In Go, how can we convert snake_case keys in a JSON to camelCase ones recursively?
I am writing one http api in Go. This api fetches data from datastore, does some computation and returns the response as JSON.
The situation is that the JSON document in the datastore (ElasticSearch) is present with snake_case keys while the API response should be camelCase-based (this is just to align with other api standards within the project). The source which inserts into ES can't be modified. So it's only at the api level that the key conversion has to take place.
I have written a struct which is reading JSON from datastore nicely. But how can I convert the keys to camelCase in Go?
The JSON can be nested and all keys have to be converted.
The JSON is arbitrarily large; i.e. some keys are just mapped to type interface{}
I am also using Go's echo framework for writing the api.
Ex.
{
"is_modified" : true,
{ "attribute":
{
"legacy_id" : 12345
}
}
}
TO
{
"isModified" : true,
{ "attribute":
{
"legacyId" : 12345
}
}
}
Any pointers on how to do this in Go?
Struct:
type data_in_es struct {
IsModified bool `json:"is_modified,omitempty"`
Attribute *attribute `json:"attribute,omitempty"`
}
type attribute struct {
LegacyId int `json:"legacy_id,omitempty"`
}
Since Go 1.8 you can define two structs that only differ in their tags and trivially convert between the two:
package main
import (
"encoding/json"
"fmt"
)
type ESModel struct {
AB string `json:"a_b"`
}
type APIModel struct {
AB string `json:"aB"`
}
func main() {
b := []byte(`{
"a_b": "c"
}`)
var x ESModel
json.Unmarshal(b, &x)
b, _ = json.MarshalIndent(APIModel(x), "", " ")
fmt.Println(string(b))
}
https://play.golang.org/p/dcBkkX9zQR
To do this in general, attempt to unmarshal the JSON document into a map. If it succeeds, fix all the keys and recursively call your function for each value in the map. The example below shows how to convert all keys to upper case. Replace fixKey with the snake_case conversion function.
package main
import (
"bytes"
"encoding/json"
"fmt"
"strings"
)
func main() {
// Document source as returned by Elasticsearch
b := json.RawMessage(`{
"a_b": "c",
"d_e": ["d"],
"e_f": {
"g_h": {
"i_j": "k",
"l_m": {}
}
}
}`)
x := convertKeys(b)
buf := &bytes.Buffer{}
json.Indent(buf, []byte(x), "", " ")
fmt.Println(buf.String())
}
func convertKeys(j json.RawMessage) json.RawMessage {
m := make(map[string]json.RawMessage)
if err := json.Unmarshal([]byte(j), &m); err != nil {
// Not a JSON object
return j
}
for k, v := range m {
fixed := fixKey(k)
delete(m, k)
m[fixed] = convertKeys(v)
}
b, err := json.Marshal(m)
if err != nil {
return j
}
return json.RawMessage(b)
}
func fixKey(key string) string {
return strings.ToUpper(key)
}
https://play.golang.org/p/QQZPMGKrlg
Related
I have some JSON of the form:
[{
"type": "car",
"color": "red",
"hp": 85,
"doors": 4
}, {
"type": "plane",
"color": "blue",
"engines": 3
}]
I have types car and plane that satisfy a vehicle interface; I'd like to be able to write:
var v []vehicle
e := json.Unmarshal(myJSON, &v)
... and have JSON fill my slice of vehicles with a car and a plane; instead (and unsurprisingly) I just get "cannot unmarshal object into Go value of type main.vehicle".
For reference, here are suitable definitions of the types involved:
type vehicle interface {
vehicle()
}
type car struct {
Type string
Color string
HP int
Doors int
}
func (car) vehicle() { return }
type plane struct {
Type string
Color string
Engines int
}
func (plane) vehicle() { return }
var _ vehicle = (*car)(nil)
var _ vehicle = (*plane)(nil)
(Note that I'm actually totally uninterested in the t field on car and plane - it could be omitted because this information will, if someone successfully answers this question, be implicit in the dynamic type of the objects in v.)
Is there a way to have the JSON umarhsaller choose which type to use based on some part of the contents (in this case, the type field) of the data being decoded?
(Note that this is not a duplicate of Unmarshal JSON with unknown fields because I want each item in the slice to have a different dynamic type, and from the value of the 'type' property I know exactly what fields to expect—I just don't know how to tell json.Unmarshal how to map 'type' property values onto Go types.)
