Nette Schema
A practical library for validation and normalization of data structures against a given schema with a smart & easy-to-understand API.
Documentation can be found on the website.
Installation:
composer require nette/schema
It requires PHP version 8.1 and supports PHP up to 8.3.
Do you like Nette Schema? Are you looking forward to the new features?
Thank you!
In variable $schema
we have a validation schema (what exactly this means and how to create it we will say later) and in variable $data
we have a data structure that we want to validate and normalize. This can be, for example, data sent by the user through an API, configuration file, etc.
The task is handled by the Nette\Schema\Processor class, which processes the input and either returns normalized data or throws an Nette\Schema\ValidationException exception on error.
$processor = new Nette\Schema\Processor;
try {
$normalized = $processor->process($schema, $data);
} catch (Nette\Schema\ValidationException $e) {
echo 'Data is invalid: ' . $e->getMessage();
}
Method $e->getMessages()
returns array of all message strings and $e->getMessageObjects()
return all messages as Nette\Schema\Message objects.
And now let's create a schema. The class Nette\Schema\Expect is used to define it, we actually define expectations of what the data should look like. Let's say that the input data must be a structure (e.g. an array) containing elements processRefund
of type bool and refundAmount
of type int.
use Nette\Schema\Expect;
$schema = Expect::structure([
'processRefund' => Expect::bool(),
'refundAmount' => Expect::int(),
]);
We believe that the schema definition looks clear, even if you see it for the very first time.
Lets send the following data for validation:
$data = [
'processRefund' => true,
'refundAmount' => 17,
];
$normalized = $processor->process($schema, $data); // OK, it passes
The output, i.e. the value $normalized
, is the object stdClass
. If we want the output to be an array, we add a cast to schema Expect::structure([...])->castTo('array')
.
All elements of the structure are optional and have a default value null
. Example:
$data = [
'refundAmount' => 17,
];
$normalized = $processor->process($schema, $data); // OK, it passes
// $normalized = {'processRefund' => null, 'refundAmount' => 17}
The fact that the default value is null
does not mean that it would be accepted in the input data 'processRefund' => null
. No, the input must be boolean, i.e. only true
or false
. We would have to explicitly allow null
via Expect::bool()->nullable()
.
An item can be made mandatory using Expect::bool()->required()
. We change the default value to false
using Expect::bool()->default(false)
or shortly using Expect::bool(false)
.
And what if we wanted to accept 1
and 0
besides booleans? Then we list the allowed values, which we will also normalize to boolean:
$schema = Expect::structure([
'processRefund' => Expect::anyOf(true, false, 1, 0)->castTo('bool'),
'refundAmount' => Expect::int(),
]);
$normalized = $processor->process($schema, $data);
is_bool($normalized->processRefund); // true
Now you know the basics of how the schema is defined and how the individual elements of the structure behave. We will now show what all the other elements can be used in defining a schema.
All standard PHP data types can be listed in the schema:
Expect::string($default = null)
Expect::int($default = null)
Expect::float($default = null)
Expect::bool($default = null)
Expect::null()
Expect::array($default = [])
And then all types supported by the Validators via Expect::type('scalar')
or abbreviated Expect::scalar()
. Also class or interface names are accepted, e.g. Expect::type('AddressEntity')
.
You can also use union notation:
Expect::type('bool|string|array')
The default value is always null
except for array
and list
, where it is an empty array. (A list is an array indexed in ascending order of numeric keys from zero, that is, a non-associative array).
The array is too general structure, it is more useful to specify exactly what elements it can contain. For example, an array whose elements can only be strings:
$schema = Expect::arrayOf('string');
$processor->process($schema, ['hello', 'world']); // OK
$processor->process($schema, ['a' => 'hello', 'b' => 'world']); // OK
$processor->process($schema, ['key' => 123]); // ERROR: 123 is not a string
The second parameter can be used to specify keys (since version 1.2):
$schema = Expect::arrayOf('string', 'int');
$processor->process($schema, ['hello', 'world']); // OK
$processor->process($schema, ['a' => 'hello']); // ERROR: 'a' is not int
The list is an indexed array:
$schema = Expect::listOf('string');
$processor->process($schema, ['a', 'b']); // OK
$processor->process($schema, ['a', 123]); // ERROR: 123 is not a string
$processor->process($schema, ['key' => 'a']); // ERROR: is not a list
$processor->process($schema, [1 => 'a', 0 => 'b']); // ERROR: is not a list
The parameter can also be a schema, so we can write:
Expect::arrayOf(Expect::bool())
The default value is an empty array. If you specify a default value and call mergeDefaults()
, it will be merged with the passed data.
