我想发送嵌套的多个数组作为 json 对象放心使用 java
i want to send nested multiple arrays as json object in rest assured using java
我有 api,我需要用 restassured-java 自动化,正文包含 json 如下,我应该如何进行?
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"window":{"b" : ";[5.25, 87.43, 86.75, 79.45, 76.16, 71.93, 57.79, 54.19, 51.88, 48.01, 46.965, 47.2075, 49.4175, 51.02, 51.1625, 51.49, 51.13, 51.21, 50.99, 50.99, 50.91, 50.99, 50.99, 51.13, 51.9, 52.04, 52.26, 52.91, 53.05, 53.34, 53.99, 54.0, 54.05, 54.29, 54.91, 54.99, 55.0, 55.0, 55.0, 55.0, 55.0, 55.0, 55.0, 54.99, 54.99, 54.99, 54.99, 54.95, 54.91, 54.91, 54.91, 54.75, 55.11, 55.11, 54.75, 54.55, 54.59, 54.71, 54.75, 54.54, 54.58, 54.54, 54.74, 54.54, 54.54, 54.54, 54.54, 54.5, 54.5, 54.5, 54.3, 54.26, 54.25, 54.29, 55.0, 55.96, 56.01, 56.05, 56.13, 56.66, 56.91, 56.87, 57.0, 56.96, 56.96, 57.46, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 56.99, 56.99, 57.0, 56.87, 56.87, 56.67, 56.35, 56.13, 56.62, 56.7, 56.66, 56.66, 56.47, 56.5, 56.87, 56.9, 56.91, 56.95, 56.95, 56.95, 56.99, 56.99, 56.99, 56.99, 57.49, 56.99, 56.99, 56.99, 56.99, 57.49, 57.49, 57.49, 57.49, 57.49, 57.49, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 57.0, 56.99];[56.99, 57.0, 57.0, 57.01, 57.01, 57.05, 57.01, 57.01, 57.05, 57.0, 57.0, 57.0, 57.0, 56.99, 57.0, 57.0, 56.99, 56.99, 56.95, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 57.0, 57.0, 56.99, 57.0, 57.0, 57.0, 57.0, 57.0, 57.01, 57.01, 57.01, 57.0, 57.05, 57.01, 57.01, 57.0, 57.0, 57.0, 56.99, 56.95, 56.99, 56.99, 56.99, 56.99, 56.95, 56.99, 56.99, 56.98, 56.99, 56.99, 56.99, 56.99, 56.95, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 57.0, 57.0, 57.0, 57.0, 56.99, 56.99, 56.99, 56.95, 56.87, 56.91, 56.91, 56.91, 56.91, 56.86, 56.86, 56.86, 56.86, 56.86, 56.86, 56.86, 56.86, 56.7, 56.86, 56.95, 56.96, 56.96, 57.01, 56.99, 57.0, 57.0, 57.01, 57.01, 57.01, 56.99, 56.91, 56.87, 56.7, 56.47, 56.5, 56.46, 56.46, 56.46, 56.34, 56.3, 56.26, 56.09, 56.42, 56.41, 56.38, 56.46, 56.46, 56.5, 56.5, 56.5, 56.58, 56.58, 56.54, 56.74, 56.75, 56.9, 56.91, 56.7, 56.54, 56.5, 56.49, 56.3, 56.29, 56.17, 56.13, 56.13, 56.09, 56.09, 56.09, 56.09, 56.09, 56.09, 56.1, 56.09, 56.1, 56.1, 56.09, 56.13, 56.26, 56.3];[56.3, 56.34, 56.46, 56.86, 56.66, 56.5, 56.5, 56.46, 56.22, 56.05, 56.05, 56.05, 56.05, 56.05, 56.05, 56.0, 56.0, 56.0, 56.0, 56.0, 56.01, 56.0, 56.01, 56.01, 56.01, 56.01, 56.05, 56.05, 56.05, 56.05, 56.05, 56.05, 56.05, 56.01, 56.01, 56.0, 56.0, 55.96, 55.95, 55.99, 55.95, 55.95, 55.95, 55.95, 55.95, 55.91, 55.95, 55.95, 55.87, 55.91, 55.91, 55.66, 55.7, 55.74, 55.74, 55.74, 55.49, 55.49, 55.5, 55.5, 55.49, 55.49, 55.49, 55.49, 55.49, 55.45, 55.4, 55.36, 55.11, 55.11, 55.11, 55.03, 55.07, 55.07, 54.82, 54.62, 54.7, 54.7, 54.66, 54.7, 54.7, 54.7, 54.87, 54.86, 