Taking the answers from the similar question: Unmarshal JSON with unknown fields, we can construct a few ways to unamrshal this JSON object in a []vehicle data structure.
The "Unmarshal with Manual Handling" version can be done by using a generic []map[string]interface{} data structure, then building the correct vehicles from the slice of maps. For brevity, this example does leave out the error checking for missing or incorrectly typed fields which the json package would have done.
https://play.golang.org/p/fAY9JwVp-4
func NewVehicle(m map[string]interface{}) vehicle {
switch m["type"].(string) {
case "car":
return NewCar(m)
case "plane":
return NewPlane(m)
}
return nil
}
func NewCar(m map[string]interface{}) *car {
return &car{
Type: m["type"].(string),
Color: m["color"].(string),
HP: int(m["hp"].(float64)),
Doors: int(m["doors"].(float64)),
}
}
func NewPlane(m map[string]interface{}) *plane {
return &plane{
Type: m["type"].(string),
Color: m["color"].(string),
Engines: int(m["engines"].(float64)),
}
}
func main() {
var vehicles []vehicle
objs := []map[string]interface{}{}
err := json.Unmarshal(js, &objs)
if err != nil {
log.Fatal(err)
}
for _, obj := range objs {
vehicles = append(vehicles, NewVehicle(obj))
}
fmt.Printf("%#v\n", vehicles)
}
We could leverage the json package again to take care of the unmarshaling and type checking of the individual structs by unmarshaling a second time directly into the correct type. This could all be wrapped up into a json.Unmarshaler implementation by defining an UnmarshalJSON method on the []vehicle type to first split up the JSON objects into raw messages.
https://play.golang.org/p/zQyL0JeB3b
type Vehicles []vehicle
func (v *Vehicles) UnmarshalJSON(data []byte) error {
// this just splits up the JSON array into the raw JSON for each object
var raw []json.RawMessage
err := json.Unmarshal(data, &raw)
if err != nil {
return err
}
for _, r := range raw {
// unamrshal into a map to check the "type" field
var obj map[string]interface{}
err := json.Unmarshal(r, &obj)
if err != nil {
return err
}
vehicleType := ""
if t, ok := obj["type"].(string); ok {
vehicleType = t
}
// unmarshal again into the correct type
var actual vehicle
switch vehicleType {
case "car":
actual = &car{}
case "plane":
actual = &plane{}
}
err = json.Unmarshal(r, actual)
if err != nil {
return err
}
*v = append(*v, actual)
}
return nil
}
JSON decoding and encoding in Go is actually surprisingly well at recognizing fields inside embedded structs. E.g. decoding or encoding the following structure works when there is no overlapping fields between type A and type B:
type T struct{
Type string `json:"type"`
*A
*B
}
type A struct{
Baz int `json:"baz"`
}
type B struct{
Bar int `json:"bar"`
}
Be aware that if both "baz" and "bar" are set in the JSON for the example above, both the T.A and T.B properties will be set.
If there is overlapping fields between A and B, or just to be able to better discard invalid combinations of fields and type, you need to implement the json.Unmarshaler interface. To not have to first decode fields into a map, you can extend the trick of using embedded structs.
type TypeSwitch struct {
Type string `json:"type"`
}
type T struct {
TypeSwitch
*A
*B
}
func (t *T) UnmarshalJSON(data []byte) error {
if err := json.Unmarshal(data, &t.TypeSwitch); err != nil {
return err
}
switch t.Type {
case "a":
t.A = &A{}
return json.Unmarshal(data, t.A)
case "b":
t.B = &B{}
return json.Unmarshal(data, t.B)
default:
return fmt.Errorf("unrecognized type value %q", t.Type)
}
}
type A struct {
Foo string `json:"bar"`
Baz int `json:"baz"`
}
type B struct {
Foo string `json:"foo"`
Bar int `json:"bar"`
}
For marshaling back, json.Marshaler must also be implemented if there is overlapping fields.
Full example: https://play.golang.org/p/UHAdxlVdFQQ
The two passes approach works fine, but there is also the option of the mapstructure package, that was created to do exactly this.
I was facing the same problem.
I'm using the lib github.com/mitchellh/mapstructure together the encoding/json.
