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CompletableFuture：控制http响应状态码(CompletableFuture: control http response status-codes)

 我目前正在努力在特定条件下返回http响应状态码。 比方说，taskService.getNewTasks的返回对象为null。 在这种情况下，我想返回状态码404.在某些例外情况下，我想返回一些50x，依此类推。  
 我的代码到目前为止  
@RestController
public class TaskController {

  @Autowired
  private TaskService taskService;

  @GetMapping(path = "gettasks")
  private Future<Tasks> getNewTasks() {
    return taskService.getNewTasks();
  }
  ...
}

@Service
public class TaskService {

  @Async
  public Future<Tasks> getNewTasks() {
    ...
    return CompletableFuture.completedFuture(tasks);
  }
}

I'm currently struggeling returning http response status-codes on certain conditions. Let's say, the return objetct of taskService.getNewTasks is null. In this case I want to return status-code 404. On some exception I want to return some 50x, and so on. 
My code so far  
@RestController
public class TaskController {

  @Autowired
  private TaskService taskService;

  @GetMapping(path = "gettasks")
  private Future<Tasks> getNewTasks() {
    return taskService.getNewTasks();
  }
  ...
}

@Service
public class TaskService {

  @Async
  public Future<Tasks> getNewTasks() {
    ...
    return CompletableFuture.completedFuture(tasks);
  }
}

原文：https://stackoverflow.com/questions/48111147

更新时间：2022-08-12 20:08

最满意答案

 这是使用包dplyr的?lag函数的一个选项（我还使用with来减少几次输入mydata并将逻辑测试减少到只有Flag因为0和1自动被解释为逻辑值）：  
require(dplyr)
mydata$trans <- with(mydata, ifelse(Flag, paste(dplyr::lag(AG,1), "to", AG), ""))
#mydata
#       AG Flag            trans
#1  Team_a    0                 
#2  Team_b    0                 
#3      CI    0                 
#4  Team_a    1     CI to Team_a
#5  Team_b    0                 
#6  Team_b    0                 
#7       C    0                 
#8      CI    1          C to CI
#9  Team_a    0                 
#10 Team_b    1 Team_a to Team_b
 
 你可以dplyr::但我把它留在那里所以它不会与stats::lag混淆。 

Here's one option using the ?lag function from package dplyr (I also use with to reduce typing mydata several times and reduce the logical test to only Flag because 0 and 1 are automatically interpreted as logical values): 
require(dplyr)
mydata$trans <- with(mydata, ifelse(Flag, paste(dplyr::lag(AG,1), "to", AG), ""))
#mydata
#       AG Flag            trans
#1  Team_a    0                 
#2  Team_b    0                 
#3      CI    0                 
#4  Team_a    1     CI to Team_a
#5  Team_b    0                 
#6  Team_b    0                 
#7       C    0                 
#8      CI    1          C to CI
#9  Team_a    0                 
#10 Team_b    1 Team_a to Team_b
 
You could leave out the dplyr:: but I leave it there so it's not confused with stats::lag.

CompletableFuture：控制http响应状态码(CompletableFuture: control http response status-codes)

最满意答案

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