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Nette Schema

Introduction

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:

It requires PHP version 8.1 and supports PHP up to 8.3.

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Basic Usage

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.

Method $e->getMessages() returns array of all message strings and $e->getMessageObjects() return all messages as Nette\Schema\Message objects.

Defining Schema

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.

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:

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:

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:

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.

Data Types: type()

All standard PHP data types can be listed in the schema:

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:

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).

Array of Values: arrayOf() listOf()

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:

The second parameter can be used to specify keys (since version 1.2):

The list is an indexed array:

The parameter can also be a schema, so we can write:

The default value is an empty array. If you specify a default value and call mergeDefaults(), it will be merged with the passed data.

Enumeration: anyOf()

anyOf() is a set of values ​​or schemas that a value can be. Here's how to write an array of elements that can be either 'a', true, or null:

The enumeration elements can also be schemas:

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:

Structures

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():

If you do not want to output properties with only a default value, use skipDefaults():

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():

By default, there can be no extra items in the input data:

Which we can change with otherItems(). As a parameter, we will specify the schema for each extra element:

Deprecations

You can deprecate property using the deprecated([string $message]) method. Deprecation notices are returned by $processor->getWarnings():

Ranges: min() max()

Use min() and max() to limit the number of elements for arrays:

For strings, limit their length:

For numbers, limit their value:

Of course, it is possible to mention only min(), or only max():

Regular Expressions: pattern()

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 $):

Custom Assertions: assert()

You can add any other restrictions using assert(callable $fn).

Or

You can add your own description for each assertion. It will be part of the error message.

The method can be called repeatedly to add multiple constraints. It can be intermixed with calls to transform() and castTo().

Transformation: transform()

Successfully validated data can be modified using a custom function:

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:

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:

Casting: castTo()

Successfully validated data can be cast:

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:

If the class has a constructor, the elements of the structure are passed as named parameters to the constructor:

Casting combined with a scalar parameter creates an object and passes the value as the sole parameter to the constructor:

Normalization: before()

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:

Mapping to Objects: from()

You can generate structure schema from the class. Example:

Anonymous classes are also supported:

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: