asyncmachine
v3.4.1
Published
Hybrid State Machine
Downloads
21
Maintainers
Readme
AsyncMachine is a relational state machine made for declarative flow control. It supports multiple states simultaneously, executes methods based on a dependency graph and provides an event emitter.
It allows for easy:
- state management
- parallel tasks
- loose coupling
- resource allocation / disposal
- exception handling
- fault tolerance
- method cancellation
It supports forming a network of state machines and can also be used as a simple state management library. Gzipped code is 7.5kb.
Install
npm i asyncmachine
Documentation
- AsyncMachine - The Definitive Guide (wiki) PDF version (25 pages, 1.5mb)
- API docs (TypeScript)
- Roadmap
Components:
- states
- transitions
- relations
- clocks
- pipes
- queues
Features:
- synchronous mutations
- negotiation
- cancellation
- automatic states
- exception handling
- visual inspector / debugger
Examples
Dry Wet
This basic examples makes use of: states
, transitions
, relations
and synchronous mutations
.
import { machine } from 'asyncmachine'
// define
const state = {
Wet: { require: ['Water'] },
Dry: { drop: ['Wet'] },
Water: { add: ['Wet'], drop: ['Dry'] }
}
// initialize
const example = machine(state)
// make changes
example.add('Dry')
example.add('Water')
// check the state
example.is() // -> [ 'Wet', 'Water' ]
Negotiation
Presents how the state negotiation
works.
Async Dialog
Presents the following concepts: automatic states
, synchronous mutations
, delayed mutations
and loose coupling.
Exception State
A simple fault tolerance (retrying) using the Exception
state.
Piping
Shows how pipes
forward states between machines.
Transitions
Shows various types of transition handlers
and the way params get passed to them.
TodoMVC and React
Classic TodoMCV example using AsyncMachine as the controller and React as the view.
State streams with RxJS
Observe state changes and navigate through specific paths with RxJS, then feed the result back as a state.
- Comming soon!
Restaurant
A complex example showing how to solve the producer / consumer problem using AsyncMachine.
GTD Bot
For a real world example check GTD Bot - a sync engine for Google APIs.
Use cases
- state management
- synchronizing async actions
- solving non-linear problems
- fault tolerance
- resource allocation / disposal
- avoiding race conditions
- thread pools
- sync engines
License
MIT