core-v2

Reatom is state manager for both simple and complex applications.

@reatom/core-v2

Core package of Reatom↗ state manager.

Features

🐣 simple abstraction and friendly DX: minimum boilerplate and tiny API
⚡ performance: performant updates for partial state changes
🧯 reliable: atomicity↗ guaranties
❗️ static typed: best type inferences
🗜 small size: 2 KB↗ gzipped
📦 modular: reusable instances (SSR)
🍴 lazy: solution for code splitting out of the box
🔌 framework-agnostic: independent and self-sufficient
🧪 testing: simple mocking
🛠 debugging: immutable data and built-in debugger
👴 IE11 support: Can I Use↗
synchronous glitch↗ free
simple integration with other libraries (Observable, redux ecosystem, etc)
awkward to write bad code
easy to write good code

Reatom is a mix of all best from MobX and Redux. It processes immutable data by separated atoms and use single global store, which make dataflow predictable, but granular and efficient.

Who use Reatom

List of companies

ГК «Астрал»↗

Short example

import { createAtom } from '@reatom/core-v2'

export const amountAtom = createAtom(
  { clear: () => {}, add: (value: number) => value },
  ({ onAction, schedule }, state = 0) => {
    onAction('clear', () => (state = 0))
    onAction('add', (value) => (state = state + value))

    schedule(() => console.log(`Amount is ${state}`))

    return state
  },
)
amountAtom.getState()
// -> 0
amountAtom.add.dispatch(7)
amountAtom.getState()
// -> 7

Comparison

PR welcome for other framework agnostic managers.

Name	Bundle size	Granularity	API strictness	Lifetime	Atomicity	Effects managements	API	Direction	Glitch free	Immutability
Reatom	2kb gzip	+	+	warm	+	+	selector	pull/push	+	+
Redux	1.6kb gzip	-	-	hot/cold	+/-	-	selector	pull	-	+
RTK	11kb gzip	-	+/-	hot/warm/cold	+/-	+/-	selector	pull	+	+
Mobx	15kb gzip	+	-	warm	-	+/-	proxy	pull/push	+	-
Effector	10kb gzip	+	-	hot	-	+	selector	push	+	+
Nanostores	<1kb gzip	+	-	warm	-	+/-	selector	push	-	+

Explanation

Bundle size is important because which it smaller thats more projects you may cover with chosen solution. Reusable tech stack increase your performance and reduce contexts switching.
Granularity describe the type of dependencies tracking and lack of it may reduce performance.
TODO…

Install

npm i @reatom/core-v2

yarn add @reatom/core-v2

Motivation

Reatom goals

The features list is reflecting our vision of perfectly balanced tool for any kind of application data management. But most important goals probably are performance, atomicity guaranties and tiny basic API with immutable principles for predictable debugging.

What is state management?

State is a term from FSA↗ that means a consistent data with predicted shape (and literals) in some time slice of application lifetime. Most libraries for data manipulation which calls itself state manager don’t give you atomicity guaranties. But if we take a look at the innovator of this approach React.js we found that without componentDidCatch your application may be destroyed by any error in a render phase. Reatom follow same principles, but instead of throwing a whole state at an error it cancels accumulated state and leaves only previous valid state.

Also, state manager provides an API for describing and transforming application state in a right way, so you may solve a most class of problems with it, management domain data (user profile, entities editing…) or environment data (routing, network cache…). Also it has a reactive interface which helps to decouple application modules / components.

Those problem you may solve in other ways too: streams / services / classes, but if you want more reliability guaranties and better debugging experience state manager doing it better.

Guides

Introduction

The main item of Reatom core is createAtom. It is a pack of most needed features which helps you to solve most tasks. Generally, architecture of Reatom built around a store, which is an event emitter with two queues: pure computations and side effect. Atoms allows you to describe reactive computations with fine granted optimizations and schedule effects.

If you need \ interesting in detailed architecture design you should check architecture chapter and next chapter about building your own atom creators.

As any computations, it results and effects processed by the store, it easy for debugging and testing. But not every application need it and for that case we have a defaultStore which binds to createAtom and allow to subscribe to it and dispatch it actions inline without manual store management.