anyOf()
is a set of values ββor schemas that a value can be. Here's how to write an array of elements that can be either 'a'
, true
, or null
:
$schema = Expect::listOf(
Expect::anyOf('a', true, null),
);
$processor->process($schema, ['a', true, null, 'a']); // OK
$processor->process($schema, ['a', false]); // ERROR: false does not belong there
The enumeration elements can also be schemas:
$schema = Expect::listOf(
Expect::anyOf(Expect::string(), true, null),
);
$processor->process($schema, ['foo', true, null, 'bar']); // OK
$processor->process($schema, [123]); // ERROR
The anyOf()
method accepts variants as individual parameters, not as array. To pass it an array of values, use the unpacking operator anyOf(...$variants)
.
The default value is null
. Use the firstIsDefault()
method to make the first element the default:
// default is 'hello'
Expect::anyOf(Expect::string('hello'), true, null)->firstIsDefault();
Structures are objects with defined keys. Each of these key => value pairs is referred to as a "property":
Structures accept arrays and objects and return objects stdClass
(unless you change it with castTo('array')
, etc.).
By default, all properties are optional and have a default value of null
. You can define mandatory properties using required()
:
$schema = Expect::structure([
'required' => Expect::string()->required(),
'optional' => Expect::string(), // the default value is null
]);
$processor->process($schema, ['optional' => '']);
// ERROR: option 'required' is missing
$processor->process($schema, ['required' => 'foo']);
// OK, returns {'required' => 'foo', 'optional' => null}
If you do not want to output properties with only a default value, use skipDefaults()
:
$schema = Expect::structure([
'required' => Expect::string()->required(),
'optional' => Expect::string(),
])->skipDefaults();
$processor->process($schema, ['required' => 'foo']);
// OK, returns {'required' => 'foo'}
Although null
is the default value of the optional
property, it is not allowed in the input data (the value must be a string). Properties accepting null
are defined using nullable()
:
$schema = Expect::structure([
'optional' => Expect::string(),
'nullable' => Expect::string()->nullable(),
]);
$processor->process($schema, ['optional' => null]);
// ERROR: 'optional' expects to be string, null given.
$processor->process($schema, ['nullable' => null]);
// OK, returns {'optional' => null, 'nullable' => null}
By default, there can be no extra items in the input data:
$schema = Expect::structure([
'key' => Expect::string(),
]);
$processor->process($schema, ['additional' => 1]);
// ERROR: Unexpected item 'additional'
Which we can change with otherItems()
. As a parameter, we will specify the schema for each extra element:
$schema = Expect::structure([
'key' => Expect::string(),
])->otherItems(Expect::int());
$processor->process($schema, ['additional' => 1]); // OK
$processor->process($schema, ['additional' => true]); // ERROR
You can deprecate property using the deprecated([string $message])
method. Deprecation notices are returned by $processor->getWarnings()
:
$schema = Expect::structure([
'old' => Expect::int()->deprecated('The item %path% is deprecated'),
]);
$processor->process($schema, ['old' => 1]); // OK
$processor->getWarnings(); // ["The item 'old' is deprecated"]
Use min()
and max()
to limit the number of elements for arrays:
// array, at least 10 items, maximum 20 items
Expect::array()->min(10)->max(20);
For strings, limit their length:
// string, at least 10 characters long, maximum 20 characters
Expect::string()->min(10)->max(20);
For numbers, limit their value:
// integer, between 10 and 20 inclusive
Expect::int()->min(10)->max(20);
Of course, it is possible to mention only min()
, or only max()
:
// string, maximum 20 characters
Expect::string()->max(20);
Using pattern()
, you can specify a regular expression which the whole input string must match (i.e. as if it were wrapped in characters ^
a $
):
// just 9 digits
Expect::string()->pattern('\d{9}');
You can add any other restrictions using assert(callable $fn)
.
