# jsonapi-datastore
[![Build Status](https://travis-ci.org/beauby/jsonapi-datastore.svg)](https://travis-ci.org/beauby/jsonapi-datastore)
JavaScript client-side [JSON API](http://jsonapi.org) data handling made easy.
Current version is v0.4.0-beta. It is still a work in progress, but should do what it says.
## Description
The [JSONAPI](http://jsonapi.org) standard is great for exchanging data (which is its purpose), but the format is not ideal to work directly with in an application.
jsonapi-datastore is a JavaScript framework-agnostic library (but an [AngularJS version](#angularjs) is provided for convenience) that takes away the burden of handling [JSONAPI](http://jsonapi.org) data on the client side.
What it does:
- read JSONAPI payloads,
- rebuild the underlying data graph,
- allows you to query models and access their relationships directly,
- create new models,
- serialize models for creation/update.
What it does not do:
- make requests to your API. You design your endpoints URLs, the way you handle authentication, caching, etc. is totally up to you.
## Installing
Install jsonapi-datastore with `bower` by running:
```
$ bower install jsonapi-datastore
```
or with `npm` by running:
```
$ npm install jsonapi-datastore
```
## Parsing data
Just call the `.sync()` method of your store.
```javascript
var store = new JsonApiDataStore();
store.sync(data);
```
This parses the data and incorporates it in the store, taking care of already existing records (by updating them) and relationships.
## Parsing with meta data
If you have meta data in your payload use the `.syncWithMeta` method of your store.
```javascript
var store = new JsonApiDataStore();
store.syncWithMeta(data);
```
This does everything that `.sync()` does, but returns an object with data and meta split.
## Retrieving models
Just call the `.find(type, id)` method of your store.
```javascript
var article = store.find('article', 123);
```
or call the `.findAll(type)` method of your store to get all the models of that type.
```javascript
var articles = store.findAll('article');
```
All the attributes *and* relationships are accessible through the model as object properties.
```javascript
console.log(article.author.name);
```
In case a related resource has not been fetched yet (either as a primary resource or as an included resource), the corresponding property on the model will contain only the `type` and `id` (and the `._placeHolder` property will be set to `true`). However, the models are *updated in place*, so you can fetch a related resource later, and your data will remain consistent.
## Serializing data
Just call the `.serialize()` method on the model.
```javascript
console.log(article.serialize());
```
## Examples
```javascript
// Create a store:
var store = new JsonApiDataStore();
// Then, given the following payload, containing two `articles`, with a related `user` who is the author of both:
var payload = {
data: [{
type: 'article',
id: 1337,
attributes: {
title: 'Cool article'
},
relationships: {
author: {
data: {
type: 'user',
id: 1
}
}
}
}, {
type: 'article',
id: 300,
attributes: {
title: 'Even cooler article'
},
relationships: {
author: {
data: {
type: 'user',
id: 1
}
}
}
}]
};
// we can sync it:
var articles = store.sync(payload);
// which will return the list of synced articles.
// Later, we can retrieve one of those:
var article = store.find('article', 1337);
// If the author resource has not been synced yet, we can only access its id and its type:
console.log(article.author);
// { id: 1, _type: 'article' }
// If we do sync the author resource later:
var authorPayload = {
data: {
type: 'user',
id: 1,
attributes: {
name: 'Lucas'
}
}
};
store.sync(authorPayload);
// we can then access the author's name through our old `article` reference:
console.log(article.author.name);
// 'Lucas'
// We can also serialize any whole model in a JSONAPI-compliant way:
console.log(article.serialize());
// ...
// or just a subset of its attributes/relationships:
console.log(article.serialize({ attributes: ['title'], relationships: []}));
// ...
```
## Documentation
See [DOCUMENTATION.md](DOCUMENTATION.md).
## What's missing
Currently, the store does not handle `links` attributes or resource-level or relationship-level meta.
## Notes
### AngularJS
jsonapi-datastore is bundled with an AngularJs wrapper. Just include `ng-jsonapi-datastore.js` in your `index.html` and require the module `beauby.jsonApiDataStore` in your application.
You can then use the `JsonApiDataStore` factory, which is essentially defined as follows:
```javascript
{
store: new JsonApiDataStore(),
Model: JsonApiDataStoreModel
}
```
so that you can use it as follows:
```javascript
angular
.module('myApp')
.controller('myController', function(JsonApiDataStore) {
var article = JsonApiDataStore.store.find('article', 1337);
var newArticle = new JsonApiDataStore.Model('article');
newArticle.setAttribute('title', 'My cool article');
console.log(newArticle.serialize());
});
```
## Contributing
All pull-requests welcome!
coding已疯狂
- 粉丝: 1134
- 资源: 1674
最新资源
- 【创新无忧】基于雾凇优化算法RIME优化广义神经网络GRNN实现电机故障诊断附matlab代码.rar
- 【创新无忧】基于雾凇优化算法RIME优化广义神经网络GRNN实现数据回归预测附matlab代码.rar
- 【创新无忧】基于雾凇优化算法RIME优化相关向量机RVM实现北半球光伏数据预测附matlab代码.rar
- 【创新无忧】基于雾凇优化算法RIME优化极限学习机KELM实现故障诊断附matlab代码.rar
- 【创新无忧】基于雾凇优化算法RIME优化极限学习机ELM实现乳腺肿瘤诊断附matlab代码.rar
- 【创新无忧】基于雾凇优化算法RIME优化相关向量机RVM实现数据多输入单输出回归预测附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化广义神经网络GRNN实现光伏预测附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化广义神经网络GRNN实现电机故障诊断附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化广义神经网络GRNN实现数据回归预测附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化极限学习机ELM实现乳腺肿瘤诊断附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化极限学习机KELM实现故障诊断附matlab代码.rar
- 【创新无忧】基于星雀优化算法NOA优化广义神经网络GRNN实现电机故障诊断附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化相关向量机RVM实现数据多输入单输出回归预测附matlab代码.rar
- 【创新无忧】基于向量加权平均算法INFO优化相关向量机RVM实现北半球光伏数据预测附matlab代码.rar
- 【创新无忧】基于星雀优化算法NOA优化极限学习机ELM实现乳腺肿瘤诊断附matlab代码.rar
- 【创新无忧】基于星雀优化算法NOA优化广义神经网络GRNN实现光伏预测附matlab代码.rar
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