Basic example

createAtom accepts two required arguments: a collection of dependencies and reducer function. The third argument is optional and allows you to set atom identificator or reducer decorators.

import { createAtom } from '@reatom/core-v2'

const inputAtom = createAtom(
  // Plain function in dependencies are used as mappers
  // (calls to convert action creator (AC) arguments to action payload)
  // for AC with same names,
  // which you may handle in the reducer
  { change: (text: string) => text },
  // Reducer is a function which recall on every related dispatch.
  // The `track` parameter includes handlers
  // to subscribe and react to dependencies actions and atoms
  (track, state = '') => {
    track.onAction('change', (text) => (state = text))
    return state
  },
)

const greetingAtom = createAtom(
  // Atoms in dependencies available in the reducer
  // to receiving it's state and subscribe to it's changes
  { input: inputAtom },
  (track) => `Hello, ${track.get(`input`)}!`,
)

// calculate actual state
greetingAtom.getState()
// -> `Hello, !`

// Get described (in the first argument) action creator
// from static property by the same name
inputAtom.change(`Tom`)
// { type: `atom [1] - change`, payload: `Tom` }

// Instead of action creation, dispatch it to the `defaultStore`
// Similar as `defaultStore.dispatch(inputAtom.change(`Tom`))`
inputAtom.change.dispatch(`Tom`)
// Action creators from `createAtom` includes it's owner atom
// and always processed by it
greetingAtom.getState()
// -> `Hello, Tom!`

// Equal to `defaultStore.subscribe(greetingAtom, () => ...)`
greetingAtom.subscribe((greeting) => console.log(greeting))
// -> `Hello, Tom!`

inputAtom.change.dispatch(`Tom`)
// Nothing happen coz the state is not changed

inputAtom.change.dispatch(`Bob`)
// -> `Hello, Bob!`

As you may see, Reatom flow looks like Redux flow, but reducers and selectors are unified to atoms, which allows you to describe data receiving naturally as in MobX. Also atoms have an API for handling side-effects declaratively, but flexible, see below.

Example above is a basic and don’t show all cool features of Reatom. See API section or Guides to learn more about how to solve your tasks fastly and efficiently.

Timer example

import { createAtom } from '@reatom/core-v2'

type TimerCtx = { intervalId?: number | NodeJS.Timer | any }

/** Timer update interval */
export const intervalAtom = createAtom(
  { setSeconds: (seconds: number) => seconds },
  ({ onAction }, state = 1000) => {
    onAction(`setSeconds`, (seconds) => (state = seconds * 1000))
    return state
  },
)

export const timerAtom = createAtom(
  {
    interval: intervalAtom,
    start: (delayInSeconds: number) => delayInSeconds,
    stop: () => {},
    // Action mappers which name starts with underscore
    // is not allowed as action creators by atom static properties
    // and may be used only as part of internal logic
    _update: (remains: number) => remains,
  },
  ({ create, get, onAction, onChange, schedule }, state = 0) => {
    const interval = get(`interval`)

    function start(delay: number) {
      const start = Date.now()

      schedule((dispatch, ctx: TimerCtx) => {
        clearInterval(ctx.intervalId)

        ctx.intervalId = setInterval(() => {
          const passed = Date.now() - start
          const remains = delay - passed

          if (remains <= interval) {
            clearInterval(ctx.intervalId)
            ctx.intervalId = setTimeout(
              () => dispatch(create(`_update`, 0)),
              remains,
            )
          }

          dispatch(create(`_update`, remains))
        }, interval)
      })
    }

    onAction(`stop`, () => {
      state = 0

      schedule((dispatch, ctx: TimerCtx) => clearInterval(ctx.intervalId))
    })

    onAction(`start`, (delaysInSeconds) => start(delaysInSeconds * 1000))

    onChange(`interval`, () => {
      if (state !== 0) start(state)
    })

    onAction(`_update`, (remains) => (state = remains))

    return state
  },
)

Async resource example

SSR Next.js example

stackblitz↗

The huge benefit of Reatom that you can await all async calls inside schedule, which allow you to write any kind of busines logic separated from react components.

But be aware, React doesn’t call useEffect on server, so you should dispatch all async actions manually, (in getServerSideProps for Next.js Do not mix side effects management between React and Reatom, it is a bad practice.

Primitives

Primitives are a pack of helpers around primitive data structures, which helps you to reduce boilerplate. It’s not included in 2kb main bundle, but it’s tiny by itself and will not be included into your application bundle until you will not import it.

