You Don't Know JS, this and Object Prototypes (2014)
Chapter 6. Behavior Delegation
In Chapter 5, we addressed the [[Prototype]] mechanism in detail, and why it’s confusing and inappropriate (despite countless attempts for nearly two decades) to describe it in the context of “class” or “inheritance.” We trudged through not only the fairly verbose syntax (.prototypelittering the code), but the various gotchas (like surprising .constructor resolution or ugly pseudopolymorphic syntax). We explored variations of the “mixin” approach, which many people use to attempt to smooth over such rough areas.
It’s a common reaction at this point to wonder why it has to be so complex to do something seemingly so simple. Now that we’ve pulled back the curtain and seen just how dirty it all gets, it’s not a surprise that most JS developers never dive this deep, and instead relegate such mess to a “class” library to handle it for them.
I hope by now you’re not content to just gloss over and leave such details to a “black box” library. Let’s now dig into how we could and should be thinking about the object [[Prototype]] mechanism in JS, in a much simpler and more straightforward way than the confusion of classes.
As a brief review of our conclusions from Chapter 5, the [[Prototype]] mechanism is an internal link that exists on one object that references another object.
This linkage is exercised when a property/method reference is made against the first object, and no such property/method exists. In that case, the [[Prototype]] linkage tells the engine to look for the property/method on the linked-to object. In turn, if that object cannot fulfill the lookup, its[[Prototype]] is followed, and so on. This series of links between objects forms what is called the “prototype chain.”
In other words, the actual mechanism, the essence of what’s important to the functionality we can leverage in JavaScript, is all about objects being linked to other objects.
That single observation is fundamental and critical to understanding the motivations and approaches for the rest of this chapter!
Toward Delegation-Oriented Design
To properly focus our thoughts on how to use [[Prototype]] in the most straightforward way, we must recognize that it represents a fundamentally different design pattern from classes (see Chapter 4).
NOTE
Some principles of class-oriented design are still very valid, so don’t toss out everything you know (just most of it!). For example, encapsulation is quite powerful, and is compatible (though not as common) with delegation.
We need to try to change our thinking from the class/inheritance design pattern to the behavior delegation design pattern. If you have done most or all of your programming in your education/career thinking in classes, this may be uncomfortable or feel unnatural. You may need to try this mental exercise quite a few times to get the hang of this very different way of thinking.
I’m going to walk you through some theoretical exercises first, then we’ll look side by side at a more concrete example to give you practical context for your own code.
Class Theory
Let’s say we have several similar tasks (“XYZ,” “ABC,” etc.) that we need to model in our software.
With classes, the way you design the scenario is as follows: define a general parent (base) class like Task, defining shared behavior for all the “alike” tasks. Then, you define child classes XYZ and ABC, both of which inherit from Task, and each of which adds specialized behavior to handle its respective task.
Importantly, the class design pattern encourages you to employ method overriding (and polymorphism) to get the most out of inheritance, where you override the definition of some general Task method in your XYZ task, perhaps even making use of super to call to the base version of that method while adding more behavior to it. You’ll likely find quite a few places where you can “abstract” out general behavior to the parent class and specialize (override) it in your child classes.
Here’s some loose pseudocode for that scenario:
class Task {
id;
// constructor `Task()`
Task(ID) { id = ID; }
outputTask() { output( id ); }
}
class XYZ inherits Task {
label;
// constructor `XYZ()`
XYZ(ID,Label) { super( ID ); label = Label; }
outputTask() { super(); output( label ); }
}
class ABC inherits Task {
// ...
}
Now, you can instantiate one or more copies of the XYZ child class, and use those instance(s) to perform task “XYZ.” These instances have copies both of the general Task defined behavior as well as the specific XYZ defined behavior. Likewise, instances of the ABC class would have copies of the Task behavior and the specific ABC behavior. After construction, you will generally only interact with these instances (and not the classes), as the instances each have copies of all the behavior you need to do the intended task.
Delegation Theory
But now let’s try to think about the same problem domain, using behavior delegation instead of classes.
You will first define an object (not a class, nor a function as most JSers would lead you to believe) called Task, and it will have concrete behavior on it that includes utility methods that various tasks can use (read: delegate to!). Then, for each task (“XYZ,” “ABC”), you define an object to hold that task-specific data/behavior. You link your task-specific object(s) to the Task utility object, allowing them to delegate to it when they need to.
Basically, think about needing behaviors from two sibling/peer objects (XYZ and Task) to perform task “XYZ.” But rather than needing to compose them together, via class copies, we can keep them in their separate objects, and we can allow the XYZ object to delegate to Task when needed.
Here’s some simple code to suggest how you accomplish that:
Task = {
setID: function(ID) { this.id = ID; },
outputID: function() { console.log( this.id ); }
};
// make `XYZ` delegate to `Task`
XYZ = Object.create( Task );
XYZ.prepareTask = function(ID,Label) {
this.setID( ID );
this.label = Label;
};
XYZ.outputTaskDetails = function() {
this.outputID();
console.log( this.label );
};
// ABC = Object.create( Task );
// ABC ... = ...
