如何在 Flux 应用程序中处理嵌套的 API 响应? [英] How do I handle nested API responses in a Flux application?
问题描述
我正在将一个现有的应用程序移植到 Flux,我对一个主题有点困惑.假设我有几个返回两级或三级嵌套对象的 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/articles
可能会返回架构的 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
}
如您所见,有各种不同级别的用户:
As you see, there are all kinds of users at different levels of nesting:
articles[i].author
articles[i].likers[i]
articles[i].primaryCollection.curator
articles[i].collections[i].curator
如果我想在任何时候获取文章时使用新数据更新 UserStore
,我必须编写一个可怕的方法来检查文章 API 响应上的所有嵌套实体.此外,还会有很多重复,因为还有其他具有不同架构的 API 端点,有时文章会嵌入用户内部(例如 GET/user/published
).
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
).
是否有一种更简洁的方式让 Flux 商店从所有 API 响应中提取嵌套实体?
Is there a cleaner way for Flux stores to extract nested entities out of all API responses?
推荐答案
Jing Chen(Flux 的创建者和布道者之一)建议的方法) 是为了在 API 响应到达 Stores 之前将它们展平.我写了一个小库来做到这一点:它规范化
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'
}
}]
到
{
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,结构是扁平的.)
(Note there is no duplication and the structure is flat.)
Normalizr 让您:
Normalizr lets you:
- 在其他实体、对象和数组中嵌套实体
- 组合实体模式以表达任何类型的 API 响应
- 自动合并具有相同 ID 的实体(如果它们不同,则会发出警告)
- 使用自定义 ID 属性(例如 slug)
要使用它,您需要定义实体和嵌套规则并使用它们来转换 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);
这允许您在将任何 XHR 响应传递给 Flux Dispatcher 之前对其进行标准化.Stores 只需要从相应的字典中更新自己:
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;
}
});
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