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Package data-validator
Short Description Library for json schemas validation
License proprietary
Informations about the package data-validator
Json Data Validator
Description : Library for data validation based on data schemas
This project is licensed under the terms of the MIT license.
Interfaces and classes
DataType
Allows to encapsulate the data into an object and format it in order to be validated using a DataSchema.
JsonData
JsonData::format()
uses json_decode()
to format json string into php array.
DataRule
Allows to validate [DataType]() based on rule specifications (is the data optional ?, is the data allowed to be...).
JsonRule
JsonRule can validate :
Type/Check | Null | Length | Pattern | Min/Max | Enum | Date format | Empty |
---|---|---|---|---|---|---|---|
String | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | |
Character | :white_check_mark: | :white_check_mark: | :white_check_mark: | ||||
Number | :white_check_mark: | :white_check_mark: | :white_check_mark: | ||||
Integer | :white_check_mark: | :white_check_mark: | :white_check_mark: | ||||
Float | :white_check_mark: | :white_check_mark: | :white_check_mark: | ||||
Boolean | |||||||
Typed List | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
DataSchema
DataSchema is the library main class. It allows to validate DataType based on sub-schemas and DataRule.
DataSchema::validate()
method allows this validation. If DataSchema::validate()
does not validate the DataType it throws an [InvalidDataException]().
JsonSchema
JsonSchema implements DataSchema and validates JsonData using JsonRule.
How it works
See tests for examples
A JsonSchema has a type : object
or list
.
Objects are composed of rules and "child" schemas if needed.
This is a schema definition :
Schemas are just php arrays passe to JsonSchema::setSchema()
method.
This schema is composed of 3 elements :
-
a rule
success
which :- is a boolean
- can not be null
- is not optional
-
a rule
error
which :- is a string
- can be null
- is not optional
- a "child" schema
user
which :- is an object and therefor is represented by a schema which contains 2 elements : a
name
(string) and anage
(integer) - can be null
- is optional
- is an object and therefor is represented by a schema which contains 2 elements : a
When a data unit is being validated using this schema by calling the JsonSchema::validate()
method, the schema will check recursively if the data respects the rules and the "child" schemas.
If the data has :
- a boolean element
success
- a null or string element
error
- an optionally, null or object element
user
which must have :- a string element
name
- an integer element
age
- a string element
This data is valid :
This one is not :
As said earlier, rules can be used to validate length or data pattern.
This schema uses the pattern validation on the name
element and the length validation on the geolocation
element :
When calling the JsonSchema::validate()
method, the schema will recursively check all the rule set and "child" schemas. If one rule or one "child" schema is invalid, JsonSchema::validate()
returns false
.
The "first level" schema is an object
typed schema. It could be changed but is not meant to.
Finally, if a "child" schema is typed as an object
, the schema will validate it as described above. If it's typed as a list
, the schema will simply check each element of the data as an object
type using the given "child" schema.
All versions of data-validator with dependencies
ext-json Version *