首页 > 解决方案 > 如何链接来自不同服务的响应,以便在 WebFlux 中使用“那些响应”创建 Flux 响应?

问题描述

关于问题的语境化:

  1. 我正在尝试链接来自多个服务的数据,以便聚合/合并它们的响应;

    1. 我的目标是使用从“合并响应”创建的对象列表创建最终通量。

      1. 合并基于2个服务(userService + postService)

        1. 以下是上述情况的代码:

代码:

@Slf4j
@Service
@AllArgsConstructor
public class BlogService implements BlogServiceInt {

    private final UserServiceInt userService;

    private final PostServiceInt postService;

    private final CommentServiceInt commentService;

    private final ModelMapper conv;

    @Override
    public Flux<UserAllDto> findAllShowAllDto() {

        return userService
                .findAll()
                .flatMap(user -> Flux.fromIterable(List.of(conv.map(user,UserAllDto.class))))
                .flatMap(userAllDto -> {
                             postService
                                     .findPostsByAuthorId(userAllDto.getId())
                                     .map(post -> conv.map(post,PostAllDto.class))
                                     .collectList()
                                     .flatMap(list -> {
                                         if (!list.isEmpty()) userAllDto.setPosts(list);
                                         return Mono.just(userAllDto);
                                     });

                             return Flux.fromIterable(List.of(userAllDto));
                         }
                        );
    }
}

问题:

当前有问题的 JsonResponse(邮递员):

[
    {
        "id": "60b0306f275ea3018b167dde",
        "name": "p",
        "posts": []
    },
    {
        "id": "60b03070275ea3018b167ddf",
        "name": "p",
        "posts": [
            {
                "id": null,
                "title": null,
                "listComments": []
            }
        ]
    }
]

更新:

找到解决方案

    @Override
    public Flux<UserAllDto> findAllShowAllDto() {

        return userRepo
                .findAll()
                .flatMap(user -> {
                    UserAllDto userDto = mapper.map(user,UserAllDto.class);

                    final Mono<UserAllDto> userAllDtoMono =
                            postService
                                    .findPostsByAuthorId(userDto.getId())
                                    .flatMap(post -> {
                                                 PostAllDto postDto = mapper.map(post,PostAllDto.class);

                                                 final Mono<PostAllDto> postAllDtoMono =
                                                         commentService.findCommentsByPostId(postDto.getPostId())
                                                                       .map(c -> mapper.map(c,CommentAllDto.class))
                                                                       .collectList()
                                                                       .flatMap(list -> {
                                                                    postDto.setListComments(list);
                                                                    return Mono.just(postDto);});
                                                 return postAllDtoMono.flux();})
                                    .collectList()
                                    .flatMap(list -> {
                                        userDto.setPosts(list);
                                        return Mono.just(userDto);
                                    });
                    return userAllDtoMono.flux();
                });
    }

解决方案的 JsonResponse(邮递员):

[
    {
        "id": "60b9284e08a653638c22bd97",
        "name": "bbbbbbbb ",
        "posts": [
            {
                "postId": "60b929a808a653638c22bd9d",
                "title": "bbbbbbbbbb111111111111",
                "idAuthor": "60b9284e08a653638c22bd97",
                "listComments": [
                    {
                        "commentId": "60b92bad08a653638c22bd9e",
                        "postId": "60b929a808a653638c22bd9d",
                        "idAuthor": "60b9292e08a653638c22bd9b",
                        "text": "ccccccccccccccccc 2222"
                    },
                    {
                        "commentId": "60b92c1708a653638c22bd9f",
                        "postId": "60b929a808a653638c22bd9d",
                        "idAuthor": "60b9285908a653638c22bd98",
                        "text": "aaaaaaaaaaaaaaaaaaaa 2222"
                    }
                ]
            }
        ]
    },
    {
        "id": "60b9285908a653638c22bd98",
        "name": "aaaaaaa ",
        "posts": [
            {
                "postId": "60b9287808a653638c22bd99",
                "title": "aaaaaaa1111111111111",
                "idAuthor": "60b9285908a653638c22bd98",
                "listComments": [
                    {
                        "commentId": "60b928f408a653638c22bd9a",
                        "postId": "60b9287808a653638c22bd99",
                        "idAuthor": "60b9284e08a653638c22bd97",
                        "text": "bbbbbbbbbbbbb 1111"
                    },
                    {
                        "commentId": "60b9294a08a653638c22bd9c",
                        "postId": "60b9287808a653638c22bd99",
                        "idAuthor": "60b9292e08a653638c22bd9b",
                        "text": "ccccccccccccccccc 1111"
                    }
                ]
            }
        ]
    }
]

非常感谢您的帮助

标签: reactive-programmingspring-webfluxproject-reactorspring-data-mongodb-reactivewebflux

解决方案


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