Validating JSON against schema in PHP

GitHub was rather slow yesterday, which affected the speed of installing composer dependencies (since most of them are hosted on GitHub anyway).  Staring at a slowly scrolling list of installed dependencies, I noticed something interesting.

...
  - Installing seld/jsonlint (1.6.0)
  - Installing justinrainbow/json-schema (5.1.0)
...

Of course, I’ve heard of the seld/jsonlint before.  It’s a port of zaach/jsonlint JavaScript tool to PHP, written by Jordi Boggiano, aka Seldaek, the genius who brought us composer dependency manager and packagist.org repository.

But JSON schema? What’s that?

The last time I heard the word “schema” in a non-database context, it was in the XML domain.  And I hate XML with passion.  It’s ugly and horrible and should die a quick death.  The sooner, the better.

But with all its ugliness, XML has does something right – it allows the schema definition, against which the XML file can be validated later.

Can I have the same with JSON?  Well, apparently, yes!

justinrainbow/json-schema package allows one to define a schema for what’s allowed in the JSON file, and than validate against it.  And even more than that – it supports both required values and default values too.

Seeing the package being installed right next to something by Seldaek, I figured, composer might be using it already.  A quick look in the repository confirmed my suspicion.  Composer documentation provides more information, and links to an even more helpful JSON-Schema.org.

Mind.  Officially.  Blown.

At work, we use a whole lot of configuration files for many of our projects.  Those files which are intended for tech-savvy users, are usually in JSON or PHP format, without much validation attached to them.   Those files which are for non-technical users, usually rely on even simpler formats like INI and CSV.  I see this all changing and improving soon.

But before any of that happens, I need to play around with these amazing tools.  Here’s a quick first look that I did:

  1. Install the JSON validator: composer require justinrainbow/json-schema
  2. Create an example config.json file that I will be validating.
  3. Create a simple schema.json file that defines what is valid.
  4. Create a simple index.php file to tie it altogether, mostly just coping code from the documentation.

My config.json file looks like this:

{
	"blah": "foobar",
	"foo": "bar"
}

My schema.json file looks like this:

{
	"type": "object",
	"properties": {
		"blah": {
			"type": "string"
		},
		"version": {
			"type": "string",
			"default": "v1.0.0"
		}
	}
}

And, finally, my index.php file looks like this:

<?php
require_once 'vendor/autoload.php';

use JsonSchema\Validator;
use JsonSchema\Constraints\Constraint;

$config = json_decode(file_get_contents('config.json'));
$validator = new Validator; $validator->validate(
	$config,
	(object)['$ref' => 'file://' . realpath('schema.json')],
	Constraint::CHECK_MODE_APPLY_DEFAULTS
);

if ($validator->isValid()) {
	echo "JSON validates OK\n";
} else {
	echo "JSON validation errors:\n";
	foreach ($validator->getErrors() as $error) {
		print_r($error);
	}
}

print "\nResulting config:\n";
print_r($config);

When I run it, I get the following output:

$ php index.php 
JSON validates OK

Resulting config:
stdClass Object
(
    [blah] => foobar
    [foo] => bar
    [version] => v1.0.0
)

What if I change my config.json to have something invalid, like an integer instead of a string?

{
	"blah": 1,
	"foo": "bar"
}

The validation fails with a helpful information:

$ php index.php 
JSON validation errors:
Array
(
    [property] => blah
    [pointer] => /blah
    [message] => Integer value found, but a string is required
    [constraint] => type
)

Resulting config:
stdClass Object
(
    [blah] => 1
    [foo] => bar
    [version] => v1.0.0
)

This is great. Maybe even beyond great!

The possibilities here are endless.  First of all, we can obviously validate the configuration files.  Secondly, we can automatically generate the documentation for the supported configuration options and values.  It’s probably not going to be super fantastic at first, but it will cover ALL supported cases and will always be up-to-date.  Thirdly, this whole thing can be taken to the next level very easily, since the schema files are JSON themselves, which means schema’s can be generated on the fly.

For example, in our projects, we allow the admin/developer to specify which database field of a table is used as display field (in links and such).  Only existing database fields should be allowed.  So, we can generate the schema with available fields on project deployment, and then validate the user configuration against his particular database setup.

There are probably even better ways to utilize all this, but I’ll have to think about it, which is not easy with the mind blown…

Update (March 16, 2017): also have a look at some alternative JSON Schema validators.  JSON Guard might be a slightly better option.

My lightbulb moment with modular design

Cameron Lock, of Yammer fame, describes the complexities involved that led her and the team to a simpler, more modular approach to the mobile application design.  The most important bit after grouping everything into modules, practically, I think, is this:

We stopped defining margins between modules. Instead, all the spacing in the app would come from padding within the modules — specifically, top padding. Bottom padding would have worked, too; just not both. The key is to choose one of the two and stick with it.

Language Detection Library for PHP

patrickschur/language-detection – is a language detection library for PHP, which detects the language from a given text string.  Now, a bit more detailed:

This library can detect the language of a given text string. It can parse given training text in many different idioms into a sequence of N-grams and builds a database file in JSON format to be used in the detection phase. Then it can take a given text and detect its language using the database previously generated in the training phase. The library comes with text samples used for training and detecting text in 106 languages.

I tried it briefly with a few languages that I can master a phrase or two in, and it works better with some than with others.  Greek was good, Russian not so much.

Hopefully, the sample data used for training will improve over time, but it’s definitely a good start.

Via this blog post.

 

Design Patterns for Humans

Design Patterns for Human is an excellent effort to explain design patterns in plain words and simple examples.

Design patterns are solutions to recurring problems; guidelines on how to tackle certain problems. They are not classes, packages or libraries that you can plug into your application and wait for the magic to happen. These are, rather, guidelines on how to tackle certain problems in certain situations.

This collection is useful both for novices who are just trying to figure out what design patterns are and how to use them, and experienced developers who need a quick reminder once in a while.  Shorter than a book, simpler than Wikipedia.