A [put your file type here]
schema validator using [put another file type here]
files.
At the moment, file type can be Json, Yaml, or XML. It can generate a documentation about the schema, or a XSD file (experimental).
The name comes from the fact that it was initially made to implement a pseudo-schema for Yaml files.
It is a standalone component:
To install via composer just do composer require romaricdrigon/metayaml
You have to create a MetaYaml object, and then pass it both the schema and your data as multidimensional php arrays:
use RomaricDrigon\MetaYaml\MetaYaml;
// create object, load schema from an array
$schema = new MetaYaml($schema);
/*
you can optionally validate the schema
it can take some time (up to a second for a few hundred lines)
so do it only once, and maybe only in development!
*/
$schema->validateSchema(); // return true or throw an exception
// you could also have done this at init
$schema = new MetaYaml($schema, true); // will load AND validate the schema
// finally, validate your data array according to the schema
$schema->validate($data); // return true or throw an exception
You can use any of the provided loaders to obtain these arrays (yep, you can validate XML using a schema from an Yaml file!).
Some loader examples:
use RomaricDrigon\MetaYaml\MetaYaml;
use RomaricDrigon\MetaYaml\Loader\YamlLoader;
use RomaricDrigon\MetaYaml\Loader\XmlLoader; // JsonLoader is already available
// create one loader object
$loader = new JsonLoader(); // Json (will use php json_decode)
$loader = new YamlLoader(); // Yaml using Symfony Yaml component
$loader = new XmlLoader(); // Xml (using php SimpleXml)
// the usage is the same then
$array = $loader->load('SOME STRING...');
// or you can load from a file
$array = $loader->loadFromFile('path/to/file');
A schema file will define the array structure (which elements are allowed, where), some attributes (required, can be empty...) and the possible values for these elements (or their type).
Here's a simple example of a schema, using Yaml syntax:
root: # root is always required (note no prefix here)
_type: array # each element must always have a '_type'
_children: # array nodes have a '_children' node, defining their children
flowers:
_type: array
_required: true # optional, default false
_children:
rose:
_required: true
_type: text
violet:
_type: text
# -> only rose and violet are allowed children of flowers
And a valid Yaml file :
flowers:
rose: "a rose"
violet: "a violet flower"
We will continue with Yaml examples; if you're not familiar with the syntax, you may want to take a look at its Wikipedia page.
Of course the same structure is possible with Json or XML, because the core is the same. Take a look at examples in test/data/
folder.
A schema file must have a root
node, which will describe the first-level content.
You can optionally define a prefix
; by default it is _
(_type
, _required
...).
You have to define a partials
node if you want to use this feature (learn more about it below).
A basic schema file:
root:
# here put the elements who will be in the file
# note that root can have any type: an array, a number, a prototype...
prefix: my_ # so it's gonna be 'my_type', 'my_required', 'my_children'...
partials:
block:
# here I define a partial called block
Each node in the schema must have a _type
attribute.
Here I define a node called paragraph
whose content is some text:
paragraph:
_type: text
Those types are available:
text
: scalar valuenumber
: numeric valueboolean
: boolean valuepattern
: check if the value matches the regular expression provided in _pattern
, which is a PCRE regexenum
: enumeration ; list accepted values in _values
nodearray
: array; define children in a _children node; array's children must have determined named keys; any extra key will cause an errorprototype
: define a repetition of items whose name/index is not important. You must give children's type in _prototype
node.choice
: child node can be any of the nodes provided in _choices
. Keys in _choices
array are not important (as long as they are unique). In each choice, it's best to put the discriminating field in first.partial
: "shortcut" to a block described in partials
root node. Provide partial name in _partial
You can specify additional attributes:
_required
: this node must always be defined (by default false)_not_empty
for text, number and array nodes: they can't be empty (by default false). Respective empty values are ''
, 0
(as a string, an integer or a float), array()
. To test for null
values, use _required
instead._strict
with text, number, boolean and enum will enforce a strict type check (respectively, with a string, an integer or a float, a boolean, any of these values). Be careful when using these with a parser which may not be type-aware (such as the XML one; Yaml and json should be ok)_description
: full-text description, cf. Documentation generator_ignore_extra_keys
: the node can contain children whose keys are not listed in _children
; they'll be ignoredmin_items
: the prototype node should contain at least 'min' elementsmax_items
: the opposite, the max number of elements in the prototype node (by default 200)Here's a comprehensive example:
root:
_type: array
_children:
SomeText:
_type: text
_not_empty: true # so !== ''
SomeEnum:
_type: enum
_values:
- windows
- mac
- linux
SomeNumber:
_type: number
_strict: true
SomeBool:
_type: boolean
SomePrototypeArray:
_type: prototype
_prototype:
_type: array
_children:
SomeOtherText:
_type: text
_is_required: true # can't be null
SomeParagraph:
_type: partial
_partial: aBlock # cf 'partials' below
SomeChoice:
_type: choice
_choices:
1:
_type: enum
_values:
- windows
- linux
2:
_type: number
# so our node must be either #1 or #2
SomeRegex:
_type: pattern
_pattern: /e/
partials:
aBlock:
_type: array
_children:
Line1:
_type: text
For more examples, look inside test/data
folder.
