Field Type API and best practices

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1 Field Type API & best practices=20
- 1.1 Public API interaction=20
  - 1.1.1 FieldDefinition handling
  - 1.1.2 Value handling
  - 1.1.3 Storage conversion
- 1.2 Searching=20
  - 1.2.1 Search Field Values
  - 1.2.2 Search Field Types
  - 1.2.3 Configuring Solr
- 1.3 Storing external data
- 1.4 Legacy Storage conversion=20
  - 1.4.1 Registering a converter
- 1.5 REST API interaction=20
  - 1.5.1 Extension points
- 1.6 Best practices=20
  - 1.6.1 Gateway based Storage
  - 1.6.2 Settings schema
  - 1.6.3 Validator schema
- 1.7 Registering a FieldType
- 1.8 Templating
- 1.9 Testing=20
  - 1.9.1 Persistence SPI
  - 1.9.2 Public API

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Related documentation:

FieldType template<= /li>
Register FieldType<= /li>
Set= tings schema and allowed validators

Fiel= d Type API & best practices

The eZ Publish CMS can support arbitrary data to be stored in the fields= of a content item. In order to support custom data, besides the standard d= ata types, a developer needs to create a custom FieldType.=

The implementation of a custom FieldType is done based on the FieldType = SPI and its interfaces. These can be found under eZ\Publish\SPI\Field= Type.

In order to provide custom functionality for a FieldType, the SPI intera= cts with multiple layers of the eZ Publish architecture, as shown in the fo= llowing diagram:

On the top layer, the FieldType needs to provide conversion from and to = a simple PHP hash value to support the REST API. The generated hash value m= ay only consist of scalar values and hashes. It must not contain objects or= arrays with numerical indexes that aren't sequential and/or don't start wi= th zero.

Below that, the FieldType must support the Public API implementation (ak= a Business Layer), regarding:

Settings definition for FieldDefinitions
Value creation and validation
Communication with the Persistence SPI

On the bottom level, a FieldType can additionally hook into the Persiste= nce SPI, in order to store data from a FieldValue in an external service. N= ote that all non-standard eZ Publish database tables (e.g. ezurl=) are also considered "external storage" from now on.

The following sequence diagram visualizes the process of creating a new = Content across all layers, especially focused on the interacti= on with a FieldType.

In the next lines/pages, this document explains how to implement a custo= m FieldType based on the SPI and what is expected from it. As a code exampl= e, please refer to the Url FieldType, which has been implemented as a refer= ence.

Public API int= eraction

The interaction with the Public API is done through the interface = eZ\Publish\SPI\FieldType\FieldType. A custom FieldType must provide = an implementation of this interface. In addition, it is considered best pra= ctice to provide a value object class for storing the custom field value pr= ovided by the FieldType.

FieldDefini= tion handling

In order to make use of a custom FieldType, the user must apply it in a = eZ\Publish\API\Repository\Values\ContentType\FieldDefinition o= f a custom ContentType. The user may in addition provide settings for the F= ieldType and a validator configuration. Since the Public API cannot k= now anything about these, their handling is delegated to the FieldType itse= lf through the following methods:

getFieldTypeIdentifier()

Returns a unique identifier for the custo= m FieldType, which is used to assign the type to a FieldDefinition. By conv= ention for the returned type identifier string should be prefixed by a uniq= ue shortcut for the vendor (e.g. ez for eZ Systems).

getSettingsSchema()

Using this method, the Public API retriev= es a schema for the field type settings. A typical setting would e.g. be a = default value. The settings structure defined by this schema is stored in t= he FieldDefinition. Since it is not possible to define a gener= ic format for such a schema, the FieldType is free to return any serializab= le data structure from this method.

getValidatorConfigurationSchema()

In addition to normal settings, the Field= Type should provide a schema settings for it's validation process. The= schema describes, what kind of validation can be performed by the FieldTyp= e and which settings the user can specify to these validation methods. For = example, the ezstring type can validate minimum and maximum le= ngth of the string. It therefore provides a schema to indicate to the user = that he might specify the corresponding restrictions, when creating a FieldDefinition with this type. Again, the schema does not underly = any regulations, except for that it must be serializable.

validateFieldSettings()

Before the Public API stores settings for= the FieldType in a FieldDefinition, the type is = asked to validate the settings (which were provided by the user). As a resu= lt, the FieldType must return if the given settings comply to = the schema defined by getSettingsSchema(). validateValid= atorConfiguration() Analog to validateFieldSettings(), = this method verifies that the given validator configuration complies to the= schema provided by getValidatorConfigurationSchema().

