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CSS3 Attribute Selectors

The power of CSS Selectors can not be understated; for, without them, there would be no simple means by which developers could target specific elements for styling in a manner abstracted from, or external to, the actual markup to which the styles will bind.

In addition to some of the more common Simple Selectors, such as Type Selectors, Class Selectors and Id Selectors, we have have Attribute Selectors, which, as the name implies, allow us to match elements based on their attributes.

Attribute Presence and Value Selectors

CSS2 introduced four Attribute Selectors; referred to as Attribute Presence and Value Selectors, which allow for coarse grained matching of specific elements based on their attributes and / or attribute values. These include the following:

e[attr]
Where e is an element and [attr] is an attribute of element e. For example, p[title] would match all p tags with a title, regardless of the value of the title.
e[attr=val]
Where e is an element and [attr=val] represent an attribute of element e which contains the exact value of val. For example, p[title="Example 1"] would match all p tags with a title which equals “Example 1” exactly.
e[attr~=val]
Where e is an element and [attr~=val] is an attribute of element e which has a value containing a whitespace-separated list of words, one of which equals val exactly. For example, p[title~="Example-1a"] would match all p tags with a title containing the word “Example-1a” in a list of whitespace delimited words.
e[attr|=val]
Where e is an element and [attr|=val] is an attribute of element e that has a value of val exactly, or begins with val immediately followed by a hyphen “-“. For example, p[title!="Example"] would match all p tags with a title containing the word “Example-“, followed by any other value, such as “Example-1”, “Example-A”, etc..

View Example

Substring Matching Attribute Selectors

In addition to the above Attribute Presence and Value Selectors, CSS3 expands on this by defining three additional Attribute Selectors; referred to as Substring Matching Attribute Selectors. These additions allow for fine grained matching of specific elements based on their attribute values.

In simplest terms, the new Attribute Selectors in CSS3 can be used to match an element with a given attribute whose value begins, ends or contains a certain value. The following is a basic description and example of each new Attribute Selector:

e[attr^=val]
Where e is an element and [attr^=val] is an attribute of element e which contains a value that begins with val.
e[attr$=val]
Where e is an element and [attr$=val] represent an attribute of element e which contains a value that ends with val.
e[attr*=val]
Where e is an element and [attr*=val] is an attribute of element e which has a value that contains val.

View Example

To summarize, there are a total of seven Attribute Selectors in CSS3, three of which are new. Whether used for general matches, such as global Attributes; e.g. *[hreflang|=en] or more specific matches, such as chaining; e.g, a[href^="https"][target="_blank"], Attribute Selectors provide a powerful mechanism for selecting both general and specific content within a page.

Circumventing Conditional Comparisons

Often during the course of my day I come across code which evaluates the same conditional comparisons in multiple contexts. Understandably, this is rather typical of most software systems, and while it may only introduce a negligible amount of technical dept (in the form of redundancy) for smaller systems, that dept can grow considerably in more complex, large scale applications. From a design perspective, this issue is applicable to nearly every language.

For example, consider a simple Compass class which defines just one public property, “direction” and, four constants representing each cardinal direction: North, East, South and West, respectively. In JavaScript, this could be defined simply as follows:

Technically, there is nothing problematic with the above class signature; the defined constants certainly provide a much better design than conditional comparisons against literal strings throughout implementation code. That being said, this design does lead to redundancy as every instance of Compass which needs to evaluate the state of direction requires conditional comparisons.

For example, to test for Compass.North, typically, client code must be implemented as follows:

Likewise, simular comparisons would need to be implemented for each cardinal direction. And, while this may seem trivial for a class as simple as the Compass example, it does become a maintenance issue for more complex implementations.

