解析xml的另外一种方法（Google weather）

今天学习了一下如何获取天气，也学习了另外一种解析xml的方法

通过google api获取的天气的xml

<?xml version="1.0"?>
<xml_api_reply version="1">
	<weather module_id="0" tab_id="0" mobile_row="0" mobile_zipped="1"
		row="0" section="0">

		<forecast_information>
			<city data="Beijing, Beijing" />
			<postal_code data="beijing" />
			<latitude_e6 data="" />
			<longitude_e6 data="" />
			<forecast_date data="2011-01-13" />
			<current_date_time data="2011-01-13 16:00:00 +0000" />
			<unit_system data="US" />
		</forecast_information>

		<current_conditions>
			<condition data="Clear" />
			<temp_f data="23" />
			<temp_c data="-5" />
			<humidity data="Humidity: 39%" />
			<icon data="/ig/images/weather/sunny.gif" />
			<wind_condition data="Wind: N at 2 mph" />
		</current_conditions>

		<forecast_conditions>
			<day_of_week data="Thu" />
			<low data="12" />
			<high data="37" />
			<icon data="/ig/images/weather/sunny.gif" />
			<condition data="Clear" />
		</forecast_conditions>

		<forecast_conditions>
			<day_of_week data="Fri" />
			<low data="8" />
			<high data="28" />
			<icon data="/ig/images/weather/sunny.gif" />
			<condition data="Clear" />
		</forecast_conditions>
		<forecast_conditions>
			<day_of_week data="Sat" />
			<low data="12" />
			<high data="26" />
			<icon data="/ig/images/weather/sunny.gif" />
			<condition data="Clear" />
		</forecast_conditions>

		<forecast_conditions>
			<day_of_week data="Sun" />
			<low data="12" />
			<high data="30" />
			<icon data="/ig/images/weather/sunny.gif" />
			<condition data="Clear" />
		</forecast_conditions>
	</weather>

</xml_api_reply>

解析这个xml的code

class getWeather implements Runnable {

		@Override
		public void run() {
			// TODO Auto-generated method stub
			String weather = "";
			String url = "http://www.google.com/ig/api?&weather=beijing";
			DefaultHttpClient client = new DefaultHttpClient();
			HttpUriRequest req = new HttpGet(url);
			HttpResponse resp;
			try {
				resp = client.execute(req);
				HttpEntity ent = resp.getEntity();
				InputStream stream = ent.getContent();
//				printEntity(stream);
				DocumentBuilder b = DocumentBuilderFactory.newInstance()
						.newDocumentBuilder();
				Document d = b.parse(new InputSource(stream));
				NodeList n = d.getElementsByTagName("forecast_conditions");
				for (int i = 0; i < n.getLength(); i++) {
					weather += n.item(i).getChildNodes().item(0)
							.getAttributes().item(0).getNodeValue();
					weather += ", ";
					weather += (Integer.parseInt(n.item(i).getChildNodes()
							.item(1).getAttributes().item(0).getNodeValue()) - 32) * 5 / 9;
					weather += " ~ ";
					weather += (Integer.parseInt(n.item(i).getChildNodes()
							.item(2).getAttributes().item(0).getNodeValue()) - 32) * 5 / 9;
					weather += ", ";
					weather += n.item(i).getChildNodes().item(4)
							.getAttributes().item(0).getNodeValue();
					
					weather += "\n";
				}
			} catch (ClientProtocolException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			} catch (IOException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			} catch (ParserConfigurationException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			} catch (SAXException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			}
			System.out.println(" weather is " + weather);

		}
	};

这种方式不需要知道每个节点的属性名称，但缺点和优点都是它，但server改变了每个节点的顺序，得到的数据就会错了。