我收到了来自sharepoint的回复。
{
"d": {
"query": {
"SecondaryQueryResults": {
"__metadata": {
"type": "Collection(Microsoft.Office.Server.Search.REST.QueryResult)"
},
"results": []
},
"SpellingSuggestion": "",
"TriggeredRules": {
"__metadata": {
"type": "Collection(Edm.Guid)"
},
"results": ["e0205660-4971-4574-aa40-af6b4383cadd"]
},
"ElapsedTime": 224,
"__metadata": {
"type": "Microsoft.Office.Server.Search.REST.SearchResult"
},
"Properties": {
"__metadata": {
"type": "Collection(SP.KeyValue)"
},
"results": [{
"ValueType": "Edm.Int32",
"Value": "10",
"Key": "RowLimit"
}, {
"ValueType": "Edm.Guid",
"Value": "8413cd39-2156-4e00-b54d-11efd9abdb49",
"Key": "SourceId"
}, {
"ValueType": "Edm.Guid",
"Value": "7bc4ba9e-80ff-7000-58cf-f7ac556d1e34",
"Key": "CorrelationId"
}, {
"ValueType": "Edm.Boolean",
"Value": "false",
"Key": "WasGroupRestricted"
}, {
"ValueType": "Edm.Boolean",
"Value": "false",
"Key": "IsPartial"
}, {
"ValueType": "Edm.Boolean",
"Value": "false",
"Key": "HasParseException"
}, {
"ValueType": "Edm.String",
"Value": "en",
"Key": "WordBreakerLanguage"
}, {
"ValueType": "Edm.Boolean",
"Value": "false",
"Key": "IsPartialUpnDocIdMapping"
}, {
"ValueType": "Edm.Boolean",
"Value": "true",
"Key": "EnableInterleaving"
}, {
"ValueType": "Edm.Boolean",
"Value": "false",
"Key": "IsMissingUnifiedGroups"
}, {
"ValueType": "Edm.String",
"Value": "i62456",
"Key": "Constellation"
}, {
"ValueType": "Edm.String",
"Value": "<Query Culture=\"en-US\" EnableStemming=\"True\" EnablePhonetic=\"False\" EnableNicknames=\"False\" IgnoreAllNoiseQuery=\"True\" SummaryLength=\"180\" MaxSnippetLength=\"180\" DesiredSnippetLength=\"90\" KeywordInclusion=\"0\" QueryText=\"59055305\" QueryTemplate=\"\" TrimDuplicates=\"True\" Site=\"e297bd2b-597a-4f54-8509-e2febb91b869\" Web=\"d42ff0d1-883b-4545-ab6a-97b0401025d4\" KeywordType=\"True\" HiddenConstraints=\"\" \/>",
"Key": "SerializedQuery"
}]
},
"PrimaryQueryResult": {
"RefinementResults": null,
"SpecialTermResults": null,
"QueryId": "0585a5f1-89bc-43c1-b736-e163b4d7c1dd",
"QueryRuleId": "00000000-0000-0000-0000-000000000000",
"CustomResults": {
"__metadata": {
"type": "Collection(Microsoft.Office.Server.Search.REST.CustomResult)"
},
"results": []
},
"__metadata": {
"type": "Microsoft.Office.Server.Search.REST.QueryResult"
},
"RelevantResults": {
"Table": {
"__metadata": {
"type": "SP.SimpleDataTable"
},
"Rows": {
"results": [{
"__metadata": {
"type": "SP.SimpleDataRow"
},
"Cells": {
"results": [{
"ValueType": "Edm.Double",
"Value": "26.8860855102549",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "Rank"
}, {
"ValueType": "Edm.Int64",
"Value": "17594532057853",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "DocId"
}, {
"ValueType": "Edm.Int64",
"Value": "17594531057253",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "WorkId"
}, {
"ValueType": "Edm.String",
"Value": "Customer Request Filling",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "Title"
}, {
"ValueType": "Edm.String",
"Value": "Technology Services;svc ECMWise",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "Author"
}, {
"ValueType": "Edm.Int64",
"Value": "97182",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "Size"
}, {
"ValueType": "Edm.String",
"Value": "https:\/\/xxxxxx.sharepoint.com\/sites\/news\/CUST\/Forms\/Appeals\/Customer Reader.pdf",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "Path"
}, {
"ValueType": "Null",
"Value": null,
"__metadata": {
"type": "SP.KeyValue"
},
....
