JSON::Validator - Validate data against a JSON schema
use JSON::Validator; my $jv = JSON::Validator->new; # Define a schema - http://json-schema.org/learn/miscellaneous-examples.html # You can also load schema from disk or web $jv->schema({ type => "object", required => ["firstName", "lastName"], properties => { firstName => {type => "string"}, lastName => {type => "string"}, age => {type => "integer", minimum => 0, description => "Age in years"} } }); # Validate your data my @errors = $jv->validate({firstName => "Jan Henning", lastName => "Thorsen", age => -42}); # Do something if any errors was found die "@errors" if @errors; # Use joi() to build the schema use JSON::Validator 'joi'; $jv->schema(joi->object->props({ firstName => joi->string->required, lastName => joi->string->required, age => joi->integer->min(0), })); # joi() can also validate directly my @errors = joi( {firstName => "Jan Henning", lastName => "Thorsen", age => -42}, joi->object->props({ firstName => joi->string->required, lastName => joi->string->required, age => joi->integer->min(0), }); );
JSON::Validator is a data structure validation library based around JSON Schema. This module can be used directly with a JSON schema or you can use the elegant DSL schema-builder JSON::Validator::Joi to define the schema programmatically.
JSON::Validator can load JSON schemas in multiple formats: Plain perl data structured (as shown in "SYNOPSIS"), JSON or YAML. The JSON parsing is done with Mojo::JSON, while YAML files requires YAML::PP or YAML::XS.
Here are some resources that are related to JSON schemas and validation:
http://json-schema.org/documentation.html
https://json-schema.org/understanding-json-schema/index.html
https://github.com/json-schema/json-schema/
This module comes with some JSON specifications bundled, so your application don't have to fetch those from the web. These specifications should be up to date, but please submit an issue if they are not.
Files referenced to an URL will automatically be cached if the first element in "cache_paths" is a writable directory. Note that the cache headers for the remote assets are not honored, so you will manually need to remove any cached file, should you need to refresh them.
To download and cache an online asset, do this:
JSON_VALIDATOR_CACHE_PATH=/some/writable/directory perl myapp.pl
Here is the list of the bundled specifications:
JSON schema, draft 4, 6, 7
Web page: http://json-schema.org
$ref: http://json-schema.org/draft-04/schema#, http://json-schema.org/draft-06/schema#, http://json-schema.org/draft-07/schema#.
$ref
JSON schema for JSONPatch files
Web page: http://jsonpatch.com
$ref: http://json.schemastore.org/json-patch#
Swagger / OpenAPI specification, version 2
Web page: https://openapis.org
$ref: http://swagger.io/v2/schema.json#
OpenAPI specification, version 3
$ref: https://spec.openapis.org/oas/3.0/schema/2019-04-02
This specification is still EXPERIMENTAL.
Swagger Petstore
This is used for unit tests, and should not be relied on by external users.
Sereal::Encoder
Installing Sereal::Encoder v4.00 (or later) will make "data_checksum" in JSON::Validator::Util significantly faster. This function is used both when parsing schemas and validating data.
Format validators
See the documentation in JSON::Validator::Formats for other optional modules to do validation of specific "format", such as "hostname", "ipv4" and others.
The methods "validate" and the function "validate_json" returns a list of JSON::Validator::Error objects when the input data violates the "schema".
DEPRECATED.
Proxy attribtue for "cache_paths" in JSON::Validator::Store.
my $hash_ref = $jv->formats; my $jv = $jv->formats(\%hash);
Holds a hash-ref, where the keys are supported JSON type "formats", and the values holds a code block which can validate a given format. A code block should return undef on success and an error string on error:
undef
sub { return defined $_[0] && $_[0] eq "42" ? undef : "Not the answer." };
See JSON::Validator::Formats for a list of supported formats.
my $jv = $jv->recursive_data_protections( $boolean ); my $boolean = $jv->recursive_data_protection;
Recursive data protection is active by default, however it can be deactivated by assigning a false value to the "recursive_data_protection" attribute.
Recursive data protection can have a noticeable impact on memory usage when validating large data structures. If you are encountering issues with memory and you can guarantee that you do not have any loops in your data structure then deactivating the recursive data protection may help.
This attribute is EXPERIMENTAL and may change in a future release.
Disclaimer: Use at your own risk, if you have any doubt then don't use it
Proxy attribtue for "ua" in JSON::Validator::Store.
# These two lines does the same my $schema = $jv->bundle({schema => $jv->schema->data}); my $schema = $jv->bundle; # Will only bundle a section of the schema my $schema = $jv->bundle({schema => $jv->schema->get("/properties/person/age")});
Used to create a new schema, where there are no "$ref" pointing to external resources. This means that all the "$ref" that are found, will be moved into the "definitions" key, in the returned $schema.