I first, unmarshal the json to a map, and use mapstructure to convert the map to my struct, e.g.:
type (
Foo struct {
Foo string `json:"foo"`
}
Bar struct {
Bar string `json:"bar"`
}
)
func Load(jsonStr string, makeInstance func(typ string) any) (any, error) {
// json to map
m := make(map[string]any)
e := json.Unmarshal([]byte(jsonStr), &m)
if e != nil {
return nil, e
}
data := makeInstance(m["type"].(string))
// decoder to copy map values to my struct using json tags
cfg := &mapstructure.DecoderConfig{
Metadata: nil,
Result: &data,
TagName: "json",
Squash: true,
}
decoder, e := mapstructure.NewDecoder(cfg)
if e != nil {
return nil, e
}
// copy map to struct
e = decoder.Decode(m)
return data, e
}
Using:
f, _ := Load(`{"type": "Foo", "foo": "bar"}`, func(typ string) any {
switch typ {
case "Foo":
return &Foo{}
}
return nil
})
If the property is a string you can use .(string) for casting the property because the origin is an interface.
You can use it the next way:
v["type"].(string)
I am reading in json from an API response and I ran into an issue in that there are multiple data types inside the json values (strings, null, bool). In addition, some keys have values which can be either a string or null which makes reading the data into types more difficult. I want to convert everything to strings for ease of handling. I created a type switch based on googling other examples. I am wondering if this is the easiest way to do this or if I am missing a simpler approach.
package main
import (
"encoding/json"
"fmt"
"strconv"
)
func main() {
json_byte := []byte(`{"response":[{"t_int":1, "t_bool": true, "t_null_or_string": null}, {"t_int":2, "t_bool": false, "t_null_or_string": "string1"}]}`)
//unmarshal the json to data structure using interface for variable data types
data_json := make(map[string][]map[string]interface{}) //create a structure to hold unmarshalled json
if err := json.Unmarshal(json_byte, &data_json); err != nil {
panic(err)
}
fmt.Println("json_data: ", data_json)
//Iterate over data structure and convert Bool, Int, and Null types to string
var v_conv string // temporary holding for converted string values
data_map := make(map[string]string) // temporary holding for converted maps
data_final := make([]map[string]string, 0, 100) // final holding for data converted to strings
for _, v := range data_json { //v is the value of the "response": key which is a slice of maps
for _, v2 := range v { //v2 is one of the maps in the slice of maps
for k3, v3 := range v2 { //k3 and v3 are the keys and values inside the map
fmt.Println("k3: ", k3, "v3: ", v3)
switch v_type := v3.(type) {
case nil:
v_conv = ""
case bool:
v_conv = strconv.FormatBool(v3.(bool))
case int:
v_conv = strconv.Itoa(v3.(int))
case string:
v_conv = v3.(string)
case float64:
v_conv = strconv.FormatFloat(v3.(float64), 'f', 0, 64)
default:
fmt.Println("vtype unknown: ", v_type) //have to use v_type since it is declared
v_conv = ""
}
data_map[k3] = v_conv //append a new map key/value pair both as strings
fmt.Println("data_map: ", data_map)
}
data_final = append(data_final, data_map) // after each cycle through the loop append the map to the new list
fmt.Println("data_final: ", data_final)
}
}
}
Final Format Desired a Slice of Maps
[{
"t_int": "1",
"t_bool": "true",
"t_null_string": ""
},
{
"t_int": "2",
"t_bool": "false",
"t_null_string": "string1"
}]
For this answer I'm assuming that JSON in your example is an example of (part of) your JSON input.
In this case, your JSON has a specific structure: you know which attributes are coming with a known data type and also you know which attributes a dynamic.
For example, you could unmarshal your JSON into smth like ResponseObj below:
package main
import (
"encoding/json"
"fmt"
)
type ResponseObj struct {
Response []Item `json:"response"`
}
type Item struct {
TInt int `json:"t_int"`
TBool bool `json:"t_bool"`
TMixed interface{} `json:"t_null_or_string"`
}
func main() {
json_byte := []byte(`{"response":[{"t_int":1, "t_bool": true, "t_null_or_string": null}, {"t_int":2, "t_bool": false, "t_null_or_string": "string1"}]}`)
data_json := ResponseObj{}
if err := json.Unmarshal(json_byte, &data_json); err != nil {
panic(err)
}
fmt.Printf("%+v\n", data_json)
}
Your data will look like:
{
Response:
[
{
TInt:1
TBool:true
TMixed:<nil>
}
{
TInt:2
TBool:false
TMixed:string1
}
]
}
And yes, for an attribute with a mixed type you'll run a type assertion (or comparison with nil as in your case or both).