In this code, Task and XYZ are not classes (or functions), they’re just objects. XYZ is set up via Object.create(..) to [[Prototype]]-delegate to the Task object (see Chapter 5).
As compared to class orientation (aka object orientation), I call this style of code OLOO (objects linked to other objects). All we really care about is that the XYZ object delegates to the Task object (as does the ABC object).
In JavaScript, the [[Prototype]] mechanism links objects to other objects. There are no abstract mechanisms like “classes,” no matter how much you try to convince yourself otherwise. It’s like paddling a canoe upstream: you can do it, but you’re choosing to go against the natural current, so it’s obviously going to be harder to get where you’re going.
Some other differences to note with OLOO-style code:
1. Both the id and label data members from the previous class example are data properties directly on XYZ (neither is on Task). In general, with [[Prototype]] delegation, you want state to be on the delegators (XYZ, ABC), not on the delegate (Task).
2. With the class design pattern, we intentionally named outputTask the same on both parent (Task) and child (XYZ), so that we could take advantage of overriding (polymorphism). In behavior delegation, we do the opposite: we avoid if at all possible naming things the same at different levels of the [[Prototype]] chain (called shadowing—see Chapter 5), because having those name collisions creates awkward/brittle syntax to disambiguate references (see Chapter 4), and we want to avoid that if we can.
This design pattern calls for less use of general method names that are prone to overriding and instead more use of descriptive method names, specific to the type of behavior each object is doing. This can actually create easier to understand/maintain code, because the names of methods (not only at the definition location but strewn throughout other code) are more obvious (self-documenting).
3. this.setID(ID); inside of a method on the XYZ object first looks on XYZ for setID(..), but since it doesn’t find a method of that name on XYZ, [[Prototype]] delegation means it can follow the link to Task to look for setID(..), which it of course finds. Moreover, because of implicit call-site this binding rules (see Chapter 2), when setID(..) runs, even though the method was found on Task, the this binding for that function call is XYZ, exactly as we’d expect and want. We see the same thing with this.outputID() later in the code listing.
In other words, the general utility methods that exist on Task are available to us while interacting with XYZ, because XYZ can delegate to Task.
Behavior delegation means to let some object (XYZ) provide a delegation (to Task) for property or method references if they are not found on the object (XYZ).
This is an extremely powerful design pattern, very distinct from the ideas of parent and child classes, inheritance, polymorphism, etc. Rather than organizing the objects in your mind vertically, with parents flowing down to children, think of objects side by side, as peers, with any direction of delegation links between the objects as necessary.
NOTE
Delegation is more properly used as an internal implementation detail rather than exposed directly in the API interface design. In the previous example, we don’t necessarily intend with our API design for developers to call XYZ.setID() (though we can, of course!). We sorta hide the delegation as an internal detail of our API, where XYZ.prepareTask(..) delegates toTask.setID(..). See Links as Fallbacks? in Chapter 5 for more detail.
Mutual delegation (disallowed)
You cannot create a cycle where two or more objects are mutually delegated (bidirectionally) to each other. If you link B to A, and then try to link A to B, you will get an error.
It’s a shame (not terribly surprising, but mildly annoying) that this is disallowed. If you made a reference to a property/method that didn’t exist in either place, you’d have an infinite recursion on the [[Prototype]] loop. But if all references were strictly present, then B could delegate to A, and vice versa, and it could work. This would mean you could use either object to delegate to the other, for various tasks. There are a few niche use cases where this might be helpful.
But it’s disallowed because engine implementors have observed that it’s more performant to check for (and reject!) the infinite circular reference once at set-time rather than needing to have the performance hit of that guard check every time you look up a property on an object.
Debugged
We’ll briefly cover a subtle detail that can be confusing to developers. In general, the JS specification does not control how browser developer tools should represent specific values/structures to a developer, so each browser/engine is free to interpret such things as it sees fit. As such, browsers/tools don’t always agree. Specifically, the behavior we will now examine is currently observed only in Chrome’s Developer Tools.
Consider this traditional “class constructor” style JS code, as it would appear in the console of Chrome Developer Tools:
function Foo() {}
var a1 = new Foo();
a1; // Foo {}
Let’s look at the last line of that snippet: the output of evaluating the a1 expression, which prints Foo {}. If you try this same code in Firefox, you will likely see Object {}. Why the difference? What do these outputs mean?
Chrome is essentially saying “{} is an empty object that was constructed by a function with name Foo.” Firefox is saying “{} is an empty object of general construction from Object.” The subtle difference is that Chrome is actively tracking, as an internal property, the name of the actual function that did the construction, whereas other browsers don’t track that additional information.
It would be tempting to attempt to explain this with JavaScript mechanisms:
function Foo() {}
var a1 = new Foo();
a1.constructor; // Foo(){}
a1.constructor.name; // "Foo"
So, is that how Chrome is outputting Foo, by simply examining the object’s .constructor.name? Confusingly, the answer is both yes and no.
