我知道以前在这里问过这类问题,但我仍然找不到任何解决我的问题的方法。所以拜托,谁能帮帮我......
情况:
我正在使用 DOM 解析器解析以下 xml 响应。
<feed>
<post_id>16</post_id>
<user_id>68</user_id>
<restaurant_id>5</restaurant_id>
<dish_id>7</dish_id>
<post_img_id>14</post_img_id>
<rezing_post_id></rezing_post_id>
<price>8.30</price>
<review>very bad</review>
<rating>4.0</rating>
<latitude>22.299999000000</latitude>
<longitude>73.199997000000</longitude>
<near> Gujarat</near>
<posted>1340869702</posted>
<display_name>username</display_name>
<username>vivek</username>
<first_name>vivek</first_name>
<last_name>mitra</last_name>
<dish_name>Hash brows</dish_name>
<restaurant_name>Waffle House</restaurant_name>
<post_img>https://img1.yumzing.com/1000/9cab8fc91</post_img>
<post_comment_count>0</post_comment_count>
<post_like_count>0</post_like_count>
<post_rezing_count>0</post_rezing_count>
<comments>
<comment/>
</comments>
</feed>
<feed>
<post_id>8</post_id>
<user_id>13</user_id>
<restaurant_id>5</restaurant_id>
<dish_id>6</dish_id>
<post_img_id>7</post_img_id>
<rezing_post_id></rezing_post_id>
<price>3.50</price>
<review>This is cheesy!</review>
<rating>4.0</rating>
<latitude>42.187000000000</latitude>
<longitude>-88.346497000000</longitude>
<near>Lake in the Hills IL</near>
<posted>1340333509</posted>
<display_name>username</display_name>
<username>Nullivex</username>
<first_name>Bryan</first_name>
<last_name>Tong</last_name>
<dish_name>Hash Brows with Cheese</dish_name>
<restaurant_name>Waffle House</restaurant_name>
<post_img>https://img1.yumzing.com/1000/78e5c184fd3ae752f8665636381a8f0006762dc0</post_img>
<post_comment_count>6</post_comment_count>
<post_like_count>1</post_like_count>
<post_rezing_count>1</post_rezing_count>
<comments>
<comment>
<user_id>16</user_id>
<email>existentialism27@gmail.com</email>
<email_new></email_new>
<email_verification_code></email_verification_code>
<password>9d99ef4f72f9d2df968a75e058c78245fa45e9e7</password>
<password_reset_code></password_reset_code>
<salt>31a988badccd35a1be7dacc073f60f52e49ff881</salt>
<username>existentialism27</username>
<first_name>Daniel</first_name>
<last_name>Amaya</last_name>
<display_name>username</display_name>
<birth_month>10</birth_month>
<birth_day>5</birth_day>
<birth_year>1985</birth_year>
<city>Colorado Springs</city>
<state>CO</state>
<country>US</country>
<timezone>US/Mountain</timezone>
<last_seen>1338365509</last_seen>
<is_confirmed>1</is_confirmed>
<is_active>1</is_active>
<post_comment_id>9</post_comment_id>
<post_id>8</post_id>
<comment>this is a test comment!</comment>
<posted>1340334121</posted>
</comment>
<comment>
<user_id>16</user_id>
<email>existentialism27@gmail.com</email>
<email_new></email_new>
<email_verification_code></email_verification_code>
<password>9d99ef4f72f9d2df968a75e058c78245fa45e9e7</password>
<password_reset_code></password_reset_code>
<salt>31a988badccd35a1be7dacc073f60f52e49ff881</salt>
<username>existentialism27</username>
<first_name>Daniel</first_name>
<last_name>Amaya</last_name>
<display_name>username</display_name>
<birth_month>10</birth_month>
<birth_day>5</birth_day>
<birth_year>1985</birth_year>
<city>Colorado Springs</city>
<state>CO</state>
<country>US</country>
<timezone>US/Mountain</timezone>
<last_seen>1338365509</last_seen>
<is_confirmed>1</is_confirmed>
<is_active>1</is_active>
<post_comment_id>10</post_comment_id>
<post_id>8</post_id>
<comment>this is a test comment!</comment>
<posted>1340334128</posted>
</comment>
</comments>
</feed>
在上面的 xml 响应中,我得到了多个“提要”,我可以毫无问题地对其进行解析,但是这里每个“提要”都可以有 None 或 N 个“comment”。我无法解析单个提要的评论。谁能建议我如何朝着正确的方向前进。
我还在这里放了一段代码,而不是我用来解析 xml doc 的整个代码,因此更容易找出问题所在。
DocumentBuilderFactory odbf = DocumentBuilderFactory.newInstance();
DocumentBuilder odb = odbf.newDocumentBuilder();
InputSource is = new InputSource(new StringReader(xml));
Document odoc = odb.parse(is);
odoc.getDocumentElement().normalize ();
NodeList LOP = odoc.getElementsByTagName("feed");
System.out.println(LOP.getLength());
for (int s=0 ; s<LOP.getLength() ; s++){
Node FPN =LOP.item(s);
try{
if(FPN.getNodeType() == Node.ELEMENT_NODE)
{
Element token = (Element)FPN;
NodeList oNameList0 = token.getElementsByTagName("post_id");
Element ZeroNameElement = (Element)oNameList0.item(0);
NodeList textNList0 = ZeroNameElement.getChildNodes();
feed_post_id = Integer.parseInt(((Node)textNList0.item(0)).getNodeValue().trim());
System.out.println("#####The Parsed data#####");
System.out.println("post_id : " + ((Node)textNList0.item(0)).getNodeValue().trim());
System.out.println("#####The Parsed data#####");
}
}catch(Exception ex){}
}