使用org.json的Demo:

java 解析soap xml转换为json java json转xml接口_XML

1 importorg.apache.commons.io.IOUtils;2 importorg.json.JSONException;3 importorg.json.JSONObject;4 importorg.json.XML;5
6 importjava.io.IOException;7 importjava.io.InputStream;8
9 public classXML2JSON {10
11 publicXML2JSON(){}12
13 public static String xml2jsonString(String filepath) throwsIOException, JSONException {14
15 InputStream in = XML2JSON.class.getResourceAsStream(filepath);16 String xml =IOUtils.toString(in);17 System.out.print(xml);18 System.out.println();19
20 JSONObject xmlJSONObj =XML.toJSONObject(xml);21 String jsonStr =xmlJSONObj.toString();22 System.out.print(jsonStr);23
24 returnxmlJSONObj.toString();25
26 }27
28
29 public static void main(String[] args) throwsJSONException, IOException {30
31 String string = xml2jsonString("simple.xml");32 System.out.println(string);33
34 }35
36 }

View Code

测试1:

Gambardella, Matthew
XML Developer's Guide 
 
Computer
44.95
2000-10-01
An in-depth look at creating applications
with XML.
Ralls, Kim
Midnight Rain 
 
NOAA's National Weather Service
http://weather.gov/
http://weather.gov/images/xml_logo.gif
NOAA's National Weather Service 
 
http://weather.gov
New York/John F. Kennedy Intl Airport, NY
KJFK
40.66
-73.78
Mon, 11 Feb 2008 06:51:00 -0500 EST
A Few Clouds
11
-12
36
West
280
18.4
29
1023.6
30.23
-11
-24
-7
-22
10.00
http://weather.gov/weather/images/fcicons/
nfew.jpg
http://www.weather.gov/data/obhistory/KJFK.html
http://weather.gov/disclaimer.html
http://weather.gov/disclaimer.html
{"current_observation":{"copyright_url":"http://weather.gov/disclaimer.html","windchill_f":-7,"windchill_c":-22,"book":[{"author":"Gambardella, Matthew","price":44.95,"genre":"Computer","description":"An in-depth look at creating applications\r\n\t\t\twith XML.","id":"bk101","title":"XML Developer's Guide","publish_date":"2000-10-01"},{"author":"Ralls, Kim","credit_URL":"http://weather.gov/","id":"bk102","title":"Midnight Rain","credit":"NOAA's National Weather Service"}],"latitude":40.66,"two_day_history_url":"http://www.weather.gov/data/obhistory/KJFK.html","temp_c":-12,"temp_f":11,"wind_mph":18.4,"wind_degrees":280,"icon_url_base":"http://weather.gov/weather/images/fcicons/","icon_url_name":"nfew.jpg","weather":"A Few Clouds","dewpoint_f":-11,"longitude":-73.78,"image":{"link":"http://weather.gov","title":"NOAA's National Weather Service","url":"http://weather.gov/images/xml_logo.gif"},"dewpoint_c":-24,"station_id":"KJFK","wind_dir":"West","pressure_in":30.23,"wind_gust_mph":29,"disclaimer_url":"http://weather.gov/disclaimer.html","location":"New York/John F. Kennedy Intl Airport, NY","relative_humidity":36,"pressure_mb":1023.6,"visibility_mi":10,"observation_time_rfc822":"Mon, 11 Feb 2008 06:51:00 -0500 EST"}}

测试2:

Hello World!
Helen
Jason
Gambardella, Matthew
XML Developer's Guide 
 
Computer
44.95
2000-10-01
An in-depth look at creating applications
with XML.
Ralls, Kim
Midnight Rain 
 
NOAA's National Weather Service
http://weather.gov/
{"current_observation":{"book":["","",{"id":"bk98"},{"id":"bk99","content":"Hello World!"},{"author":["Helen","Jason"],"id":"bk100"},{"author":"Gambardella, Matthew","price":44.95,"genre":"Computer","description":"An in-depth look at creating applications\r\n\t\t\twith XML.","id":"bk101","title":"XML Developer's Guide","publish_date":"2000-10-01"},{"author":"Ralls, Kim","credit_URL":"http://weather.gov/","id":"bk102","title":"Midnight Rain","credit":"NOAA's National Weather Service"}]}}

对比在线转换

JSON转换结果对比上边有几点不同:

1. 忽略无意义的book数据

2. 缺省key值为#text

{"current_observation": {"book": [
{"-id": "bk98"},
{"-id": "bk99","#text": "Hello World!"},
{"-id": "bk100","author": ["Helen","Jason"]
},
{"-id": "bk101","author": "Gambardella, Matthew","title": "XML Developer's Guide","genre": "Computer","price": "44.95","publish_date": "2000-10-01","description": "An in-depth look at creating applications
with XML."},
{"-id": "bk102","author": "Ralls, Kim","title": "Midnight Rain","credit": "NOAA's National Weather Service","credit_URL": "http://weather.gov/"}
]
}
}