Consider this code:
function Foo() {}
var a1 = new Foo();
Foo.prototype.constructor = function Gotcha(){};
a1.constructor; // Gotcha(){}
a1.constructor.name; // "Gotcha"
a1; // Foo {}
Even though we change a1.constructor.name to legitimately be something else (Gotcha), Chrome’s console still uses the Foo name.
So, it would appear the answer to previous question (does it use .constructor.name?) is no; it must track it somewhere else, internally.
But not so fast! Let’s see how this kind of behavior works with OLOO-style code:
var Foo = {};
var a1 = Object.create( Foo );
a1; // Object {}
Object.defineProperty( Foo, "constructor", {
enumerable: false,
value: function Gotcha(){}
});
a1; // Gotcha {}
Ah-ha! Gotcha! Here, Chrome’s console did find and use the .constructor.name. Actually, while writing this book, this exact behavior was identified as a bug in Chrome, and by the time you’re reading this, it may have already been fixed. So you may instead have seen the corrected a1; // Object {}.
Aside from that bug, the internal tracking (apparently only for debug output purposes) of the “constructor name” that Chrome does (shown in the earlier snippets) is an intentional Chrome-only extension of behavior beyond what the JS specification calls for.
If you don’t use a “constructor” to make your objects, as we’ve discouraged with OLOO-style code here in this chapter, then you’ll get objects that Chrome does not track an internal “constructor name” for, and such objects will correctly only be outputted as Object {}, meaning “object generated from Object() construction.”
Don’t think this represents a drawback of OLOO-style coding. When you code with OLOO and behavior delegation as your design pattern, who “constructed” (that is, which function was called with new?) some object is an irrelevant detail. Chrome’s specific internal “constructor name” tracking is really only useful if you’re fully embracing class-style coding, but is moot if you’re instead embracing OLOO delegation.
Mental Models Compared
Now that you can see a difference between “class” and “delegation” design patterns, at least theoretically, let’s see the implications these design patterns have on the mental models we use to reason about our code.
We’ll examine some more theoretical (Foo, Bar) code, and compare both ways (OO versus OLOO) of implementing the code. The first snippet uses the classical (“prototypal”) OO style:
function Foo(who) {
this.me = who;
}
Foo.prototype.identify = function() {
return "I am " + this.me;
};
function Bar(who) {
Foo.call( this, who );
}
Bar.prototype = Object.create( Foo.prototype );
Bar.prototype.speak = function() {
alert( "Hello, " + this.identify() + "." );
};
var b1 = new Bar( "b1" );
var b2 = new Bar( "b2" );
b1.speak();
b2.speak();
Parent class Foo is inherited by child class Bar, which is then instantiated twice as b1 and b2. What we have is b1 delegating to Bar.prototype, which delegates to Foo.prototype. This should look fairly familiar to you, at this point. Nothing too groundbreaking going on.
Now, let’s implement the exact same functionality using OLOO-style code:
Foo = {
init: function(who) {
this.me = who;
},
identify: function() {
return "I am " + this.me;
}
};
Bar = Object.create( Foo );
Bar.speak = function() {
alert( "Hello, " + this.identify() + "." );
};
var b1 = Object.create( Bar );
b1.init( "b1" );
var b2 = Object.create( Bar );
b2.init( "b2" );
b1.speak();
b2.speak();
We take exactly the same advantage of [[Prototype]] delegation from b1 to Bar to Foo as we did in the previous snippet between b1, Bar.prototype, and Foo.prototype. We still have the same three objects linked together.
But, importantly, we’ve greatly simplified all the other stuff going on, because now we just set up objects linked to each other, without needing all the cruft and confusion of things that look (but don’t behave!) like classes, with constructors and prototypes and new calls.
Ask yourself: if I can get the same functionality with OLOO-style code as I do with class-style code, but OLOO is simpler and has less things to think about, isn’t OLOO better?
Let’s examine the mental models involved between these two snippets.
First, the class-style code snippet implies this mental model of entities and their relationships:
Actually, that’s a little unfair/misleading, because it’s showing a lot of extra detail that you don’t technically need to know at all times (though you do need to understand it!). One takeaway is that it’s quite a complex series of relationships. But another takeaway: if you spend the time to follow those relationship arrows around, there’s an amazing amount of internal consistency in JS’s mechanisms.
For instance, the ability of a JS function to access call(..), apply(..), and bind(..) (see Chapter 2) is because functions themselves are objects, and function-objects also have a [[Prototype]] linkage, to the Function.prototype object, which defines those default methods that any function-object can delegate to. JS can do those things, and you can too!
OK, let’s now look at a slightly simplified version of that diagram that is a little more “fair” for comparison—it shows only the relevant entities and relationships:
Still pretty complex, eh? The dotted lines are depicting the implied relationships when you set up the “inheritance” between Foo.prototype and Bar.prototype and haven’t yet fixed the missing .constructor property reference (see “Constructor” redux in Chapter 5). Even with those dotted lines removed, the mental model is still an awful lot to juggle every time you work with object linkages.