我要获取的是该pdf的“值”字符串的“路径”，作为下面的快照（上面部分的一部分）
{
"ValueType": "Edm.String",
"Value": "https:\/\/xxxxxx.sharepoint.com\/sites\/news\/CUST\/Forms\/Appeals\/Customer Reader.pdf",
"__metadata": {
"type": "SP.KeyValue"
},
"Key": "Path"
}
我试图使用JSONObject这样解析它。
JSONObject jsonObject = (JSONObject) parser.parse(new InputStreamReader((httpConn.getInputStream())));
JSONObject folder = (JSONObject)jsonObject.get("d");
JSONObject query = (JSONObject) folder.get("query");
JSONObject properties = (JSONObject) query.get("PrimaryQueryResult");
JSONObject result = (JSONObject) properties.get("RelevantResults");
JSONObject table = (JSONObject) result.get("Table");
JSONObject rows = (JSONObject) table.get("Rows");
....
我想知道是否有更简单的方法来执行此操作，或者如果其中一个键未填充该怎么办。它将抛出空指针异常，所以有一种方法可以直接在这个长嵌套的json中直接找到一个密钥，以及如何从“ Cells”的json数组中获取字段“ Key”
答案 0 :(得分：1)
您应该考虑使用JSON序列如杰克逊或GSON。
如果每个调用的基础JSON响应结构都相同，即使它缺少键，也可以使用JSONSchema2POJO之类的东西来创建自己的POJO。这将使用您提供的JSON字符串生成带有Jackson或GSON批注的POJO。下面是使用JSON字符串的一个片段一个例子：
-----------------------------------com.example.Example.java-----------------------------------
package com.example;
import com.google.gson.annotations.Expose;
import com.google.gson.annotations.SerializedName;
public class Example {
@SerializedName("ValueType")
@Expose
private String valueType;
@SerializedName("Value")
@Expose
private String value;
@SerializedName("__metadata")
@Expose
private Metadata metadata;
@SerializedName("Key")
@Expose
private String key;
public String getValueType() {
return valueType;
}
public void setValueType(String valueType) {
this.valueType = valueType;
}
public String getValue() {
return value;
}
public void setValue(String value) {
this.value = value;
}
public Metadata getMetadata() {
return metadata;
}
public void setMetadata(Metadata metadata) {
this.metadata = metadata;
}
public String getKey() {
return key;
}
public void setKey(String key) {
this.key = key;
}
}
-----------------------------------com.example.Metadata.java-----------------------------------
package com.example;
import com.google.gson.annotations.Expose;
import com.google.gson.annotations.SerializedName;
public class Metadata {
@SerializedName("type")
@Expose
private String type;
public String getType() {
return type;
}
public void setType(String type) {
this.type = type;
}
}
这是在Java中使用JSON时的标准做法，并且在序列化对象而不破坏代码的情况下，允许键/值为null。
如果JSON结构是完全不可预测的，则GSON允许您创建Generic types，也可以进一步创建write custom serializers。杰克逊很可能也有类似的功能，但我只在GSON精通。
答案 1 :(得分：0)
您可以使用quick-json（enter link description here）并具有类似以下内容（快速版本未优化）：
public class Go {
public static void main(String[] args) {
try {
List<String> pdf_list = new ArrayList<>();
JsonParserFactory factory= JsonParserFactory.getInstance();
JSONParser parser=factory.newJsonParser();
Map jsonMap=parser.parseJson("/54424034/sharepoint.json", "UTF-8");
//jsonMap.get("d/query/PrimaryQueryResult/RelevantResults/Table/Rows/results");
Map d = (Map) jsonMap.get("d");
Map query = (Map) d.get("query");
Map primaryQueryResult = (Map) query.get("PrimaryQueryResult");
Map relevantResults = (Map) primaryQueryResult.get("RelevantResults");
Map table = (Map) relevantResults.get("Table");
Map rows = (Map) table.get("Rows");
List<Map> results_rows = (ArrayList) rows.get("results");
for (Map result_row : results_rows) {
Map cells = (Map) result_row.get("Cells");
List<Map> results_cells = (ArrayList) cells.get("results");
for (Map result_cell : results_cells) {
String key = (String) result_cell.get("Key");
if ("Path".equalsIgnoreCase(key)) {
pdf_list.add((String) result_cell.get("Value"));
}
}
}
System.out.println(pdf_list);
}
catch (Exception e) {
e.printStackTrace();
}
}
}
它只是解析您的Json并将所有pdf路径添加到列表中