对于令人困惑的标题感到抱歉,但这是方案,
下面有一个API响应,
library(dplyr)
df %>% select(-ends_with(".1")) %>%
mutate_at(vars(A:E),
funs(l = ifelse(lag(id)==id & lag(., default=0) == "1",acumulativediff,0)))
# id date A B C D E acumulativediff A_l B_l C_l D_l E_l
# 1 1 2015-01-15 0 1 0 0 1 0 0 0 0 0 0
# 2 2 2004-03-01 1 0 1 0 1 0 0 0 0 0 0
# 3 2 2017-03-15 1 1 0 0 1 4762 4762 0 4762 0 4762
# 4 3 2000-01-15 0 0 0 1 0 0 0 0 0 0 0
# 5 4 2006-05-08 1 1 0 1 0 0 0 0 0 0 0
# 6 4 2008-05-09 1 0 1 1 0 732 732 732 0 732 0
# 7 4 2014-05-11 0 0 1 1 0 2925 2925 0 2925 2925 0
# 8 4 2014-06-11 0 0 1 0 0 2956 0 0 2956 2956 0
# 9 4 2014-07-11 1 1 1 1 1 2986 0 0 2986 0 0
# 10 4 2014-08-11 1 1 1 0 1 3017 3017 3017 3017 3017 3017
# 11 5 2015-12-19 1 1 0 1 1 0 0 0 0 0 0
我需要用这两个RealmObjets模拟这个响应,
"API_RESPONSE": {
"id": "12345",
"name": "Michael",
"surname": "J.",
"inventory"{
...
...
}
}
所以这就是问题,如何使用这两个对象建模API响应?
答案 0 :(得分:0)
public class ApiResponse {
@SerializedName("API_RESPONSE")
public ApiResponsePayload payload;
}
public class ApiResponsePayload {
@SerializedName("id")
public String id;
@SerializedName("name")
public String name;
@SerializedName("surname")
public String surname;
@SerializedName("inventory")
public Inventory inventory;
public ApiResponsePayload() { // for gson
}
public ApiResponsePayload(ModelA modelA, ModelB modelB) {
this.id = modelA.getId();
this.name = modelA.getName();
this.surname = modelA.getSurname();
this.inventory = modelB.getInventory();
}
}