An implementation of JSON Schema, based on IETF's draft v4 - Go language
References :
- http://json-schema.org
- http://json-schema.org/latest/json-schema-core.html
- http://json-schema.org/latest/json-schema-validation.html
go get github.com/xeipuuv/gojsonschema
Dependencies :
- github.com/xeipuuv/gojsonpointer
- github.com/xeipuuv/gojsonreference
- github.com/stretchr/testify/assert
package main
import (
"fmt"
"github.com/xeipuuv/gojsonschema"
)
func main() {
schemaLoader := gojsonschema.NewReferenceLoader("file:///home/me/schema.json")
documentLoader := gojsonschema.NewReferenceLoader("file:///home/me/document.json")
result, err := gojsonschema.Validate(schemaLoader, documentLoader)
if err != nil {
panic(err.Error())
}
if result.Valid() {
fmt.Printf("The document is valid\n")
} else {
fmt.Printf("The document is not valid. see errors :\n")
for _, desc := range result.Errors() {
fmt.Printf("- %s\n", desc)
}
}
}
There are various ways to load your JSON data. In order to load your schemas and documents, first declare an appropriate loader :
- Web / HTTP, using a reference :
loader := gojsonschema.NewReferenceLoader("http://www.some_host.com/schema.json")
- Local file, using a reference :
loader := gojsonschema.NewReferenceLoader("file:///home/me/schema.json")
References use the URI scheme, the prefix (file://) and a full path to the file are required.
- JSON strings :
loader := gojsonschema.NewStringLoader(`{"type": "string"}`)
- Custom Go types :
m := map[string]interface{}{"type": "string"}
loader := gojsonschema.NewGoLoader(m)
And
type Root struct {
Users []User `json:"users"`
}
type User struct {
Name string `json:"name"`
}
...
data := Root{}
data.Users = append(data.Users, User{"John"})
data.Users = append(data.Users, User{"Sophia"})
data.Users = append(data.Users, User{"Bill"})
loader := gojsonschema.NewGoLoader(data)
Once the loaders are set, validation is easy :
result, err := gojsonschema.Validate(schemaLoader, documentLoader)
Alternatively, you might want to load a schema only once and process to multiple validations :
schema, err := gojsonschema.NewSchema(schemaLoader)
...
result1, err := schema.Validate(documentLoader1)
...
result2, err := schema.Validate(documentLoader2)
...
// etc ...
To check the result :
if result.Valid() {
fmt.Printf("The document is valid\n")
} else {
fmt.Printf("The document is not valid. see errors :\n")
for _, err := range result.Errors() {
// Err implements the ResultError interface
fmt.Printf("- %s\n", err)
}
}
The library handles string error codes which you can customize by creating your own gojsonschema.locale and setting it
gojsonschema.Locale = YourCustomLocale{}
However, each error contains additional contextual information.
err.Type(): string Returns the "type" of error that occurred. Note you can also type check. See below
Note: An error of RequiredType has an err.Type() return value of "required"
"required": RequiredError
"invalid_type": InvalidTypeError
"number_any_of": NumberAnyOfError
"number_one_of": NumberOneOfError
"number_all_of": NumberAllOfError
"number_not": NumberNotError
"missing_dependency": MissingDependencyError
"internal": InternalError
"enum": EnumError
"array_no_additional_items": ArrayNoAdditionalItemsError
"array_min_items": ArrayMinItemsError
"array_max_items": ArrayMaxItemsError
"unique": ItemsMustBeUniqueError
"array_min_properties": ArrayMinPropertiesError
"array_max_properties": ArrayMaxPropertiesError
"additional_property_not_allowed": AdditionalPropertyNotAllowedError
"invalid_property_pattern": InvalidPropertyPatternError
"string_gte": StringLengthGTEError
"string_lte": StringLengthLTEError
"pattern": DoesNotMatchPatternError
"multiple_of": MultipleOfError
"number_gte": NumberGTEError
"number_gt": NumberGTError
"number_lte": NumberLTEError
"number_lt": NumberLTError
err.Value(): interface{} Returns the value given
err.Context(): gojsonschema.jsonContext Returns the context. This has a String() method that will print something like this: (root).firstName
err.Field(): string Returns the fieldname in the format firstName, or for embedded properties, person.firstName. This returns the same as the String() method on err.Context() but removes the (root). prefix.
err.Description(): string The error description. This is based on the locale you are using. See the beginning of this section for overwriting the locale with a custom implementation.
err.Details(): gojsonschema.ErrorDetails Returns a map[string]interface{} of additional error details specific to the error. For example, GTE errors will have a "min" value, LTE will have a "max" value. See errors.go for a full description of all the error details. Every error always contains a "field" key that holds the value of err.Field()
Note in most cases, the err.Details() will be used to generate replacement strings in your locales. and not used directly i.e.
%field% must be greater than or equal to %min%
JSON Schema allows for optional "format" property to validate strings against well-known formats. gojsonschema ships with all of the formats defined in the spec that you can use like this:
{"type": "string", "format": "email"}
Available formats: date-time, hostname, email, ipv4, ipv6, uri.
For repetitive or more complex formats, you can create custom format checkers and add them to gojsonschema like this:
// Define the format checker
type RoleFormatChecker struct {}
// Ensure it meets the gojsonschema.FormatChecker interface
func (f RoleFormatChecker) IsFormat(input string) bool {
return strings.HasPrefix("ROLE_", input)
}
// Add it to the library
gojsonschema.FormatCheckers.Add("role", RoleFormatChecker{})
Now to use in your json schema:
{"type": "string", "format": "role"}
gojsonschema uses the following test suite :