通过ID过滤XML文件？

如何解决通过ID过滤XML文件？

所以我试图遍历XML文件以检索某些值以备将来使用。

@property
def train(self):
  return self.make_dataset(self.train_df)

@property
def val(self):
  return self.make_dataset(self.val_df)

@property
def test(self):
  return self.make_dataset(self.test_df)

@property
def example(self):
  """Get and cache an example batch of `inputs,labels` for plotting."""
  result = getattr(self,'_example',None)
  if result is None:
    # No example batch was found,so get one from the `.train` dataset
    result = next(iter(self.train))
    # And cache it for next time
    self._example = result
  return result

WindowGenerator.train = train
WindowGenerator.val = val
WindowGenerator.test = test
WindowGenerator.example = example

MAX_EPOCHS = 2000

def compile_and_fit(model,window,patience=20):
  early_stopping = tf.keras.callbacks.EarlyStopping(monitor='val_loss',patience=patience,mode='min')

  model.compile(loss=tf.losses.MeanSquaredError(),optimizer=tf.optimizers.Adam(),metrics=[tf.metrics.MeanAbsoluteError()])

  history = model.fit(window.train,epochs=MAX_EPOCHS,validation_data=window.val,callbacks=[early_stopping])
  return history

OUT_STEPS = 10
multi_window = WindowGenerator(input_width=10,label_width=OUT_STEPS,shift=OUT_STEPS)

multi_window
multi_lstm_model = tf.keras.Sequential([
    # Shape [batch,time,features] => [batch,lstm_units]
    # Adding more `lstm_units` just overfits more quickly.
    tf.keras.layers.LSTM(32,return_sequences=False),# Shape => [batch,out_steps*features]
    tf.keras.layers.Dense(OUT_STEPS*num_features,kernel_initializer=tf.initializers.zeros),out_steps,features]
    tf.keras.layers.Reshape([OUT_STEPS,num_features])
])

history = compile_and_fit(multi_lstm_model,multi_window)

IPython.display.clear_output()
multi_window.plot(multi_lstm_model,plot_col='B',max_subplots=3)

我设法检索了标记内的每个值，但是现在我尝试仅检索属于特定行的那些值，最好按其ID检索。我该如何处理？

XML看起来像这样：

    public static void readFile() throws ParserConfigurationException,IOException,SAXException {

    File file = new File("TrafficLightPatterns.xml");
    DocumentBuilderFactory documentBuilderFactory = DocumentBuilderFactory
            .newInstance();
    DocumentBuilder documentBuilder = documentBuilderFactory.newDocumentBuilder();
    Document document = documentBuilder.parse(file);


    NodeList nodeList = document.getElementsByTagName("lights");

    IntStream.range(0,nodeList.getLength()).mapToObj(nodeList::item).filter(node ->
            node.getNodeType() == Node.ELEMENT_NODE).map(Node::getTextContent).map(value -> "value:" + value)
            .forEach(System.out::println);

    System.out.println(nodeList);
}

先谢谢大家！