Now, let’s look at the mental model for OLOO-style code:
As you can see comparing them, it’s quite obvious that OLOO-style code has vastly less stuff to worry about, because OLOO-style code embraces the fact that the only thing we ever really cared about was the objects linked to other objects.
All the other “class” cruft was a confusing and complex way of getting the same end result. Remove that stuff, and things get much simpler (without losing any capability).
Classes Versus Objects
We’ve just seen various theoretical explorations and mental models of “classes” versus “behavior delegation.” But, let’s now look at more concrete code scenarios to show how’d you actually use these ideas.
We’ll first examine a typical scenario in frontend web dev: creating UI widgets (buttons, drop-downs, etc.).
Widget “Classes”
Because you’re probably still so used to the OO design pattern, you’ll likely immediately think of this problem domain in terms of a parent class (perhaps called Widget) with all the common base widget behavior, and then child derived classes for specific widget types (like Button).
NOTE
We’re going to use jQuery here for DOM and CSS manipulation, only because it’s a detail we don’t really care about for the purposes of our current discussion. None of this code cares which JS framework (jQuery, Dojo, YUI, etc.), if any, you might solve such mundane tasks with.
Let’s examine how we’d implement the “class” design in classic-style pure JS without any “class” helper library or syntax:
// Parent class
function Widget(width,height) {
this.width = width || 50;
this.height = height || 50;
this.$elem = null;
}
Widget.prototype.render = function($where){
if (this.$elem) {
this.$elem.css( {
width: this.width + "px",
height: this.height + "px"
} ).appendTo( $where );
}
};
// Child class
function Button(width,height,label) {
// "super" constructor call
Widget.call( this, width, height );
this.label = label || "Default";
this.$elem = $( "<button>" ).text( this.label );
}
// make `Button` "inherit" from `Widget`
Button.prototype = Object.create( Widget.prototype );
// override base "inherited" `render(..)`
Button.prototype.render = function($where) {
// "super" call
Widget.prototype.render.call( this, $where );
this.$elem.click( this.onClick.bind( this ) );
};
Button.prototype.onClick = function(evt) {
console.log( "Button '" + this.label + "' clicked!" );
};
$( document ).ready( function(){
var $body = $( document.body );
var btn1 = new Button( 125, 30, "Hello" );
var btn2 = new Button( 150, 40, "World" );
btn1.render( $body );
btn2.render( $body );
} );
OO design patterns tell us to declare a base render(..) in the parent class, then override it in our child class, not to replace it per se, but rather to augment the base functionality with button-specific behavior.
Notice the ugliness of explicit pseudopolymorphism (see Chapter 4) with Widget.call and Widget.prototype.render.call references for faking “super” calls from the child “class” methods back up to the “parent” class base methods. Yuck.
ES6 class sugar
We cover ES6 class syntax sugar in detail in Appendix A, but let’s briefly demonstrate how we’d implement the same code using class:
class Widget {
constructor(width,height) {
this.width = width || 50;
this.height = height || 50;
this.$elem = null;
}
render($where){
if (this.$elem) {
this.$elem.css( {
width: this.width + "px",
height: this.height + "px"
} ).appendTo( $where );
}
}
}
class Button extends Widget {
constructor(width,height,label) {
super( width, height );
this.label = label || "Default";
this.$elem = $( "<button>" ).text( this.label );
}
render($where) {
super( $where );
this.$elem.click( this.onClick.bind( this ) );
}
onClick(evt) {
console.log( "Button '" + this.label + "' clicked!" );
}
}
$( document ).ready( function(){
var $body = $( document.body );
var btn1 = new Button( 125, 30, "Hello" );
var btn2 = new Button( 150, 40, "World" );
btn1.render( $body );
btn2.render( $body );
} );
Undoubtedly, a number of the syntax uglies of the previous classical approach have been smoothed over with ES6’s class. The presence of a super(..) in particular seems quite nice (though when you dig into it, it’s not all roses!).
Despite syntactic improvements, these are not real classes, as they still operate on top of the [[Prototype]] mechanism. They suffer from all the same mental-model mismatches we explored in Chapters 4 and 5 and thus far in this chapter. Appendix A will expound on the ES6 classsyntax and its implications in detail. We’ll see why solving syntax hiccups doesn’t substantially solve our class confusions in JS, though it makes a valiant effort masquerading as a solution!
Whether you use the classic prototypal syntax or the new ES6 sugar, you’ve still made a choice to model the problem domain (UI widgets) with “classes.” And as the previous few chapters try to demonstrate, this choice in JavaScript is opting you into extra headaches and mental tax.
