我有JSON paylaod如下：
{
"status": "ok",
"result": {
"result": [
{
"product_id": "1420-131617-82",
"sku": "1420-131617",
"display_sku": "8DD 355 100-411",
"genart_number": 82,
"name": "Bremsscheibe",
"description": null,
"additional_info_text": null,
"product_url": "https://www.autoteile5000.de/product/1420-131617-82",
"image_url": "https://static.autoteile5000.de/product-images/HLP/4625-462502682-3-255-1548045462267.jpg",
"brand": "HELLA PAGID",
"eans": [
"4082300365078"
],
"manufacturer_product_number": "8DD 355 100-411",
"data_supplier_number": "4625",
"pricehammer": false,
"buyable": true,
"bulky_good": false,
"risky_good": false,
"hazardous_good": false,
"car_specific": true,
"has_deposit": false,
"is_exchange_part": false,
"visibility_status": "active",
"deleted": false
}
]
}
}
这是我反序列化的方法：
public List<SimpleProductDto> getProducts(ProductForm productForm) {
JsonParser jsonParser = new JsonParser();
try (InputStream inputStream = this.getClass().getClassLoader().getResourceAsStream("data/product/2210-0929-818/product.json") ) {
String text = IOUtils.toString(inputStream, StandardCharsets.UTF_8.name());
//System.out.println("print text : " + text);
//Read JSON file
JsonObject objectFromString = jsonParser.parse(text).getAsJsonObject();
// System.out.println(objectFromString.toString());
JsonObject objectFromString1 = objectFromString.getAsJsonObject("result");
// System.out.println(objectFromString.toString());
// System.out.println(objectFromString1.toString());
JsonArray jsonArray = objectFromString1.getAsJsonArray("result");
System.out.println("printing json array : " +jsonArray.toString());
ObjectMapper oMapper = new ObjectMapper();
for(JsonElement element : jsonArray){
JsonObject productObj = element.getAsJsonObject();
System.out.println("printing json object : " + productObj.toString());
SimpleproductDtoMapper productDtoList = oMapper.readValue(productObj.toString(), SimpleproductDtoMapper.class);
}
// List<SimpleproductDtoMapper> productDtoList = oMapper.readValue(jsonArray.toString(), new TypeReference<List<SimpleproductDtoMapper>>() {});
// Map<String, SimpleproductDtoMapper> items = productDtoList.stream().collect(Collectors.toMap(SimpleproductDtoMapper::getProductId, Function.identity()));
//items.forEach((k, v) -> System.out.println("Item : " + k + " Count : " + v));
//Iterate over employee array
//productList.forEach(emp -> parseProductObject((JSONObject) emp));
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
这是我的
POJO：public class SimpleproductDtoMapper {
@SerializedName("product_id")
private String productId;
private String sku;
@SerializedName("display_sku")
private String displaySku;
@SerializedName("genart_number")
private Integer genartNumber;
private String name;
private String description;
@SerializedName("additional_info_text")
private String additionalInfoText;
@SerializedName("product_url")
private String productUrl;
@SerializedName("image_url")
private String imageUrl;
private String brand;
private List<String> eans;
@SerializedName("manufacturer_product_number")
private String manufacturerProductNumber;
@SerializedName("data_supplier_number")
private String dataSupplierNumber;
private boolean pricehammer;
private boolean buyable;
@SerializedName("bulky_good")
private boolean bulkyGood;
@SerializedName("risky_good")
private boolean riskyGood;
@SerializedName("hazardous_good")
private boolean hazardousGood;
@SerializedName("car_specific")
private boolean carSpecific;
@SerializedName("has_deposit")
private boolean hasDeposit;
@SerializedName("is_exchange_part")
private boolean isExchangePart;
@SerializedName("visibility_status")
private VisibilityStatusDto visibilityStatus;
@SerializedName("deleted")
private boolean deleted;
}
我得到以下异常：
在[来源：
（字符串）“ {” product_id“：” 1420-131617-82“，” sku“：” 1420-131617“，” display_sku“：” 8DD
355
100-411“，” genart_number“：82，”名称“：” Bremsscheibe“，”描述“：null，” additional_info_text“：null，” product_url“：” https://www.autoteile5000.de/product/1420-131617-82“，” image_url“：” https://static.autoteile5000.de/product-images/HLP/4625-462502682-3-255-1548045462267.jpg“ ，“品牌”：“ HELLA
PAGID“，” eans“：[” 4082300365078“]，” manufacturer_product_number“：” 8DD 355
100-411“，” data_supplier_number“：” 4625“，” pricehammer“：false，” buyable“：tr” [被截断
174个字符]；行：1，列：16]（通过参考链：
com.kfz24.mockingservice.mapper.SimpleproductDtoMapper [“ product_id”]）
在
com.fasterxml.jackson.databind.exc.UnrecognizedPropertyException.from（UnrecognizedPropertyException.java:61）
在
com.fasterxml.jackson.databind.DeserializationContext.handleUnknownProperty（DeserializationContext.java:823）
在
com.fasterxml.jackson.databind.deser.std.StdDeserializer.handleUnknownProperty（StdDeserializer.java:1153）
在