$schema
my $jv = $jv->coerce('bool,def,num,str'); my $jv = $jv->coerce('booleans,defaults,numbers,strings'); my $hash_ref = $jv->coerce;
Set the given type to coerce. Before enabling coercion this module is very strict when it comes to validating types. Example: The string "1" is not the same as the number 1, unless you have "numbers" coercion enabled.
"1"
1
booleans
Will convert what looks can be interpreted as a boolean (that is, an actual numeric 1 or 0, and the strings "true" and "false") to a JSON::PP::Boolean object. Note that "foo" is not considered a true value and will fail the validation.
0
defaults
Will copy the default value defined in the schema, into the input structure, if the input value is non-existing.
Note that support for "default" is currently EXPERIMENTAL, and enabling this might be changed in future versions.
numbers
Will convert strings that looks like numbers, into true numbers. This works for both the "integer" and "number" types.
strings
Will convert a number into a string. This works for the "string" type.
my $sub_schema = $jv->get("/x/y"); my $sub_schema = $jv->get(["x", "y"]);
Extract value from "schema" identified by the given JSON Pointer. Will at the same time resolve $ref if found. Example:
$jv->schema({x => {'$ref' => '#/y'}, y => {'type' => 'string'}}); $jv->schema->get('/x') == {'$ref' => '#/y'} $jv->schema->get('/x')->{'$ref'} == '#/y' $jv->get('/x') == {type => 'string'}
The argument can also be an array-ref with the different parts of the pointer as each elements.
$jv = JSON::Validator->new(%attributes); $jv = JSON::Validator->new(\%attributes);
Creates a new JSON::Validate object.
my $jv = $jv->load_and_validate_schema($schema, \%args);
Will load and validate $schema against the OpenAPI specification. $schema can be anything "schema" in JSON::Validator accepts. The expanded specification will be stored in "schema" in JSON::Validator on success. See "schema" in JSON::Validator for the different version of $url that can be accepted.
$url
%args can be used to further instruct the validation process:
%args
schema
Defaults to "http://json-schema.org/draft-04/schema#", but can be any structured that can be used to validate $schema.
my $jv = $jv->schema($json_or_yaml_string); my $jv = $jv->schema($url); my $jv = $jv->schema(\%schema); my $jv = $jv->schema(JSON::Validator::Joi->new); my $schema = $jv->schema;
Used to set a schema from either a data structure or a URL.
$schema will be a JSON::Validator::Schema object when loaded, and undef by default.
The $url can take many forms, but needs to point to a text file in the JSON or YAML format.
file://...
A file on disk. Note that it is required to use the "file" scheme if you want to reference absolute paths on your file system.
http://... or https://...
A web resource will be fetched using the Mojo::UserAgent, stored in "ua".
data://Some::Module/spec.json
Will load a given "spec.json" file from Some::Module using "data_section" in JSON::Validator::Util.
Some::Module
data:///spec.json
A "data" URL without a module name will use the current package and search up the call/inheritance tree.
Any other URL
An URL (without a recognized scheme) will be treated as a path to a file on disk. If the file could not be found on disk and the path starts with "/", then the will be loaded from the app defined in "ua". Something like this:
$jv->ua->server->app(MyMojoApp->new); $jv->ua->get('/any/other/url.json');
my @errors = $jv->validate($data); my @errors = $jv->validate($data, $schema);
Validates $data against a given JSON "schema". @errors will contain validation error objects, in a predictable order (specifically, ASCIIbetically sorted by the error objects' path) or be an empty list on success.
$data
@errors
path
See "ERROR OBJECT" for details.
$schema is optional, but when specified, it will override schema stored in "schema". Example:
$jv->validate({hero => "superwoman"}, {type => "object"});
Mojolicious::Plugin::OpenAPI
Mojolicious::Plugin::OpenAPI is a plugin for Mojolicious that utilize JSON::Validator and the OpenAPI specification to build routes with input and output validation.
Copyright (C) 2014-2018, Jan Henning Thorsen
This program is free software, you can redistribute it and/or modify it under the terms of the Artistic License version 2.0.
Jan Henning Thorsen - jhthorsen@cpan.org
jhthorsen@cpan.org
Daniel Böhmer - post@daniel-boehmer.de
post@daniel-boehmer.de
Ed J - mohawk2@users.noreply.github.com
mohawk2@users.noreply.github.com
Karen Etheridge - ether@cpan.org
ether@cpan.org
Kevin Goess - cpan@goess.org
cpan@goess.org
Martin Renvoize - martin.renvoize@gmail.com
martin.renvoize@gmail.com
To install JSON::Validator, copy and paste the appropriate command in to your terminal.
cpanm
cpanm JSON::Validator
CPAN shell
perl -MCPAN -e shell install JSON::Validator
For more information on module installation, please visit the detailed CPAN module installation guide.