View Source JSV (jsv v0.3.0)
This is the main API for the JSV library.
Basic usage
The following snippet describes the general usage of the library in any context.
The rest of the documentation describes how to use JSV in the context of an application.
# 1. Define a schema
schema = %{
type: :object,
properties: %{
name: %{type: :string}
},
required: [:name]
}
# 2. Define a resolver
resolver = {JSV.Resolver.BuiltIn, allowed_prefixes: ["https://json-schema.org/"]}
# 3. Build the schema
root = JSV.build!(schema, resolver: resolver)
# 4. Validate the data
case JSV.validate(%{"name" => "Alice"}, root) do
{:ok, data} ->
{:ok, data}
{:error, validation_error} ->
# Errors can be casted as JSON validator output to return them
# to the producer of the invalid data
{:error, JSON.encode!(JSV.normalize_error(validation_error))}
end
Core concepts
Input schema format
"Raw schemas" are schemas defined in Elixir data structures such as %{"type" => "integer"}
.
JSV does not accept JSON strings. You will need to decode the JSON strings before giving them to the build function. There are three different possible formats for a schema:
A boolean. Booleans are valid schemas that accept anything (
true
) or reject everything (false
).A map with binary keys and values such as
%{"type" => "integer"}
.A map with atom keys and/or values such as
%{type :integer}
. The:__struct__
property of structs is safely ignored.The
JSV.Schema
struct can be used for autocompletion and provides a special behaviour over a raw map with atoms: anynil
value found in the that will be ignored.Raw maps and other structs have their
nil
values kept and treated as-is (it's generally invalid).The
:__struct__
property of other structs is safely ignored.
Atoms are converted to binaries internally so it is technically possible to mix
atom with binaries in map keys or values but the behaviour for duplicate keys is
not defined: %{"type" => "string", :type => "integer"}
.
Meta-schemas: Introduction to vocabularies
JSV was built in compliance with the vocabulary mechanism of JSON schema, to support custom and optional keywords in the schemas.
It may be more clear with an example:
The well-known and official schema
https://json-schema.org/draft/2020-12/schema
defines the following vocabulary:{ "$vocabulary": { "https://json-schema.org/draft/2020-12/vocab/core": true, "https://json-schema.org/draft/2020-12/vocab/applicator": true, "https://json-schema.org/draft/2020-12/vocab/unevaluated": true, "https://json-schema.org/draft/2020-12/vocab/validation": true, "https://json-schema.org/draft/2020-12/vocab/meta-data": true, "https://json-schema.org/draft/2020-12/vocab/format-annotation": true, "https://json-schema.org/draft/2020-12/vocab/content": true } }
The vocabulary is split in different parts, here one by object property. More information can be found on the official website.
Libraries such as JSV must map this vocabulary to implementations. For instance, in JSV, the
https://json-schema.org/draft/2020-12/vocab/validation
part that defines thetype
keyword is implemented with theJSV.Vocabulary.V202012.Validation
Elixir module.Finally, we can declare a schema that would like to use the
type
keyword. To let the library know what implementation to use for that keyword, the schema declares thehttps://json-schema.org/draft/2020-12/schema
as its meta-schema (using the$schema
keyword).{ "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "integer" }
This tells the library to pull the vocabulary from the meta-schema and apply it to the schema.
As JSV is compliant, it will use its implementation of
https://json-schema.org/draft/2020-12/vocab/validation
to validate types.This also means that you can use a custom meta schema to skip some parts of the vocabulary, or add your own.
Resolvers overview
In order to build schemas properly, JSV needs to resolve the schema as a first step.
Resolving means fetching any remote resource whose data is needed and not
available ; basically $schema
, $ref
or $dynamicRef
properties pointing to
an absolute URIs.
Those URIs are generally URLs with the http://
or https://
scheme, but other
custom schemes can be used, and there are many ways to fetch HTTP resources in
Elixir.
For security reasons, the default resolver, JSV.Resolver.Embedded
, ships
official meta-schemas as part of the source code and can only resolve those
schemas.
For convenience reasons, a resolver that can fetch from the web is provided
(JSV.Resolver.Httpc
) but it needs to be manually declared by users of the JSV
library. Refer to the documentation of this module for more information.
