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    Documentation for the Axiell Schema Project

    Documentation for the Axiell Schema Project

    Overview

    The Axiell Schema Project provides a small library for validating JSON documents against a JSON Schema. The library conforms to the JSON Schema Draft #7 specification.

    The library is based on a few simple principles, namely:

    • referential transparency. Each of the methods in the library is referentially transparent, that is if the method is called with the same arguments it will always return the same value and the method does not have any side effect (e.g. update globals, change the operating environment, etc).
    • minimal functionality. The library is designed to be small incorporating a small number of dependencies. The number of methods associated with a class/object is restricted to those that provide a base level of functionality.
    • support multiple JSON libraries. It should be possible to use the library with any number of different JSON library packages (e.g json4s, jackson, etc). The current library only supports json4s, but a facade approach should be added to hide individual library implementations.
    • generic "format" implementations. The JSON Schema specification mandates a standard set of "format" types that can be used to validate string values. Each "format" type is implemented as a class with the components of the type available.
    • full error handling. Error resulting from the validation process are returned as a list of validation failures. All possible errors should be returned for a single call, eliminating the need to fix a single error and then recall a method.

    Package structure

    The com.axiell.schema packages consists of a number of utilities, where each utility provides a single piece of functionality. Since the library validates JSON structures two main components are provided. The first component (com.axiell.schema.Schema) allows JSON documents conforming to the JSON Schema specification to be read. Once read a resolution process may be required to resolve any external references defined in the document.

    The second component (com.axiell.schema.SchemaValidator) takes a resolved schema and allows JSON documents to be validated against that schema. When creating a validator it is also possible to incorporate your own "format" types for validation.

    A set of auxiliary components implement parsers for many of the "format" types and can be used independently of the validator itself.

    Notable utilities are:

    • Schema wrapper around a JSON document containing the document itself, its $id value and resolution mappings for all $id and $ref directives.
    • SchemaValidator takes a Schema and an optional handler for "format" types and provides a validation method for arbitrary JSON documents.
    • Implicits implements implicit methods and classes used to convert one class to another or pimp methods onto existing classes (e.g. same() method to JValue class).
    • various auxiliary classes for handling "format" types including:

    Dependencies

    The list of dependencies are:

    • Axiell Util Library provides error handling classes and methods that allow multilingual error messages to be generated.
    • JSON for Scala Library provides mthods for dealing with JSON structures. The routines work around an AST (Abstract Syntax Tree) used to represent a JSON document.
    • Cats Functional Programming Library provides various traits, classes and methods that simplify functional programming in Scala. Also provides the Validated class used to return lists of validation errors.
    Definition Classes
    root
  • package com
    Definition Classes
    root
  • package axiell
    Definition Classes
    com
  • package schema

    Contains types used by the library.

    Contains types used by the library.

    In order to simplify method signatures a series of types are defined. The types are used throughout the library.

    Definition Classes
    axiell
  • package instances
    Definition Classes
    schema
  • package syntax
    Definition Classes
    schema
  • Assertions
  • Context
  • EmailAddress
  • Formats
  • Hostname
  • Implicits
  • Ipv4Address
  • Ipv6Address
  • JsonPointer
  • RelativeJsonPointer
  • Resolver
  • Schema
  • SchemaValidator
  • SchemaWalker
  • Validator

object Formats

Implements the standard set of string based format types.

JSON Schema Draft #7 defines a format property for values of type string. The format allows complex types, like date, time, etc to be checked even though the JSON value itself is still a string. Each of the required formats is available with implementations for most types.

Support is not provided for:

  • iri
  • irireference
  • uritemplate

All other required formats are implemented according to the relevant RFC. The validation of the format property is performed by a partial function. The type is:

PartialFunction[(String, String), Option[Error]]

The input tuple consists of the format name and the value. For example:

("email", "fred.smith@axample.com")

The return value should be None if validation passes otherwise an Error wrapped in a Some indicating what was the error should be returned. The format method is a partial function that handles all the types defined in JSON Schema Draft #7.

Source
Formats.scala
See also

"JSON Schema Draft #7"

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  9. def formats: PartialFunction[(String, String), Option[Error]]

    Partial function implementing validation for all format types defined in JSON Schema Draft #7.

    Partial function implementing validation for all format types defined in JSON Schema Draft #7. The final entry in the partial function returns None indicating the value is valid. Hence if the format is not handled by this partial function then the value is assumed to be valid.

    returns

    partial function suitable for handling format types defined in JSON Schema Draft #7.

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