With this in mind, we can simplify client code by defining each state as a specific method of Compass. In doing so, we afford our code the benefit of exercising (unit testing) Compass exclusively. This alone improves maintainability while also simplifying client code which depends on Compass. As such, Compass could be refactored to:

Based on the above implementation of Compass, the previous conditional comparison can be refactored as follows:

Comparator API

To simplify implementing conditional comparisons, I have provided a simple Comparator API that defines a single static method: Comparator.each, which allows for augmenting existing objects with comparison methods. Comparator.each can be invoked with three arguments as follows:

type

The Class to which the comparison methods are to be added.
property
The property against which the comparisons are to be made. If the property has not been defined it, too, will be added.
values
An Array of constants where each value will be used to create a new comparison method (prefixed with “is”). If the constants specified are Strings, typically an Array containing each constant should suffice. For example, passing [Foo.BAR] where BAR equals “Bar” would result in an isBar() method being created. To specify custom comparison method names, an Object of name/value pairs can be used where each name defines the name of the method added and the value is the constant evaluated by the method. This is useful for constants which are not strings. For example, {isIOS421: DeviceVersion.IOS_4_2_1} where IOS_4_2_1 equals 4.2.1 would result in an isIOS421() method being created.

Taking the Compass example, the previous comparison methods could be augmented without the need to explicitly define them via Comparator.each:

The above results in the comparison methods isNorth, isEast, isSouth and isWest being added to the Compass type.

Comparator: source | min | test (run)

Interconnectivity in JavaScript with Peerbind

The ability to facilitate interconnectivity between multiple clients has always presented some rather interesting possibilities for both simple and complex Web Applications alike. More often than not, such interconnected applications would require complex server-side configurations (often proprietary in nature) in addition to numerous infrastructure considerations.

Peerbind, a new JavaScript API, remedies many of these complications by providing a very simple client-side API built on jQuery.

Peerbind is quite unique in that it provides an event binding API (on top of jQuery) that is shared amongst all connected clients of the same interest. Essentially this allows for binding something as common as a “click” event (or any event for that matter, including custom events) such that each active instance of the same application across the web will be notified of the event. As one might imagine, this allows for some rather compelling possibilities.

To demonstrate just how quickly and easily interconnectivity can be plugged into a web application using Peerbind (and the Peerbind public server), below is a simple example which displays a new item each time a new “peer” views the example page since loaded (hint: try opening a few instances, either in tabs or separate browsers).

Example (run)

Simple enough!

Of course, for most applications there are obvious security concerns which would need to be addressed as well as issues of scale and availability to take into consideration. That being said, if you haven’t checked out Peerbind yet and would like to quickly and easily add interconnectivity to your application or leverage it’s simplicity to prototype such features, it is certainly worth taking for a test drive.

Test Driven Javascript with QUnit

For the past year I have been using jQuery Mobile for developing web based mobile applications leveraging HTML5, CSS3 and JavaScript. Like all UI implementations, meaningful test coverage is essential to ensuring requirements have been met and refactoring can be achieved with confidence. Building applications for the Mobile Web is no different in this respect. And so, a high quality Unit Testing framework is as essential to the success of Mobile Web Applications as it is to their Desktop counterparts.

Why QUnit?

While there are quite a few good JavaScript Unit Testing Frameworks available, Jasmine in particular, I have found QUnit to best suit my particular needs for implementing Test Driven Development in JavaScript based on it’s clean design and practical implementation.

A Simple, Powerful API

The power of QUnit lies in it’s simple and a rather unique approach to Test Driven Development in JavaScript. The QUnit API introduces a few slightly different test implementation concepts when compared to the more traditional xUnit style of TDD. In doing so, QUnit succeeds in simplifying some of the tedium of writing tests by leveraging the language features of JavaScript as opposed to strictly adhering to the more traditional xUnit conventions, the design of which is based on an fundamentally different language idiom – that is, Java.

For example, consider the follow which tests for a custom data namespace attribute in jQuery Mobile:

Figure 1 (run) (source)

The above test may appear quite straightforward, yet it serves as a good example by illustrating how each test in QUnit is implemented by the QUnit test fixture. The first argument is simply a String which describes the test case. This is quite convenient in that the intent of a particular test case can be expressed more naturally in textual form as opposed to using a long, descriptive test method name. The Second argument contains the actual test implementation itself, which is defined as an anonymous function and passed as an argument to QUnit.test.