各路方法,有使用第三方API,或者自写遍历迭代方法。

在针对上述Demo的测试结果做分析,还需要进一步考虑以下几点:

1. 源XML文件自身特殊及复杂情况的转换定义。比如,字段含特殊字符,一个标签含多个属性,多个标签同名,invalid file等。

2. 目标JSON文件的转换定义。比如,各元素是否保持原有顺序,多个同名标签作为数组还是同级对象,等。

3. 转换过程中的异常处理。比如,转换中遇到无法解析而跳出导致该目标文件无效,异常捕获记录,等。

还有一个如何测试转换生成的JSON文件是否“正确”?

1. 是否是一个合格的JSON文件?

Why Validate Data as a Separate Step?
to fail fast
to avoid data corruption
to simplify processing code
to use validation code in tests

比较完备但复杂的做法:使用预定义的JSON-Schema来校验文件

https://github.com/java-json-tools/json-schema-validator

比较简单直接的做法:使用库加载JSON文件时抛出的异常来判断

2. 如何将测试预期结果JSON文件和待测JSON文件进行比对?(Github上只关注了Java)

https://github.com/fslev/json-compare

https://github.com/a2design-inc/json-compare

项目实践中,采用JAXB的Marshaller实现xml到java object的反序列化,再序列化为json时候默认空value=null, 空数组=[],空对象为{}

测试时候,无法直接使用xml->json的处理,因为空属性的加入,无法无中生有,所以只好也走一套反序列化到序列化的流程。代价就是不得不使用项目的java object或者构建一套测试自己的Dao层.....如果时复杂java object的话,本身变动频繁,后期维护代价很大。另一套方案是测试比较结果的处理,无中生有的空字段比较设立ignore list,如有对象变动,仅需更新ignore list即可,但若实现caseBycase Ignore的处理,case处理情况爆炸,代价又太大。

真的是测试要考虑的比代码本身还复杂。。。若测试引入的代码过多,是否有悖初衷呢?

实际项目用三种途径实现XML到JSON的转换。

一、XML->JSON

1 JSONObject xmlJSONObj =XML.toJSONObject(xml);2 String jsonStr = xmlJSONObj.toString();

二、XML->JavaBean

JAXB

Create - UserJavaBeanClass
1 public static Object xmlToBean(String xmlPath,Class> load) throwsJAXBException, IOException {2
3 LocalFileResourceParser fileLoader = newLocalFileResourceParser();4 InputStream in =fileLoader.parseFile(xmlPath);5
6 JAXBContext context =JAXBContext.newInstance(load);7 Unmarshaller unmarshaller =context.createUnmarshaller();8 Object object =unmarshaller.unmarshal(in);9 returnobject;10 }

三、JavaBean->JSON

(1) Gson

// https://mvnrepository.com/artifact/org.json/json
compile group: 'org.json', name: 'json', version: '20160810'
1 Gson gson = newGsonBuilder().serializeNulls().create();2 String jsonStr = gson.toJson(metadata);

(2) fastjson

// https://mvnrepository.com/artifact/com.alibaba/fastjson
compile group: 'com.alibaba', name: 'fastjson', version: '1.2.54'
1 public classBeanToJson {2
3 private static final SerializerFeature[] features ={4 SerializerFeature.PrettyFormat, //JSON标准格式化输出
5 SerializerFeature.NotWriteRootClassName, //6 SerializerFeature.WriteClassName, //7 SerializerFeature.SortField, //8 SerializerFeature.WriteMapNullValue, //输出空置字段
9 SerializerFeature.WriteNullListAsEmpty, //list字段如果为null,输出为[],而不是null10 //SerializerFeature.WriteNullNumberAsZero,//数值字段如果为null,输出为0,而不是null11 //SerializerFeature.WriteNullBooleanAsFalse,//Boolean字段如果为null,输出为false,而不是null12 //SerializerFeature.WriteNullStringAsEmpty,//字符类型字段如果为null,输出为"",而不是null
13 SerializerFeature.WriteDateUseDateFormat //日期格式化yyyy-MM-dd HH:mm:ss
14 };15
16 public static String toJsonString (Object object) throwsJSONException {17 String jsonStr = JSON.toJSONString(object, true);18 returnjsonStr;19 }20
21 public static String toJsonStringWithFeature (Object object) throwsJSONException {22 String jsonStr =JSON.toJSONString(object, BeanToJson.features);23 returnjsonStr;24 }25
26 }

比较:

gson可以设置某些feature,若要实现更复杂的feature,需要自己实现。

fastjson可以设置更多的features,满足项目需要。