It is important to note that while the schema definitions of the F= ieldType maybe both be of arbitrary, serializable format, it is high= ly recommended to use a simple hash structure. It is highly recommended to = follow the Best pra= ctices in order to create future proof schemas.

Note: Since it is not possible to enforce a schema form= at, the code using a specific FieldType must basically know al= l FieldTypes it deals with.

This will also apply to all user interfaces and the REST API, which ther= efore must provide extension points to register handling code for custom FieldType. These extensions are not defined, yet.

Value handling

A field type needs to deal with the custom value format provided by it. = In order for the public API to work properly, it delegates working with suc= h custom field values to the corresponding FieldType. The SPI\FieldTy= pe\FieldType interface therefore provides the following methods:

acceptValue()

This method is responsible for accepting = and converting user input for the field. It checks the input structure it a= ccepts and might build and return a different structure holding the data. A= n example would be, that the user just provides an HTTP link as a string, w= hich is converted to the value object of the Url FieldType. Unlike the FieldType\Value constructor, it is perfectly acceptable to make th= is method aware of multiple input types (object or primitive, for instance)= .

Note: The method must assert structural c= onsistency of the value, but must not validate plausibility of the value.

getEmptyValue()

Through settings, the FieldType can specify, that the user may define a default value for the Fie= ld of the type. If no such default is provided by the user, the FieldType itself is asked for an "empty value" as the final fallba= ck. The value chain for a specific field is therefore like this, when a Field of the FieldType is filled out:

1. Is a value provided by the filling user?
2. Is a default provided by the FieldDefinition?
3. Take the empty value provided by the FieldType

validate()

In contrast to acceptValue()= this method validates the plausibility of the given value, based on the FieldType settings and validator configuration, stored in the co= rresponding FieldDefinition.

Storage conversion

As said above, the value format of a FieldType is free form= . However, in order to make eZ Publish store the value in it's database, it= must comply to certain rules at storage time. To not restrict the value it= self, a FieldValue must be converted to the storage specific f= ormat used by the Persistence SPI: eZ\Publish\SPI\Persistence\Content= \FieldValue. After restoring a Field of FieldType, the = conversion must be undone. The following methods of the FieldType are responsible for that:


toPersistenceValue()

This method receives the value of a Field of FieldType and must return an SPI FieldV= alue, which can be stored.

fromPersistenceValue()

As the counterpart, this method receives = an SPI FieldValue and must reconstruct the original value of t= he Field from it.

The SPI FieldValue struct has several properties, which might be used by= the FieldType as follows:

$data

The data to be stored in the eZ Publish d= atabase. This may either be a scalar value, a hash map or a simple, seriali= zable object.

$externalData

The arbitrary data stored in this field w= ill not be touched by any of the eZ Publish components directly, but will b= e hold available for Storing external data.

$sortKey

An value which can be used to sort = Content by the field.

Note: TBD: Where will = you register the Indexable implementations?

Searching

Fields, or a custom field type, might contain or maintain data which is = relevant for user searches. To make the search engine aware of the data in = your field type you need to implement an additional interface and register = the implementation.

If your field type does not maintain any data, which should be available= to search engines, feel free to just ignore this section.

The eZ\Publish\SPI\FieldType\Indexable defines two methods,= which are required to be implemented, if the field type provides data rele= vant to search engines. The interface defines two methods for this:

getIndexData( Field $field )

This method is supposed to return the act= ual index data for the provided eZ\Publish\SPI\Persistence\Content\Fi= eld. The index data consists of an array of eZ\Publish\SPI\Per= sistence\Content\Search\Field instances. They are described below in= further detail.

getIndexDefinition()

To be able to query data properly an inde= xable field type also is required to return search specification. You must = return a hash map of eZ\Publish\SPI\Persistence\Content\Search\FieldT= ype instances from this method, which could look like:

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array(
    'url'  =3D> new Search\FieldType\StringField(),
    'text' =3D> new Search\FieldType\StringField(),
)

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This example from the Ur= l field type shows that the field type will always return two indexa= ble values, both strings. They have the names url and te= xt respectively.

