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Improve handling of JSON Schema in OpenAI API Response Context #819
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Original file line number | Diff line number | Diff line change |
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@@ -4,7 +4,11 @@ | |
// and/or pass in the schema in []byte format. | ||
package jsonschema | ||
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import "encoding/json" | ||
import ( | ||
"encoding/json" | ||
"reflect" | ||
"strconv" | ||
) | ||
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type DataType string | ||
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@@ -53,3 +57,84 @@ | |
Alias: (Alias)(d), | ||
}) | ||
} | ||
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type SchemaWrapper[T any] struct { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Pardon my ignorance: do we even need this type? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The sw, err := jsonschema.Wrap(MyStructuredResponse{})
result, err := sw.Unmarshal(`{...}`) or var result MyStructuredResponse{}
schema, err := jsonschema.GenerateSchemaForType(result)
schema.Unmarshal(`{...}`, &result) |
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data T | ||
schema Definition | ||
} | ||
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func (r SchemaWrapper[T]) Schema() Definition { | ||
return r.schema | ||
} | ||
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func (r SchemaWrapper[T]) MarshalJSON() ([]byte, error) { | ||
return json.Marshal(r.schema) | ||
} | ||
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func (r SchemaWrapper[T]) Unmarshal(content string) (*T, error) { | ||
var v T | ||
err := Unmarshal(r.schema, []byte(content), &v) | ||
if err != nil { | ||
return nil, err | ||
} | ||
return &v, nil | ||
} | ||
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func (r SchemaWrapper[T]) String() string { | ||
bytes, _ := json.MarshalIndent(r.schema, "", " ") | ||
return string(bytes) | ||
} | ||
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func Warp[T any](v T) SchemaWrapper[T] { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @eiixy heads up: I think you meant There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Or even better: |
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return SchemaWrapper[T]{ | ||
data: v, | ||
schema: reflectSchema(reflect.TypeOf(v)), | ||
} | ||
} | ||
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func reflectSchema(t reflect.Type) Definition { | ||
var d Definition | ||
switch t.Kind() { | ||
Check failure on line 97 in jsonschema/json.go GitHub Actions / Sanity check
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case reflect.String: | ||
d.Type = String | ||
case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, | ||
reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64: | ||
d.Type = Integer | ||
case reflect.Float32, reflect.Float64: | ||
d.Type = Number | ||
case reflect.Bool: | ||
d.Type = Boolean | ||
case reflect.Slice, reflect.Array: | ||
d.Type = Array | ||
items := reflectSchema(t.Elem()) | ||
d.Items = &items | ||
case reflect.Struct: | ||
d.Type = Object | ||
d.AdditionalProperties = false | ||
properties := make(map[string]Definition) | ||
var requiredFields []string | ||
for i := 0; i < t.NumField(); i++ { | ||
field := t.Field(i) | ||
jsonTag := field.Tag.Get("json") | ||
if jsonTag == "" { | ||
jsonTag = field.Name | ||
} | ||
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item := reflectSchema(field.Type) | ||
description := field.Tag.Get("description") | ||
if description != "" { | ||
item.Description = description | ||
} | ||
properties[jsonTag] = item | ||
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required, _ := strconv.ParseBool(field.Tag.Get("required")) | ||
if required { | ||
requiredFields = append(requiredFields, jsonTag) | ||
} | ||
} | ||
d.Required = requiredFields | ||
d.Properties = properties | ||
default: | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I suggest we either return an error or panic here There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Thank you for the suggestion! |
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} | ||
return d | ||
} |
Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,89 @@ | ||
package jsonschema | ||
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import ( | ||
"encoding/json" | ||
"errors" | ||
) | ||
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func Unmarshal(schema Definition, content []byte, v any) error { | ||
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var data any | ||
err := json.Unmarshal(content, &data) | ||
if err != nil { | ||
return err | ||
} | ||
if !Validate(schema, data) { | ||
return errors.New("validate failed") | ||
} | ||
return json.Unmarshal(content, &v) | ||
} | ||
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func Validate(schema Definition, data interface{}) bool { | ||
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switch schema.Type { | ||
case Object: | ||
return validateObject(schema, data) | ||
case Array: | ||
return validateArray(schema, data) | ||
case String: | ||
_, ok := data.(string) | ||
return ok | ||
case Number: // float64 and int | ||
_, ok := data.(float64) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. should we also support float32 here? |
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if !ok { | ||
_, ok = data.(int) | ||
} | ||
return ok | ||
case Boolean: | ||
_, ok := data.(bool) | ||
return ok | ||
case Integer: | ||
_, ok := data.(int) | ||
return ok | ||
case Null: | ||
return data == nil | ||
default: | ||
return false | ||
} | ||
} | ||
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func validateObject(schema Definition, data any) bool { | ||
dataMap, ok := data.(map[string]any) | ||
if !ok { | ||
return false | ||
} | ||
for _, field := range schema.Required { | ||
if _, exists := dataMap[field]; !exists { | ||
return false | ||
} | ||
} | ||
for key, valueSchema := range schema.Properties { | ||
value, exists := dataMap[key] | ||
if exists && !Validate(valueSchema, value) { | ||
return false | ||
} else if !exists && contains(schema.Required, key) { | ||
return false | ||
} | ||
} | ||
return true | ||
} | ||
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func validateArray(schema Definition, data any) bool { | ||
dataArray, ok := data.([]interface{}) | ||
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if !ok { | ||
return false | ||
} | ||
for _, item := range dataArray { | ||
if !Validate(*schema.Items, item) { | ||
return false | ||
} | ||
} | ||
return true | ||
} | ||
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func contains[S ~[]E, E comparable](s S, v E) bool { | ||
for i := range s { | ||
if v == s[i] { | ||
return true | ||
} | ||
} | ||
return false | ||
} |
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Great stuff, I guess we should put a proper README example on how to use this. That should be one of the top examples for sure.
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I have added an example use case from OpenAI documentation to the README. For reference, please see: https://platform.openai.com/docs/guides/structured-outputs/examples