Awesome
Raj Compose
Program composition for Raj
npm install raj-compose
The raj-compose
package contains utilities to reduce the boilerplate of
building up large applications from small programs.
Documentation
The package contains the following utilities:
mapEffect(effect, callback)
batchEffects(effects)
mapProgram(program, callback)
batchPrograms(programs, containerView)
assembleProgram({ data, view, logic, deps, options })
mapEffect
mapEffect(effect: function?, callback(any): any): function?
The mapEffect
function "lifts" a given effect
so that callback
transforms
each message produced by that effect before dispatch.
The mapEffect
function accepts a effect
function or a falsy value and a
callback
function.
If the effect
is truthy but not a function, an error will throw.
If the callback
is not a function, an error will throw.
The mapEffect
returns either the falsy effect
value or a new effect function.
Example
We want to distinguish the messages dispatched by an effect.
We use mapEffect
to wrap each message in an "important" wrapper.
import assert from 'assert'
import { mapEffect } from 'raj-compose'
const effect = dispatch => {
dispatch('Hello')
dispatch('World')
}
const importantEffect = mapEffect(effect, message => ({
type: 'important',
value: message
}))
const messages = []
importantEffect(message => {
messages.push(message)
})
assert.deepEqual(messages, [
{ type: 'important', value: 'Hello' },
{ type: 'important', value: 'World' }
])
batchEffects
batchEffects(effects: Array<function?>): function
The batchEffects
function takes an array of effects
and returns a new
function which will call each effect.
If an effect is truthy but not a function, an error will throw.
Example
We have two effects we want to run together.
We use batchEffects
to combine them into a single effect.
import assert from 'assert'
import { batchEffects } from 'raj-compose'
const one = dispatch => dispatch('Hello')
const two = dispatch => dispatch('World')
const all = batchEffects([one, two])
const messages = []
all(message => {
messages.push(message)
})
assert.deepEqual(messages, [
'Hello',
'World'
])
mapProgram
mapProgram(program: RajProgram, callback): RajProgram
Like mapEffect
, mapProgram
"lifts" all messages from program
with the callback
function and returns a new program.
If program
is not shaped like a Raj program, an error will throw.
If callback
is not a function, an error will throw.
The mapProgram
function:
- transforms the
program.init
optional effect messages withcallback
- transforms each
program.update()
optional effect messages withcallback
- transforms each
program.view()
dispatched message withcallback
This function encapsulates all program messages for its parent program to pass down to the child.
The new program's update()
parameters are the same as the original's.
The view()
state
is the child program's state and dispatch
is the parent's dispatch function.
batchPrograms
batchPrograms(programs: Array<RajProgram>, containerView: function): RajProgram
The batchPrograms
function takes an array of programs
and a containerView
function and creates a new program which manages those child programs.
If any item in the programs
array is not a program, an error will throw.
If containerView
is not a function, an error will throw.
The containerView
receives an array of functions which return views for each respective program.
Example
We have a main view and a sidebar view that we would like to display at the same time. We are using React as our view layer so we are using JSX to describe our HTML. We use the batchPrograms
to unite the two programs in the same app view.
import React from 'react'
import { batchPrograms } from 'raj-compose'
import mainProgram from './main'
import sidebarProgram from './sidebar'
export default batchPrograms(
[mainProgram, sidebarProgram],
([mainView, sideView]) => (
<div id='app'>
<div id='side'>{sideView()}</div>
<div id='main'>{mainView()}</div>
</div>
)
)
assembleProgram
assembleProgram({data, view, logic, dataOptions, viewOptions, logicOptions}): RajProgram
The assembleProgram
function takes three functions:
data(dataOptions)
view(model, dispatch, viewOptions)
logic(data(dataOptions), logicOptions)
The dataOptions
, viewOptions
, logicOptions
, and return value of data
can be anything that makes sense to the program.
This will return a program where logic()
would return an object containing {init, update, done, ...}
properties that merge in with view
.
This function is good for separating the concerns common to most programs: data-fetching, views, and business logic. The assemble pattern is useful as each function can be tested in isolation. Structuring programs in this manner is recommended when data-fetching is involved.
import { assembleProgram } from 'raj-compose'
export const data = ({ httpClient }) => ({
getPosts (dispatch) {
httpClient.get('/posts')
.then(data => dispatch({ data }))
.catch(error => dispatch({ error }))
}
})
export function view (model, dispatch, options) {
// show a list of posts
}
export function logic (data, options) {
const init = [
{
posts: [],
loadError: null
},
data.getPosts
]
function update (msg, model) {
if (msg.error) {
return [{ ...model, loadError: model.error }]
} else {
return [{ ...model, posts: msg.data.posts }]
}
}
return { init, update }
}
export function makeProgram (httpClient) {
return assembleProgram({
data,
view,
logic,
dataOptions: { httpClient }
})
}