54.86, 54.86, 54.86, 54.9, 54.82, 54.66, 54.5, 54.5, 54.29, 54.25, 54.09, 54.14, 54.09, 54.09, 54.1, 54.09, 54.09, 54.09, 54.09, 54.1, 54.26, 54.3, 54.45, 54.62, 54.78, 54.78, 54.62, 54.62, 54.62, 54.45, 54.29, 54.09, 54.01, 54.05, 54.01, 54.01, 54.0, 54.01, 54.01, 54.01, 54.01, 54.0, 54.01, 54.01, 54.01, 54.01, 54.01, 54.01, 54.05, 54.09, 54.05, 54.09, 54.05, 54.05, 54.05, 54.03, 53.99, 53.9, 53.9, 53.86, 53.86, 53.86, 53.86, 53.86, 53.82];[53.66, 53.82, 53.86, 53.9, 53.9, 53.9, 53.91, 53.95, 53.92, 54.0, 54.0, 54.0, 54.01, 54.0, 53.99, 53.99, 53.95, 53.86, 53.86, 53.66, 53.66, 53.66, 53.44, 53.47, 53.45, 53.45, 53.46, 53.5, 53.34, 53.5, 53.46, 53.5, 53.7, 53.7, 53.7, 53.86, 53.86, 53.95, 53.99, 53.95, 53.99, 53.98, 53.84, 53.84, 53.84, 53.62, 53.3, 53.1, 53.09, 53.05, 53.01, 53.25, 53.25, 53.2, 53.27, 53.26, 53.25, 53.25, 53.26, 53.3, 53.3, 53.3, 53.46, 53.46, 53.46, 53.62, 53.62, 53.66, 53.62, 53.46, 53.13, 53.09, 53.04, 53.0, 53.03, 52.94, 52.91, 52.9, 52.86, 52.86, 52.86, 52.86, 52.91, 52.87, 52.91, 52.94, 52.94, 52.98, 52.95, 53.04, 53.01, 53.05, 53.05, 53.05, 53.25, 53.05, 53.08,
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我认为,您可以将大量数据保存在文件中并照常使用 POJO。
例如:
import io.restassured.RestAssured;
import io.restassured.http.ContentType;
import lombok.Data;
import org.junit.jupiter.api.Test;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
public class Test3 {
@Data
static class RequestBody {
private Signal signal;
private int frameStartPoint;
}
@Data
static class Signal {
private int numWindow;
private Continuous continuous;
private Window window;
}
@Data
static class Continuous {
private String r;
private String g;
private String b;
}
@Data
static class Window {
private String b;
}
@Test
void name() throws IOException {
String r = Files.readString(Path.of("src/test/resources/r.text"));
String g = Files.readString(Path.of("src/test/resources/g.text"));
String b = Files.readString(Path.of("src/test/resources/b.text"));
Window window = new Window();
window.setB(b);
Continuous continuous = new Continuous();
continuous.setR(r);
continuous.setG(g);
continuous.setB(b);
Signal signal = new Signal();
signal.setNumWindow(2);
signal.setContinuous(continuous);
signal.setWindow(window);
RequestBody requestBody = new RequestBody();
requestBody.setFrameStartPoint(154);
requestBody.setSignal(signal);
RestAssured.given().log().body()
.contentType(ContentType.JSON)
.body(requestBody)
.post("https://postman-echo.com/post");
}
}
结果(我只是在文件中保存了一小部分数据以使结果可读)
Body:
{
"signal": {
"numWindow": 2,
"continuous": {
"r": "[199.0, 230.93, 215.14, 215.3]",
"g": "[0.0, 0.0, 0.0, 0.505, 33.3]",
"b": "[5.25, 87.43, 56.3]"
},
"window": {
"b": "[5.25, 87.43, 56.3]"
}
},
"frameStartPoint": 154
}
我有 api,我需要用 restassured-java 自动化,正文包含 json 如下,我应该如何进行?