Delegating Widget Objects
Here’s our simpler Widget/Button example, using OLOO-style delegation:
var Widget = {
init: function(width,height){
this.width = width || 50;
this.height = height || 50;
this.$elem = null;
},
insert: function($where){
if (this.$elem) {
this.$elem.css( {
width: this.width + "px",
height: this.height + "px"
} ).appendTo( $where );
}
}
};
var Button = Object.create( Widget );
Button.setup = function(width,height,label){
// delegated call
this.init( width, height );
this.label = label || "Default";
this.$elem = $( "<button>" ).text( this.label );
};
Button.build = function($where) {
// delegated call
this.insert( $where );
this.$elem.click( this.onClick.bind( this ) );
};
Button.onClick = function(evt) {
console.log( "Button '" + this.label + "' clicked!" );
};
$( document ).ready( function(){
var $body = $( document.body );
var btn1 = Object.create( Button );
btn1.setup( 125, 30, "Hello" );
var btn2 = Object.create( Button );
btn2.setup( 150, 40, "World" );
btn1.build( $body );
btn2.build( $body );
} );
With this OLOO-style approach, we don’t think of Widget as a parent and Button as a child. Rather, Widget is just an object and is sort of a utility collection that any specific type of widget might want to delegate to, and Button is also just a standalone object (with a delegation link toWidget, of course!).
From a design pattern perspective, we didn’t share the same method name render(..) in both objects, the way classes suggest, but instead we chose different names (insert(..) and build(..)) that were more descriptive of what task each does specifically. The initialization methods are called init(..) and setup(..), respectively, for the same reasons.
Not only does this delegation design pattern suggest different and more descriptive names (rather than shared and more generic names), but doing so with OLOO happens to avoid the ugliness of the explicit pseudopolymorphic calls (Widget.call andWidget.prototype.render.call), as you can see by the simple, relative, delegated calls to this.init(..) and this.insert(..).
Syntactically, we also don’t have any constructors, .prototype, or new present, as they are, in fact, just unnecessary cruft.
Now, if you’re paying close attention, you may notice that what was previously just one call (var btn1 = new Button(..)) is now two calls (var btn1 = Object.create(Button) and btn1.setup(..)). Initially this may seem like a drawback (more code).
However, even this is something that’s a pro of OLOO-style code as compared to classical prototype style code. How?
With class constructors, you are forced (not really, but it is strongly suggested) to do both construction and initialization in the same step. However, there are many cases where being able to do these two steps separately (as you do with OLOO!) is more flexible.
For example, let’s say you create all your instances in a pool at the beginning of your program, but you wait to initialize them with a specific setup when they are pulled from the pool and used. We showed the two calls happening right next to each other, but of course they can happen at very different times and in very different parts of our code, as needed.
OLOO better supports the principle of separation of concerns, where creation and initialization are not necessarily conflated into the same operation.
Simpler Design
In addition to OLOO providing ostensibly simpler (and more flexible!) code, behavior delegation as a pattern can actually lead to simpler code architecture. Let’s examine one last example that illustrates how OLOO simplifies your overall design.
The scenario we’ll examine is two controller objects, one for handling the login form of a web page, and another for actually handling the authentication (communication) with the server.
We’ll need a utility helper for making the Ajax communication to the server. We’ll use jQuery (though any framework would do fine), since it handles not only the Ajax for us, but it returns a Promise-like answer so that we can listen for the response in our calling code with .then(..).
NOTE
We don’t cover Promises here, but we will cover them in a future title of this series.
Following the typical class design pattern, we’ll put the base functionality of the task in a class called Controller, and then we’ll derive two child classes, LoginController and AuthController, which both inherit from Controller and specialize some of those base behaviors:
// Parent class
function Controller() {
this.errors = [];
}
Controller.prototype.showDialog(title,msg) {
// display title & message to user in dialog
};
Controller.prototype.success = function(msg) {
this.showDialog( "Success", msg );
};
Controller.prototype.failure = function(err) {
this.errors.push( err );
this.showDialog( "Error", err );
};
// Child class
function LoginController() {
Controller.call( this );
}
// Link child class to parent
LoginController.prototype =
Object.create( Controller.prototype );
LoginController.prototype.getUser = function() {
return document.getElementById( "login_username" ).value;
};
LoginController.prototype.getPassword = function() {
return document.getElementById( "login_password" ).value;
};
LoginController.prototype.validateEntry = function(user,pw) {
user = user || this.getUser();
pw = pw || this.getPassword();
if (!(user && pw)) {
return this.failure(
"Please enter a username & password!"
);
}
else if (user.length < 5) {
return this.failure(
"Password must be 5+ characters!"
