改此脚本以获取长度表、traveltimeinseconds和那些特定子级的信息？特别想要什么是摘要页签里面，最有价值的信息，谢谢！你知道吗

谢谢你的时间！你知道吗

这是基于我得到的答案和我自己的解释的解决方案。你知道吗

现在开始格式化数据，然后学习如何对其进行pickle！你知道吗

from lxml import etree
import urllib.request

def handleLeg(leg):
    # print this leg as text, or save it to file maybe...
    text = etree.tostring(leg, pretty_print=True)
    print (text)
    # also process individual elements of interest here if we want
    tagsOfInterest=["noTrafficTravelTimeInSeconds", "lengthInMeters", "departureTime", "trafficDelayInSeconds"]  # whatever
    for child in leg:
        if 'summary' in child.tag:
           for elem in child:
               for item in tagsOfInterest:
                   if item in elem.tag:
                       print (item + " : " + elem.text)

def parseXML(xmlFile):
    """
    Parse the xml
    """
    with urllib.request.urlopen("https://api.tomtom.com/routing/1/calculateRoute/-37.79205923474775,145.03010268799338:-37.798883995180496,145.03040309540322:-37.807106781970354,145.02895470253526:-37.80320743019992,145.01021142594075:-37.79990,144.99318476311566:?routeType=shortest&key=xxxxx&computeTravelTimeFor=all") as fobj:
        xml = fobj.read()
#Look at Parent and Child XML organisation as this is where the data is going wrong at the moment
    root = etree.fromstring(xml)

    for child in root:
        if 'route' in child.tag:
            for elem in child:
                if 'leg' in elem.tag:
                    handleLeg(elem)



if __name__ == "__main__":
    parseXML("example.xml")




'''
import pickle
favorite_color = { "lion": "yellow", "kitty": "red" }

pickle.dump( favorite_color, open( "save.p", "wb" ) )
'''

我的理解是，parseXML从网站获取数据，然后转换成etree，然后在其中搜索“route”，然后在解析之前搜索“leg”。感兴趣的标签用于找到正确的文本，以便在解释器中显示。你知道吗