Available primitives: createBooleanAtom, createEnumAtom, createMapAtom, createNumberAtom, createStringAtom, createSetAtom (createArrayAtom will be added soon).

import { createBooleanAtom } from '@reatom/core-v2/primitives'

export const isModelOpenAtom = createBooleanAtom(false, 'isModelOpen')

// Available action creators:
isModelOpenAtom.toggle()
// -> { payload: null, type: 'isModelOpen - toggle' }
isModelOpenAtom.setTrue()
// -> { payload: null, type: 'isModelOpen - setTrue' }
isModelOpenAtom.setFalse()
// -> { payload: null, type: 'isModelOpen - setFalse' }
isModelOpenAtom.change((state) => !state)
// -> { payload: Function, type: 'isModelOpen - change' }

A string atom is useful to describe an enum.

import { createStringAtom } from '@reatom/core-v2/primitives'

export type Statuses = 'init' | 'loading' | 'loaded' | 'error'

export const statusAtom = createStringAtom<Statuses>('init')

But a better way is use the createEnumAtom.

import { createEnumAtom } from '@reatom/core-v2/primitives'

const githubRepoSortFilterAtom = createEnumAtom(
  ['full_name', 'created', 'updated', 'pushed'],
  { format: 'snake_case' },
)

console.log(sortFilterAtom.getState())
// -> 'full_name'

sortFilterAtom.set_updated.dispatch()

console.log(sortFilterAtom.getState())
// -> 'updated'

/* OR use default `camelCase` format */

const statusesAtom = createEnumAtom(['init', 'loading', 'loaded', 'error'])

console.log(statusesAtom.getState())
// -> 'init'

statusesAtom.setLoading.dispatch()

console.log(statusesAtom.getState())
// -> 'loading'

Every enum atom includes enum property with object of the variants.

export const STATUSES = statusesAtom.enum
// ...
statusesAtom.subscribe((status) => {
  if (status === STATUSES.error) {
    log('Error happen')
  }
})

Write you own atom creator

createAtom is a main public API you need to describe simple and complex logic of your application, it already includes a few features and optimizations which will be enough for most programming tasks. Anyway in a rare cases of regular development or if you a library / package author you may need a low level API to build something more flexible or complex. Fortunately we spend a lot of time to improve Reatom basic API and to made it simple, but powerful.

An atom is a simple reducer like function which accepts a transaction context and an optional cache object with state data and a few meta fields and returns new immutable version of the cache.

export type Atom<State = any> = {
  (transaction: Transaction, cache?: CacheTemplate<State>): Cache<State>
  id: string
  types: Array<Action['type']>
}

Atom should have unique field id for it identification (helps with debugging and tooling). Also atom should have types field with a list of all dependencies types which need to optimize dispatch behavior and archive granular updates at a single global store.

Transaction is a context which includes list of actions and two functions: process (calls and memoizes dependency atom) and schedule (schedules effect to the end of success atom’s computations).

Cache is an immutable data of an atom which includes state, actual dependencies and other meta (check typings).

API

createAtom API

createAtom accepts three argument: dependencies, reducer function and optional options

createAtom API dependencies

At the first argument of createAtom you may describe three kind of entities: other atoms, payload mappers for bind action creators and other action creators.

import { createAtom } from '@reatom/core-v2'
import { createStringAtom } from '@reatom/core-v2/primitives'

const emailAtom = createStringAtom()
const passwordAtom = createStringAtom()

const formAtom = createAtom(
  {
    emailAtom,
    passwordAtom,
    onEmailChange: emailAtom.change,
    submit: () => {},
    _fetch: (email, password) => ({ email, password }),
  },
  reducer,
  options,
)

If payload mapper name starts with underscore it would not be available as an atom property, only in reducer. formAtom.submit is action creator function. formAtom._fetch is undefined.

The second argument of createAtom is a reducer function which accepts the track collection and optional state, which changes immutably and returns from the reducer.

track collections is a set of helpers to process and subscribe to dependencies, it includes:

get - read and subscribe dependency atom value. It’s not subscribing inside onAction \ onChange, just gives you an ability to read it. If you describe an atom in dependencies, but now using it by get, the reducer function will not rerun to it’s changes.
onAction - react to dependency action.
onChange - react to dependency atom’s state changes.
schedule - schedule side effect. The only way to receive dispatch for set effect result.
create - call payload mapper from dependencies and create action object.
onInit - react only on first reducer call.
getUnlistedState - read atom’s state outside dependencies and not subscribe to it.