Users are encouraged to write their own resolver to benefit from HTTP libraries like Req or to resolve owned schemas from source or local repositories. See the custom resolvers section for more information.
Building schemas
In this chapter we will see how to build schemas from raw resources. The
examples will mention the JSV.build/2
or JSV.build!/2
functions
interchangeably. Everything described here applies to both.
Schemas are built according to their meta-schema vocabulary. JSV will assume
that the $schema
value is "https://json-schema.org/draft/2020-12/schema"
by
default if not provided.
Once built, a schema is converted into a JSV.Root
, an internal representation
of the schema that can be used to perform validation.
In a nutshell it boils down to the following:
root = JSV.build!(schema)
Custom resolvers
The Httpc
resolver is here to help for common use cases, but you may need to
resolve resources from custom locations instead of just fetching the web URL.
JSV.build/2
accepts any resolver implementation as long as it implements the
JSV.Resolver
behaviour. See the documentation of that behaviour for more
information.
It is also possible to delegate to that resolver. If for instance we support a
my-company://
custom scheme, we could define the behaviour like so:
defmodule MyApp.SchemaResolver do
alias JSV.Resolver.BuiltIn
def resolve("my-company://" <> _ = url, _opts) do
uri = URI.parse(url)
schema_dir = "priv/schemas"
# In this example the hostname in URL is ignored
schema_path = Path.join(schema_dir, uri.path)
json_schema = File.read!(schema_path)
JSON.decode(json_schema)
end
def resolve("https://" <> _url, _opts) do
JSV.Resolver.BuiltIn.resolve(url,
allowed_prefixes: [
"https://json-schema.org/",
"https://some-friend-company/",
"https://some-other-provider/"
]
)
end
end
Of course a possible optimization would be to try the default
JSV.Resolver.Embedded
resolver for well known schemas instead of fetching them
from the web.
The resolver can now be used:
JSV.build(raw_schema, resolver: MyApp.SchemaResolver)
Enable or disable format validation
By default, the https://json-schema.org/draft/2020-12/schema
meta schema
does not perform format validation. This is very counter intuitive, but it
basically means that the following code will return {:ok, "not a date"}
:
schema =
JSON.decode!("""
{
"type": "string",
"format": "date"
}
""")
root = JSV.build!(schema)
JSV.validate("not a date", root)
To always enable format validation when building a root schema, provide the
formats: true
option to JSV.build/2
:
JSV.build(raw_schema, formats: true)
This is another reason to wrap JSV.build
with a custom builder module!
Note that format validation is determined at build time. There is no way to change whether it is performed once the root schema is built.
You can also enable format validation by using the JSON Schema specification
semantics, though we strongly advise to just use the :formats
option and call
it a day.
For format validation to be enabled, a schema should declare the
https://json-schema.org/draft/2020-12/vocab/format-assertion
vocabulary
instead of the https://json-schema.org/draft/2020-12/vocab/format-annotation
one that is included by default in the
https://json-schema.org/draft/2020-12/schema
meta schema.
So, first we would declare a new meta schema:
{
"$id": "custom://with-formats-on/",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$vocabulary": {
"https://json-schema.org/draft/2020-12/vocab/core": true,
"https://json-schema.org/draft/2020-12/vocab/format-assertion": true
},
"$dynamicAnchor": "meta",
"allOf": [
{ "$ref": "https://json-schema.org/draft/2020-12/meta/core" },
{ "$ref": "https://json-schema.org/draft/2020-12/meta/format-assertion" }
]
}
This example is taken from the JSON Schema Test Suite codebase and does not includes all the vocabularies, only the assertion for the formats and the core vocabulary.
Then we would declare our schema using that vocabulary to perform validation. Of
course our resolver must be able to resolve the given URL for the new $schema
property.
schema =
JSON.decode!("""
{
"$schema": "custom://with-formats-on/",
"type": "string",
"format": "date"
}
""")
root = JSV.build!(schema, resolver: ...)
With this new meta-schema, JSV.validate/2
would return an error tuple without
needing the formats: true
.