Search Field Valu= es

The search field values, returned by the getIndexData metho= d are simple value objects consisting of the following properties:

$name

The name of the field

$value

The value of the field

$type

An eZ\Publish\SPI\Persistence\= Content\Search\FieldType instance, describing the type information o= f the field.

Search Field Types=

There are bunch of available search field types, which are automagically= handled by our Search backend configuration. When using those there is no = requirement to adapt , for example, the Solr configuration in any way. You = can always use custom field types, though, but these might require re-confi= guration of the search backend. For Solr this would mean adapting the schem= a.xml.

The default available search field types are:

StringField.php

Standard string values. Will also be quer= ies by full text searches.

TextField.php

Standard text values. Will be queried by = full text searches. Configured text normalizations in the search backend ap= ply.

BooleanField.php

Boolean values.

DateField.php

Date field. Can be used for date range qu= eries.

FloatField.php

Field for floating point numbers.

IntegerField.php

Field for integer numbers.

PriceField.php

Field for price values. Currency conversi= on might be applied by the search backends. Might require careful configura= tion.

IdentifierField.php

Field used for IDs. Basically acts like t= he string field, but will not be queried by fulltext searches

CustomField.php

Custom field, for custom search data type= s. Will probably require additional configuration in the search backend.

Configuring Solr

As mentioned before, if you are using the standard type definitions there is no need to configure the search backend in any way. E= verything will work fine. The field definitions are handled using dyn= amicField definitions in Solr, for example.

If you want to configure the handling of your field, you can always add = a special field definition the Solr schema.xml. The field type= names, which are used by the Solr search backend look like this for fields= : <content_type_identifier>/<field_ident= ifier>/<search_field_name>_<type>. You can, of= course define custom dynamicField definitions to match, for e= xample, on your custom _<type> definition.

You could also define a custom field definition dedicatedly for certain = fields, like for the name field in an article:

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<field name=3D"article/name/value_s" type=3D"string" indexe=
d=3D"true" stored=3D"true" required=3D"false"/>

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If you want to learn more about the Solr implementation and detailed inf= ormation about configuring it, check out the Solr Search Service Implementation Notes.

Storing externa= l data

A FieldType may store arbitrary data in external data sourc= es and is in fact encouraged to do so. External storages can be e.g. a web = service, a file in the file system, another database or even the eZ Publish= database itself (in form of a non-standard table). In order to perform thi= s task, the FieldType will interact with the Persistence SPI, = which can be found in eZ\Publish\SPI\Persistence, through the = eZ\Publish\SPI\FieldType\FieldStorage interface.

Whenever the internal storage of a Content item that includes a Field of= the FieldType is accessed, one of the following methods is ca= lled to also access the external data:

hasFieldData()

Returns if the FieldType sto= res extrnal data at all.

storeFieldData()

Called right before a Field = of FieldType is stored. The method should perform the storing = of $externalData. The method must return true, if= the call manipulated internal data of the given Fie= ld, so that it is updated in the internal database.

getFieldData()

Is called after a Field has = been restored from the database in order to restore $externalData.


deleteFieldData()

Must delete external data for the given <= code>Field, if exists.

getIndexData()

See search service

Each of the above methods receive a $context array, which contains infor= mation on the underlying storage and the environment. This context can be u= sed to store data in the eZ Publish data storage, but outside of the normal= structures (e.g. a custom table in an SQL database). Note that the FieldTy= pe must take care on it's own for being compliant to different data sources= and that 3rd parties can extend the data source support easily. For more i= nformation about this, take a look at the Best practices section.

Legacy Stor= age conversion

The FieldType system is designed for future storage back en= ds of eZ Publish. However, the old database schema (Legacy Storage= ) must still be supported. Since this database cannot store arbitrary value= information as provided by a FieldType, another conversion st= ep must take place if the Legacy Storage is used.