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"window":{"b" : ";[5.25, 87.43, 86.75, 79.45, 76.16, 71.93, 57.79, 54.19, 51.88, 48.01, 46.965, 47.2075, 49.4175, 51.02, 51.1625, 51.49, 51.13, 51.21, 50.99, 50.99, 50.91, 50.99, 50.99, 51.13, 51.9, 52.04, 52.26, 52.91, 53.05, 53.34, 53.99, 54.0, 54.05, 54.29, 54.91, 54.99, 55.0, 55.0, 55.0, 55.0, 55.0, 55.0, 55.0, 54.99, 54.99, 54.99, 54.99, 54.95, 54.91, 54.91, 54.91, 54.75, 55.11, 55.11, 54.75, 54.55, 54.59, 54.71, 54.75, 54.54, 54.58, 54.54, 54.74, 54.54, 54.54, 54.54, 54.54, 54.5, 54.5, 54.5, 54.3, 54.26, 54.25, 54.29, 55.0, 55.96, 56.01, 56.05, 56.13, 56.66, 56.91, 56.87, 57.0, 56.96, 56.96, 57.46, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 57.5, 56.99, 56.99, 57.0, 56.87, 56.87, 56.67, 56.35, 56.13, 56.62, 56.7, 56.66, 56.66, 56.47, 56.5, 56.87, 56.9, 56.91, 56.95, 56.95, 56.95, 56.99, 56.99, 56.99, 56.99, 57.49, 56.99, 56.99, 56.99, 56.99, 57.49, 57.49, 57.49, 57.49, 57.49, 57.49, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 57.0, 56.99];[56.99, 57.0, 57.0, 57.01, 57.01, 57.05, 57.01, 57.01, 57.05, 57.0, 57.0, 57.0, 57.0, 56.99, 57.0, 57.0, 56.99, 56.99, 56.95, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 57.0, 57.0, 56.99, 57.0, 57.0, 57.0, 57.0, 57.0, 57.01, 57.01, 57.01, 57.0, 57.05, 57.01, 57.01, 57.0, 57.0, 57.0, 56.99, 56.95, 56.99, 56.99, 56.99, 56.99, 56.95, 56.99, 56.99, 56.98, 56.99, 56.99, 56.99, 56.99, 56.95, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 56.99, 57.0, 57.0, 57.0, 57.0, 56.99, 56.99, 56.99, 56.95, 56.87, 56.91, 56.91, 56.91, 56.91, 56.86, 56.86, 56.86, 56.86, 56.86, 56.86, 56.86, 56.86, 56.7, 56.86, 56.95, 56.96, 56.96, 57.01, 56.99, 57.0, 57.0, 57.01, 57.01, 57.01, 56.99, 56.91, 56.87, 56.7, 56.47, 56.5, 56.46, 56.46, 56.46, 56.34, 56.3, 56.26, 56.09, 56.42, 56.41, 56.38, 56.46, 56.46, 56.5, 56.5, 56.5, 56.58, 56.58, 56.54, 56.74, 56.75, 56.9, 56.91, 56.7, 56.54, 56.5, 56.49, 56.3, 56.29, 56.17, 56.13, 56.13, 56.09, 56.09, 56.09, 56.09, 56.09, 56.09, 56.1, 56.09, 56.1, 56.1, 56.09, 56.13, 56.26, 56.3];[56.3, 56.34, 56.46, 56.86, 56.66, 56.5, 56.5, 56.46, 56.22, 56.05, 56.05, 56.05, 56.05, 56.05, 56.05, 56.0, 56.0, 56.0, 56.0, 56.0, 56.01, 56.0, 56.01, 56.01, 56.01, 56.01, 56.05, 56.05, 56.05, 56.05, 56.05, 56.05, 56.05, 56.01, 56.01, 56.0, 56.0, 55.96, 55.95, 55.99, 55.95, 55.95, 55.95, 55.95, 55.95, 55.91, 55.95, 55.95, 55.87, 55.91, 55.91, 55.66, 55.7, 55.74, 55.74, 55.74, 55.49, 55.49, 55.5, 55.5, 55.49, 55.49, 55.49, 55.49, 55.49, 55.45, 55.4, 55.36, 55.11, 55.11, 55.11, 55.03, 55.07, 55.07, 54.82, 54.62, 54.7, 54.7, 54.66, 54.7, 54.7, 54.7, 54.87, 54.86, 54.86, 54.86, 54.86, 54.9, 54.82, 54.66, 54.5, 