redux-jam
redux-jam
aims to make interacting with relational database based APIs
easier and more powerful.
Installation
npm install redux-jam
or
yarn add redux-jam
Add the JAM model reducer to your root reducer:
import {reducer as model} from 'redux-jam'
const rootReducer = combineReducers({
model,
...
})
export default rootReducer
Defining a Schema
Before data can be manipulated a schema describing the structure of the data
must be defined. There are a number of ways to do it, the two most common are
to define the data manually, or import it automatically using an external
package.
Manual Definition
Schemas are built using the Schema
class:
import {Schema} from 'redux-jam'
let schema = new Schema()
To define models in a schema, use the merge
method, which accepts an object
argument describing a part of a schema:
schema.merge({})
merge
may be called any number of times. Each subsequent call will overwrite
any overlapping models.
The structure of the schema object is similar in some ways to the structure of
a JSON-API object. Take for example the following definition of a movie:
{
movie: {
attributes: {
name: {
required: true
},
duration: {}
},
relationships: {
actors: {
type: "person",
many: true,
relatedName: "acted_in"
}
}
api: {
list: () => {},
detail: () => {},
create: () => {},
update: () => {},
delete: () => {}
}
},
person: {
attributes: {
name: {
required: true
}
},
api: {
list: () => {},
detail: () => {},
create: () => {},
update: () => {},
delete: () => {}
}
}
}
This defines two models: movie
and person
. The api
sections of each
model are placeholders for calls to API endpoints. They should return promises,
which in turn return JSON-API structured data.
Options for attributes are currently limited to required
.
Options for relationships:
-
type
-
required
-
many
-
relatedName
Django + DRF
If you're using Django and DRF, your schema can be loaded into JAM
automatically, which is particularly convenient.
Refer to Django-JAM
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