$countIsEven = fn($v) => count($v) % 2 === 0;
$schema = Expect::arrayOf('string')
->assert($countIsEven); // the count must be even
$processor->process($schema, ['a', 'b']); // OK
$processor->process($schema, ['a', 'b', 'c']); // ERROR: 3 is not even
Or
Expect::string()->assert('is_file'); // the file must exist
You can add your own description for each assertion. It will be part of the error message.
$schema = Expect::arrayOf('string')
->assert($countIsEven, 'Even items in array');
$processor->process($schema, ['a', 'b', 'c']);
// Failed assertion "Even items in array" for item with value array.
The method can be called repeatedly to add multiple constraints. It can be intermixed with calls to transform()
and castTo()
.
Successfully validated data can be modified using a custom function:
// conversion to uppercase:
Expect::string()->transform(fn(string $s) => strtoupper($s));
The method can be called repeatedly to add multiple transformations. It can be intermixed with calls to assert()
and castTo()
. The operations will be executed in the order in which they are declared:
Expect::type('string|int')
->castTo('string')
->assert('ctype_lower', 'All characters must be lowercased')
->transform(fn(string $s) => strtoupper($s)); // conversion to uppercase
The transform()
method can both transform and validate the value simultaneously. This is often simpler and less redundant than chaining transform()
and assert()
. For this purpose, the function receives a Nette\Schema\Context object with an addError()
method, which can be used to add information about validation issues:
Expect::string()
->transform(function (string $s, Nette\Schema\Context $context) {
if (!ctype_lower($s)) {
$context->addError('All characters must be lowercased', 'my.case.error');
return null;
}
return strtoupper($s);
});
Successfully validated data can be cast:
Expect::scalar()->castTo('string');
In addition to native PHP types, you can also cast to classes. It distinguishes whether it is a simple class without a constructor or a class with a constructor. If the class has no constructor, an instance of it is created and all elements of the structure are written to its properties:
class Info
{
public bool $processRefund;
public int $refundAmount;
}
Expect::structure([
'processRefund' => Expect::bool(),
'refundAmount' => Expect::int(),
])->castTo(Info::class);
// creates '$obj = new Info' and writes to $obj->processRefund and $obj->refundAmount
If the class has a constructor, the elements of the structure are passed as named parameters to the constructor:
class Info
{
public function __construct(
public bool $processRefund,
public int $refundAmount,
) {
}
}
// creates $obj = new Info(processRefund: ..., refundAmount: ...)
Casting combined with a scalar parameter creates an object and passes the value as the sole parameter to the constructor:
Expect::string()->castTo(DateTime::class);
// creates new DateTime(...)
Prior to the validation itself, the data can be normalized using the method before()
. As an example, let's have an element that must be an array of strings (eg ['a', 'b', 'c']
), but receives input in the form of a string a b c
:
$explode = fn($v) => explode(' ', $v);
$schema = Expect::arrayOf('string')
->before($explode);
$normalized = $processor->process($schema, 'a b c');
// OK, returns ['a', 'b', 'c']
You can generate structure schema from the class. Example:
class Config
{
public string $name;
public ?string $password;
public bool $admin = false;
}
$schema = Expect::from(new Config);
$data = [
'name' => 'jeff',
];
$normalized = $processor->process($schema, $data);
// $normalized instanceof Config
// $normalized = {'name' => 'jeff', 'password' => null, 'admin' => false}
Anonymous classes are also supported:
$schema = Expect::from(new class {
public string $name;
public ?string $password;
public bool $admin = false;
});
Because the information obtained from the class definition may not be sufficient, you can add a custom schema for the elements with the second parameter:
$schema = Expect::from(new Config, [
'name' => Expect::string()->pattern('\w:.*'),
]);