);
}
// got here? validated!
return true;
};
// Override to extend base `failure()`
LoginController.prototype.failure = function(err) {
// "super" call
Controller.prototype.failure.call(
this,
"Login invalid: " + err
);
};
// Child class
function AuthController(login) {
Controller.call( this );
// in addition to inheritance, we also need composition
this.login = login;
}
// Link child class to parent
AuthController.prototype =
Object.create( Controller.prototype );
AuthController.prototype.server = function(url,data) {
return $.ajax( {
url: url,
data: data
} );
};
AuthController.prototype.checkAuth = function() {
var user = this.login.getUser();
var pw = this.login.getPassword();
if (this.login.validateEntry( user, pw )) {
this.server( "/check-auth",{
user: user,
pw: pw
} )
.then( this.success.bind( this ) )
.fail( this.failure.bind( this ) );
}
};
// Override to extend base `success()`
AuthController.prototype.success = function() {
// "super" call
Controller.prototype.success.call( this, "Authenticated!" );
};
// Override to extend base `failure()`
AuthController.prototype.failure = function(err) {
// "super" call
Controller.prototype.failure.call(
this,
"Auth Failed: " + err
);
};
var auth = new AuthController();
auth.checkAuth(
// in addition to inheritance, we also need composition
new LoginController()
);
We have base behaviors that all controllers share, which are success(..), failure(..), and showDialog(..). Our child classes LoginController and AuthController override failure(..) and success(..) to augment the default base class behavior. Also note thatAuthController needs an instance of LoginController to interact with the login form, so that becomes a member data property.
The other thing to mention is that we chose some composition to sprinkle in on top of the inheritance. AuthController needs to know about LoginController, so we instantiate it (new LoginController()) and keep a class member property called this.login to reference it, so that AuthController can invoke behavior on LoginController.
NOTE
There might have been a slight temptation to make AuthController inherit from LoginController, or vice versa, such that we had virtual composition through the inheritance chain. But this is a clear example of what’s wrong with class inheritance as the model for the problem domain, because neither AuthController nor LoginController are specializing base behavior of the other, so inheritance between them makes little sense except if classes are your only design pattern. Instead, we layered in some simple composition and now they can cooperate, while still both benefiting from the inheritance from the parent base Controller.
If you’re familiar with class-oriented (OO) design, this should all look pretty familiar and natural.
De-class-ified
But, do we really need to model this problem with a parent Controller class, two child classes, and some composition? Is there a way to take advantage of OLOO-style behavior delegation and have a much simpler design? Yes!
var LoginController = {
errors: [],
getUser: function() {
return document.getElementById(
"login_username"
).value;
},
getPassword: function() {
return document.getElementById(
"login_password"
).value;
},
validateEntry: function(user,pw) {
user = user || this.getUser();
pw = pw || this.getPassword();
if (!(user && pw)) {
return this.failure(
"Please enter a username & password!"
);
}
else if (user.length < 5) {
return this.failure(
"Password must be 5+ characters!"
);
}
// got here? validated!
return true;
},
showDialog: function(title,msg) {
// display success message to user in dialog
},
failure: function(err) {
this.errors.push( err );
this.showDialog( "Error", "Login invalid: " + err );
}
};
// Link `AuthController` to delegate to `LoginController`
var AuthController = Object.create( LoginController );
AuthController.errors = [];
AuthController.checkAuth = function() {
var user = this.getUser();
var pw = this.getPassword();
if (this.validateEntry( user, pw )) {
this.server( "/check-auth",{
user: user,
pw: pw
} )
.then( this.accepted.bind( this ) )
.fail( this.rejected.bind( this ) );
}
};
AuthController.server = function(url,data) {
return $.ajax( {
url: url,
data: data
} );
};
AuthController.accepted = function() {
this.showDialog( "Success", "Authenticated!" )
};
AuthController.rejected = function(err) {
this.failure( "Auth Failed: " + err );
};
Since AuthController is just an object (so is LoginController), we don’t need to instantiate (like new AuthController()) to perform our task. All we need to do is:
AuthController.checkAuth();
Of course, with OLOO, if you do need to create one or more additional objects in the delegation chain, that’s easy, and still doesn’t require anything like class instantiation:
var controller1 = Object.create( AuthController );
var controller2 = Object.create( AuthController );
With behavior delegation, AuthController and LoginController are just objects, horizontal peers of each other, and are not arranged or related as parents and children in class orientation. We somewhat arbitrarily chose to have AuthController delegate to LoginController; it would have been just as valid for the delegation to go the reverse direction.
The main takeaway from this second code listing is that we only have two entities (LoginController and AuthController), not three as before.
We didn’t need a base Controller class to “share” behavior between the two, because delegation is a powerful enough mechanism to give us the functionality we need. We also, as noted before, don’t need to instantiate our classes to work with them, because there are no classes, just the objects themselves. Furthermore, there’s no need for composition, as delegation gives the two objects the ability to cooperate differentially as needed.
Lastly, we avoided the polymorphism pitfalls of class-oriented design by not having the names success(..) and failure(..) be the same on both objects, which would have required ugly explicit pseudopolymorphism. Instead, we called them accepted() and rejected(..) onAuthController—slightly more descriptive names for their specific tasks.
Bottom line: we end up with the same capability, but a (significantly) simpler design. That’s the power of OLOO-style code and the power of the behavior delegation design pattern.