54.5, 54.29, 54.25, 54.09, 54.14, 54.09, 54.09, 54.1, 54.09, 54.09, 54.09, 54.09, 54.1, 54.26, 54.3, 54.45, 54.62, 54.78, 54.78, 54.62, 54.62, 54.62, 54.45, 54.29, 54.09, 54.01, 54.05, 54.01, 54.01, 54.0, 54.01, 54.01, 54.01, 54.01, 54.0, 54.01, 54.01, 54.01, 54.01, 54.01, 54.01, 54.05, 54.09, 54.05, 54.09, 54.05, 54.05, 54.05, 54.03, 53.99, 53.9, 53.9, 53.86, 53.86, 53.86, 53.86, 53.86, 53.82];[53.66, 53.82, 53.86, 53.9, 53.9, 53.9, 53.91, 53.95, 53.92, 54.0, 54.0, 54.0, 54.01, 54.0, 53.99, 53.99, 53.95, 53.86, 53.86, 53.66, 53.66, 53.66, 53.44, 53.47, 53.45, 53.45, 53.46, 53.5, 53.34, 53.5, 53.46, 53.5, 53.7, 53.7, 53.7, 53.86, 53.86, 53.95, 53.99, 53.95, 53.99, 53.98, 53.84, 53.84, 53.84, 53.62, 53.3, 53.1, 53.09, 53.05, 53.01, 53.25, 53.25, 53.2, 53.27, 53.26, 53.25, 53.25, 53.26, 53.3, 53.3, 53.3, 53.46, 53.46, 53.46, 53.62, 53.62, 53.66, 53.62, 53.46, 53.13, 53.09, 53.04, 53.0, 53.03, 52.94, 52.91, 52.9, 52.86, 52.86, 52.86, 52.86, 52.91, 52.87, 52.91, 52.94, 52.94, 52.98, 52.95, 53.04, 53.01, 53.05, 53.05, 53.05, 53.25, 53.05, 53.08,
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我认为,您可以将大量数据保存在文件中并照常使用 POJO。
例如:
import io.restassured.RestAssured;
import io.restassured.http.ContentType;
import lombok.Data;
import org.junit.jupiter.api.Test;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
public class Test3 {
@Data
static class RequestBody {
private Signal signal;
private int frameStartPoint;
}
@Data
static class Signal {
private int numWindow;
private Continuous continuous;
private Window window;
}
@Data
static class Continuous {
private String r;
private String g;
private String b;
}
@Data
static class Window {
private String b;
}
@Test
void name() throws IOException {
String r = Files.readString(Path.of("src/test/resources/r.text"));
String g = Files.readString(Path.of("src/test/resources/g.text"));
String b = Files.readString(Path.of("src/test/resources/b.text"));
Window window = new Window();
window.setB(b);
Continuous continuous = new Continuous();
continuous.setR(r);
continuous.setG(g);
continuous.setB(b);
Signal signal = new Signal();
signal.setNumWindow(2);
signal.setContinuous(continuous);
signal.setWindow(window);
RequestBody requestBody = new RequestBody();
requestBody.setFrameStartPoint(154);
requestBody.setSignal(signal);
RestAssured.given().log().body()
.contentType(ContentType.JSON)
.body(requestBody)
.post("https://postman-echo.com/post");
}
}
结果(我只是在文件中保存了一小部分数据以使结果可读)
Body:
{
"signal": {
"numWindow": 2,
"continuous": {
"r": "[199.0, 230.93, 215.14, 215.3]",
"g": "[0.0, 0.0, 0.0, 0.505, 33.3]",
"b": "[5.25, 87.43, 56.3]"
},
"window": {
"b": "[5.25, 87.43, 56.3]"
}
},
"frameStartPoint": 154
}