{:error, _} = JSV.validate("hello", root)
In this case, it is also possible to disable the validation for schemas that use a meta-schema where the assertion vocabulary is declared:
JSV.build(raw_schema, formats: false)
Custom build modules
With that in mind, we suggest to define a custom module to wrap the
JSV.build/2
function, so the resolver, formats and vocabularies can be defined
only once.
That module could be implemented like this:
defmodule MyApp.SchemaBuilder do
def build_schema!(raw_schema) do
JSV.build!(raw_schema, resolver: MyApp.SchemaResolver, formats: true)
end
end
Compile-time builds
It is strongly encouraged to build schemas at compile time, in order to avoid repeating the build step for no good reason.
For instance, if we have this function that should validate external data:
# Do not do this
def validate_order(order) do
root =
"priv/schemas/order.schema.json"
|> File.read!()
|> JSON.decode!()
|> MyApp.SchemaBuilder.build_schema!()
case JSV.validate(order, root) do
{:ok, _} -> OrderHandler.handle_order(order)
{:error, _} = err -> err
end
end
The schema will be built each time the function is called. Building a schema is actually pretty fast but it is a waste of resources nevertheless.
One could do the following to get a net performance gain:
# Do this instead
@order_schema "priv/schemas/order.schema.json"
|> File.read!()
|> JSON.decode!()
|> MyApp.SchemaBuilder.build_schema!()
defp order_schema, do: @order_schema
def validate_order(order) do
case JSV.validate(order, order_schema()) do
{:ok, _} -> OrderHandler.handle_order(order)
{:error, _} = err -> err
end
end
You can also define a module where all your schemas are built and exported as functions:
defmodule MyApp.Schemas do
schemas = [
order: "tmp/order.schema.json",
shipping: "tmp/shipping.schema.json"
]
Enum.each(schemas, fn {fun, path} ->
root =
path
|> File.read!()
|> JSON.decode!()
|> MyApp.SchemaBuilder.build_schema!()
def unquote(fun)() do
unquote(Macro.escape(root))
end
end)
end
...and use it elsewhere:
def validate_order(order) do
case JSV.validate(order, MyApp.Schemas.order()) do
{:ok, _} -> OrderHandler.handle_order(order)
{:error, _} = err -> err
end
end
Validation
To validate a term, call the JSV.validate/3
function like so:
JSV.validate(data, root_schema, opts)
General considerations
JSV supports all keywords of the 2020-12 specification except:
The return value of
JSV.validate/3
returns casted data. See the documentation of that function for more information.The
contentMediaType
,contentEncoding
andcontentSchema
keywords. They are ignored. Future support for custom vocabularies will allow you to validate data with such keywords.The
format
keyword is largely supported but with many inconsistencies, mostly due to differences between Elixir and JavaScript (JSON Schema is largely based on JavaScript primitives). For most use cases, the differences are negligible.The
"integer"
type will transform floats into integer when the fractional part is zero (such as123.0
). Support for floating-point numbers with large integer parts is using native Elixir semantics and may return incorrect results:iex(1)> trunc(123456789123456789123456789.0) # returns: 123456789123456791337762816 # | # | Difference starts here
This is because
123456789123456789123456789.0
is decoded as1.2345678912345679e26
from the shell as well as by theJSON
module. This value should have25
zeroes when truncated but that will not be the case.When dealing with such data it may be better to discard the casted data, or to work with strings instead of floats.
Formats
JSV supports multiple formats out of the box with its default implementation, but some are only available under certain conditions that will be specified for each format.
The following listing describes the condition for support and return value type for these default implementations. You can override those implementations by providing your own, as well as providing new formats. This will be described later in this document.
Also, note that by default, JSV format validation will return the original
value, that is, the string form of the data. Some format validators can also
cast the string to a more interesting data structure, for instance converting a
date string to a Date
struct. You can enable returning casted values by
passing the cast_formats: true
option to JSV.validate/3
.
The listing below describe values returned with that option enabled.
Important: Some formats require the abnf_parsec
library to be available.
But we have numerous problems with this library, yielding false negatives with
many inputs. An alternative solution will be implemented in future versions.
date
- support: Native.
- input:
"2020-04-22"
- output:
~D[2020-04-22]
- The format is implemented with the native
Date
module. - The native
Date
module supports theYYYY-MM-DD
format only.2024
,2024-W50
,2024-12
will not be valid.
date-time
- support: Native.
