This package can be used to generate JSON Schemas from Go types through reflection.
- Supports arbitrarily complex types, including
interface{}, maps, slices, etc. - Supports json-schema features such as minLength, maxLength, pattern, format, etc.
- Supports simple string and numeric enums.
- Supports custom property fields via the
jsonschema_extrasstruct tag.
The following Go type:
type TestUser struct {
ID int `json:"id"`
Name string `json:"name" jsonschema:"title=the name,description=The name of a friend,example=joe,example=lucy,default=alex"`
Friends []int `json:"friends,omitempty" jsonschema_description:"The list of IDs, omitted when empty"`
Tags map[string]interface{} `json:"tags,omitempty" jsonschema_extras:"a=b,foo=bar,foo=bar1"`
BirthDate time.Time `json:"birth_date,omitempty" jsonschema:"oneof_required=date"`
YearOfBirth string `json:"year_of_birth,omitempty" jsonschema:"oneof_required=year"`
Metadata interface{} `json:"metadata,omitempty" jsonschema:"oneof_type=string;array"`
FavColor string `json:"fav_color,omitempty" jsonschema:"enum=red,enum=green,enum=blue"`
}Results in following JSON Schema:
jsonschema.Reflect(&TestUser{}){
"$schema": "http://json-schema.org/draft-04/schema#",
"$ref": "#/definitions/TestUser",
"definitions": {
"TestUser": {
"type": "object",
"properties": {
"metadata": {
"oneOf": [
{
"type": "string"
},
{
"type": "array"
}
]
},
"birth_date": {
"type": "string",
"format": "date-time"
},
"friends": {
"type": "array",
"items": {
"type": "integer"
},
"description": "The list of IDs, omitted when empty"
},
"id": {
"type": "integer"
},
"name": {
"type": "string",
"title": "the name",
"description": "The name of a friend",
"default": "alex",
"examples": [
"joe",
"lucy"
]
},
"tags": {
"type": "object",
"patternProperties": {
".*": {
"additionalProperties": true
}
},
"a": "b",
"foo": [
"bar",
"bar1"
]
},
"fav_color": {
"type": "string",
"enum": [
"red",
"green",
"blue"
]
}
},
"additionalProperties": false,
"required": ["id", "name"],
"oneOf": [
{
"required": [
"birth_date"
],
"title": "date"
},
{
"required": [
"year_of_birth"
],
"title": "year"
}
]
}
}
}The behaviour of the schema generator can be altered with parameters when a jsonschema.Reflector
instance is created.
If set to true, makes the top level struct not to reference itself in the definitions. But type passed should be a struct type.
eg.
type GrandfatherType struct {
FamilyName string `json:"family_name" jsonschema:"required"`
}
type SomeBaseType struct {
SomeBaseProperty int `json:"some_base_property"`
// The jsonschema required tag is nonsensical for private and ignored properties.
// Their presence here tests that the fields *will not* be required in the output
// schema, even if they are tagged required.
somePrivateBaseProperty string `json:"i_am_private" jsonschema:"required"`
SomeIgnoredBaseProperty string `json:"-" jsonschema:"required"`
SomeSchemaIgnoredProperty string `jsonschema:"-,required"`
SomeUntaggedBaseProperty bool `jsonschema:"required"`
someUnexportedUntaggedBaseProperty bool
Grandfather GrandfatherType `json:"grand"`
}will output:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"required": [
"some_base_property",
"grand",
"SomeUntaggedBaseProperty"
],
"properties": {
"SomeUntaggedBaseProperty": {
"type": "boolean"
},
"grand": {
"$schema": "http://json-schema.org/draft-04/schema#",
"$ref": "#/definitions/GrandfatherType"
},
"some_base_property": {
"type": "integer"
}
},
"type": "object",
"definitions": {
"GrandfatherType": {
"required": [
"family_name"
],
"properties": {
"family_name": {
"type": "string"
}
},
"additionalProperties": false,
"type": "object"
}
}
}JSON schemas can also be used to validate YAML, however YAML frequently uses
different identifiers to JSON indicated by the yaml: tag. The Reflector will
by default prefer json: tags over yaml: tags (and only use the latter if the
former are not present). This behavior can be changed via the PreferYAMLSchema
flag, that will switch this behavior: yaml: tags will be preferred over
json: tags.
With PreferYAMLSchema: true, the following struct:
type Person struct {
FirstName string `json:"FirstName" yaml:"first_name"`
}would result in this schema:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"$ref": "#/definitions/TestYamlAndJson",
"definitions": {
"Person": {
"required": ["first_name"],
"properties": {
"first_name": {
"type": "string"
}
},
"additionalProperties": false,
"type": "object"
}
}
}whereas without the flag one obtains:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"$ref": "#/definitions/TestYamlAndJson",
"definitions": {
"Person": {
"required": ["FirstName"],
"properties": {
"first_name": {
"type": "string"
}
},
"additionalProperties": false,
"type": "object"
}
}
}Sometimes it can be useful to have custom JSON Marshal and Unmarshal methods in your structs that automatically convert for example a string into an object.
To override auto-generating an object type for your struct, implement the JSONSchemaType() *Type method and whatever is defined will be provided in the schema definitions.
Take the following simplified example of a CompactDate that only includes the Year and Month:
type CompactDate struct {
Year int
Month int
}
func (d *CompactDate) UnmarshalJSON(data []byte) error {
if len(data) != 9 {
return errors.New("invalid compact date length")
}
var err error
d.Year, err = strconv.Atoi(string(data[1:5]))
if err != nil {
return err
}
d.Month, err = strconv.Atoi(string(data[7:8]))
if err != nil {
return err
}
return nil
}
func (d *CompactDate) MarshalJSON() ([]byte, error) {
buf := new(bytes.Buffer)
buf.WriteByte('"')
buf.WriteString(fmt.Sprintf("%d-%02d", d.Year, d.Month))
buf.WriteByte('"')
return buf.Bytes(), nil
}
func (CompactDate) JSONSchemaType() *Type {
return &Type{
Type: "string",
Title: "Compact Date",
Description: "Short date that only includes year and month",
Pattern: "^[0-9]{4}-[0-1][0-9]$",
}
}The resulting schema generated for this struct would look like:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"$ref": "#/definitions/CompactDate",
"definitions": {
"CompactDate": {
"pattern": "^[0-9]{4}-[0-1][0-9]$",
"type": "string",
"title": "Compact Date",
"description": "Short date that only includes year and month"
}
}
}