by Bukhari Muhammad
Do you hate regex? Well then, I have a solution for you…
So… What is PregX?
Developers unused to regular expressions may face difficulties when trying to use complex regular expression notations and syntax. This library should help these developers achieve common tasks that require regular expressions. It leverages the pre-written patterns that we most frequently use in our projects.
Why not write your own regular expressions?
The Don’t Repeat Yourself (DRY) approach is that repetition in code should be reduced via automation or abstraction. This is a fundamental principle of programming that ought to be obeyed whenever possible. Since duplication wastes both time and space, I went to some length to find a solution not just for myself, but for others as well.
What’s the point behind the DRY principle if we keep reinventing bread every time a Tom, Dick or Harry discovers wheat?
I found common regex patterns. My idea was to abstract each of these popular patterns into a useful pure function of its own. This abstraction would not mutate or alter the state of the given string to match. Each function would then return an array of the items matched in the given string.
PregX was not designed to oppose originality. It has two simultaneous aims. One aim is to reduce the time that developers spend on trying to use regex. The other aim is to avoid complexity where it does not belong.
Though, guilty as charged, this package is also (indirectly) meant for those lazy-bums that always evade writing regular expressions.
Then again, you may need to write your own regex. Your approach totally depends on the needs of the task at hand.
When should I use PregX?
Good question, when should you?
PregX can be used when inbuilt functionality fails to achieve, or is inadequate for, your complex desired outcome. Some might argue that regex could achieve this task.
Regex might shorten the code effectively. However, it can also lessen the readability of your code, depending on the complexity of the task at hand.
Why not opt for a ready baked solution that’s abstracted into a useful function?
This is where PregX comes into play. Patterns are abstracted in functions in line with the Functional Programming Paradigm. This makes it the go-to solution for common regex tasks. Using PregX achieves the same outcome, without settling for less readable code or reinventing bread.
A broadly accurate principle is: Whatever pattern you’re cooking up, there’s probably a person who’s already written it. PregX takes this rule of thumb, by accumulating such patterns for the greater bunch of non-regex oriented developers.
Then again, this all depends on what you’re comfortable with. If you’re not hot at writing your own patterns then this is an easy way out.
When not to use PregX
If you seek an out-of-the-ordinary , pattern that’s super specific to your needs, then PregX simply is not the answer. PregX is not intended to replace regex, that’d be super silly. Regex will always remain the best solution when it comes to precise or explicit tasks of this nature. Bottom-line, a good developer will know when to use a loaf tin and when to use a bakery.
The simplicity and usefulness of PregX
I thought I’d showcase a few practical code samples to demonstrate the awesomeness of this library. That is, if you’re not yet convinced by all the boring talk I’ve written so far. ?
Credit card example
The following example shows how to match a credit card number using a string, with
getCreditCardNumber(). One could even specify the type pf credit card to match, via the
cardType property of the function’s
config object. By default, this function matches Visa card numbers. Check this sample:
Not impressed? I’ve got enough tricks up our sleeve to entice you.
Postal code example
If the above code sample didn’t do it, then this one will.
The pattern of the
getPostalCode() function is among the many patterns that I’ve written myself. There are lots of solutions out there that attempt to do this. None match PregX’s standard.
I’ve used Wikipedia’s Postal Code List as a reference, and cooked up PregX’s single greatest function. With support for matching the postal addresses of over 150 countries, this function — at least for me — remains the best solution to achieve this common task. Take a look:
Currently Supported Patterns
PregX supports a curated list of 35 (and counting)different patterns, all well tested to match their appropriate text. Here’s a list of the supported patterns:
These are only two examples of the many patterns that this library contains. For documentation, examples of usage, and more information on PregX, check its repository on GitHub. Better yet, clone it or test it out by simply installing it via NPM:
npm install pregx --save
I’d love to hear your feedback on this package. PregX currently consists of 35 patterns, I hope it reaches ~100. So, feel free to contribute any useful patterns. Star it on git.
Thanks for reading this post.