- input:
"2025-01-02T00:11:23.416689Z"
- output:
~U[2025-01-02 00:11:23.416689Z]
- The format is implemented with the native
DateTime
module. - The native
DateTime
module supports theYYYY-MM-DD
format only for dates.2024T...
,2024-W50T...
,2024-12T...
will not be valid. - Decimal precision is not capped to milliseconds.
2024-12-14T23:10:00.500000001Z
will be valid.
duration
- support: Requires Elixir 1.17
- input:
"P1DT4,5S"
- output:
%Duration{day: 1, second: 4, microsecond: {500000, 1}}
- Elixir documentation states that Only seconds may be specified with a decimal fraction, using either a comma or a full stop: P1DT4,5S.
- Elixir durations accept negative values.
- Elixir durations accept out-of-range values, for instance more than 59 minutes.
- Excessive precision (as in
"PT10.0000000000001S"
) will be valid.
- support: Requires
{:mail_address, "~> 1.0"}
. - input:
"hello@json-schema.org"
- output:
"hello@json-schema.org"
(same value) - Support is limited by the implementation of that library.
- The
idn-email
format is not supported out-of-the-box.
hostname
- support: Native
- input:
"some-host"
- output:
"some-host"
(same value) - Accepts numerical TLDs and single letter TLDs.
ipv4
- support: Native
- input:
"127.0.0.1"
- output:
{127, 0, 0, 1}
ipv6
- support: Native
- input:
"::1"
- output:
{0, 0, 0, 0, 0, 0, 0, 1}
iri
- support: Requires
{:abnf_parsec, "~> 1.0"}
. - input:
"https://héhé.com/héhé"
- output:
%URI{scheme: "https", authority: "héhé.com", userinfo: nil, host: "héhé.com", port: 443, path: "/héhé", query: nil, fragment: nil}
iri-reference
- support: Requires
{:abnf_parsec, "~> 1.0"}
. - input:
"//héhé"
- output:
%URI{scheme: nil, authority: "héhé", userinfo: nil, host: "héhé", port: nil, path: nil, query: nil, fragment: nil}
json-pointer
- support: Requires
{:abnf_parsec, "~> 1.0"}
. - input:
"/foo/bar/baz"
- output:
"/foo/bar/baz"
(same value)
regex
- support: Native
- input:
"[a-zA-Z0-9]"
- output:
~r/[a-zA-Z0-9]/
- The format is implemented with the native
Regex
module. - The
Regex
module does not follow theECMA-262
specification.
relative-json-pointer
- support: Requires
{:abnf_parsec, "~> 1.0"}
. - input:
"0/foo/bar"
- output:
"0/foo/bar"
(same value)
time
- support: Native
- input:
"20:20:08.378586"
- output:
~T[20:20:08.378586]
- The format is implemented with the native
Time
module. - The native
Time
implementation will completely discard the time offset information. Invalid offsets will be valid. - Decimal precision is not capped to milliseconds.
23:10:00.500000001
will be valid.
unknown
- support: Native
- input:
"anything"
- output:
"anything"
(same value) - No validation or transformation is done.
uri
- support: Native, optionally uses
{:abnf_parsec, "~> 1.0"}
. - input:
"http://example.com"
- output:
%URI{scheme: "http", authority: "example.com", userinfo: nil, host: "example.com", port: 80, path: nil, query: nil, fragment: nil}
- Without the optional dependency, the
URI
module is used and a minimum checks on hostname and scheme presence are made.
uri-reference
- support: Native, optionally uses
{:abnf_parsec, "~> 1.0"}
. - input:
"/example-path"
- output:
%URI{scheme: nil, userinfo: nil, host: nil, port: nil, path: "/example-path", query: nil, fragment: nil}
- Without the optional dependency, the
URI
module will cast most non url-like strings as apath
.
uri-template
- support: Requires
{:abnf_parsec, "~> 1.0"}
. - input:
"http://example.com/search{?query,lang}"
- output:
"http://example.com/search{?query,lang}"
(same value)
uuid
- support: Native
- input:
"bf22824c-c8a4-11ef-9642-0fdaf117eeb9"
- output:
"bf22824c-c8a4-11ef-9642-0fdaf117eeb9"
(same value)
Custom formats
In order to provide custom formats, or to override default implementations for
formats, you may provide a list of modules as the value for the :formats
options of JSV.build/2
. Such modules must implement the JSV.FormatValidator
behaviour.