Nicer Syntax
One of the nicer things that makes ES6’s class so deceptively attractive (see Appendix A on why to avoid it!) is the shorthand syntax for declaring class methods:
class Foo {
methodName() { /* .. */ }
}
We get to drop the word function from the declaration, which makes JS developers everywhere cheer!
And you may have noticed and been frustrated that the previously suggested OLOO syntax has lots of function appearances, which seems like a bit of a detractor to the goal of OLOO simplification. But it doesn’t have to be that way!
As of ES6, we can use concise method declarations in any object literal, so an object in OLOO style can be declared this way (same shorthand sugar as with the class body syntax):
var LoginController = {
errors: [],
getUser() { // Look ma, no `function`!
// ...
},
getPassword() {
// ...
}
// ...
};
About the only difference is that object literals will still require , comma separators between elements whereas class syntax doesn’t. Pretty minor concession in the whole scheme of things.
Moreover, as of ES6, the clunkier syntax you use (like for the AuthController definition), where you’re assigning properties individually and not using an object literal, can be rewritten using an object literal (so that you can use concise methods), and you can just modify that object’s[[Prototype]] with Object.setPrototypeOf(..), like this:
// use nicer object literal syntax w/ concise methods!
var AuthController = {
errors: [],
checkAuth() {
// ...
},
server(url,data) {
// ...
}
// ...
};
// NOW, link `AuthController` to delegate to `LoginController`
Object.setPrototypeOf( AuthController, LoginController );
OLOO style as of ES6, with concise methods, is a lot friendlier than it was before (and even then, it was much simpler and nicer than classical prototype-style code). You don’t have to opt for class (complexity) to get nice clean object syntax!
Unlexical
There is one drawback to concise methods that’s subtle but important to note. Consider this code:
var Foo = {
bar() { /*..*/ },
baz: function baz() { /*..*/ }
};
Here’s the syntactic de-sugaring that expresses how that code will operate:
var Foo = {
bar: function() { /*..*/ },
baz: function baz() { /*..*/ }
};
See the difference? The bar() shorthand became an anonymous function expression (function()..) attached to the bar property, because the function object itself has no name identifier. Compare that to the manually specified named function expression (function baz()..), which has a lexical name identifier baz in addition to being attached to a .baz property.
So what? In the Scope & Closures title of this book series, we cover the three main downsides of anonymous function expressions in detail. We’ll just briefly repeat them so we can compare to the concise method shorthand.
The lack of a name identifier on an anonymous function:
1. Makes debugging stack traces harder
2. Makes self-referencing (recursion, event (un)binding, etc.) harder
3. Makes code (a little bit) harder to understand
Items 1 and 3 don’t apply to concise methods.
Even though the de-sugaring uses an anonymous function expression, which normally would have no name in stack traces, concise methods are specified to set the internal name property of the function object accordingly, so stack traces should be able to use it (though that’s implementation dependent so not guaranteed).
Item 2 is, unfortunately, still a drawback to concise methods. They will not have a lexical identifier to use as a self-reference. Consider:
var Foo = {
bar: function(x) {
if (x < 10) {
return Foo.bar( x * 2 );
}
return x;
},
baz: function baz(x) {
if (x < 10) {
return baz( x * 2 );
}
return x;
}
};
The manual Foo.bar(x*2) reference kind of suffices in this example, but there are many cases where a function wouldn’t necessarily be able to do that, such as cases where the function is being shared in delegation across different objects, using this binding, etc. You would want to use a real self-reference, and the function object’s name identifier is the best way to accomplish that.
Just be aware of this caveat for concise methods, and if you run into such issues with lack of self-reference, make sure to forego the concise method syntax just for that declaration in favor of the manual named function expression declaration form: baz: function baz(){..}.
Introspection
If you’ve spent much time with class-oriented programming (either in JS or other languages), you’re probably familiar with type introspection: inspecting an instance to find out what kind of object it is. The primary goal of type introspection with class instances is to reason about the structure/capabilities of the object based on how it was created.
Consider this code that uses instanceof (see Chapter 5) for introspecting on an object a1 to infer its capability:
function Foo() {
// ...
}
Foo.prototype.something = function(){
// ...
}
var a1 = new Foo();
// later
if (a1 instanceof Foo) {
a1.something();
}
Because Foo.prototype (not Foo!) is in the [[Prototype]] chain (see Chapter 5) of a1, the instanceof operator (confusingly) pretends to tell us that a1 is an instance of the Foo “class.” With this knowledge, we then assume that a1 has the capabilities described by the Foo “class.”
Of course, there is no Foo class, only a plain old normal function Foo, which happens to have a reference to an arbitrary object (Foo.prototype) that a1 happens to be delegation-linked to. By its syntax, instanceof pretends to be inspecting the relationship between a1 and Foo, but it’s actually telling us whether a1 and (the arbitrary object referenced by) Foo.prototype are related.
