我该如何处理通量应用嵌套的API响应? [英] How do I handle nested API responses in a Flux application?

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问题描述

我移植现有的应用流量和我有点困惑的一个话题。
说我有返回两个或三个级别的嵌套对象几个API端点。

I'm porting an existing app to Flux and I'm a bit confused about one topic. Say I have several API endpoints that return two- or three-level nested objects.

例如, GET /条可能返回模式的JSON响应

For example, GET /articles may return a JSON response of schema

articles: article*

article: {
  author: user,
  likers: user*
  primary_collection: collection?
  collections: collection*
}

collection: {
  curator: user
}

如你所见,有不同层次的嵌套各类用户的:

As you see, there are all kinds of users at different levels of nesting:


  • 的文章[I] .author

  • 的文章[I] .likers [I]

  • 的文章[I] .primaryCollection.curator

  • 的文章[I] .collections [I] .curator

  • articles[i].author
  • articles[i].likers[i]
  • articles[i].primaryCollection.curator
  • articles[i].collections[i].curator

如果我想更新 UserStore 新鲜的数据随时文章牵强,我不得不写检查上的文章API响应所有嵌套实体滔天方法。此外,将有很多重复的,因为也有不同的模式等API端点,有时文章嵌入到用户(如 GET /用户/发表

If I want to update UserStore with fresh data any time articles are fetched, I'd have to write a monstrous method that checks all nested entities on article API response. Moreover, there would be a lot of duplication because there are also other API endpoints with different schemas, and sometimes articles are embedded inside users (e.g. GET /user/published).

有没有助焊剂店更清洁的方式提取嵌套实体的所有API响应?

Is there a cleaner way for Flux stores to extract nested entities out of all API responses?

推荐答案

陈静(光通量的创造者和传道者的一个建议的方法)是他们到达前门店拉平API响应。我写了一个小库,做到了这一点:它标准化

An approach suggested by Jing Chen (one of Flux creators and evangelists) was to flatten API responses before they reach the Stores. I wrote a small library that does just that: it normalizes

[{
  id: 1,
  title: 'Some Article',
  author: {
    id: 1,
    name: 'Dan'
  }
}, {
  id: 2,
  title: 'Other Article',
  author: {
    id: 1,
    name: 'Dan'
  }
}]

{
  result: [1, 2],
  entities: {
    articles: {
      1: {
        id: 1,
        title: 'Some Article',
        author: 1
      },
      2: {
        id: 2,
        title: 'Other Article',
        author: 1
      }
    },
    users: {
      1: {
        id: 1,
        name: 'Dan'
      }
    }
  }
}

(注意没有重复,结构是平的。)

(Note there is no duplication and the structure is flat.)

Normalizr ,您可以:

Normalizr lets you:


  • 内的其他实体,对象和数组巢实体

  • 联合实体模式来恩preSS任何一种API响应

  • 自动合并同一与实体的ID(有一个警告,如果他们有所不同)

  • 使用自定义的ID属性(例如塞)

要使用它,你需要定义你的实体和嵌套规则,并用它们来改变JSON:

To use it, you need to define your entities and nesting rules and use them to transform JSON:

var normalizr = require('normalizr'),
    normalize = normalizr.normalize,
    Schema = normalizr.Schema,
    arrayOf = normalizr.arrayOf;

// First, define a schema:

var article = new Schema('articles'),
    user = new Schema('users'),
    collection = new Schema('collections');

// Define nesting rules:

article.define({
  author: user,
  collections: arrayOf(collection)
});

collection.define({
  curator: user
});


// Usage:

// Normalize articles
var articlesJSON = getArticleArray(),
    normalized = normalize(articlesJSON, arrayOf(article));

// Normalize users
var usersJSON = getUsersArray(),
    normalized = normalize(usersJSON, arrayOf(user));

// Normalize single article
var articleJSON = getArticle(),
    normalized = normalize(articleJSON, article);

这可以让你将其传递给调度员焊剂正常化之前,任何XHR回应。
该商店将只需要在相应的字典自我更新:

This allows you to normalize any XHR response before passing it to Flux Dispatcher. The Stores will only need to update themselves from the corresponding dictionary:

// UserStore

UserStore.dispatchToken = AppDispatcher.register(function (payload) {
  var action = payload.action;

  switch (action.type) {
  // you can add any normalized API here since that contains users:
  case ActionTypes.RECEIVE_ARTICLES:
  case ActionTypes.RECEIVE_USERS:

    // Users will always be gathered in action.entities.users
    mergeInto(_users, action.entities.users);
    UserStore.emitChange();
    break;
  }
});


// ArticleStore

AppDispatcher.register(function (payload) {
  var action = payload.action;

  switch (action.type) {
  // you can add any normalized API here since that contains articles:
  case ActionTypes.RECEIVE_ARTICLES:

    // Wait for UserStore to digest users
    AppDispatcher.waitFor([UserStore.dispatchToken]);

    // Articles will always be gathered in action.entities.articles
    mergeInto(_articles, action.entities.articles);
    ArticleStore.emitChange();
    break;
  }
});

这篇关于我该如何处理通量应用嵌套的API响应?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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