For instance:
defmodule CustomFormats do
@behaviour JSV.FormatValidator
@impl true
def supported_formats do
["greeting"]
end
@impl true
def validate_cast("greeting", data) do
case data do
"hello " <> name -> {:ok, %Greeting{name: name}}
_ -> {:error, :invalid_greeting}
end
end
end
With this module you can now call the builder with it:
JSV.build!(raw_schema, formats: [CustomFormats])
Note that this will disable all other formats. If you need to still support the default formats, a helper is available:
JSV.build!(raw_schema,
formats: [CustomFormats | JSV.default_format_validator_modules()]
)
Format validation modules are checked during the build phase, in order. So you can override any format defined by a module that comes later in the list, including the default modules.
Development
Contributing
Pull requests are welcome given appropriate tests and documentation.
Roadmap
- Support for custom vocabularies
- Declare a JSON codec module directly as httpc resolver option. This will be implemented if needed, we do not think there will be a strong demand for that.
Summary
Functions
Builds the schema as a JSV.Root
schema for validation.
Same as build/2
but raises on error.
Returns the list of format validator modules that are used when a schema is
built with format validation enabled and the :formats
option to build/2
is
true
.
Returns the default meta schema used when the :default_meta
option is not
set in build/2
.
Functions
@spec build( JSV.Builder.raw_schema(), keyword() ) :: {:ok, JSV.Root.t()} | {:error, Exception.t()}
Builds the schema as a JSV.Root
schema for validation.
Options
:resolver
- TheJSV.Resolver
behaviour implementation module to retrieve schemas identified by an URL.Accepts a
module
or a{module, options}
tuple. The options can be any term and will be given to theresolve/2
callback of the module.The default value is
JSV.Resolver.Embedded
.:default_meta
(String.t/0
) - The meta schema to use for resolved schemas that do not define a"$schema"
property. The default value is"https://json-schema.org/draft/2020-12/schema"
.:formats
- Controls the validation of strings with the"format"
keyword.nil
- Formats are validated according to the meta-schema vocabulary.true
- Enforces validation with the default validator modules.false
- Disables all format validation.[Module1, Module2,...]
– set those modules as validators. Disables the default format validator modules. The default validators can be included back in the list manually, seedefault_format_validator_modules/0
.
Formats are disabled by the default meta-schemas
The default value for this option is
nil
to respect the capability of enably validation with vocabularies.But the default meta-schemas for the latest drafts (example:
https://json-schema.org/draft/2020-12/schema
) do not enable format validation.You'll probably want this option to be set to
true
or to provide your own modules.The default value is
nil
.
@spec build!( JSV.Builder.raw_schema(), keyword() ) :: JSV.Root.t()
Same as build/2
but raises on error.
@spec default_format_validator_modules() :: [module()]
Returns the list of format validator modules that are used when a schema is
built with format validation enabled and the :formats
option to build/2
is
true
.
@spec default_meta() :: binary()
Returns the default meta schema used when the :default_meta
option is not
set in build/2
.
Currently returns "https://json-schema.org/draft/2020-12/schema".
@spec normalize_error( JSV.ValidationError.t() | JSV.Validator.context() | [JSV.Validator.Error.t()] ) :: map()
@spec validate(term(), JSV.Root.t(), keyword()) :: {:ok, term()} | {:error, Exception.t()}
Validate the data with the given schema. The schema must be a JSV.Root
struct generated with build/2
.
Important: this function returns casted data:
- If the
:cast_formats
option is enabled, string values may be transformed in other data structures. Refer to the "Formats" section of theJSV
documentation for more information. - The JSON Schema specification states that
123.0
is a valid integer. This function will return123
instead. This may return invalid data for floats with very large integer parts. As always when dealing with JSON and floats, use strings. - Future versions of the library will allow to cast raw data into Elixir structs.