const formAtom = createAtom(
  {
    emailAtom,
    passwordAtom,
    onEmailChange: emailAtom.change,
    submit: () => {},
    _fetch: (email, password) => ({ email, password }),
  },
  (track, state = { isLoading: false, error: null as null | string }) => {
    track.onAction('onEmailChange', (email) => {
      // Here `email === track.get('emailAtom')`
    })

    track.onChange('passwordAtom', (password, prevPassword) => {
      // TODO: validate password
    })

    track.onAction('submit', () => {
      const email = track.get('emailAtom')
      const password = track.get('passwordAtom')

      schedule((dispatch) =>
        dispatch(
          // ERROR here: `Outdated track call`
          // you should't call `track.get` async
          // (scheduled callback calls async after all atoms)
          // (use `email` and `password` variables instead)
          track.create(
            '_fetch',
            track.get('emailAtom'),
            track.get('passwordAtom'),
          ),
        ),
      )
    })

    return state
  },
  options,
)

Outdated track call is throwed when you try to use reactive handlers outside synchronous reducer call. For example, schedule is called only after all atoms recalculation.

The third argument options allows you to override the default atom settings:

id - setup id for this atom
decorators - array of (atom decorators)[#atom-decorators]
store - redefine store bindings for dispatch, getState and subscribe of this atom (by default defaultStore using)

Atom decorators

TODO: Add example

Internal architecture

Store architecture

Single global store

When state managers came to web development it improved an application architecture and debugging, one-directional dataflow is more obvious and predictable. But race conditions, cyclic dependencies, and glitches were shooting themselves in the legs sometimes. Redux has fixed it with immutable data (with DAG limitations) and single global store, but came with performance limitations. Reatom trying to improve redux and to make a little step forward in state management generally. Basically, Reatom is two queues event emitter with actions instead of events.

Action VS Event

One of the biggest feature and goal of the Reatom is atomicity↗ guarantees for processed state (from atoms). It is achieved by separating calculations for two consecutive stages: pure computations and side-effects. If first stage (pure computations) throws an error, accumulated patch from touched atoms will be ignored, state will be not changed and the second stage (side-effects calls) will be not processed. It is the difference between events and actions: event is statement of happened fact, but action is intention to do something (for example, to change state) so we may react to it only after it (state changed) happened.

Actions tracking and normalization

Each atom have a list of all dependencies action types which used to match a dispatch and related atoms. As we focus only on types, which are a leafs of atoms graph, we do not need bidirectional atoms links, what give to us an unidirectional graph of atoms relationship, which totally immutable and friendly to some processing and debugging.

Lazy branches

In createAtom you may use native language mechanic for branching your data flow: if/else statement or ternary operator right in place of your reactive data receiving (a get function), Reatom do smart dynamical tracking of all dependencies and subscribing / unsubscribing only when it needed.

Goals

Experiments

We want to grow a huge ecosystem around Reatom and make it qualitative. We are accepting PRs with new utilities, no matter how huge or small they are, but the good way to test the API and stability of the new package is to try it at a demo mode first. For thats purposes and for prevent holding a name of subpackage by unfinished utilities we recommend you to add new utilities in experiments folder of the domain package. Feel free to make breaking changes in this code, but try to finish your experiment faster and publish it as a subpackage.

This approach increase domain package size in node_modules when you install it, but it’s 100% treeshakable, so it looks a good way.

FAQ

Why you recommend to mutate `state` variable in `createAtom` reducers?

There is no sense to write all code with immutable principles, Clojure docs↗ describes it better. If you still woried about this you may use additional mutable variable.

const counterAtom = createAtom({ inc: () => {} }, ({ onAction }, state = 0) => {
  let newState = state

  onAction('inc', () => {
    newState++
  })

  return newState
})

Important note. Feel free to mutate variable, not a value. Reducer functions should not mutate any input values.

const counterAtom = createAtom(
  { inc: () => {} },
  ({ onAction }, state = { count: 0 }) => {
    // WRONG
    onAction('inc', () => {
      state.count++
    })
    // Right
    onAction('inc', () => {
      state = { count: state.count + 1 }
    })

    return state
  },
)

How to handle one action in a few atoms?

Probably you should not to do this, try to use (batch)[#Batch] instead.

const handleSubmit = () => {
  return [formAtom.clear(), routerAtom.go('/')]
}
// ...
dispatch(handleSubmit())

Why Store have no `getState` method, similar to Redux?

Each Store have it’s own WeakMap for atoms cache storing. The WeakMap have no API to iterate over stored data, so we just can not read it. We can only iterate and read data from atoms with active listeners, but it may be not enough, and result may be unpredictable in a different time of application runtime. Also, in practice, we do not need all state snapshot, only it’s critical parts. So the better way is to wrap each needed atom with something like persist helper.