Unlikely your JSON is a total chaos of unpredictable types. Most likely, you can single out a core structure and use interface{} for remaining, mixed types.
Hope this helps.
When I use like &simplejson.Json{v} (v is a interface read from file and it's actual data structure is map[string]interface{}), then show this error. Details:
A json file named abcd
{
"pids": [
{
"pid": 168043,
"target_regions": [
40,
25,
43,
299,
240
]
},
{
"pid": 168044,
"target_regions": [
63,
65,
68
]
}
]
}
And the go file is
package main
import (
"fmt"
"io/ioutil"
sjson "github.com/bitly/go-simplejson"
)
type pidInfo struct {
Pid uint64 `json:"pid"`
TargetRegions []uint32 `json:"target_regions"`
}
type pidUnitInfo struct {
Pid2Info map[uint64]*pidInfo
}
func build() error {
content, _ := ioutil.ReadFile("./abcd")
json, err := sjson.NewJson(content)
if err != nil {
return err
}
newPidUnitInfo(json)
return nil
}
func newPidUnitInfo(json *sjson.Json) (*pidUnitInfo, error) {
newInfo := new(pidUnitInfo)
newInfo.buildPid2Info(json)
return nil, nil
}
func (pui *pidUnitInfo) buildPid2Info(json *sjson.Json) error {
raw, ok := json.CheckGet("pids")
if !ok {
return fmt.Errorf("not found json key %v", "pids")
}
pids, err := raw.Array()
if err != nil {
return err
}
pui.Pid2Info = make(map[uint64]*pidInfo, len(pids))
for _, v := range pids {
fmt.Println(v)
m := &sjson.Json{v}
fmt.Println(m)
}
return nil
}
func main() {
build()
}
When I execute it, show implicit assignment of unexported field 'data' in simplejson.Json literal at this line m := &sjson.Json{v}.
This line:
m := &sjson.Json{v}
Tries to create a value (and take the address) of the struct type Json from package go-simplejson. The type declaration is:
type Json struct {
data interface{}
}
It has one field: data which is unexported. That means packages other than go-simplejson cannot refer to this field. When you use a struct literal &sjson.Json{v}, it would try to initialize the Json.data field with value v which is a violation of this. You cannot do this.
The Json type is not designed for you to specify the internal data, it is designed so that the data will be the placeholder of some decoded JSON data (see the NewFromReader() and NewJson() constructor-like functions).
This data field is handled internally by the go-simplejson package, you cannot set it yourself. You may use sjson.New() to obtain a new *Json value which will initialize this data field with an empty map (map[string]interface{}). You may also use Json.Map() method which asserts that data is a map and returns it like that:
js := sjson.New()
m, err := js.Map()
if err != nil {
// Handle error
}
// Now you have a map of type map[string]interface{}
Or to populate the data inside a Json, you can use its Json.Set() method.
I want to convert a struct to map in Golang. It would also be nice if I could use the JSON tags as keys in the created map (otherwise defaulting to field name).
Edit Dec 14, 2020
Since structs repo was archived, you can use mapstructure instead.
Edit TL;DR version, Jun 15, 2015
If you want the fast solution for converting a structure to map, see the accepted answer, upvote it and use that package.
Happy coding! :)
Original Post
So far I have this function, I am using the reflect package but I don't understand well how to use the package, please bear with me.
func ConvertToMap(model interface{}) bson.M {
ret := bson.M{}
modelReflect := reflect.ValueOf(model)
if modelReflect.Kind() == reflect.Ptr {
modelReflect = modelReflect.Elem()
}
modelRefType := modelReflect.Type()
fieldsCount := modelReflect.NumField()
var fieldData interface{}
for i := 0; i < fieldsCount; i++ {
field := modelReflect.Field(i)
switch field.Kind() {
case reflect.Struct:
fallthrough
case reflect.Ptr:
fieldData = ConvertToMap(field.Interface())
default:
fieldData = field.Interface()
}
ret[modelRefType.Field(i).Name] = fieldData
}
return ret
}
Also I looked at JSON package source code, because it should contain my needed implementation (or parts of it) but don't understand too much.