As you may have also noticed from the above example, there are some, perhaps subtle, differences between the QUnit style of testing and the traditional xUnit style. Specifically, whereas in xUnit assertions expected values are specified first and preceded by actuals, in QUnit actuals are specified first followed by expected values. This may feel a bit odd at first however, after a few tests it’s easy to get used to. Additionally, where an assertion message is specified before any arguments in xUnit, in QUnit assertion messages are specified after all arguments. With regard to test descriptions, this is a difference I prefer as, a test message is always optional so passing this value last make sense. While somewhat subtle differences, these are worth noting.

A Complete Example

As code can typically convey much more information than any lengthy article could ever hope to achieve, I have provided a simple, yet complete, example which demonstrates a basic qUnit test implementation. (run) (source).

Tracking HTML5 Support in Chrome

Google has now made it easy to track the current implementation status of HTML5 in Chrome via The Chromium Projects’ new Web Platform Status page.

Many of the sections have links to their html5rocks site, which provide further details and more in-depth tutorials of implemented specifications.

The current sections include:

This is certainly something to keep an eye on as, Chrome is setting the standard in terms of HTML5 support by desktop browser vendors.

Multiple Form Factor Software Design

I have been giving a lot of thought lately about designing software in a Multi-Form Factor paradigm and felt I would share some initial thoughts on the subject. Keep in mind much of this is still quite new and subject to change; however, I have made an attempt to isolate what I feel will remain constant moving forward.

First, User Experience Design

My initial thoughts on the implications of what an ever growing Multi-Form Factor paradigm will have on the way we think about the design of software are primarily concerned with User Experience Design. While using CSS3 media queries to facilitate dynamic layouts will be needed for most Web Applications, I do not believe these types of solutions alone will allow for the kinds of compelling experiences users have come to expect, especially as they will likely compare Mobile Web Application experiences to their native counterparts. Sure some basic solutions will be needed, and for some simple websites they may suffice. However, in the context Web Applications, as well as just about every application developed specifically for a PC, too, I believe UX Design will need to leverage the unique opportunities presented by each particular form factor, be it a PC, smartphone, tablet or TV. Likewise, UX will need to account for the constraints of each form-factor as well. Architecturally, all of the above presents both opportunity and challenge.

To further illustrate this point, consider the fact that it is arguably quite rare that a UX Design intended for users of a PC will easily translate directly to a Mobile or Tablet User Experience. The interactions of a traditional physical keyboard and mouse do not always equate to those of soft keys, virtual keyboards and touch gesture interactions. Moreover, the navigation and transitions between different views and even certain concepts and metaphors are completely different. In simplest terms; it’s not “Apples to Apples”, as the expression goes.

With this in mind, as always, UX Design will need to remain at the forefront of Software Design.

Second, Architecture

Multi-Form Factor design obviously poses some new Architectural challenges considering the growing number of form factors which will need to be taken into account. The good news is, most existing, well designed software architectures may have been designed with this in mind to a certain degree. That is, the key factor in managing this complexity I believe will be code reuse; specifically, generalization and abstraction. A common theme amongst many of my posts, code reuse has many obvious benefits, and in the context of Multi-Form Factor concerns it will allow for different device specific applications to leverage general, well defined and well tested APIs. A good example being a well designed RESTful JSON service.

Code reuse will certainly be of tremendous value when considering the complexities encountered with Multi-Form Factor design. Such shared libraries, APIs and Services can be reused across applications which are designed for particular Form-Factors or extended to provide screen / device specific implementations.

Some Concluding Thoughts

In short, I believe both users and developers alike will be best served by providing unique User Experiences for specific Form Factors as opposed to attempting to adapt the same application across Multiple Form Factors. One of the easiest ways of managing this complexity will inevitably be code reuse.

I also believe the main point of focus should be on the medium and small form factors; i.e. Tablets and Smart phones. Not only for the more common reasons but, also because I believe PCs and Laptops will eventually be used almost exclusively for developing the applications which run on the other form factors. In fact, I can say this from my own experiences already.

While there is still much to learn in the area of Multi-Form Factor Design, I feel the ideas I’ve expressed here will remain relevant. Over the course of the coming months I plan to dedicate much of my time towards further exploration of this topic and will certainly continue to share my findings.