This package can be used to generate JSON Schemas from Go types through reflection.
- Supports arbitrarily complex types, including
any, 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.
This repository is a fork of the original jsonschema by @alecthomas. At Invopop we use jsonschema as a cornerstone in our GOBL library, and wanted to be able to continue building and adding features without taking up Alec's time. There have been a few significant changes that probably mean this version is a not compatible with with Alec's:
- The original was stuck on the draft-04 version of JSON Schema, we've now moved to the latest JSON Schema Draft 2020-12.
- Schema IDs are added automatically from the current Go package's URL in order to be unique, and can be disabled with the
Anonymousoption. - Support for the
FullyQualifyTypeNameoption has been removed. If you have conflicts, you should use multiple schema files with different IDs, set theDoNotReferenceoption to true to hide definitions completely, or add your own naming strategy using theNamerproperty. - Support for
yamltags and related options has been dropped for the sake of simplification. There were a few inconsistencies around this that have now been fixed.
This project is still under v0 scheme, as per Go convention, breaking changes are likely. Please pin go modules to branches, and reach out if you think something can be improved.
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]any `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 any `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{}){
"$schema": "http://json-schema.org/draft/2020-12/schema",
"$ref": "#/$defs/SampleUser",
"$defs": {
"SampleUser": {
"oneOf": [
{
"required": ["birth_date"],
"title": "date"
},
{
"required": ["year_of_birth"],
"title": "year"
}
],
"properties": {
"id": {
"type": "integer"
},
"name": {
"type": "string",
"title": "the name",
"description": "The name of a friend",
"default": "alex",
"examples": ["joe", "lucy"]
},
"friends": {
"items": {
"type": "integer"
},
"type": "array",
"description": "The list of IDs, omitted when empty"
},
"tags": {
"type": "object",
"a": "b",
"foo": ["bar", "bar1"]
},
"birth_date": {
"type": "string",
"format": "date-time"
},
"year_of_birth": {
"type": "string"
},
"metadata": {
"oneOf": [
{
"type": "string"
},
{
"type": "array"
}
]
},
"fav_color": {
"type": "string",
"enum": ["red", "green", "blue"]
}
},
"additionalProperties": false,
"type": "object",
"required": ["id", "name"]
}
}
}Support for yaml tags has now been removed. If you feel very strongly about this, we've opened a discussion to hear your comments: https://github.com/authelia/jsonschema/discussions/28
The recommended approach if you need to deal with YAML data is to first convert to JSON. The invopop/yaml library will make this trivial.
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:
{
"$schema": "http://json-schema.org/draft/2020-12/schema",
"required": ["some_base_property", "grand", "SomeUntaggedBaseProperty"],
"properties": {
"SomeUntaggedBaseProperty": {
"type": "boolean"
},
"grand": {
"$schema": "http://json-schema.org/draft/2020-12/schema",
"$ref": "#/definitions/GrandfatherType"
},
"some_base_property": {
"type": "integer"
}
},
"type": "object",
"$defs": {
"GrandfatherType": {
"required": ["family_name"],
"properties": {
"family_name": {
"type": "string"
}
},
"additionalProperties": false,
"type": "object"
}
}
}Writing a good schema with descriptions inside tags can become cumbersome and tedious, especially if you already have some Go comments around your types and field definitions. If you'd like to take advantage of these existing comments, you can use the AddGoComments(base, path string) method that forms part of the reflector to parse your go files and automatically generate a dictionary of Go import paths, types, and fields, to individual comments. These will then be used automatically as description fields, and can be overridden with a manual definition if needed.
Take a simplified example of a User struct which for the sake of simplicity we assume is defined inside this package:
package main
// User is used as a base to provide tests for comments.
type User struct {
// Unique sequential identifier.
ID int `json:"id" jsonschema:"required"`
// Name of the user
Name string `json:"name"`
}To get the comments provided into your JSON schema, use a regular Reflector and add the go code using an import module URL and path. Fully qualified go module paths cannot be determined reliably by the go/parser library, so we need to introduce this manually:
r := new(Reflector)
if err := r.AddGoComments("github.com/authelia/jsonschema", "./"); err != nil {
// deal with error
}
s := r.Reflect(&User{})
// outputExpect the results to be similar to:
{
"$schema": "http://json-schema.org/draft/2020-12/schema",
"$ref": "#/$defs/User",
"$defs": {
"User": {
"required": ["id"],
"properties": {
"id": {
"type": "integer",
"description": "Unique sequential identifier."
},
"name": {
"type": "string",
"description": "Name of the user"
}
},
"additionalProperties": false,
"type": "object",
"description": "User is used as a base to provide tests for comments."
}
}
}In some situations, the keys actually used to write files are different from Go structs'.
This is often the case when writing a configuration file to YAML or JSON from a Go struct, or when returning a JSON response for a Web API: APIs typically use snake_case, while Go uses PascalCase.
You can pass a func(string) string function to Reflector's KeyNamer option to map Go field names to JSON key names and reflect the aforementioned transformations, without having to specify json:"..." on every struct field.
For example, consider the following struct
type User struct {
GivenName string
PasswordSalted []byte `json:"salted_password"`
}We can transform field names to snake_case in the generated JSON schema:
r := new(jsonschema.Reflector)
r.KeyNamer = strcase.SnakeCase // from package github.com/stoewer/go-strcase
r.Reflect(&User{})Will yield
{
"$schema": "http://json-schema.org/draft/2020-12/schema",
"$ref": "#/$defs/User",
"$defs": {
"User": {
"properties": {
- "GivenName": {
+ "given_name": {
"type": "string"
},
"salted_password": {
"type": "string",
"contentEncoding": "base64"
}
},
"additionalProperties": false,
"type": "object",
- "required": ["GivenName", "salted_password"]
+ "required": ["given_name", "salted_password"]
}
}
}As you can see, if a field name has a json:"" tag set, the key argument to KeyNamer will have the value of that tag.
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 type, implement the JSONSchema() *Schema 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) JSONSchema() *Schema {
return &Schema{
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/2020-12/schema",
"$ref": "#/$defs/CompactDate",
"$defs": {
"CompactDate": {
"pattern": "^[0-9]{4}-[0-1][0-9]$",
"type": "string",
"title": "Compact Date",
"description": "Short date that only includes year and month"
}
}
}