使用 JSON 响应中的动态对象将 JSON 解析为 Java object

Question

我正在尝试解析对 Java object 的 JSON 响应，然后我想将其保存到 Postgresql。

我有以下 json 响应：

{
    "success": 1,
    "results": [
        {
            "FI": "120986750",
            "event_id": "5164306",
            "cards": {
                "updated_at": "1660559432",
                "key": "AAA100",
                "sp": {
                    "corners": {
                        "id": "1",
                        "name": "Cards",
                        "odds": [
                            {
                                "id": "101",
                                "odds": "2.200",
                                "header": "Over",
                                "name": "11"
                            },
                            {
                                "id": "102",
                                "odds": "8.500",
                                "header": "Exactly",
                                "name": "11"
                            },
                            {
                                "id": "103",
                                "odds": "1.909",
                                "header": "Under",
                                "name": "11"
                            }
                        ]
                    }
                }
            },
            "corners": {
                "updated_at": "1660559431",
                "key": "AAA200",
                "sp": {
                    "corners": {
                        "id": "2",
                        "name": "Corners",
                        "odds": [
                            {
                                "id": "201",
                                "odds": "2.200",
                                "header": "Over",
                                "name": "10"
                            },
                            {
                                "id": "202",
                                "odds": "8.500",
                                "header": "Exactly",
                                "name": "10"
                            },
                            {
                                "id": "203",
                                "odds": "1.909",
                                "header": "Under",
                                "name": "10"
                            }
                        ]
                    }
                }
            }
        }
    ]
}

我开始像这样创建 class：

public class PreMatchOdds {

    @JsonProperty("success")
    private Integer success;
    @JsonProperty("results")
    private List<Result> results = null;
    @JsonIgnore
    private Map<String, Object> additionalProperties = new HashMap<String, Object>();
    private final static long serialVersionUID = -8631993296159893856L;

getter and setters..

然后代替

    @JsonProperty("cards")
    private Cards cards;

and

    @JsonProperty("corners")
    private Corners corners;

我试过：

@JsonProperty("categories")
@JsonAlias({"cards", "corners"})
private Categories categories;

在结果 class

public class Result implements Serializable {

    @JsonProperty("FI")
    private String fi;
    @JsonProperty("event_id")
    private String eventId;
    
    @JsonProperty("categories")
    @JsonAlias({"cards", "corners"})
    private Categories categories;

    @JsonIgnore
    private Map<String, Object> additionalProperties = new HashMap<String, Object>();
    private final static long serialVersionUID = -683759794150688410L;

正确的方法是如何做到这一点，或者我必须为每个卡和角 object 创建一个 class？ 这只是一个例子，但在我的真实案例中，我有 20 个这样的对象。 我还想将 object 键名设置为变量，因为我想将 map 与数据库中的字段相对应。

我已经尝试并用谷歌搜索，但没有找到我正在寻找或不真正理解的内容。 最后，我想将它保存到数据库中的表中，如下所示：

FI	event_id	类别	更新时间	钥匙	market_id	市场	赔率_id	赔率	header	障碍	姓名
FI值	event_id	价值	“牌”	更新时间	AAA100	卡片.id	卡片名称	赔率.id	赔率	赔率.header	赔率.让分
			“角落”	AAA200	角落.id	角点名称	赔率.id	赔率	赔率.header	赔率.让分	赔率名称
例子
120986750	5164306	牌	1660559432	AAA100	1	牌	101	2.2	超过		11
120986750	5164306	牌	1660559432	AAA100	1	牌	102	8.5	非常好		11
120986750	5164306	牌	1660559432	AAA100	1	牌	103	1.909	在下面		11
120986750	5164306	角落	1660559431	AAA200	2	角落	201	2.2	超过		10
120986750	5164306	角落	1660559431	AAA200	2	角落	202	8.5	非常好		10
120986750	5164306	角落	1660559431	AAA200	2	角落	203	1.909	在下面		10