com.fasterxml.jackson.databind.deser.BeanDeserializerBase.handleUnknownProperty（BeanDeserializerBase.java:1589）
在
com.fasterxml.jackson.databind.deser.BeanDeserializerBase.handleUnknownVanilla（BeanDeserializerBase.java:1567）
在
com.fasterxml.jackson.databind.deser.BeanDeserializer.vanillaDeserialize（BeanDeserializer.java:294）
在
com.fasterxml.jackson.databind.deser.BeanDeserializer.deserialize（BeanDeserializer.java:151）
在
com.fasterxml.jackson.databind.ObjectMapper._readMapAndClose（ObjectMapper.java:4013）
在com.fasterxml.jackson.databind.ObjectMapper.readValue（ObjectMapper.java:3004）
在com.kfz24.mockingservice.service.impl.MockingProductServiceImpl.getProducts（MockingProductServiceImpl.java:49）
在com.kfz24.mockingservice.controller.MockingProductController.getProducts（MockingProductController.java:29）
最佳答案
使用jsonschema2pojo可以生成带有POJO批注的Jackson类。选择Jackson 2.x以生成带有Jackson批注的模型。 Source type应该是JSON。在下面，您可以看到我使用此工具生成的Product类。所有属性均为public，因此将其更改为private并生成getters和setters。
class Product {
@JsonProperty("product_id")
public String productId;
@JsonProperty("sku")
public String sku;
@JsonProperty("display_sku")
public String displaySku;
@JsonProperty("genart_number")
public Integer genartNumber;
@JsonProperty("name")
public String name;
@JsonProperty("description")
public Object description;
@JsonProperty("additional_info_text")
public Object additionalInfoText;
@JsonProperty("product_url")
public String productUrl;
@JsonProperty("image_url")
public String imageUrl;
@JsonProperty("brand")
public String brand;
@JsonProperty("eans")
public List<String> eans = null;
@JsonProperty("manufacturer_product_number")
public String manufacturerProductNumber;
@JsonProperty("data_supplier_number")
public String dataSupplierNumber;
@JsonProperty("pricehammer")
public Boolean pricehammer;
@JsonProperty("buyable")
public Boolean buyable;
@JsonProperty("bulky_good")
public Boolean bulkyGood;
@JsonProperty("risky_good")
public Boolean riskyGood;
@JsonProperty("hazardous_good")
public Boolean hazardousGood;
@JsonProperty("car_specific")
public Boolean carSpecific;
@JsonProperty("has_deposit")
public Boolean hasDeposit;
@JsonProperty("is_exchange_part")
public Boolean isExchangePart;
@JsonProperty("visibility_status")
public String visibilityStatus;
@JsonProperty("deleted")
public Boolean deleted;
@Override
public String toString() {
return "Product{" +
"productId='" + productId + '\'' +
", sku='" + sku + '\'' +
", displaySku='" + displaySku + '\'' +
", genartNumber=" + genartNumber +
", name='" + name + '\'' +
", description=" + description +
", additionalInfoText=" + additionalInfoText +
", productUrl='" + productUrl + '\'' +
", imageUrl='" + imageUrl + '\'' +
", brand='" + brand + '\'' +
", eans=" + eans +
", manufacturerProductNumber='" + manufacturerProductNumber + '\'' +
", dataSupplierNumber='" + dataSupplierNumber + '\'' +
", pricehammer=" + pricehammer +
", buyable=" + buyable +
", bulkyGood=" + bulkyGood +
", riskyGood=" + riskyGood +
", hazardousGood=" + hazardousGood +
", carSpecific=" + carSpecific +
", hasDeposit=" + hasDeposit +
", isExchangePart=" + isExchangePart +
", visibilityStatus='" + visibilityStatus + '\'' +
", deleted=" + deleted +
'}';
}
}
我注意到您想跳过
result(Object) -> result(Array)级别。了解如何使用Jackson来做到这一点：import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import com.fasterxml.jackson.databind.type.CollectionType;
import java.io.File;
import java.io.FileInputStream;
import java.util.List;
public class JsonApp {
public static void main(String[] args) throws Exception {
File jsonFile = new File("./resource/test.json").getAbsoluteFile();
ObjectMapper mapper = new ObjectMapper();
mapper.enable(SerializationFeature.INDENT_OUTPUT);
JsonNode jsonNode = mapper
.reader()
.at("/result/result")
.readTree(new FileInputStream(jsonFile));
CollectionType productsType = mapper.getTypeFactory().constructCollectionType(List.class, Product.class);
List<Product> products = mapper.convertValue(jsonNode, productsType);
System.out.println(products);
}
}
上面的代码打印：
[Product{productId='1420-131617-82', sku='1420-131617', displaySku='8DD 355 100-411', genartNumber=82, name='Bremsscheibe', description=null, additionalInfoText=null, productUrl='https://www.autoteile5000.de/product/1420-131617-82', imageUrl='https://static.autoteile5000.de/product-images/HLP/4625-462502682-3-255-1548045462267.jpg', brand='HELLA PAGID', eans=[4082300365078], manufacturerProductNumber='8DD 355 100-411', dataSupplierNumber='4625', pricehammer=false, buyable=true, bulkyGood=false, riskyGood=false, hazardousGood=false, carSpecific=true, hasDeposit=false, isExchangePart=false, visibilityStatus='active', deleted=false}]
关于java - Jackson库中的UnrecognizedPropertyException，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/54890696/