确保我也有摘要标签。你知道吗

下一步是将这些信息放入类/对象/字典中，并对其进行整理以备将来使用。你知道吗

Answer 1

我没有访问tomtomapi的权限，所以我无法运行您发布的所有代码，但我确实查看了您发布的XML字符串。你知道吗

下面是我用来提取单个“leg”元素并处理它们的一些代码。我只是将它们打印为文本（可以将它们保存到文件中），还提取了特定的子对象并将它们打印出来。你知道吗

你的问题并不清楚你想用这些数据做什么，但也许这给了你一个工作的起点。你知道吗

from lxml import etree
import urllib.request

xml = '<calculateRouteResponse xmlns="http://api.tomtom.com/routing" formatVersion="0.0.12">\
<copyright>...</copyright>\
<privacy>...</privacy>\
<route>\
<summary>\
<lengthInMeters>5144</lengthInMeters>\
<travelTimeInSeconds>687</travelTimeInSeconds>\
<trafficDelayInSeconds>0</trafficDelayInSeconds>\
<departureTime>2018-01-16T11:16:06+11:00</departureTime>\
<arrivalTime>2018-01-16T11:27:33+11:00</arrivalTime>\
<noTrafficTravelTimeInSeconds>478</noTrafficTravelTimeInSeconds>\
<historicTrafficTravelTimeInSeconds>687</historicTrafficTravelTimeInSeconds>\
<liveTrafficIncidentsTravelTimeInSeconds>687</liveTrafficIncidentsTravelTimeInSeconds>\
</summary>\
<leg>\
<summary>\
<lengthInMeters>806</lengthInMeters>\
<travelTimeInSeconds>68</travelTimeInSeconds>\
<trafficDelayInSeconds>0</trafficDelayInSeconds>\
<departureTime>2018-01-16T11:16:06+11:00</departureTime>\
<arrivalTime>2018-01-16T11:17:14+11:00</arrivalTime>\
<noTrafficTravelTimeInSeconds>59</noTrafficTravelTimeInSeconds>\
<historicTrafficTravelTimeInSeconds>68</historicTrafficTravelTimeInSeconds>\
<liveTrafficIncidentsTravelTimeInSeconds>68</liveTrafficIncidentsTravelTimeInSeconds>\
</summary>\
<points>...</points>\
</leg>\
<leg>\
<summary>\
<lengthInMeters>958</lengthInMeters>\
<travelTimeInSeconds>114</travelTimeInSeconds>\
<trafficDelayInSeconds>0</trafficDelayInSeconds>\
<departureTime>2018-01-16T11:17:14+11:00</departureTime>\
<arrivalTime>2018-01-16T11:19:08+11:00</arrivalTime>\
<noTrafficTravelTimeInSeconds>77</noTrafficTravelTimeInSeconds>\
<historicTrafficTravelTimeInSeconds>114</historicTrafficTravelTimeInSeconds>\
<liveTrafficIncidentsTravelTimeInSeconds>114</liveTrafficIncidentsTravelTimeInSeconds>\
</summary>\
<points>...</points>\
</leg>\
<leg>\
<summary>\
<lengthInMeters>1798</lengthInMeters>\
<travelTimeInSeconds>224</travelTimeInSeconds>\
<trafficDelayInSeconds>0</trafficDelayInSeconds>\
<departureTime>2018-01-16T11:19:08+11:00</departureTime>\
<arrivalTime>2018-01-16T11:22:53+11:00</arrivalTime>\
<noTrafficTravelTimeInSeconds>181</noTrafficTravelTimeInSeconds>\
<historicTrafficTravelTimeInSeconds>224</historicTrafficTravelTimeInSeconds>\
<liveTrafficIncidentsTravelTimeInSeconds>224</liveTrafficIncidentsTravelTimeInSeconds>\
</summary>\
<points>...</points>\
</leg>\
<leg>\
<summary>\
<lengthInMeters>1582</lengthInMeters>\
<travelTimeInSeconds>280</travelTimeInSeconds>\
<trafficDelayInSeconds>0</trafficDelayInSeconds>\
<departureTime>2018-01-16T11:22:53+11:00</departureTime>\
<arrivalTime>2018-01-16T11:27:33+11:00</arrivalTime>\
<noTrafficTravelTimeInSeconds>160</noTrafficTravelTimeInSeconds>\
<historicTrafficTravelTimeInSeconds>280</historicTrafficTravelTimeInSeconds>\
<liveTrafficIncidentsTravelTimeInSeconds>280</liveTrafficIncidentsTravelTimeInSeconds>\
</summary>\
<points>...</points>\
</leg>\
<sections>\
<section>\
<startPointIndex>0</startPointIndex>\
<endPointIndex>139</endPointIndex>\
<sectionType>TRAVEL_MODE</sectionType>\
<travelMode>car</travelMode>\
</section>\
</sections>\
</route>\
</calculateRouteResponse>'


def handleLeg(leg):
    """
    Handle a single leg element pulled from the main xml block
    """
    # now that we have a leg element, we can handle it as we want.
    # first, print this leg as text, so as we can see what it contains
    # NB we could also just append this text block to a file of "legs"
    text = etree.tostring(leg, pretty_print=True) 
    print (text)
    # we can see that there are individual elements of interest,
    # held within the "summary" child element
    # for each element of interest, extract the data and print it
    tagsOfInterest=["noTrafficTravelTimeInSeconds", "lengthInMeters", "departureTime"]  # whatever
    for child in leg:
        if 'summary' in child.tag:
            # we've found the "summary" child
            # so inspect each of its child element tags
            # to see if it is of interest
            for elem in child:
               for item in tagsOfInterest:
                   if item in elem.tag:
                       # its of interest...
                       # print it here
                       print (item + " : " + elem.text)

def parseXML(xml):
    """
    Parse the xml
    """
    root = etree.fromstring(xml)
    # look for the main "route" element, there should only be one...
    # do this by checking if the text "route" appears in the element tag
    for child in root:
        if 'route' in child.tag:
            # OK we found a/the route element. Now iterate over its "leg"
            # elements and handle each one
            for elem in child:
                if 'leg' in elem.tag:
                    # this is a "leg" element so handle it 
                    handleLeg(elem)    

if __name__ == "__main__":
    parseXML(xml)