Answer 1

通过定义许多类来处理动态内容很复杂。 我建议直接使用 JSON 查询库转换 JSON。 例如，使用乔森。

https://github.com/octomix/josson

反序列化

Josson josson = Josson.fromJsonString(
    "{" +
    "    \"success\": 1," +
    "    \"results\": [" +
    "        {" +
    "            \"FI\": \"120986750\"," +
    "            \"event_id\": \"5164306\"," +
    "            \"cards\": {" +
    "                \"updated_at\": \"1660559432\"," +
    "                \"key\": \"AAA100\"," +
    "                \"sp\": {" +
    "                    \"cards\": {" +
    "                        \"id\": \"1\"," +
    "                        \"name\": \"Cards\"," +
    "                        \"odds\": [" +
    "                            {" +
    "                                \"id\": \"101\"," +
    "                                \"odds\": \"2.200\"," +
    "                                \"header\": \"Over\"," +
    "                                \"name\": \"11\"" +
    "                            }," +
    "                            {" +
    "                                \"id\": \"102\"," +
    "                                \"odds\": \"8.500\"," +
    "                                \"header\": \"Exactly\"," +
    "                                \"name\": \"11\"" +
    "                            }," +
    "                            {" +
    "                                \"id\": \"103\"," +
    "                                \"odds\": \"1.909\"," +
    "                                \"header\": \"Under\"," +
    "                                \"name\": \"11\"" +
    "                            }" +
    "                        ]" +
    "                    }" +
    "                }" +
    "            }," +
    "            \"corners\": {" +
    "                \"updated_at\": \"1660559431\"," +
    "                \"key\": \"AAA200\"," +
    "                \"sp\": {" +
    "                    \"corners\": {" +
    "                        \"id\": \"2\"," +
    "                        \"name\": \"Corners\"," +
    "                        \"odds\": [" +
    "                            {" +
    "                                \"id\": \"201\"," +
    "                                \"odds\": \"2.200\"," +
    "                                \"header\": \"Over\"," +
    "                                \"name\": \"10\"" +
    "                            }," +
    "                            {" +
    "                                \"id\": \"202\"," +
    "                                \"odds\": \"8.500\"," +
    "                                \"header\": \"Exactly\"," +
    "                                \"name\": \"10\"" +
    "                            }," +
    "                            {" +
    "                                \"id\": \"203\"," +
    "                                \"odds\": \"1.909\"," +
    "                                \"header\": \"Under\"," +
    "                                \"name\": \"10\"" +
    "                            }" +
    "                        ]" +
    "                    }" +
    "                }" +
    "            }" +
    "        }" +
    "    ]" +
    "}");

转型

JsonNode node = josson.getNode(
    "results.map(" +
    "    FI," +
    "    event_id," +
    "    categories: entries()" +
    "        .map(category: key," +
    "             value.updated_at," +
    "             value.key," +
    "             market_id: value.sp.*.id," +
    "             market: value.sp.*.name," +
    "             value.sp.*.odds)" +
    "        .unwind(odds)" +
    ").unwind(categories)");
System.out.println(node.toPrettyString());

Output

[ {
  "FI" : "120986750",
  "event_id" : "5164306",
  "category" : "cards",
  "updated_at" : "1660559432",
  "key" : "AAA100",
  "market_id" : "1",
  "market" : "Cards",
  "id" : "101",
  "odds" : "2.200",
  "header" : "Over",
  "name" : "11"
}, {
  "FI" : "120986750",
  "event_id" : "5164306",
  "category" : "cards",
  "updated_at" : "1660559432",
  "key" : "AAA100",
  "market_id" : "1",
  "market" : "Cards",
  "id" : "102",
  "odds" : "8.500",
  "header" : "Exactly",
  "name" : "11"
}, {
  "FI" : "120986750",
  "event_id" : "5164306",
  "category" : "cards",
  "updated_at" : "1660559432",
  "key" : "AAA100",
  "market_id" : "1",
  "market" : "Cards",
  "id" : "103",
  "odds" : "1.909",
  "header" : "Under",
  "name" : "11"
}, {
  "FI" : "120986750",
  "event_id" : "5164306",
  "category" : "corners",
  "updated_at" : "1660559431",
  "key" : "AAA200",
  "market_id" : "2",
  "market" : "Corners",
  "id" : "201",
  "odds" : "2.200",
  "header" : "Over",
  "name" : "10"
}, {
  "FI" : "120986750",
  "event_id" : "5164306",
  "category" : "corners",
  "updated_at" : "1660559431",
  "key" : "AAA200",
  "market_id" : "2",
  "market" : "Corners",
  "id" : "202",
  "odds" : "8.500",
  "header" : "Exactly",
  "name" : "10"
}, {
  "FI" : "120986750",
  "event_id" : "5164306",
  "category" : "corners",
  "updated_at" : "1660559431",
  "key" : "AAA200",
  "market_id" : "2",
  "market" : "Corners",
  "id" : "203",
  "odds" : "1.909",
  "header" : "Under",
  "name" : "10"
} ]