go-sdk/internal/jsonschema/infer.go
Jonathan Amsterdam 40185dd013 jsonschema: represent integer keywords as ints
Some JSON Schema keywords, like minLength, are logically integers.
The JSON Schema spec allows them to be written as floating-point
values with zero fractional part, which is a reasonable choice, since
JSON doesn't distinguish the two.

We could simply validate these fields as integers in the normal course
of events (namely, validating the schema against its meta-schema),
but this CL does a little better: it uses *int struct fields for
these keywords, preventing them from ever being non-integers.
The UnmarshalJSON method still accepts integral floating-point values.
Marshaling is unaffected, and the results don't change: encoding/json
has always marshaled integral floats without the decimal part.

Other choices:
- Leave them as float64: you could then get away with
    Schema{MinLength: Ptr(1.5)}
  and though you couldn't get far with that, it's still irksome.

- json.Number: same problem as float64, plus it's even harder to write
  as a literal.

- int64: now `Ptr(1)` doesn't work (it's a *int, not a *int64).
  Anyway, these keywords all compare against len(x) in Go, which
  is of type int.

Change-Id: Ie3f08bd8a5deaf2a21344d6ab873551c011b12d5
Reviewed-on: https://go-review.googlesource.com/c/tools/+/668315
LUCI-TryBot-Result: Go LUCI <golang-scoped@luci-project-accounts.iam.gserviceaccount.com>
Reviewed-by: Robert Findley <rfindley@google.com>
2025-05-02 10:55:18 -07:00

149 lines
4 KiB
Go

// Copyright 2025 The Go MCP SDK Authors. All rights reserved.
// Use of this source code is governed by an MIT-style
// license that can be found in the LICENSE file.
// This file contains functions that infer a schema from a Go type.
package jsonschema
import (
"fmt"
"reflect"
"slices"
"strings"
)
// For constructs a JSON schema object for the given type argument.
//
// It is a convenience for ForType.
func For[T any]() (*Schema, error) {
return ForType(reflect.TypeFor[T]())
}
// ForType constructs a JSON schema object for the given type.
// It translates Go types into compatible JSON schema types, as follows:
// - strings have schema type "string"
// - bools have schema type "boolean"
// - signed and unsigned integer types have schema type "integer"
// - floating point types have schema type "number"
// - slices and arrays have schema type "array", and a corresponding schema
// for items
// - maps with string key have schema type "object", and corresponding
// schema for additionalProperties
// - structs have schema type "object", and disallow additionalProperties.
// Their properties are derived from exported struct fields, using the
// struct field json name. Fields that are marked "omitempty" are
// considered optional; all other fields become required properties.
//
// It returns an error if t contains (possibly recursively) any of the following Go
// types, as they are incompatible with the JSON schema spec.
// - maps with key other than 'string'
// - function types
// - complex numbers
// - unsafe pointers
//
// TODO(rfindley): we could perhaps just skip these incompatible fields.
func ForType(t reflect.Type) (*Schema, error) {
return typeSchema(t, make(map[reflect.Type]*Schema))
}
func typeSchema(t reflect.Type, seen map[reflect.Type]*Schema) (*Schema, error) {
if t.Kind() == reflect.Pointer {
t = t.Elem()
}
if s := seen[t]; s != nil {
return s, nil
}
var (
s = new(Schema)
err error
)
seen[t] = s
switch t.Kind() {
case reflect.Bool:
s.Type = "boolean"
case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64,
reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64,
reflect.Uintptr:
s.Type = "integer"
case reflect.Float32, reflect.Float64:
s.Type = "number"
case reflect.Interface:
// Unrestricted
case reflect.Map:
if t.Key().Kind() != reflect.String {
return nil, fmt.Errorf("unsupported map key type %v", t.Key().Kind())
}
s.Type = "object"
s.AdditionalProperties, err = typeSchema(t.Elem(), seen)
if err != nil {
return nil, fmt.Errorf("computing map value schema: %v", err)
}
case reflect.Slice, reflect.Array:
s.Type = "array"
s.Items, err = typeSchema(t.Elem(), seen)
if err != nil {
return nil, fmt.Errorf("computing element schema: %v", err)
}
if t.Kind() == reflect.Array {
s.MinItems = Ptr(t.Len())
s.MaxItems = Ptr(t.Len())
}
case reflect.String:
s.Type = "string"
case reflect.Struct:
s.Type = "object"
// no additional properties are allowed
s.AdditionalProperties = &Schema{Not: &Schema{}}
for i := range t.NumField() {
field := t.Field(i)
name, required, include := parseField(field)
if !include {
continue
}
if s.Properties == nil {
s.Properties = make(map[string]*Schema)
}
s.Properties[name], err = typeSchema(field.Type, seen)
if err != nil {
return nil, err
}
if required {
s.Required = append(s.Required, name)
}
}
default:
return nil, fmt.Errorf("type %v is unsupported by jsonschema", t)
}
return s, nil
}
func parseField(f reflect.StructField) (name string, required, include bool) {
if !f.IsExported() {
return "", false, false
}
name = f.Name
required = true
if tag, ok := f.Tag.Lookup("json"); ok {
props := strings.Split(tag, ",")
if props[0] != "" {
if props[0] == "-" {
return "", false, false
}
name = props[0]
}
// TODO: support 'omitzero' as well.
required = !slices.Contains(props[1:], "omitempty")
}
return name, required, true
}