The semantic confusion (and indirection) of instanceof syntax means that to use instanceof-based introspection to ask if object a1 is related to the capabilities object in question, you have to have a function that holds a reference to that object—you can’t just directly ask if the two objects are related.
Recall the abstract Foo/Bar/b1 example from earlier in this chapter, which we’ll abbreviate here:
function Foo() { /* .. */ }
Foo.prototype...
function Bar() { /* .. */ }
Bar.prototype = Object.create( Foo.prototype );
var b1 = new Bar( "b1" );
For type introspection purposes on the entities in that example, using instanceof and .prototype semantics, here are the various checks you might need to perform:
// relating `Foo` and `Bar` to each other
Bar.prototype instanceof Foo; // true
Object.getPrototypeOf( Bar.prototype )
=== Foo.prototype; // true
Foo.prototype.isPrototypeOf( Bar.prototype ); // true
// relating `b1` to both `Foo` and `Bar`
b1 instanceof Foo; // true
b1 instanceof Bar; // true
Object.getPrototypeOf( b1 ) === Bar.prototype; // true
Foo.prototype.isPrototypeOf( b1 ); // true
Bar.prototype.isPrototypeOf( b1 ); // true
It’s fair to say that some of that kinda sucks. For instance, intuitively (with classes) you might want to be able to say something like Bar instanceof Foo (because it’s easy to mix up what “instance” means to think it includes “inheritance”), but that’s not a sensible comparison in JS. You have to do Bar.prototype instanceof Foo instead.
Another common, but perhaps less robust, pattern for type introspection, which many devs seem to prefer over instanceof, is called “duck typing.” This term comes from the adage, “if it looks like a duck, and it quacks like a duck, it must be a duck.”
Example:
if (a1.something) {
a1.something();
}
Rather than inspecting for a relationship between a1 and an object that holds the delegatable something() function, we assume that the test for a1.something passing means a1 has the capability to call .something() (regardless of if it found the method directly on a1 or delegated to some other object). In and of itself, that assumption isn’t so risky.
But “duck typing” is often extended to make other assumptions about the object’s capabilities besides what’s being tested, which of course introduces more risk (aka brittle design) into the test.
One notable example of “duck typing” comes with ES6 Promises (which as an earlier note explained, are not being covered in this book).
For various reasons, there’s a need to determine if any arbitrary object reference is a Promise, but the way that test is done is to check if the object happens to have a then() function present on it. In other words, if any object happens to have a then() method, ES6 Promises will assume unconditionally that the object is a “thenable” and therefore will expect it to behave conformantly to all standard behaviors of Promises.
If you have any non-Promise object that happens for whatever reason to have a then() method on it, you are strongly advised to keep it far away from the ES6 Promise mechanism to avoid broken assumptions.
That example clearly illustrates the perils of “duck typing.” You should only use such approaches sparingly and in controlled conditions.
Turning our attention once again back to OLOO-style code as presented here in this chapter, type introspection turns out to be much cleaner. Let’s recall (and abbreviate) the Foo/Bar/b1 OLOO example from earlier in the chapter:
var Foo = { /* .. */ };
var Bar = Object.create( Foo );
Bar...
var b1 = Object.create( Bar );
Using this OLOO approach, where all we have are plain objects that are related via [[Prototype]] delegation, here’s the quite simplified type introspection we might use:
// relating `Foo` and `Bar` to each other
Foo.isPrototypeOf( Bar ); // true
Object.getPrototypeOf( Bar ) === Foo; // true
// relating `b1` to both `Foo` and `Bar`
Foo.isPrototypeOf( b1 ); // true
Bar.isPrototypeOf( b1 ); // true
Object.getPrototypeOf( b1 ) === Bar; // true
We’re not using instanceof anymore, because it’s confusingly pretending to have something to do with classes. Now, we just ask the (informally stated) question, “Are you a prototype of me?” There’s no more indirection necessary with stuff like Foo.prototype or the painfully verboseFoo.prototype.isPrototypeOf(..).
I think it’s fair to say these checks are significantly less complicated/confusing that the previous set of introspection checks. Yet again, we see that OLOO is simpler than (but with all the same power of) class-style coding in JavaScript.
Review
Classes and inheritance are a design pattern you can choose, or not choose, in your software architecture. Most developers take for granted that classes are the only (proper) way to organize code, but here we’ve seen there’s another less-commonly talked about pattern that’s actually quite powerful: behavior delegation.
Behavior delegation suggests objects as peers of each other, which delegate among themselves, rather than parent and child class relationships. JavaScript’s [[Prototype]] mechanism is, by its very designed nature, a behavior delegation mechanism. That means we can either choose to struggle to implement class mechanics on top of JS (see Chapters 4 and 5), or we can just embrace the natural state of [[Prototype]] as a delegation mechanism.
When you design code with objects only, not only does it simplify the syntax you use, but it can actually lead to simpler code architecture design.
OLOO (objects linked to other objects) is a code style that creates and relates objects directly without the abstraction of classes. OLOO quite naturally implements [[Prototype]]-based behavior delegation.