Faker is an amazing tool for mocking things but has a one drawback — you have to do much of work in order to map all things you need. Especially when you are working with DTOs/Entities and they already have some assertions configured — the dev has to create very own rules from scratch.
This library solves that problem. I have introduced a FakeMock
library that takes care of filling up as many objects
as you need.
ToC
- Install
- Quick example
- Configuration
- Populating multiple objects
- Groups
- phpDoc
- Supported DTOs
- Asserts
- Supported asserts
- Internal architecture
- Advanced concepts
Install the library:
composer require er1z/fakemock
We assume all the autoloaders stuff is configured so create (or re-use) your DTO:
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock()
*/
class MyDto {
/**
* @FakeMockField()
*/
public $username;
}
Now — fill up above with some random data:
$fakemock = new Er1z\FakeMock\FakeMock();
$dto = new MyDto();
$fakemock->fill($dto);
echo $dto->username; // mr.handsome
What's happened — name guesser is used here
so it assumed that $username
may contain your user's login. But guessing not always would fit your needs. It's possible
to specify any Faker's method to fill it with random data:
/**
* @FakeMockField("name")
*/
public $username;
and we end up with generated some random first and last name.
Most part of behavior is controlled via annotations. We can specify two types of configuration: global (object-scope) and local (property-scope). All available properties for global scope:
type | name | default value | description |
---|---|---|---|
bool |
satisfyAssertsConditions |
true |
enables/disables asserts decorator (see: supported asserts) |
bool |
useAsserts |
true |
should FakeMock use assertions to generate data? |
array |
classMappings |
[] |
specifies a dictionary of SomeClass=>FQCN for mapping interfaces within this field |
string |null |
locale |
null |
locale to use with Faker |
Local scope:
type | name | default value | description |
---|---|---|---|
null |array |
arguments |
null |
an array of arguments for Faker method |
null |string |
faker |
null |
specify desired faker method. Set to null if you want to generator chain do it's best on guessing |
null |array|string |
groups |
null |
validation groups this rule for this rule is being processed. |
null |string |
regex |
null |
a regular expression to generate random data against |
null |bool |
satisfyAssertConditions |
null |
turns off or on assertion decorator — null inherits value from global configuration |
null |bool |
useAsserts |
null |
should FakeMock use validation rules to generate? If null , value is inherited from global configuration |
null |mixed |
value |
null |
literal value on field. Stops guessing |
null |string |
mapToClass |
null |
FQCN of class the object should be instantiated as |
string |null |
locale |
null |
locale to use with Faker |
Local scope configuration constructor has a possibility to create an annotation from string-argument which is populated to faker
key.
Developers are lazy so am I — you have to take care of things you really need to. So let's populate a few objects:
$fakemock = new FakeMock();
$results = [];
for( $a=0; $a<1000; $a++ )
{
$results[] = $fakemock->fill(MyDto::class);
}
That's all. They all are fresh instances so don't be concerned any references.
Sometimes it's needed to populate objects conditionally. Let's try with populating every 3rd generated object. First, declare a group of field:
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock()
*/
class GroupedDto {
/**
* @FakeMockField(groups={"first"})
*/
public $field;
}
Generate:
$fakemock = new FakeMock();
$results = [];
for( $a=0; $a<1000; $a++ )
{
$results[] = $fakemock->fill(MyDto::class, $a%3==0 ?? 'first');
}
Now, check your results. This behavior is similar to Symfony's validation groups.
If no guess is possible and you haven't mapped any particular Faker's type, FakeMock tries to guess type according to phpDoc variable type:
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock()
*/
class DocDTO {
/**
* @var float
* @FakeMockField()
*/
public $field;
}
$f = new FakeMock();
$obj = new DocDTO();
$data = $f->fill($obj);
var_dump($data->field); // eg. 1.24422
FakeMock relies on PropertyAccess component so different kinds of DTOs are supported, even Doctrine entities. You can leave an object with exposed public fields but also encapsulate data via setters and getters:
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock()
*/
class EncapsulatedDTO
{
/**
* @FakeMockField();
*/
protected $field;
public function getField()
{
return $this->field;
}
public function setField($field)
{
$this->field = $field;
}
}
And this will just work.
If your project is using Symfony's validate component, it's possible to utilize validation rules to tell the FakeMock how generate fields contents. For example:
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
use Symfony\Component\Validator\Constraints as Assert;
/**
* @FakeMock()
*/
class ValidatedDTO {
/**
* @FakeMockField()
* @Assert\Email()
*/
public $email;
}
and calling fill
method against this object will produce fake e-mail address on $email
field.