In each folder, you have an .yml file and its schema. There's also a XML example.
If you're curious about an advanced usage, you can check data/MetaSchema.json
: schema files are validated using this schema (an yep, the schema validates successfully itself!)
Each node can have a _description
attribute, containing some human-readable text.
You can retrieve the documentation about a node (its type, description, other attributes...) like this:
// it's recommended to validate the schema before reading documentation
$schema = new MetaYaml($schema, true);
// get documentation about root node
$schema->getDocumentationForNode();
// get documentation about a child node 'test' in an array 'a_test' under root
$schema->getDocumentationForNode(array('a_test', 'test'));
// finally, if you want to unfold (follow) all partials, set second argument to true
$schema->getDocumentationForNode(array('a_test', 'test'), true);
// watch out there's no loop inside partials!
It returns an associative array formatted like this:
array(
'name' => 'test', // name of current node, root for first node
'node' => array(
'_type' => 'array',
'_children' => ... // and so on
),
'prefix' => '_'
)
If the targeted node is inside a choice, the result will differ slightly:
array(
'name' => 'test', // name of current node, from the choice key in the schema
'node' => array(
'_is_choice' => 'true', // important: so we know next keys are choices
0 => array(
'_type' => 'array' // and so on, for first choice
),
1 => array(
'_type' => 'text' // and so on, for second choice
),
// ...
),
'prefix' => '_'
)
This behavior allow us to handle imbricated choices, without loosing data (you have an array level for each choice level, and you can check the flag _is_choice
)
If you pass an invalid path (e.g. no node with the name you gave exist), it will throw an exception.
In XML, you can store a value in a node within a child element, or using an attribute. This is not possible in an array; the only way is to use a child.
Thus, the following conventions are enforced by the XML loader:
_value
_key
attribute, which will be used thusLet's take an example:
<fleurs>
<roses couleur="rose">
<opera>une rose</opera>
<sauvage>
<des_bois>une autre rose</des_bois>
<des_sous_bois sauvage="oui">encore</des_sous_bois>
</sauvage>
</roses>
<tulipe>je vais disparaitre !</tulipe>
<tulipe>deuxieme tulipe</tulipe>
<fleur couleur="violette" sauvage="false" _key="violette">une violette</fleur>
</fleurs>
will give us this array:
array('fleurs' =>
'roses' => array(
'couleur' => 'rose',
'sauvage' => array(
'des_bois' => 'une autre rose',
'des_sous_bois' => array(
'sauvage' => 'oui',
'_value' => 'encore'
)
)
),
'tulipe' => 'deuxieme tulipe',
'violette' => array(
'couleur' => 'violette',
'sauvage' => 'false',
'_value' => 'une violette'
)
)
Please note this feature is still experimental!
MetaYaml can try to generate a XML Schema Definition from a MetaYaml schema. You may want to use this file to pre-validate XML input, or to use in another context (client-side...). The same conventions (cf. above) will be used.
Usage example :
use RomaricDrigon\MetaYaml\MetaYaml\XsdGenerator;
// create a XsdGenerator object (requires Php XMLWriter from libxml, enabled by default)
$generator = new XsdGenerator();
// $schema is the source schema, php array
// second parameter to soft-indent generated XML (default true)
$my_xsd_string = $generator->build($schema, true);
A few limitations, some relative to XML Schema, apply:
root
node must be an array
choice
node are not supportedpattern
may have a slightly different behavior due to implementations differencesprototype
children nodes type will not be validatedstrict
mode does not existsignore_extra_keys
attribute will cause all children nodes not to be validatedThe project is fully tested using atoum.
To launch tests, just run in a shell ./bin/test -d test
You may want to write your own loader, using anything else.
Take a look at any class in Loader/ folder
, it's pretty easy: you have to implement the LoaderInterface, and may want to extend Loader class (so you don't have to write loadFromFile()
).
Thanks to Riad Benguella and Julien Bianchi for their help & advice.