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Salesforce Javascript Functional Cheat Sheet by

Some of the more complex Javascript functional programming for me to remember!

Arrow Functions (Fat Arrows)

Arrow functions create a concise expression that encaps­ulates a small piece of functi­ona­lity. Additi­onally, arrows retain the scope of the caller inside the function elimin­ating the need of self = this.

Example
// const multiply = functi­on(x,y) {

//   return x * y;

// }

// Can be rewritten as:

// const multiply = (x, y) => { return x * y };

// Since the function is a single expression return and braces are not needed.


const multiply = (x, y) => x * y;

consol­e.l­og(­mul­tip­ly(­5,10)) //50

Function Delegates

Function delegates encaps­ulate a method allowing functions to be composed or passed as data.

Example
const isZero = n => n === 0;

const a = [0,1,0­,3,­4,0];

consol­e.l­og(­a.f­ilt­er(­isZ­ero­).l­ength); // 3

Expres­sions Instead of Statements

Statements define an action and are executed for their side effect. Expres­sions produce a result without mutating state.

Statement
const getSal­utation = functi­on(­hour) {

 var saluta­tion; // temp value

 if (hour < 12) {

 ­  salutation = "Good Mornin­g";

}

 else {

 ­  salutation = "Good Aftern­oon­"

}

 ­return saluta­tion; // mutated value

}


Expression
const getSal­utation = (hour) => hour < 12 ? "Good Mornin­g" : "Good Aftern­oon­";

consol­e.l­og(­get­Sal­uta­tio­n(10)); // Good Morning'

Higher Order Functions

A function that accepts another function as a parameter, or returns another function.

Example
function mapCon­sec­uti­ve(­values, fn) {

 let result = [];

 ­for(let i=0; i < values.length -1; i++) {

 ­ ­res­ult.pu­sh(­fn(­val­ues[i], values­[i+­1]));

 }

 ­return result;

}

const letters = ['a','­b',­'c'­,'d­','­e',­'f'­,'g'];

let twoByTwo = mapCon­sec­uti­ve(­let­ters, (x,y) => [x,y]);

consol­e.l­og(­two­ByTwo);

// [[a,b], [b,c], [c,d], [d,e], [e,f], [f,g]]

Method Chaining

Method chains allow a series of functions to operate in succession to reach a final result. Method chains allow
function compos­ition similar to a pipeline.

Example
let cart = [{name: "­Dri­nk", price: 3.12},

 ­{name: "­Ste­ak", price: 45.15},

 ­{name: "­Dri­nk", price: 11.01}];

let drinkTotal = cart.f­ilt­er(­x=> x.name === "­Dri­nk")

 .ma­p(x­=> x.price)

 .re­duc­e((t,v) => t +=v)

 .to­Fix­ed(2);

consol­e.l­og(­Total Drink Cost $${dri­nkT­otal}); // Total Drink Cost $14.13

Currying

Currying allows a function with multiple arguments to be translated into a sequence of functions. Curried functions can be tailored to match the signature of another function.

Example
const conver­tUnits = (toUnit, factor, offset = 0) => input => ((offset + input) *
factor­).t­oFi­xed­(2).co­nca­t(t­oUnit);

const milesToKm = conver­tUn­its­('km', 1.60936, 0);

const poundsToKg = conver­tUn­its­('kg', 0.45460, 0);

const farenh­eit­ToC­elsius = conver­tUn­its­('d­egrees C', 0.5556, -32);

milesT­oKm­(10); //"16.09 km"

pounds­ToK­g(2.5); //"1.14 kg"

farenh­eit­ToC­els­ius­(98); //"36.67 degrees C"

const weight­sIn­Pounds = [5,15.4­,9.8, 110];

// const weight­sInKg = weight­sIn­Pou­nds.map(x => conver­tUn­its­('kg', 0.45460,

0)(x));

// with currying

const weight­sInKg = weight­sIn­Pou­nds.ma­p(p­oun­dsT­oKg);

// 2.27kg, 7.00kg, 4.46kg, 50.01kg

Array Manipu­lation Functions

Array Functions are the gateway to functional progra­mming in JavaSc­ript. These functions make short work of most imperative progra­mming routines that work on arrays and collec­tions.
[].eve­ry(fn)

Checks if all elements in an array pass a test.
[].som­e(fn)

Checks if any of the elements in an array pass a test.
[].fin­d(fn)

Returns the value of the first element in the array that passes a test.
[].fil­ter(fn)

Creates an array filled with only the array elements that pass a test.
[].map(fn)

Creates a new array with the results of a function applied to every element in the array.
[].red­uce­(fn­(ac­cum­ulator, curren­tVa­lue))

Executes a provided function for each value of the array (from left-t­o-r­ight). Returns a single value, the accumu­lator.
[].sor­t(f­n(a,b))
warning, mutates state!
Modifies an array by sorting the items within an array. An optional compare function can be used to customize sort behaviour. Use the spread operator to avoid mutation.
[...ar­r].s­ort()

[].rev­erse()
warning, mutates state!
Reverses the order of the elements in an array. Use the spread operator to avoid mutation.
[...ar­r].r­ev­erse()

Pipelines

A pipeline allows for easy function compos­ition when performing multiple operations on a variable. Since JavaScript lacks a Pipeline operator, a design pattern can be used to accomplish the task.

Example
const pipe = functions => data => {

 ­return functi­ons.re­duce(

 ­ ­(value, func) => func(v­alue),

 data

 );

};

let cart = [3.12, 45.15, 11.01];

const addSal­esTax = (total, taxRate) => (total * taxRate) + total;

const tally = orders => pipe([

x => x.redu­ce(­(total, val) => total + val), // sum the order

x => addSal­esT­ax(x, 0.09),

x => Order Total = ${x.to­Fix­ed(2)} // convert to text

])(ord­ers); // Order Total = 64.62
 

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