使用 GSON 转换和展平 JSON

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【中文标题】使用 GSON 转换和展平 JSON【英文标题】:Transform and flatten JSON using GSON 【发布时间】:2018-04-17 11:31:48 【问题描述】:

我正在将 SignalK JSON 对象拆分为代表每个值的规范 JSON 项。

原始 JSON 如下所示:


"mmsi": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
"name": "Mona",
"navigation": 
    "position": 
        "timestamp": "1991-09-03T03:5:36.000Z",
        "latitude": 51.763691,
        "longitude": 9.501367,
        "altitude": 0.000000,
        "source": "N0183-01"
    ,
    "courseOverGroundTrue": 
        "value": 23.000000
    ,
    "speedOverGround": 
        "value": 2.010289
    
,
"environment": 
    "depth": 
        "belowTransducer": 
            "value": 12.700000
        
    ,
    "wind": 
        "angleApparent": 
            "value": 0.174533
        ,
        "speedApparent": 
            "value": 0.000000
        
    

所需的转换后的 JSON 如下所示,其中 JSON 元素表示每个值,项目命名表示值的整个路径。


"items": [
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "EnvironmentWindSpeedApparent",
            "isStep": false,
            "name": "EnvironmentWindSpeedApparent",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 0.0
        ,
        "key": "20180417-130143470EnvironmentWindSpeedApparent5377770-4ee4-4a4b-3230-888037332031"
    , 
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "EnvironmentWindAngleApparent",
            "isStep": false,
            "name": "EnvironmentWindAngleApparent",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 0.174533
        ,
        "key": "20180417-130143470EnvironmentWindAngleApparent5377770-4ee4-4a4b-3230-888037332031"
    , 
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "EnvironmentDepthBelowTransducer",
            "isStep": false,
            "name": "EnvironmentDepthBelowTransducer",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 12.7
        ,
        "key": "20180417-130143470EnvironmentDepthBelowTransducer5377770-4ee4-4a4b-3230-888037332031"
    , 
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "NavigationPositionLongitude",
            "isStep": false,
            "name": "NavigationPositionLongitude",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 9.501367
        ,
        "key": "20180417-130143470NavigationPositionLongitude5377770-4ee4-4a4b-3230-888037332031"
    , 
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "NavigationPositionLatitude",
            "isStep": false,
            "name": "NavigationPositionLatitude",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 51.763691
        ,
        "key": "20180417-130143470NavigationPositionLatitude5377770-4ee4-4a4b-3230-888037332031"
    , 
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "NavigationCourseOverGroundTrue",
            "isStep": false,
            "name": "NavigationCourseOverGroundTrue",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 23.0
        ,
        "key": "20180417-130143470NavigationCourseOverGroundTrue5377770-4ee4-4a4b-3230-888037332031"
    , 
        "columns": 
            "assetId": "urn:mrn:signalk:uuid:5377770-4ee4-4a4b-3230-888037332031",
            "description": "NavigationSpeedOverGround",
            "isStep": false,
            "name": "NavigationSpeedOverGround",
            "timestamps": 1523962903470,
            "type": "numerical",
            "values": 2.010289
        ,
        "key": "20180417-130143470NavigationSpeedOverGround5377770-4ee4-4a4b-3230-888037332031"
    
    ]

如何以灵活的方式进行这种转换,以适应更改原始 JSON 中可用的子节点? 我现在正在以一种简单的方式对其进行转换,但想知道是否可以使用 JsonReader、gson 或其他迭代原始 JSON 对象的方式来完成。

【问题讨论】:

【参考方案1】:

我最终定义了表示转换后的 json 的对象结构,并编写了一个自定义序列化程序来进行转换。这可能是更有效的方法,但这种方法似乎工作正常。

public class SignalKDeserializer implements JsonDeserializer<TargetObject> 
//written based on examples from http://www.javacreed.com/gson-deserialiser-example/

final TargetObject targetObject = new TargetObject ();

@Override
public TargetObject deserialize(final JsonElement json, final Type typeOfT, final JsonDeserializationContext context)
        throws JsonParseException 
    final JsonObject jsonObject = json.getAsJsonObject();
    traverse (jsonObject,0,"", mmsi);
    return targetObject;



private void traverse (JsonObject jsonObject, Integer level, String parentName, String mmsi) 
    Set<String> keys = jsonObject.keySet();
    Iterator<?> keysIterator = keys.iterator ();
    while( keysIterator.hasNext ()) 
        String key = (String) keysIterator.next ();
        String signalName = parentName+upperCaseFirst (key); //setting signalName to complete path of value
        if (jsonObject.get (key) instanceof JsonObject) 
            traverse ((jsonObject.get (key)).getAsJsonObject (),level+1,upperCaseFirst (signalName),mmsi);
         else if (jsonObject.get (key) instanceof JsonElement) 
            if (level>0) 
                try 
                    final Double value = jsonObject.get(key).getAsDouble ();
                    calendar = Calendar.getInstance ();
                    Long timeStamp = calendar.getTimeInMillis ();
                    Item targetItem = new Item ();
                    targetItem.columns.setIsStep (false);
                    targetItem.columns.setAssetId (mmsi);
                    targetItem.columns.setTimestamps (calendar.getTimeInMillis ());
                    targetItem.columns.setType ("numerical");
                    targetItem.columns.setDescription (signalName);
                    targetItem.columns.setValues (value);
                    targetItem.columns.setName (signalName);
                    targetItem.setKey (signaldateformat.format (timeStamp) + mmsi);
                    targetObject.items.add (targetItem);
                
                catch (NumberFormatException n) 
                    // Expected, the value is non numerical and  will not be transformed
                
            
        
    

我正在使用我的主类中的序列化程序,如下所示:

final GsonBuilder gsonBuilder = new GsonBuilder();
gsonBuilder.registerTypeAdapter(TargetObject.class, new SignalKDeserializer ());
final Gson gson = gsonBuilder.create();
TargetObject targetObject = gson.fromJson (jsonSignalK,TargetObject.class);
String jsonOutString = gson.toJson (targetObject);

jsonOutString 包含我需要的转换后的 json。

【讨论】:

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