The conversion takes place through the interface eZ\Publish\Core\P= ersistence\Legacy\Content\FieldValue\Converter, which you must provi= de an implementation of with your FieldType. The following met= hods are contained in the interface:

toStorageValue()

Converts a Persistence Value= into a legacy storage specific value.

fromStorageValue()

Converts the other way around.

toStorageFieldDefinition()

Converts a Persistence FieldDefinit= ion to a storage specific one.

fromStorageFieldDefinition

Converts the other way around.

getIndexColumn()

Returns the storage column which is used = for indexing.

Registering a= converter

The registration of a Converter currently works through the= $config parameter of eZ\Publish\Core\Persistence\Legacy= \Handler. See the class documentation for further details.

For global service container integration, see=20 Register FieldType.

REST API interac= tion

When REST API is used, conversion needs to be done for FieldType values, settings and validator configurations. These are converted to= and from a simple hash format that can be encoded in REST payload (typical= ly XML or JSON). As conversion needs to be done both when transmitting and = receiving data through REST, FieldType implements following pa= irs of methods:


toHash()
Converts FieldType Value into a plain has=
h format.
fromHash()
Converts the other way around.
fieldSettingsToHash()
Converts FieldType settings to a simple h=
ash format.
fieldSettingsFromHash()
Converts the other way around.
validatorConfigurationToHash()
Converts FieldType validator configuratio=
n to a simple hash format.
validatorConfigurationFromHash()
Converts the other way around.
Extension points
Some FieldTypes will require additional processing, for exa=
mple a FieldType storing a binary file, or one having more com=
plex settings or validator configuration. For this purpose specific impleme=
ntations of an abstract class eZ\Publish\Core\REST\Common\FieldTypePr=
ocessor are used. This class provides following methods:
preProcessValueHash()
Performs manipulations on a received valu=
e hash, so that it conforms to the format expected by the fromHash()<=
/code> method described above.

postProcessValueHash()
Performs manipulations on a outgoing valu=
e hash, previously generated by the toHash() method described =
above.
preProcessFieldSettingsHash()
Performs manipulations on a received sett=
ings hash, so that it conforms to the format expected by the fieldSet=
tingsFromHash() method described above.
postProcessFieldSettingsHash()
Performs manipulations on a outgoing sett=
ings hash, previously generated by the fieldSettingsToHash() m=
ethod described above.
preProcessValidatorConfigurationHash()
Performs manipulations on a received vali=
dator configuration hash, so that it conforms to the format expected by the=
 validatorConfigurationFromHash() method described above.
postProcessValidatorConfigurationHash()
Performs manipulations on a outgoing vali=
dator configuration hash, previously generated by the validatorConfig=
urationToHash() method described above.
Base implementations of these methods simply return the given hash, so y=
ou can implement only the methods your FieldType requires. Som=
e FieldTypes coming with the eZ Publish installation already i=
mplement processors and you are encouraged to take a look at them.
For details on registering a FieldType processor, see Regis=
ter FieldType page.


Best practices
In this chapter, best practices for implementing a custom FieldTyp=
e are collected. We highly encourage following these practices to be=
 future proof.


Gateway based S=
torage
In order to allow the usage of a FieldType that uses extern=
al data with different data storages, it is recommended to implement a gate=
way infrastructure and a registry for the gateways. In order to ease this a=
ction, the Core implementation of FieldType s provides corresp=
onding interfaces and base classes. These can also be used for custom field=
 types.
The interface eZ\Publish\Core\FieldType\StorageGateway is i=
mplemented by gateways, in order to be handled correctly by the registry. I=
t has only a single method:
setConnection()
The registry mechanism uses this method t=
o set the SPI storage connection (e.g. the database connection to the Legac=
y Storage database) into the gateway, which might be used to store external=
 data. The connection is retrieved from the $context array&nbs=
p; automatically by the registry.
Note that the Gateway implementation itself must take care about validat=
ing that it received a usable connection. If it did not, it should throw a =
RuntimeException.
The registry mechanism is realized as a base class for FieldStorag=
e implementations: eZ\Publish\Core\FieldType\GatewayBasedStora=
ge. For managing StorageGateway s, the following method=
s are already implemented in the base class:
addGateway()

Allows the registration of additional StorageGateways from the outside. Furthermore, a hash map of StorageGateways can be given to the constructor for basic initiali= zation. This array should orginate from the Dependency Injection mechanism.=

getGateway()

This protected method is used by the impl= ementation to retrieve the correct StorageGateway for the curr= ent context.