I also had need for something like this. I was using an internal package which was converting a struct to a map. I decided to open source it with other struct based high level functions. Have a look:
https://github.com/fatih/structs
It has support for:
Convert struct to a map
Extract the fields of a struct to a []string
Extract the values of a struct to a []values
Check if a struct is initialized or not
Check if a passed interface is a struct or a pointer to struct
You can see some examples here: http://godoc.org/github.com/fatih/structs#pkg-examples
For example converting a struct to a map is a simple:
type Server struct {
Name string
ID int32
Enabled bool
}
s := &Server{
Name: "gopher",
ID: 123456,
Enabled: true,
}
// => {"Name":"gopher", "ID":123456, "Enabled":true}
m := structs.Map(s)
The structs package has support for anonymous (embedded) fields and nested structs. The package provides to filter certain fields via field tags.
From struct to map[string]interface{}
package main
import (
"fmt"
"encoding/json"
)
type MyData struct {
One int
Two string
Three int
}
func main() {
in := &MyData{One: 1, Two: "second"}
var inInterface map[string]interface{}
inrec, _ := json.Marshal(in)
json.Unmarshal(inrec, &inInterface)
// iterate through inrecs
for field, val := range inInterface {
fmt.Println("KV Pair: ", field, val)
}
}
go playground here
Here is a function I've written in the past to convert a struct to a map, using tags as keys
// ToMap converts a struct to a map using the struct's tags.
//
// ToMap uses tags on struct fields to decide which fields to add to the
// returned map.
func ToMap(in interface{}, tag string) (map[string]interface{}, error){
out := make(map[string]interface{})
v := reflect.ValueOf(in)
if v.Kind() == reflect.Ptr {
v = v.Elem()
}
// we only accept structs
if v.Kind() != reflect.Struct {
return nil, fmt.Errorf("ToMap only accepts structs; got %T", v)
}
typ := v.Type()
for i := 0; i < v.NumField(); i++ {
// gets us a StructField
fi := typ.Field(i)
if tagv := fi.Tag.Get(tag); tagv != "" {
// set key of map to value in struct field
out[tagv] = v.Field(i).Interface()
}
}
return out, nil
}
Runnable example here.
Note, if you have multiple fields with the same tag value, then you will obviously not be able to store them all within a map. It might be prudent to return an error if that happens.
I like the importable package for the accepted answer, but it does not translate my json aliases. Most of my projects have a helper function/class that I import.
Here is a function that solves my specific problem.
// Converts a struct to a map while maintaining the json alias as keys
func StructToMap(obj interface{}) (newMap map[string]interface{}, err error) {
data, err := json.Marshal(obj) // Convert to a json string
if err != nil {
return
}
err = json.Unmarshal(data, &newMap) // Convert to a map
return
}
And in the main, this is how it would be called...
package main
import (
"fmt"
"encoding/json"
"github.com/fatih/structs"
)
type MyStructObject struct {
Email string `json:"email_address"`
}
func main() {
obj := &MyStructObject{Email: "test#test.com"}
// My solution
fmt.Println(StructToMap(obj)) // prints {"email_address": "test#test.com"}
// The currently accepted solution
fmt.Println(structs.Map(obj)) // prints {"Email": "test#test.com"}
}
package main
import (
"fmt"
"reflect"
)
type bill struct {
N1 int
N2 string
n3 string
}
func main() {
a := bill{4, "dhfthf", "fdgdf"}
v := reflect.ValueOf(a)
values := make(map[string]interface{}, v.NumField())
for i := 0; i < v.NumField(); i++ {
if v.Field(i).CanInterface() {
values[v.Type().Field(i).Name] = v.Field(i).Interface()
} else {
fmt.Printf("sorry you have a unexported field (lower case) value you are trying to sneak past. I will not allow it: %v\n", v.Type().Field(i).Name)
}
}
fmt.Println(values)
passObject(&values)
}
func passObject(v1 *map[string]interface{}) {
fmt.Println("yoyo")
}
I'm a bit late but I needed this kind of feature so I wrote this. Can resolve nested structs. By default, uses field names but can also use custom tags. A side effect is that if you set the tagTitle const to json, you could use the json tags you already have.
