我正在尝试从RestTemplate检索对象,但是每次发生JsonMappingException时。我正在尝试在其上映射json对象的类吗?看起来一开始的数组可能是个问题,但我无法弄清楚。
Caused by: com.fasterxml.jackson.databind.JsonMappingException:
Can not deserialize instance of com.lubaszak.bean.ProductInfo[] out
of START_OBJECT token
at [Source: java.io.PushbackInputStream@10a3c667; line: 1, column: 1]
public ResponseEntity<ProductInfo[]> getProductByQuery(@PathVariable String query) {
HttpEntity<?> httpEntity = headersProvider.getHeaders();
ResponseEntity<ProductInfo[]> product = restConfig.createRestTemplate()
.exchange("https://trackapi.nutritionix.com/v2/search/instant?query={query}&common=false&branded=false",HttpMethod.GET, httpEntity, ProductInfo[].class, query);
return product;
Json对象:
"branded": [
{
"food_name": "Big Mac",
"serving_unit": "burger",
"nix_brand_id": "513fbc1283aa2dc80c000053",
"brand_name_item_name": "McDonald's Big Mac",
"serving_qty": 1,
"nf_calories": 540,
"photo": {
"thumb": "https://d2eawub7utcl6.cloudfront.net/images/nix-apple-grey.png",
"highres": null,
"is_user_uploaded": false
},
"brand_name": "McDonald's",
"region": 1,
"brand_type": 1,
"nix_item_id": "513fc9e73fe3ffd40300109f",
"locale": "en_US"
},
Java类:
@JsonIgnoreProperties(ignoreUnknown = true)
public class ProductInfo {
@JsonProperty("food_name")
public String foodName;
@JsonProperty("serving_unit")
public String servingUnit;
@JsonProperty("nix_brand_id")
public String nixBrandId;
@JsonProperty("brand_name_item_name")
public String brandNameItemName;
@JsonProperty("serving_qty")
public Integer servingQty;
@JsonProperty("nf_calories")
public Integer nfCalories;
@JsonProperty("brand_name")
public String brandName;
@JsonProperty("brand_type")
public Integer brandType;
@JsonProperty("nix_item_id")
public String nixItemId;
//getter methods
}
答案 0 :(得分:0)
上面的JSON是JSONObject的JSONArray,我相信实际格式是
if __name__ == '__main__':
rospy.init_node("path_planner")
app.run(debug=True)
所以这应该映射到包含library(foreign)
library(dplyr)
mydata = read.dta("http://dss.princeton.edu/training/Panel101.dta")
mydata$time = ifelse(mydata$year >= 1994, 1, 0)
mydata$treated = ifelse(mydata$country == "E" |
mydata$country == "F" |
mydata$country == "G", 1, 0)
mydata$did = mydata$time * mydata$treated
df_0 <- NULL
for (i in 1:length(seq(5,nrow(mydata)-1,5))){
index <- seq(5,nrow(mydata),5)[i]
df_1 <- NULL
for (j in 1:100){
mydata_temp <- mydata[sample(nrow(mydata), index), ]
didreg = lm(y ~ treated + time + did, data = mydata_temp)
out <- summary(didreg)
new_line <- c(out$coefficients[,1][4], out$coefficients[,2][4], index)
new_line <- data.frame(t(new_line))
names(new_line) <- c("c","s","i")
df_1 <- rbind(df_1,new_line)
}
df_0 <- rbind(df_0,df_1)
}
df_0 <- df_0 %>% group_by(i) %>% summarise(c = mean(c, na.rm = T), s =
mean(s, na.rm = T))
df_0 <- df_0 %>% group_by(i) %>% mutate(upper = c+s, lower = c-s)
df <- df_0
plot(df$i, df$c, ylim=c(min(df_0$c)-5000000000, max(df_0$c)+5000000000), type = "l")
polygon(c(df$i,rev(df$i)),c(df$lower,rev(df$upper)),col = "grey75", border = FALSE)
lines(df$i, df$c, lwd = 2)
数组的POJO,所以要有包含 {
"branded": [
{
"food_name": "Big Mac",
"serving_unit": "burger",
"nix_brand_id": "513fbc1283aa2dc80c000053",
"brand_name_item_name": "McDonald's Big Mac",
"serving_qty": 1,
"nf_calories": 540,
"photo": {
"thumb": "https://d2eawub7utcl6.cloudfront.net/images/nix-apple-grey.png",
"highres": null,
"is_user_uploaded": false
},
"brand_name": "McDonald's",
"region": 1,
"brand_type": 1,
"nix_item_id": "513fc9e73fe3ffd40300109f",
"locale": "en_US"
},
{
"food_name": "Big Mac",
"serving_unit": "burger",
"nix_brand_id": "513fbc1283aa2dc80c000053",
"brand_name_item_name": "McDonald's Big Mac",
"serving_qty": 1,
"nf_calories": 540,
"photo": {
"thumb": "https://d2eawub7utcl6.cloudfront.net/images/nix-apple-grey.png",
"highres": null,
"is_user_uploaded": false
},
"brand_name": "McDonald's",
"region": 1,
"brand_type": 1,
"nix_item_id": "513fc9e73fe3ffd40300109f",
"locale": "en_US"
}]
}
数组的pojo类
branded
API调用
branded