As a reference for the usage of these infrastructure, the Keyword, Url a= nd User types can be examined.

Settings schema

It is recommended to use a simple hash map format for the settings schem= a retured by eZ\Publish\SPI\FieldType\FieldType::getSet= tingsSchema(), which follows these rules:

The key of the hash map identifies a setting (e.g. default= )
Its value is a hash map (2nd level) describing the setting using
- type to identify the setting type (e.g. int o= r string)
- default containing the default setting value

An example schema could look like this:

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array(
    'backupData' =3D> array(
        'type' =3D> 'bool',
        'default' =3D> false
    ),
    'defaultValue' =3D> array(
        'type' =3D> 'string',
        'default' =3D> 'Sindelfingen'
    )
);

=20

Validator schema

The schema for validator configuration should have a similar format than= the settings schema has, except it has an additional level, to group setti= ngs for a certain validation mechanism:

The key on the 1st level is a string, identifying a validator
Assigned to that is a hash map (2nd level) of settings
This hash map has a string key for each setting of the validator
It is assigned to a 3rd level hashmap, the setting description
This hash map should have the same format as for normal settings

For example, for the ezstring type, the validator schema co= uld be:

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array(
    'stringLength' =3D> array(
        'minStringLength' =3D> array(
            'type'    =3D> 'int',
            'default' =3D> 0,
        ),
        'maxStringLength' =3D> array(
            'type'    =3D> 'int'
            'default' =3D> null,
        )
    ),
);

=20

Registering a= FieldType

To register a FieldType, see Register FieldType.

To be integrated in unit and integration tests, FieldTypes need to be re= gistered through the service.ini in eZ/Pu= blish/Core/settings.

Templating

A FieldType always need a piece of template to be correctly displayed. S= ee FieldType template<= /a>.

Testing

FieldType s should be integration tested on 1 different lev= els:

Their integration with the Persistence SPI
Their integration with the Public API

For both test environments, infrastructure is already in place, so that = you can easily implement the required tests for your custom FieldType=

Persistence SPI

This type of integration test ensures, that a FieldType stores its data = properly on basis of different Persistence SPI implementations.

Note: By now, only the Legacy Storage implementation exist= s.

The integration tests with the Persistence SPI can be found in eZ\= Publish\SPI\Tests\FieldType. In order to implement a test for your c= ustom FieldType, you need to extend the common base class eZ\Publish\SPI\Tests\FieldType\BaseIntegrationTest and implement i= t's abstract methods. As a reference the KeywordIntegrationTest, UrlIntegrationTest and UserIntegrationTest can= deal.


Running the test is fairly simple: Just specify the global phpunit=
.xml for PHPUnit configuration and make it execute a single test or =
a directory of tests, for example:

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$ phpunit -c phpunit.xml eZ/Publish/SPI/Tests/FieldType=20


in order to run all FieldType tests.


Public API
On a second level, the interaction between an implementation of the Publ=
ic API (aka the Business Layer) and the FieldType is tested. Again, there i=
s a common base class as the infrastructural basis for such tests, which re=
sides in eZ\Publish\API\Repository\Tests\FieldType\BaseIntegrationTes=
t.

 



Note that the In-Memory stubs for the Public API integration test suite,=
 do not perform actual FieldType calls, but mainly emulate the behavior of =
a FieldType for simplicity reasons.
If your FieldType needs to convert data between storeFieldData() and getFieldData(), you need to implement a eZ\Pub=
lish\API\Repository\Tests\Stubs\PseudoExternalStorage in addition, w=
hich performs this task. Running the tests against the Business Layer imple=
mentation of the Public API is not affected by this.




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