[Redux] Understand Redux Higher Order Reducers

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Higher Order Reducers are simple reducer factories, that take a reducer as an argument and return a new reducer. In that new reducer, you can customize the behaviour of the original one which helps reducing the reducer logic.

In this lesson, we‘ll see how to reduce duplicated code by refactoring two different reducers into a higher order reducer.

Reducers:

export default (state = [], { type, payload }) => {
  switch (type) {
     case "ADD_ARTICLE":
       return [...state, payload]

    default:
      return state
  }
}

export default (state = [], { type, payload }) => {
  switch (type) {
     case "ADD_USER":
       return [...state, payload]

    default:
      return state
  }
}

They both share the same code structure.

HOC reducer:

which is a reducer hoc function return a reducer function.

import { combineReducers } from "redux"
import users from "./users"
import articles from "./articles"

const addHoc = (reducer, predicate) => (state, action) => {
  if (predicate(action.type)) {
    return [...state, action.payload]
  }
  return reducer(state, action)
}

const rootReducer = combineReducers({
  users: addHoc(users, type => type === "ADD_USER"),
  articles: addHoc(articles, type => type === "ADD_ARTICLE")
})

export default rootReducer

If match the predicate function, then we can compute the next state and return it. If doesn‘t match, then pass to the reducer normally. Then we can remove "ADD_USER" and "ADD_ARTICLE" cases from reducers.

Personally I don‘t think this is a good approach... even it reduce the boilerplate code, but it decrease the code readability. I still prefer keep all the reducer logic inside the its reducer file. Just make a reuseable function would be better:

export const append = (state, payload) => {
  return [...state, payload]
}


export default (state = [], { type, payload }) => {
  switch (type) {
     case "ADD_USER":
       return append(state, payload)

    default:
      return state
  }
}

 It also make Unit testings easier.

[Redux] Understand Redux Higher Order Reducers

标签：order   nal   color   int   ica   stand   from   personal   cas   

原文地址：http://www.cnblogs.com/Answer1215/p/7524321.html