package main
import (
"fmt"
"reflect"
)
func StructToMap(val interface{}) map[string]interface{} {
//The name of the tag you will use for fields of struct
const tagTitle = "kelvin"
var data map[string]interface{} = make(map[string]interface{})
varType := reflect.TypeOf(val)
if varType.Kind() != reflect.Struct {
// Provided value is not an interface, do what you will with that here
fmt.Println("Not a struct")
return nil
}
value := reflect.ValueOf(val)
for i := 0; i < varType.NumField(); i++ {
if !value.Field(i).CanInterface() {
//Skip unexported fields
continue
}
tag, ok := varType.Field(i).Tag.Lookup(tagTitle)
var fieldName string
if ok && len(tag) > 0 {
fieldName = tag
} else {
fieldName = varType.Field(i).Name
}
if varType.Field(i).Type.Kind() != reflect.Struct {
data[fieldName] = value.Field(i).Interface()
} else {
data[fieldName] = StructToMap(value.Field(i).Interface())
}
}
return data
}
map := Structpb.AsMap()
// map is the map[string]interface{}
I have a map that uses string for both key and value. I have an array of keys that specifies the order of the values of the map.
I want to serialize that map to a JSON, but keeping the order defined on the array.
There is a sample code here: http://play.golang.org/p/A52GTDY6Wx
I want to serialize it as:
{
"name": "John",
"age": "20"
}
But if I serialize the map directly, the keys are ordered alphabetically:
{
"age": "20",
"name": "John"
}
I can serialize it as an array of maps, thus keeping the order, however that generates a lot of undesired characters:
[
{
"name": "John"
},
{
"age": "20"
}
]
In my real code I need to serialize the results of a database query which is specified in a text file, and I need to maintain the column order. I cannot use structs because the columns are not known at compile time.
EDIT: I don't need to read the JSON later in the specified order. The generated JSON is meant to be read by people, so I just want it to be as humanly readable as possible.
I could use a custom format but JSON suits me perfectly for this.
Thanks!
You need to implement the json.Marshaler interface on a custom type. This has the advantage of playing well within other struct types.
Sorry, you're always going to have to write a little bit of JSON encoding code.
package main
import (
"bytes"
"encoding/json"
"fmt"
"log"
)
type KeyVal struct {
Key string
Val interface{}
}
// Define an ordered map
type OrderedMap []KeyVal
// Implement the json.Marshaler interface
func (omap OrderedMap) MarshalJSON() ([]byte, error) {
var buf bytes.Buffer
buf.WriteString("{")
for i, kv := range omap {
if i != 0 {
buf.WriteString(",")
}
// marshal key
key, err := json.Marshal(kv.Key)
if err != nil {
return nil, err
}
buf.Write(key)
buf.WriteString(":")
// marshal value
val, err := json.Marshal(kv.Val)
if err != nil {
return nil, err
}
buf.Write(val)
}
buf.WriteString("}")
return buf.Bytes(), nil
}
func main() {
dict := map[string]interface{}{
"orderedMap": OrderedMap{
{"name", "John"},
{"age", 20},
},
}
dump, err := json.Marshal(dict)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", dump)
}
Outputs
{"orderedMap":{"name":"John","age":20}}
For that specific requirement you really don't need to use json.Marshal at all, you can simply implement your own function like this:
type OrderedMap map[string]string
func (om OrderedMap) ToJson(order ...string) string {
buf := &bytes.Buffer{}
buf.Write([]byte{'{', '\n'})
l := len(order)
for i, k := range order {
fmt.Fprintf(buf, "\t\"%s\": \"%v\"", k, om[k])
if i < l-1 {
buf.WriteByte(',')
}
buf.WriteByte('\n')
}
buf.Write([]byte{'}', '\n'})
return buf.String()
}
func main() {
om := OrderedMap{
"age": "20",
"name": "John",
}
fmt.Println(om.ToJson("name", "age"))
}
Probably the easiest solution: https://github.com/iancoleman/orderedmap
Although it might be slow as it's mentioned here
Here is a MapSlice implementation similar to what YAML v2 offers. It can do both Marshal and Unmarshal.
https://github.com/mickep76/mapslice-json