Generators:
Assert | Support status | Description |
---|---|---|
All | unsupported | |
Bic | supported | Swift BIC code |
Blank | supported | nullifies field |
Callback | unsupported | |
CardScheme | partial-support | generates a valid credit card number — currently only visa , mastercard and amex are supported |
Choice | supported | returns a value based on choices — supported are both single and multiple |
Collection | unsupported | |
Count | unsupported | |
Country | supported | generates a country code |
Currency | supported | currency code |
Date | partial-supported | generates a date, currently according to DATE_ATOM format |
DateTime | partial-supported | generates a date with time, currently: ISO format |
supported | generates a valid e-mail address | |
Expression | unsupported | |
File | unsupported | |
Iban | supported | generates an IBAN account number |
Image | supported | generates a SplFileObject with image of specified dimensions |
Ip | supported | generates an IPv4/v6 address |
Isbn | supported | generates an ISBN |
IsFalse | supported | returns false to field |
IsNull | supported | nullifies field |
Issn | partial-support | only single hard-coded ISSN number |
IsTrue | supported | returns true to field |
Language | supported | generates a string with language code |
Locale | supported | generates a locale string |
Luhn | partial-support | generates a credit card number for LUHN algorithm validation |
NotBlank | supported | checks whether field is not empty |
NotNull | supported | field is not null |
Regex | supported | generates a string that matches pattern |
Time | partial-supported | generates a time with H:i:s format |
Type | unsupported | |
UniqueEntity | unsupported | |
Url | supported | generates a valid URL |
UserPassword | unsupported | |
Uuid | supported | generates an UUID |
Valid | unsupported |
Decorators/conditionals:
Assert | support | description |
---|---|---|
EqualTo | supported | equalizes value to specified literal or propertyPath field value |
GreaterThan | supported | checks if generated value matches lower boundary (not inclusive) |
GreaterThanOrEqual | supported | checks if generated value matches lower boundary (inclusive) |
IdenticalTo | partial-support | similar to EqualTo but also checks type, currently: alias to EqualTo |
Length | supported | generates a string between min-max length boundary |
LessThan | supported | checks if generated value matches upper boundary (not inclusive) |
LessThanOrEqual | supported | checks if generated value matches upper boundary (inclusive) |
NotEqualTo | supported | makes sure that field's value is different from literal or propertyPath field value |
NotIdenticalTo | partial-support | similar to NotEqualTo but also checks type, currently: alias to NotEqualTo |
Range | supported | generates a number within specified boundaries |
FakeMock is smart enough to guess what you want to get — asserts are also decorated against specified phpDoc type, for example if you specify LessThan
constraint and @var float
, you get float value and so on. This feature is useful when you need a DateTimeInterface
in string:
/**
* @FakeMock()
* @Assert\DateTime()
* @var string
*/
FakeMock is a library with fair amount of tests so you don't need to bother if you want to make a contribution and concerned your code will mess up something.
Modular architecture allows to enhance and extend functionality. The main entrypoint is a FakeMock
class which needs three elements:
Metadata\FactoryInterface
— builds some information on fields metadata, eg. if it should be processed, what rules are specified and so on,GeneratorChainInterface
— maintains a list of field-data generators,DecoratorChainInterface
— holds a list of decorators which can be used to modify generated value according to various rules, eg. convertDateTimeInterface
to string.
Almost all modules could be overrided thanks to passing the dependencies mostly by interfaces or constructor arguments. So feel free to play with all components.
Generating of data step-by-step:
- Create a
FakeMock
instance with specified object/FQCN to generate (if FQCN, instantiate silently), - Pass object to
Metadata\FactoryInterface
in order to get main object configuration, - If object is configured, iterate over object properties, create
FieldMetadata
merging some configuration variables with object configuration and check if group is specified and if it should be processed, - Tell
GeneratorChainInterface
togetValueForField
. Available adapters are executed one-by-one until one of them returns non-null value, - Run
DecoratorChainInterface
withgetDecoratedValue
— mostly, they are all ran one-by-one except currently processed returnsfalse
which breaks the chain, - Set generated value by accessor.
Default generator chain:
TypedGenerator
— handles two cases:value
orregex
. Nothing less, nothing more,RecursiveGenerator
— if variable class has FQCN specified in phpDoc, it's processed unlessrecursive
field flag is set tofalse
,- If package
symfony/validator
is installed and available,AssertGenerator
is being checked against, FakerGenerator
— provides methods for generating specified Faker's generator or guess field content byNameGuesser
,PhpDocGenerator
— generates data according to the property type,LastResortGenerator
— if everything above fails, generates simple name as string.
Default decorators chain:
AssertDecorator
— restrict values to validation rules — its behavior is controlled bysatisfyAssertsConditions
field configuration,PhpDocDecorator
— converts values types.
This is a „skeleton” of the steps required to do something more complicated within this library. For example, we want to use mapped interfaces/abstract on DTOs. Assume structure:
interface SomeDTOInterface {
}
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock()
*/
class InnerDTO implements SomeDTOInterface {
/**
* @FakeMockField()
*/
public $field;
}
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock()
*/
class MainDTO {
/**
* @FakeMockField()
* @var SomeDTOInterface
*/
public $nested;
}
Running basic FakeMock scenario will produce nothing — $nested
is null
. We have to tell the library, what object should we map to desired interface.
$generators = GeneratorChain::getDefaultGeneratorsSet();
foreach($generators as $g)
{
if( $g instanceof RecursiveGenerator::class )
{
$g->addClassMapping(SomeDTOInterface::class, InnerDTO::class);
}
}
$generatorChain = new GeneratorChain($generators);
$fakemock = new FakeMock(null, $generatorChain);
$mainDto = new MainDto();
$result = $fakemock->fill($mainDto);
Of course, you also can map interfaces using annotations on the global and/or local scope:
use Er1z\FakeMock\Annotations\FakeMock as FakeMock;
use Er1z\FakeMock\Annotations\FakeMockField as FakeMockField;
/**
* @FakeMock(classMappings={"Namespace\SomeDTOInterface"=>"Some\Other\Class"})
*/
class MainDTO {
/**
* @FakeMockField()
* @var SomeDTOInterface
*/
public $nested;
/**
* @FakeMockField("mapClass"="Some\Other\Class")
* @var SomeDTOInterface
*/
public $secondNested;
}
0.3.1
- Fixed: value retrieval to PropertyInfo-based method
0.3
- New: option to specify Faker's locale and Faker Generator Registry
0.2.1
- Fixed: correct asserts group processing
0.2
- New: recursive fields processing
0.1
- First public version